title stringlengths 1 185 | diff stringlengths 0 32.2M | body stringlengths 0 123k ⌀ | url stringlengths 57 58 | created_at stringlengths 20 20 | closed_at stringlengths 20 20 | merged_at stringlengths 20 20 ⌀ | updated_at stringlengths 20 20 |
|---|---|---|---|---|---|---|---|
TYP: annotations in indexes | diff --git a/pandas/core/base.py b/pandas/core/base.py
index c6800d282700f..4eab5f42c39ae 100644
--- a/pandas/core/base.py
+++ b/pandas/core/base.py
@@ -3,7 +3,7 @@
"""
import builtins
import textwrap
-from typing import Dict, FrozenSet, List, Optional
+from typing import Dict, FrozenSet, List, Optional, Union
import numpy as np
@@ -112,7 +112,7 @@ def _freeze(self):
object.__setattr__(self, "__frozen", True)
# prevent adding any attribute via s.xxx.new_attribute = ...
- def __setattr__(self, key, value):
+ def __setattr__(self, key: str, value):
# _cache is used by a decorator
# We need to check both 1.) cls.__dict__ and 2.) getattr(self, key)
# because
@@ -241,7 +241,7 @@ def __getitem__(self, key):
raise KeyError(f"Column not found: {key}")
return self._gotitem(key, ndim=1)
- def _gotitem(self, key, ndim, subset=None):
+ def _gotitem(self, key, ndim: int, subset=None):
"""
sub-classes to define
return a sliced object
@@ -607,6 +607,11 @@ class IndexOpsMixin:
["tolist"] # tolist is not deprecated, just suppressed in the __dir__
)
+ @property
+ def _values(self) -> Union[ExtensionArray, np.ndarray]:
+ # must be defined here as a property for mypy
+ raise AbstractMethodError(self)
+
def transpose(self, *args, **kwargs):
"""
Return the transpose, which is by definition self.
@@ -632,6 +637,10 @@ def shape(self):
"""
return self._values.shape
+ def __len__(self) -> int:
+ # We need this defined here for mypy
+ raise AbstractMethodError(self)
+
@property
def ndim(self) -> int:
"""
@@ -666,14 +675,14 @@ def item(self):
raise ValueError("can only convert an array of size 1 to a Python scalar")
@property
- def nbytes(self):
+ def nbytes(self) -> int:
"""
Return the number of bytes in the underlying data.
"""
return self._values.nbytes
@property
- def size(self):
+ def size(self) -> int:
"""
Return the number of elements in the underlying data.
"""
@@ -1079,7 +1088,14 @@ def hasnans(self):
return bool(isna(self).any())
def _reduce(
- self, op, name, axis=0, skipna=True, numeric_only=None, filter_type=None, **kwds
+ self,
+ op,
+ name: str,
+ axis=0,
+ skipna=True,
+ numeric_only=None,
+ filter_type=None,
+ **kwds,
):
""" perform the reduction type operation if we can """
func = getattr(self, name, None)
@@ -1275,7 +1291,7 @@ def unique(self):
return result
- def nunique(self, dropna=True):
+ def nunique(self, dropna: bool = True) -> int:
"""
Return number of unique elements in the object.
@@ -1316,7 +1332,7 @@ def nunique(self, dropna=True):
return n
@property
- def is_unique(self):
+ def is_unique(self) -> bool:
"""
Return boolean if values in the object are unique.
@@ -1327,7 +1343,7 @@ def is_unique(self):
return self.nunique(dropna=False) == len(self)
@property
- def is_monotonic(self):
+ def is_monotonic(self) -> bool:
"""
Return boolean if values in the object are
monotonic_increasing.
@@ -1340,7 +1356,11 @@ def is_monotonic(self):
return Index(self).is_monotonic
- is_monotonic_increasing = is_monotonic
+ @property
+ def is_monotonic_increasing(self) -> bool:
+ """alias for is_monotonic"""
+ # mypy complains if we alias directly
+ return self.is_monotonic
@property
def is_monotonic_decreasing(self) -> bool:
@@ -1493,7 +1513,7 @@ def factorize(self, sort=False, na_sentinel=-1):
@Substitution(klass="Index")
@Appender(_shared_docs["searchsorted"])
- def searchsorted(self, value, side="left", sorter=None):
+ def searchsorted(self, value, side="left", sorter=None) -> np.ndarray:
return algorithms.searchsorted(self._values, value, side=side, sorter=sorter)
def drop_duplicates(self, keep="first", inplace=False):
diff --git a/pandas/core/common.py b/pandas/core/common.py
index f0fcb736586d6..c883ec9fa49b7 100644
--- a/pandas/core/common.py
+++ b/pandas/core/common.py
@@ -178,35 +178,35 @@ def not_none(*args):
return (arg for arg in args if arg is not None)
-def any_none(*args):
+def any_none(*args) -> bool:
"""
Returns a boolean indicating if any argument is None.
"""
return any(arg is None for arg in args)
-def all_none(*args):
+def all_none(*args) -> bool:
"""
Returns a boolean indicating if all arguments are None.
"""
return all(arg is None for arg in args)
-def any_not_none(*args):
+def any_not_none(*args) -> bool:
"""
Returns a boolean indicating if any argument is not None.
"""
return any(arg is not None for arg in args)
-def all_not_none(*args):
+def all_not_none(*args) -> bool:
"""
Returns a boolean indicating if all arguments are not None.
"""
return all(arg is not None for arg in args)
-def count_not_none(*args):
+def count_not_none(*args) -> int:
"""
Returns the count of arguments that are not None.
"""
@@ -286,7 +286,7 @@ def maybe_iterable_to_list(obj: Union[Iterable[T], T]) -> Union[Collection[T], T
return obj
-def is_null_slice(obj):
+def is_null_slice(obj) -> bool:
"""
We have a null slice.
"""
@@ -306,7 +306,7 @@ def is_true_slices(l):
# TODO: used only once in indexing; belongs elsewhere?
-def is_full_slice(obj, l):
+def is_full_slice(obj, l) -> bool:
"""
We have a full length slice.
"""
diff --git a/pandas/core/indexes/base.py b/pandas/core/indexes/base.py
index c158bdfbac441..1a79207f6f471 100644
--- a/pandas/core/indexes/base.py
+++ b/pandas/core/indexes/base.py
@@ -51,7 +51,6 @@
ABCCategorical,
ABCDataFrame,
ABCDatetimeIndex,
- ABCIndexClass,
ABCIntervalIndex,
ABCMultiIndex,
ABCPandasArray,
@@ -511,7 +510,7 @@ def _shallow_copy(self, values=None, **kwargs):
if not len(values) and "dtype" not in kwargs:
attributes["dtype"] = self.dtype
- # _simple_new expects an the type of self._data
+ # _simple_new expects the type of self._data
values = getattr(values, "_values", values)
return self._simple_new(values, **attributes)
@@ -533,6 +532,7 @@ def _shallow_copy_with_infer(self, values, **kwargs):
attributes.update(kwargs)
attributes["copy"] = False
if not len(values) and "dtype" not in kwargs:
+ # TODO: what if hasattr(values, "dtype")?
attributes["dtype"] = self.dtype
if self._infer_as_myclass:
try:
@@ -860,7 +860,7 @@ def __deepcopy__(self, memo=None):
# --------------------------------------------------------------------
# Rendering Methods
- def __repr__(self):
+ def __repr__(self) -> str_t:
"""
Return a string representation for this object.
"""
@@ -879,7 +879,7 @@ def __repr__(self):
return res
- def _format_space(self):
+ def _format_space(self) -> str_t:
# using space here controls if the attributes
# are line separated or not (the default)
@@ -896,18 +896,19 @@ def _formatter_func(self):
"""
return default_pprint
- def _format_data(self, name=None):
+ def _format_data(self, name=None) -> str_t:
"""
Return the formatted data as a unicode string.
"""
# do we want to justify (only do so for non-objects)
- is_justify = not (
- self.inferred_type in ("string")
- or (
- self.inferred_type == "categorical" and is_object_dtype(self.categories)
- )
- )
+ is_justify = True
+
+ if self.inferred_type == "string":
+ is_justify = False
+ elif self.inferred_type == "categorical":
+ if is_object_dtype(self.categories): # type: ignore
+ is_justify = False
return format_object_summary(
self, self._formatter_func, is_justify=is_justify, name=name
@@ -923,7 +924,7 @@ def _mpl_repr(self):
# how to represent ourselves to matplotlib
return self.values
- def format(self, name=False, formatter=None, **kwargs):
+ def format(self, name: bool = False, formatter=None, **kwargs):
"""
Render a string representation of the Index.
"""
@@ -1009,7 +1010,7 @@ def _format_native_types(self, na_rep="", quoting=None, **kwargs):
values[mask] = na_rep
return values
- def _summary(self, name=None):
+ def _summary(self, name=None) -> str_t:
"""
Return a summarized representation.
@@ -1089,7 +1090,7 @@ def to_series(self, index=None, name=None):
return Series(self.values.copy(), index=index, name=name)
- def to_frame(self, index=True, name=None):
+ def to_frame(self, index: bool = True, name=None):
"""
Create a DataFrame with a column containing the Index.
@@ -1172,7 +1173,7 @@ def name(self, value):
maybe_extract_name(value, None, type(self))
self._name = value
- def _validate_names(self, name=None, names=None, deep=False):
+ def _validate_names(self, name=None, names=None, deep: bool = False):
"""
Handles the quirks of having a singular 'name' parameter for general
Index and plural 'names' parameter for MultiIndex.
@@ -1225,7 +1226,7 @@ def _set_names(self, values, level=None):
names = property(fset=_set_names, fget=_get_names)
- def set_names(self, names, level=None, inplace=False):
+ def set_names(self, names, level=None, inplace: bool = False):
"""
Set Index or MultiIndex name.
@@ -1394,7 +1395,7 @@ def _validate_index_level(self, level):
f"Requested level ({level}) does not match index name ({self.name})"
)
- def _get_level_number(self, level):
+ def _get_level_number(self, level) -> int:
self._validate_index_level(level)
return 0
@@ -1564,7 +1565,7 @@ def is_monotonic(self) -> bool:
return self.is_monotonic_increasing
@property
- def is_monotonic_increasing(self):
+ def is_monotonic_increasing(self) -> bool:
"""
Return if the index is monotonic increasing (only equal or
increasing) values.
@@ -1973,14 +1974,14 @@ def is_mixed(self) -> bool:
"""
return self.inferred_type in ["mixed"]
- def holds_integer(self):
+ def holds_integer(self) -> bool:
"""
Whether the type is an integer type.
"""
return self.inferred_type in ["integer", "mixed-integer"]
@cache_readonly
- def inferred_type(self):
+ def inferred_type(self) -> str_t:
"""
Return a string of the type inferred from the values.
"""
@@ -2028,7 +2029,7 @@ def _nan_idxs(self):
return np.array([], dtype=np.int64)
@cache_readonly
- def hasnans(self):
+ def hasnans(self) -> bool:
"""
Return if I have any nans; enables various perf speedups.
"""
@@ -2333,13 +2334,13 @@ def duplicated(self, keep="first"):
"""
return super().duplicated(keep=keep)
- def _get_unique_index(self, dropna=False):
+ def _get_unique_index(self, dropna: bool = False):
"""
Returns an index containing unique values.
Parameters
----------
- dropna : bool
+ dropna : bool, default False
If True, NaN values are dropped.
Returns
@@ -2446,7 +2447,7 @@ def _union_incompatible_dtypes(self, other, sort):
other = Index(other).astype(object, copy=False)
return Index.union(this, other, sort=sort).astype(object, copy=False)
- def _is_compatible_with_other(self, other):
+ def _is_compatible_with_other(self, other) -> bool:
"""
Check whether this and the other dtype are compatible with each other.
Meaning a union can be formed between them without needing to be cast
@@ -3296,7 +3297,7 @@ def _convert_index_indexer(self, keyarr):
----------
keyarr : Index (or sub-class)
Indexer to convert.
- kind : iloc, ix, loc, optional
+ kind : iloc, loc, optional
Returns
-------
@@ -3309,7 +3310,6 @@ def _convert_list_indexer(self, keyarr, kind=None):
kind in [None, "iloc"]
and is_integer_dtype(keyarr)
and not self.is_floating()
- and not isinstance(keyarr, ABCPeriodIndex)
):
if self.inferred_type == "mixed-integer":
@@ -3902,7 +3902,7 @@ def _wrap_joined_index(self, joined, other):
# Uncategorized Methods
@property
- def values(self):
+ def values(self) -> np.ndarray:
"""
Return an array representing the data in the Index.
@@ -3924,7 +3924,7 @@ def values(self):
return self._data.view(np.ndarray)
@property
- def _values(self) -> Union[ExtensionArray, ABCIndexClass, np.ndarray]:
+ def _values(self) -> Union[ExtensionArray, np.ndarray]:
"""
The best array representation.
@@ -3954,7 +3954,7 @@ def _values(self) -> Union[ExtensionArray, ABCIndexClass, np.ndarray]:
"""
return self._data
- def _internal_get_values(self):
+ def _internal_get_values(self) -> np.ndarray:
"""
Return `Index` data as an `numpy.ndarray`.
@@ -3999,7 +3999,7 @@ def _internal_get_values(self):
return self.values
@Appender(IndexOpsMixin.memory_usage.__doc__)
- def memory_usage(self, deep=False):
+ def memory_usage(self, deep: bool = False) -> int:
result = super().memory_usage(deep=deep)
# include our engine hashtable
@@ -4448,7 +4448,7 @@ def asof_locs(self, where, mask):
return result
- def sort_values(self, return_indexer=False, ascending=True):
+ def sort_values(self, return_indexer: bool = False, ascending: bool = True):
"""
Return a sorted copy of the index.
@@ -4971,7 +4971,7 @@ def _maybe_cast_indexer(self, key):
pass
return key
- def _validate_indexer(self, form, key, kind):
+ def _validate_indexer(self, form, key, kind: str_t):
"""
If we are positional indexer, validate that we have appropriate
typed bounds must be an integer.
diff --git a/pandas/core/indexes/datetimelike.py b/pandas/core/indexes/datetimelike.py
index 1bfec9fbad0ed..308f10741c2aa 100644
--- a/pandas/core/indexes/datetimelike.py
+++ b/pandas/core/indexes/datetimelike.py
@@ -626,8 +626,6 @@ def _set_freq(self, freq):
def _shallow_copy(self, values=None, **kwargs):
if values is None:
values = self._data
- if isinstance(values, type(self)):
- values = values._data
attributes = self._get_attributes_dict()
diff --git a/pandas/core/indexes/numeric.py b/pandas/core/indexes/numeric.py
index 465f21da1278a..47720ae2310a6 100644
--- a/pandas/core/indexes/numeric.py
+++ b/pandas/core/indexes/numeric.py
@@ -288,9 +288,9 @@ def _assert_safe_casting(cls, data, subarr):
if not np.array_equal(data, subarr):
raise TypeError("Unsafe NumPy casting, you must explicitly cast")
- def _is_compatible_with_other(self, other):
+ def _is_compatible_with_other(self, other) -> bool:
return super()._is_compatible_with_other(other) or all(
- isinstance(type(obj), (ABCInt64Index, ABCFloat64Index, ABCRangeIndex))
+ isinstance(obj, (ABCInt64Index, ABCFloat64Index, ABCRangeIndex))
for obj in [self, other]
)
@@ -345,10 +345,9 @@ def _assert_safe_casting(cls, data, subarr):
if not np.array_equal(data, subarr):
raise TypeError("Unsafe NumPy casting, you must explicitly cast")
- def _is_compatible_with_other(self, other):
+ def _is_compatible_with_other(self, other) -> bool:
return super()._is_compatible_with_other(other) or all(
- isinstance(type(obj), (ABCUInt64Index, ABCFloat64Index))
- for obj in [self, other]
+ isinstance(obj, (ABCUInt64Index, ABCFloat64Index)) for obj in [self, other]
)
@@ -399,10 +398,7 @@ def _convert_scalar_indexer(self, key, kind=None):
return key
@Appender(_index_shared_docs["_convert_slice_indexer"])
- def _convert_slice_indexer(self, key, kind=None):
- # if we are not a slice, then we are done
- if not isinstance(key, slice):
- return key
+ def _convert_slice_indexer(self, key: slice, kind=None):
if kind == "iloc":
return super()._convert_slice_indexer(key, kind=kind)
@@ -494,11 +490,10 @@ def isin(self, values, level=None):
self._validate_index_level(level)
return algorithms.isin(np.array(self), values)
- def _is_compatible_with_other(self, other):
+ def _is_compatible_with_other(self, other) -> bool:
return super()._is_compatible_with_other(other) or all(
isinstance(
- type(obj),
- (ABCInt64Index, ABCFloat64Index, ABCUInt64Index, ABCRangeIndex),
+ obj, (ABCInt64Index, ABCFloat64Index, ABCUInt64Index, ABCRangeIndex),
)
for obj in [self, other]
)
| https://api.github.com/repos/pandas-dev/pandas/pulls/31181 | 2020-01-21T19:24:52Z | 2020-01-24T03:28:41Z | 2020-01-24T03:28:41Z | 2020-01-24T04:42:47Z | |
BUG/CLN: use more-correct isinstance check | diff --git a/pandas/core/indexes/numeric.py b/pandas/core/indexes/numeric.py
index 465f21da1278a..fa79c1f1a528f 100644
--- a/pandas/core/indexes/numeric.py
+++ b/pandas/core/indexes/numeric.py
@@ -347,8 +347,7 @@ def _assert_safe_casting(cls, data, subarr):
def _is_compatible_with_other(self, other):
return super()._is_compatible_with_other(other) or all(
- isinstance(type(obj), (ABCUInt64Index, ABCFloat64Index))
- for obj in [self, other]
+ isinstance(obj, (ABCUInt64Index, ABCFloat64Index)) for obj in [self, other]
)
@@ -497,8 +496,7 @@ def isin(self, values, level=None):
def _is_compatible_with_other(self, other):
return super()._is_compatible_with_other(other) or all(
isinstance(
- type(obj),
- (ABCInt64Index, ABCFloat64Index, ABCUInt64Index, ABCRangeIndex),
+ obj, (ABCInt64Index, ABCFloat64Index, ABCUInt64Index, ABCRangeIndex),
)
for obj in [self, other]
)
| this is only kind of a bug, since the isinstance check still returns True on the `type(obj)` | https://api.github.com/repos/pandas-dev/pandas/pulls/31180 | 2020-01-21T17:45:21Z | 2020-01-24T04:39:06Z | 2020-01-24T04:39:06Z | 2020-01-24T04:39:30Z |
CLN: core.internals | diff --git a/pandas/core/frame.py b/pandas/core/frame.py
index 4257083cc8dc5..40a5ce25f4422 100644
--- a/pandas/core/frame.py
+++ b/pandas/core/frame.py
@@ -3610,12 +3610,12 @@ def reindexer(value):
# Explicitly copy here, instead of in sanitize_index,
# as sanitize_index won't copy an EA, even with copy=True
value = value.copy()
- value = sanitize_index(value, self.index, copy=False)
+ value = sanitize_index(value, self.index)
elif isinstance(value, Index) or is_sequence(value):
# turn me into an ndarray
- value = sanitize_index(value, self.index, copy=False)
+ value = sanitize_index(value, self.index)
if not isinstance(value, (np.ndarray, Index)):
if isinstance(value, list) and len(value) > 0:
value = maybe_convert_platform(value)
diff --git a/pandas/core/internals/blocks.py b/pandas/core/internals/blocks.py
index cb702a81d2bde..58ee72ace4d37 100644
--- a/pandas/core/internals/blocks.py
+++ b/pandas/core/internals/blocks.py
@@ -2994,7 +2994,6 @@ def make_block(values, placement, klass=None, ndim=None, dtype=None):
def _extend_blocks(result, blocks=None):
""" return a new extended blocks, given the result """
- from pandas.core.internals import BlockManager
if blocks is None:
blocks = []
@@ -3004,9 +3003,8 @@ def _extend_blocks(result, blocks=None):
blocks.extend(r)
else:
blocks.append(r)
- elif isinstance(result, BlockManager):
- blocks.extend(result.blocks)
else:
+ assert isinstance(result, Block), type(result)
blocks.append(result)
return blocks
diff --git a/pandas/core/internals/construction.py b/pandas/core/internals/construction.py
index 3a92cfd9bf16d..798386825d802 100644
--- a/pandas/core/internals/construction.py
+++ b/pandas/core/internals/construction.py
@@ -74,7 +74,7 @@ def arrays_to_mgr(arrays, arr_names, index, columns, dtype=None):
return create_block_manager_from_arrays(arrays, arr_names, axes)
-def masked_rec_array_to_mgr(data, index, columns, dtype, copy):
+def masked_rec_array_to_mgr(data, index, columns, dtype, copy: bool):
"""
Extract from a masked rec array and create the manager.
"""
@@ -143,7 +143,7 @@ def init_ndarray(values, index, columns, dtype=None, copy=False):
):
if not hasattr(values, "dtype"):
- values = prep_ndarray(values, copy=copy)
+ values = _prep_ndarray(values, copy=copy)
values = values.ravel()
elif copy:
values = values.copy()
@@ -166,7 +166,7 @@ def init_ndarray(values, index, columns, dtype=None, copy=False):
# by definition an array here
# the dtypes will be coerced to a single dtype
- values = prep_ndarray(values, copy=copy)
+ values = _prep_ndarray(values, copy=copy)
if dtype is not None:
if not is_dtype_equal(values.dtype, dtype):
@@ -257,7 +257,7 @@ def init_dict(data, index, columns, dtype=None):
# ---------------------------------------------------------------------
-def prep_ndarray(values, copy=True) -> np.ndarray:
+def _prep_ndarray(values, copy: bool = True) -> np.ndarray:
if not isinstance(values, (np.ndarray, ABCSeries, Index)):
if len(values) == 0:
return np.empty((0, 0), dtype=object)
@@ -598,29 +598,24 @@ def convert(arr):
# Series-Based
-def sanitize_index(data, index, copy=False):
+def sanitize_index(data, index: Index):
"""
Sanitize an index type to return an ndarray of the underlying, pass
through a non-Index.
"""
- if index is None:
- return data
-
if len(data) != len(index):
raise ValueError("Length of values does not match length of index")
- if isinstance(data, ABCIndexClass) and not copy:
+ if isinstance(data, ABCIndexClass):
pass
elif isinstance(data, (ABCPeriodIndex, ABCDatetimeIndex)):
data = data._values
- if copy:
- data = data.copy()
elif isinstance(data, np.ndarray):
# coerce datetimelike types
if data.dtype.kind in ["M", "m"]:
- data = sanitize_array(data, index, copy=copy)
+ data = sanitize_array(data, index, copy=False)
return data
| some annotations, remove an unused argument, privatize where possible, avoid a runtime/circular import | https://api.github.com/repos/pandas-dev/pandas/pulls/31179 | 2020-01-21T17:22:22Z | 2020-01-23T08:07:07Z | 2020-01-23T08:07:06Z | 2020-01-23T17:26:46Z |
BUG: inconsistency between PeriodIndex.get_value vs get_loc | diff --git a/doc/source/whatsnew/v1.1.0.rst b/doc/source/whatsnew/v1.1.0.rst
index d0644fbb7ef54..3411be475ef11 100644
--- a/doc/source/whatsnew/v1.1.0.rst
+++ b/doc/source/whatsnew/v1.1.0.rst
@@ -144,7 +144,7 @@ Interval
Indexing
^^^^^^^^
- Bug in slicing on a :class:`DatetimeIndex` with a partial-timestamp dropping high-resolution indices near the end of a year, quarter, or month (:issue:`31064`)
--
+- Bug in :meth:`PeriodIndex.get_loc` treating higher-resolution strings differently from :meth:`PeriodIndex.get_value` (:issue:`31172`)
-
Missing
diff --git a/pandas/core/indexes/period.py b/pandas/core/indexes/period.py
index 2a40f4a6f6239..fe6c1ba808f9a 100644
--- a/pandas/core/indexes/period.py
+++ b/pandas/core/indexes/period.py
@@ -486,7 +486,7 @@ def get_value(self, series, key):
try:
loc = self._get_string_slice(key)
return series[loc]
- except (TypeError, ValueError):
+ except (TypeError, ValueError, OverflowError):
pass
asdt, reso = parse_time_string(key, self.freq)
@@ -567,18 +567,34 @@ def get_loc(self, key, method=None, tolerance=None):
"""
if isinstance(key, str):
+
try:
- return self._get_string_slice(key)
- except (TypeError, KeyError, ValueError, OverflowError):
+ loc = self._get_string_slice(key)
+ return loc
+ except (TypeError, ValueError):
pass
try:
asdt, reso = parse_time_string(key, self.freq)
- key = asdt
except DateParseError:
# A string with invalid format
raise KeyError(f"Cannot interpret '{key}' as period")
+ grp = resolution.Resolution.get_freq_group(reso)
+ freqn = resolution.get_freq_group(self.freq)
+
+ # _get_string_slice will handle cases where grp < freqn
+ assert grp >= freqn
+
+ if grp == freqn:
+ key = Period(asdt, freq=self.freq)
+ loc = self.get_loc(key, method=method, tolerance=tolerance)
+ return loc
+ elif method is None:
+ raise KeyError(key)
+ else:
+ key = asdt
+
elif is_integer(key):
# Period constructor will cast to string, which we dont want
raise KeyError(key)
diff --git a/pandas/tests/indexes/period/test_indexing.py b/pandas/tests/indexes/period/test_indexing.py
index 1e3160980e8bb..4c1438915ab33 100644
--- a/pandas/tests/indexes/period/test_indexing.py
+++ b/pandas/tests/indexes/period/test_indexing.py
@@ -518,12 +518,20 @@ def test_contains(self):
ps0 = [p0, p1, p2]
idx0 = pd.PeriodIndex(ps0)
+ ser = pd.Series(range(6, 9), index=idx0)
for p in ps0:
assert p in idx0
assert str(p) in idx0
- assert "2017-09-01 00:00:01" in idx0
+ # GH#31172
+ # Higher-resolution period-like are _not_ considered as contained
+ key = "2017-09-01 00:00:01"
+ assert key not in idx0
+ with pytest.raises(KeyError, match=key):
+ idx0.get_loc(key)
+ with pytest.raises(KeyError, match=key):
+ idx0.get_value(ser, key)
assert "2017-09" in idx0
| ATM we have inconsistent treatment for indexing with strings where the string has a higher resolution than the PeriodIndex. Luckily only one test checks for the inconsistent `PeriodIndex.__contains__` behavior, so fixing it isn't _too_ invasive.
```
pi = pd.period_range("2017-09-01", freq="D", periods=3)
ser = pd.Series(range(5, 8), index=pi)
key = "2017-09-01 00:00:01"
# master
>>> key in pi
True
>>> pi.get_loc(key)
0
>>> pi.get_value(ser, key)
KeyError: '2017-09-01 00:00:01'
# PR
>>> key in pi
False
>>> pi.get_loc(key)
KeyError: '2017-09-01 00:00:01'
>>> pi.get_value(ser, key)
KeyError: '2017-09-01 00:00:01'
```
Note: the diff is fairly big because we're mirroring the code in `get_value`. Once this is fixed, we'll have get_value dispatch to get_loc and remove basically the same amount of code as we're adding here. | https://api.github.com/repos/pandas-dev/pandas/pulls/31172 | 2020-01-21T02:44:42Z | 2020-01-25T16:07:16Z | 2020-01-25T16:07:16Z | 2020-01-25T16:34:19Z |
TST: Add more regression tests for fixed issues | diff --git a/pandas/tests/frame/test_constructors.py b/pandas/tests/frame/test_constructors.py
index b1620df91ba26..7b1a9d8ff6ae3 100644
--- a/pandas/tests/frame/test_constructors.py
+++ b/pandas/tests/frame/test_constructors.py
@@ -412,6 +412,12 @@ def test_constructor_dict_order_insertion(self):
expected = DataFrame(data=d, columns=list("ba"))
tm.assert_frame_equal(frame, expected)
+ def test_constructor_dict_nan_key_and_columns(self):
+ # GH 16894
+ result = pd.DataFrame({np.nan: [1, 2], 2: [2, 3]}, columns=[np.nan, 2])
+ expected = pd.DataFrame([[1, 2], [2, 3]], columns=[np.nan, 2])
+ tm.assert_frame_equal(result, expected)
+
def test_constructor_multi_index(self):
# GH 4078
# construction error with mi and all-nan frame
diff --git a/pandas/tests/groupby/aggregate/test_aggregate.py b/pandas/tests/groupby/aggregate/test_aggregate.py
index 3d842aca210ed..0a7272bbc131c 100644
--- a/pandas/tests/groupby/aggregate/test_aggregate.py
+++ b/pandas/tests/groupby/aggregate/test_aggregate.py
@@ -630,6 +630,22 @@ def test_lambda_named_agg(func):
tm.assert_frame_equal(result, expected)
+def test_aggregate_mixed_types():
+ # GH 16916
+ df = pd.DataFrame(
+ data=np.array([0] * 9).reshape(3, 3), columns=list("XYZ"), index=list("abc")
+ )
+ df["grouping"] = ["group 1", "group 1", 2]
+ result = df.groupby("grouping").aggregate(lambda x: x.tolist())
+ expected_data = [[[0], [0], [0]], [[0, 0], [0, 0], [0, 0]]]
+ expected = pd.DataFrame(
+ expected_data,
+ index=Index([2, "group 1"], dtype="object", name="grouping"),
+ columns=Index(["X", "Y", "Z"], dtype="object"),
+ )
+ tm.assert_frame_equal(result, expected)
+
+
class TestLambdaMangling:
def test_basic(self):
df = pd.DataFrame({"A": [0, 0, 1, 1], "B": [1, 2, 3, 4]})
diff --git a/pandas/tests/indexes/interval/test_indexing.py b/pandas/tests/indexes/interval/test_indexing.py
index 1bfc58733a110..87b72f702e2aa 100644
--- a/pandas/tests/indexes/interval/test_indexing.py
+++ b/pandas/tests/indexes/interval/test_indexing.py
@@ -312,6 +312,18 @@ def test_get_indexer_non_unique_with_int_and_float(self, query, expected):
# TODO we may also want to test get_indexer for the case when
# the intervals are duplicated, decreasing, non-monotonic, etc..
+ def test_get_indexer_non_monotonic(self):
+ # GH 16410
+ idx1 = IntervalIndex.from_tuples([(2, 3), (4, 5), (0, 1)])
+ idx2 = IntervalIndex.from_tuples([(0, 1), (2, 3), (6, 7), (8, 9)])
+ result = idx1.get_indexer(idx2)
+ expected = np.array([2, 0, -1, -1], dtype=np.intp)
+ tm.assert_numpy_array_equal(result, expected)
+
+ result = idx1.get_indexer(idx1[1:])
+ expected = np.array([1, 2], dtype=np.intp)
+ tm.assert_numpy_array_equal(result, expected)
+
class TestSliceLocs:
def test_slice_locs_with_interval(self):
diff --git a/pandas/tests/indexing/multiindex/test_getitem.py b/pandas/tests/indexing/multiindex/test_getitem.py
index 8ea825da8f94f..c15fa34283f21 100644
--- a/pandas/tests/indexing/multiindex/test_getitem.py
+++ b/pandas/tests/indexing/multiindex/test_getitem.py
@@ -250,3 +250,13 @@ def test_frame_mi_access_returns_frame(dataframe_with_duplicate_index):
).T
result = df["A"]["B2"]
tm.assert_frame_equal(result, expected)
+
+
+def test_frame_mi_empty_slice():
+ # GH 15454
+ df = DataFrame(0, index=range(2), columns=MultiIndex.from_product([[1], [2]]))
+ result = df[[]]
+ expected = DataFrame(
+ index=[0, 1], columns=MultiIndex(levels=[[1], [2]], codes=[[], []])
+ )
+ tm.assert_frame_equal(result, expected)
diff --git a/pandas/tests/indexing/multiindex/test_loc.py b/pandas/tests/indexing/multiindex/test_loc.py
index 3b8aa963ac698..b7802d9b8fe0c 100644
--- a/pandas/tests/indexing/multiindex/test_loc.py
+++ b/pandas/tests/indexing/multiindex/test_loc.py
@@ -468,3 +468,22 @@ def test_loc_period_string_indexing():
),
)
tm.assert_series_equal(result, expected)
+
+
+def test_loc_datetime_mask_slicing():
+ # GH 16699
+ dt_idx = pd.to_datetime(["2017-05-04", "2017-05-05"])
+ m_idx = pd.MultiIndex.from_product([dt_idx, dt_idx], names=["Idx1", "Idx2"])
+ df = pd.DataFrame(
+ data=[[1, 2], [3, 4], [5, 6], [7, 6]], index=m_idx, columns=["C1", "C2"]
+ )
+ result = df.loc[(dt_idx[0], (df.index.get_level_values(1) > "2017-05-04")), "C1"]
+ expected = pd.Series(
+ [3],
+ name="C1",
+ index=MultiIndex.from_tuples(
+ [(pd.Timestamp("2017-05-04"), pd.Timestamp("2017-05-05"))],
+ names=["Idx1", "Idx2"],
+ ),
+ )
+ tm.assert_series_equal(result, expected)
diff --git a/pandas/tests/resample/test_resampler_grouper.py b/pandas/tests/resample/test_resampler_grouper.py
index 4e3585c0be884..03c1445e099a0 100644
--- a/pandas/tests/resample/test_resampler_grouper.py
+++ b/pandas/tests/resample/test_resampler_grouper.py
@@ -230,6 +230,23 @@ def f(x):
tm.assert_series_equal(result, expected)
+def test_apply_columns_multilevel():
+ # GH 16231
+ cols = pd.MultiIndex.from_tuples([("A", "a", "", "one"), ("B", "b", "i", "two")])
+ ind = date_range(start="2017-01-01", freq="15Min", periods=8)
+ df = DataFrame(np.array([0] * 16).reshape(8, 2), index=ind, columns=cols)
+ agg_dict = {col: (np.sum if col[3] == "one" else np.mean) for col in df.columns}
+ result = df.resample("H").apply(lambda x: agg_dict[x.name](x))
+ expected = DataFrame(
+ np.array([0] * 4).reshape(2, 2),
+ index=date_range(start="2017-01-01", freq="1H", periods=2),
+ columns=pd.MultiIndex.from_tuples(
+ [("A", "a", "", "one"), ("B", "b", "i", "two")]
+ ),
+ )
+ tm.assert_frame_equal(result, expected)
+
+
def test_resample_groupby_with_label():
# GH 13235
index = date_range("2000-01-01", freq="2D", periods=5)
diff --git a/pandas/tests/reshape/test_pivot.py b/pandas/tests/reshape/test_pivot.py
index 6850c52ca05ea..fe75aef1ca3d7 100644
--- a/pandas/tests/reshape/test_pivot.py
+++ b/pandas/tests/reshape/test_pivot.py
@@ -2649,6 +2649,46 @@ def test_crosstab_unsorted_order(self):
)
tm.assert_frame_equal(result, expected)
+ def test_crosstab_normalize_multiple_columns(self):
+ # GH 15150
+ df = pd.DataFrame(
+ {
+ "A": ["one", "one", "two", "three"] * 6,
+ "B": ["A", "B", "C"] * 8,
+ "C": ["foo", "foo", "foo", "bar", "bar", "bar"] * 4,
+ "D": [0] * 24,
+ "E": [0] * 24,
+ }
+ )
+ result = pd.crosstab(
+ [df.A, df.B],
+ df.C,
+ values=df.D,
+ aggfunc=np.sum,
+ normalize=True,
+ margins=True,
+ )
+ expected = pd.DataFrame(
+ np.array([0] * 29 + [1], dtype=float).reshape(10, 3),
+ columns=Index(["bar", "foo", "All"], dtype="object", name="C"),
+ index=MultiIndex.from_tuples(
+ [
+ ("one", "A"),
+ ("one", "B"),
+ ("one", "C"),
+ ("three", "A"),
+ ("three", "B"),
+ ("three", "C"),
+ ("two", "A"),
+ ("two", "B"),
+ ("two", "C"),
+ ("All", ""),
+ ],
+ names=["A", "B"],
+ ),
+ )
+ tm.assert_frame_equal(result, expected)
+
def test_margin_normalize(self):
# GH 27500
df = pd.DataFrame(
| - [x] closes #16894
- [x] closes #16916
- [x] closes #16410
- [x] closes #15454
- [x] closes #16699
- [x] closes #16231
- [x] closes #15150
- [x] tests added / passed
- [x] passes `black pandas`
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
| https://api.github.com/repos/pandas-dev/pandas/pulls/31171 | 2020-01-21T02:29:18Z | 2020-01-21T18:26:47Z | 2020-01-21T18:26:45Z | 2020-01-21T18:26:52Z |
REF: require scalar in IntervalIndex.get_loc, get_value | diff --git a/pandas/core/indexes/interval.py b/pandas/core/indexes/interval.py
index 3108c1a1afd0c..a756900ff9ae5 100644
--- a/pandas/core/indexes/interval.py
+++ b/pandas/core/indexes/interval.py
@@ -1,7 +1,7 @@
""" define the IntervalIndex """
from operator import le, lt
import textwrap
-from typing import Any, Optional, Tuple, Union
+from typing import TYPE_CHECKING, Any, Optional, Tuple, Union
import numpy as np
@@ -34,7 +34,6 @@
is_object_dtype,
is_scalar,
)
-from pandas.core.dtypes.generic import ABCSeries
from pandas.core.dtypes.missing import isna
from pandas.core import accessor
@@ -59,6 +58,10 @@
from pandas.tseries.frequencies import to_offset
from pandas.tseries.offsets import DateOffset
+if TYPE_CHECKING:
+ from pandas import Series
+
+
_VALID_CLOSED = {"left", "right", "both", "neither"}
_index_doc_kwargs = dict(ibase._index_doc_kwargs)
@@ -681,7 +684,7 @@ def _searchsorted_monotonic(self, label, side, exclude_label=False):
return sub_idx._searchsorted_monotonic(label, side)
def get_loc(
- self, key: Any, method: Optional[str] = None, tolerance=None
+ self, key, method: Optional[str] = None, tolerance=None
) -> Union[int, slice, np.ndarray]:
"""
Get integer location, slice or boolean mask for requested label.
@@ -723,10 +726,8 @@ def get_loc(
"""
self._check_method(method)
- # list-like are invalid labels for II but in some cases may work, e.g
- # single element array of comparable type, so guard against them early
- if is_list_like(key):
- raise KeyError(key)
+ if not is_scalar(key):
+ raise InvalidIndexError(key)
if isinstance(key, Interval):
if self.closed != key.closed:
@@ -819,6 +820,9 @@ def get_indexer(
loc = self.get_loc(key)
except KeyError:
loc = -1
+ except InvalidIndexError:
+ # i.e. non-scalar key
+ raise TypeError(key)
indexer.append(loc)
return ensure_platform_int(indexer)
@@ -882,25 +886,15 @@ def get_indexer_for(self, target: AnyArrayLike, **kwargs) -> np.ndarray:
return self.get_indexer(target, **kwargs)
@Appender(_index_shared_docs["get_value"] % _index_doc_kwargs)
- def get_value(self, series: ABCSeries, key: Any) -> Any:
-
- if com.is_bool_indexer(key):
- loc = key
- elif is_list_like(key):
- if self.is_overlapping:
- loc, missing = self.get_indexer_non_unique(key)
- if len(missing):
- raise KeyError
- else:
- loc = self.get_indexer(key)
- elif isinstance(key, slice):
- if not (key.step is None or key.step == 1):
- raise ValueError("cannot support not-default step in a slice")
- loc = self._convert_slice_indexer(key, kind="getitem")
- else:
- loc = self.get_loc(key)
+ def get_value(self, series: "Series", key):
+ loc = self.get_loc(key)
return series.iloc[loc]
+ def _convert_slice_indexer(self, key: slice, kind=None):
+ if not (key.step is None or key.step == 1):
+ raise ValueError("cannot support not-default step in a slice")
+ return super()._convert_slice_indexer(key, kind)
+
@Appender(_index_shared_docs["where"])
def where(self, cond, other=None):
if other is None:
diff --git a/pandas/core/series.py b/pandas/core/series.py
index ffe0642f799fa..2f861f1e0ec64 100644
--- a/pandas/core/series.py
+++ b/pandas/core/series.py
@@ -75,6 +75,7 @@
from pandas.core.indexes.api import (
Float64Index,
Index,
+ IntervalIndex,
InvalidIndexError,
MultiIndex,
ensure_index,
@@ -872,6 +873,9 @@ def _get_with(self, key):
if key_type == "integer":
if self.index.is_integer() or self.index.is_floating():
return self.loc[key]
+ elif isinstance(self.index, IntervalIndex):
+ indexer = self.index.get_indexer_for(key)
+ return self.iloc[indexer]
else:
return self._get_values(key)
elif key_type == "boolean":
| cc @jschendel the casting of tuple->Interval on L819-820 seems sketchy, can you confirm if thats appropriate?
I'm also curious about the restriction on slice steps in _convert_slice_indexer, would be nice to have a comment there about why that is.
xref #31117. | https://api.github.com/repos/pandas-dev/pandas/pulls/31169 | 2020-01-21T01:38:58Z | 2020-01-24T00:52:00Z | 2020-01-24T00:52:00Z | 2020-01-24T00:54:01Z |
REF: simplify index.pyx | diff --git a/pandas/_libs/index.pyx b/pandas/_libs/index.pyx
index e4ec9db560b80..2dfc14378baf6 100644
--- a/pandas/_libs/index.pyx
+++ b/pandas/_libs/index.pyx
@@ -26,19 +26,13 @@ from pandas._libs import algos, hashtable as _hash
from pandas._libs.tslibs import Timestamp, Timedelta, period as periodlib
from pandas._libs.missing import checknull
-cdef int64_t NPY_NAT = util.get_nat()
-
cdef inline bint is_definitely_invalid_key(object val):
- if isinstance(val, tuple):
- try:
- hash(val)
- except TypeError:
- return True
-
- # we have a _data, means we are a NDFrame
- return (isinstance(val, slice) or util.is_array(val)
- or isinstance(val, list) or hasattr(val, '_data'))
+ try:
+ hash(val)
+ except TypeError:
+ return True
+ return False
cpdef get_value_at(ndarray arr, object loc, object tz=None):
@@ -168,6 +162,15 @@ cdef class IndexEngine:
int count
indexer = self._get_index_values() == val
+ return self._unpack_bool_indexer(indexer, val)
+
+ cdef _unpack_bool_indexer(self,
+ ndarray[uint8_t, ndim=1, cast=True] indexer,
+ object val):
+ cdef:
+ ndarray[intp_t, ndim=1] found
+ int count
+
found = np.where(indexer)[0]
count = len(found)
@@ -446,7 +449,7 @@ cdef class DatetimeEngine(Int64Engine):
cdef:
int64_t loc
if is_definitely_invalid_key(val):
- raise TypeError
+ raise TypeError(f"'{val}' is an invalid key")
try:
conv = self._unbox_scalar(val)
@@ -651,7 +654,10 @@ cdef class BaseMultiIndexCodesEngine:
# integers representing labels: we will use its get_loc and get_indexer
self._base.__init__(self, lambda: lab_ints, len(lab_ints))
- def _extract_level_codes(self, object target, object method=None):
+ def _codes_to_ints(self, codes):
+ raise NotImplementedError("Implemented by subclass")
+
+ def _extract_level_codes(self, object target):
"""
Map the requested list of (tuple) keys to their integer representations
for searching in the underlying integer index.
diff --git a/pandas/_libs/index_class_helper.pxi.in b/pandas/_libs/index_class_helper.pxi.in
index cd2b9fbe7d6d6..c7b67667bda17 100644
--- a/pandas/_libs/index_class_helper.pxi.in
+++ b/pandas/_libs/index_class_helper.pxi.in
@@ -10,24 +10,26 @@ WARNING: DO NOT edit .pxi FILE directly, .pxi is generated from .pxi.in
{{py:
-# name, dtype, ctype, hashtable_name, hashtable_dtype
-dtypes = [('Float64', 'float64', 'float64_t', 'Float64', 'float64'),
- ('Float32', 'float32', 'float32_t', 'Float64', 'float64'),
- ('Int64', 'int64', 'int64_t', 'Int64', 'int64'),
- ('Int32', 'int32', 'int32_t', 'Int64', 'int64'),
- ('Int16', 'int16', 'int16_t', 'Int64', 'int64'),
- ('Int8', 'int8', 'int8_t', 'Int64', 'int64'),
- ('UInt64', 'uint64', 'uint64_t', 'UInt64', 'uint64'),
- ('UInt32', 'uint32', 'uint32_t', 'UInt64', 'uint64'),
- ('UInt16', 'uint16', 'uint16_t', 'UInt64', 'uint64'),
- ('UInt8', 'uint8', 'uint8_t', 'UInt64', 'uint64'),
+# name, dtype, hashtable_name
+dtypes = [('Float64', 'float64', 'Float64'),
+ ('Float32', 'float32', 'Float64'),
+ ('Int64', 'int64', 'Int64'),
+ ('Int32', 'int32', 'Int64'),
+ ('Int16', 'int16', 'Int64'),
+ ('Int8', 'int8', 'Int64'),
+ ('UInt64', 'uint64', 'UInt64'),
+ ('UInt32', 'uint32', 'UInt64'),
+ ('UInt16', 'uint16', 'UInt64'),
+ ('UInt8', 'uint8', 'UInt64'),
]
}}
-{{for name, dtype, ctype, hashtable_name, hashtable_dtype in dtypes}}
+{{for name, dtype, hashtable_name in dtypes}}
cdef class {{name}}Engine(IndexEngine):
+ # constructor-caller is responsible for ensuring that vgetter()
+ # returns an ndarray with dtype {{dtype}}_t
cdef _make_hash_table(self, Py_ssize_t n):
return _hash.{{hashtable_name}}HashTable(n)
@@ -41,22 +43,18 @@ cdef class {{name}}Engine(IndexEngine):
cdef void _call_map_locations(self, values):
# self.mapping is of type {{hashtable_name}}HashTable,
# so convert dtype of values
- self.mapping.map_locations(algos.ensure_{{hashtable_dtype}}(values))
-
- cdef _get_index_values(self):
- return algos.ensure_{{dtype}}(self.vgetter())
+ self.mapping.map_locations(algos.ensure_{{hashtable_name.lower()}}(values))
cdef _maybe_get_bool_indexer(self, object val):
cdef:
ndarray[uint8_t, ndim=1, cast=True] indexer
ndarray[intp_t, ndim=1] found
- ndarray[{{ctype}}] values
+ ndarray[{{dtype}}_t, ndim=1] values
int count = 0
self._check_type(val)
- # A view is needed for some subclasses, such as PeriodEngine:
- values = self._get_index_values().view('{{dtype}}')
+ values = self._get_index_values()
try:
with warnings.catch_warnings():
# e.g. if values is float64 and `val` is a str, suppress warning
@@ -67,14 +65,6 @@ cdef class {{name}}Engine(IndexEngine):
# when trying to cast it to ndarray
raise KeyError(val)
- found = np.where(indexer)[0]
- count = len(found)
-
- if count > 1:
- return indexer
- if count == 1:
- return int(found[0])
-
- raise KeyError(val)
+ return self._unpack_bool_indexer(indexer, val)
{{endfor}}
| simplification of is_definitely_invalid_key is made possible by the recent change to make EA non-hashable. | https://api.github.com/repos/pandas-dev/pandas/pulls/31168 | 2020-01-21T00:51:02Z | 2020-01-24T04:02:48Z | 2020-01-24T04:02:48Z | 2020-01-24T04:27:23Z |
DOC: fix DataFrame.plot docs | diff --git a/pandas/plotting/_core.py b/pandas/plotting/_core.py
index dd907457f7c32..c239f11d5c6a1 100644
--- a/pandas/plotting/_core.py
+++ b/pandas/plotting/_core.py
@@ -374,7 +374,6 @@ def hist_frame(
<class 'numpy.ndarray'>
"""
-
_backend_doc = """\
backend : str, default None
Backend to use instead of the backend specified in the option
@@ -847,6 +846,8 @@ def __call__(self, *args, **kwargs):
return plot_backend.plot(data, kind=kind, **kwargs)
+ __call__.__doc__ = __doc__
+
def line(self, x=None, y=None, **kwargs):
"""
Plot Series or DataFrame as lines.
| - [x] fixes #29489
- [ ] tests added / passed
- [x] passes `black pandas`
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [ ] whatsnew entry
| https://api.github.com/repos/pandas-dev/pandas/pulls/31167 | 2020-01-21T00:27:07Z | 2020-01-23T12:35:16Z | 2020-01-23T12:35:15Z | 2020-01-26T15:55:17Z |
Backport PR #29836 on branch 1.0.x (ENH: XLSB support) | diff --git a/ci/deps/azure-37-locale.yaml b/ci/deps/azure-37-locale.yaml
index 111ba6b020bc7..dc51597a33209 100644
--- a/ci/deps/azure-37-locale.yaml
+++ b/ci/deps/azure-37-locale.yaml
@@ -34,3 +34,6 @@ dependencies:
- xlsxwriter
- xlwt
- pyarrow>=0.15
+ - pip
+ - pip:
+ - pyxlsb
diff --git a/ci/deps/azure-macos-36.yaml b/ci/deps/azure-macos-36.yaml
index 3bbbdb4cf32ad..90980133b31c1 100644
--- a/ci/deps/azure-macos-36.yaml
+++ b/ci/deps/azure-macos-36.yaml
@@ -33,3 +33,4 @@ dependencies:
- pip
- pip:
- pyreadstat
+ - pyxlsb
diff --git a/ci/deps/azure-windows-37.yaml b/ci/deps/azure-windows-37.yaml
index 62be1075b3337..6b3ad6f560292 100644
--- a/ci/deps/azure-windows-37.yaml
+++ b/ci/deps/azure-windows-37.yaml
@@ -35,3 +35,6 @@ dependencies:
- xlsxwriter
- xlwt
- pyreadstat
+ - pip
+ - pip:
+ - pyxlsb
diff --git a/ci/deps/travis-36-cov.yaml b/ci/deps/travis-36-cov.yaml
index a46001c58d165..869d2ab683f0c 100644
--- a/ci/deps/travis-36-cov.yaml
+++ b/ci/deps/travis-36-cov.yaml
@@ -51,3 +51,4 @@ dependencies:
- coverage
- pandas-datareader
- python-dateutil
+ - pyxlsb
diff --git a/doc/source/getting_started/install.rst b/doc/source/getting_started/install.rst
index b3fd443e662a9..b5c512cdc8328 100644
--- a/doc/source/getting_started/install.rst
+++ b/doc/source/getting_started/install.rst
@@ -264,6 +264,7 @@ pyarrow 0.12.0 Parquet, ORC (requires 0.13.0), and
pymysql 0.7.11 MySQL engine for sqlalchemy
pyreadstat SPSS files (.sav) reading
pytables 3.4.2 HDF5 reading / writing
+pyxlsb 1.0.5 Reading for xlsb files
qtpy Clipboard I/O
s3fs 0.3.0 Amazon S3 access
tabulate 0.8.3 Printing in Markdown-friendly format (see `tabulate`_)
diff --git a/doc/source/user_guide/io.rst b/doc/source/user_guide/io.rst
index 55bbf6848820b..a8d84469fbf74 100644
--- a/doc/source/user_guide/io.rst
+++ b/doc/source/user_guide/io.rst
@@ -23,7 +23,7 @@ The pandas I/O API is a set of top level ``reader`` functions accessed like
text;`JSON <https://www.json.org/>`__;:ref:`read_json<io.json_reader>`;:ref:`to_json<io.json_writer>`
text;`HTML <https://en.wikipedia.org/wiki/HTML>`__;:ref:`read_html<io.read_html>`;:ref:`to_html<io.html>`
text; Local clipboard;:ref:`read_clipboard<io.clipboard>`;:ref:`to_clipboard<io.clipboard>`
- binary;`MS Excel <https://en.wikipedia.org/wiki/Microsoft_Excel>`__;:ref:`read_excel<io.excel_reader>`;:ref:`to_excel<io.excel_writer>`
+ ;`MS Excel <https://en.wikipedia.org/wiki/Microsoft_Excel>`__;:ref:`read_excel<io.excel_reader>`;:ref:`to_excel<io.excel_writer>`
binary;`OpenDocument <http://www.opendocumentformat.org>`__;:ref:`read_excel<io.ods>`;
binary;`HDF5 Format <https://support.hdfgroup.org/HDF5/whatishdf5.html>`__;:ref:`read_hdf<io.hdf5>`;:ref:`to_hdf<io.hdf5>`
binary;`Feather Format <https://github.com/wesm/feather>`__;:ref:`read_feather<io.feather>`;:ref:`to_feather<io.feather>`
@@ -2768,7 +2768,8 @@ Excel files
The :func:`~pandas.read_excel` method can read Excel 2003 (``.xls``)
files using the ``xlrd`` Python module. Excel 2007+ (``.xlsx``) files
-can be read using either ``xlrd`` or ``openpyxl``.
+can be read using either ``xlrd`` or ``openpyxl``. Binary Excel (``.xlsb``)
+files can be read using ``pyxlsb``.
The :meth:`~DataFrame.to_excel` instance method is used for
saving a ``DataFrame`` to Excel. Generally the semantics are
similar to working with :ref:`csv<io.read_csv_table>` data.
@@ -3229,6 +3230,30 @@ OpenDocument spreadsheets match what can be done for `Excel files`_ using
Currently pandas only supports *reading* OpenDocument spreadsheets. Writing
is not implemented.
+.. _io.xlsb:
+
+Binary Excel (.xlsb) files
+--------------------------
+
+.. versionadded:: 1.0.0
+
+The :func:`~pandas.read_excel` method can also read binary Excel files
+using the ``pyxlsb`` module. The semantics and features for reading
+binary Excel files mostly match what can be done for `Excel files`_ using
+``engine='pyxlsb'``. ``pyxlsb`` does not recognize datetime types
+in files and will return floats instead.
+
+.. code-block:: python
+
+ # Returns a DataFrame
+ pd.read_excel('path_to_file.xlsb', engine='pyxlsb')
+
+.. note::
+
+ Currently pandas only supports *reading* binary Excel files. Writing
+ is not implemented.
+
+
.. _io.clipboard:
Clipboard
diff --git a/doc/source/whatsnew/v1.0.0.rst b/doc/source/whatsnew/v1.0.0.rst
index 4d55ee1c1cfc2..aac5c7e02f681 100755
--- a/doc/source/whatsnew/v1.0.0.rst
+++ b/doc/source/whatsnew/v1.0.0.rst
@@ -215,7 +215,8 @@ Other enhancements
- :meth:`Styler.format` added the ``na_rep`` parameter to help format the missing values (:issue:`21527`, :issue:`28358`)
- Roundtripping DataFrames with nullable integer, string and period data types to parquet
(:meth:`~DataFrame.to_parquet` / :func:`read_parquet`) using the `'pyarrow'` engine
- now preserve those data types with pyarrow >= 0.16.0 (:issue:`20612`, :issue:`28371`).
+ now preserve those data types with pyarrow >= 1.0.0 (:issue:`20612`).
+- :func:`read_excel` now can read binary Excel (``.xlsb``) files by passing ``engine='pyxlsb'``. For more details and example usage, see the :ref:`Binary Excel files documentation <io.xlsb>`. Closes :issue:`8540`.
- The ``partition_cols`` argument in :meth:`DataFrame.to_parquet` now accepts a string (:issue:`27117`)
- :func:`pandas.read_json` now parses ``NaN``, ``Infinity`` and ``-Infinity`` (:issue:`12213`)
- :func:`to_parquet` now appropriately handles the ``schema`` argument for user defined schemas in the pyarrow engine. (:issue:`30270`)
diff --git a/pandas/compat/_optional.py b/pandas/compat/_optional.py
index 7aeb0327139f1..d561ab9a10548 100644
--- a/pandas/compat/_optional.py
+++ b/pandas/compat/_optional.py
@@ -19,6 +19,7 @@
"pyarrow": "0.13.0",
"pytables": "3.4.2",
"pytest": "5.0.1",
+ "pyxlsb": "1.0.5",
"s3fs": "0.3.0",
"scipy": "0.19.0",
"sqlalchemy": "1.1.4",
diff --git a/pandas/core/config_init.py b/pandas/core/config_init.py
index afdd8a01ee003..eb1587313910d 100644
--- a/pandas/core/config_init.py
+++ b/pandas/core/config_init.py
@@ -479,6 +479,7 @@ def use_inf_as_na_cb(key):
_xlsm_options = ["xlrd", "openpyxl"]
_xlsx_options = ["xlrd", "openpyxl"]
_ods_options = ["odf"]
+_xlsb_options = ["pyxlsb"]
with cf.config_prefix("io.excel.xls"):
@@ -515,6 +516,13 @@ def use_inf_as_na_cb(key):
validator=str,
)
+with cf.config_prefix("io.excel.xlsb"):
+ cf.register_option(
+ "reader",
+ "auto",
+ reader_engine_doc.format(ext="xlsb", others=", ".join(_xlsb_options)),
+ validator=str,
+ )
# Set up the io.excel specific writer configuration.
writer_engine_doc = """
diff --git a/pandas/io/excel/_base.py b/pandas/io/excel/_base.py
index 04015a08bce2f..2a91381b7fbeb 100644
--- a/pandas/io/excel/_base.py
+++ b/pandas/io/excel/_base.py
@@ -35,8 +35,9 @@
"""
Read an Excel file into a pandas DataFrame.
-Support both `xls` and `xlsx` file extensions from a local filesystem or URL.
-Support an option to read a single sheet or a list of sheets.
+Supports `xls`, `xlsx`, `xlsm`, `xlsb`, and `odf` file extensions
+read from a local filesystem or URL. Supports an option to read
+a single sheet or a list of sheets.
Parameters
----------
@@ -789,15 +790,21 @@ class ExcelFile:
If a string or path object, expected to be a path to xls, xlsx or odf file.
engine : str, default None
If io is not a buffer or path, this must be set to identify io.
- Acceptable values are None, ``xlrd``, ``openpyxl`` or ``odf``.
+ Acceptable values are None, ``xlrd``, ``openpyxl``, ``odf``, or ``pyxlsb``.
Note that ``odf`` reads tables out of OpenDocument formatted files.
"""
from pandas.io.excel._odfreader import _ODFReader
from pandas.io.excel._openpyxl import _OpenpyxlReader
from pandas.io.excel._xlrd import _XlrdReader
-
- _engines = {"xlrd": _XlrdReader, "openpyxl": _OpenpyxlReader, "odf": _ODFReader}
+ from pandas.io.excel._pyxlsb import _PyxlsbReader
+
+ _engines = {
+ "xlrd": _XlrdReader,
+ "openpyxl": _OpenpyxlReader,
+ "odf": _ODFReader,
+ "pyxlsb": _PyxlsbReader,
+ }
def __init__(self, io, engine=None):
if engine is None:
diff --git a/pandas/io/excel/_pyxlsb.py b/pandas/io/excel/_pyxlsb.py
new file mode 100644
index 0000000000000..df6a38000452d
--- /dev/null
+++ b/pandas/io/excel/_pyxlsb.py
@@ -0,0 +1,68 @@
+from typing import List
+
+from pandas._typing import FilePathOrBuffer, Scalar
+from pandas.compat._optional import import_optional_dependency
+
+from pandas.io.excel._base import _BaseExcelReader
+
+
+class _PyxlsbReader(_BaseExcelReader):
+ def __init__(self, filepath_or_buffer: FilePathOrBuffer):
+ """Reader using pyxlsb engine.
+
+ Parameters
+ __________
+ filepath_or_buffer: string, path object, or Workbook
+ Object to be parsed.
+ """
+ import_optional_dependency("pyxlsb")
+ # This will call load_workbook on the filepath or buffer
+ # And set the result to the book-attribute
+ super().__init__(filepath_or_buffer)
+
+ @property
+ def _workbook_class(self):
+ from pyxlsb import Workbook
+
+ return Workbook
+
+ def load_workbook(self, filepath_or_buffer: FilePathOrBuffer):
+ from pyxlsb import open_workbook
+
+ # Todo: hack in buffer capability
+ # This might need some modifications to the Pyxlsb library
+ # Actual work for opening it is in xlsbpackage.py, line 20-ish
+
+ return open_workbook(filepath_or_buffer)
+
+ @property
+ def sheet_names(self) -> List[str]:
+ return self.book.sheets
+
+ def get_sheet_by_name(self, name: str):
+ return self.book.get_sheet(name)
+
+ def get_sheet_by_index(self, index: int):
+ # pyxlsb sheets are indexed from 1 onwards
+ # There's a fix for this in the source, but the pypi package doesn't have it
+ return self.book.get_sheet(index + 1)
+
+ def _convert_cell(self, cell, convert_float: bool) -> Scalar:
+ # Todo: there is no way to distinguish between floats and datetimes in pyxlsb
+ # This means that there is no way to read datetime types from an xlsb file yet
+ if cell.v is None:
+ return "" # Prevents non-named columns from not showing up as Unnamed: i
+ if isinstance(cell.v, float) and convert_float:
+ val = int(cell.v)
+ if val == cell.v:
+ return val
+ else:
+ return float(cell.v)
+
+ return cell.v
+
+ def get_sheet_data(self, sheet, convert_float: bool) -> List[List[Scalar]]:
+ return [
+ [self._convert_cell(c, convert_float) for c in r]
+ for r in sheet.rows(sparse=False)
+ ]
diff --git a/pandas/tests/io/data/excel/blank.xlsb b/pandas/tests/io/data/excel/blank.xlsb
new file mode 100644
index 0000000000000..d72fd68ab3dbf
Binary files /dev/null and b/pandas/tests/io/data/excel/blank.xlsb differ
diff --git a/pandas/tests/io/data/excel/blank_with_header.xlsb b/pandas/tests/io/data/excel/blank_with_header.xlsb
new file mode 100644
index 0000000000000..3c241513d221a
Binary files /dev/null and b/pandas/tests/io/data/excel/blank_with_header.xlsb differ
diff --git a/pandas/tests/io/data/excel/test1.xlsb b/pandas/tests/io/data/excel/test1.xlsb
new file mode 100644
index 0000000000000..d0b8a1f2735bd
Binary files /dev/null and b/pandas/tests/io/data/excel/test1.xlsb differ
diff --git a/pandas/tests/io/data/excel/test2.xlsb b/pandas/tests/io/data/excel/test2.xlsb
new file mode 100644
index 0000000000000..e19a0f1e067c8
Binary files /dev/null and b/pandas/tests/io/data/excel/test2.xlsb differ
diff --git a/pandas/tests/io/data/excel/test3.xlsb b/pandas/tests/io/data/excel/test3.xlsb
new file mode 100644
index 0000000000000..617d27630e8a0
Binary files /dev/null and b/pandas/tests/io/data/excel/test3.xlsb differ
diff --git a/pandas/tests/io/data/excel/test4.xlsb b/pandas/tests/io/data/excel/test4.xlsb
new file mode 100644
index 0000000000000..2e5bb229939be
Binary files /dev/null and b/pandas/tests/io/data/excel/test4.xlsb differ
diff --git a/pandas/tests/io/data/excel/test5.xlsb b/pandas/tests/io/data/excel/test5.xlsb
new file mode 100644
index 0000000000000..022ebef25aee2
Binary files /dev/null and b/pandas/tests/io/data/excel/test5.xlsb differ
diff --git a/pandas/tests/io/data/excel/test_converters.xlsb b/pandas/tests/io/data/excel/test_converters.xlsb
new file mode 100644
index 0000000000000..c39c33d8dd94f
Binary files /dev/null and b/pandas/tests/io/data/excel/test_converters.xlsb differ
diff --git a/pandas/tests/io/data/excel/test_index_name_pre17.xlsb b/pandas/tests/io/data/excel/test_index_name_pre17.xlsb
new file mode 100644
index 0000000000000..5251b8f3b3194
Binary files /dev/null and b/pandas/tests/io/data/excel/test_index_name_pre17.xlsb differ
diff --git a/pandas/tests/io/data/excel/test_multisheet.xlsb b/pandas/tests/io/data/excel/test_multisheet.xlsb
new file mode 100644
index 0000000000000..39b15568a7121
Binary files /dev/null and b/pandas/tests/io/data/excel/test_multisheet.xlsb differ
diff --git a/pandas/tests/io/data/excel/test_squeeze.xlsb b/pandas/tests/io/data/excel/test_squeeze.xlsb
new file mode 100644
index 0000000000000..6aadd727e957b
Binary files /dev/null and b/pandas/tests/io/data/excel/test_squeeze.xlsb differ
diff --git a/pandas/tests/io/data/excel/test_types.xlsb b/pandas/tests/io/data/excel/test_types.xlsb
new file mode 100644
index 0000000000000..e7403aa288263
Binary files /dev/null and b/pandas/tests/io/data/excel/test_types.xlsb differ
diff --git a/pandas/tests/io/data/excel/testdateoverflow.xlsb b/pandas/tests/io/data/excel/testdateoverflow.xlsb
new file mode 100644
index 0000000000000..3d279396924b9
Binary files /dev/null and b/pandas/tests/io/data/excel/testdateoverflow.xlsb differ
diff --git a/pandas/tests/io/data/excel/testdtype.xlsb b/pandas/tests/io/data/excel/testdtype.xlsb
new file mode 100644
index 0000000000000..1c1d45f0d783b
Binary files /dev/null and b/pandas/tests/io/data/excel/testdtype.xlsb differ
diff --git a/pandas/tests/io/data/excel/testmultiindex.xlsb b/pandas/tests/io/data/excel/testmultiindex.xlsb
new file mode 100644
index 0000000000000..b66d6dab17ee0
Binary files /dev/null and b/pandas/tests/io/data/excel/testmultiindex.xlsb differ
diff --git a/pandas/tests/io/data/excel/testskiprows.xlsb b/pandas/tests/io/data/excel/testskiprows.xlsb
new file mode 100644
index 0000000000000..a5ff4ed22e70c
Binary files /dev/null and b/pandas/tests/io/data/excel/testskiprows.xlsb differ
diff --git a/pandas/tests/io/data/excel/times_1900.xlsb b/pandas/tests/io/data/excel/times_1900.xlsb
new file mode 100644
index 0000000000000..ceb7bccb0c66e
Binary files /dev/null and b/pandas/tests/io/data/excel/times_1900.xlsb differ
diff --git a/pandas/tests/io/data/excel/times_1904.xlsb b/pandas/tests/io/data/excel/times_1904.xlsb
new file mode 100644
index 0000000000000..e426dc959da49
Binary files /dev/null and b/pandas/tests/io/data/excel/times_1904.xlsb differ
diff --git a/pandas/tests/io/excel/conftest.py b/pandas/tests/io/excel/conftest.py
index a257735dc1ec5..0455e0d61ad97 100644
--- a/pandas/tests/io/excel/conftest.py
+++ b/pandas/tests/io/excel/conftest.py
@@ -35,7 +35,7 @@ def df_ref(datapath):
return df_ref
-@pytest.fixture(params=[".xls", ".xlsx", ".xlsm", ".ods"])
+@pytest.fixture(params=[".xls", ".xlsx", ".xlsm", ".ods", ".xlsb"])
def read_ext(request):
"""
Valid extensions for reading Excel files.
diff --git a/pandas/tests/io/excel/test_readers.py b/pandas/tests/io/excel/test_readers.py
index 629d3d02028bd..f8ff3567b8b64 100644
--- a/pandas/tests/io/excel/test_readers.py
+++ b/pandas/tests/io/excel/test_readers.py
@@ -31,7 +31,7 @@ def ignore_xlrd_time_clock_warning():
yield
-read_ext_params = [".xls", ".xlsx", ".xlsm", ".ods"]
+read_ext_params = [".xls", ".xlsx", ".xlsm", ".xlsb", ".ods"]
engine_params = [
# Add any engines to test here
# When defusedxml is installed it triggers deprecation warnings for
@@ -57,6 +57,7 @@ def ignore_xlrd_time_clock_warning():
pytest.mark.filterwarnings("ignore:.*(tree\\.iter|html argument)"),
],
),
+ pytest.param("pyxlsb", marks=td.skip_if_no("pyxlsb")),
pytest.param("odf", marks=td.skip_if_no("odf")),
]
@@ -73,6 +74,10 @@ def _is_valid_engine_ext_pair(engine, read_ext: str) -> bool:
return False
if read_ext == ".ods" and engine != "odf":
return False
+ if engine == "pyxlsb" and read_ext != ".xlsb":
+ return False
+ if read_ext == ".xlsb" and engine != "pyxlsb":
+ return False
return True
@@ -120,7 +125,6 @@ def cd_and_set_engine(self, engine, datapath, monkeypatch):
"""
Change directory and set engine for read_excel calls.
"""
-
func = partial(pd.read_excel, engine=engine)
monkeypatch.chdir(datapath("io", "data", "excel"))
monkeypatch.setattr(pd, "read_excel", func)
@@ -142,6 +146,8 @@ def test_usecols_int(self, read_ext, df_ref):
)
def test_usecols_list(self, read_ext, df_ref):
+ if pd.read_excel.keywords["engine"] == "pyxlsb":
+ pytest.xfail("Sheets containing datetimes not supported by pyxlsb")
df_ref = df_ref.reindex(columns=["B", "C"])
df1 = pd.read_excel(
@@ -156,6 +162,8 @@ def test_usecols_list(self, read_ext, df_ref):
tm.assert_frame_equal(df2, df_ref, check_names=False)
def test_usecols_str(self, read_ext, df_ref):
+ if pd.read_excel.keywords["engine"] == "pyxlsb":
+ pytest.xfail("Sheets containing datetimes not supported by pyxlsb")
df1 = df_ref.reindex(columns=["A", "B", "C"])
df2 = pd.read_excel("test1" + read_ext, "Sheet1", index_col=0, usecols="A:D")
@@ -188,6 +196,9 @@ def test_usecols_str(self, read_ext, df_ref):
"usecols", [[0, 1, 3], [0, 3, 1], [1, 0, 3], [1, 3, 0], [3, 0, 1], [3, 1, 0]]
)
def test_usecols_diff_positional_int_columns_order(self, read_ext, usecols, df_ref):
+ if pd.read_excel.keywords["engine"] == "pyxlsb":
+ pytest.xfail("Sheets containing datetimes not supported by pyxlsb")
+
expected = df_ref[["A", "C"]]
result = pd.read_excel(
"test1" + read_ext, "Sheet1", index_col=0, usecols=usecols
@@ -203,11 +214,17 @@ def test_usecols_diff_positional_str_columns_order(self, read_ext, usecols, df_r
tm.assert_frame_equal(result, expected, check_names=False)
def test_read_excel_without_slicing(self, read_ext, df_ref):
+ if pd.read_excel.keywords["engine"] == "pyxlsb":
+ pytest.xfail("Sheets containing datetimes not supported by pyxlsb")
+
expected = df_ref
result = pd.read_excel("test1" + read_ext, "Sheet1", index_col=0)
tm.assert_frame_equal(result, expected, check_names=False)
def test_usecols_excel_range_str(self, read_ext, df_ref):
+ if pd.read_excel.keywords["engine"] == "pyxlsb":
+ pytest.xfail("Sheets containing datetimes not supported by pyxlsb")
+
expected = df_ref[["C", "D"]]
result = pd.read_excel(
"test1" + read_ext, "Sheet1", index_col=0, usecols="A,D:E"
@@ -274,12 +291,16 @@ def test_excel_stop_iterator(self, read_ext):
tm.assert_frame_equal(parsed, expected)
def test_excel_cell_error_na(self, read_ext):
+ if pd.read_excel.keywords["engine"] == "pyxlsb":
+ pytest.xfail("Sheets containing datetimes not supported by pyxlsb")
parsed = pd.read_excel("test3" + read_ext, "Sheet1")
expected = DataFrame([[np.nan]], columns=["Test"])
tm.assert_frame_equal(parsed, expected)
def test_excel_table(self, read_ext, df_ref):
+ if pd.read_excel.keywords["engine"] == "pyxlsb":
+ pytest.xfail("Sheets containing datetimes not supported by pyxlsb")
df1 = pd.read_excel("test1" + read_ext, "Sheet1", index_col=0)
df2 = pd.read_excel("test1" + read_ext, "Sheet2", skiprows=[1], index_col=0)
@@ -291,6 +312,8 @@ def test_excel_table(self, read_ext, df_ref):
tm.assert_frame_equal(df3, df1.iloc[:-1])
def test_reader_special_dtypes(self, read_ext):
+ if pd.read_excel.keywords["engine"] == "pyxlsb":
+ pytest.xfail("Sheets containing datetimes not supported by pyxlsb")
expected = DataFrame.from_dict(
OrderedDict(
@@ -488,6 +511,9 @@ def test_read_excel_blank_with_header(self, read_ext):
def test_date_conversion_overflow(self, read_ext):
# GH 10001 : pandas.ExcelFile ignore parse_dates=False
+ if pd.read_excel.keywords["engine"] == "pyxlsb":
+ pytest.xfail("Sheets containing datetimes not supported by pyxlsb")
+
expected = pd.DataFrame(
[
[pd.Timestamp("2016-03-12"), "Marc Johnson"],
@@ -504,9 +530,14 @@ def test_date_conversion_overflow(self, read_ext):
tm.assert_frame_equal(result, expected)
def test_sheet_name(self, read_ext, df_ref):
+ if pd.read_excel.keywords["engine"] == "pyxlsb":
+ pytest.xfail("Sheets containing datetimes not supported by pyxlsb")
filename = "test1"
sheet_name = "Sheet1"
+ if pd.read_excel.keywords["engine"] == "openpyxl":
+ pytest.xfail("Maybe not supported by openpyxl")
+
df1 = pd.read_excel(
filename + read_ext, sheet_name=sheet_name, index_col=0
) # doc
@@ -531,6 +562,10 @@ def test_bad_engine_raises(self, read_ext):
@tm.network
def test_read_from_http_url(self, read_ext):
+ if read_ext == ".xlsb":
+ pytest.xfail("xlsb files not present in master repo yet")
+ if pd.read_excel.keywords["engine"] == "pyxlsb":
+ pytest.xfail("Sheets containing datetimes not supported by pyxlsb")
url = (
"https://raw.githubusercontent.com/pandas-dev/pandas/master/"
@@ -599,6 +634,8 @@ def test_read_from_py_localpath(self, read_ext):
tm.assert_frame_equal(expected, actual)
def test_reader_seconds(self, read_ext):
+ if pd.read_excel.keywords["engine"] == "pyxlsb":
+ pytest.xfail("Sheets containing datetimes not supported by pyxlsb")
# Test reading times with and without milliseconds. GH5945.
expected = DataFrame.from_dict(
@@ -627,6 +664,9 @@ def test_reader_seconds(self, read_ext):
def test_read_excel_multiindex(self, read_ext):
# see gh-4679
+ if pd.read_excel.keywords["engine"] == "pyxlsb":
+ pytest.xfail("Sheets containing datetimes not supported by pyxlsb")
+
mi = MultiIndex.from_product([["foo", "bar"], ["a", "b"]])
mi_file = "testmultiindex" + read_ext
@@ -786,6 +826,9 @@ def test_read_excel_chunksize(self, read_ext):
def test_read_excel_skiprows_list(self, read_ext):
# GH 4903
+ if pd.read_excel.keywords["engine"] == "pyxlsb":
+ pytest.xfail("Sheets containing datetimes not supported by pyxlsb")
+
actual = pd.read_excel(
"testskiprows" + read_ext, "skiprows_list", skiprows=[0, 2]
)
@@ -851,13 +894,11 @@ def cd_and_set_engine(self, engine, datapath, monkeypatch):
"""
Change directory and set engine for ExcelFile objects.
"""
-
func = partial(pd.ExcelFile, engine=engine)
monkeypatch.chdir(datapath("io", "data", "excel"))
monkeypatch.setattr(pd, "ExcelFile", func)
def test_excel_passes_na(self, read_ext):
-
with pd.ExcelFile("test4" + read_ext) as excel:
parsed = pd.read_excel(
excel, "Sheet1", keep_default_na=False, na_values=["apple"]
@@ -928,6 +969,10 @@ def test_unexpected_kwargs_raises(self, read_ext, arg):
pd.read_excel(excel, **kwarg)
def test_excel_table_sheet_by_index(self, read_ext, df_ref):
+ # For some reason pd.read_excel has no attribute 'keywords' here.
+ # Skipping based on read_ext instead.
+ if read_ext == ".xlsb":
+ pytest.xfail("Sheets containing datetimes not supported by pyxlsb")
with pd.ExcelFile("test1" + read_ext) as excel:
df1 = pd.read_excel(excel, 0, index_col=0)
@@ -951,6 +996,11 @@ def test_excel_table_sheet_by_index(self, read_ext, df_ref):
tm.assert_frame_equal(df3, df1.iloc[:-1])
def test_sheet_name(self, read_ext, df_ref):
+ # For some reason pd.read_excel has no attribute 'keywords' here.
+ # Skipping based on read_ext instead.
+ if read_ext == ".xlsb":
+ pytest.xfail("Sheets containing datetimes not supported by pyxlsb")
+
filename = "test1"
sheet_name = "Sheet1"
diff --git a/pandas/tests/io/excel/test_xlrd.py b/pandas/tests/io/excel/test_xlrd.py
index d1f900a2dc58b..cc7e2311f362a 100644
--- a/pandas/tests/io/excel/test_xlrd.py
+++ b/pandas/tests/io/excel/test_xlrd.py
@@ -10,9 +10,11 @@
@pytest.fixture(autouse=True)
-def skip_ods_files(read_ext):
+def skip_ods_and_xlsb_files(read_ext):
if read_ext == ".ods":
pytest.skip("Not valid for xlrd")
+ if read_ext == ".xlsb":
+ pytest.skip("Not valid for xlrd")
def test_read_xlrd_book(read_ext, frame):
| Backport PR #29836: ENH: XLSB support | https://api.github.com/repos/pandas-dev/pandas/pulls/31166 | 2020-01-20T23:49:24Z | 2020-01-21T10:13:28Z | 2020-01-21T10:13:28Z | 2020-01-21T10:13:28Z |
TST: Replaced try-catch blocks with pytest.raises | diff --git a/pandas/tests/test_errors.py b/pandas/tests/test_errors.py
index 939ea8a64d94d..d72c00ceb0045 100644
--- a/pandas/tests/test_errors.py
+++ b/pandas/tests/test_errors.py
@@ -36,10 +36,9 @@ def test_exception_importable(exc):
def test_catch_oob():
from pandas import errors
- try:
+ msg = "Out of bounds nanosecond timestamp: 1500-01-01 00:00:00"
+ with pytest.raises(errors.OutOfBoundsDatetime, match=msg):
pd.Timestamp("15000101")
- except errors.OutOfBoundsDatetime:
- pass
class Foo:
diff --git a/pandas/tests/util/test_assert_frame_equal.py b/pandas/tests/util/test_assert_frame_equal.py
index 23c845f2b2795..3090343ba2fd9 100644
--- a/pandas/tests/util/test_assert_frame_equal.py
+++ b/pandas/tests/util/test_assert_frame_equal.py
@@ -46,13 +46,9 @@ def _assert_not_frame_equal(a, b, **kwargs):
kwargs : dict
The arguments passed to `tm.assert_frame_equal`.
"""
- try:
+ msg = "The two DataFrames were equal when they shouldn't have been"
+ with pytest.raises(AssertionError, match=msg):
tm.assert_frame_equal(a, b, **kwargs)
- msg = "The two DataFrames were equal when they shouldn't have been"
-
- pytest.fail(msg=msg)
- except AssertionError:
- pass
def _assert_not_frame_equal_both(a, b, **kwargs):
| - [x] tests added / passed
- [x] passes `black pandas`
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
| https://api.github.com/repos/pandas-dev/pandas/pulls/31165 | 2020-01-20T22:50:55Z | 2020-01-23T08:11:37Z | 2020-01-23T08:11:37Z | 2020-01-24T12:19:25Z |
Backport PR #31133 on branch 1.0.x (BUG: Break reference from grouping level to MI) | diff --git a/pandas/core/indexes/multi.py b/pandas/core/indexes/multi.py
index 84d7399cc4f2d..ed99c4eb46e48 100644
--- a/pandas/core/indexes/multi.py
+++ b/pandas/core/indexes/multi.py
@@ -1256,6 +1256,10 @@ def _get_grouper_for_level(self, mapper, level):
if len(uniques) < len(level_index):
# Remove unobserved levels from level_index
level_index = level_index.take(uniques)
+ else:
+ # break references back to us so that setting the name
+ # on the output of a groupby doesn't reflect back here.
+ level_index = level_index.copy()
if len(level_index):
grouper = level_index.take(codes)
diff --git a/pandas/tests/groupby/test_apply.py b/pandas/tests/groupby/test_apply.py
index 2f2f97f2cd993..10403bb148c94 100644
--- a/pandas/tests/groupby/test_apply.py
+++ b/pandas/tests/groupby/test_apply.py
@@ -752,3 +752,20 @@ def most_common_values(df):
["17661101"], index=pd.DatetimeIndex(["2015-02-24"], name="day"), name="userId"
)
tm.assert_series_equal(result, expected)
+
+
+@pytest.mark.parametrize("category", [False, True])
+def test_apply_multi_level_name(category):
+ # https://github.com/pandas-dev/pandas/issues/31068
+ b = [1, 2] * 5
+ if category:
+ b = pd.Categorical(b, categories=[1, 2, 3])
+ df = pd.DataFrame(
+ {"A": np.arange(10), "B": b, "C": list(range(10)), "D": list(range(10))}
+ ).set_index(["A", "B"])
+ result = df.groupby("B").apply(lambda x: x.sum())
+ expected = pd.DataFrame(
+ {"C": [20, 25], "D": [20, 25]}, index=pd.Index([1, 2], name="B")
+ )
+ tm.assert_frame_equal(result, expected)
+ assert df.index.names == ["A", "B"]
| Backport PR #31133: BUG: Break reference from grouping level to MI | https://api.github.com/repos/pandas-dev/pandas/pulls/31164 | 2020-01-20T22:25:45Z | 2020-01-20T23:59:03Z | 2020-01-20T23:59:03Z | 2020-01-20T23:59:04Z |
BUG: corner cases in DTI.get_value, Float64Index.get_value | diff --git a/pandas/core/indexes/datetimes.py b/pandas/core/indexes/datetimes.py
index ee9b948a76ac8..b1463f52333a1 100644
--- a/pandas/core/indexes/datetimes.py
+++ b/pandas/core/indexes/datetimes.py
@@ -18,7 +18,7 @@
from pandas.core.dtypes.common import _NS_DTYPE, is_float, is_integer, is_scalar
from pandas.core.dtypes.dtypes import DatetimeTZDtype
-from pandas.core.dtypes.missing import isna
+from pandas.core.dtypes.missing import is_valid_nat_for_dtype
from pandas.core.accessor import delegate_names
from pandas.core.arrays.datetimes import (
@@ -677,8 +677,8 @@ def get_loc(self, key, method=None, tolerance=None):
-------
loc : int
"""
- if is_scalar(key) and isna(key):
- key = NaT # FIXME: do this systematically
+ if is_valid_nat_for_dtype(key, self.dtype):
+ key = NaT
if tolerance is not None:
# try converting tolerance now, so errors don't get swallowed by
diff --git a/pandas/core/indexes/numeric.py b/pandas/core/indexes/numeric.py
index 465f21da1278a..14cb061aa012c 100644
--- a/pandas/core/indexes/numeric.py
+++ b/pandas/core/indexes/numeric.py
@@ -433,11 +433,7 @@ def get_value(self, series: "Series", key):
raise InvalidIndexError
loc = self.get_loc(key)
- if not is_scalar(loc):
- return series.iloc[loc]
-
- new_values = series._values[loc]
- return new_values
+ return self._get_values_for_loc(series, loc)
def equals(self, other) -> bool:
"""
diff --git a/pandas/tests/indexes/datetimes/test_indexing.py b/pandas/tests/indexes/datetimes/test_indexing.py
index f3c255d50aba1..26d99da42cd2b 100644
--- a/pandas/tests/indexes/datetimes/test_indexing.py
+++ b/pandas/tests/indexes/datetimes/test_indexing.py
@@ -773,3 +773,14 @@ def test_get_loc_nat(self):
# GH#20464
index = DatetimeIndex(["1/3/2000", "NaT"])
assert index.get_loc(pd.NaT) == 1
+
+ assert index.get_loc(None) == 1
+
+ assert index.get_loc(np.nan) == 1
+
+ assert index.get_loc(pd.NA) == 1
+
+ assert index.get_loc(np.datetime64("NaT")) == 1
+
+ with pytest.raises(KeyError, match="NaT"):
+ index.get_loc(np.timedelta64("NaT"))
diff --git a/pandas/tests/indexes/test_numeric.py b/pandas/tests/indexes/test_numeric.py
index 12cc51222e6bb..b83ceb1ce699c 100644
--- a/pandas/tests/indexes/test_numeric.py
+++ b/pandas/tests/indexes/test_numeric.py
@@ -393,6 +393,46 @@ def test_get_loc_missing_nan(self):
# listlike/non-hashable raises TypeError
idx.get_loc([np.nan])
+ @pytest.mark.parametrize(
+ "vals",
+ [
+ pd.date_range("2016-01-01", periods=3),
+ pd.timedelta_range("1 Day", periods=3),
+ ],
+ )
+ def test_lookups_datetimelike_values(self, vals):
+ # If we have datetime64 or timedelta64 values, make sure they are
+ # wrappped correctly
+ ser = pd.Series(vals, index=range(3, 6))
+ ser.index = ser.index.astype("float64")
+
+ expected = vals[1]
+
+ result = ser.index.get_value(ser, 4.0)
+ assert isinstance(result, type(expected)) and result == expected
+ result = ser.index.get_value(ser, 4)
+ assert isinstance(result, type(expected)) and result == expected
+
+ result = ser[4.0]
+ assert isinstance(result, type(expected)) and result == expected
+ result = ser[4]
+ assert isinstance(result, type(expected)) and result == expected
+
+ result = ser.loc[4.0]
+ assert isinstance(result, type(expected)) and result == expected
+ result = ser.loc[4]
+ assert isinstance(result, type(expected)) and result == expected
+
+ result = ser.at[4.0]
+ assert isinstance(result, type(expected)) and result == expected
+ # Note: ser.at[4] raises ValueError; TODO: should we make this match loc?
+
+ result = ser.iloc[1]
+ assert isinstance(result, type(expected)) and result == expected
+
+ result = ser.iat[1]
+ assert isinstance(result, type(expected)) and result == expected
+
def test_contains_nans(self):
i = Float64Index([1.0, 2.0, np.nan])
assert np.nan in i
| Series lookups are affected for the Float64Index case. | https://api.github.com/repos/pandas-dev/pandas/pulls/31163 | 2020-01-20T21:14:09Z | 2020-01-23T23:01:48Z | 2020-01-23T23:01:48Z | 2020-01-23T23:12:24Z |
CLN/STY: various code cleanups | diff --git a/pandas/core/computation/align.py b/pandas/core/computation/align.py
index a1b1cffdd1d76..e45d3ca66b6ec 100644
--- a/pandas/core/computation/align.py
+++ b/pandas/core/computation/align.py
@@ -1,4 +1,5 @@
-"""Core eval alignment algorithms
+"""
+Core eval alignment algorithms.
"""
from functools import partial, wraps
diff --git a/pandas/core/computation/eval.py b/pandas/core/computation/eval.py
index 71e1b6c2a08a9..4cdf4bac61316 100644
--- a/pandas/core/computation/eval.py
+++ b/pandas/core/computation/eval.py
@@ -1,5 +1,4 @@
#!/usr/bin/env python3
-
"""
Top level ``eval`` module.
"""
@@ -26,30 +25,29 @@ def _check_engine(engine: Optional[str]) -> str:
Parameters
----------
engine : str
+ String to validate.
Raises
------
KeyError
- * If an invalid engine is passed
+ * If an invalid engine is passed.
ImportError
- * If numexpr was requested but doesn't exist
+ * If numexpr was requested but doesn't exist.
Returns
-------
- string engine
+ str
+ Engine name.
"""
from pandas.core.computation.check import _NUMEXPR_INSTALLED
if engine is None:
- if _NUMEXPR_INSTALLED:
- engine = "numexpr"
- else:
- engine = "python"
+ engine = "numexpr" if _NUMEXPR_INSTALLED else "python"
if engine not in _engines:
- valid = list(_engines.keys())
+ valid_engines = list(_engines.keys())
raise KeyError(
- f"Invalid engine {repr(engine)} passed, valid engines are {valid}"
+ f"Invalid engine '{engine}' passed, valid engines are {valid_engines}"
)
# TODO: validate this in a more general way (thinking of future engines
@@ -58,10 +56,8 @@ def _check_engine(engine: Optional[str]) -> str:
if engine == "numexpr":
if not _NUMEXPR_INSTALLED:
raise ImportError(
- "'numexpr' is not installed or an "
- "unsupported version. Cannot use "
- "engine='numexpr' for query/eval "
- "if 'numexpr' is not installed"
+ "'numexpr' is not installed or an unsupported version. Cannot use "
+ "engine='numexpr' for query/eval if 'numexpr' is not installed"
)
return engine
@@ -80,11 +76,9 @@ def _check_parser(parser: str):
KeyError
* If an invalid parser is passed
"""
-
if parser not in _parsers:
raise KeyError(
- f"Invalid parser {repr(parser)} passed, "
- f"valid parsers are {_parsers.keys()}"
+ f"Invalid parser '{parser}' passed, valid parsers are {_parsers.keys()}"
)
@@ -94,8 +88,8 @@ def _check_resolvers(resolvers):
if not hasattr(resolver, "__getitem__"):
name = type(resolver).__name__
raise TypeError(
- f"Resolver of type {repr(name)} does not "
- f"implement the __getitem__ method"
+ f"Resolver of type '{name}' does not "
+ "implement the __getitem__ method"
)
@@ -155,10 +149,8 @@ def _check_for_locals(expr: str, stack_level: int, parser: str):
msg = "The '@' prefix is only supported by the pandas parser"
elif at_top_of_stack:
msg = (
- "The '@' prefix is not allowed in "
- "top-level eval calls, \nplease refer to "
- "your variables by name without the '@' "
- "prefix"
+ "The '@' prefix is not allowed in top-level eval calls.\n"
+ "please refer to your variables by name without the '@' prefix."
)
if at_top_of_stack or not_pandas_parser:
@@ -285,13 +277,14 @@ def eval(
See the :ref:`enhancing performance <enhancingperf.eval>` documentation for
more details.
"""
-
inplace = validate_bool_kwarg(inplace, "inplace")
if truediv is not no_default:
warnings.warn(
- "The `truediv` parameter in pd.eval is deprecated and will be "
- "removed in a future version.",
+ (
+ "The `truediv` parameter in pd.eval is deprecated and "
+ "will be removed in a future version."
+ ),
FutureWarning,
stacklevel=2,
)
diff --git a/pandas/core/computation/expressions.py b/pandas/core/computation/expressions.py
index 7e959889ee997..ada983e9e4fad 100644
--- a/pandas/core/computation/expressions.py
+++ b/pandas/core/computation/expressions.py
@@ -45,12 +45,9 @@ def set_use_numexpr(v=True):
# choose what we are going to do
global _evaluate, _where
- if not _USE_NUMEXPR:
- _evaluate = _evaluate_standard
- _where = _where_standard
- else:
- _evaluate = _evaluate_numexpr
- _where = _where_numexpr
+
+ _evaluate = _evaluate_numexpr if _USE_NUMEXPR else _evaluate_standard
+ _where = _where_numexpr if _USE_NUMEXPR else _where_standard
def set_numexpr_threads(n=None):
@@ -63,7 +60,9 @@ def set_numexpr_threads(n=None):
def _evaluate_standard(op, op_str, a, b):
- """ standard evaluation """
+ """
+ Standard evaluation.
+ """
if _TEST_MODE:
_store_test_result(False)
with np.errstate(all="ignore"):
@@ -176,7 +175,7 @@ def _bool_arith_check(
if op_str in unsupported:
warnings.warn(
f"evaluating in Python space because the {repr(op_str)} "
- f"operator is not supported by numexpr for "
+ "operator is not supported by numexpr for "
f"the bool dtype, use {repr(unsupported[op_str])} instead"
)
return False
@@ -202,7 +201,6 @@ def evaluate(op, op_str, a, b, use_numexpr=True):
use_numexpr : bool, default True
Whether to try to use numexpr.
"""
-
use_numexpr = use_numexpr and _bool_arith_check(op_str, a, b)
if use_numexpr:
return _evaluate(op, op_str, a, b)
@@ -221,10 +219,7 @@ def where(cond, a, b, use_numexpr=True):
use_numexpr : bool, default True
Whether to try to use numexpr.
"""
-
- if use_numexpr:
- return _where(cond, a, b)
- return _where_standard(cond, a, b)
+ return _where(cond, a, b) if use_numexpr else _where_standard(cond, a, b)
def set_test_mode(v=True):
diff --git a/pandas/core/frame.py b/pandas/core/frame.py
index fa9a951d6849c..4257083cc8dc5 100644
--- a/pandas/core/frame.py
+++ b/pandas/core/frame.py
@@ -8,6 +8,7 @@
alignment and a host of useful data manipulation methods having to do with the
labeling information
"""
+
import collections
from collections import abc
from io import StringIO
@@ -258,7 +259,6 @@
Examples
--------
-
>>> df1 = pd.DataFrame({'lkey': ['foo', 'bar', 'baz', 'foo'],
... 'value': [1, 2, 3, 5]})
>>> df2 = pd.DataFrame({'rkey': ['foo', 'bar', 'baz', 'foo'],
@@ -491,12 +491,12 @@ def __init__(
else:
try:
arr = np.array(data, dtype=dtype, copy=copy)
- except (ValueError, TypeError) as e:
+ except (ValueError, TypeError) as err:
exc = TypeError(
"DataFrame constructor called with "
- f"incompatible data and dtype: {e}"
+ f"incompatible data and dtype: {err}"
)
- raise exc from e
+ raise exc from err
if arr.ndim == 0 and index is not None and columns is not None:
values = cast_scalar_to_array(
@@ -794,7 +794,6 @@ def to_string(
1 2 5
2 3 6
"""
-
from pandas import option_context
with option_context("display.max_colwidth", max_colwidth):
@@ -1583,7 +1582,6 @@ def from_records(
-------
DataFrame
"""
-
# Make a copy of the input columns so we can modify it
if columns is not None:
columns = ensure_index(columns)
@@ -1764,7 +1762,6 @@ def to_records(
rec.array([(b'a', 1, 0.5 ), (b'b', 2, 0.75)],
dtype=[('I', 'S1'), ('A', '<i8'), ('B', '<f8')])
"""
-
if index:
if isinstance(self.index, ABCMultiIndex):
# array of tuples to numpy cols. copy copy copy
@@ -2185,7 +2182,6 @@ def to_html(
--------
to_string : Convert DataFrame to a string.
"""
-
if justify is not None and justify not in fmt._VALID_JUSTIFY_PARAMETERS:
raise ValueError("Invalid value for justify parameter")
@@ -2359,7 +2355,6 @@ def info(
dtypes: object(3)
memory usage: 188.8 MB
"""
-
if buf is None: # pragma: no cover
buf = sys.stdout
@@ -2985,7 +2980,6 @@ def _set_item(self, key, value):
Series/TimeSeries will be conformed to the DataFrames index to
ensure homogeneity.
"""
-
self._ensure_valid_index(value)
value = self._sanitize_column(key, value)
NDFrame._set_item(self, key, value)
@@ -3045,8 +3039,7 @@ def _ensure_valid_index(self, value):
except (ValueError, NotImplementedError, TypeError):
raise ValueError(
"Cannot set a frame with no defined index "
- "and a value that cannot be converted to a "
- "Series"
+ "and a value that cannot be converted to a Series"
)
self._data = self._data.reindex_axis(
@@ -3414,7 +3407,6 @@ def select_dtypes(self, include=None, exclude=None) -> "DataFrame":
4 True 1.0
5 False 2.0
"""
-
if not is_list_like(include):
include = (include,) if include is not None else ()
if not is_list_like(exclude):
@@ -3685,11 +3677,7 @@ def lookup(self, row_labels, col_labels) -> np.ndarray:
Returns
-------
numpy.ndarray
-
- Examples
- --------
- values : ndarray
- The found values
+ The found values.
"""
n = len(row_labels)
if n != len(col_labels):
@@ -3780,7 +3768,6 @@ def _reindex_multi(self, axes, copy, fill_value) -> "DataFrame":
"""
We are guaranteed non-Nones in the axes.
"""
-
new_index, row_indexer = self.index.reindex(axes["index"])
new_columns, col_indexer = self.columns.reindex(axes["columns"])
@@ -4101,7 +4088,6 @@ def rename(
Examples
--------
-
``DataFrame.rename`` supports two calling conventions
* ``(index=index_mapper, columns=columns_mapper, ...)``
@@ -5591,7 +5577,6 @@ def combine_first(self, other: "DataFrame") -> "DataFrame":
Examples
--------
-
>>> df1 = pd.DataFrame({'A': [None, 0], 'B': [None, 4]})
>>> df2 = pd.DataFrame({'A': [1, 1], 'B': [3, 3]})
>>> df1.combine_first(df2)
@@ -6370,7 +6355,6 @@ def explode(self, column: Union[str, Tuple]) -> "DataFrame":
3 3 1
3 4 1
"""
-
if not (is_scalar(column) or isinstance(column, tuple)):
raise ValueError("column must be a scalar")
if not self.columns.is_unique:
@@ -6855,7 +6839,6 @@ def apply(self, func, axis=0, raw=False, result_type=None, args=(), **kwds):
Examples
--------
-
>>> df = pd.DataFrame([[4, 9]] * 3, columns=['A', 'B'])
>>> df
A B
@@ -7050,7 +7033,6 @@ def append(
Examples
--------
-
>>> df = pd.DataFrame([[1, 2], [3, 4]], columns=list('AB'))
>>> df
A B
@@ -8432,7 +8414,6 @@ def isin(self, values) -> "DataFrame":
Examples
--------
-
>>> df = pd.DataFrame({'num_legs': [2, 4], 'num_wings': [2, 0]},
... index=['falcon', 'dog'])
>>> df
@@ -8493,7 +8474,7 @@ def isin(self, values) -> "DataFrame":
raise TypeError(
"only list-like or dict-like objects are allowed "
"to be passed to DataFrame.isin(), "
- f"you passed a {repr(type(values).__name__)}"
+ f"you passed a '{type(values).__name__}'"
)
return DataFrame(
algorithms.isin(self.values.ravel(), values).reshape(self.shape),
diff --git a/pandas/tests/frame/methods/test_diff.py b/pandas/tests/frame/methods/test_diff.py
index 43c25f4c05c2d..ffdb6d41ebda5 100644
--- a/pandas/tests/frame/methods/test_diff.py
+++ b/pandas/tests/frame/methods/test_diff.py
@@ -15,7 +15,7 @@ def test_diff(self, datetime_frame):
)
# int dtype
- a = 10000000000000000
+ a = 10_000_000_000_000_000
b = a + 1
s = Series([a, b])
diff --git a/pandas/tests/test_take.py b/pandas/tests/test_take.py
index 1d2ab9358c01c..2534f1849cf61 100644
--- a/pandas/tests/test_take.py
+++ b/pandas/tests/test_take.py
@@ -345,7 +345,7 @@ def test_2d_float32(self):
def test_2d_datetime64(self):
# 2005/01/01 - 2006/01/01
- arr = np.random.randint(11045376, 11360736, (5, 3)) * 100000000000
+ arr = np.random.randint(11_045_376, 11_360_736, (5, 3)) * 100_000_000_000
arr = arr.view(dtype="datetime64[ns]")
indexer = [0, 2, -1, 1, -1]
@@ -452,7 +452,7 @@ def test_take_empty(self, allow_fill):
tm.assert_numpy_array_equal(arr, result)
msg = (
- r"cannot do a non-empty take from an empty axes.|"
+ "cannot do a non-empty take from an empty axes.|"
"indices are out-of-bounds"
)
with pytest.raises(IndexError, match=msg):
| - [x] passes `black pandas`
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
| https://api.github.com/repos/pandas-dev/pandas/pulls/31162 | 2020-01-20T21:03:44Z | 2020-01-20T22:28:01Z | 2020-01-20T22:28:01Z | 2020-01-21T00:43:01Z |
TST: Add regression tests for fixed issues | diff --git a/pandas/tests/frame/test_constructors.py b/pandas/tests/frame/test_constructors.py
index a861e0eb52391..b1620df91ba26 100644
--- a/pandas/tests/frame/test_constructors.py
+++ b/pandas/tests/frame/test_constructors.py
@@ -2433,6 +2433,24 @@ def test_datetime_date_tuple_columns_from_dict(self):
expected = DataFrame([0, 1, 2], columns=pd.Index(pd.Series([tup])))
tm.assert_frame_equal(result, expected)
+ def test_construct_with_two_categoricalindex_series(self):
+ # GH 14600
+ s1 = pd.Series(
+ [39, 6, 4], index=pd.CategoricalIndex(["female", "male", "unknown"])
+ )
+ s2 = pd.Series(
+ [2, 152, 2, 242, 150],
+ index=pd.CategoricalIndex(["f", "female", "m", "male", "unknown"]),
+ )
+ result = pd.DataFrame([s1, s2])
+ expected = pd.DataFrame(
+ np.array(
+ [[np.nan, 39.0, np.nan, 6.0, 4.0], [2.0, 152.0, 2.0, 242.0, 150.0]]
+ ),
+ columns=["f", "female", "m", "male", "unknown"],
+ )
+ tm.assert_frame_equal(result, expected)
+
class TestDataFrameConstructorWithDatetimeTZ:
def test_from_dict(self):
diff --git a/pandas/tests/groupby/test_apply.py b/pandas/tests/groupby/test_apply.py
index 708d3429285a8..fc7b9f56002d8 100644
--- a/pandas/tests/groupby/test_apply.py
+++ b/pandas/tests/groupby/test_apply.py
@@ -792,3 +792,22 @@ def test_apply_multi_level_name(category):
)
tm.assert_frame_equal(result, expected)
assert df.index.names == ["A", "B"]
+
+
+def test_groupby_apply_datetime_result_dtypes():
+ # GH 14849
+ data = pd.DataFrame.from_records(
+ [
+ (pd.Timestamp(2016, 1, 1), "red", "dark", 1, "8"),
+ (pd.Timestamp(2015, 1, 1), "green", "stormy", 2, "9"),
+ (pd.Timestamp(2014, 1, 1), "blue", "bright", 3, "10"),
+ (pd.Timestamp(2013, 1, 1), "blue", "calm", 4, "potato"),
+ ],
+ columns=["observation", "color", "mood", "intensity", "score"],
+ )
+ result = data.groupby("color").apply(lambda g: g.iloc[0]).dtypes
+ expected = Series(
+ [np.dtype("datetime64[ns]"), np.object, np.object, np.int64, np.object],
+ index=["observation", "color", "mood", "intensity", "score"],
+ )
+ tm.assert_series_equal(result, expected)
diff --git a/pandas/tests/groupby/test_groupby.py b/pandas/tests/groupby/test_groupby.py
index 7e374811d1960..eb9552fbbebc1 100644
--- a/pandas/tests/groupby/test_groupby.py
+++ b/pandas/tests/groupby/test_groupby.py
@@ -1952,6 +1952,13 @@ def test_shift_bfill_ffill_tz(tz_naive_fixture, op, expected):
tm.assert_frame_equal(result, expected)
+def test_ffill_missing_arguments():
+ # GH 14955
+ df = pd.DataFrame({"a": [1, 2], "b": [1, 1]})
+ with pytest.raises(ValueError, match="Must specify a fill"):
+ df.groupby("b").fillna()
+
+
def test_groupby_only_none_group():
# see GH21624
# this was crashing with "ValueError: Length of passed values is 1, index implies 0"
diff --git a/pandas/tests/indexing/test_loc.py b/pandas/tests/indexing/test_loc.py
index 78fcd15ab4cc1..4c1436b800fc3 100644
--- a/pandas/tests/indexing/test_loc.py
+++ b/pandas/tests/indexing/test_loc.py
@@ -1002,3 +1002,13 @@ def test_loc_axis_1_slice():
),
)
tm.assert_frame_equal(result, expected)
+
+
+def test_loc_set_dataframe_multiindex():
+ # GH 14592
+ expected = pd.DataFrame(
+ "a", index=range(2), columns=pd.MultiIndex.from_product([range(2), range(2)])
+ )
+ result = expected.copy()
+ result.loc[0, [(0, 1)]] = result.loc[0, [(0, 1)]]
+ tm.assert_frame_equal(result, expected)
diff --git a/pandas/tests/io/test_pickle.py b/pandas/tests/io/test_pickle.py
index 3d427dde573af..22c4e38206df6 100644
--- a/pandas/tests/io/test_pickle.py
+++ b/pandas/tests/io/test_pickle.py
@@ -11,6 +11,7 @@
3. Move the created pickle to "data/legacy_pickle/<version>" directory.
"""
import bz2
+import datetime
import glob
import gzip
import os
@@ -487,3 +488,17 @@ def open(self, *args):
df.to_pickle(mockurl)
result = pd.read_pickle(mockurl)
tm.assert_frame_equal(df, result)
+
+
+class MyTz(datetime.tzinfo):
+ def __init__(self):
+ pass
+
+
+def test_read_pickle_with_subclass():
+ # GH 12163
+ expected = pd.Series(dtype=object), MyTz()
+ result = tm.round_trip_pickle(expected)
+
+ tm.assert_series_equal(result[0], expected[0])
+ assert isinstance(result[1], MyTz)
diff --git a/pandas/tests/series/test_constructors.py b/pandas/tests/series/test_constructors.py
index d760939657d47..2651c3d73c9ab 100644
--- a/pandas/tests/series/test_constructors.py
+++ b/pandas/tests/series/test_constructors.py
@@ -1115,6 +1115,15 @@ def create_data(constructor):
tm.assert_series_equal(result_datetime, expected)
tm.assert_series_equal(result_Timestamp, expected)
+ def test_contructor_dict_tuple_indexer(self):
+ # GH 12948
+ data = {(1, 1, None): -1.0}
+ result = Series(data)
+ expected = Series(
+ -1.0, index=MultiIndex(levels=[[1], [1], [np.nan]], codes=[[0], [0], [-1]])
+ )
+ tm.assert_series_equal(result, expected)
+
def test_constructor_mapping(self, non_mapping_dict_subclass):
# GH 29788
ndm = non_mapping_dict_subclass({3: "three"})
diff --git a/pandas/tests/test_multilevel.py b/pandas/tests/test_multilevel.py
index 5382ad84bcca2..1adc5011a0c31 100644
--- a/pandas/tests/test_multilevel.py
+++ b/pandas/tests/test_multilevel.py
@@ -2147,6 +2147,40 @@ def test_sort_index_level_mixed(self):
sorted_after.drop([("foo", "three")], axis=1),
)
+ def test_sort_index_categorical_multiindex(self):
+ # GH 15058
+ df = DataFrame(
+ {
+ "a": range(6),
+ "l1": pd.Categorical(
+ ["a", "a", "b", "b", "c", "c"],
+ categories=["c", "a", "b"],
+ ordered=True,
+ ),
+ "l2": [0, 1, 0, 1, 0, 1],
+ }
+ )
+ result = df.set_index(["l1", "l2"]).sort_index()
+ expected = DataFrame(
+ [4, 5, 0, 1, 2, 3],
+ columns=["a"],
+ index=MultiIndex(
+ levels=[
+ pd.CategoricalIndex(
+ ["c", "a", "b"],
+ categories=["c", "a", "b"],
+ ordered=True,
+ name="l1",
+ dtype="category",
+ ),
+ [0, 1],
+ ],
+ codes=[[0, 0, 1, 1, 2, 2], [0, 1, 0, 1, 0, 1]],
+ names=["l1", "l2"],
+ ),
+ )
+ tm.assert_frame_equal(result, expected)
+
def test_is_lexsorted(self):
levels = [[0, 1], [0, 1, 2]]
| - [x] closes #14600
- [x] closes #14849
- [x] closes #14955
- [x] closes #14592
- [x] closes #12163
- [x] closes #12948
- [x] closes #15058
- [x] tests added / passed
- [x] passes `black pandas`
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
| https://api.github.com/repos/pandas-dev/pandas/pulls/31161 | 2020-01-20T20:14:22Z | 2020-01-21T01:06:11Z | 2020-01-21T01:06:09Z | 2020-01-21T01:06:15Z |
ENH: Implement _from_sequence_of_strings for BooleanArray | diff --git a/doc/source/whatsnew/v1.0.0.rst b/doc/source/whatsnew/v1.0.0.rst
index 3bd86bb02155f..c720070b96969 100755
--- a/doc/source/whatsnew/v1.0.0.rst
+++ b/doc/source/whatsnew/v1.0.0.rst
@@ -144,7 +144,7 @@ type dedicated to boolean data that can hold missing values. The default
``bool`` data type based on a bool-dtype NumPy array, the column can only hold
``True`` or ``False``, and not missing values. This new :class:`~arrays.BooleanArray`
can store missing values as well by keeping track of this in a separate mask.
-(:issue:`29555`, :issue:`30095`)
+(:issue:`29555`, :issue:`30095`, :issue:`31131`)
.. ipython:: python
diff --git a/pandas/core/arrays/boolean.py b/pandas/core/arrays/boolean.py
index eaa17df1235d3..7b12f3348e7e7 100644
--- a/pandas/core/arrays/boolean.py
+++ b/pandas/core/arrays/boolean.py
@@ -1,5 +1,5 @@
import numbers
-from typing import TYPE_CHECKING, Any, Tuple, Type
+from typing import TYPE_CHECKING, Any, List, Tuple, Type
import warnings
import numpy as np
@@ -286,6 +286,23 @@ def _from_sequence(cls, scalars, dtype=None, copy: bool = False):
values, mask = coerce_to_array(scalars, copy=copy)
return BooleanArray(values, mask)
+ @classmethod
+ def _from_sequence_of_strings(
+ cls, strings: List[str], dtype=None, copy: bool = False
+ ):
+ def map_string(s):
+ if isna(s):
+ return s
+ elif s in ["True", "TRUE", "true"]:
+ return True
+ elif s in ["False", "FALSE", "false"]:
+ return False
+ else:
+ raise ValueError(f"{s} cannot be cast to bool")
+
+ scalars = [map_string(x) for x in strings]
+ return cls._from_sequence(scalars, dtype, copy)
+
def _values_for_factorize(self) -> Tuple[np.ndarray, Any]:
data = self._data.astype("int8")
data[self._mask] = -1
diff --git a/pandas/tests/arrays/test_boolean.py b/pandas/tests/arrays/test_boolean.py
index cc8d0cdcb518d..465d873f0a2ad 100644
--- a/pandas/tests/arrays/test_boolean.py
+++ b/pandas/tests/arrays/test_boolean.py
@@ -251,6 +251,22 @@ def test_coerce_to_numpy_array():
np.array(arr, dtype="bool")
+def test_to_boolean_array_from_strings():
+ result = BooleanArray._from_sequence_of_strings(
+ np.array(["True", "False", np.nan], dtype=object)
+ )
+ expected = BooleanArray(
+ np.array([True, False, False]), np.array([False, False, True])
+ )
+
+ tm.assert_extension_array_equal(result, expected)
+
+
+def test_to_boolean_array_from_strings_invalid_string():
+ with pytest.raises(ValueError, match="cannot be cast"):
+ BooleanArray._from_sequence_of_strings(["donkey"])
+
+
def test_repr():
df = pd.DataFrame({"A": pd.array([True, False, None], dtype="boolean")})
expected = " A\n0 True\n1 False\n2 <NA>"
diff --git a/pandas/tests/io/parser/test_dtypes.py b/pandas/tests/io/parser/test_dtypes.py
index d08c86bf2ae75..11dcf7f04f76b 100644
--- a/pandas/tests/io/parser/test_dtypes.py
+++ b/pandas/tests/io/parser/test_dtypes.py
@@ -550,3 +550,35 @@ def test_numeric_dtype(all_parsers, dtype):
result = parser.read_csv(StringIO(data), header=None, dtype=dtype)
tm.assert_frame_equal(expected, result)
+
+
+def test_boolean_dtype(all_parsers):
+ parser = all_parsers
+ data = "\n".join(
+ [
+ "a",
+ "True",
+ "TRUE",
+ "true",
+ "False",
+ "FALSE",
+ "false",
+ "NaN",
+ "nan",
+ "NA",
+ "null",
+ "NULL",
+ ]
+ )
+
+ result = parser.read_csv(StringIO(data), dtype="boolean")
+ expected = pd.DataFrame(
+ {
+ "a": pd.array(
+ [True, True, True, False, False, False, None, None, None, None, None],
+ dtype="boolean",
+ )
+ }
+ )
+
+ tm.assert_frame_equal(result, expected)
| - [x] closes #31131
- [x] tests added / passed
- [x] passes `black pandas`
- [x] whatsnew entry | https://api.github.com/repos/pandas-dev/pandas/pulls/31159 | 2020-01-20T18:30:01Z | 2020-01-23T20:56:01Z | 2020-01-23T20:56:01Z | 2020-01-23T21:56:21Z |
DOC: Update of the 'getting started' pages in the sphinx section of the documentation | diff --git a/doc/data/air_quality_long.csv b/doc/data/air_quality_long.csv
new file mode 100644
index 0000000000000..6225d65d8e276
--- /dev/null
+++ b/doc/data/air_quality_long.csv
@@ -0,0 +1,5273 @@
+city,country,date.utc,location,parameter,value,unit
+Antwerpen,BE,2019-06-18 06:00:00+00:00,BETR801,pm25,18.0,µg/m³
+Antwerpen,BE,2019-06-17 08:00:00+00:00,BETR801,pm25,6.5,µg/m³
+Antwerpen,BE,2019-06-17 07:00:00+00:00,BETR801,pm25,18.5,µg/m³
+Antwerpen,BE,2019-06-17 06:00:00+00:00,BETR801,pm25,16.0,µg/m³
+Antwerpen,BE,2019-06-17 05:00:00+00:00,BETR801,pm25,7.5,µg/m³
+Antwerpen,BE,2019-06-17 04:00:00+00:00,BETR801,pm25,7.5,µg/m³
+Antwerpen,BE,2019-06-17 03:00:00+00:00,BETR801,pm25,7.0,µg/m³
+Antwerpen,BE,2019-06-17 02:00:00+00:00,BETR801,pm25,7.0,µg/m³
+Antwerpen,BE,2019-06-17 01:00:00+00:00,BETR801,pm25,8.0,µg/m³
+Antwerpen,BE,2019-06-16 01:00:00+00:00,BETR801,pm25,15.0,µg/m³
+Antwerpen,BE,2019-06-15 01:00:00+00:00,BETR801,pm25,11.0,µg/m³
+Antwerpen,BE,2019-06-14 09:00:00+00:00,BETR801,pm25,12.0,µg/m³
+Antwerpen,BE,2019-06-13 01:00:00+00:00,BETR801,pm25,3.0,µg/m³
+Antwerpen,BE,2019-06-12 01:00:00+00:00,BETR801,pm25,16.0,µg/m³
+Antwerpen,BE,2019-06-11 01:00:00+00:00,BETR801,pm25,3.5,µg/m³
+Antwerpen,BE,2019-06-10 01:00:00+00:00,BETR801,pm25,8.5,µg/m³
+Antwerpen,BE,2019-06-09 01:00:00+00:00,BETR801,pm25,6.0,µg/m³
+Antwerpen,BE,2019-06-08 01:00:00+00:00,BETR801,pm25,6.5,µg/m³
+Antwerpen,BE,2019-06-06 01:00:00+00:00,BETR801,pm25,6.5,µg/m³
+Antwerpen,BE,2019-06-05 01:00:00+00:00,BETR801,pm25,11.0,µg/m³
+Antwerpen,BE,2019-06-04 01:00:00+00:00,BETR801,pm25,10.5,µg/m³
+Antwerpen,BE,2019-06-03 01:00:00+00:00,BETR801,pm25,12.5,µg/m³
+Antwerpen,BE,2019-06-02 01:00:00+00:00,BETR801,pm25,19.0,µg/m³
+Antwerpen,BE,2019-06-01 01:00:00+00:00,BETR801,pm25,9.0,µg/m³
+Antwerpen,BE,2019-05-31 01:00:00+00:00,BETR801,pm25,6.0,µg/m³
+Antwerpen,BE,2019-05-30 01:00:00+00:00,BETR801,pm25,5.0,µg/m³
+Antwerpen,BE,2019-05-29 01:00:00+00:00,BETR801,pm25,5.5,µg/m³
+Antwerpen,BE,2019-05-28 01:00:00+00:00,BETR801,pm25,7.0,µg/m³
+Antwerpen,BE,2019-05-27 01:00:00+00:00,BETR801,pm25,7.5,µg/m³
+Antwerpen,BE,2019-05-26 01:00:00+00:00,BETR801,pm25,26.5,µg/m³
+Antwerpen,BE,2019-05-25 01:00:00+00:00,BETR801,pm25,10.0,µg/m³
+Antwerpen,BE,2019-05-24 01:00:00+00:00,BETR801,pm25,13.0,µg/m³
+Antwerpen,BE,2019-05-23 01:00:00+00:00,BETR801,pm25,7.5,µg/m³
+Antwerpen,BE,2019-05-22 01:00:00+00:00,BETR801,pm25,15.5,µg/m³
+Antwerpen,BE,2019-05-21 01:00:00+00:00,BETR801,pm25,20.5,µg/m³
+Antwerpen,BE,2019-05-20 17:00:00+00:00,BETR801,pm25,18.5,µg/m³
+Antwerpen,BE,2019-05-20 16:00:00+00:00,BETR801,pm25,17.0,µg/m³
+Antwerpen,BE,2019-05-20 15:00:00+00:00,BETR801,pm25,18.5,µg/m³
+Antwerpen,BE,2019-05-20 14:00:00+00:00,BETR801,pm25,14.5,µg/m³
+Antwerpen,BE,2019-05-20 13:00:00+00:00,BETR801,pm25,17.0,µg/m³
+Antwerpen,BE,2019-05-20 12:00:00+00:00,BETR801,pm25,17.5,µg/m³
+Antwerpen,BE,2019-05-20 11:00:00+00:00,BETR801,pm25,13.5,µg/m³
+Antwerpen,BE,2019-05-20 10:00:00+00:00,BETR801,pm25,10.5,µg/m³
+Antwerpen,BE,2019-05-20 09:00:00+00:00,BETR801,pm25,13.5,µg/m³
+Antwerpen,BE,2019-05-20 08:00:00+00:00,BETR801,pm25,19.5,µg/m³
+Antwerpen,BE,2019-05-20 07:00:00+00:00,BETR801,pm25,23.5,µg/m³
+Antwerpen,BE,2019-05-20 06:00:00+00:00,BETR801,pm25,22.0,µg/m³
+Antwerpen,BE,2019-05-20 05:00:00+00:00,BETR801,pm25,25.0,µg/m³
+Antwerpen,BE,2019-05-20 04:00:00+00:00,BETR801,pm25,24.5,µg/m³
+Antwerpen,BE,2019-05-20 03:00:00+00:00,BETR801,pm25,15.0,µg/m³
+Antwerpen,BE,2019-05-20 02:00:00+00:00,BETR801,pm25,18.5,µg/m³
+Antwerpen,BE,2019-05-20 01:00:00+00:00,BETR801,pm25,28.0,µg/m³
+Antwerpen,BE,2019-05-19 21:00:00+00:00,BETR801,pm25,35.5,µg/m³
+Antwerpen,BE,2019-05-19 20:00:00+00:00,BETR801,pm25,40.0,µg/m³
+Antwerpen,BE,2019-05-19 19:00:00+00:00,BETR801,pm25,43.5,µg/m³
+Antwerpen,BE,2019-05-19 18:00:00+00:00,BETR801,pm25,35.0,µg/m³
+Antwerpen,BE,2019-05-19 17:00:00+00:00,BETR801,pm25,34.0,µg/m³
+Antwerpen,BE,2019-05-19 16:00:00+00:00,BETR801,pm25,36.5,µg/m³
+Antwerpen,BE,2019-05-19 15:00:00+00:00,BETR801,pm25,44.0,µg/m³
+Antwerpen,BE,2019-05-19 14:00:00+00:00,BETR801,pm25,43.5,µg/m³
+Antwerpen,BE,2019-05-19 13:00:00+00:00,BETR801,pm25,46.0,µg/m³
+Antwerpen,BE,2019-05-19 12:00:00+00:00,BETR801,pm25,43.0,µg/m³
+Antwerpen,BE,2019-05-19 11:00:00+00:00,BETR801,pm25,41.0,µg/m³
+Antwerpen,BE,2019-05-19 10:00:00+00:00,BETR801,pm25,41.5,µg/m³
+Antwerpen,BE,2019-05-19 09:00:00+00:00,BETR801,pm25,42.5,µg/m³
+Antwerpen,BE,2019-05-19 08:00:00+00:00,BETR801,pm25,51.5,µg/m³
+Antwerpen,BE,2019-05-19 07:00:00+00:00,BETR801,pm25,56.0,µg/m³
+Antwerpen,BE,2019-05-19 06:00:00+00:00,BETR801,pm25,58.5,µg/m³
+Antwerpen,BE,2019-05-19 05:00:00+00:00,BETR801,pm25,60.0,µg/m³
+Antwerpen,BE,2019-05-19 04:00:00+00:00,BETR801,pm25,56.5,µg/m³
+Antwerpen,BE,2019-05-19 03:00:00+00:00,BETR801,pm25,52.5,µg/m³
+Antwerpen,BE,2019-05-19 02:00:00+00:00,BETR801,pm25,51.5,µg/m³
+Antwerpen,BE,2019-05-19 01:00:00+00:00,BETR801,pm25,52.0,µg/m³
+Antwerpen,BE,2019-05-19 00:00:00+00:00,BETR801,pm25,49.5,µg/m³
+Antwerpen,BE,2019-05-18 23:00:00+00:00,BETR801,pm25,45.5,µg/m³
+Antwerpen,BE,2019-05-18 22:00:00+00:00,BETR801,pm25,42.0,µg/m³
+Antwerpen,BE,2019-05-18 21:00:00+00:00,BETR801,pm25,40.5,µg/m³
+Antwerpen,BE,2019-05-18 20:00:00+00:00,BETR801,pm25,41.0,µg/m³
+Antwerpen,BE,2019-05-18 19:00:00+00:00,BETR801,pm25,36.5,µg/m³
+Antwerpen,BE,2019-05-18 18:00:00+00:00,BETR801,pm25,37.0,µg/m³
+Antwerpen,BE,2019-05-18 01:00:00+00:00,BETR801,pm25,24.0,µg/m³
+Antwerpen,BE,2019-05-17 01:00:00+00:00,BETR801,pm25,13.5,µg/m³
+Antwerpen,BE,2019-05-16 01:00:00+00:00,BETR801,pm25,11.0,µg/m³
+Antwerpen,BE,2019-05-15 02:00:00+00:00,BETR801,pm25,12.5,µg/m³
+Antwerpen,BE,2019-05-15 01:00:00+00:00,BETR801,pm25,13.0,µg/m³
+Antwerpen,BE,2019-05-14 02:00:00+00:00,BETR801,pm25,4.0,µg/m³
+Antwerpen,BE,2019-05-14 01:00:00+00:00,BETR801,pm25,4.0,µg/m³
+Antwerpen,BE,2019-05-13 02:00:00+00:00,BETR801,pm25,5.5,µg/m³
+Antwerpen,BE,2019-05-13 01:00:00+00:00,BETR801,pm25,5.0,µg/m³
+Antwerpen,BE,2019-05-12 02:00:00+00:00,BETR801,pm25,6.0,µg/m³
+Antwerpen,BE,2019-05-12 01:00:00+00:00,BETR801,pm25,6.0,µg/m³
+Antwerpen,BE,2019-05-11 02:00:00+00:00,BETR801,pm25,19.5,µg/m³
+Antwerpen,BE,2019-05-11 01:00:00+00:00,BETR801,pm25,17.0,µg/m³
+Antwerpen,BE,2019-05-10 02:00:00+00:00,BETR801,pm25,13.5,µg/m³
+Antwerpen,BE,2019-05-10 01:00:00+00:00,BETR801,pm25,11.5,µg/m³
+Antwerpen,BE,2019-05-09 02:00:00+00:00,BETR801,pm25,3.5,µg/m³
+Antwerpen,BE,2019-05-09 01:00:00+00:00,BETR801,pm25,4.5,µg/m³
+Antwerpen,BE,2019-05-08 02:00:00+00:00,BETR801,pm25,14.0,µg/m³
+Antwerpen,BE,2019-05-08 01:00:00+00:00,BETR801,pm25,14.5,µg/m³
+Antwerpen,BE,2019-05-07 02:00:00+00:00,BETR801,pm25,14.0,µg/m³
+Antwerpen,BE,2019-05-07 01:00:00+00:00,BETR801,pm25,12.5,µg/m³
+Antwerpen,BE,2019-05-06 02:00:00+00:00,BETR801,pm25,10.5,µg/m³
+Antwerpen,BE,2019-05-06 01:00:00+00:00,BETR801,pm25,10.0,µg/m³
+Antwerpen,BE,2019-05-05 02:00:00+00:00,BETR801,pm25,3.0,µg/m³
+Antwerpen,BE,2019-05-05 01:00:00+00:00,BETR801,pm25,5.0,µg/m³
+Antwerpen,BE,2019-05-04 02:00:00+00:00,BETR801,pm25,4.5,µg/m³
+Antwerpen,BE,2019-05-04 01:00:00+00:00,BETR801,pm25,4.0,µg/m³
+Antwerpen,BE,2019-05-03 02:00:00+00:00,BETR801,pm25,9.5,µg/m³
+Antwerpen,BE,2019-05-03 01:00:00+00:00,BETR801,pm25,8.5,µg/m³
+Antwerpen,BE,2019-05-02 02:00:00+00:00,BETR801,pm25,45.5,µg/m³
+Antwerpen,BE,2019-05-02 01:00:00+00:00,BETR801,pm25,46.0,µg/m³
+Antwerpen,BE,2019-05-01 02:00:00+00:00,BETR801,pm25,28.5,µg/m³
+Antwerpen,BE,2019-05-01 01:00:00+00:00,BETR801,pm25,34.5,µg/m³
+Antwerpen,BE,2019-04-30 02:00:00+00:00,BETR801,pm25,13.5,µg/m³
+Antwerpen,BE,2019-04-30 01:00:00+00:00,BETR801,pm25,18.5,µg/m³
+Antwerpen,BE,2019-04-29 02:00:00+00:00,BETR801,pm25,14.5,µg/m³
+Antwerpen,BE,2019-04-29 01:00:00+00:00,BETR801,pm25,14.0,µg/m³
+Antwerpen,BE,2019-04-28 02:00:00+00:00,BETR801,pm25,4.5,µg/m³
+Antwerpen,BE,2019-04-28 01:00:00+00:00,BETR801,pm25,6.5,µg/m³
+Antwerpen,BE,2019-04-27 02:00:00+00:00,BETR801,pm25,7.0,µg/m³
+Antwerpen,BE,2019-04-27 01:00:00+00:00,BETR801,pm25,6.5,µg/m³
+Antwerpen,BE,2019-04-26 02:00:00+00:00,BETR801,pm25,4.0,µg/m³
+Antwerpen,BE,2019-04-26 01:00:00+00:00,BETR801,pm25,4.5,µg/m³
+Antwerpen,BE,2019-04-25 02:00:00+00:00,BETR801,pm25,3.0,µg/m³
+Antwerpen,BE,2019-04-25 01:00:00+00:00,BETR801,pm25,3.0,µg/m³
+Antwerpen,BE,2019-04-24 02:00:00+00:00,BETR801,pm25,19.0,µg/m³
+Antwerpen,BE,2019-04-24 01:00:00+00:00,BETR801,pm25,19.0,µg/m³
+Antwerpen,BE,2019-04-23 02:00:00+00:00,BETR801,pm25,9.0,µg/m³
+Antwerpen,BE,2019-04-23 01:00:00+00:00,BETR801,pm25,9.0,µg/m³
+Antwerpen,BE,2019-04-22 02:00:00+00:00,BETR801,pm25,36.5,µg/m³
+Antwerpen,BE,2019-04-22 01:00:00+00:00,BETR801,pm25,32.5,µg/m³
+Antwerpen,BE,2019-04-21 02:00:00+00:00,BETR801,pm25,26.5,µg/m³
+Antwerpen,BE,2019-04-21 01:00:00+00:00,BETR801,pm25,27.5,µg/m³
+Antwerpen,BE,2019-04-20 02:00:00+00:00,BETR801,pm25,20.0,µg/m³
+Antwerpen,BE,2019-04-20 01:00:00+00:00,BETR801,pm25,20.0,µg/m³
+Antwerpen,BE,2019-04-19 01:00:00+00:00,BETR801,pm25,20.0,µg/m³
+Antwerpen,BE,2019-04-18 02:00:00+00:00,BETR801,pm25,26.5,µg/m³
+Antwerpen,BE,2019-04-18 01:00:00+00:00,BETR801,pm25,25.0,µg/m³
+Antwerpen,BE,2019-04-17 03:00:00+00:00,BETR801,pm25,9.0,µg/m³
+Antwerpen,BE,2019-04-17 02:00:00+00:00,BETR801,pm25,8.5,µg/m³
+Antwerpen,BE,2019-04-17 01:00:00+00:00,BETR801,pm25,8.0,µg/m³
+Antwerpen,BE,2019-04-16 02:00:00+00:00,BETR801,pm25,23.0,µg/m³
+Antwerpen,BE,2019-04-16 01:00:00+00:00,BETR801,pm25,24.0,µg/m³
+Antwerpen,BE,2019-04-15 15:00:00+00:00,BETR801,pm25,26.5,µg/m³
+Antwerpen,BE,2019-04-15 14:00:00+00:00,BETR801,pm25,25.5,µg/m³
+Antwerpen,BE,2019-04-15 13:00:00+00:00,BETR801,pm25,26.5,µg/m³
+Antwerpen,BE,2019-04-15 12:00:00+00:00,BETR801,pm25,26.5,µg/m³
+Antwerpen,BE,2019-04-15 11:00:00+00:00,BETR801,pm25,26.0,µg/m³
+Antwerpen,BE,2019-04-15 10:00:00+00:00,BETR801,pm25,26.0,µg/m³
+Antwerpen,BE,2019-04-15 09:00:00+00:00,BETR801,pm25,21.5,µg/m³
+Antwerpen,BE,2019-04-15 08:00:00+00:00,BETR801,pm25,24.0,µg/m³
+Antwerpen,BE,2019-04-15 07:00:00+00:00,BETR801,pm25,24.0,µg/m³
+Antwerpen,BE,2019-04-15 06:00:00+00:00,BETR801,pm25,23.0,µg/m³
+Antwerpen,BE,2019-04-15 05:00:00+00:00,BETR801,pm25,23.0,µg/m³
+Antwerpen,BE,2019-04-15 04:00:00+00:00,BETR801,pm25,23.5,µg/m³
+Antwerpen,BE,2019-04-15 03:00:00+00:00,BETR801,pm25,24.5,µg/m³
+Antwerpen,BE,2019-04-15 02:00:00+00:00,BETR801,pm25,24.5,µg/m³
+Antwerpen,BE,2019-04-15 01:00:00+00:00,BETR801,pm25,25.5,µg/m³
+Antwerpen,BE,2019-04-12 02:00:00+00:00,BETR801,pm25,22.0,µg/m³
+Antwerpen,BE,2019-04-12 01:00:00+00:00,BETR801,pm25,22.0,µg/m³
+Antwerpen,BE,2019-04-11 02:00:00+00:00,BETR801,pm25,10.0,µg/m³
+Antwerpen,BE,2019-04-11 01:00:00+00:00,BETR801,pm25,9.0,µg/m³
+Antwerpen,BE,2019-04-10 02:00:00+00:00,BETR801,pm25,26.0,µg/m³
+Antwerpen,BE,2019-04-10 01:00:00+00:00,BETR801,pm25,24.5,µg/m³
+Antwerpen,BE,2019-04-09 13:00:00+00:00,BETR801,pm25,38.0,µg/m³
+Antwerpen,BE,2019-04-09 12:00:00+00:00,BETR801,pm25,41.5,µg/m³
+Antwerpen,BE,2019-04-09 11:00:00+00:00,BETR801,pm25,45.0,µg/m³
+Antwerpen,BE,2019-04-09 10:00:00+00:00,BETR801,pm25,44.5,µg/m³
+Antwerpen,BE,2019-04-09 09:00:00+00:00,BETR801,pm25,43.0,µg/m³
+Antwerpen,BE,2019-04-09 08:00:00+00:00,BETR801,pm25,44.0,µg/m³
+Antwerpen,BE,2019-04-09 07:00:00+00:00,BETR801,pm25,46.5,µg/m³
+Antwerpen,BE,2019-04-09 06:00:00+00:00,BETR801,pm25,52.5,µg/m³
+Antwerpen,BE,2019-04-09 05:00:00+00:00,BETR801,pm25,68.0,µg/m³
+Antwerpen,BE,2019-04-09 04:00:00+00:00,BETR801,pm25,83.5,µg/m³
+Antwerpen,BE,2019-04-09 03:00:00+00:00,BETR801,pm25,99.0,µg/m³
+Antwerpen,BE,2019-04-09 02:00:00+00:00,BETR801,pm25,91.5,µg/m³
+Antwerpen,BE,2019-04-09 01:00:00+00:00,BETR801,pm25,76.0,µg/m³
+London,GB,2019-06-21 00:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-06-20 23:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-06-20 22:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-06-20 21:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-06-20 20:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-06-20 19:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-06-20 18:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-06-20 17:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-06-20 16:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-06-20 15:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-06-19 13:00:00+00:00,London Westminster,pm25,12.0,µg/m³
+London,GB,2019-06-19 12:00:00+00:00,London Westminster,pm25,12.0,µg/m³
+London,GB,2019-06-19 11:00:00+00:00,London Westminster,pm25,12.0,µg/m³
+London,GB,2019-06-19 00:00:00+00:00,London Westminster,pm25,11.0,µg/m³
+London,GB,2019-06-18 23:00:00+00:00,London Westminster,pm25,11.0,µg/m³
+London,GB,2019-06-18 22:00:00+00:00,London Westminster,pm25,11.0,µg/m³
+London,GB,2019-06-18 21:00:00+00:00,London Westminster,pm25,10.0,µg/m³
+London,GB,2019-06-18 11:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-06-18 10:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-06-18 09:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-06-18 08:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-06-18 07:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-06-18 06:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-06-18 05:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-06-18 04:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-06-18 03:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-06-18 02:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-06-18 00:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-06-17 23:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-06-17 22:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-06-17 21:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-06-17 20:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-06-17 19:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-06-17 18:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-06-17 17:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-06-17 16:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-06-17 15:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-06-17 14:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-06-17 13:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-06-17 12:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-06-17 11:00:00+00:00,London Westminster,pm25,6.0,µg/m³
+London,GB,2019-06-17 10:00:00+00:00,London Westminster,pm25,6.0,µg/m³
+London,GB,2019-06-17 09:00:00+00:00,London Westminster,pm25,6.0,µg/m³
+London,GB,2019-06-17 08:00:00+00:00,London Westminster,pm25,6.0,µg/m³
+London,GB,2019-06-17 07:00:00+00:00,London Westminster,pm25,6.0,µg/m³
+London,GB,2019-06-17 06:00:00+00:00,London Westminster,pm25,6.0,µg/m³
+London,GB,2019-06-17 05:00:00+00:00,London Westminster,pm25,6.0,µg/m³
+London,GB,2019-06-17 04:00:00+00:00,London Westminster,pm25,6.0,µg/m³
+London,GB,2019-06-17 03:00:00+00:00,London Westminster,pm25,6.0,µg/m³
+London,GB,2019-06-17 02:00:00+00:00,London Westminster,pm25,6.0,µg/m³
+London,GB,2019-06-17 01:00:00+00:00,London Westminster,pm25,6.0,µg/m³
+London,GB,2019-06-17 00:00:00+00:00,London Westminster,pm25,6.0,µg/m³
+London,GB,2019-06-16 23:00:00+00:00,London Westminster,pm25,6.0,µg/m³
+London,GB,2019-06-16 21:00:00+00:00,London Westminster,pm25,6.0,µg/m³
+London,GB,2019-06-16 20:00:00+00:00,London Westminster,pm25,6.0,µg/m³
+London,GB,2019-06-16 19:00:00+00:00,London Westminster,pm25,6.0,µg/m³
+London,GB,2019-06-16 18:00:00+00:00,London Westminster,pm25,6.0,µg/m³
+London,GB,2019-06-16 17:00:00+00:00,London Westminster,pm25,6.0,µg/m³
+London,GB,2019-06-16 16:00:00+00:00,London Westminster,pm25,6.0,µg/m³
+London,GB,2019-06-16 15:00:00+00:00,London Westminster,pm25,6.0,µg/m³
+London,GB,2019-06-16 14:00:00+00:00,London Westminster,pm25,6.0,µg/m³
+London,GB,2019-06-16 13:00:00+00:00,London Westminster,pm25,6.0,µg/m³
+London,GB,2019-06-16 12:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-06-16 11:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-06-16 10:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-06-16 09:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-06-16 08:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-06-16 07:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-06-16 06:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-06-16 05:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-06-16 04:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-06-16 03:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-06-16 02:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-06-16 01:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-06-16 00:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-06-15 23:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-06-15 22:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-06-15 21:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-06-15 20:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-06-15 19:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-06-15 18:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-06-15 17:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-06-15 16:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-06-15 15:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-06-15 14:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-06-15 13:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-06-15 12:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-06-15 11:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-06-15 10:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-06-15 09:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-06-15 08:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-06-15 07:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-06-15 06:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-06-15 05:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-06-15 04:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-06-15 00:00:00+00:00,London Westminster,pm25,6.0,µg/m³
+London,GB,2019-06-14 23:00:00+00:00,London Westminster,pm25,6.0,µg/m³
+London,GB,2019-06-14 22:00:00+00:00,London Westminster,pm25,6.0,µg/m³
+London,GB,2019-06-14 21:00:00+00:00,London Westminster,pm25,6.0,µg/m³
+London,GB,2019-06-14 20:00:00+00:00,London Westminster,pm25,6.0,µg/m³
+London,GB,2019-06-14 19:00:00+00:00,London Westminster,pm25,6.0,µg/m³
+London,GB,2019-06-14 18:00:00+00:00,London Westminster,pm25,6.0,µg/m³
+London,GB,2019-06-14 17:00:00+00:00,London Westminster,pm25,6.0,µg/m³
+London,GB,2019-06-14 16:00:00+00:00,London Westminster,pm25,6.0,µg/m³
+London,GB,2019-06-14 15:00:00+00:00,London Westminster,pm25,6.0,µg/m³
+London,GB,2019-06-14 14:00:00+00:00,London Westminster,pm25,6.0,µg/m³
+London,GB,2019-06-14 13:00:00+00:00,London Westminster,pm25,6.0,µg/m³
+London,GB,2019-06-14 12:00:00+00:00,London Westminster,pm25,6.0,µg/m³
+London,GB,2019-06-14 11:00:00+00:00,London Westminster,pm25,6.0,µg/m³
+London,GB,2019-06-14 10:00:00+00:00,London Westminster,pm25,6.0,µg/m³
+London,GB,2019-06-14 09:00:00+00:00,London Westminster,pm25,6.0,µg/m³
+London,GB,2019-06-14 08:00:00+00:00,London Westminster,pm25,6.0,µg/m³
+London,GB,2019-06-14 07:00:00+00:00,London Westminster,pm25,6.0,µg/m³
+London,GB,2019-06-14 06:00:00+00:00,London Westminster,pm25,6.0,µg/m³
+London,GB,2019-06-14 05:00:00+00:00,London Westminster,pm25,6.0,µg/m³
+London,GB,2019-06-14 04:00:00+00:00,London Westminster,pm25,6.0,µg/m³
+London,GB,2019-06-14 03:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-06-14 02:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-06-14 00:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-06-13 23:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-06-13 22:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-06-13 21:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-06-13 20:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-06-13 19:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-06-13 18:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-06-13 17:00:00+00:00,London Westminster,pm25,9.0,µg/m³
+London,GB,2019-06-13 16:00:00+00:00,London Westminster,pm25,9.0,µg/m³
+London,GB,2019-06-13 15:00:00+00:00,London Westminster,pm25,9.0,µg/m³
+London,GB,2019-06-13 14:00:00+00:00,London Westminster,pm25,9.0,µg/m³
+London,GB,2019-06-13 13:00:00+00:00,London Westminster,pm25,9.0,µg/m³
+London,GB,2019-06-13 12:00:00+00:00,London Westminster,pm25,10.0,µg/m³
+London,GB,2019-06-13 11:00:00+00:00,London Westminster,pm25,10.0,µg/m³
+London,GB,2019-06-13 10:00:00+00:00,London Westminster,pm25,9.0,µg/m³
+London,GB,2019-06-13 09:00:00+00:00,London Westminster,pm25,10.0,µg/m³
+London,GB,2019-06-13 08:00:00+00:00,London Westminster,pm25,9.0,µg/m³
+London,GB,2019-06-13 07:00:00+00:00,London Westminster,pm25,9.0,µg/m³
+London,GB,2019-06-13 06:00:00+00:00,London Westminster,pm25,9.0,µg/m³
+London,GB,2019-06-13 05:00:00+00:00,London Westminster,pm25,9.0,µg/m³
+London,GB,2019-06-13 04:00:00+00:00,London Westminster,pm25,9.0,µg/m³
+London,GB,2019-06-13 03:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-06-13 02:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-06-13 00:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-06-12 23:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-06-12 21:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-06-12 20:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-06-12 19:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-06-12 18:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-06-12 17:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-06-12 16:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-06-12 15:00:00+00:00,London Westminster,pm25,6.0,µg/m³
+London,GB,2019-06-12 14:00:00+00:00,London Westminster,pm25,6.0,µg/m³
+London,GB,2019-06-12 13:00:00+00:00,London Westminster,pm25,6.0,µg/m³
+London,GB,2019-06-12 12:00:00+00:00,London Westminster,pm25,6.0,µg/m³
+London,GB,2019-06-12 11:00:00+00:00,London Westminster,pm25,6.0,µg/m³
+London,GB,2019-06-12 10:00:00+00:00,London Westminster,pm25,6.0,µg/m³
+London,GB,2019-06-12 09:00:00+00:00,London Westminster,pm25,6.0,µg/m³
+London,GB,2019-06-12 08:00:00+00:00,London Westminster,pm25,6.0,µg/m³
+London,GB,2019-06-12 07:00:00+00:00,London Westminster,pm25,6.0,µg/m³
+London,GB,2019-06-12 06:00:00+00:00,London Westminster,pm25,6.0,µg/m³
+London,GB,2019-06-12 05:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-06-12 04:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-06-12 03:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-06-12 00:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-06-11 23:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-06-11 22:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-06-11 21:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-06-11 20:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-06-11 19:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-06-11 18:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-06-11 17:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-06-11 16:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-06-11 15:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-06-11 14:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-06-11 13:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-06-11 12:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-06-11 11:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-06-11 10:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-06-11 09:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-06-11 08:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-06-11 07:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-06-11 06:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-06-11 05:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-06-11 04:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-06-11 03:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-06-11 02:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-06-11 01:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-06-11 00:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-06-10 23:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-06-10 22:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-06-10 21:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-06-10 20:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-06-10 19:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-06-10 18:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-06-10 17:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-06-10 16:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-06-10 15:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-06-10 14:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-06-10 13:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-06-10 12:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-06-10 11:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-06-10 10:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-06-10 09:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-06-10 08:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-06-10 07:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-06-10 06:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-06-10 05:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-06-10 04:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-06-10 03:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-06-10 02:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-06-10 01:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-06-10 00:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-06-09 23:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-06-09 21:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-06-09 20:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-06-09 19:00:00+00:00,London Westminster,pm25,6.0,µg/m³
+London,GB,2019-06-09 18:00:00+00:00,London Westminster,pm25,6.0,µg/m³
+London,GB,2019-06-09 17:00:00+00:00,London Westminster,pm25,6.0,µg/m³
+London,GB,2019-06-09 16:00:00+00:00,London Westminster,pm25,6.0,µg/m³
+London,GB,2019-06-09 15:00:00+00:00,London Westminster,pm25,6.0,µg/m³
+London,GB,2019-06-09 14:00:00+00:00,London Westminster,pm25,6.0,µg/m³
+London,GB,2019-06-09 13:00:00+00:00,London Westminster,pm25,6.0,µg/m³
+London,GB,2019-06-09 12:00:00+00:00,London Westminster,pm25,6.0,µg/m³
+London,GB,2019-06-09 11:00:00+00:00,London Westminster,pm25,6.0,µg/m³
+London,GB,2019-06-09 10:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-06-09 09:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-06-09 08:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-06-09 07:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-06-09 06:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-06-09 05:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-06-09 04:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-06-09 03:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-06-09 02:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-06-09 01:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-06-09 00:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-06-08 23:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-06-08 21:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-06-08 20:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-06-08 19:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-06-08 18:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-06-08 17:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-06-08 16:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-06-08 15:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-06-08 14:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-06-08 13:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-06-08 12:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-06-08 11:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-06-08 10:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-06-08 09:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-06-08 08:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-06-08 07:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-06-08 06:00:00+00:00,London Westminster,pm25,9.0,µg/m³
+London,GB,2019-06-08 05:00:00+00:00,London Westminster,pm25,9.0,µg/m³
+London,GB,2019-06-08 04:00:00+00:00,London Westminster,pm25,10.0,µg/m³
+London,GB,2019-06-08 03:00:00+00:00,London Westminster,pm25,16.0,µg/m³
+London,GB,2019-06-08 02:00:00+00:00,London Westminster,pm25,16.0,µg/m³
+London,GB,2019-06-08 00:00:00+00:00,London Westminster,pm25,16.0,µg/m³
+London,GB,2019-06-07 23:00:00+00:00,London Westminster,pm25,16.0,µg/m³
+London,GB,2019-06-07 21:00:00+00:00,London Westminster,pm25,16.0,µg/m³
+London,GB,2019-06-07 20:00:00+00:00,London Westminster,pm25,16.0,µg/m³
+London,GB,2019-06-07 19:00:00+00:00,London Westminster,pm25,16.0,µg/m³
+London,GB,2019-06-07 18:00:00+00:00,London Westminster,pm25,15.0,µg/m³
+London,GB,2019-06-07 17:00:00+00:00,London Westminster,pm25,15.0,µg/m³
+London,GB,2019-06-07 16:00:00+00:00,London Westminster,pm25,15.0,µg/m³
+London,GB,2019-06-07 15:00:00+00:00,London Westminster,pm25,15.0,µg/m³
+London,GB,2019-06-07 14:00:00+00:00,London Westminster,pm25,15.0,µg/m³
+London,GB,2019-06-07 13:00:00+00:00,London Westminster,pm25,15.0,µg/m³
+London,GB,2019-06-07 12:00:00+00:00,London Westminster,pm25,14.0,µg/m³
+London,GB,2019-06-07 11:00:00+00:00,London Westminster,pm25,14.0,µg/m³
+London,GB,2019-06-07 10:00:00+00:00,London Westminster,pm25,14.0,µg/m³
+London,GB,2019-06-07 09:00:00+00:00,London Westminster,pm25,14.0,µg/m³
+London,GB,2019-06-07 08:00:00+00:00,London Westminster,pm25,14.0,µg/m³
+London,GB,2019-06-07 07:00:00+00:00,London Westminster,pm25,13.0,µg/m³
+London,GB,2019-06-07 06:00:00+00:00,London Westminster,pm25,13.0,µg/m³
+London,GB,2019-06-07 05:00:00+00:00,London Westminster,pm25,13.0,µg/m³
+London,GB,2019-06-07 04:00:00+00:00,London Westminster,pm25,12.0,µg/m³
+London,GB,2019-06-07 03:00:00+00:00,London Westminster,pm25,6.0,µg/m³
+London,GB,2019-06-07 02:00:00+00:00,London Westminster,pm25,6.0,µg/m³
+London,GB,2019-06-07 01:00:00+00:00,London Westminster,pm25,6.0,µg/m³
+London,GB,2019-06-07 00:00:00+00:00,London Westminster,pm25,6.0,µg/m³
+London,GB,2019-06-06 23:00:00+00:00,London Westminster,pm25,6.0,µg/m³
+London,GB,2019-06-06 22:00:00+00:00,London Westminster,pm25,6.0,µg/m³
+London,GB,2019-06-06 21:00:00+00:00,London Westminster,pm25,6.0,µg/m³
+London,GB,2019-06-06 20:00:00+00:00,London Westminster,pm25,6.0,µg/m³
+London,GB,2019-06-06 19:00:00+00:00,London Westminster,pm25,6.0,µg/m³
+London,GB,2019-06-06 18:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-06-06 17:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-06-06 16:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-06-06 15:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-06-06 14:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-06-06 13:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-06-06 12:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-06-06 11:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-06-06 10:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-06-06 09:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-06-06 08:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-06-06 07:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-06-06 06:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-06-06 05:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-06-06 04:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-06-06 03:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-06-06 02:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-06-06 00:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-06-05 23:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-06-05 22:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-06-05 21:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-06-05 20:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-06-05 19:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-06-05 18:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-06-05 17:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-06-05 16:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-06-05 15:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-06-05 14:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-06-05 13:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-06-05 12:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-06-05 11:00:00+00:00,London Westminster,pm25,9.0,µg/m³
+London,GB,2019-06-05 10:00:00+00:00,London Westminster,pm25,9.0,µg/m³
+London,GB,2019-06-05 09:00:00+00:00,London Westminster,pm25,9.0,µg/m³
+London,GB,2019-06-05 08:00:00+00:00,London Westminster,pm25,9.0,µg/m³
+London,GB,2019-06-05 07:00:00+00:00,London Westminster,pm25,9.0,µg/m³
+London,GB,2019-06-05 06:00:00+00:00,London Westminster,pm25,9.0,µg/m³
+London,GB,2019-06-05 05:00:00+00:00,London Westminster,pm25,9.0,µg/m³
+London,GB,2019-06-05 04:00:00+00:00,London Westminster,pm25,10.0,µg/m³
+London,GB,2019-06-05 03:00:00+00:00,London Westminster,pm25,10.0,µg/m³
+London,GB,2019-06-05 02:00:00+00:00,London Westminster,pm25,10.0,µg/m³
+London,GB,2019-06-05 01:00:00+00:00,London Westminster,pm25,9.0,µg/m³
+London,GB,2019-06-05 00:00:00+00:00,London Westminster,pm25,9.0,µg/m³
+London,GB,2019-06-04 23:00:00+00:00,London Westminster,pm25,9.0,µg/m³
+London,GB,2019-06-04 22:00:00+00:00,London Westminster,pm25,10.0,µg/m³
+London,GB,2019-06-04 21:00:00+00:00,London Westminster,pm25,10.0,µg/m³
+London,GB,2019-06-04 20:00:00+00:00,London Westminster,pm25,10.0,µg/m³
+London,GB,2019-06-04 19:00:00+00:00,London Westminster,pm25,10.0,µg/m³
+London,GB,2019-06-04 18:00:00+00:00,London Westminster,pm25,10.0,µg/m³
+London,GB,2019-06-04 17:00:00+00:00,London Westminster,pm25,9.0,µg/m³
+London,GB,2019-06-04 16:00:00+00:00,London Westminster,pm25,9.0,µg/m³
+London,GB,2019-06-04 15:00:00+00:00,London Westminster,pm25,9.0,µg/m³
+London,GB,2019-06-04 14:00:00+00:00,London Westminster,pm25,9.0,µg/m³
+London,GB,2019-06-04 13:00:00+00:00,London Westminster,pm25,9.0,µg/m³
+London,GB,2019-06-04 12:00:00+00:00,London Westminster,pm25,9.0,µg/m³
+London,GB,2019-06-04 11:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-06-04 10:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-06-04 09:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-06-04 08:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-06-04 07:00:00+00:00,London Westminster,pm25,9.0,µg/m³
+London,GB,2019-06-04 06:00:00+00:00,London Westminster,pm25,9.0,µg/m³
+London,GB,2019-06-04 05:00:00+00:00,London Westminster,pm25,9.0,µg/m³
+London,GB,2019-06-04 04:00:00+00:00,London Westminster,pm25,9.0,µg/m³
+London,GB,2019-06-04 03:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-06-04 02:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-06-04 01:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-06-04 00:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-06-03 23:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-06-03 22:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-06-03 21:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-06-03 20:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-06-03 19:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-06-03 18:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-06-03 17:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-06-03 16:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-06-03 15:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-06-03 14:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-06-03 13:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-06-03 12:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-06-03 11:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-06-03 10:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-06-03 09:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-06-03 08:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-06-03 07:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-06-03 06:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-06-03 05:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-06-03 04:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-06-03 03:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-06-03 02:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-06-03 01:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-06-03 00:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-06-02 23:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-06-02 22:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-06-02 21:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-06-02 20:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-06-02 19:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-06-02 18:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-06-02 17:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-06-02 16:00:00+00:00,London Westminster,pm25,9.0,µg/m³
+London,GB,2019-06-02 15:00:00+00:00,London Westminster,pm25,9.0,µg/m³
+London,GB,2019-06-02 14:00:00+00:00,London Westminster,pm25,9.0,µg/m³
+London,GB,2019-06-02 13:00:00+00:00,London Westminster,pm25,9.0,µg/m³
+London,GB,2019-06-02 12:00:00+00:00,London Westminster,pm25,9.0,µg/m³
+London,GB,2019-06-02 11:00:00+00:00,London Westminster,pm25,9.0,µg/m³
+London,GB,2019-06-02 10:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-06-02 09:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-06-02 08:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-06-02 07:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-06-02 06:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-06-02 05:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-06-02 04:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-06-02 03:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-06-02 02:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-06-02 01:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-06-02 00:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-06-01 23:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-06-01 22:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-06-01 21:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-06-01 20:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-06-01 19:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-06-01 18:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-06-01 17:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-06-01 16:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-06-01 15:00:00+00:00,London Westminster,pm25,6.0,µg/m³
+London,GB,2019-06-01 14:00:00+00:00,London Westminster,pm25,6.0,µg/m³
+London,GB,2019-06-01 13:00:00+00:00,London Westminster,pm25,6.0,µg/m³
+London,GB,2019-06-01 12:00:00+00:00,London Westminster,pm25,6.0,µg/m³
+London,GB,2019-06-01 11:00:00+00:00,London Westminster,pm25,6.0,µg/m³
+London,GB,2019-06-01 10:00:00+00:00,London Westminster,pm25,6.0,µg/m³
+London,GB,2019-06-01 09:00:00+00:00,London Westminster,pm25,6.0,µg/m³
+London,GB,2019-06-01 08:00:00+00:00,London Westminster,pm25,6.0,µg/m³
+London,GB,2019-06-01 07:00:00+00:00,London Westminster,pm25,6.0,µg/m³
+London,GB,2019-06-01 06:00:00+00:00,London Westminster,pm25,6.0,µg/m³
+London,GB,2019-06-01 05:00:00+00:00,London Westminster,pm25,6.0,µg/m³
+London,GB,2019-06-01 04:00:00+00:00,London Westminster,pm25,6.0,µg/m³
+London,GB,2019-06-01 03:00:00+00:00,London Westminster,pm25,6.0,µg/m³
+London,GB,2019-06-01 02:00:00+00:00,London Westminster,pm25,6.0,µg/m³
+London,GB,2019-06-01 01:00:00+00:00,London Westminster,pm25,6.0,µg/m³
+London,GB,2019-06-01 00:00:00+00:00,London Westminster,pm25,6.0,µg/m³
+London,GB,2019-05-31 23:00:00+00:00,London Westminster,pm25,6.0,µg/m³
+London,GB,2019-05-31 22:00:00+00:00,London Westminster,pm25,5.0,µg/m³
+London,GB,2019-05-31 21:00:00+00:00,London Westminster,pm25,6.0,µg/m³
+London,GB,2019-05-31 20:00:00+00:00,London Westminster,pm25,6.0,µg/m³
+London,GB,2019-05-31 19:00:00+00:00,London Westminster,pm25,6.0,µg/m³
+London,GB,2019-05-31 18:00:00+00:00,London Westminster,pm25,6.0,µg/m³
+London,GB,2019-05-31 17:00:00+00:00,London Westminster,pm25,6.0,µg/m³
+London,GB,2019-05-31 16:00:00+00:00,London Westminster,pm25,6.0,µg/m³
+London,GB,2019-05-31 15:00:00+00:00,London Westminster,pm25,6.0,µg/m³
+London,GB,2019-05-31 14:00:00+00:00,London Westminster,pm25,6.0,µg/m³
+London,GB,2019-05-31 13:00:00+00:00,London Westminster,pm25,6.0,µg/m³
+London,GB,2019-05-31 12:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-05-31 11:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-05-31 10:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-05-31 09:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-05-31 08:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-05-31 07:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-05-31 06:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-05-31 05:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-05-31 04:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-05-31 03:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-05-31 02:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-05-31 01:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-05-31 00:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-05-30 23:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-05-30 22:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-05-30 21:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-05-30 20:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-05-30 19:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-05-30 18:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-05-30 17:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-05-30 16:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-05-30 15:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-05-30 14:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-05-30 13:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-05-30 12:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-05-30 11:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-05-30 10:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-05-30 09:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-05-30 08:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-05-30 07:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-05-30 06:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-05-30 05:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-05-30 04:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-05-30 03:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-05-30 02:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-05-30 01:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-05-30 00:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-05-29 23:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-05-29 22:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-05-29 21:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-05-29 20:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-05-29 19:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-05-29 18:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-05-29 17:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-05-29 16:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-05-29 15:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-05-29 14:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-05-29 13:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-05-29 12:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-05-29 11:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-05-29 10:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-05-29 09:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-05-29 08:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-05-29 07:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-05-29 06:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-05-29 05:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-05-29 04:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-05-29 03:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-05-29 02:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-05-29 01:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-05-29 00:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-05-28 23:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-05-28 21:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-05-28 20:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-05-28 19:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-05-28 18:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-05-28 17:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-05-28 16:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-05-28 15:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-05-28 14:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-05-28 13:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-05-28 12:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-05-28 11:00:00+00:00,London Westminster,pm25,6.0,µg/m³
+London,GB,2019-05-28 10:00:00+00:00,London Westminster,pm25,6.0,µg/m³
+London,GB,2019-05-28 09:00:00+00:00,London Westminster,pm25,6.0,µg/m³
+London,GB,2019-05-28 08:00:00+00:00,London Westminster,pm25,6.0,µg/m³
+London,GB,2019-05-28 07:00:00+00:00,London Westminster,pm25,6.0,µg/m³
+London,GB,2019-05-28 06:00:00+00:00,London Westminster,pm25,6.0,µg/m³
+London,GB,2019-05-28 05:00:00+00:00,London Westminster,pm25,6.0,µg/m³
+London,GB,2019-05-28 04:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-05-28 03:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-05-28 02:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-05-28 01:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-05-28 00:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-05-27 23:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-05-27 22:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-05-27 21:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-05-27 20:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-05-27 19:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-05-27 18:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-05-27 17:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-05-27 16:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-05-27 15:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-05-27 14:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-05-27 13:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-05-27 12:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-05-27 11:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-05-27 10:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-05-27 09:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-05-27 08:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-05-27 07:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-05-27 06:00:00+00:00,London Westminster,pm25,6.0,µg/m³
+London,GB,2019-05-27 05:00:00+00:00,London Westminster,pm25,6.0,µg/m³
+London,GB,2019-05-27 04:00:00+00:00,London Westminster,pm25,6.0,µg/m³
+London,GB,2019-05-27 03:00:00+00:00,London Westminster,pm25,6.0,µg/m³
+London,GB,2019-05-27 02:00:00+00:00,London Westminster,pm25,6.0,µg/m³
+London,GB,2019-05-27 01:00:00+00:00,London Westminster,pm25,6.0,µg/m³
+London,GB,2019-05-27 00:00:00+00:00,London Westminster,pm25,6.0,µg/m³
+London,GB,2019-05-26 23:00:00+00:00,London Westminster,pm25,6.0,µg/m³
+London,GB,2019-05-26 22:00:00+00:00,London Westminster,pm25,6.0,µg/m³
+London,GB,2019-05-26 21:00:00+00:00,London Westminster,pm25,6.0,µg/m³
+London,GB,2019-05-26 20:00:00+00:00,London Westminster,pm25,6.0,µg/m³
+London,GB,2019-05-26 19:00:00+00:00,London Westminster,pm25,6.0,µg/m³
+London,GB,2019-05-26 18:00:00+00:00,London Westminster,pm25,6.0,µg/m³
+London,GB,2019-05-26 17:00:00+00:00,London Westminster,pm25,6.0,µg/m³
+London,GB,2019-05-26 16:00:00+00:00,London Westminster,pm25,6.0,µg/m³
+London,GB,2019-05-26 15:00:00+00:00,London Westminster,pm25,6.0,µg/m³
+London,GB,2019-05-26 14:00:00+00:00,London Westminster,pm25,6.0,µg/m³
+London,GB,2019-05-26 13:00:00+00:00,London Westminster,pm25,6.0,µg/m³
+London,GB,2019-05-26 12:00:00+00:00,London Westminster,pm25,6.0,µg/m³
+London,GB,2019-05-26 11:00:00+00:00,London Westminster,pm25,6.0,µg/m³
+London,GB,2019-05-26 10:00:00+00:00,London Westminster,pm25,6.0,µg/m³
+London,GB,2019-05-26 09:00:00+00:00,London Westminster,pm25,6.0,µg/m³
+London,GB,2019-05-26 08:00:00+00:00,London Westminster,pm25,6.0,µg/m³
+London,GB,2019-05-26 07:00:00+00:00,London Westminster,pm25,6.0,µg/m³
+London,GB,2019-05-26 06:00:00+00:00,London Westminster,pm25,6.0,µg/m³
+London,GB,2019-05-26 05:00:00+00:00,London Westminster,pm25,6.0,µg/m³
+London,GB,2019-05-26 04:00:00+00:00,London Westminster,pm25,6.0,µg/m³
+London,GB,2019-05-26 03:00:00+00:00,London Westminster,pm25,6.0,µg/m³
+London,GB,2019-05-26 02:00:00+00:00,London Westminster,pm25,6.0,µg/m³
+London,GB,2019-05-26 01:00:00+00:00,London Westminster,pm25,6.0,µg/m³
+London,GB,2019-05-26 00:00:00+00:00,London Westminster,pm25,6.0,µg/m³
+London,GB,2019-05-25 23:00:00+00:00,London Westminster,pm25,6.0,µg/m³
+London,GB,2019-05-25 22:00:00+00:00,London Westminster,pm25,6.0,µg/m³
+London,GB,2019-05-25 21:00:00+00:00,London Westminster,pm25,6.0,µg/m³
+London,GB,2019-05-25 20:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-05-25 19:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-05-25 18:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-05-25 17:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-05-25 16:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-05-25 15:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-05-25 14:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-05-25 13:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-05-25 12:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-05-25 11:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-05-25 10:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-05-25 09:00:00+00:00,London Westminster,pm25,9.0,µg/m³
+London,GB,2019-05-25 08:00:00+00:00,London Westminster,pm25,9.0,µg/m³
+London,GB,2019-05-25 07:00:00+00:00,London Westminster,pm25,9.0,µg/m³
+London,GB,2019-05-25 06:00:00+00:00,London Westminster,pm25,9.0,µg/m³
+London,GB,2019-05-25 05:00:00+00:00,London Westminster,pm25,9.0,µg/m³
+London,GB,2019-05-25 04:00:00+00:00,London Westminster,pm25,9.0,µg/m³
+London,GB,2019-05-25 03:00:00+00:00,London Westminster,pm25,10.0,µg/m³
+London,GB,2019-05-25 02:00:00+00:00,London Westminster,pm25,10.0,µg/m³
+London,GB,2019-05-25 01:00:00+00:00,London Westminster,pm25,10.0,µg/m³
+London,GB,2019-05-25 00:00:00+00:00,London Westminster,pm25,10.0,µg/m³
+London,GB,2019-05-24 23:00:00+00:00,London Westminster,pm25,10.0,µg/m³
+London,GB,2019-05-24 22:00:00+00:00,London Westminster,pm25,10.0,µg/m³
+London,GB,2019-05-24 21:00:00+00:00,London Westminster,pm25,9.0,µg/m³
+London,GB,2019-05-24 20:00:00+00:00,London Westminster,pm25,9.0,µg/m³
+London,GB,2019-05-24 19:00:00+00:00,London Westminster,pm25,9.0,µg/m³
+London,GB,2019-05-24 18:00:00+00:00,London Westminster,pm25,9.0,µg/m³
+London,GB,2019-05-24 17:00:00+00:00,London Westminster,pm25,9.0,µg/m³
+London,GB,2019-05-24 16:00:00+00:00,London Westminster,pm25,9.0,µg/m³
+London,GB,2019-05-24 15:00:00+00:00,London Westminster,pm25,9.0,µg/m³
+London,GB,2019-05-24 14:00:00+00:00,London Westminster,pm25,9.0,µg/m³
+London,GB,2019-05-24 13:00:00+00:00,London Westminster,pm25,9.0,µg/m³
+London,GB,2019-05-24 12:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-05-24 11:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-05-24 10:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-05-24 09:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-05-24 08:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-05-24 07:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-05-24 06:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-05-24 05:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-05-24 04:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-05-24 03:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-05-24 02:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-05-24 00:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-05-23 23:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-05-23 22:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-05-23 21:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-05-23 20:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-05-23 19:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-05-23 18:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-05-23 17:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-05-23 16:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-05-23 15:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-05-23 14:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-05-23 13:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-05-23 12:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-05-23 11:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-05-23 10:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-05-23 09:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-05-23 08:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-05-23 07:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-05-23 06:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-05-23 05:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-05-23 04:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-05-23 03:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-05-23 02:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-05-23 01:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-05-23 00:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-05-22 23:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-05-22 22:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-05-22 21:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-05-22 20:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-05-22 19:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-05-22 18:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-05-22 17:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-05-22 16:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-05-22 15:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-05-22 14:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-05-22 13:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-05-22 12:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-05-22 11:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-05-22 10:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-05-22 09:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-05-22 08:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-05-22 07:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-05-22 06:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-05-22 05:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-05-22 04:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-05-22 03:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-05-22 02:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-05-22 01:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-05-22 00:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-05-21 23:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-05-21 22:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-05-21 21:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-05-21 20:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-05-21 19:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-05-21 18:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-05-21 17:00:00+00:00,London Westminster,pm25,9.0,µg/m³
+London,GB,2019-05-21 16:00:00+00:00,London Westminster,pm25,9.0,µg/m³
+London,GB,2019-05-21 15:00:00+00:00,London Westminster,pm25,9.0,µg/m³
+London,GB,2019-05-21 14:00:00+00:00,London Westminster,pm25,9.0,µg/m³
+London,GB,2019-05-21 13:00:00+00:00,London Westminster,pm25,9.0,µg/m³
+London,GB,2019-05-21 12:00:00+00:00,London Westminster,pm25,9.0,µg/m³
+London,GB,2019-05-21 11:00:00+00:00,London Westminster,pm25,9.0,µg/m³
+London,GB,2019-05-21 10:00:00+00:00,London Westminster,pm25,10.0,µg/m³
+London,GB,2019-05-21 09:00:00+00:00,London Westminster,pm25,10.0,µg/m³
+London,GB,2019-05-21 08:00:00+00:00,London Westminster,pm25,10.0,µg/m³
+London,GB,2019-05-21 07:00:00+00:00,London Westminster,pm25,11.0,µg/m³
+London,GB,2019-05-21 06:00:00+00:00,London Westminster,pm25,11.0,µg/m³
+London,GB,2019-05-21 05:00:00+00:00,London Westminster,pm25,11.0,µg/m³
+London,GB,2019-05-21 04:00:00+00:00,London Westminster,pm25,12.0,µg/m³
+London,GB,2019-05-21 03:00:00+00:00,London Westminster,pm25,12.0,µg/m³
+London,GB,2019-05-21 02:00:00+00:00,London Westminster,pm25,13.0,µg/m³
+London,GB,2019-05-21 01:00:00+00:00,London Westminster,pm25,13.0,µg/m³
+London,GB,2019-05-21 00:00:00+00:00,London Westminster,pm25,14.0,µg/m³
+London,GB,2019-05-20 23:00:00+00:00,London Westminster,pm25,14.0,µg/m³
+London,GB,2019-05-20 22:00:00+00:00,London Westminster,pm25,14.0,µg/m³
+London,GB,2019-05-20 21:00:00+00:00,London Westminster,pm25,14.0,µg/m³
+London,GB,2019-05-20 20:00:00+00:00,London Westminster,pm25,14.0,µg/m³
+London,GB,2019-05-20 19:00:00+00:00,London Westminster,pm25,14.0,µg/m³
+London,GB,2019-05-20 18:00:00+00:00,London Westminster,pm25,14.0,µg/m³
+London,GB,2019-05-20 17:00:00+00:00,London Westminster,pm25,15.0,µg/m³
+London,GB,2019-05-20 16:00:00+00:00,London Westminster,pm25,15.0,µg/m³
+London,GB,2019-05-20 15:00:00+00:00,London Westminster,pm25,16.0,µg/m³
+London,GB,2019-05-20 14:00:00+00:00,London Westminster,pm25,16.0,µg/m³
+London,GB,2019-05-20 13:00:00+00:00,London Westminster,pm25,16.0,µg/m³
+London,GB,2019-05-20 12:00:00+00:00,London Westminster,pm25,16.0,µg/m³
+London,GB,2019-05-20 11:00:00+00:00,London Westminster,pm25,16.0,µg/m³
+London,GB,2019-05-20 10:00:00+00:00,London Westminster,pm25,17.0,µg/m³
+London,GB,2019-05-20 09:00:00+00:00,London Westminster,pm25,16.0,µg/m³
+London,GB,2019-05-20 08:00:00+00:00,London Westminster,pm25,17.0,µg/m³
+London,GB,2019-05-20 07:00:00+00:00,London Westminster,pm25,17.0,µg/m³
+London,GB,2019-05-20 06:00:00+00:00,London Westminster,pm25,18.0,µg/m³
+London,GB,2019-05-20 05:00:00+00:00,London Westminster,pm25,18.0,µg/m³
+London,GB,2019-05-20 04:00:00+00:00,London Westminster,pm25,19.0,µg/m³
+London,GB,2019-05-20 03:00:00+00:00,London Westminster,pm25,19.0,µg/m³
+London,GB,2019-05-20 02:00:00+00:00,London Westminster,pm25,19.0,µg/m³
+London,GB,2019-05-20 01:00:00+00:00,London Westminster,pm25,19.0,µg/m³
+London,GB,2019-05-20 00:00:00+00:00,London Westminster,pm25,19.0,µg/m³
+London,GB,2019-05-19 23:00:00+00:00,London Westminster,pm25,19.0,µg/m³
+London,GB,2019-05-19 22:00:00+00:00,London Westminster,pm25,20.0,µg/m³
+London,GB,2019-05-19 21:00:00+00:00,London Westminster,pm25,20.0,µg/m³
+London,GB,2019-05-19 20:00:00+00:00,London Westminster,pm25,20.0,µg/m³
+London,GB,2019-05-19 19:00:00+00:00,London Westminster,pm25,20.0,µg/m³
+London,GB,2019-05-19 18:00:00+00:00,London Westminster,pm25,19.0,µg/m³
+London,GB,2019-05-19 17:00:00+00:00,London Westminster,pm25,20.0,µg/m³
+London,GB,2019-05-19 16:00:00+00:00,London Westminster,pm25,20.0,µg/m³
+London,GB,2019-05-19 15:00:00+00:00,London Westminster,pm25,19.0,µg/m³
+London,GB,2019-05-19 14:00:00+00:00,London Westminster,pm25,19.0,µg/m³
+London,GB,2019-05-19 13:00:00+00:00,London Westminster,pm25,19.0,µg/m³
+London,GB,2019-05-19 12:00:00+00:00,London Westminster,pm25,19.0,µg/m³
+London,GB,2019-05-19 11:00:00+00:00,London Westminster,pm25,19.0,µg/m³
+London,GB,2019-05-19 10:00:00+00:00,London Westminster,pm25,19.0,µg/m³
+London,GB,2019-05-19 09:00:00+00:00,London Westminster,pm25,19.0,µg/m³
+London,GB,2019-05-19 08:00:00+00:00,London Westminster,pm25,19.0,µg/m³
+London,GB,2019-05-19 07:00:00+00:00,London Westminster,pm25,19.0,µg/m³
+London,GB,2019-05-19 06:00:00+00:00,London Westminster,pm25,19.0,µg/m³
+London,GB,2019-05-19 05:00:00+00:00,London Westminster,pm25,18.0,µg/m³
+London,GB,2019-05-19 04:00:00+00:00,London Westminster,pm25,18.0,µg/m³
+London,GB,2019-05-19 03:00:00+00:00,London Westminster,pm25,18.0,µg/m³
+London,GB,2019-05-19 02:00:00+00:00,London Westminster,pm25,18.0,µg/m³
+London,GB,2019-05-19 01:00:00+00:00,London Westminster,pm25,18.0,µg/m³
+London,GB,2019-05-19 00:00:00+00:00,London Westminster,pm25,18.0,µg/m³
+London,GB,2019-05-18 23:00:00+00:00,London Westminster,pm25,18.0,µg/m³
+London,GB,2019-05-18 22:00:00+00:00,London Westminster,pm25,18.0,µg/m³
+London,GB,2019-05-18 21:00:00+00:00,London Westminster,pm25,18.0,µg/m³
+London,GB,2019-05-18 20:00:00+00:00,London Westminster,pm25,18.0,µg/m³
+London,GB,2019-05-18 19:00:00+00:00,London Westminster,pm25,18.0,µg/m³
+London,GB,2019-05-18 18:00:00+00:00,London Westminster,pm25,18.0,µg/m³
+London,GB,2019-05-18 17:00:00+00:00,London Westminster,pm25,18.0,µg/m³
+London,GB,2019-05-18 16:00:00+00:00,London Westminster,pm25,17.0,µg/m³
+London,GB,2019-05-18 15:00:00+00:00,London Westminster,pm25,17.0,µg/m³
+London,GB,2019-05-18 14:00:00+00:00,London Westminster,pm25,17.0,µg/m³
+London,GB,2019-05-18 13:00:00+00:00,London Westminster,pm25,17.0,µg/m³
+London,GB,2019-05-18 12:00:00+00:00,London Westminster,pm25,17.0,µg/m³
+London,GB,2019-05-18 11:00:00+00:00,London Westminster,pm25,17.0,µg/m³
+London,GB,2019-05-18 10:00:00+00:00,London Westminster,pm25,17.0,µg/m³
+London,GB,2019-05-18 09:00:00+00:00,London Westminster,pm25,16.0,µg/m³
+London,GB,2019-05-18 08:00:00+00:00,London Westminster,pm25,16.0,µg/m³
+London,GB,2019-05-18 07:00:00+00:00,London Westminster,pm25,15.0,µg/m³
+London,GB,2019-05-18 06:00:00+00:00,London Westminster,pm25,15.0,µg/m³
+London,GB,2019-05-18 05:00:00+00:00,London Westminster,pm25,14.0,µg/m³
+London,GB,2019-05-18 04:00:00+00:00,London Westminster,pm25,14.0,µg/m³
+London,GB,2019-05-18 03:00:00+00:00,London Westminster,pm25,14.0,µg/m³
+London,GB,2019-05-18 02:00:00+00:00,London Westminster,pm25,13.0,µg/m³
+London,GB,2019-05-18 01:00:00+00:00,London Westminster,pm25,12.0,µg/m³
+London,GB,2019-05-18 00:00:00+00:00,London Westminster,pm25,12.0,µg/m³
+London,GB,2019-05-17 23:00:00+00:00,London Westminster,pm25,12.0,µg/m³
+London,GB,2019-05-17 22:00:00+00:00,London Westminster,pm25,11.0,µg/m³
+London,GB,2019-05-17 21:00:00+00:00,London Westminster,pm25,11.0,µg/m³
+London,GB,2019-05-17 20:00:00+00:00,London Westminster,pm25,11.0,µg/m³
+London,GB,2019-05-17 19:00:00+00:00,London Westminster,pm25,11.0,µg/m³
+London,GB,2019-05-17 18:00:00+00:00,London Westminster,pm25,10.0,µg/m³
+London,GB,2019-05-17 17:00:00+00:00,London Westminster,pm25,10.0,µg/m³
+London,GB,2019-05-17 16:00:00+00:00,London Westminster,pm25,10.0,µg/m³
+London,GB,2019-05-17 15:00:00+00:00,London Westminster,pm25,10.0,µg/m³
+London,GB,2019-05-17 14:00:00+00:00,London Westminster,pm25,9.0,µg/m³
+London,GB,2019-05-17 13:00:00+00:00,London Westminster,pm25,9.0,µg/m³
+London,GB,2019-05-17 12:00:00+00:00,London Westminster,pm25,9.0,µg/m³
+London,GB,2019-05-17 11:00:00+00:00,London Westminster,pm25,9.0,µg/m³
+London,GB,2019-05-17 10:00:00+00:00,London Westminster,pm25,9.0,µg/m³
+London,GB,2019-05-17 09:00:00+00:00,London Westminster,pm25,9.0,µg/m³
+London,GB,2019-05-17 08:00:00+00:00,London Westminster,pm25,10.0,µg/m³
+London,GB,2019-05-17 07:00:00+00:00,London Westminster,pm25,10.0,µg/m³
+London,GB,2019-05-17 06:00:00+00:00,London Westminster,pm25,10.0,µg/m³
+London,GB,2019-05-17 05:00:00+00:00,London Westminster,pm25,10.0,µg/m³
+London,GB,2019-05-17 04:00:00+00:00,London Westminster,pm25,10.0,µg/m³
+London,GB,2019-05-17 03:00:00+00:00,London Westminster,pm25,10.0,µg/m³
+London,GB,2019-05-17 02:00:00+00:00,London Westminster,pm25,10.0,µg/m³
+London,GB,2019-05-17 01:00:00+00:00,London Westminster,pm25,11.0,µg/m³
+London,GB,2019-05-17 00:00:00+00:00,London Westminster,pm25,11.0,µg/m³
+London,GB,2019-05-16 23:00:00+00:00,London Westminster,pm25,11.0,µg/m³
+London,GB,2019-05-16 22:00:00+00:00,London Westminster,pm25,12.0,µg/m³
+London,GB,2019-05-16 21:00:00+00:00,London Westminster,pm25,12.0,µg/m³
+London,GB,2019-05-16 20:00:00+00:00,London Westminster,pm25,13.0,µg/m³
+London,GB,2019-05-16 19:00:00+00:00,London Westminster,pm25,13.0,µg/m³
+London,GB,2019-05-16 18:00:00+00:00,London Westminster,pm25,13.0,µg/m³
+London,GB,2019-05-16 17:00:00+00:00,London Westminster,pm25,13.0,µg/m³
+London,GB,2019-05-16 16:00:00+00:00,London Westminster,pm25,14.0,µg/m³
+London,GB,2019-05-16 15:00:00+00:00,London Westminster,pm25,14.0,µg/m³
+London,GB,2019-05-16 14:00:00+00:00,London Westminster,pm25,14.0,µg/m³
+London,GB,2019-05-16 13:00:00+00:00,London Westminster,pm25,15.0,µg/m³
+London,GB,2019-05-16 12:00:00+00:00,London Westminster,pm25,15.0,µg/m³
+London,GB,2019-05-16 11:00:00+00:00,London Westminster,pm25,15.0,µg/m³
+London,GB,2019-05-16 10:00:00+00:00,London Westminster,pm25,15.0,µg/m³
+London,GB,2019-05-16 09:00:00+00:00,London Westminster,pm25,15.0,µg/m³
+London,GB,2019-05-16 08:00:00+00:00,London Westminster,pm25,15.0,µg/m³
+London,GB,2019-05-16 07:00:00+00:00,London Westminster,pm25,15.0,µg/m³
+London,GB,2019-05-16 06:00:00+00:00,London Westminster,pm25,15.0,µg/m³
+London,GB,2019-05-16 05:00:00+00:00,London Westminster,pm25,15.0,µg/m³
+London,GB,2019-05-16 04:00:00+00:00,London Westminster,pm25,15.0,µg/m³
+London,GB,2019-05-16 03:00:00+00:00,London Westminster,pm25,15.0,µg/m³
+London,GB,2019-05-16 02:00:00+00:00,London Westminster,pm25,14.0,µg/m³
+London,GB,2019-05-16 01:00:00+00:00,London Westminster,pm25,14.0,µg/m³
+London,GB,2019-05-16 00:00:00+00:00,London Westminster,pm25,14.0,µg/m³
+London,GB,2019-05-15 23:00:00+00:00,London Westminster,pm25,14.0,µg/m³
+London,GB,2019-05-15 22:00:00+00:00,London Westminster,pm25,13.0,µg/m³
+London,GB,2019-05-15 21:00:00+00:00,London Westminster,pm25,13.0,µg/m³
+London,GB,2019-05-15 20:00:00+00:00,London Westminster,pm25,13.0,µg/m³
+London,GB,2019-05-15 19:00:00+00:00,London Westminster,pm25,12.0,µg/m³
+London,GB,2019-05-15 18:00:00+00:00,London Westminster,pm25,12.0,µg/m³
+London,GB,2019-05-15 17:00:00+00:00,London Westminster,pm25,12.0,µg/m³
+London,GB,2019-05-15 16:00:00+00:00,London Westminster,pm25,12.0,µg/m³
+London,GB,2019-05-15 15:00:00+00:00,London Westminster,pm25,11.0,µg/m³
+London,GB,2019-05-15 14:00:00+00:00,London Westminster,pm25,11.0,µg/m³
+London,GB,2019-05-15 13:00:00+00:00,London Westminster,pm25,11.0,µg/m³
+London,GB,2019-05-15 12:00:00+00:00,London Westminster,pm25,11.0,µg/m³
+London,GB,2019-05-15 11:00:00+00:00,London Westminster,pm25,10.0,µg/m³
+London,GB,2019-05-15 10:00:00+00:00,London Westminster,pm25,10.0,µg/m³
+London,GB,2019-05-15 09:00:00+00:00,London Westminster,pm25,10.0,µg/m³
+London,GB,2019-05-15 08:00:00+00:00,London Westminster,pm25,9.0,µg/m³
+London,GB,2019-05-15 07:00:00+00:00,London Westminster,pm25,9.0,µg/m³
+London,GB,2019-05-15 06:00:00+00:00,London Westminster,pm25,9.0,µg/m³
+London,GB,2019-05-15 05:00:00+00:00,London Westminster,pm25,9.0,µg/m³
+London,GB,2019-05-15 04:00:00+00:00,London Westminster,pm25,9.0,µg/m³
+London,GB,2019-05-15 03:00:00+00:00,London Westminster,pm25,9.0,µg/m³
+London,GB,2019-05-15 02:00:00+00:00,London Westminster,pm25,9.0,µg/m³
+London,GB,2019-05-15 00:00:00+00:00,London Westminster,pm25,9.0,µg/m³
+London,GB,2019-05-14 23:00:00+00:00,London Westminster,pm25,9.0,µg/m³
+London,GB,2019-05-14 22:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-05-14 21:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-05-14 20:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-05-14 19:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-05-14 18:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-05-14 17:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-05-14 16:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-05-14 15:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-05-14 14:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-05-14 13:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-05-14 12:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-05-14 11:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-05-14 10:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-05-14 09:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-05-14 08:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-05-14 07:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-05-14 06:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-05-14 05:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-05-14 04:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-05-14 03:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-05-14 02:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-05-14 01:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-05-14 00:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-05-13 23:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-05-13 22:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-05-13 21:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-05-13 20:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-05-13 19:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-05-13 18:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-05-13 17:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-05-13 16:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-05-13 15:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-05-13 14:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-05-13 13:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-05-13 12:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-05-13 11:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-05-13 10:00:00+00:00,London Westminster,pm25,6.0,µg/m³
+London,GB,2019-05-13 09:00:00+00:00,London Westminster,pm25,6.0,µg/m³
+London,GB,2019-05-13 08:00:00+00:00,London Westminster,pm25,6.0,µg/m³
+London,GB,2019-05-13 07:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-05-13 06:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-05-13 05:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-05-13 04:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-05-13 03:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-05-13 02:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-05-13 01:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-05-13 00:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-05-12 23:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-05-12 22:00:00+00:00,London Westminster,pm25,9.0,µg/m³
+London,GB,2019-05-12 21:00:00+00:00,London Westminster,pm25,9.0,µg/m³
+London,GB,2019-05-12 20:00:00+00:00,London Westminster,pm25,9.0,µg/m³
+London,GB,2019-05-12 19:00:00+00:00,London Westminster,pm25,9.0,µg/m³
+London,GB,2019-05-12 18:00:00+00:00,London Westminster,pm25,9.0,µg/m³
+London,GB,2019-05-12 17:00:00+00:00,London Westminster,pm25,9.0,µg/m³
+London,GB,2019-05-12 16:00:00+00:00,London Westminster,pm25,9.0,µg/m³
+London,GB,2019-05-12 15:00:00+00:00,London Westminster,pm25,9.0,µg/m³
+London,GB,2019-05-12 14:00:00+00:00,London Westminster,pm25,9.0,µg/m³
+London,GB,2019-05-12 13:00:00+00:00,London Westminster,pm25,10.0,µg/m³
+London,GB,2019-05-12 12:00:00+00:00,London Westminster,pm25,10.0,µg/m³
+London,GB,2019-05-12 11:00:00+00:00,London Westminster,pm25,10.0,µg/m³
+London,GB,2019-05-12 10:00:00+00:00,London Westminster,pm25,11.0,µg/m³
+London,GB,2019-05-12 09:00:00+00:00,London Westminster,pm25,11.0,µg/m³
+London,GB,2019-05-12 08:00:00+00:00,London Westminster,pm25,11.0,µg/m³
+London,GB,2019-05-12 07:00:00+00:00,London Westminster,pm25,11.0,µg/m³
+London,GB,2019-05-12 06:00:00+00:00,London Westminster,pm25,12.0,µg/m³
+London,GB,2019-05-12 05:00:00+00:00,London Westminster,pm25,12.0,µg/m³
+London,GB,2019-05-12 04:00:00+00:00,London Westminster,pm25,12.0,µg/m³
+London,GB,2019-05-12 03:00:00+00:00,London Westminster,pm25,13.0,µg/m³
+London,GB,2019-05-12 02:00:00+00:00,London Westminster,pm25,13.0,µg/m³
+London,GB,2019-05-12 01:00:00+00:00,London Westminster,pm25,13.0,µg/m³
+London,GB,2019-05-12 00:00:00+00:00,London Westminster,pm25,14.0,µg/m³
+London,GB,2019-05-11 23:00:00+00:00,London Westminster,pm25,14.0,µg/m³
+London,GB,2019-05-11 22:00:00+00:00,London Westminster,pm25,13.0,µg/m³
+London,GB,2019-05-11 21:00:00+00:00,London Westminster,pm25,13.0,µg/m³
+London,GB,2019-05-11 20:00:00+00:00,London Westminster,pm25,13.0,µg/m³
+London,GB,2019-05-11 19:00:00+00:00,London Westminster,pm25,13.0,µg/m³
+London,GB,2019-05-11 18:00:00+00:00,London Westminster,pm25,13.0,µg/m³
+London,GB,2019-05-11 17:00:00+00:00,London Westminster,pm25,13.0,µg/m³
+London,GB,2019-05-11 16:00:00+00:00,London Westminster,pm25,13.0,µg/m³
+London,GB,2019-05-11 15:00:00+00:00,London Westminster,pm25,14.0,µg/m³
+London,GB,2019-05-11 09:00:00+00:00,London Westminster,pm25,13.0,µg/m³
+London,GB,2019-05-11 08:00:00+00:00,London Westminster,pm25,13.0,µg/m³
+London,GB,2019-05-11 07:00:00+00:00,London Westminster,pm25,13.0,µg/m³
+London,GB,2019-05-11 06:00:00+00:00,London Westminster,pm25,12.0,µg/m³
+London,GB,2019-05-11 05:00:00+00:00,London Westminster,pm25,12.0,µg/m³
+London,GB,2019-05-11 04:00:00+00:00,London Westminster,pm25,11.0,µg/m³
+London,GB,2019-05-11 03:00:00+00:00,London Westminster,pm25,11.0,µg/m³
+London,GB,2019-05-11 02:00:00+00:00,London Westminster,pm25,11.0,µg/m³
+London,GB,2019-05-11 01:00:00+00:00,London Westminster,pm25,10.0,µg/m³
+London,GB,2019-05-11 00:00:00+00:00,London Westminster,pm25,10.0,µg/m³
+London,GB,2019-05-10 23:00:00+00:00,London Westminster,pm25,10.0,µg/m³
+London,GB,2019-05-10 22:00:00+00:00,London Westminster,pm25,11.0,µg/m³
+London,GB,2019-05-10 21:00:00+00:00,London Westminster,pm25,11.0,µg/m³
+London,GB,2019-05-10 20:00:00+00:00,London Westminster,pm25,11.0,µg/m³
+London,GB,2019-05-10 19:00:00+00:00,London Westminster,pm25,11.0,µg/m³
+London,GB,2019-05-10 18:00:00+00:00,London Westminster,pm25,12.0,µg/m³
+London,GB,2019-05-10 17:00:00+00:00,London Westminster,pm25,12.0,µg/m³
+London,GB,2019-05-10 16:00:00+00:00,London Westminster,pm25,12.0,µg/m³
+London,GB,2019-05-10 15:00:00+00:00,London Westminster,pm25,12.0,µg/m³
+London,GB,2019-05-10 14:00:00+00:00,London Westminster,pm25,12.0,µg/m³
+London,GB,2019-05-10 13:00:00+00:00,London Westminster,pm25,12.0,µg/m³
+London,GB,2019-05-10 12:00:00+00:00,London Westminster,pm25,12.0,µg/m³
+London,GB,2019-05-10 11:00:00+00:00,London Westminster,pm25,12.0,µg/m³
+London,GB,2019-05-10 10:00:00+00:00,London Westminster,pm25,13.0,µg/m³
+London,GB,2019-05-10 09:00:00+00:00,London Westminster,pm25,12.0,µg/m³
+London,GB,2019-05-10 08:00:00+00:00,London Westminster,pm25,12.0,µg/m³
+London,GB,2019-05-10 07:00:00+00:00,London Westminster,pm25,12.0,µg/m³
+London,GB,2019-05-10 06:00:00+00:00,London Westminster,pm25,12.0,µg/m³
+London,GB,2019-05-10 05:00:00+00:00,London Westminster,pm25,12.0,µg/m³
+London,GB,2019-05-10 04:00:00+00:00,London Westminster,pm25,12.0,µg/m³
+London,GB,2019-05-10 03:00:00+00:00,London Westminster,pm25,12.0,µg/m³
+London,GB,2019-05-10 02:00:00+00:00,London Westminster,pm25,12.0,µg/m³
+London,GB,2019-05-10 01:00:00+00:00,London Westminster,pm25,11.0,µg/m³
+London,GB,2019-05-10 00:00:00+00:00,London Westminster,pm25,11.0,µg/m³
+London,GB,2019-05-09 23:00:00+00:00,London Westminster,pm25,12.0,µg/m³
+London,GB,2019-05-09 22:00:00+00:00,London Westminster,pm25,11.0,µg/m³
+London,GB,2019-05-09 21:00:00+00:00,London Westminster,pm25,11.0,µg/m³
+London,GB,2019-05-09 20:00:00+00:00,London Westminster,pm25,10.0,µg/m³
+London,GB,2019-05-09 19:00:00+00:00,London Westminster,pm25,10.0,µg/m³
+London,GB,2019-05-09 18:00:00+00:00,London Westminster,pm25,10.0,µg/m³
+London,GB,2019-05-09 17:00:00+00:00,London Westminster,pm25,10.0,µg/m³
+London,GB,2019-05-09 16:00:00+00:00,London Westminster,pm25,10.0,µg/m³
+London,GB,2019-05-09 15:00:00+00:00,London Westminster,pm25,10.0,µg/m³
+London,GB,2019-05-09 14:00:00+00:00,London Westminster,pm25,10.0,µg/m³
+London,GB,2019-05-09 13:00:00+00:00,London Westminster,pm25,10.0,µg/m³
+London,GB,2019-05-09 12:00:00+00:00,London Westminster,pm25,10.0,µg/m³
+London,GB,2019-05-09 11:00:00+00:00,London Westminster,pm25,10.0,µg/m³
+London,GB,2019-05-09 10:00:00+00:00,London Westminster,pm25,9.0,µg/m³
+London,GB,2019-05-09 09:00:00+00:00,London Westminster,pm25,9.0,µg/m³
+London,GB,2019-05-09 08:00:00+00:00,London Westminster,pm25,9.0,µg/m³
+London,GB,2019-05-09 07:00:00+00:00,London Westminster,pm25,9.0,µg/m³
+London,GB,2019-05-09 06:00:00+00:00,London Westminster,pm25,9.0,µg/m³
+London,GB,2019-05-09 05:00:00+00:00,London Westminster,pm25,9.0,µg/m³
+London,GB,2019-05-09 04:00:00+00:00,London Westminster,pm25,9.0,µg/m³
+London,GB,2019-05-09 03:00:00+00:00,London Westminster,pm25,9.0,µg/m³
+London,GB,2019-05-09 02:00:00+00:00,London Westminster,pm25,9.0,µg/m³
+London,GB,2019-05-09 00:00:00+00:00,London Westminster,pm25,9.0,µg/m³
+London,GB,2019-05-08 23:00:00+00:00,London Westminster,pm25,9.0,µg/m³
+London,GB,2019-05-08 21:00:00+00:00,London Westminster,pm25,9.0,µg/m³
+London,GB,2019-05-08 20:00:00+00:00,London Westminster,pm25,9.0,µg/m³
+London,GB,2019-05-08 19:00:00+00:00,London Westminster,pm25,9.0,µg/m³
+London,GB,2019-05-08 18:00:00+00:00,London Westminster,pm25,9.0,µg/m³
+London,GB,2019-05-08 17:00:00+00:00,London Westminster,pm25,9.0,µg/m³
+London,GB,2019-05-08 16:00:00+00:00,London Westminster,pm25,9.0,µg/m³
+London,GB,2019-05-08 15:00:00+00:00,London Westminster,pm25,9.0,µg/m³
+London,GB,2019-05-08 14:00:00+00:00,London Westminster,pm25,10.0,µg/m³
+London,GB,2019-05-08 13:00:00+00:00,London Westminster,pm25,10.0,µg/m³
+London,GB,2019-05-08 12:00:00+00:00,London Westminster,pm25,10.0,µg/m³
+London,GB,2019-05-08 11:00:00+00:00,London Westminster,pm25,10.0,µg/m³
+London,GB,2019-05-08 10:00:00+00:00,London Westminster,pm25,10.0,µg/m³
+London,GB,2019-05-08 09:00:00+00:00,London Westminster,pm25,10.0,µg/m³
+London,GB,2019-05-08 08:00:00+00:00,London Westminster,pm25,10.0,µg/m³
+London,GB,2019-05-08 07:00:00+00:00,London Westminster,pm25,10.0,µg/m³
+London,GB,2019-05-08 06:00:00+00:00,London Westminster,pm25,10.0,µg/m³
+London,GB,2019-05-08 05:00:00+00:00,London Westminster,pm25,10.0,µg/m³
+London,GB,2019-05-08 04:00:00+00:00,London Westminster,pm25,11.0,µg/m³
+London,GB,2019-05-08 03:00:00+00:00,London Westminster,pm25,11.0,µg/m³
+London,GB,2019-05-08 02:00:00+00:00,London Westminster,pm25,10.0,µg/m³
+London,GB,2019-05-08 01:00:00+00:00,London Westminster,pm25,10.0,µg/m³
+London,GB,2019-05-08 00:00:00+00:00,London Westminster,pm25,10.0,µg/m³
+London,GB,2019-05-07 23:00:00+00:00,London Westminster,pm25,10.0,µg/m³
+London,GB,2019-05-07 21:00:00+00:00,London Westminster,pm25,10.0,µg/m³
+London,GB,2019-05-07 20:00:00+00:00,London Westminster,pm25,10.0,µg/m³
+London,GB,2019-05-07 19:00:00+00:00,London Westminster,pm25,11.0,µg/m³
+London,GB,2019-05-07 18:00:00+00:00,London Westminster,pm25,11.0,µg/m³
+London,GB,2019-05-07 17:00:00+00:00,London Westminster,pm25,10.0,µg/m³
+London,GB,2019-05-07 16:00:00+00:00,London Westminster,pm25,10.0,µg/m³
+London,GB,2019-05-07 15:00:00+00:00,London Westminster,pm25,10.0,µg/m³
+London,GB,2019-05-07 14:00:00+00:00,London Westminster,pm25,10.0,µg/m³
+London,GB,2019-05-07 13:00:00+00:00,London Westminster,pm25,10.0,µg/m³
+London,GB,2019-05-07 12:00:00+00:00,London Westminster,pm25,10.0,µg/m³
+London,GB,2019-05-07 11:00:00+00:00,London Westminster,pm25,10.0,µg/m³
+London,GB,2019-05-07 10:00:00+00:00,London Westminster,pm25,10.0,µg/m³
+London,GB,2019-05-07 09:00:00+00:00,London Westminster,pm25,10.0,µg/m³
+London,GB,2019-05-07 08:00:00+00:00,London Westminster,pm25,10.0,µg/m³
+London,GB,2019-05-07 07:00:00+00:00,London Westminster,pm25,9.0,µg/m³
+London,GB,2019-05-07 06:00:00+00:00,London Westminster,pm25,9.0,µg/m³
+London,GB,2019-05-07 04:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-05-07 03:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-05-07 02:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-05-07 01:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-05-06 23:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-05-06 22:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-05-06 21:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-05-06 20:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-05-06 19:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-05-06 18:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-05-06 17:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-05-06 16:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-05-06 15:00:00+00:00,London Westminster,pm25,9.0,µg/m³
+London,GB,2019-05-06 14:00:00+00:00,London Westminster,pm25,9.0,µg/m³
+London,GB,2019-05-06 13:00:00+00:00,London Westminster,pm25,9.0,µg/m³
+London,GB,2019-05-06 12:00:00+00:00,London Westminster,pm25,9.0,µg/m³
+London,GB,2019-05-06 11:00:00+00:00,London Westminster,pm25,9.0,µg/m³
+London,GB,2019-05-06 10:00:00+00:00,London Westminster,pm25,9.0,µg/m³
+London,GB,2019-05-06 09:00:00+00:00,London Westminster,pm25,9.0,µg/m³
+London,GB,2019-05-06 08:00:00+00:00,London Westminster,pm25,9.0,µg/m³
+London,GB,2019-05-06 07:00:00+00:00,London Westminster,pm25,9.0,µg/m³
+London,GB,2019-05-06 06:00:00+00:00,London Westminster,pm25,10.0,µg/m³
+London,GB,2019-05-06 05:00:00+00:00,London Westminster,pm25,10.0,µg/m³
+London,GB,2019-05-06 04:00:00+00:00,London Westminster,pm25,10.0,µg/m³
+London,GB,2019-05-06 03:00:00+00:00,London Westminster,pm25,10.0,µg/m³
+London,GB,2019-05-06 02:00:00+00:00,London Westminster,pm25,10.0,µg/m³
+London,GB,2019-05-06 01:00:00+00:00,London Westminster,pm25,10.0,µg/m³
+London,GB,2019-05-06 00:00:00+00:00,London Westminster,pm25,10.0,µg/m³
+London,GB,2019-05-05 23:00:00+00:00,London Westminster,pm25,10.0,µg/m³
+London,GB,2019-05-05 22:00:00+00:00,London Westminster,pm25,10.0,µg/m³
+London,GB,2019-05-05 21:00:00+00:00,London Westminster,pm25,10.0,µg/m³
+London,GB,2019-05-05 20:00:00+00:00,London Westminster,pm25,10.0,µg/m³
+London,GB,2019-05-05 19:00:00+00:00,London Westminster,pm25,10.0,µg/m³
+London,GB,2019-05-05 18:00:00+00:00,London Westminster,pm25,10.0,µg/m³
+London,GB,2019-05-05 17:00:00+00:00,London Westminster,pm25,10.0,µg/m³
+London,GB,2019-05-05 16:00:00+00:00,London Westminster,pm25,10.0,µg/m³
+London,GB,2019-05-05 15:00:00+00:00,London Westminster,pm25,10.0,µg/m³
+London,GB,2019-05-05 14:00:00+00:00,London Westminster,pm25,10.0,µg/m³
+London,GB,2019-05-05 13:00:00+00:00,London Westminster,pm25,9.0,µg/m³
+London,GB,2019-05-05 12:00:00+00:00,London Westminster,pm25,9.0,µg/m³
+London,GB,2019-05-05 11:00:00+00:00,London Westminster,pm25,9.0,µg/m³
+London,GB,2019-05-05 10:00:00+00:00,London Westminster,pm25,9.0,µg/m³
+London,GB,2019-05-05 09:00:00+00:00,London Westminster,pm25,9.0,µg/m³
+London,GB,2019-05-05 08:00:00+00:00,London Westminster,pm25,9.0,µg/m³
+London,GB,2019-05-05 07:00:00+00:00,London Westminster,pm25,9.0,µg/m³
+London,GB,2019-05-05 06:00:00+00:00,London Westminster,pm25,9.0,µg/m³
+London,GB,2019-05-05 05:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-05-05 04:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-05-05 03:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-05-05 02:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-05-05 01:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-05-05 00:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-05-04 23:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-05-04 22:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-05-04 21:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-05-04 20:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-05-04 19:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-05-04 18:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-05-04 17:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-05-04 16:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-05-04 15:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-05-04 14:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-05-04 13:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-05-04 12:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-05-04 11:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-05-04 10:00:00+00:00,London Westminster,pm25,9.0,µg/m³
+London,GB,2019-05-04 09:00:00+00:00,London Westminster,pm25,9.0,µg/m³
+London,GB,2019-05-04 08:00:00+00:00,London Westminster,pm25,9.0,µg/m³
+London,GB,2019-05-04 07:00:00+00:00,London Westminster,pm25,9.0,µg/m³
+London,GB,2019-05-04 06:00:00+00:00,London Westminster,pm25,9.0,µg/m³
+London,GB,2019-05-04 05:00:00+00:00,London Westminster,pm25,10.0,µg/m³
+London,GB,2019-05-04 04:00:00+00:00,London Westminster,pm25,10.0,µg/m³
+London,GB,2019-05-04 03:00:00+00:00,London Westminster,pm25,10.0,µg/m³
+London,GB,2019-05-04 02:00:00+00:00,London Westminster,pm25,10.0,µg/m³
+London,GB,2019-05-04 01:00:00+00:00,London Westminster,pm25,10.0,µg/m³
+London,GB,2019-05-04 00:00:00+00:00,London Westminster,pm25,10.0,µg/m³
+London,GB,2019-05-03 23:00:00+00:00,London Westminster,pm25,10.0,µg/m³
+London,GB,2019-05-03 22:00:00+00:00,London Westminster,pm25,10.0,µg/m³
+London,GB,2019-05-03 21:00:00+00:00,London Westminster,pm25,10.0,µg/m³
+London,GB,2019-05-03 20:00:00+00:00,London Westminster,pm25,10.0,µg/m³
+London,GB,2019-05-03 19:00:00+00:00,London Westminster,pm25,10.0,µg/m³
+London,GB,2019-05-03 18:00:00+00:00,London Westminster,pm25,10.0,µg/m³
+London,GB,2019-05-03 17:00:00+00:00,London Westminster,pm25,10.0,µg/m³
+London,GB,2019-05-03 16:00:00+00:00,London Westminster,pm25,10.0,µg/m³
+London,GB,2019-05-03 15:00:00+00:00,London Westminster,pm25,10.0,µg/m³
+London,GB,2019-05-03 14:00:00+00:00,London Westminster,pm25,10.0,µg/m³
+London,GB,2019-05-03 13:00:00+00:00,London Westminster,pm25,10.0,µg/m³
+London,GB,2019-05-03 12:00:00+00:00,London Westminster,pm25,9.0,µg/m³
+London,GB,2019-05-03 11:00:00+00:00,London Westminster,pm25,9.0,µg/m³
+London,GB,2019-05-03 10:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-05-03 09:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-05-03 08:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-05-03 07:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-05-03 06:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-05-03 05:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-05-03 04:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-05-03 03:00:00+00:00,London Westminster,pm25,9.0,µg/m³
+London,GB,2019-05-03 02:00:00+00:00,London Westminster,pm25,9.0,µg/m³
+London,GB,2019-05-03 01:00:00+00:00,London Westminster,pm25,9.0,µg/m³
+London,GB,2019-05-03 00:00:00+00:00,London Westminster,pm25,9.0,µg/m³
+London,GB,2019-05-02 23:00:00+00:00,London Westminster,pm25,10.0,µg/m³
+London,GB,2019-05-02 22:00:00+00:00,London Westminster,pm25,10.0,µg/m³
+London,GB,2019-05-02 21:00:00+00:00,London Westminster,pm25,10.0,µg/m³
+London,GB,2019-05-02 20:00:00+00:00,London Westminster,pm25,10.0,µg/m³
+London,GB,2019-05-02 19:00:00+00:00,London Westminster,pm25,10.0,µg/m³
+London,GB,2019-05-02 18:00:00+00:00,London Westminster,pm25,10.0,µg/m³
+London,GB,2019-05-02 17:00:00+00:00,London Westminster,pm25,10.0,µg/m³
+London,GB,2019-05-02 16:00:00+00:00,London Westminster,pm25,11.0,µg/m³
+London,GB,2019-05-02 15:00:00+00:00,London Westminster,pm25,11.0,µg/m³
+London,GB,2019-05-02 14:00:00+00:00,London Westminster,pm25,11.0,µg/m³
+London,GB,2019-05-02 13:00:00+00:00,London Westminster,pm25,12.0,µg/m³
+London,GB,2019-05-02 12:00:00+00:00,London Westminster,pm25,12.0,µg/m³
+London,GB,2019-05-02 11:00:00+00:00,London Westminster,pm25,13.0,µg/m³
+London,GB,2019-05-02 10:00:00+00:00,London Westminster,pm25,14.0,µg/m³
+London,GB,2019-05-02 09:00:00+00:00,London Westminster,pm25,14.0,µg/m³
+London,GB,2019-05-02 08:00:00+00:00,London Westminster,pm25,14.0,µg/m³
+London,GB,2019-05-02 07:00:00+00:00,London Westminster,pm25,14.0,µg/m³
+London,GB,2019-05-02 06:00:00+00:00,London Westminster,pm25,14.0,µg/m³
+London,GB,2019-05-02 05:00:00+00:00,London Westminster,pm25,14.0,µg/m³
+London,GB,2019-05-02 04:00:00+00:00,London Westminster,pm25,14.0,µg/m³
+London,GB,2019-05-02 03:00:00+00:00,London Westminster,pm25,14.0,µg/m³
+London,GB,2019-05-02 02:00:00+00:00,London Westminster,pm25,14.0,µg/m³
+London,GB,2019-05-02 01:00:00+00:00,London Westminster,pm25,14.0,µg/m³
+London,GB,2019-05-02 00:00:00+00:00,London Westminster,pm25,14.0,µg/m³
+London,GB,2019-05-01 23:00:00+00:00,London Westminster,pm25,14.0,µg/m³
+London,GB,2019-05-01 22:00:00+00:00,London Westminster,pm25,14.0,µg/m³
+London,GB,2019-05-01 21:00:00+00:00,London Westminster,pm25,15.0,µg/m³
+London,GB,2019-05-01 20:00:00+00:00,London Westminster,pm25,15.0,µg/m³
+London,GB,2019-05-01 19:00:00+00:00,London Westminster,pm25,16.0,µg/m³
+London,GB,2019-05-01 18:00:00+00:00,London Westminster,pm25,16.0,µg/m³
+London,GB,2019-05-01 17:00:00+00:00,London Westminster,pm25,16.0,µg/m³
+London,GB,2019-05-01 16:00:00+00:00,London Westminster,pm25,15.0,µg/m³
+London,GB,2019-05-01 15:00:00+00:00,London Westminster,pm25,15.0,µg/m³
+London,GB,2019-05-01 14:00:00+00:00,London Westminster,pm25,15.0,µg/m³
+London,GB,2019-05-01 13:00:00+00:00,London Westminster,pm25,15.0,µg/m³
+London,GB,2019-05-01 12:00:00+00:00,London Westminster,pm25,14.0,µg/m³
+London,GB,2019-05-01 11:00:00+00:00,London Westminster,pm25,14.0,µg/m³
+London,GB,2019-05-01 10:00:00+00:00,London Westminster,pm25,14.0,µg/m³
+London,GB,2019-05-01 09:00:00+00:00,London Westminster,pm25,14.0,µg/m³
+London,GB,2019-05-01 08:00:00+00:00,London Westminster,pm25,14.0,µg/m³
+London,GB,2019-05-01 07:00:00+00:00,London Westminster,pm25,14.0,µg/m³
+London,GB,2019-05-01 06:00:00+00:00,London Westminster,pm25,14.0,µg/m³
+London,GB,2019-05-01 05:00:00+00:00,London Westminster,pm25,15.0,µg/m³
+London,GB,2019-05-01 04:00:00+00:00,London Westminster,pm25,15.0,µg/m³
+London,GB,2019-05-01 03:00:00+00:00,London Westminster,pm25,16.0,µg/m³
+London,GB,2019-05-01 00:00:00+00:00,London Westminster,pm25,17.0,µg/m³
+London,GB,2019-04-30 23:00:00+00:00,London Westminster,pm25,18.0,µg/m³
+London,GB,2019-04-30 22:00:00+00:00,London Westminster,pm25,19.0,µg/m³
+London,GB,2019-04-30 21:00:00+00:00,London Westminster,pm25,19.0,µg/m³
+London,GB,2019-04-30 20:00:00+00:00,London Westminster,pm25,19.0,µg/m³
+London,GB,2019-04-30 19:00:00+00:00,London Westminster,pm25,19.0,µg/m³
+London,GB,2019-04-30 18:00:00+00:00,London Westminster,pm25,19.0,µg/m³
+London,GB,2019-04-30 17:00:00+00:00,London Westminster,pm25,19.0,µg/m³
+London,GB,2019-04-30 16:00:00+00:00,London Westminster,pm25,19.0,µg/m³
+London,GB,2019-04-30 15:00:00+00:00,London Westminster,pm25,19.0,µg/m³
+London,GB,2019-04-30 14:00:00+00:00,London Westminster,pm25,19.0,µg/m³
+London,GB,2019-04-30 13:00:00+00:00,London Westminster,pm25,19.0,µg/m³
+London,GB,2019-04-30 12:00:00+00:00,London Westminster,pm25,19.0,µg/m³
+London,GB,2019-04-30 11:00:00+00:00,London Westminster,pm25,19.0,µg/m³
+London,GB,2019-04-30 10:00:00+00:00,London Westminster,pm25,19.0,µg/m³
+London,GB,2019-04-30 09:00:00+00:00,London Westminster,pm25,19.0,µg/m³
+London,GB,2019-04-30 08:00:00+00:00,London Westminster,pm25,18.0,µg/m³
+London,GB,2019-04-30 07:00:00+00:00,London Westminster,pm25,18.0,µg/m³
+London,GB,2019-04-30 06:00:00+00:00,London Westminster,pm25,18.0,µg/m³
+London,GB,2019-04-30 05:00:00+00:00,London Westminster,pm25,18.0,µg/m³
+London,GB,2019-04-30 04:00:00+00:00,London Westminster,pm25,18.0,µg/m³
+London,GB,2019-04-30 03:00:00+00:00,London Westminster,pm25,17.0,µg/m³
+London,GB,2019-04-30 02:00:00+00:00,London Westminster,pm25,16.0,µg/m³
+London,GB,2019-04-30 01:00:00+00:00,London Westminster,pm25,15.0,µg/m³
+London,GB,2019-04-30 00:00:00+00:00,London Westminster,pm25,15.0,µg/m³
+London,GB,2019-04-29 23:00:00+00:00,London Westminster,pm25,14.0,µg/m³
+London,GB,2019-04-29 22:00:00+00:00,London Westminster,pm25,13.0,µg/m³
+London,GB,2019-04-29 21:00:00+00:00,London Westminster,pm25,12.0,µg/m³
+London,GB,2019-04-29 20:00:00+00:00,London Westminster,pm25,12.0,µg/m³
+London,GB,2019-04-29 19:00:00+00:00,London Westminster,pm25,12.0,µg/m³
+London,GB,2019-04-29 18:00:00+00:00,London Westminster,pm25,11.0,µg/m³
+London,GB,2019-04-29 17:00:00+00:00,London Westminster,pm25,11.0,µg/m³
+London,GB,2019-04-29 16:00:00+00:00,London Westminster,pm25,11.0,µg/m³
+London,GB,2019-04-29 15:00:00+00:00,London Westminster,pm25,11.0,µg/m³
+London,GB,2019-04-29 14:00:00+00:00,London Westminster,pm25,11.0,µg/m³
+London,GB,2019-04-29 13:00:00+00:00,London Westminster,pm25,11.0,µg/m³
+London,GB,2019-04-29 12:00:00+00:00,London Westminster,pm25,11.0,µg/m³
+London,GB,2019-04-29 11:00:00+00:00,London Westminster,pm25,11.0,µg/m³
+London,GB,2019-04-29 10:00:00+00:00,London Westminster,pm25,11.0,µg/m³
+London,GB,2019-04-29 09:00:00+00:00,London Westminster,pm25,10.0,µg/m³
+London,GB,2019-04-29 08:00:00+00:00,London Westminster,pm25,10.0,µg/m³
+London,GB,2019-04-29 07:00:00+00:00,London Westminster,pm25,10.0,µg/m³
+London,GB,2019-04-29 06:00:00+00:00,London Westminster,pm25,9.0,µg/m³
+London,GB,2019-04-29 05:00:00+00:00,London Westminster,pm25,9.0,µg/m³
+London,GB,2019-04-29 04:00:00+00:00,London Westminster,pm25,9.0,µg/m³
+London,GB,2019-04-29 03:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-04-29 02:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-04-29 01:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-04-29 00:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-04-28 23:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-04-28 22:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-04-28 21:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-04-28 20:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-04-28 19:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-04-28 18:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-04-28 17:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-04-28 16:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-04-28 15:00:00+00:00,London Westminster,pm25,6.0,µg/m³
+London,GB,2019-04-28 14:00:00+00:00,London Westminster,pm25,6.0,µg/m³
+London,GB,2019-04-28 13:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-04-28 12:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-04-28 11:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-04-28 10:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-04-28 09:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-04-27 13:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-04-27 12:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-04-27 11:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-04-27 10:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-04-27 09:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-04-27 08:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-04-27 07:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-04-27 06:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-04-27 05:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-04-27 04:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-04-27 03:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-04-27 02:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-04-27 00:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-04-26 23:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-04-26 22:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-04-26 21:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-04-26 20:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-04-26 19:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-04-26 18:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-04-26 17:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-04-26 16:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-04-26 15:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-04-26 14:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-04-26 13:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-04-26 12:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-04-26 11:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-04-26 10:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-04-26 09:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-04-26 08:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-04-26 07:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-04-26 06:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-04-26 05:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-04-26 04:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-04-26 03:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-04-26 02:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-04-26 01:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-04-26 00:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-04-25 23:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-04-25 22:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-04-25 21:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-04-25 20:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-04-25 19:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-04-25 18:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-04-25 17:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-04-25 16:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-04-25 15:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-04-25 14:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-04-25 13:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-04-25 12:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-04-25 11:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-04-25 10:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-04-25 09:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-04-25 08:00:00+00:00,London Westminster,pm25,9.0,µg/m³
+London,GB,2019-04-25 07:00:00+00:00,London Westminster,pm25,10.0,µg/m³
+London,GB,2019-04-25 06:00:00+00:00,London Westminster,pm25,12.0,µg/m³
+London,GB,2019-04-25 05:00:00+00:00,London Westminster,pm25,13.0,µg/m³
+London,GB,2019-04-25 04:00:00+00:00,London Westminster,pm25,15.0,µg/m³
+London,GB,2019-04-25 03:00:00+00:00,London Westminster,pm25,17.0,µg/m³
+London,GB,2019-04-25 02:00:00+00:00,London Westminster,pm25,18.0,µg/m³
+London,GB,2019-04-25 00:00:00+00:00,London Westminster,pm25,21.0,µg/m³
+London,GB,2019-04-24 23:00:00+00:00,London Westminster,pm25,22.0,µg/m³
+London,GB,2019-04-24 22:00:00+00:00,London Westminster,pm25,23.0,µg/m³
+London,GB,2019-04-24 21:00:00+00:00,London Westminster,pm25,24.0,µg/m³
+London,GB,2019-04-24 20:00:00+00:00,London Westminster,pm25,25.0,µg/m³
+London,GB,2019-04-24 19:00:00+00:00,London Westminster,pm25,25.0,µg/m³
+London,GB,2019-04-24 18:00:00+00:00,London Westminster,pm25,26.0,µg/m³
+London,GB,2019-04-24 17:00:00+00:00,London Westminster,pm25,26.0,µg/m³
+London,GB,2019-04-24 16:00:00+00:00,London Westminster,pm25,27.0,µg/m³
+London,GB,2019-04-24 15:00:00+00:00,London Westminster,pm25,27.0,µg/m³
+London,GB,2019-04-24 14:00:00+00:00,London Westminster,pm25,27.0,µg/m³
+London,GB,2019-04-24 13:00:00+00:00,London Westminster,pm25,28.0,µg/m³
+London,GB,2019-04-24 12:00:00+00:00,London Westminster,pm25,28.0,µg/m³
+London,GB,2019-04-24 11:00:00+00:00,London Westminster,pm25,28.0,µg/m³
+London,GB,2019-04-24 10:00:00+00:00,London Westminster,pm25,29.0,µg/m³
+London,GB,2019-04-24 09:00:00+00:00,London Westminster,pm25,29.0,µg/m³
+London,GB,2019-04-24 08:00:00+00:00,London Westminster,pm25,29.0,µg/m³
+London,GB,2019-04-24 07:00:00+00:00,London Westminster,pm25,28.0,µg/m³
+London,GB,2019-04-24 06:00:00+00:00,London Westminster,pm25,27.0,µg/m³
+London,GB,2019-04-24 05:00:00+00:00,London Westminster,pm25,26.0,µg/m³
+London,GB,2019-04-24 04:00:00+00:00,London Westminster,pm25,25.0,µg/m³
+London,GB,2019-04-24 03:00:00+00:00,London Westminster,pm25,24.0,µg/m³
+London,GB,2019-04-24 02:00:00+00:00,London Westminster,pm25,24.0,µg/m³
+London,GB,2019-04-24 00:00:00+00:00,London Westminster,pm25,26.0,µg/m³
+London,GB,2019-04-23 23:00:00+00:00,London Westminster,pm25,27.0,µg/m³
+London,GB,2019-04-23 22:00:00+00:00,London Westminster,pm25,28.0,µg/m³
+London,GB,2019-04-23 21:00:00+00:00,London Westminster,pm25,29.0,µg/m³
+London,GB,2019-04-23 20:00:00+00:00,London Westminster,pm25,30.0,µg/m³
+London,GB,2019-04-23 19:00:00+00:00,London Westminster,pm25,32.0,µg/m³
+London,GB,2019-04-23 18:00:00+00:00,London Westminster,pm25,33.0,µg/m³
+London,GB,2019-04-23 17:00:00+00:00,London Westminster,pm25,33.0,µg/m³
+London,GB,2019-04-23 16:00:00+00:00,London Westminster,pm25,34.0,µg/m³
+London,GB,2019-04-23 15:00:00+00:00,London Westminster,pm25,35.0,µg/m³
+London,GB,2019-04-23 14:00:00+00:00,London Westminster,pm25,35.0,µg/m³
+London,GB,2019-04-23 13:00:00+00:00,London Westminster,pm25,34.0,µg/m³
+London,GB,2019-04-23 12:00:00+00:00,London Westminster,pm25,34.0,µg/m³
+London,GB,2019-04-23 11:00:00+00:00,London Westminster,pm25,35.0,µg/m³
+London,GB,2019-04-23 10:00:00+00:00,London Westminster,pm25,35.0,µg/m³
+London,GB,2019-04-23 09:00:00+00:00,London Westminster,pm25,36.0,µg/m³
+London,GB,2019-04-23 08:00:00+00:00,London Westminster,pm25,37.0,µg/m³
+London,GB,2019-04-23 07:00:00+00:00,London Westminster,pm25,38.0,µg/m³
+London,GB,2019-04-23 06:00:00+00:00,London Westminster,pm25,40.0,µg/m³
+London,GB,2019-04-23 05:00:00+00:00,London Westminster,pm25,41.0,µg/m³
+London,GB,2019-04-23 04:00:00+00:00,London Westminster,pm25,43.0,µg/m³
+London,GB,2019-04-23 03:00:00+00:00,London Westminster,pm25,44.0,µg/m³
+London,GB,2019-04-23 02:00:00+00:00,London Westminster,pm25,45.0,µg/m³
+London,GB,2019-04-23 01:00:00+00:00,London Westminster,pm25,45.0,µg/m³
+London,GB,2019-04-23 00:00:00+00:00,London Westminster,pm25,45.0,µg/m³
+London,GB,2019-04-22 23:00:00+00:00,London Westminster,pm25,44.0,µg/m³
+London,GB,2019-04-22 22:00:00+00:00,London Westminster,pm25,43.0,µg/m³
+London,GB,2019-04-22 21:00:00+00:00,London Westminster,pm25,43.0,µg/m³
+London,GB,2019-04-22 20:00:00+00:00,London Westminster,pm25,42.0,µg/m³
+London,GB,2019-04-22 19:00:00+00:00,London Westminster,pm25,41.0,µg/m³
+London,GB,2019-04-22 18:00:00+00:00,London Westminster,pm25,40.0,µg/m³
+London,GB,2019-04-22 17:00:00+00:00,London Westminster,pm25,39.0,µg/m³
+London,GB,2019-04-22 16:00:00+00:00,London Westminster,pm25,38.0,µg/m³
+London,GB,2019-04-22 15:00:00+00:00,London Westminster,pm25,38.0,µg/m³
+London,GB,2019-04-22 14:00:00+00:00,London Westminster,pm25,38.0,µg/m³
+London,GB,2019-04-22 13:00:00+00:00,London Westminster,pm25,38.0,µg/m³
+London,GB,2019-04-22 12:00:00+00:00,London Westminster,pm25,38.0,µg/m³
+London,GB,2019-04-22 11:00:00+00:00,London Westminster,pm25,38.0,µg/m³
+London,GB,2019-04-22 10:00:00+00:00,London Westminster,pm25,38.0,µg/m³
+London,GB,2019-04-22 09:00:00+00:00,London Westminster,pm25,37.0,µg/m³
+London,GB,2019-04-22 08:00:00+00:00,London Westminster,pm25,37.0,µg/m³
+London,GB,2019-04-22 07:00:00+00:00,London Westminster,pm25,36.0,µg/m³
+London,GB,2019-04-22 06:00:00+00:00,London Westminster,pm25,35.0,µg/m³
+London,GB,2019-04-22 05:00:00+00:00,London Westminster,pm25,33.0,µg/m³
+London,GB,2019-04-22 04:00:00+00:00,London Westminster,pm25,32.0,µg/m³
+London,GB,2019-04-22 03:00:00+00:00,London Westminster,pm25,30.0,µg/m³
+London,GB,2019-04-22 02:00:00+00:00,London Westminster,pm25,29.0,µg/m³
+London,GB,2019-04-22 01:00:00+00:00,London Westminster,pm25,28.0,µg/m³
+London,GB,2019-04-22 00:00:00+00:00,London Westminster,pm25,27.0,µg/m³
+London,GB,2019-04-21 23:00:00+00:00,London Westminster,pm25,27.0,µg/m³
+London,GB,2019-04-21 22:00:00+00:00,London Westminster,pm25,27.0,µg/m³
+London,GB,2019-04-21 21:00:00+00:00,London Westminster,pm25,26.0,µg/m³
+London,GB,2019-04-21 20:00:00+00:00,London Westminster,pm25,26.0,µg/m³
+London,GB,2019-04-21 19:00:00+00:00,London Westminster,pm25,26.0,µg/m³
+London,GB,2019-04-21 18:00:00+00:00,London Westminster,pm25,27.0,µg/m³
+London,GB,2019-04-21 17:00:00+00:00,London Westminster,pm25,26.0,µg/m³
+London,GB,2019-04-21 16:00:00+00:00,London Westminster,pm25,26.0,µg/m³
+London,GB,2019-04-21 15:00:00+00:00,London Westminster,pm25,26.0,µg/m³
+London,GB,2019-04-21 14:00:00+00:00,London Westminster,pm25,26.0,µg/m³
+London,GB,2019-04-21 13:00:00+00:00,London Westminster,pm25,25.0,µg/m³
+London,GB,2019-04-21 12:00:00+00:00,London Westminster,pm25,25.0,µg/m³
+London,GB,2019-04-21 11:00:00+00:00,London Westminster,pm25,24.0,µg/m³
+London,GB,2019-04-21 10:00:00+00:00,London Westminster,pm25,24.0,µg/m³
+London,GB,2019-04-21 09:00:00+00:00,London Westminster,pm25,24.0,µg/m³
+London,GB,2019-04-21 08:00:00+00:00,London Westminster,pm25,24.0,µg/m³
+London,GB,2019-04-21 07:00:00+00:00,London Westminster,pm25,24.0,µg/m³
+London,GB,2019-04-21 06:00:00+00:00,London Westminster,pm25,24.0,µg/m³
+London,GB,2019-04-21 05:00:00+00:00,London Westminster,pm25,25.0,µg/m³
+London,GB,2019-04-21 04:00:00+00:00,London Westminster,pm25,25.0,µg/m³
+London,GB,2019-04-21 03:00:00+00:00,London Westminster,pm25,25.0,µg/m³
+London,GB,2019-04-21 02:00:00+00:00,London Westminster,pm25,25.0,µg/m³
+London,GB,2019-04-21 01:00:00+00:00,London Westminster,pm25,25.0,µg/m³
+London,GB,2019-04-21 00:00:00+00:00,London Westminster,pm25,25.0,µg/m³
+London,GB,2019-04-20 23:00:00+00:00,London Westminster,pm25,25.0,µg/m³
+London,GB,2019-04-20 22:00:00+00:00,London Westminster,pm25,26.0,µg/m³
+London,GB,2019-04-20 21:00:00+00:00,London Westminster,pm25,26.0,µg/m³
+London,GB,2019-04-20 20:00:00+00:00,London Westminster,pm25,26.0,µg/m³
+London,GB,2019-04-20 19:00:00+00:00,London Westminster,pm25,26.0,µg/m³
+London,GB,2019-04-20 18:00:00+00:00,London Westminster,pm25,26.0,µg/m³
+London,GB,2019-04-20 17:00:00+00:00,London Westminster,pm25,26.0,µg/m³
+London,GB,2019-04-20 16:00:00+00:00,London Westminster,pm25,27.0,µg/m³
+London,GB,2019-04-20 15:00:00+00:00,London Westminster,pm25,27.0,µg/m³
+London,GB,2019-04-20 14:00:00+00:00,London Westminster,pm25,27.0,µg/m³
+London,GB,2019-04-20 13:00:00+00:00,London Westminster,pm25,27.0,µg/m³
+London,GB,2019-04-20 12:00:00+00:00,London Westminster,pm25,27.0,µg/m³
+London,GB,2019-04-20 11:00:00+00:00,London Westminster,pm25,27.0,µg/m³
+London,GB,2019-04-20 10:00:00+00:00,London Westminster,pm25,27.0,µg/m³
+London,GB,2019-04-20 09:00:00+00:00,London Westminster,pm25,28.0,µg/m³
+London,GB,2019-04-20 08:00:00+00:00,London Westminster,pm25,28.0,µg/m³
+London,GB,2019-04-20 07:00:00+00:00,London Westminster,pm25,28.0,µg/m³
+London,GB,2019-04-20 06:00:00+00:00,London Westminster,pm25,28.0,µg/m³
+London,GB,2019-04-20 05:00:00+00:00,London Westminster,pm25,28.0,µg/m³
+London,GB,2019-04-20 04:00:00+00:00,London Westminster,pm25,27.0,µg/m³
+London,GB,2019-04-20 03:00:00+00:00,London Westminster,pm25,27.0,µg/m³
+London,GB,2019-04-20 02:00:00+00:00,London Westminster,pm25,27.0,µg/m³
+London,GB,2019-04-20 01:00:00+00:00,London Westminster,pm25,27.0,µg/m³
+London,GB,2019-04-20 00:00:00+00:00,London Westminster,pm25,27.0,µg/m³
+London,GB,2019-04-19 23:00:00+00:00,London Westminster,pm25,27.0,µg/m³
+London,GB,2019-04-19 22:00:00+00:00,London Westminster,pm25,26.0,µg/m³
+London,GB,2019-04-19 21:00:00+00:00,London Westminster,pm25,26.0,µg/m³
+London,GB,2019-04-19 20:00:00+00:00,London Westminster,pm25,26.0,µg/m³
+London,GB,2019-04-19 19:00:00+00:00,London Westminster,pm25,26.0,µg/m³
+London,GB,2019-04-19 18:00:00+00:00,London Westminster,pm25,27.0,µg/m³
+London,GB,2019-04-19 17:00:00+00:00,London Westminster,pm25,27.0,µg/m³
+London,GB,2019-04-19 16:00:00+00:00,London Westminster,pm25,28.0,µg/m³
+London,GB,2019-04-19 15:00:00+00:00,London Westminster,pm25,28.0,µg/m³
+London,GB,2019-04-19 14:00:00+00:00,London Westminster,pm25,29.0,µg/m³
+London,GB,2019-04-19 13:00:00+00:00,London Westminster,pm25,29.0,µg/m³
+London,GB,2019-04-19 12:00:00+00:00,London Westminster,pm25,29.0,µg/m³
+London,GB,2019-04-19 11:00:00+00:00,London Westminster,pm25,29.0,µg/m³
+London,GB,2019-04-19 10:00:00+00:00,London Westminster,pm25,29.0,µg/m³
+London,GB,2019-04-19 09:00:00+00:00,London Westminster,pm25,29.0,µg/m³
+London,GB,2019-04-19 08:00:00+00:00,London Westminster,pm25,30.0,µg/m³
+London,GB,2019-04-19 07:00:00+00:00,London Westminster,pm25,30.0,µg/m³
+London,GB,2019-04-19 06:00:00+00:00,London Westminster,pm25,31.0,µg/m³
+London,GB,2019-04-19 05:00:00+00:00,London Westminster,pm25,32.0,µg/m³
+London,GB,2019-04-19 04:00:00+00:00,London Westminster,pm25,34.0,µg/m³
+London,GB,2019-04-19 03:00:00+00:00,London Westminster,pm25,35.0,µg/m³
+London,GB,2019-04-19 02:00:00+00:00,London Westminster,pm25,38.0,µg/m³
+London,GB,2019-04-19 00:00:00+00:00,London Westminster,pm25,43.0,µg/m³
+London,GB,2019-04-18 23:00:00+00:00,London Westminster,pm25,45.0,µg/m³
+London,GB,2019-04-18 22:00:00+00:00,London Westminster,pm25,47.0,µg/m³
+London,GB,2019-04-18 21:00:00+00:00,London Westminster,pm25,49.0,µg/m³
+London,GB,2019-04-18 20:00:00+00:00,London Westminster,pm25,50.0,µg/m³
+London,GB,2019-04-18 19:00:00+00:00,London Westminster,pm25,51.0,µg/m³
+London,GB,2019-04-18 18:00:00+00:00,London Westminster,pm25,51.0,µg/m³
+London,GB,2019-04-18 17:00:00+00:00,London Westminster,pm25,51.0,µg/m³
+London,GB,2019-04-18 16:00:00+00:00,London Westminster,pm25,52.0,µg/m³
+London,GB,2019-04-18 15:00:00+00:00,London Westminster,pm25,53.0,µg/m³
+London,GB,2019-04-18 14:00:00+00:00,London Westminster,pm25,53.0,µg/m³
+London,GB,2019-04-18 13:00:00+00:00,London Westminster,pm25,53.0,µg/m³
+London,GB,2019-04-18 12:00:00+00:00,London Westminster,pm25,54.0,µg/m³
+London,GB,2019-04-18 11:00:00+00:00,London Westminster,pm25,55.0,µg/m³
+London,GB,2019-04-18 10:00:00+00:00,London Westminster,pm25,55.0,µg/m³
+London,GB,2019-04-18 09:00:00+00:00,London Westminster,pm25,55.0,µg/m³
+London,GB,2019-04-18 08:00:00+00:00,London Westminster,pm25,55.0,µg/m³
+London,GB,2019-04-18 07:00:00+00:00,London Westminster,pm25,55.0,µg/m³
+London,GB,2019-04-18 06:00:00+00:00,London Westminster,pm25,54.0,µg/m³
+London,GB,2019-04-18 05:00:00+00:00,London Westminster,pm25,53.0,µg/m³
+London,GB,2019-04-18 04:00:00+00:00,London Westminster,pm25,52.0,µg/m³
+London,GB,2019-04-18 03:00:00+00:00,London Westminster,pm25,50.0,µg/m³
+London,GB,2019-04-18 02:00:00+00:00,London Westminster,pm25,48.0,µg/m³
+London,GB,2019-04-18 01:00:00+00:00,London Westminster,pm25,46.0,µg/m³
+London,GB,2019-04-18 00:00:00+00:00,London Westminster,pm25,44.0,µg/m³
+London,GB,2019-04-17 23:00:00+00:00,London Westminster,pm25,42.0,µg/m³
+London,GB,2019-04-17 22:00:00+00:00,London Westminster,pm25,41.0,µg/m³
+London,GB,2019-04-17 21:00:00+00:00,London Westminster,pm25,40.0,µg/m³
+London,GB,2019-04-17 20:00:00+00:00,London Westminster,pm25,39.0,µg/m³
+London,GB,2019-04-17 19:00:00+00:00,London Westminster,pm25,38.0,µg/m³
+London,GB,2019-04-17 18:00:00+00:00,London Westminster,pm25,38.0,µg/m³
+London,GB,2019-04-17 17:00:00+00:00,London Westminster,pm25,38.0,µg/m³
+London,GB,2019-04-17 16:00:00+00:00,London Westminster,pm25,37.0,µg/m³
+London,GB,2019-04-17 15:00:00+00:00,London Westminster,pm25,38.0,µg/m³
+London,GB,2019-04-17 14:00:00+00:00,London Westminster,pm25,38.0,µg/m³
+London,GB,2019-04-17 13:00:00+00:00,London Westminster,pm25,38.0,µg/m³
+London,GB,2019-04-17 12:00:00+00:00,London Westminster,pm25,38.0,µg/m³
+London,GB,2019-04-17 11:00:00+00:00,London Westminster,pm25,38.0,µg/m³
+London,GB,2019-04-17 10:00:00+00:00,London Westminster,pm25,38.0,µg/m³
+London,GB,2019-04-17 09:00:00+00:00,London Westminster,pm25,39.0,µg/m³
+London,GB,2019-04-17 08:00:00+00:00,London Westminster,pm25,39.0,µg/m³
+London,GB,2019-04-17 07:00:00+00:00,London Westminster,pm25,40.0,µg/m³
+London,GB,2019-04-17 06:00:00+00:00,London Westminster,pm25,40.0,µg/m³
+London,GB,2019-04-17 05:00:00+00:00,London Westminster,pm25,41.0,µg/m³
+London,GB,2019-04-17 04:00:00+00:00,London Westminster,pm25,42.0,µg/m³
+London,GB,2019-04-17 03:00:00+00:00,London Westminster,pm25,42.0,µg/m³
+London,GB,2019-04-17 02:00:00+00:00,London Westminster,pm25,43.0,µg/m³
+London,GB,2019-04-17 00:00:00+00:00,London Westminster,pm25,43.0,µg/m³
+London,GB,2019-04-16 23:00:00+00:00,London Westminster,pm25,43.0,µg/m³
+London,GB,2019-04-16 22:00:00+00:00,London Westminster,pm25,43.0,µg/m³
+London,GB,2019-04-16 21:00:00+00:00,London Westminster,pm25,43.0,µg/m³
+London,GB,2019-04-16 20:00:00+00:00,London Westminster,pm25,43.0,µg/m³
+London,GB,2019-04-16 19:00:00+00:00,London Westminster,pm25,43.0,µg/m³
+London,GB,2019-04-16 18:00:00+00:00,London Westminster,pm25,43.0,µg/m³
+London,GB,2019-04-16 17:00:00+00:00,London Westminster,pm25,43.0,µg/m³
+London,GB,2019-04-16 15:00:00+00:00,London Westminster,pm25,41.0,µg/m³
+London,GB,2019-04-16 14:00:00+00:00,London Westminster,pm25,41.0,µg/m³
+London,GB,2019-04-16 13:00:00+00:00,London Westminster,pm25,41.0,µg/m³
+London,GB,2019-04-16 12:00:00+00:00,London Westminster,pm25,40.0,µg/m³
+London,GB,2019-04-16 11:00:00+00:00,London Westminster,pm25,40.0,µg/m³
+London,GB,2019-04-16 10:00:00+00:00,London Westminster,pm25,38.0,µg/m³
+London,GB,2019-04-16 09:00:00+00:00,London Westminster,pm25,37.0,µg/m³
+London,GB,2019-04-16 08:00:00+00:00,London Westminster,pm25,36.0,µg/m³
+London,GB,2019-04-16 07:00:00+00:00,London Westminster,pm25,36.0,µg/m³
+London,GB,2019-04-16 06:00:00+00:00,London Westminster,pm25,35.0,µg/m³
+London,GB,2019-04-16 05:00:00+00:00,London Westminster,pm25,34.0,µg/m³
+London,GB,2019-04-16 04:00:00+00:00,London Westminster,pm25,32.0,µg/m³
+London,GB,2019-04-16 03:00:00+00:00,London Westminster,pm25,32.0,µg/m³
+London,GB,2019-04-16 02:00:00+00:00,London Westminster,pm25,31.0,µg/m³
+London,GB,2019-04-16 00:00:00+00:00,London Westminster,pm25,30.0,µg/m³
+London,GB,2019-04-15 23:00:00+00:00,London Westminster,pm25,30.0,µg/m³
+London,GB,2019-04-15 22:00:00+00:00,London Westminster,pm25,29.0,µg/m³
+London,GB,2019-04-15 21:00:00+00:00,London Westminster,pm25,29.0,µg/m³
+London,GB,2019-04-15 20:00:00+00:00,London Westminster,pm25,30.0,µg/m³
+London,GB,2019-04-15 19:00:00+00:00,London Westminster,pm25,30.0,µg/m³
+London,GB,2019-04-15 18:00:00+00:00,London Westminster,pm25,29.0,µg/m³
+London,GB,2019-04-15 17:00:00+00:00,London Westminster,pm25,29.0,µg/m³
+London,GB,2019-04-15 16:00:00+00:00,London Westminster,pm25,29.0,µg/m³
+London,GB,2019-04-15 15:00:00+00:00,London Westminster,pm25,28.0,µg/m³
+London,GB,2019-04-15 14:00:00+00:00,London Westminster,pm25,28.0,µg/m³
+London,GB,2019-04-15 13:00:00+00:00,London Westminster,pm25,27.0,µg/m³
+London,GB,2019-04-15 12:00:00+00:00,London Westminster,pm25,27.0,µg/m³
+London,GB,2019-04-15 11:00:00+00:00,London Westminster,pm25,26.0,µg/m³
+London,GB,2019-04-15 10:00:00+00:00,London Westminster,pm25,26.0,µg/m³
+London,GB,2019-04-15 09:00:00+00:00,London Westminster,pm25,25.0,µg/m³
+London,GB,2019-04-15 08:00:00+00:00,London Westminster,pm25,24.0,µg/m³
+London,GB,2019-04-15 07:00:00+00:00,London Westminster,pm25,24.0,µg/m³
+London,GB,2019-04-15 06:00:00+00:00,London Westminster,pm25,23.0,µg/m³
+London,GB,2019-04-15 05:00:00+00:00,London Westminster,pm25,22.0,µg/m³
+London,GB,2019-04-15 04:00:00+00:00,London Westminster,pm25,22.0,µg/m³
+London,GB,2019-04-15 03:00:00+00:00,London Westminster,pm25,21.0,µg/m³
+London,GB,2019-04-15 02:00:00+00:00,London Westminster,pm25,20.0,µg/m³
+London,GB,2019-04-15 01:00:00+00:00,London Westminster,pm25,19.0,µg/m³
+London,GB,2019-04-15 00:00:00+00:00,London Westminster,pm25,18.0,µg/m³
+London,GB,2019-04-14 23:00:00+00:00,London Westminster,pm25,17.0,µg/m³
+London,GB,2019-04-14 22:00:00+00:00,London Westminster,pm25,16.0,µg/m³
+London,GB,2019-04-14 21:00:00+00:00,London Westminster,pm25,15.0,µg/m³
+London,GB,2019-04-14 20:00:00+00:00,London Westminster,pm25,14.0,µg/m³
+London,GB,2019-04-14 19:00:00+00:00,London Westminster,pm25,13.0,µg/m³
+London,GB,2019-04-14 18:00:00+00:00,London Westminster,pm25,12.0,µg/m³
+London,GB,2019-04-14 17:00:00+00:00,London Westminster,pm25,12.0,µg/m³
+London,GB,2019-04-14 16:00:00+00:00,London Westminster,pm25,11.0,µg/m³
+London,GB,2019-04-14 15:00:00+00:00,London Westminster,pm25,11.0,µg/m³
+London,GB,2019-04-14 14:00:00+00:00,London Westminster,pm25,11.0,µg/m³
+London,GB,2019-04-14 13:00:00+00:00,London Westminster,pm25,11.0,µg/m³
+London,GB,2019-04-14 12:00:00+00:00,London Westminster,pm25,11.0,µg/m³
+London,GB,2019-04-14 11:00:00+00:00,London Westminster,pm25,11.0,µg/m³
+London,GB,2019-04-14 10:00:00+00:00,London Westminster,pm25,11.0,µg/m³
+London,GB,2019-04-14 09:00:00+00:00,London Westminster,pm25,11.0,µg/m³
+London,GB,2019-04-14 08:00:00+00:00,London Westminster,pm25,12.0,µg/m³
+London,GB,2019-04-14 07:00:00+00:00,London Westminster,pm25,12.0,µg/m³
+London,GB,2019-04-14 06:00:00+00:00,London Westminster,pm25,12.0,µg/m³
+London,GB,2019-04-14 05:00:00+00:00,London Westminster,pm25,12.0,µg/m³
+London,GB,2019-04-14 04:00:00+00:00,London Westminster,pm25,12.0,µg/m³
+London,GB,2019-04-14 03:00:00+00:00,London Westminster,pm25,12.0,µg/m³
+London,GB,2019-04-14 02:00:00+00:00,London Westminster,pm25,13.0,µg/m³
+London,GB,2019-04-14 01:00:00+00:00,London Westminster,pm25,12.0,µg/m³
+London,GB,2019-04-14 00:00:00+00:00,London Westminster,pm25,12.0,µg/m³
+London,GB,2019-04-13 23:00:00+00:00,London Westminster,pm25,13.0,µg/m³
+London,GB,2019-04-13 22:00:00+00:00,London Westminster,pm25,13.0,µg/m³
+London,GB,2019-04-13 21:00:00+00:00,London Westminster,pm25,13.0,µg/m³
+London,GB,2019-04-13 20:00:00+00:00,London Westminster,pm25,13.0,µg/m³
+London,GB,2019-04-13 19:00:00+00:00,London Westminster,pm25,13.0,µg/m³
+London,GB,2019-04-13 18:00:00+00:00,London Westminster,pm25,13.0,µg/m³
+London,GB,2019-04-13 17:00:00+00:00,London Westminster,pm25,13.0,µg/m³
+London,GB,2019-04-13 16:00:00+00:00,London Westminster,pm25,14.0,µg/m³
+London,GB,2019-04-13 15:00:00+00:00,London Westminster,pm25,14.0,µg/m³
+London,GB,2019-04-13 14:00:00+00:00,London Westminster,pm25,14.0,µg/m³
+London,GB,2019-04-13 13:00:00+00:00,London Westminster,pm25,14.0,µg/m³
+London,GB,2019-04-13 12:00:00+00:00,London Westminster,pm25,14.0,µg/m³
+London,GB,2019-04-13 11:00:00+00:00,London Westminster,pm25,14.0,µg/m³
+London,GB,2019-04-13 10:00:00+00:00,London Westminster,pm25,14.0,µg/m³
+London,GB,2019-04-13 09:00:00+00:00,London Westminster,pm25,14.0,µg/m³
+London,GB,2019-04-13 08:00:00+00:00,London Westminster,pm25,13.0,µg/m³
+London,GB,2019-04-13 07:00:00+00:00,London Westminster,pm25,13.0,µg/m³
+London,GB,2019-04-13 06:00:00+00:00,London Westminster,pm25,13.0,µg/m³
+London,GB,2019-04-13 05:00:00+00:00,London Westminster,pm25,13.0,µg/m³
+London,GB,2019-04-13 04:00:00+00:00,London Westminster,pm25,13.0,µg/m³
+London,GB,2019-04-13 03:00:00+00:00,London Westminster,pm25,13.0,µg/m³
+London,GB,2019-04-13 02:00:00+00:00,London Westminster,pm25,13.0,µg/m³
+London,GB,2019-04-13 01:00:00+00:00,London Westminster,pm25,13.0,µg/m³
+London,GB,2019-04-13 00:00:00+00:00,London Westminster,pm25,13.0,µg/m³
+London,GB,2019-04-12 23:00:00+00:00,London Westminster,pm25,13.0,µg/m³
+London,GB,2019-04-12 22:00:00+00:00,London Westminster,pm25,13.0,µg/m³
+London,GB,2019-04-12 21:00:00+00:00,London Westminster,pm25,13.0,µg/m³
+London,GB,2019-04-12 20:00:00+00:00,London Westminster,pm25,13.0,µg/m³
+London,GB,2019-04-12 19:00:00+00:00,London Westminster,pm25,13.0,µg/m³
+London,GB,2019-04-12 18:00:00+00:00,London Westminster,pm25,13.0,µg/m³
+London,GB,2019-04-12 17:00:00+00:00,London Westminster,pm25,13.0,µg/m³
+London,GB,2019-04-12 16:00:00+00:00,London Westminster,pm25,13.0,µg/m³
+London,GB,2019-04-12 15:00:00+00:00,London Westminster,pm25,13.0,µg/m³
+London,GB,2019-04-12 14:00:00+00:00,London Westminster,pm25,13.0,µg/m³
+London,GB,2019-04-12 13:00:00+00:00,London Westminster,pm25,12.0,µg/m³
+London,GB,2019-04-12 12:00:00+00:00,London Westminster,pm25,13.0,µg/m³
+London,GB,2019-04-12 11:00:00+00:00,London Westminster,pm25,12.0,µg/m³
+London,GB,2019-04-12 10:00:00+00:00,London Westminster,pm25,12.0,µg/m³
+London,GB,2019-04-12 09:00:00+00:00,London Westminster,pm25,12.0,µg/m³
+London,GB,2019-04-12 08:00:00+00:00,London Westminster,pm25,12.0,µg/m³
+London,GB,2019-04-12 07:00:00+00:00,London Westminster,pm25,12.0,µg/m³
+London,GB,2019-04-12 06:00:00+00:00,London Westminster,pm25,12.0,µg/m³
+London,GB,2019-04-12 05:00:00+00:00,London Westminster,pm25,11.0,µg/m³
+London,GB,2019-04-12 04:00:00+00:00,London Westminster,pm25,11.0,µg/m³
+London,GB,2019-04-12 03:00:00+00:00,London Westminster,pm25,11.0,µg/m³
+London,GB,2019-04-12 00:00:00+00:00,London Westminster,pm25,11.0,µg/m³
+London,GB,2019-04-11 23:00:00+00:00,London Westminster,pm25,11.0,µg/m³
+London,GB,2019-04-11 22:00:00+00:00,London Westminster,pm25,10.0,µg/m³
+London,GB,2019-04-11 21:00:00+00:00,London Westminster,pm25,10.0,µg/m³
+London,GB,2019-04-11 20:00:00+00:00,London Westminster,pm25,10.0,µg/m³
+London,GB,2019-04-11 19:00:00+00:00,London Westminster,pm25,10.0,µg/m³
+London,GB,2019-04-11 18:00:00+00:00,London Westminster,pm25,10.0,µg/m³
+London,GB,2019-04-11 17:00:00+00:00,London Westminster,pm25,10.0,µg/m³
+London,GB,2019-04-11 16:00:00+00:00,London Westminster,pm25,10.0,µg/m³
+London,GB,2019-04-11 15:00:00+00:00,London Westminster,pm25,10.0,µg/m³
+London,GB,2019-04-11 14:00:00+00:00,London Westminster,pm25,10.0,µg/m³
+London,GB,2019-04-11 13:00:00+00:00,London Westminster,pm25,10.0,µg/m³
+London,GB,2019-04-11 12:00:00+00:00,London Westminster,pm25,9.0,µg/m³
+London,GB,2019-04-11 11:00:00+00:00,London Westminster,pm25,9.0,µg/m³
+London,GB,2019-04-11 10:00:00+00:00,London Westminster,pm25,9.0,µg/m³
+London,GB,2019-04-11 09:00:00+00:00,London Westminster,pm25,9.0,µg/m³
+London,GB,2019-04-11 08:00:00+00:00,London Westminster,pm25,9.0,µg/m³
+London,GB,2019-04-11 07:00:00+00:00,London Westminster,pm25,10.0,µg/m³
+London,GB,2019-04-11 06:00:00+00:00,London Westminster,pm25,10.0,µg/m³
+London,GB,2019-04-11 05:00:00+00:00,London Westminster,pm25,10.0,µg/m³
+London,GB,2019-04-11 04:00:00+00:00,London Westminster,pm25,10.0,µg/m³
+London,GB,2019-04-11 03:00:00+00:00,London Westminster,pm25,11.0,µg/m³
+London,GB,2019-04-11 02:00:00+00:00,London Westminster,pm25,11.0,µg/m³
+London,GB,2019-04-11 00:00:00+00:00,London Westminster,pm25,11.0,µg/m³
+London,GB,2019-04-10 23:00:00+00:00,London Westminster,pm25,12.0,µg/m³
+London,GB,2019-04-10 22:00:00+00:00,London Westminster,pm25,12.0,µg/m³
+London,GB,2019-04-10 21:00:00+00:00,London Westminster,pm25,13.0,µg/m³
+London,GB,2019-04-10 20:00:00+00:00,London Westminster,pm25,13.0,µg/m³
+London,GB,2019-04-10 19:00:00+00:00,London Westminster,pm25,13.0,µg/m³
+London,GB,2019-04-10 18:00:00+00:00,London Westminster,pm25,13.0,µg/m³
+London,GB,2019-04-10 17:00:00+00:00,London Westminster,pm25,13.0,µg/m³
+London,GB,2019-04-10 16:00:00+00:00,London Westminster,pm25,14.0,µg/m³
+London,GB,2019-04-10 15:00:00+00:00,London Westminster,pm25,14.0,µg/m³
+London,GB,2019-04-10 14:00:00+00:00,London Westminster,pm25,15.0,µg/m³
+London,GB,2019-04-10 13:00:00+00:00,London Westminster,pm25,16.0,µg/m³
+London,GB,2019-04-10 12:00:00+00:00,London Westminster,pm25,16.0,µg/m³
+London,GB,2019-04-10 11:00:00+00:00,London Westminster,pm25,17.0,µg/m³
+London,GB,2019-04-10 10:00:00+00:00,London Westminster,pm25,18.0,µg/m³
+London,GB,2019-04-10 09:00:00+00:00,London Westminster,pm25,19.0,µg/m³
+London,GB,2019-04-10 08:00:00+00:00,London Westminster,pm25,20.0,µg/m³
+London,GB,2019-04-10 07:00:00+00:00,London Westminster,pm25,20.0,µg/m³
+London,GB,2019-04-10 06:00:00+00:00,London Westminster,pm25,21.0,µg/m³
+London,GB,2019-04-10 05:00:00+00:00,London Westminster,pm25,22.0,µg/m³
+London,GB,2019-04-10 04:00:00+00:00,London Westminster,pm25,24.0,µg/m³
+London,GB,2019-04-10 03:00:00+00:00,London Westminster,pm25,26.0,µg/m³
+London,GB,2019-04-10 02:00:00+00:00,London Westminster,pm25,27.0,µg/m³
+London,GB,2019-04-10 01:00:00+00:00,London Westminster,pm25,29.0,µg/m³
+London,GB,2019-04-10 00:00:00+00:00,London Westminster,pm25,30.0,µg/m³
+London,GB,2019-04-09 23:00:00+00:00,London Westminster,pm25,32.0,µg/m³
+London,GB,2019-04-09 22:00:00+00:00,London Westminster,pm25,34.0,µg/m³
+London,GB,2019-04-09 21:00:00+00:00,London Westminster,pm25,35.0,µg/m³
+London,GB,2019-04-09 20:00:00+00:00,London Westminster,pm25,36.0,µg/m³
+London,GB,2019-04-09 19:00:00+00:00,London Westminster,pm25,37.0,µg/m³
+London,GB,2019-04-09 18:00:00+00:00,London Westminster,pm25,38.0,µg/m³
+London,GB,2019-04-09 17:00:00+00:00,London Westminster,pm25,39.0,µg/m³
+London,GB,2019-04-09 16:00:00+00:00,London Westminster,pm25,39.0,µg/m³
+London,GB,2019-04-09 15:00:00+00:00,London Westminster,pm25,40.0,µg/m³
+London,GB,2019-04-09 14:00:00+00:00,London Westminster,pm25,41.0,µg/m³
+London,GB,2019-04-09 13:00:00+00:00,London Westminster,pm25,41.0,µg/m³
+London,GB,2019-04-09 12:00:00+00:00,London Westminster,pm25,42.0,µg/m³
+London,GB,2019-04-09 11:00:00+00:00,London Westminster,pm25,42.0,µg/m³
+London,GB,2019-04-09 10:00:00+00:00,London Westminster,pm25,42.0,µg/m³
+London,GB,2019-04-09 09:00:00+00:00,London Westminster,pm25,43.0,µg/m³
+London,GB,2019-04-09 08:00:00+00:00,London Westminster,pm25,43.0,µg/m³
+London,GB,2019-04-09 07:00:00+00:00,London Westminster,pm25,43.0,µg/m³
+London,GB,2019-04-09 06:00:00+00:00,London Westminster,pm25,44.0,µg/m³
+London,GB,2019-04-09 05:00:00+00:00,London Westminster,pm25,44.0,µg/m³
+London,GB,2019-04-09 04:00:00+00:00,London Westminster,pm25,43.0,µg/m³
+London,GB,2019-04-09 03:00:00+00:00,London Westminster,pm25,42.0,µg/m³
+London,GB,2019-04-09 02:00:00+00:00,London Westminster,pm25,42.0,µg/m³
+Paris,FR,2019-06-21 00:00:00+00:00,FR04014,no2,20.0,µg/m³
+Paris,FR,2019-06-20 23:00:00+00:00,FR04014,no2,21.8,µg/m³
+Paris,FR,2019-06-20 22:00:00+00:00,FR04014,no2,26.5,µg/m³
+Paris,FR,2019-06-20 21:00:00+00:00,FR04014,no2,24.9,µg/m³
+Paris,FR,2019-06-20 20:00:00+00:00,FR04014,no2,21.4,µg/m³
+Paris,FR,2019-06-20 19:00:00+00:00,FR04014,no2,25.3,µg/m³
+Paris,FR,2019-06-20 18:00:00+00:00,FR04014,no2,23.9,µg/m³
+Paris,FR,2019-06-20 17:00:00+00:00,FR04014,no2,23.2,µg/m³
+Paris,FR,2019-06-20 16:00:00+00:00,FR04014,no2,19.0,µg/m³
+Paris,FR,2019-06-20 15:00:00+00:00,FR04014,no2,19.3,µg/m³
+Paris,FR,2019-06-20 14:00:00+00:00,FR04014,no2,20.1,µg/m³
+Paris,FR,2019-06-20 13:00:00+00:00,FR04014,no2,19.4,µg/m³
+Paris,FR,2019-06-19 10:00:00+00:00,FR04014,no2,26.6,µg/m³
+Paris,FR,2019-06-19 09:00:00+00:00,FR04014,no2,27.3,µg/m³
+Paris,FR,2019-06-18 22:00:00+00:00,FR04014,no2,39.3,µg/m³
+Paris,FR,2019-06-18 21:00:00+00:00,FR04014,no2,23.1,µg/m³
+Paris,FR,2019-06-18 20:00:00+00:00,FR04014,no2,17.0,µg/m³
+Paris,FR,2019-06-18 19:00:00+00:00,FR04014,no2,15.3,µg/m³
+Paris,FR,2019-06-18 08:00:00+00:00,FR04014,no2,49.6,µg/m³
+Paris,FR,2019-06-18 07:00:00+00:00,FR04014,no2,52.6,µg/m³
+Paris,FR,2019-06-18 06:00:00+00:00,FR04014,no2,51.4,µg/m³
+Paris,FR,2019-06-18 05:00:00+00:00,FR04014,no2,33.8,µg/m³
+Paris,FR,2019-06-18 04:00:00+00:00,FR04014,no2,26.5,µg/m³
+Paris,FR,2019-06-18 03:00:00+00:00,FR04014,no2,45.5,µg/m³
+Paris,FR,2019-06-18 02:00:00+00:00,FR04014,no2,39.8,µg/m³
+Paris,FR,2019-06-18 01:00:00+00:00,FR04014,no2,60.1,µg/m³
+Paris,FR,2019-06-18 00:00:00+00:00,FR04014,no2,66.2,µg/m³
+Paris,FR,2019-06-17 23:00:00+00:00,FR04014,no2,73.3,µg/m³
+Paris,FR,2019-06-17 22:00:00+00:00,FR04014,no2,51.0,µg/m³
+Paris,FR,2019-06-17 21:00:00+00:00,FR04014,no2,38.3,µg/m³
+Paris,FR,2019-06-17 20:00:00+00:00,FR04014,no2,20.5,µg/m³
+Paris,FR,2019-06-17 19:00:00+00:00,FR04014,no2,15.2,µg/m³
+Paris,FR,2019-06-17 18:00:00+00:00,FR04014,no2,15.4,µg/m³
+Paris,FR,2019-06-17 17:00:00+00:00,FR04014,no2,14.9,µg/m³
+Paris,FR,2019-06-17 16:00:00+00:00,FR04014,no2,11.9,µg/m³
+Paris,FR,2019-06-17 15:00:00+00:00,FR04014,no2,13.1,µg/m³
+Paris,FR,2019-06-17 14:00:00+00:00,FR04014,no2,11.5,µg/m³
+Paris,FR,2019-06-17 13:00:00+00:00,FR04014,no2,9.6,µg/m³
+Paris,FR,2019-06-17 12:00:00+00:00,FR04014,no2,10.1,µg/m³
+Paris,FR,2019-06-17 11:00:00+00:00,FR04014,no2,15.2,µg/m³
+Paris,FR,2019-06-17 10:00:00+00:00,FR04014,no2,16.0,µg/m³
+Paris,FR,2019-06-17 09:00:00+00:00,FR04014,no2,30.4,µg/m³
+Paris,FR,2019-06-17 08:00:00+00:00,FR04014,no2,51.6,µg/m³
+Paris,FR,2019-06-17 07:00:00+00:00,FR04014,no2,54.4,µg/m³
+Paris,FR,2019-06-17 06:00:00+00:00,FR04014,no2,52.3,µg/m³
+Paris,FR,2019-06-17 05:00:00+00:00,FR04014,no2,44.8,µg/m³
+Paris,FR,2019-06-17 04:00:00+00:00,FR04014,no2,45.7,µg/m³
+Paris,FR,2019-06-17 03:00:00+00:00,FR04014,no2,49.1,µg/m³
+Paris,FR,2019-06-17 02:00:00+00:00,FR04014,no2,53.1,µg/m³
+Paris,FR,2019-06-17 01:00:00+00:00,FR04014,no2,58.8,µg/m³
+Paris,FR,2019-06-17 00:00:00+00:00,FR04014,no2,69.3,µg/m³
+Paris,FR,2019-06-16 23:00:00+00:00,FR04014,no2,67.3,µg/m³
+Paris,FR,2019-06-16 22:00:00+00:00,FR04014,no2,56.6,µg/m³
+Paris,FR,2019-06-16 21:00:00+00:00,FR04014,no2,42.7,µg/m³
+Paris,FR,2019-06-16 20:00:00+00:00,FR04014,no2,23.3,µg/m³
+Paris,FR,2019-06-16 19:00:00+00:00,FR04014,no2,14.4,µg/m³
+Paris,FR,2019-06-16 18:00:00+00:00,FR04014,no2,12.3,µg/m³
+Paris,FR,2019-06-16 17:00:00+00:00,FR04014,no2,11.8,µg/m³
+Paris,FR,2019-06-16 16:00:00+00:00,FR04014,no2,9.2,µg/m³
+Paris,FR,2019-06-16 15:00:00+00:00,FR04014,no2,8.4,µg/m³
+Paris,FR,2019-06-16 14:00:00+00:00,FR04014,no2,8.1,µg/m³
+Paris,FR,2019-06-16 13:00:00+00:00,FR04014,no2,8.7,µg/m³
+Paris,FR,2019-06-16 12:00:00+00:00,FR04014,no2,11.2,µg/m³
+Paris,FR,2019-06-16 11:00:00+00:00,FR04014,no2,12.9,µg/m³
+Paris,FR,2019-06-16 10:00:00+00:00,FR04014,no2,8.7,µg/m³
+Paris,FR,2019-06-16 09:00:00+00:00,FR04014,no2,9.4,µg/m³
+Paris,FR,2019-06-16 08:00:00+00:00,FR04014,no2,9.9,µg/m³
+Paris,FR,2019-06-16 07:00:00+00:00,FR04014,no2,10.2,µg/m³
+Paris,FR,2019-06-16 06:00:00+00:00,FR04014,no2,11.6,µg/m³
+Paris,FR,2019-06-16 05:00:00+00:00,FR04014,no2,14.0,µg/m³
+Paris,FR,2019-06-16 04:00:00+00:00,FR04014,no2,11.7,µg/m³
+Paris,FR,2019-06-16 03:00:00+00:00,FR04014,no2,11.2,µg/m³
+Paris,FR,2019-06-16 02:00:00+00:00,FR04014,no2,11.4,µg/m³
+Paris,FR,2019-06-16 01:00:00+00:00,FR04014,no2,12.8,µg/m³
+Paris,FR,2019-06-16 00:00:00+00:00,FR04014,no2,16.5,µg/m³
+Paris,FR,2019-06-15 23:00:00+00:00,FR04014,no2,22.6,µg/m³
+Paris,FR,2019-06-15 22:00:00+00:00,FR04014,no2,20.1,µg/m³
+Paris,FR,2019-06-15 21:00:00+00:00,FR04014,no2,17.2,µg/m³
+Paris,FR,2019-06-15 20:00:00+00:00,FR04014,no2,15.2,µg/m³
+Paris,FR,2019-06-15 19:00:00+00:00,FR04014,no2,14.2,µg/m³
+Paris,FR,2019-06-15 18:00:00+00:00,FR04014,no2,14.0,µg/m³
+Paris,FR,2019-06-15 17:00:00+00:00,FR04014,no2,11.1,µg/m³
+Paris,FR,2019-06-15 16:00:00+00:00,FR04014,no2,10.7,µg/m³
+Paris,FR,2019-06-15 15:00:00+00:00,FR04014,no2,10.5,µg/m³
+Paris,FR,2019-06-15 14:00:00+00:00,FR04014,no2,9.6,µg/m³
+Paris,FR,2019-06-15 13:00:00+00:00,FR04014,no2,9.0,µg/m³
+Paris,FR,2019-06-15 12:00:00+00:00,FR04014,no2,9.4,µg/m³
+Paris,FR,2019-06-15 11:00:00+00:00,FR04014,no2,11.1,µg/m³
+Paris,FR,2019-06-15 10:00:00+00:00,FR04014,no2,12.1,µg/m³
+Paris,FR,2019-06-15 09:00:00+00:00,FR04014,no2,14.0,µg/m³
+Paris,FR,2019-06-15 08:00:00+00:00,FR04014,no2,17.6,µg/m³
+Paris,FR,2019-06-15 07:00:00+00:00,FR04014,no2,24.1,µg/m³
+Paris,FR,2019-06-15 06:00:00+00:00,FR04014,no2,35.8,µg/m³
+Paris,FR,2019-06-15 02:00:00+00:00,FR04014,no2,33.9,µg/m³
+Paris,FR,2019-06-15 01:00:00+00:00,FR04014,no2,29.0,µg/m³
+Paris,FR,2019-06-15 00:00:00+00:00,FR04014,no2,29.6,µg/m³
+Paris,FR,2019-06-14 23:00:00+00:00,FR04014,no2,32.1,µg/m³
+Paris,FR,2019-06-14 22:00:00+00:00,FR04014,no2,35.3,µg/m³
+Paris,FR,2019-06-14 21:00:00+00:00,FR04014,no2,55.0,µg/m³
+Paris,FR,2019-06-14 20:00:00+00:00,FR04014,no2,41.9,µg/m³
+Paris,FR,2019-06-14 19:00:00+00:00,FR04014,no2,25.0,µg/m³
+Paris,FR,2019-06-14 18:00:00+00:00,FR04014,no2,19.0,µg/m³
+Paris,FR,2019-06-14 17:00:00+00:00,FR04014,no2,16.6,µg/m³
+Paris,FR,2019-06-14 16:00:00+00:00,FR04014,no2,18.9,µg/m³
+Paris,FR,2019-06-14 15:00:00+00:00,FR04014,no2,15.2,µg/m³
+Paris,FR,2019-06-14 14:00:00+00:00,FR04014,no2,14.2,µg/m³
+Paris,FR,2019-06-14 13:00:00+00:00,FR04014,no2,15.4,µg/m³
+Paris,FR,2019-06-14 12:00:00+00:00,FR04014,no2,17.1,µg/m³
+Paris,FR,2019-06-14 11:00:00+00:00,FR04014,no2,21.8,µg/m³
+Paris,FR,2019-06-14 10:00:00+00:00,FR04014,no2,25.1,µg/m³
+Paris,FR,2019-06-14 09:00:00+00:00,FR04014,no2,27.9,µg/m³
+Paris,FR,2019-06-14 08:00:00+00:00,FR04014,no2,34.3,µg/m³
+Paris,FR,2019-06-14 07:00:00+00:00,FR04014,no2,51.5,µg/m³
+Paris,FR,2019-06-14 06:00:00+00:00,FR04014,no2,64.3,µg/m³
+Paris,FR,2019-06-14 05:00:00+00:00,FR04014,no2,49.3,µg/m³
+Paris,FR,2019-06-14 04:00:00+00:00,FR04014,no2,37.9,µg/m³
+Paris,FR,2019-06-14 03:00:00+00:00,FR04014,no2,48.5,µg/m³
+Paris,FR,2019-06-14 02:00:00+00:00,FR04014,no2,66.6,µg/m³
+Paris,FR,2019-06-14 01:00:00+00:00,FR04014,no2,68.1,µg/m³
+Paris,FR,2019-06-14 00:00:00+00:00,FR04014,no2,74.2,µg/m³
+Paris,FR,2019-06-13 23:00:00+00:00,FR04014,no2,78.3,µg/m³
+Paris,FR,2019-06-13 22:00:00+00:00,FR04014,no2,77.9,µg/m³
+Paris,FR,2019-06-13 21:00:00+00:00,FR04014,no2,58.8,µg/m³
+Paris,FR,2019-06-13 20:00:00+00:00,FR04014,no2,31.5,µg/m³
+Paris,FR,2019-06-13 19:00:00+00:00,FR04014,no2,27.5,µg/m³
+Paris,FR,2019-06-13 18:00:00+00:00,FR04014,no2,24.0,µg/m³
+Paris,FR,2019-06-13 17:00:00+00:00,FR04014,no2,38.2,µg/m³
+Paris,FR,2019-06-13 16:00:00+00:00,FR04014,no2,36.1,µg/m³
+Paris,FR,2019-06-13 15:00:00+00:00,FR04014,no2,28.8,µg/m³
+Paris,FR,2019-06-13 14:00:00+00:00,FR04014,no2,19.4,µg/m³
+Paris,FR,2019-06-13 13:00:00+00:00,FR04014,no2,18.2,µg/m³
+Paris,FR,2019-06-13 12:00:00+00:00,FR04014,no2,17.9,µg/m³
+Paris,FR,2019-06-13 11:00:00+00:00,FR04014,no2,22.7,µg/m³
+Paris,FR,2019-06-13 10:00:00+00:00,FR04014,no2,24.5,µg/m³
+Paris,FR,2019-06-13 09:00:00+00:00,FR04014,no2,30.2,µg/m³
+Paris,FR,2019-06-13 08:00:00+00:00,FR04014,no2,35.3,µg/m³
+Paris,FR,2019-06-13 07:00:00+00:00,FR04014,no2,40.9,µg/m³
+Paris,FR,2019-06-13 06:00:00+00:00,FR04014,no2,39.8,µg/m³
+Paris,FR,2019-06-13 05:00:00+00:00,FR04014,no2,37.0,µg/m³
+Paris,FR,2019-06-13 04:00:00+00:00,FR04014,no2,24.6,µg/m³
+Paris,FR,2019-06-13 03:00:00+00:00,FR04014,no2,18.8,µg/m³
+Paris,FR,2019-06-13 02:00:00+00:00,FR04014,no2,18.0,µg/m³
+Paris,FR,2019-06-13 01:00:00+00:00,FR04014,no2,18.7,µg/m³
+Paris,FR,2019-06-13 00:00:00+00:00,FR04014,no2,20.0,µg/m³
+Paris,FR,2019-06-12 23:00:00+00:00,FR04014,no2,26.9,µg/m³
+Paris,FR,2019-06-12 22:00:00+00:00,FR04014,no2,25.6,µg/m³
+Paris,FR,2019-06-12 21:00:00+00:00,FR04014,no2,29.3,µg/m³
+Paris,FR,2019-06-12 20:00:00+00:00,FR04014,no2,29.2,µg/m³
+Paris,FR,2019-06-12 19:00:00+00:00,FR04014,no2,23.4,µg/m³
+Paris,FR,2019-06-12 18:00:00+00:00,FR04014,no2,25.3,µg/m³
+Paris,FR,2019-06-12 17:00:00+00:00,FR04014,no2,24.2,µg/m³
+Paris,FR,2019-06-12 16:00:00+00:00,FR04014,no2,23.6,µg/m³
+Paris,FR,2019-06-12 15:00:00+00:00,FR04014,no2,16.8,µg/m³
+Paris,FR,2019-06-12 14:00:00+00:00,FR04014,no2,20.3,µg/m³
+Paris,FR,2019-06-12 13:00:00+00:00,FR04014,no2,17.9,µg/m³
+Paris,FR,2019-06-12 12:00:00+00:00,FR04014,no2,15.4,µg/m³
+Paris,FR,2019-06-12 11:00:00+00:00,FR04014,no2,0.0,µg/m³
+Paris,FR,2019-06-12 10:00:00+00:00,FR04014,no2,0.0,µg/m³
+Paris,FR,2019-06-12 09:00:00+00:00,FR04014,no2,26.7,µg/m³
+Paris,FR,2019-06-12 08:00:00+00:00,FR04014,no2,35.5,µg/m³
+Paris,FR,2019-06-12 07:00:00+00:00,FR04014,no2,44.4,µg/m³
+Paris,FR,2019-06-12 06:00:00+00:00,FR04014,no2,38.4,µg/m³
+Paris,FR,2019-06-12 05:00:00+00:00,FR04014,no2,42.7,µg/m³
+Paris,FR,2019-06-12 04:00:00+00:00,FR04014,no2,44.9,µg/m³
+Paris,FR,2019-06-12 03:00:00+00:00,FR04014,no2,36.3,µg/m³
+Paris,FR,2019-06-12 02:00:00+00:00,FR04014,no2,34.7,µg/m³
+Paris,FR,2019-06-12 01:00:00+00:00,FR04014,no2,41.9,µg/m³
+Paris,FR,2019-06-12 00:00:00+00:00,FR04014,no2,37.2,µg/m³
+Paris,FR,2019-06-11 23:00:00+00:00,FR04014,no2,41.5,µg/m³
+Paris,FR,2019-06-11 22:00:00+00:00,FR04014,no2,59.4,µg/m³
+Paris,FR,2019-06-11 21:00:00+00:00,FR04014,no2,54.1,µg/m³
+Paris,FR,2019-06-11 20:00:00+00:00,FR04014,no2,42.7,µg/m³
+Paris,FR,2019-06-11 19:00:00+00:00,FR04014,no2,36.1,µg/m³
+Paris,FR,2019-06-11 18:00:00+00:00,FR04014,no2,44.6,µg/m³
+Paris,FR,2019-06-11 17:00:00+00:00,FR04014,no2,35.5,µg/m³
+Paris,FR,2019-06-11 16:00:00+00:00,FR04014,no2,22.6,µg/m³
+Paris,FR,2019-06-11 15:00:00+00:00,FR04014,no2,19.8,µg/m³
+Paris,FR,2019-06-11 14:00:00+00:00,FR04014,no2,16.6,µg/m³
+Paris,FR,2019-06-11 13:00:00+00:00,FR04014,no2,13.1,µg/m³
+Paris,FR,2019-06-11 12:00:00+00:00,FR04014,no2,12.6,µg/m³
+Paris,FR,2019-06-11 11:00:00+00:00,FR04014,no2,17.3,µg/m³
+Paris,FR,2019-06-11 10:00:00+00:00,FR04014,no2,22.1,µg/m³
+Paris,FR,2019-06-11 09:00:00+00:00,FR04014,no2,31.7,µg/m³
+Paris,FR,2019-06-11 08:00:00+00:00,FR04014,no2,43.6,µg/m³
+Paris,FR,2019-06-11 07:00:00+00:00,FR04014,no2,58.0,µg/m³
+Paris,FR,2019-06-11 06:00:00+00:00,FR04014,no2,55.4,µg/m³
+Paris,FR,2019-06-11 05:00:00+00:00,FR04014,no2,58.7,µg/m³
+Paris,FR,2019-06-11 04:00:00+00:00,FR04014,no2,52.7,µg/m³
+Paris,FR,2019-06-11 03:00:00+00:00,FR04014,no2,32.3,µg/m³
+Paris,FR,2019-06-11 02:00:00+00:00,FR04014,no2,29.6,µg/m³
+Paris,FR,2019-06-11 01:00:00+00:00,FR04014,no2,19.1,µg/m³
+Paris,FR,2019-06-11 00:00:00+00:00,FR04014,no2,19.6,µg/m³
+Paris,FR,2019-06-10 23:00:00+00:00,FR04014,no2,24.1,µg/m³
+Paris,FR,2019-06-10 22:00:00+00:00,FR04014,no2,24.8,µg/m³
+Paris,FR,2019-06-10 21:00:00+00:00,FR04014,no2,23.5,µg/m³
+Paris,FR,2019-06-10 20:00:00+00:00,FR04014,no2,22.6,µg/m³
+Paris,FR,2019-06-10 19:00:00+00:00,FR04014,no2,22.3,µg/m³
+Paris,FR,2019-06-10 18:00:00+00:00,FR04014,no2,18.4,µg/m³
+Paris,FR,2019-06-10 17:00:00+00:00,FR04014,no2,19.1,µg/m³
+Paris,FR,2019-06-10 16:00:00+00:00,FR04014,no2,15.1,µg/m³
+Paris,FR,2019-06-10 15:00:00+00:00,FR04014,no2,11.7,µg/m³
+Paris,FR,2019-06-10 14:00:00+00:00,FR04014,no2,9.5,µg/m³
+Paris,FR,2019-06-10 13:00:00+00:00,FR04014,no2,9.6,µg/m³
+Paris,FR,2019-06-10 12:00:00+00:00,FR04014,no2,11.7,µg/m³
+Paris,FR,2019-06-10 11:00:00+00:00,FR04014,no2,12.2,µg/m³
+Paris,FR,2019-06-10 10:00:00+00:00,FR04014,no2,14.1,µg/m³
+Paris,FR,2019-06-10 09:00:00+00:00,FR04014,no2,18.5,µg/m³
+Paris,FR,2019-06-10 08:00:00+00:00,FR04014,no2,16.9,µg/m³
+Paris,FR,2019-06-10 07:00:00+00:00,FR04014,no2,23.0,µg/m³
+Paris,FR,2019-06-10 06:00:00+00:00,FR04014,no2,26.7,µg/m³
+Paris,FR,2019-06-10 05:00:00+00:00,FR04014,no2,21.3,µg/m³
+Paris,FR,2019-06-10 04:00:00+00:00,FR04014,no2,13.7,µg/m³
+Paris,FR,2019-06-10 03:00:00+00:00,FR04014,no2,18.0,µg/m³
+Paris,FR,2019-06-10 02:00:00+00:00,FR04014,no2,17.8,µg/m³
+Paris,FR,2019-06-10 01:00:00+00:00,FR04014,no2,19.3,µg/m³
+Paris,FR,2019-06-10 00:00:00+00:00,FR04014,no2,28.1,µg/m³
+Paris,FR,2019-06-09 23:00:00+00:00,FR04014,no2,39.9,µg/m³
+Paris,FR,2019-06-09 22:00:00+00:00,FR04014,no2,37.1,µg/m³
+Paris,FR,2019-06-09 21:00:00+00:00,FR04014,no2,30.9,µg/m³
+Paris,FR,2019-06-09 20:00:00+00:00,FR04014,no2,33.2,µg/m³
+Paris,FR,2019-06-09 19:00:00+00:00,FR04014,no2,30.6,µg/m³
+Paris,FR,2019-06-09 18:00:00+00:00,FR04014,no2,19.5,µg/m³
+Paris,FR,2019-06-09 17:00:00+00:00,FR04014,no2,13.0,µg/m³
+Paris,FR,2019-06-09 16:00:00+00:00,FR04014,no2,10.3,µg/m³
+Paris,FR,2019-06-09 15:00:00+00:00,FR04014,no2,7.2,µg/m³
+Paris,FR,2019-06-09 14:00:00+00:00,FR04014,no2,7.9,µg/m³
+Paris,FR,2019-06-09 13:00:00+00:00,FR04014,no2,10.2,µg/m³
+Paris,FR,2019-06-09 12:00:00+00:00,FR04014,no2,14.6,µg/m³
+Paris,FR,2019-06-09 11:00:00+00:00,FR04014,no2,14.6,µg/m³
+Paris,FR,2019-06-09 10:00:00+00:00,FR04014,no2,16.6,µg/m³
+Paris,FR,2019-06-09 09:00:00+00:00,FR04014,no2,25.0,µg/m³
+Paris,FR,2019-06-09 08:00:00+00:00,FR04014,no2,30.2,µg/m³
+Paris,FR,2019-06-09 07:00:00+00:00,FR04014,no2,32.7,µg/m³
+Paris,FR,2019-06-09 06:00:00+00:00,FR04014,no2,36.7,µg/m³
+Paris,FR,2019-06-09 05:00:00+00:00,FR04014,no2,42.2,µg/m³
+Paris,FR,2019-06-09 04:00:00+00:00,FR04014,no2,43.0,µg/m³
+Paris,FR,2019-06-09 03:00:00+00:00,FR04014,no2,51.5,µg/m³
+Paris,FR,2019-06-09 02:00:00+00:00,FR04014,no2,51.2,µg/m³
+Paris,FR,2019-06-09 01:00:00+00:00,FR04014,no2,41.0,µg/m³
+Paris,FR,2019-06-09 00:00:00+00:00,FR04014,no2,55.9,µg/m³
+Paris,FR,2019-06-08 23:00:00+00:00,FR04014,no2,47.0,µg/m³
+Paris,FR,2019-06-08 22:00:00+00:00,FR04014,no2,34.8,µg/m³
+Paris,FR,2019-06-08 21:00:00+00:00,FR04014,no2,36.7,µg/m³
+Paris,FR,2019-06-08 18:00:00+00:00,FR04014,no2,22.0,µg/m³
+Paris,FR,2019-06-08 17:00:00+00:00,FR04014,no2,14.8,µg/m³
+Paris,FR,2019-06-08 16:00:00+00:00,FR04014,no2,14.1,µg/m³
+Paris,FR,2019-06-08 15:00:00+00:00,FR04014,no2,11.7,µg/m³
+Paris,FR,2019-06-08 14:00:00+00:00,FR04014,no2,10.3,µg/m³
+Paris,FR,2019-06-08 13:00:00+00:00,FR04014,no2,11.1,µg/m³
+Paris,FR,2019-06-08 12:00:00+00:00,FR04014,no2,9.2,µg/m³
+Paris,FR,2019-06-08 11:00:00+00:00,FR04014,no2,10.4,µg/m³
+Paris,FR,2019-06-08 10:00:00+00:00,FR04014,no2,10.3,µg/m³
+Paris,FR,2019-06-08 09:00:00+00:00,FR04014,no2,11.7,µg/m³
+Paris,FR,2019-06-08 08:00:00+00:00,FR04014,no2,13.0,µg/m³
+Paris,FR,2019-06-08 07:00:00+00:00,FR04014,no2,14.0,µg/m³
+Paris,FR,2019-06-08 06:00:00+00:00,FR04014,no2,13.8,µg/m³
+Paris,FR,2019-06-08 05:00:00+00:00,FR04014,no2,14.1,µg/m³
+Paris,FR,2019-06-08 04:00:00+00:00,FR04014,no2,10.7,µg/m³
+Paris,FR,2019-06-08 03:00:00+00:00,FR04014,no2,9.8,µg/m³
+Paris,FR,2019-06-08 02:00:00+00:00,FR04014,no2,8.4,µg/m³
+Paris,FR,2019-06-08 01:00:00+00:00,FR04014,no2,9.6,µg/m³
+Paris,FR,2019-06-08 00:00:00+00:00,FR04014,no2,11.3,µg/m³
+Paris,FR,2019-06-07 23:00:00+00:00,FR04014,no2,14.4,µg/m³
+Paris,FR,2019-06-07 22:00:00+00:00,FR04014,no2,14.7,µg/m³
+Paris,FR,2019-06-07 21:00:00+00:00,FR04014,no2,16.3,µg/m³
+Paris,FR,2019-06-07 20:00:00+00:00,FR04014,no2,19.4,µg/m³
+Paris,FR,2019-06-07 19:00:00+00:00,FR04014,no2,19.9,µg/m³
+Paris,FR,2019-06-07 18:00:00+00:00,FR04014,no2,19.1,µg/m³
+Paris,FR,2019-06-07 17:00:00+00:00,FR04014,no2,19.5,µg/m³
+Paris,FR,2019-06-07 16:00:00+00:00,FR04014,no2,19.5,µg/m³
+Paris,FR,2019-06-07 15:00:00+00:00,FR04014,no2,15.6,µg/m³
+Paris,FR,2019-06-07 14:00:00+00:00,FR04014,no2,13.1,µg/m³
+Paris,FR,2019-06-07 13:00:00+00:00,FR04014,no2,15.0,µg/m³
+Paris,FR,2019-06-07 12:00:00+00:00,FR04014,no2,17.8,µg/m³
+Paris,FR,2019-06-07 11:00:00+00:00,FR04014,no2,26.7,µg/m³
+Paris,FR,2019-06-07 10:00:00+00:00,FR04014,no2,32.1,µg/m³
+Paris,FR,2019-06-07 09:00:00+00:00,FR04014,no2,34.5,µg/m³
+Paris,FR,2019-06-07 08:00:00+00:00,FR04014,no2,29.3,µg/m³
+Paris,FR,2019-06-07 07:00:00+00:00,FR04014,no2,23.0,µg/m³
+Paris,FR,2019-06-07 06:00:00+00:00,FR04014,no2,28.9,µg/m³
+Paris,FR,2019-06-06 14:00:00+00:00,FR04014,no2,15.1,µg/m³
+Paris,FR,2019-06-06 13:00:00+00:00,FR04014,no2,16.0,µg/m³
+Paris,FR,2019-06-06 12:00:00+00:00,FR04014,no2,16.5,µg/m³
+Paris,FR,2019-06-06 11:00:00+00:00,FR04014,no2,16.4,µg/m³
+Paris,FR,2019-06-06 10:00:00+00:00,FR04014,no2,21.2,µg/m³
+Paris,FR,2019-06-06 09:00:00+00:00,FR04014,no2,26.0,µg/m³
+Paris,FR,2019-06-06 08:00:00+00:00,FR04014,no2,36.0,µg/m³
+Paris,FR,2019-06-06 07:00:00+00:00,FR04014,no2,43.1,µg/m³
+Paris,FR,2019-06-06 06:00:00+00:00,FR04014,no2,40.5,µg/m³
+Paris,FR,2019-06-06 05:00:00+00:00,FR04014,no2,40.3,µg/m³
+Paris,FR,2019-06-06 04:00:00+00:00,FR04014,no2,28.4,µg/m³
+Paris,FR,2019-06-06 03:00:00+00:00,FR04014,no2,19.2,µg/m³
+Paris,FR,2019-06-06 02:00:00+00:00,FR04014,no2,15.2,µg/m³
+Paris,FR,2019-06-06 01:00:00+00:00,FR04014,no2,18.0,µg/m³
+Paris,FR,2019-06-06 00:00:00+00:00,FR04014,no2,23.8,µg/m³
+Paris,FR,2019-06-05 23:00:00+00:00,FR04014,no2,31.8,µg/m³
+Paris,FR,2019-06-05 22:00:00+00:00,FR04014,no2,30.3,µg/m³
+Paris,FR,2019-06-05 21:00:00+00:00,FR04014,no2,33.7,µg/m³
+Paris,FR,2019-06-05 20:00:00+00:00,FR04014,no2,37.5,µg/m³
+Paris,FR,2019-06-05 19:00:00+00:00,FR04014,no2,37.8,µg/m³
+Paris,FR,2019-06-05 18:00:00+00:00,FR04014,no2,40.8,µg/m³
+Paris,FR,2019-06-05 17:00:00+00:00,FR04014,no2,48.8,µg/m³
+Paris,FR,2019-06-05 16:00:00+00:00,FR04014,no2,37.9,µg/m³
+Paris,FR,2019-06-05 15:00:00+00:00,FR04014,no2,53.5,µg/m³
+Paris,FR,2019-06-05 14:00:00+00:00,FR04014,no2,38.3,µg/m³
+Paris,FR,2019-06-05 13:00:00+00:00,FR04014,no2,33.6,µg/m³
+Paris,FR,2019-06-05 12:00:00+00:00,FR04014,no2,47.2,µg/m³
+Paris,FR,2019-06-05 11:00:00+00:00,FR04014,no2,59.0,µg/m³
+Paris,FR,2019-06-05 10:00:00+00:00,FR04014,no2,42.1,µg/m³
+Paris,FR,2019-06-05 09:00:00+00:00,FR04014,no2,36.8,µg/m³
+Paris,FR,2019-06-05 08:00:00+00:00,FR04014,no2,35.3,µg/m³
+Paris,FR,2019-06-05 07:00:00+00:00,FR04014,no2,36.9,µg/m³
+Paris,FR,2019-06-05 06:00:00+00:00,FR04014,no2,35.8,µg/m³
+Paris,FR,2019-06-05 05:00:00+00:00,FR04014,no2,39.2,µg/m³
+Paris,FR,2019-06-05 04:00:00+00:00,FR04014,no2,24.5,µg/m³
+Paris,FR,2019-06-05 03:00:00+00:00,FR04014,no2,16.2,µg/m³
+Paris,FR,2019-06-05 02:00:00+00:00,FR04014,no2,12.4,µg/m³
+Paris,FR,2019-06-05 01:00:00+00:00,FR04014,no2,10.8,µg/m³
+Paris,FR,2019-06-05 00:00:00+00:00,FR04014,no2,15.7,µg/m³
+Paris,FR,2019-06-04 23:00:00+00:00,FR04014,no2,17.8,µg/m³
+Paris,FR,2019-06-04 22:00:00+00:00,FR04014,no2,33.5,µg/m³
+Paris,FR,2019-06-04 21:00:00+00:00,FR04014,no2,26.3,µg/m³
+Paris,FR,2019-06-04 20:00:00+00:00,FR04014,no2,16.9,µg/m³
+Paris,FR,2019-06-04 19:00:00+00:00,FR04014,no2,17.0,µg/m³
+Paris,FR,2019-06-04 18:00:00+00:00,FR04014,no2,25.2,µg/m³
+Paris,FR,2019-06-04 17:00:00+00:00,FR04014,no2,23.4,µg/m³
+Paris,FR,2019-06-04 16:00:00+00:00,FR04014,no2,26.3,µg/m³
+Paris,FR,2019-06-04 15:00:00+00:00,FR04014,no2,21.5,µg/m³
+Paris,FR,2019-06-04 14:00:00+00:00,FR04014,no2,18.1,µg/m³
+Paris,FR,2019-06-04 13:00:00+00:00,FR04014,no2,17.4,µg/m³
+Paris,FR,2019-06-04 12:00:00+00:00,FR04014,no2,17.7,µg/m³
+Paris,FR,2019-06-04 11:00:00+00:00,FR04014,no2,19.6,µg/m³
+Paris,FR,2019-06-04 10:00:00+00:00,FR04014,no2,23.3,µg/m³
+Paris,FR,2019-06-04 09:00:00+00:00,FR04014,no2,38.5,µg/m³
+Paris,FR,2019-06-04 08:00:00+00:00,FR04014,no2,50.8,µg/m³
+Paris,FR,2019-06-04 07:00:00+00:00,FR04014,no2,53.5,µg/m³
+Paris,FR,2019-06-04 06:00:00+00:00,FR04014,no2,47.7,µg/m³
+Paris,FR,2019-06-04 05:00:00+00:00,FR04014,no2,36.5,µg/m³
+Paris,FR,2019-06-04 04:00:00+00:00,FR04014,no2,28.8,µg/m³
+Paris,FR,2019-06-04 03:00:00+00:00,FR04014,no2,41.6,µg/m³
+Paris,FR,2019-06-04 02:00:00+00:00,FR04014,no2,35.0,µg/m³
+Paris,FR,2019-06-04 01:00:00+00:00,FR04014,no2,43.9,µg/m³
+Paris,FR,2019-06-04 00:00:00+00:00,FR04014,no2,52.4,µg/m³
+Paris,FR,2019-06-03 23:00:00+00:00,FR04014,no2,44.6,µg/m³
+Paris,FR,2019-06-03 22:00:00+00:00,FR04014,no2,30.5,µg/m³
+Paris,FR,2019-06-03 21:00:00+00:00,FR04014,no2,31.1,µg/m³
+Paris,FR,2019-06-03 20:00:00+00:00,FR04014,no2,33.0,µg/m³
+Paris,FR,2019-06-03 19:00:00+00:00,FR04014,no2,28.9,µg/m³
+Paris,FR,2019-06-03 18:00:00+00:00,FR04014,no2,23.1,µg/m³
+Paris,FR,2019-06-03 17:00:00+00:00,FR04014,no2,24.4,µg/m³
+Paris,FR,2019-06-03 16:00:00+00:00,FR04014,no2,25.3,µg/m³
+Paris,FR,2019-06-03 15:00:00+00:00,FR04014,no2,24.8,µg/m³
+Paris,FR,2019-06-03 14:00:00+00:00,FR04014,no2,23.2,µg/m³
+Paris,FR,2019-06-03 13:00:00+00:00,FR04014,no2,25.8,µg/m³
+Paris,FR,2019-06-03 12:00:00+00:00,FR04014,no2,22.1,µg/m³
+Paris,FR,2019-06-03 11:00:00+00:00,FR04014,no2,27.5,µg/m³
+Paris,FR,2019-06-03 10:00:00+00:00,FR04014,no2,31.7,µg/m³
+Paris,FR,2019-06-03 09:00:00+00:00,FR04014,no2,46.0,µg/m³
+Paris,FR,2019-06-03 08:00:00+00:00,FR04014,no2,43.9,µg/m³
+Paris,FR,2019-06-03 07:00:00+00:00,FR04014,no2,50.0,µg/m³
+Paris,FR,2019-06-03 06:00:00+00:00,FR04014,no2,44.1,µg/m³
+Paris,FR,2019-06-03 05:00:00+00:00,FR04014,no2,29.0,µg/m³
+Paris,FR,2019-06-03 04:00:00+00:00,FR04014,no2,11.4,µg/m³
+Paris,FR,2019-06-03 03:00:00+00:00,FR04014,no2,9.8,µg/m³
+Paris,FR,2019-06-03 02:00:00+00:00,FR04014,no2,11.7,µg/m³
+Paris,FR,2019-06-03 01:00:00+00:00,FR04014,no2,11.8,µg/m³
+Paris,FR,2019-06-03 00:00:00+00:00,FR04014,no2,15.7,µg/m³
+Paris,FR,2019-06-02 23:00:00+00:00,FR04014,no2,17.9,µg/m³
+Paris,FR,2019-06-02 22:00:00+00:00,FR04014,no2,27.6,µg/m³
+Paris,FR,2019-06-02 21:00:00+00:00,FR04014,no2,36.9,µg/m³
+Paris,FR,2019-06-02 20:00:00+00:00,FR04014,no2,40.9,µg/m³
+Paris,FR,2019-06-02 19:00:00+00:00,FR04014,no2,25.8,µg/m³
+Paris,FR,2019-06-02 18:00:00+00:00,FR04014,no2,15.6,µg/m³
+Paris,FR,2019-06-02 17:00:00+00:00,FR04014,no2,14.4,µg/m³
+Paris,FR,2019-06-02 16:00:00+00:00,FR04014,no2,14.4,µg/m³
+Paris,FR,2019-06-02 15:00:00+00:00,FR04014,no2,13.9,µg/m³
+Paris,FR,2019-06-02 14:00:00+00:00,FR04014,no2,15.0,µg/m³
+Paris,FR,2019-06-02 13:00:00+00:00,FR04014,no2,13.0,µg/m³
+Paris,FR,2019-06-02 12:00:00+00:00,FR04014,no2,11.5,µg/m³
+Paris,FR,2019-06-02 11:00:00+00:00,FR04014,no2,13.1,µg/m³
+Paris,FR,2019-06-02 10:00:00+00:00,FR04014,no2,18.1,µg/m³
+Paris,FR,2019-06-02 09:00:00+00:00,FR04014,no2,21.0,µg/m³
+Paris,FR,2019-06-02 08:00:00+00:00,FR04014,no2,19.5,µg/m³
+Paris,FR,2019-06-02 07:00:00+00:00,FR04014,no2,18.1,µg/m³
+Paris,FR,2019-06-02 06:00:00+00:00,FR04014,no2,24.1,µg/m³
+Paris,FR,2019-06-02 05:00:00+00:00,FR04014,no2,37.2,µg/m³
+Paris,FR,2019-06-02 04:00:00+00:00,FR04014,no2,24.5,µg/m³
+Paris,FR,2019-06-02 03:00:00+00:00,FR04014,no2,23.2,µg/m³
+Paris,FR,2019-06-02 02:00:00+00:00,FR04014,no2,39.2,µg/m³
+Paris,FR,2019-06-02 01:00:00+00:00,FR04014,no2,38.2,µg/m³
+Paris,FR,2019-06-02 00:00:00+00:00,FR04014,no2,38.1,µg/m³
+Paris,FR,2019-06-01 23:00:00+00:00,FR04014,no2,32.7,µg/m³
+Paris,FR,2019-06-01 22:00:00+00:00,FR04014,no2,48.1,µg/m³
+Paris,FR,2019-06-01 21:00:00+00:00,FR04014,no2,49.4,µg/m³
+Paris,FR,2019-06-01 20:00:00+00:00,FR04014,no2,43.6,µg/m³
+Paris,FR,2019-06-01 19:00:00+00:00,FR04014,no2,24.6,µg/m³
+Paris,FR,2019-06-01 18:00:00+00:00,FR04014,no2,14.5,µg/m³
+Paris,FR,2019-06-01 17:00:00+00:00,FR04014,no2,11.8,µg/m³
+Paris,FR,2019-06-01 16:00:00+00:00,FR04014,no2,11.8,µg/m³
+Paris,FR,2019-06-01 15:00:00+00:00,FR04014,no2,10.2,µg/m³
+Paris,FR,2019-06-01 14:00:00+00:00,FR04014,no2,10.0,µg/m³
+Paris,FR,2019-06-01 13:00:00+00:00,FR04014,no2,10.2,µg/m³
+Paris,FR,2019-06-01 12:00:00+00:00,FR04014,no2,10.4,µg/m³
+Paris,FR,2019-06-01 11:00:00+00:00,FR04014,no2,12.2,µg/m³
+Paris,FR,2019-06-01 10:00:00+00:00,FR04014,no2,13.8,µg/m³
+Paris,FR,2019-06-01 09:00:00+00:00,FR04014,no2,23.9,µg/m³
+Paris,FR,2019-06-01 08:00:00+00:00,FR04014,no2,33.3,µg/m³
+Paris,FR,2019-06-01 07:00:00+00:00,FR04014,no2,46.4,µg/m³
+Paris,FR,2019-06-01 06:00:00+00:00,FR04014,no2,44.6,µg/m³
+Paris,FR,2019-06-01 02:00:00+00:00,FR04014,no2,68.1,µg/m³
+Paris,FR,2019-06-01 01:00:00+00:00,FR04014,no2,74.8,µg/m³
+Paris,FR,2019-06-01 00:00:00+00:00,FR04014,no2,84.7,µg/m³
+Paris,FR,2019-05-31 23:00:00+00:00,FR04014,no2,81.7,µg/m³
+Paris,FR,2019-05-31 22:00:00+00:00,FR04014,no2,68.0,µg/m³
+Paris,FR,2019-05-31 21:00:00+00:00,FR04014,no2,60.2,µg/m³
+Paris,FR,2019-05-31 20:00:00+00:00,FR04014,no2,37.0,µg/m³
+Paris,FR,2019-05-31 19:00:00+00:00,FR04014,no2,23.3,µg/m³
+Paris,FR,2019-05-31 18:00:00+00:00,FR04014,no2,25.2,µg/m³
+Paris,FR,2019-05-31 17:00:00+00:00,FR04014,no2,20.5,µg/m³
+Paris,FR,2019-05-31 16:00:00+00:00,FR04014,no2,16.3,µg/m³
+Paris,FR,2019-05-31 15:00:00+00:00,FR04014,no2,15.4,µg/m³
+Paris,FR,2019-05-31 14:00:00+00:00,FR04014,no2,15.4,µg/m³
+Paris,FR,2019-05-31 13:00:00+00:00,FR04014,no2,13.8,µg/m³
+Paris,FR,2019-05-31 12:00:00+00:00,FR04014,no2,13.3,µg/m³
+Paris,FR,2019-05-31 11:00:00+00:00,FR04014,no2,15.1,µg/m³
+Paris,FR,2019-05-31 10:00:00+00:00,FR04014,no2,17.2,µg/m³
+Paris,FR,2019-05-31 09:00:00+00:00,FR04014,no2,19.6,µg/m³
+Paris,FR,2019-05-31 08:00:00+00:00,FR04014,no2,36.6,µg/m³
+Paris,FR,2019-05-31 07:00:00+00:00,FR04014,no2,47.4,µg/m³
+Paris,FR,2019-05-31 06:00:00+00:00,FR04014,no2,38.6,µg/m³
+Paris,FR,2019-05-31 05:00:00+00:00,FR04014,no2,37.2,µg/m³
+Paris,FR,2019-05-31 04:00:00+00:00,FR04014,no2,31.1,µg/m³
+Paris,FR,2019-05-31 03:00:00+00:00,FR04014,no2,40.1,µg/m³
+Paris,FR,2019-05-31 02:00:00+00:00,FR04014,no2,44.1,µg/m³
+Paris,FR,2019-05-31 01:00:00+00:00,FR04014,no2,36.9,µg/m³
+Paris,FR,2019-05-31 00:00:00+00:00,FR04014,no2,27.2,µg/m³
+Paris,FR,2019-05-30 23:00:00+00:00,FR04014,no2,29.6,µg/m³
+Paris,FR,2019-05-30 22:00:00+00:00,FR04014,no2,27.0,µg/m³
+Paris,FR,2019-05-30 21:00:00+00:00,FR04014,no2,26.9,µg/m³
+Paris,FR,2019-05-30 20:00:00+00:00,FR04014,no2,21.9,µg/m³
+Paris,FR,2019-05-30 19:00:00+00:00,FR04014,no2,22.9,µg/m³
+Paris,FR,2019-05-30 18:00:00+00:00,FR04014,no2,22.1,µg/m³
+Paris,FR,2019-05-30 17:00:00+00:00,FR04014,no2,20.4,µg/m³
+Paris,FR,2019-05-30 16:00:00+00:00,FR04014,no2,12.8,µg/m³
+Paris,FR,2019-05-30 15:00:00+00:00,FR04014,no2,13.0,µg/m³
+Paris,FR,2019-05-30 14:00:00+00:00,FR04014,no2,14.9,µg/m³
+Paris,FR,2019-05-30 13:00:00+00:00,FR04014,no2,16.1,µg/m³
+Paris,FR,2019-05-30 12:00:00+00:00,FR04014,no2,14.2,µg/m³
+Paris,FR,2019-05-30 11:00:00+00:00,FR04014,no2,14.9,µg/m³
+Paris,FR,2019-05-30 10:00:00+00:00,FR04014,no2,13.8,µg/m³
+Paris,FR,2019-05-30 09:00:00+00:00,FR04014,no2,15.1,µg/m³
+Paris,FR,2019-05-30 08:00:00+00:00,FR04014,no2,16.7,µg/m³
+Paris,FR,2019-05-30 07:00:00+00:00,FR04014,no2,18.3,µg/m³
+Paris,FR,2019-05-30 06:00:00+00:00,FR04014,no2,13.3,µg/m³
+Paris,FR,2019-05-30 05:00:00+00:00,FR04014,no2,12.2,µg/m³
+Paris,FR,2019-05-30 04:00:00+00:00,FR04014,no2,10.4,µg/m³
+Paris,FR,2019-05-30 03:00:00+00:00,FR04014,no2,10.6,µg/m³
+Paris,FR,2019-05-30 02:00:00+00:00,FR04014,no2,9.4,µg/m³
+Paris,FR,2019-05-30 01:00:00+00:00,FR04014,no2,12.4,µg/m³
+Paris,FR,2019-05-30 00:00:00+00:00,FR04014,no2,19.4,µg/m³
+Paris,FR,2019-05-29 23:00:00+00:00,FR04014,no2,19.9,µg/m³
+Paris,FR,2019-05-29 22:00:00+00:00,FR04014,no2,19.0,µg/m³
+Paris,FR,2019-05-29 21:00:00+00:00,FR04014,no2,16.9,µg/m³
+Paris,FR,2019-05-29 20:00:00+00:00,FR04014,no2,20.8,µg/m³
+Paris,FR,2019-05-29 19:00:00+00:00,FR04014,no2,24.1,µg/m³
+Paris,FR,2019-05-29 18:00:00+00:00,FR04014,no2,25.3,µg/m³
+Paris,FR,2019-05-29 17:00:00+00:00,FR04014,no2,22.9,µg/m³
+Paris,FR,2019-05-29 16:00:00+00:00,FR04014,no2,20.1,µg/m³
+Paris,FR,2019-05-29 15:00:00+00:00,FR04014,no2,0.0,µg/m³
+Paris,FR,2019-05-29 14:00:00+00:00,FR04014,no2,0.0,µg/m³
+Paris,FR,2019-05-29 13:00:00+00:00,FR04014,no2,17.8,µg/m³
+Paris,FR,2019-05-29 12:00:00+00:00,FR04014,no2,13.2,µg/m³
+Paris,FR,2019-05-29 11:00:00+00:00,FR04014,no2,22.0,µg/m³
+Paris,FR,2019-05-29 10:00:00+00:00,FR04014,no2,30.7,µg/m³
+Paris,FR,2019-05-29 09:00:00+00:00,FR04014,no2,34.5,µg/m³
+Paris,FR,2019-05-29 08:00:00+00:00,FR04014,no2,45.7,µg/m³
+Paris,FR,2019-05-29 07:00:00+00:00,FR04014,no2,50.5,µg/m³
+Paris,FR,2019-05-29 06:00:00+00:00,FR04014,no2,46.5,µg/m³
+Paris,FR,2019-05-29 05:00:00+00:00,FR04014,no2,36.7,µg/m³
+Paris,FR,2019-05-29 04:00:00+00:00,FR04014,no2,24.1,µg/m³
+Paris,FR,2019-05-29 03:00:00+00:00,FR04014,no2,20.3,µg/m³
+Paris,FR,2019-05-29 02:00:00+00:00,FR04014,no2,19.0,µg/m³
+Paris,FR,2019-05-29 01:00:00+00:00,FR04014,no2,21.6,µg/m³
+Paris,FR,2019-05-29 00:00:00+00:00,FR04014,no2,23.4,µg/m³
+Paris,FR,2019-05-28 23:00:00+00:00,FR04014,no2,25.3,µg/m³
+Paris,FR,2019-05-28 22:00:00+00:00,FR04014,no2,20.2,µg/m³
+Paris,FR,2019-05-28 21:00:00+00:00,FR04014,no2,20.4,µg/m³
+Paris,FR,2019-05-28 20:00:00+00:00,FR04014,no2,20.4,µg/m³
+Paris,FR,2019-05-28 19:00:00+00:00,FR04014,no2,18.5,µg/m³
+Paris,FR,2019-05-28 18:00:00+00:00,FR04014,no2,16.2,µg/m³
+Paris,FR,2019-05-28 17:00:00+00:00,FR04014,no2,20.8,µg/m³
+Paris,FR,2019-05-28 16:00:00+00:00,FR04014,no2,26.5,µg/m³
+Paris,FR,2019-05-28 15:00:00+00:00,FR04014,no2,25.0,µg/m³
+Paris,FR,2019-05-28 14:00:00+00:00,FR04014,no2,18.8,µg/m³
+Paris,FR,2019-05-28 13:00:00+00:00,FR04014,no2,18.5,µg/m³
+Paris,FR,2019-05-28 12:00:00+00:00,FR04014,no2,24.8,µg/m³
+Paris,FR,2019-05-28 11:00:00+00:00,FR04014,no2,20.5,µg/m³
+Paris,FR,2019-05-28 10:00:00+00:00,FR04014,no2,21.6,µg/m³
+Paris,FR,2019-05-28 09:00:00+00:00,FR04014,no2,24.3,µg/m³
+Paris,FR,2019-05-28 08:00:00+00:00,FR04014,no2,31.2,µg/m³
+Paris,FR,2019-05-28 07:00:00+00:00,FR04014,no2,33.8,µg/m³
+Paris,FR,2019-05-28 06:00:00+00:00,FR04014,no2,28.8,µg/m³
+Paris,FR,2019-05-28 05:00:00+00:00,FR04014,no2,19.9,µg/m³
+Paris,FR,2019-05-28 04:00:00+00:00,FR04014,no2,8.9,µg/m³
+Paris,FR,2019-05-28 03:00:00+00:00,FR04014,no2,6.1,µg/m³
+Paris,FR,2019-05-28 02:00:00+00:00,FR04014,no2,6.4,µg/m³
+Paris,FR,2019-05-28 01:00:00+00:00,FR04014,no2,8.2,µg/m³
+Paris,FR,2019-05-28 00:00:00+00:00,FR04014,no2,15.4,µg/m³
+Paris,FR,2019-05-27 23:00:00+00:00,FR04014,no2,22.6,µg/m³
+Paris,FR,2019-05-27 22:00:00+00:00,FR04014,no2,19.9,µg/m³
+Paris,FR,2019-05-27 21:00:00+00:00,FR04014,no2,18.8,µg/m³
+Paris,FR,2019-05-27 20:00:00+00:00,FR04014,no2,22.3,µg/m³
+Paris,FR,2019-05-27 19:00:00+00:00,FR04014,no2,22.1,µg/m³
+Paris,FR,2019-05-27 18:00:00+00:00,FR04014,no2,25.6,µg/m³
+Paris,FR,2019-05-27 17:00:00+00:00,FR04014,no2,22.9,µg/m³
+Paris,FR,2019-05-27 16:00:00+00:00,FR04014,no2,23.6,µg/m³
+Paris,FR,2019-05-27 15:00:00+00:00,FR04014,no2,25.6,µg/m³
+Paris,FR,2019-05-27 14:00:00+00:00,FR04014,no2,17.3,µg/m³
+Paris,FR,2019-05-27 13:00:00+00:00,FR04014,no2,17.5,µg/m³
+Paris,FR,2019-05-27 12:00:00+00:00,FR04014,no2,17.3,µg/m³
+Paris,FR,2019-05-27 11:00:00+00:00,FR04014,no2,19.3,µg/m³
+Paris,FR,2019-05-27 10:00:00+00:00,FR04014,no2,23.3,µg/m³
+Paris,FR,2019-05-27 09:00:00+00:00,FR04014,no2,31.4,µg/m³
+Paris,FR,2019-05-27 08:00:00+00:00,FR04014,no2,34.2,µg/m³
+Paris,FR,2019-05-27 07:00:00+00:00,FR04014,no2,29.5,µg/m³
+Paris,FR,2019-05-27 06:00:00+00:00,FR04014,no2,29.1,µg/m³
+Paris,FR,2019-05-27 05:00:00+00:00,FR04014,no2,20.3,µg/m³
+Paris,FR,2019-05-27 04:00:00+00:00,FR04014,no2,6.5,µg/m³
+Paris,FR,2019-05-27 03:00:00+00:00,FR04014,no2,4.8,µg/m³
+Paris,FR,2019-05-27 02:00:00+00:00,FR04014,no2,5.9,µg/m³
+Paris,FR,2019-05-27 01:00:00+00:00,FR04014,no2,7.1,µg/m³
+Paris,FR,2019-05-27 00:00:00+00:00,FR04014,no2,9.5,µg/m³
+Paris,FR,2019-05-26 23:00:00+00:00,FR04014,no2,10.3,µg/m³
+Paris,FR,2019-05-26 22:00:00+00:00,FR04014,no2,15.2,µg/m³
+Paris,FR,2019-05-26 21:00:00+00:00,FR04014,no2,16.1,µg/m³
+Paris,FR,2019-05-26 20:00:00+00:00,FR04014,no2,16.6,µg/m³
+Paris,FR,2019-05-26 19:00:00+00:00,FR04014,no2,17.8,µg/m³
+Paris,FR,2019-05-26 18:00:00+00:00,FR04014,no2,22.8,µg/m³
+Paris,FR,2019-05-26 17:00:00+00:00,FR04014,no2,17.3,µg/m³
+Paris,FR,2019-05-26 16:00:00+00:00,FR04014,no2,17.1,µg/m³
+Paris,FR,2019-05-26 15:00:00+00:00,FR04014,no2,11.7,µg/m³
+Paris,FR,2019-05-26 14:00:00+00:00,FR04014,no2,15.3,µg/m³
+Paris,FR,2019-05-26 13:00:00+00:00,FR04014,no2,12.5,µg/m³
+Paris,FR,2019-05-26 12:00:00+00:00,FR04014,no2,11.5,µg/m³
+Paris,FR,2019-05-26 11:00:00+00:00,FR04014,no2,13.3,µg/m³
+Paris,FR,2019-05-26 10:00:00+00:00,FR04014,no2,11.3,µg/m³
+Paris,FR,2019-05-26 09:00:00+00:00,FR04014,no2,10.3,µg/m³
+Paris,FR,2019-05-26 08:00:00+00:00,FR04014,no2,11.0,µg/m³
+Paris,FR,2019-05-26 07:00:00+00:00,FR04014,no2,13.4,µg/m³
+Paris,FR,2019-05-26 06:00:00+00:00,FR04014,no2,15.1,µg/m³
+Paris,FR,2019-05-26 05:00:00+00:00,FR04014,no2,16.8,µg/m³
+Paris,FR,2019-05-26 04:00:00+00:00,FR04014,no2,22.3,µg/m³
+Paris,FR,2019-05-26 03:00:00+00:00,FR04014,no2,22.9,µg/m³
+Paris,FR,2019-05-26 02:00:00+00:00,FR04014,no2,23.4,µg/m³
+Paris,FR,2019-05-26 01:00:00+00:00,FR04014,no2,49.8,µg/m³
+Paris,FR,2019-05-26 00:00:00+00:00,FR04014,no2,67.0,µg/m³
+Paris,FR,2019-05-25 23:00:00+00:00,FR04014,no2,70.2,µg/m³
+Paris,FR,2019-05-25 22:00:00+00:00,FR04014,no2,63.9,µg/m³
+Paris,FR,2019-05-25 21:00:00+00:00,FR04014,no2,39.5,µg/m³
+Paris,FR,2019-05-25 20:00:00+00:00,FR04014,no2,43.6,µg/m³
+Paris,FR,2019-05-25 19:00:00+00:00,FR04014,no2,22.1,µg/m³
+Paris,FR,2019-05-25 18:00:00+00:00,FR04014,no2,30.4,µg/m³
+Paris,FR,2019-05-25 17:00:00+00:00,FR04014,no2,20.6,µg/m³
+Paris,FR,2019-05-25 16:00:00+00:00,FR04014,no2,31.9,µg/m³
+Paris,FR,2019-05-25 15:00:00+00:00,FR04014,no2,30.0,µg/m³
+Paris,FR,2019-05-25 14:00:00+00:00,FR04014,no2,23.6,µg/m³
+Paris,FR,2019-05-25 13:00:00+00:00,FR04014,no2,26.1,µg/m³
+Paris,FR,2019-05-25 12:00:00+00:00,FR04014,no2,18.6,µg/m³
+Paris,FR,2019-05-25 11:00:00+00:00,FR04014,no2,19.5,µg/m³
+Paris,FR,2019-05-25 10:00:00+00:00,FR04014,no2,26.3,µg/m³
+Paris,FR,2019-05-25 09:00:00+00:00,FR04014,no2,33.6,µg/m³
+Paris,FR,2019-05-25 08:00:00+00:00,FR04014,no2,44.5,µg/m³
+Paris,FR,2019-05-25 07:00:00+00:00,FR04014,no2,42.1,µg/m³
+Paris,FR,2019-05-25 06:00:00+00:00,FR04014,no2,36.9,µg/m³
+Paris,FR,2019-05-25 02:00:00+00:00,FR04014,no2,20.3,µg/m³
+Paris,FR,2019-05-25 01:00:00+00:00,FR04014,no2,12.8,µg/m³
+Paris,FR,2019-05-25 00:00:00+00:00,FR04014,no2,17.4,µg/m³
+Paris,FR,2019-05-24 23:00:00+00:00,FR04014,no2,16.5,µg/m³
+Paris,FR,2019-05-24 22:00:00+00:00,FR04014,no2,18.0,µg/m³
+Paris,FR,2019-05-24 21:00:00+00:00,FR04014,no2,18.1,µg/m³
+Paris,FR,2019-05-24 20:00:00+00:00,FR04014,no2,31.7,µg/m³
+Paris,FR,2019-05-24 19:00:00+00:00,FR04014,no2,21.9,µg/m³
+Paris,FR,2019-05-24 18:00:00+00:00,FR04014,no2,23.3,µg/m³
+Paris,FR,2019-05-24 17:00:00+00:00,FR04014,no2,25.2,µg/m³
+Paris,FR,2019-05-24 16:00:00+00:00,FR04014,no2,27.3,µg/m³
+Paris,FR,2019-05-24 15:00:00+00:00,FR04014,no2,22.7,µg/m³
+Paris,FR,2019-05-24 14:00:00+00:00,FR04014,no2,20.5,µg/m³
+Paris,FR,2019-05-24 13:00:00+00:00,FR04014,no2,24.3,µg/m³
+Paris,FR,2019-05-24 12:00:00+00:00,FR04014,no2,29.3,µg/m³
+Paris,FR,2019-05-24 11:00:00+00:00,FR04014,no2,40.6,µg/m³
+Paris,FR,2019-05-24 10:00:00+00:00,FR04014,no2,28.6,µg/m³
+Paris,FR,2019-05-24 09:00:00+00:00,FR04014,no2,37.9,µg/m³
+Paris,FR,2019-05-24 08:00:00+00:00,FR04014,no2,45.9,µg/m³
+Paris,FR,2019-05-24 07:00:00+00:00,FR04014,no2,54.8,µg/m³
+Paris,FR,2019-05-24 06:00:00+00:00,FR04014,no2,40.7,µg/m³
+Paris,FR,2019-05-24 05:00:00+00:00,FR04014,no2,35.9,µg/m³
+Paris,FR,2019-05-24 04:00:00+00:00,FR04014,no2,28.1,µg/m³
+Paris,FR,2019-05-24 03:00:00+00:00,FR04014,no2,19.4,µg/m³
+Paris,FR,2019-05-24 02:00:00+00:00,FR04014,no2,28.4,µg/m³
+Paris,FR,2019-05-24 01:00:00+00:00,FR04014,no2,28.8,µg/m³
+Paris,FR,2019-05-24 00:00:00+00:00,FR04014,no2,32.8,µg/m³
+Paris,FR,2019-05-23 23:00:00+00:00,FR04014,no2,23.2,µg/m³
+Paris,FR,2019-05-23 22:00:00+00:00,FR04014,no2,61.9,µg/m³
+Paris,FR,2019-05-23 21:00:00+00:00,FR04014,no2,47.0,µg/m³
+Paris,FR,2019-05-23 20:00:00+00:00,FR04014,no2,33.8,µg/m³
+Paris,FR,2019-05-23 19:00:00+00:00,FR04014,no2,28.0,µg/m³
+Paris,FR,2019-05-23 18:00:00+00:00,FR04014,no2,23.5,µg/m³
+Paris,FR,2019-05-23 17:00:00+00:00,FR04014,no2,22.7,µg/m³
+Paris,FR,2019-05-23 16:00:00+00:00,FR04014,no2,17.8,µg/m³
+Paris,FR,2019-05-23 15:00:00+00:00,FR04014,no2,17.5,µg/m³
+Paris,FR,2019-05-23 14:00:00+00:00,FR04014,no2,17.2,µg/m³
+Paris,FR,2019-05-23 13:00:00+00:00,FR04014,no2,21.2,µg/m³
+Paris,FR,2019-05-23 12:00:00+00:00,FR04014,no2,16.4,µg/m³
+Paris,FR,2019-05-23 11:00:00+00:00,FR04014,no2,17.0,µg/m³
+Paris,FR,2019-05-23 10:00:00+00:00,FR04014,no2,28.3,µg/m³
+Paris,FR,2019-05-23 09:00:00+00:00,FR04014,no2,79.4,µg/m³
+Paris,FR,2019-05-23 08:00:00+00:00,FR04014,no2,97.0,µg/m³
+Paris,FR,2019-05-23 07:00:00+00:00,FR04014,no2,91.8,µg/m³
+Paris,FR,2019-05-23 06:00:00+00:00,FR04014,no2,79.6,µg/m³
+Paris,FR,2019-05-23 05:00:00+00:00,FR04014,no2,68.7,µg/m³
+Paris,FR,2019-05-23 04:00:00+00:00,FR04014,no2,71.9,µg/m³
+Paris,FR,2019-05-23 03:00:00+00:00,FR04014,no2,76.8,µg/m³
+Paris,FR,2019-05-23 02:00:00+00:00,FR04014,no2,66.6,µg/m³
+Paris,FR,2019-05-23 01:00:00+00:00,FR04014,no2,53.1,µg/m³
+Paris,FR,2019-05-23 00:00:00+00:00,FR04014,no2,53.3,µg/m³
+Paris,FR,2019-05-22 23:00:00+00:00,FR04014,no2,62.1,µg/m³
+Paris,FR,2019-05-22 22:00:00+00:00,FR04014,no2,29.8,µg/m³
+Paris,FR,2019-05-22 21:00:00+00:00,FR04014,no2,37.7,µg/m³
+Paris,FR,2019-05-22 20:00:00+00:00,FR04014,no2,44.9,µg/m³
+Paris,FR,2019-05-22 19:00:00+00:00,FR04014,no2,36.2,µg/m³
+Paris,FR,2019-05-22 18:00:00+00:00,FR04014,no2,34.1,µg/m³
+Paris,FR,2019-05-22 17:00:00+00:00,FR04014,no2,36.1,µg/m³
+Paris,FR,2019-05-22 16:00:00+00:00,FR04014,no2,34.9,µg/m³
+Paris,FR,2019-05-22 15:00:00+00:00,FR04014,no2,33.2,µg/m³
+Paris,FR,2019-05-22 14:00:00+00:00,FR04014,no2,40.0,µg/m³
+Paris,FR,2019-05-22 13:00:00+00:00,FR04014,no2,38.5,µg/m³
+Paris,FR,2019-05-22 12:00:00+00:00,FR04014,no2,42.2,µg/m³
+Paris,FR,2019-05-22 11:00:00+00:00,FR04014,no2,42.6,µg/m³
+Paris,FR,2019-05-22 10:00:00+00:00,FR04014,no2,57.8,µg/m³
+Paris,FR,2019-05-22 09:00:00+00:00,FR04014,no2,63.1,µg/m³
+Paris,FR,2019-05-22 08:00:00+00:00,FR04014,no2,70.8,µg/m³
+Paris,FR,2019-05-22 07:00:00+00:00,FR04014,no2,75.4,µg/m³
+Paris,FR,2019-05-22 06:00:00+00:00,FR04014,no2,75.7,µg/m³
+Paris,FR,2019-05-22 05:00:00+00:00,FR04014,no2,45.1,µg/m³
+Paris,FR,2019-05-22 04:00:00+00:00,FR04014,no2,33.7,µg/m³
+Paris,FR,2019-05-22 03:00:00+00:00,FR04014,no2,25.2,µg/m³
+Paris,FR,2019-05-22 02:00:00+00:00,FR04014,no2,19.2,µg/m³
+Paris,FR,2019-05-22 01:00:00+00:00,FR04014,no2,27.9,µg/m³
+Paris,FR,2019-05-22 00:00:00+00:00,FR04014,no2,27.1,µg/m³
+Paris,FR,2019-05-21 23:00:00+00:00,FR04014,no2,29.5,µg/m³
+Paris,FR,2019-05-21 22:00:00+00:00,FR04014,no2,33.2,µg/m³
+Paris,FR,2019-05-21 21:00:00+00:00,FR04014,no2,43.0,µg/m³
+Paris,FR,2019-05-21 20:00:00+00:00,FR04014,no2,40.8,µg/m³
+Paris,FR,2019-05-21 19:00:00+00:00,FR04014,no2,50.0,µg/m³
+Paris,FR,2019-05-21 18:00:00+00:00,FR04014,no2,54.3,µg/m³
+Paris,FR,2019-05-21 17:00:00+00:00,FR04014,no2,75.0,µg/m³
+Paris,FR,2019-05-21 16:00:00+00:00,FR04014,no2,42.3,µg/m³
+Paris,FR,2019-05-21 15:00:00+00:00,FR04014,no2,36.6,µg/m³
+Paris,FR,2019-05-21 14:00:00+00:00,FR04014,no2,47.8,µg/m³
+Paris,FR,2019-05-21 13:00:00+00:00,FR04014,no2,49.7,µg/m³
+Paris,FR,2019-05-21 12:00:00+00:00,FR04014,no2,30.5,µg/m³
+Paris,FR,2019-05-21 11:00:00+00:00,FR04014,no2,25.5,µg/m³
+Paris,FR,2019-05-21 10:00:00+00:00,FR04014,no2,30.4,µg/m³
+Paris,FR,2019-05-21 09:00:00+00:00,FR04014,no2,48.1,µg/m³
+Paris,FR,2019-05-21 08:00:00+00:00,FR04014,no2,54.2,µg/m³
+Paris,FR,2019-05-21 07:00:00+00:00,FR04014,no2,56.0,µg/m³
+Paris,FR,2019-05-21 06:00:00+00:00,FR04014,no2,62.6,µg/m³
+Paris,FR,2019-05-21 05:00:00+00:00,FR04014,no2,38.0,µg/m³
+Paris,FR,2019-05-21 04:00:00+00:00,FR04014,no2,18.5,µg/m³
+Paris,FR,2019-05-21 03:00:00+00:00,FR04014,no2,17.9,µg/m³
+Paris,FR,2019-05-21 02:00:00+00:00,FR04014,no2,17.7,µg/m³
+Paris,FR,2019-05-21 01:00:00+00:00,FR04014,no2,16.3,µg/m³
+Paris,FR,2019-05-21 00:00:00+00:00,FR04014,no2,16.9,µg/m³
+Paris,FR,2019-05-20 23:00:00+00:00,FR04014,no2,19.6,µg/m³
+Paris,FR,2019-05-20 22:00:00+00:00,FR04014,no2,20.7,µg/m³
+Paris,FR,2019-05-20 21:00:00+00:00,FR04014,no2,20.3,µg/m³
+Paris,FR,2019-05-20 20:00:00+00:00,FR04014,no2,21.6,µg/m³
+Paris,FR,2019-05-20 19:00:00+00:00,FR04014,no2,21.3,µg/m³
+Paris,FR,2019-05-20 18:00:00+00:00,FR04014,no2,32.2,µg/m³
+Paris,FR,2019-05-20 17:00:00+00:00,FR04014,no2,24.6,µg/m³
+Paris,FR,2019-05-20 16:00:00+00:00,FR04014,no2,32.4,µg/m³
+Paris,FR,2019-05-20 15:00:00+00:00,FR04014,no2,26.5,µg/m³
+Paris,FR,2019-05-20 14:00:00+00:00,FR04014,no2,27.5,µg/m³
+Paris,FR,2019-05-20 13:00:00+00:00,FR04014,no2,23.7,µg/m³
+Paris,FR,2019-05-20 12:00:00+00:00,FR04014,no2,23.8,µg/m³
+Paris,FR,2019-05-20 11:00:00+00:00,FR04014,no2,35.4,µg/m³
+Paris,FR,2019-05-20 10:00:00+00:00,FR04014,no2,43.9,µg/m³
+Paris,FR,2019-05-20 09:00:00+00:00,FR04014,no2,45.5,µg/m³
+Paris,FR,2019-05-20 08:00:00+00:00,FR04014,no2,46.1,µg/m³
+Paris,FR,2019-05-20 07:00:00+00:00,FR04014,no2,46.9,µg/m³
+Paris,FR,2019-05-20 06:00:00+00:00,FR04014,no2,40.1,µg/m³
+Paris,FR,2019-05-20 05:00:00+00:00,FR04014,no2,25.2,µg/m³
+Paris,FR,2019-05-20 04:00:00+00:00,FR04014,no2,14.9,µg/m³
+Paris,FR,2019-05-20 03:00:00+00:00,FR04014,no2,12.6,µg/m³
+Paris,FR,2019-05-20 02:00:00+00:00,FR04014,no2,12.1,µg/m³
+Paris,FR,2019-05-20 01:00:00+00:00,FR04014,no2,12.8,µg/m³
+Paris,FR,2019-05-20 00:00:00+00:00,FR04014,no2,16.4,µg/m³
+Paris,FR,2019-05-19 23:00:00+00:00,FR04014,no2,18.8,µg/m³
+Paris,FR,2019-05-19 22:00:00+00:00,FR04014,no2,22.2,µg/m³
+Paris,FR,2019-05-19 21:00:00+00:00,FR04014,no2,23.2,µg/m³
+Paris,FR,2019-05-19 20:00:00+00:00,FR04014,no2,35.6,µg/m³
+Paris,FR,2019-05-19 19:00:00+00:00,FR04014,no2,51.2,µg/m³
+Paris,FR,2019-05-19 18:00:00+00:00,FR04014,no2,32.7,µg/m³
+Paris,FR,2019-05-19 17:00:00+00:00,FR04014,no2,33.9,µg/m³
+Paris,FR,2019-05-19 16:00:00+00:00,FR04014,no2,32.5,µg/m³
+Paris,FR,2019-05-19 15:00:00+00:00,FR04014,no2,31.7,µg/m³
+Paris,FR,2019-05-19 14:00:00+00:00,FR04014,no2,23.8,µg/m³
+Paris,FR,2019-05-19 13:00:00+00:00,FR04014,no2,21.0,µg/m³
+Paris,FR,2019-05-19 12:00:00+00:00,FR04014,no2,27.9,µg/m³
+Paris,FR,2019-05-19 11:00:00+00:00,FR04014,no2,32.6,µg/m³
+Paris,FR,2019-05-19 10:00:00+00:00,FR04014,no2,31.0,µg/m³
+Paris,FR,2019-05-19 09:00:00+00:00,FR04014,no2,33.0,µg/m³
+Paris,FR,2019-05-19 08:00:00+00:00,FR04014,no2,31.7,µg/m³
+Paris,FR,2019-05-19 07:00:00+00:00,FR04014,no2,32.4,µg/m³
+Paris,FR,2019-05-19 06:00:00+00:00,FR04014,no2,31.1,µg/m³
+Paris,FR,2019-05-19 05:00:00+00:00,FR04014,no2,40.9,µg/m³
+Paris,FR,2019-05-19 04:00:00+00:00,FR04014,no2,39.4,µg/m³
+Paris,FR,2019-05-19 03:00:00+00:00,FR04014,no2,36.4,µg/m³
+Paris,FR,2019-05-19 02:00:00+00:00,FR04014,no2,38.1,µg/m³
+Paris,FR,2019-05-19 01:00:00+00:00,FR04014,no2,34.9,µg/m³
+Paris,FR,2019-05-19 00:00:00+00:00,FR04014,no2,49.6,µg/m³
+Paris,FR,2019-05-18 23:00:00+00:00,FR04014,no2,50.2,µg/m³
+Paris,FR,2019-05-18 22:00:00+00:00,FR04014,no2,62.5,µg/m³
+Paris,FR,2019-05-18 21:00:00+00:00,FR04014,no2,59.3,µg/m³
+Paris,FR,2019-05-18 20:00:00+00:00,FR04014,no2,36.2,µg/m³
+Paris,FR,2019-05-18 19:00:00+00:00,FR04014,no2,67.5,µg/m³
+Paris,FR,2019-05-18 18:00:00+00:00,FR04014,no2,14.5,µg/m³
+Paris,FR,2019-05-18 17:00:00+00:00,FR04014,no2,12.8,µg/m³
+Paris,FR,2019-05-18 16:00:00+00:00,FR04014,no2,14.6,µg/m³
+Paris,FR,2019-05-18 15:00:00+00:00,FR04014,no2,13.0,µg/m³
+Paris,FR,2019-05-18 14:00:00+00:00,FR04014,no2,11.8,µg/m³
+Paris,FR,2019-05-18 13:00:00+00:00,FR04014,no2,10.5,µg/m³
+Paris,FR,2019-05-18 12:00:00+00:00,FR04014,no2,12.9,µg/m³
+Paris,FR,2019-05-18 11:00:00+00:00,FR04014,no2,17.5,µg/m³
+Paris,FR,2019-05-18 10:00:00+00:00,FR04014,no2,24.1,µg/m³
+Paris,FR,2019-05-18 09:00:00+00:00,FR04014,no2,21.1,µg/m³
+Paris,FR,2019-05-18 08:00:00+00:00,FR04014,no2,20.4,µg/m³
+Paris,FR,2019-05-18 07:00:00+00:00,FR04014,no2,27.4,µg/m³
+Paris,FR,2019-05-18 06:00:00+00:00,FR04014,no2,22.1,µg/m³
+Paris,FR,2019-05-18 05:00:00+00:00,FR04014,no2,20.1,µg/m³
+Paris,FR,2019-05-18 04:00:00+00:00,FR04014,no2,16.6,µg/m³
+Paris,FR,2019-05-18 03:00:00+00:00,FR04014,no2,16.1,µg/m³
+Paris,FR,2019-05-18 02:00:00+00:00,FR04014,no2,29.0,µg/m³
+Paris,FR,2019-05-18 01:00:00+00:00,FR04014,no2,37.4,µg/m³
+Paris,FR,2019-05-18 00:00:00+00:00,FR04014,no2,31.5,µg/m³
+Paris,FR,2019-05-17 23:00:00+00:00,FR04014,no2,34.1,µg/m³
+Paris,FR,2019-05-17 22:00:00+00:00,FR04014,no2,28.2,µg/m³
+Paris,FR,2019-05-17 21:00:00+00:00,FR04014,no2,24.3,µg/m³
+Paris,FR,2019-05-17 20:00:00+00:00,FR04014,no2,23.5,µg/m³
+Paris,FR,2019-05-17 19:00:00+00:00,FR04014,no2,24.7,µg/m³
+Paris,FR,2019-05-17 18:00:00+00:00,FR04014,no2,33.6,µg/m³
+Paris,FR,2019-05-17 17:00:00+00:00,FR04014,no2,27.9,µg/m³
+Paris,FR,2019-05-17 16:00:00+00:00,FR04014,no2,20.7,µg/m³
+Paris,FR,2019-05-17 15:00:00+00:00,FR04014,no2,22.2,µg/m³
+Paris,FR,2019-05-17 14:00:00+00:00,FR04014,no2,27.0,µg/m³
+Paris,FR,2019-05-17 13:00:00+00:00,FR04014,no2,37.9,µg/m³
+Paris,FR,2019-05-17 12:00:00+00:00,FR04014,no2,46.5,µg/m³
+Paris,FR,2019-05-17 11:00:00+00:00,FR04014,no2,43.1,µg/m³
+Paris,FR,2019-05-17 10:00:00+00:00,FR04014,no2,51.5,µg/m³
+Paris,FR,2019-05-17 09:00:00+00:00,FR04014,no2,60.5,µg/m³
+Paris,FR,2019-05-17 08:00:00+00:00,FR04014,no2,57.5,µg/m³
+Paris,FR,2019-05-17 07:00:00+00:00,FR04014,no2,55.0,µg/m³
+Paris,FR,2019-05-17 06:00:00+00:00,FR04014,no2,46.3,µg/m³
+Paris,FR,2019-05-17 05:00:00+00:00,FR04014,no2,34.0,µg/m³
+Paris,FR,2019-05-17 04:00:00+00:00,FR04014,no2,28.4,µg/m³
+Paris,FR,2019-05-17 03:00:00+00:00,FR04014,no2,26.6,µg/m³
+Paris,FR,2019-05-17 02:00:00+00:00,FR04014,no2,24.6,µg/m³
+Paris,FR,2019-05-17 01:00:00+00:00,FR04014,no2,26.1,µg/m³
+Paris,FR,2019-05-17 00:00:00+00:00,FR04014,no2,46.3,µg/m³
+Paris,FR,2019-05-16 23:00:00+00:00,FR04014,no2,43.7,µg/m³
+Paris,FR,2019-05-16 22:00:00+00:00,FR04014,no2,37.1,µg/m³
+Paris,FR,2019-05-16 21:00:00+00:00,FR04014,no2,24.3,µg/m³
+Paris,FR,2019-05-16 20:00:00+00:00,FR04014,no2,24.8,µg/m³
+Paris,FR,2019-05-16 19:00:00+00:00,FR04014,no2,14.4,µg/m³
+Paris,FR,2019-05-16 18:00:00+00:00,FR04014,no2,15.9,µg/m³
+Paris,FR,2019-05-16 17:00:00+00:00,FR04014,no2,13.5,µg/m³
+Paris,FR,2019-05-16 16:00:00+00:00,FR04014,no2,10.3,µg/m³
+Paris,FR,2019-05-16 15:00:00+00:00,FR04014,no2,10.1,µg/m³
+Paris,FR,2019-05-16 14:00:00+00:00,FR04014,no2,8.1,µg/m³
+Paris,FR,2019-05-16 13:00:00+00:00,FR04014,no2,8.5,µg/m³
+Paris,FR,2019-05-16 12:00:00+00:00,FR04014,no2,9.2,µg/m³
+Paris,FR,2019-05-16 11:00:00+00:00,FR04014,no2,10.5,µg/m³
+Paris,FR,2019-05-16 10:00:00+00:00,FR04014,no2,13.5,µg/m³
+Paris,FR,2019-05-16 09:00:00+00:00,FR04014,no2,29.5,µg/m³
+Paris,FR,2019-05-16 08:00:00+00:00,FR04014,no2,39.4,µg/m³
+Paris,FR,2019-05-16 07:00:00+00:00,FR04014,no2,40.0,µg/m³
+Paris,FR,2019-05-16 05:00:00+00:00,FR04014,no2,52.6,µg/m³
+Paris,FR,2019-05-16 04:00:00+00:00,FR04014,no2,37.0,µg/m³
+Paris,FR,2019-05-16 03:00:00+00:00,FR04014,no2,27.9,µg/m³
+Paris,FR,2019-05-16 02:00:00+00:00,FR04014,no2,26.7,µg/m³
+Paris,FR,2019-05-16 01:00:00+00:00,FR04014,no2,26.0,µg/m³
+Paris,FR,2019-05-16 00:00:00+00:00,FR04014,no2,27.4,µg/m³
+Paris,FR,2019-05-15 23:00:00+00:00,FR04014,no2,30.9,µg/m³
+Paris,FR,2019-05-15 22:00:00+00:00,FR04014,no2,44.1,µg/m³
+Paris,FR,2019-05-15 21:00:00+00:00,FR04014,no2,36.0,µg/m³
+Paris,FR,2019-05-15 20:00:00+00:00,FR04014,no2,30.1,µg/m³
+Paris,FR,2019-05-15 19:00:00+00:00,FR04014,no2,20.3,µg/m³
+Paris,FR,2019-05-15 18:00:00+00:00,FR04014,no2,16.5,µg/m³
+Paris,FR,2019-05-15 17:00:00+00:00,FR04014,no2,12.9,µg/m³
+Paris,FR,2019-05-15 16:00:00+00:00,FR04014,no2,12.2,µg/m³
+Paris,FR,2019-05-15 15:00:00+00:00,FR04014,no2,12.9,µg/m³
+Paris,FR,2019-05-15 14:00:00+00:00,FR04014,no2,11.9,µg/m³
+Paris,FR,2019-05-15 13:00:00+00:00,FR04014,no2,10.0,µg/m³
+Paris,FR,2019-05-15 12:00:00+00:00,FR04014,no2,9.4,µg/m³
+Paris,FR,2019-05-15 11:00:00+00:00,FR04014,no2,0.0,µg/m³
+Paris,FR,2019-05-15 10:00:00+00:00,FR04014,no2,0.0,µg/m³
+Paris,FR,2019-05-15 09:00:00+00:00,FR04014,no2,0.0,µg/m³
+Paris,FR,2019-05-15 08:00:00+00:00,FR04014,no2,25.7,µg/m³
+Paris,FR,2019-05-15 07:00:00+00:00,FR04014,no2,32.1,µg/m³
+Paris,FR,2019-05-15 06:00:00+00:00,FR04014,no2,48.1,µg/m³
+Paris,FR,2019-05-15 05:00:00+00:00,FR04014,no2,46.5,µg/m³
+Paris,FR,2019-05-15 04:00:00+00:00,FR04014,no2,28.9,µg/m³
+Paris,FR,2019-05-15 03:00:00+00:00,FR04014,no2,17.9,µg/m³
+Paris,FR,2019-05-15 02:00:00+00:00,FR04014,no2,16.8,µg/m³
+Paris,FR,2019-05-15 01:00:00+00:00,FR04014,no2,17.2,µg/m³
+Paris,FR,2019-05-15 00:00:00+00:00,FR04014,no2,18.8,µg/m³
+Paris,FR,2019-05-14 23:00:00+00:00,FR04014,no2,24.3,µg/m³
+Paris,FR,2019-05-14 22:00:00+00:00,FR04014,no2,30.9,µg/m³
+Paris,FR,2019-05-14 21:00:00+00:00,FR04014,no2,29.0,µg/m³
+Paris,FR,2019-05-14 20:00:00+00:00,FR04014,no2,28.4,µg/m³
+Paris,FR,2019-05-14 19:00:00+00:00,FR04014,no2,23.3,µg/m³
+Paris,FR,2019-05-14 18:00:00+00:00,FR04014,no2,17.9,µg/m³
+Paris,FR,2019-05-14 17:00:00+00:00,FR04014,no2,17.7,µg/m³
+Paris,FR,2019-05-14 16:00:00+00:00,FR04014,no2,15.3,µg/m³
+Paris,FR,2019-05-14 15:00:00+00:00,FR04014,no2,13.4,µg/m³
+Paris,FR,2019-05-14 14:00:00+00:00,FR04014,no2,15.2,µg/m³
+Paris,FR,2019-05-14 13:00:00+00:00,FR04014,no2,11.0,µg/m³
+Paris,FR,2019-05-14 12:00:00+00:00,FR04014,no2,10.2,µg/m³
+Paris,FR,2019-05-14 11:00:00+00:00,FR04014,no2,11.3,µg/m³
+Paris,FR,2019-05-14 10:00:00+00:00,FR04014,no2,12.9,µg/m³
+Paris,FR,2019-05-14 09:00:00+00:00,FR04014,no2,19.0,µg/m³
+Paris,FR,2019-05-14 08:00:00+00:00,FR04014,no2,28.8,µg/m³
+Paris,FR,2019-05-14 07:00:00+00:00,FR04014,no2,41.3,µg/m³
+Paris,FR,2019-05-14 06:00:00+00:00,FR04014,no2,46.1,µg/m³
+Paris,FR,2019-05-14 05:00:00+00:00,FR04014,no2,38.6,µg/m³
+Paris,FR,2019-05-14 04:00:00+00:00,FR04014,no2,31.6,µg/m³
+Paris,FR,2019-05-14 03:00:00+00:00,FR04014,no2,22.1,µg/m³
+Paris,FR,2019-05-14 02:00:00+00:00,FR04014,no2,19.0,µg/m³
+Paris,FR,2019-05-14 01:00:00+00:00,FR04014,no2,19.1,µg/m³
+Paris,FR,2019-05-14 00:00:00+00:00,FR04014,no2,20.9,µg/m³
+Paris,FR,2019-05-13 23:00:00+00:00,FR04014,no2,22.8,µg/m³
+Paris,FR,2019-05-13 22:00:00+00:00,FR04014,no2,27.3,µg/m³
+Paris,FR,2019-05-13 21:00:00+00:00,FR04014,no2,30.4,µg/m³
+Paris,FR,2019-05-13 20:00:00+00:00,FR04014,no2,28.3,µg/m³
+Paris,FR,2019-05-13 19:00:00+00:00,FR04014,no2,23.9,µg/m³
+Paris,FR,2019-05-13 18:00:00+00:00,FR04014,no2,15.5,µg/m³
+Paris,FR,2019-05-13 17:00:00+00:00,FR04014,no2,13.0,µg/m³
+Paris,FR,2019-05-13 16:00:00+00:00,FR04014,no2,12.1,µg/m³
+Paris,FR,2019-05-13 15:00:00+00:00,FR04014,no2,10.6,µg/m³
+Paris,FR,2019-05-13 14:00:00+00:00,FR04014,no2,10.7,µg/m³
+Paris,FR,2019-05-13 13:00:00+00:00,FR04014,no2,10.1,µg/m³
+Paris,FR,2019-05-13 12:00:00+00:00,FR04014,no2,9.2,µg/m³
+Paris,FR,2019-05-13 11:00:00+00:00,FR04014,no2,9.6,µg/m³
+Paris,FR,2019-05-13 10:00:00+00:00,FR04014,no2,12.8,µg/m³
+Paris,FR,2019-05-13 09:00:00+00:00,FR04014,no2,20.6,µg/m³
+Paris,FR,2019-05-13 08:00:00+00:00,FR04014,no2,32.1,µg/m³
+Paris,FR,2019-05-13 07:00:00+00:00,FR04014,no2,41.0,µg/m³
+Paris,FR,2019-05-13 06:00:00+00:00,FR04014,no2,45.2,µg/m³
+Paris,FR,2019-05-13 05:00:00+00:00,FR04014,no2,38.3,µg/m³
+Paris,FR,2019-05-13 04:00:00+00:00,FR04014,no2,25.1,µg/m³
+Paris,FR,2019-05-13 03:00:00+00:00,FR04014,no2,18.9,µg/m³
+Paris,FR,2019-05-13 02:00:00+00:00,FR04014,no2,18.5,µg/m³
+Paris,FR,2019-05-13 01:00:00+00:00,FR04014,no2,18.9,µg/m³
+Paris,FR,2019-05-13 00:00:00+00:00,FR04014,no2,25.0,µg/m³
+Paris,FR,2019-05-12 23:00:00+00:00,FR04014,no2,32.5,µg/m³
+Paris,FR,2019-05-12 22:00:00+00:00,FR04014,no2,46.5,µg/m³
+Paris,FR,2019-05-12 21:00:00+00:00,FR04014,no2,34.2,µg/m³
+Paris,FR,2019-05-12 20:00:00+00:00,FR04014,no2,24.1,µg/m³
+Paris,FR,2019-05-12 19:00:00+00:00,FR04014,no2,19.5,µg/m³
+Paris,FR,2019-05-12 18:00:00+00:00,FR04014,no2,18.2,µg/m³
+Paris,FR,2019-05-12 17:00:00+00:00,FR04014,no2,13.9,µg/m³
+Paris,FR,2019-05-12 16:00:00+00:00,FR04014,no2,11.7,µg/m³
+Paris,FR,2019-05-12 15:00:00+00:00,FR04014,no2,9.6,µg/m³
+Paris,FR,2019-05-12 14:00:00+00:00,FR04014,no2,9.1,µg/m³
+Paris,FR,2019-05-12 13:00:00+00:00,FR04014,no2,8.7,µg/m³
+Paris,FR,2019-05-12 12:00:00+00:00,FR04014,no2,10.9,µg/m³
+Paris,FR,2019-05-12 11:00:00+00:00,FR04014,no2,11.4,µg/m³
+Paris,FR,2019-05-12 10:00:00+00:00,FR04014,no2,11.4,µg/m³
+Paris,FR,2019-05-12 09:00:00+00:00,FR04014,no2,11.7,µg/m³
+Paris,FR,2019-05-12 08:00:00+00:00,FR04014,no2,14.6,µg/m³
+Paris,FR,2019-05-12 07:00:00+00:00,FR04014,no2,15.9,µg/m³
+Paris,FR,2019-05-12 06:00:00+00:00,FR04014,no2,20.1,µg/m³
+Paris,FR,2019-05-12 05:00:00+00:00,FR04014,no2,19.2,µg/m³
+Paris,FR,2019-05-12 04:00:00+00:00,FR04014,no2,16.2,µg/m³
+Paris,FR,2019-05-12 03:00:00+00:00,FR04014,no2,16.0,µg/m³
+Paris,FR,2019-05-12 02:00:00+00:00,FR04014,no2,17.2,µg/m³
+Paris,FR,2019-05-12 01:00:00+00:00,FR04014,no2,19.2,µg/m³
+Paris,FR,2019-05-12 00:00:00+00:00,FR04014,no2,22.8,µg/m³
+Paris,FR,2019-05-11 23:00:00+00:00,FR04014,no2,26.4,µg/m³
+Paris,FR,2019-05-11 22:00:00+00:00,FR04014,no2,27.7,µg/m³
+Paris,FR,2019-05-11 21:00:00+00:00,FR04014,no2,21.1,µg/m³
+Paris,FR,2019-05-11 20:00:00+00:00,FR04014,no2,24.2,µg/m³
+Paris,FR,2019-05-11 19:00:00+00:00,FR04014,no2,31.2,µg/m³
+Paris,FR,2019-05-11 18:00:00+00:00,FR04014,no2,33.1,µg/m³
+Paris,FR,2019-05-11 17:00:00+00:00,FR04014,no2,32.0,µg/m³
+Paris,FR,2019-05-11 16:00:00+00:00,FR04014,no2,19.5,µg/m³
+Paris,FR,2019-05-11 15:00:00+00:00,FR04014,no2,18.0,µg/m³
+Paris,FR,2019-05-11 14:00:00+00:00,FR04014,no2,17.8,µg/m³
+Paris,FR,2019-05-11 13:00:00+00:00,FR04014,no2,30.8,µg/m³
+Paris,FR,2019-05-11 12:00:00+00:00,FR04014,no2,30.2,µg/m³
+Paris,FR,2019-05-11 11:00:00+00:00,FR04014,no2,33.2,µg/m³
+Paris,FR,2019-05-11 10:00:00+00:00,FR04014,no2,36.8,µg/m³
+Paris,FR,2019-05-11 09:00:00+00:00,FR04014,no2,35.7,µg/m³
+Paris,FR,2019-05-11 08:00:00+00:00,FR04014,no2,32.1,µg/m³
+Paris,FR,2019-05-11 07:00:00+00:00,FR04014,no2,29.0,µg/m³
+Paris,FR,2019-05-11 06:00:00+00:00,FR04014,no2,28.9,µg/m³
+Paris,FR,2019-05-11 02:00:00+00:00,FR04014,no2,14.9,µg/m³
+Paris,FR,2019-05-11 01:00:00+00:00,FR04014,no2,15.5,µg/m³
+Paris,FR,2019-05-11 00:00:00+00:00,FR04014,no2,24.8,µg/m³
+Paris,FR,2019-05-10 23:00:00+00:00,FR04014,no2,26.0,µg/m³
+Paris,FR,2019-05-10 22:00:00+00:00,FR04014,no2,28.1,µg/m³
+Paris,FR,2019-05-10 21:00:00+00:00,FR04014,no2,37.0,µg/m³
+Paris,FR,2019-05-10 20:00:00+00:00,FR04014,no2,43.6,µg/m³
+Paris,FR,2019-05-10 19:00:00+00:00,FR04014,no2,39.3,µg/m³
+Paris,FR,2019-05-10 18:00:00+00:00,FR04014,no2,33.4,µg/m³
+Paris,FR,2019-05-10 17:00:00+00:00,FR04014,no2,37.8,µg/m³
+Paris,FR,2019-05-10 16:00:00+00:00,FR04014,no2,30.8,µg/m³
+Paris,FR,2019-05-10 15:00:00+00:00,FR04014,no2,29.6,µg/m³
+Paris,FR,2019-05-10 14:00:00+00:00,FR04014,no2,29.3,µg/m³
+Paris,FR,2019-05-10 13:00:00+00:00,FR04014,no2,22.0,µg/m³
+Paris,FR,2019-05-10 12:00:00+00:00,FR04014,no2,25.3,µg/m³
+Paris,FR,2019-05-10 11:00:00+00:00,FR04014,no2,23.2,µg/m³
+Paris,FR,2019-05-10 10:00:00+00:00,FR04014,no2,35.1,µg/m³
+Paris,FR,2019-05-10 09:00:00+00:00,FR04014,no2,53.4,µg/m³
+Paris,FR,2019-05-10 08:00:00+00:00,FR04014,no2,60.7,µg/m³
+Paris,FR,2019-05-10 07:00:00+00:00,FR04014,no2,57.3,µg/m³
+Paris,FR,2019-05-10 06:00:00+00:00,FR04014,no2,47.4,µg/m³
+Paris,FR,2019-05-10 05:00:00+00:00,FR04014,no2,37.8,µg/m³
+Paris,FR,2019-05-10 04:00:00+00:00,FR04014,no2,20.5,µg/m³
+Paris,FR,2019-05-10 03:00:00+00:00,FR04014,no2,15.0,µg/m³
+Paris,FR,2019-05-10 02:00:00+00:00,FR04014,no2,14.1,µg/m³
+Paris,FR,2019-05-10 01:00:00+00:00,FR04014,no2,19.1,µg/m³
+Paris,FR,2019-05-10 00:00:00+00:00,FR04014,no2,22.7,µg/m³
+Paris,FR,2019-05-09 23:00:00+00:00,FR04014,no2,26.7,µg/m³
+Paris,FR,2019-05-09 22:00:00+00:00,FR04014,no2,29.7,µg/m³
+Paris,FR,2019-05-09 21:00:00+00:00,FR04014,no2,34.5,µg/m³
+Paris,FR,2019-05-09 20:00:00+00:00,FR04014,no2,29.2,µg/m³
+Paris,FR,2019-05-09 19:00:00+00:00,FR04014,no2,23.8,µg/m³
+Paris,FR,2019-05-09 18:00:00+00:00,FR04014,no2,24.4,µg/m³
+Paris,FR,2019-05-09 17:00:00+00:00,FR04014,no2,29.9,µg/m³
+Paris,FR,2019-05-09 16:00:00+00:00,FR04014,no2,27.0,µg/m³
+Paris,FR,2019-05-09 15:00:00+00:00,FR04014,no2,23.9,µg/m³
+Paris,FR,2019-05-09 14:00:00+00:00,FR04014,no2,24.6,µg/m³
+Paris,FR,2019-05-09 13:00:00+00:00,FR04014,no2,21.3,µg/m³
+Paris,FR,2019-05-09 12:00:00+00:00,FR04014,no2,35.1,µg/m³
+Paris,FR,2019-05-09 11:00:00+00:00,FR04014,no2,34.2,µg/m³
+Paris,FR,2019-05-09 10:00:00+00:00,FR04014,no2,43.1,µg/m³
+Paris,FR,2019-05-09 09:00:00+00:00,FR04014,no2,32.3,µg/m³
+Paris,FR,2019-05-09 08:00:00+00:00,FR04014,no2,32.2,µg/m³
+Paris,FR,2019-05-09 07:00:00+00:00,FR04014,no2,49.0,µg/m³
+Paris,FR,2019-05-09 06:00:00+00:00,FR04014,no2,50.7,µg/m³
+Paris,FR,2019-05-09 05:00:00+00:00,FR04014,no2,34.5,µg/m³
+Paris,FR,2019-05-09 04:00:00+00:00,FR04014,no2,15.3,µg/m³
+Paris,FR,2019-05-09 03:00:00+00:00,FR04014,no2,10.4,µg/m³
+Paris,FR,2019-05-09 02:00:00+00:00,FR04014,no2,10.0,µg/m³
+Paris,FR,2019-05-09 01:00:00+00:00,FR04014,no2,10.6,µg/m³
+Paris,FR,2019-05-09 00:00:00+00:00,FR04014,no2,14.7,µg/m³
+Paris,FR,2019-05-08 23:00:00+00:00,FR04014,no2,25.2,µg/m³
+Paris,FR,2019-05-08 22:00:00+00:00,FR04014,no2,32.2,µg/m³
+Paris,FR,2019-05-08 21:00:00+00:00,FR04014,no2,48.9,µg/m³
+Paris,FR,2019-05-08 20:00:00+00:00,FR04014,no2,38.3,µg/m³
+Paris,FR,2019-05-08 19:00:00+00:00,FR04014,no2,41.3,µg/m³
+Paris,FR,2019-05-08 18:00:00+00:00,FR04014,no2,27.8,µg/m³
+Paris,FR,2019-05-08 17:00:00+00:00,FR04014,no2,29.3,µg/m³
+Paris,FR,2019-05-08 16:00:00+00:00,FR04014,no2,38.6,µg/m³
+Paris,FR,2019-05-08 15:00:00+00:00,FR04014,no2,26.0,µg/m³
+Paris,FR,2019-05-08 14:00:00+00:00,FR04014,no2,25.3,µg/m³
+Paris,FR,2019-05-08 13:00:00+00:00,FR04014,no2,14.3,µg/m³
+Paris,FR,2019-05-08 12:00:00+00:00,FR04014,no2,15.1,µg/m³
+Paris,FR,2019-05-08 11:00:00+00:00,FR04014,no2,21.4,µg/m³
+Paris,FR,2019-05-08 10:00:00+00:00,FR04014,no2,33.4,µg/m³
+Paris,FR,2019-05-08 09:00:00+00:00,FR04014,no2,19.7,µg/m³
+Paris,FR,2019-05-08 08:00:00+00:00,FR04014,no2,17.0,µg/m³
+Paris,FR,2019-05-08 07:00:00+00:00,FR04014,no2,19.5,µg/m³
+Paris,FR,2019-05-08 06:00:00+00:00,FR04014,no2,21.7,µg/m³
+Paris,FR,2019-05-08 05:00:00+00:00,FR04014,no2,19.3,µg/m³
+Paris,FR,2019-05-08 04:00:00+00:00,FR04014,no2,15.5,µg/m³
+Paris,FR,2019-05-08 03:00:00+00:00,FR04014,no2,13.5,µg/m³
+Paris,FR,2019-05-08 02:00:00+00:00,FR04014,no2,15.3,µg/m³
+Paris,FR,2019-05-08 01:00:00+00:00,FR04014,no2,19.6,µg/m³
+Paris,FR,2019-05-08 00:00:00+00:00,FR04014,no2,22.1,µg/m³
+Paris,FR,2019-05-07 23:00:00+00:00,FR04014,no2,34.0,µg/m³
+Paris,FR,2019-05-07 22:00:00+00:00,FR04014,no2,35.8,µg/m³
+Paris,FR,2019-05-07 21:00:00+00:00,FR04014,no2,33.9,µg/m³
+Paris,FR,2019-05-07 20:00:00+00:00,FR04014,no2,36.2,µg/m³
+Paris,FR,2019-05-07 19:00:00+00:00,FR04014,no2,26.8,µg/m³
+Paris,FR,2019-05-07 18:00:00+00:00,FR04014,no2,21.4,µg/m³
+Paris,FR,2019-05-07 17:00:00+00:00,FR04014,no2,22.3,µg/m³
+Paris,FR,2019-05-07 16:00:00+00:00,FR04014,no2,18.2,µg/m³
+Paris,FR,2019-05-07 15:00:00+00:00,FR04014,no2,11.7,µg/m³
+Paris,FR,2019-05-07 14:00:00+00:00,FR04014,no2,11.0,µg/m³
+Paris,FR,2019-05-07 13:00:00+00:00,FR04014,no2,13.2,µg/m³
+Paris,FR,2019-05-07 12:00:00+00:00,FR04014,no2,10.6,µg/m³
+Paris,FR,2019-05-07 11:00:00+00:00,FR04014,no2,13.0,µg/m³
+Paris,FR,2019-05-07 10:00:00+00:00,FR04014,no2,20.1,µg/m³
+Paris,FR,2019-05-07 09:00:00+00:00,FR04014,no2,34.5,µg/m³
+Paris,FR,2019-05-07 08:00:00+00:00,FR04014,no2,56.0,µg/m³
+Paris,FR,2019-05-07 07:00:00+00:00,FR04014,no2,67.9,µg/m³
+Paris,FR,2019-05-07 06:00:00+00:00,FR04014,no2,77.7,µg/m³
+Paris,FR,2019-05-07 05:00:00+00:00,FR04014,no2,72.4,µg/m³
+Paris,FR,2019-05-07 04:00:00+00:00,FR04014,no2,61.9,µg/m³
+Paris,FR,2019-05-07 03:00:00+00:00,FR04014,no2,50.4,µg/m³
+Paris,FR,2019-05-07 02:00:00+00:00,FR04014,no2,27.7,µg/m³
+Paris,FR,2019-05-07 01:00:00+00:00,FR04014,no2,25.0,µg/m³
+Paris,FR,2019-05-07 00:00:00+00:00,FR04014,no2,47.2,µg/m³
+Paris,FR,2019-05-06 23:00:00+00:00,FR04014,no2,53.1,µg/m³
+Paris,FR,2019-05-06 22:00:00+00:00,FR04014,no2,46.5,µg/m³
+Paris,FR,2019-05-06 21:00:00+00:00,FR04014,no2,37.2,µg/m³
+Paris,FR,2019-05-06 20:00:00+00:00,FR04014,no2,35.9,µg/m³
+Paris,FR,2019-05-06 19:00:00+00:00,FR04014,no2,33.7,µg/m³
+Paris,FR,2019-05-06 18:00:00+00:00,FR04014,no2,28.4,µg/m³
+Paris,FR,2019-05-06 17:00:00+00:00,FR04014,no2,32.7,µg/m³
+Paris,FR,2019-05-06 16:00:00+00:00,FR04014,no2,38.4,µg/m³
+Paris,FR,2019-05-06 15:00:00+00:00,FR04014,no2,39.3,µg/m³
+Paris,FR,2019-05-06 14:00:00+00:00,FR04014,no2,37.8,µg/m³
+Paris,FR,2019-05-06 13:00:00+00:00,FR04014,no2,38.6,µg/m³
+Paris,FR,2019-05-06 12:00:00+00:00,FR04014,no2,42.1,µg/m³
+Paris,FR,2019-05-06 11:00:00+00:00,FR04014,no2,44.3,µg/m³
+Paris,FR,2019-05-06 10:00:00+00:00,FR04014,no2,42.4,µg/m³
+Paris,FR,2019-05-06 09:00:00+00:00,FR04014,no2,44.2,µg/m³
+Paris,FR,2019-05-06 08:00:00+00:00,FR04014,no2,52.5,µg/m³
+Paris,FR,2019-05-06 07:00:00+00:00,FR04014,no2,68.9,µg/m³
+Paris,FR,2019-05-06 06:00:00+00:00,FR04014,no2,62.4,µg/m³
+Paris,FR,2019-05-06 05:00:00+00:00,FR04014,no2,56.7,µg/m³
+Paris,FR,2019-05-06 04:00:00+00:00,FR04014,no2,36.0,µg/m³
+Paris,FR,2019-05-06 03:00:00+00:00,FR04014,no2,26.5,µg/m³
+Paris,FR,2019-05-06 02:00:00+00:00,FR04014,no2,25.1,µg/m³
+Paris,FR,2019-05-06 01:00:00+00:00,FR04014,no2,26.6,µg/m³
+Paris,FR,2019-05-06 00:00:00+00:00,FR04014,no2,26.8,µg/m³
+Paris,FR,2019-05-05 23:00:00+00:00,FR04014,no2,26.4,µg/m³
+Paris,FR,2019-05-05 22:00:00+00:00,FR04014,no2,28.6,µg/m³
+Paris,FR,2019-05-05 21:00:00+00:00,FR04014,no2,25.8,µg/m³
+Paris,FR,2019-05-05 20:00:00+00:00,FR04014,no2,26.7,µg/m³
+Paris,FR,2019-05-05 19:00:00+00:00,FR04014,no2,24.3,µg/m³
+Paris,FR,2019-05-05 18:00:00+00:00,FR04014,no2,20.4,µg/m³
+Paris,FR,2019-05-05 17:00:00+00:00,FR04014,no2,17.2,µg/m³
+Paris,FR,2019-05-05 16:00:00+00:00,FR04014,no2,16.9,µg/m³
+Paris,FR,2019-05-05 15:00:00+00:00,FR04014,no2,16.8,µg/m³
+Paris,FR,2019-05-05 14:00:00+00:00,FR04014,no2,17.6,µg/m³
+Paris,FR,2019-05-05 13:00:00+00:00,FR04014,no2,14.9,µg/m³
+Paris,FR,2019-05-05 12:00:00+00:00,FR04014,no2,10.3,µg/m³
+Paris,FR,2019-05-05 11:00:00+00:00,FR04014,no2,11.1,µg/m³
+Paris,FR,2019-05-05 10:00:00+00:00,FR04014,no2,10.3,µg/m³
+Paris,FR,2019-05-05 09:00:00+00:00,FR04014,no2,11.6,µg/m³
+Paris,FR,2019-05-05 08:00:00+00:00,FR04014,no2,16.6,µg/m³
+Paris,FR,2019-05-05 07:00:00+00:00,FR04014,no2,21.9,µg/m³
+Paris,FR,2019-05-05 06:00:00+00:00,FR04014,no2,26.4,µg/m³
+Paris,FR,2019-05-05 05:00:00+00:00,FR04014,no2,29.2,µg/m³
+Paris,FR,2019-05-05 04:00:00+00:00,FR04014,no2,26.1,µg/m³
+Paris,FR,2019-05-05 03:00:00+00:00,FR04014,no2,22.7,µg/m³
+Paris,FR,2019-05-05 02:00:00+00:00,FR04014,no2,27.2,µg/m³
+Paris,FR,2019-05-05 01:00:00+00:00,FR04014,no2,25.7,µg/m³
+Paris,FR,2019-05-05 00:00:00+00:00,FR04014,no2,24.3,µg/m³
+Paris,FR,2019-05-04 23:00:00+00:00,FR04014,no2,25.8,µg/m³
+Paris,FR,2019-05-04 22:00:00+00:00,FR04014,no2,23.9,µg/m³
+Paris,FR,2019-05-04 21:00:00+00:00,FR04014,no2,27.1,µg/m³
+Paris,FR,2019-05-04 20:00:00+00:00,FR04014,no2,33.1,µg/m³
+Paris,FR,2019-05-04 19:00:00+00:00,FR04014,no2,26.8,µg/m³
+Paris,FR,2019-05-04 18:00:00+00:00,FR04014,no2,16.7,µg/m³
+Paris,FR,2019-05-04 17:00:00+00:00,FR04014,no2,18.2,µg/m³
+Paris,FR,2019-05-04 16:00:00+00:00,FR04014,no2,13.2,µg/m³
+Paris,FR,2019-05-04 15:00:00+00:00,FR04014,no2,17.7,µg/m³
+Paris,FR,2019-05-04 14:00:00+00:00,FR04014,no2,17.1,µg/m³
+Paris,FR,2019-05-04 13:00:00+00:00,FR04014,no2,16.5,µg/m³
+Paris,FR,2019-05-04 12:00:00+00:00,FR04014,no2,21.0,µg/m³
+Paris,FR,2019-05-04 11:00:00+00:00,FR04014,no2,24.4,µg/m³
+Paris,FR,2019-05-04 10:00:00+00:00,FR04014,no2,25.8,µg/m³
+Paris,FR,2019-05-04 09:00:00+00:00,FR04014,no2,26.1,µg/m³
+Paris,FR,2019-05-04 08:00:00+00:00,FR04014,no2,22.5,µg/m³
+Paris,FR,2019-05-04 07:00:00+00:00,FR04014,no2,20.8,µg/m³
+Paris,FR,2019-05-04 06:00:00+00:00,FR04014,no2,18.5,µg/m³
+Paris,FR,2019-05-04 05:00:00+00:00,FR04014,no2,21.9,µg/m³
+Paris,FR,2019-05-04 04:00:00+00:00,FR04014,no2,20.0,µg/m³
+Paris,FR,2019-05-04 03:00:00+00:00,FR04014,no2,19.5,µg/m³
+Paris,FR,2019-05-04 02:00:00+00:00,FR04014,no2,22.3,µg/m³
+Paris,FR,2019-05-04 01:00:00+00:00,FR04014,no2,22.2,µg/m³
+Paris,FR,2019-05-04 00:00:00+00:00,FR04014,no2,29.7,µg/m³
+Paris,FR,2019-05-03 23:00:00+00:00,FR04014,no2,31.3,µg/m³
+Paris,FR,2019-05-03 22:00:00+00:00,FR04014,no2,43.2,µg/m³
+Paris,FR,2019-05-03 21:00:00+00:00,FR04014,no2,31.8,µg/m³
+Paris,FR,2019-05-03 20:00:00+00:00,FR04014,no2,24.6,µg/m³
+Paris,FR,2019-05-03 19:00:00+00:00,FR04014,no2,37.2,µg/m³
+Paris,FR,2019-05-03 18:00:00+00:00,FR04014,no2,59.6,µg/m³
+Paris,FR,2019-05-03 17:00:00+00:00,FR04014,no2,46.5,µg/m³
+Paris,FR,2019-05-03 16:00:00+00:00,FR04014,no2,33.0,µg/m³
+Paris,FR,2019-05-03 15:00:00+00:00,FR04014,no2,29.2,µg/m³
+Paris,FR,2019-05-03 14:00:00+00:00,FR04014,no2,36.0,µg/m³
+Paris,FR,2019-05-03 13:00:00+00:00,FR04014,no2,38.1,µg/m³
+Paris,FR,2019-05-03 12:00:00+00:00,FR04014,no2,29.0,µg/m³
+Paris,FR,2019-05-03 11:00:00+00:00,FR04014,no2,38.2,µg/m³
+Paris,FR,2019-05-03 10:00:00+00:00,FR04014,no2,46.3,µg/m³
+Paris,FR,2019-05-03 09:00:00+00:00,FR04014,no2,39.8,µg/m³
+Paris,FR,2019-05-03 08:00:00+00:00,FR04014,no2,46.4,µg/m³
+Paris,FR,2019-05-03 07:00:00+00:00,FR04014,no2,48.1,µg/m³
+Paris,FR,2019-05-03 06:00:00+00:00,FR04014,no2,45.1,µg/m³
+Paris,FR,2019-05-03 05:00:00+00:00,FR04014,no2,32.8,µg/m³
+Paris,FR,2019-05-03 04:00:00+00:00,FR04014,no2,23.3,µg/m³
+Paris,FR,2019-05-03 03:00:00+00:00,FR04014,no2,17.6,µg/m³
+Paris,FR,2019-05-03 02:00:00+00:00,FR04014,no2,17.5,µg/m³
+Paris,FR,2019-05-03 01:00:00+00:00,FR04014,no2,20.5,µg/m³
+Paris,FR,2019-05-03 00:00:00+00:00,FR04014,no2,26.7,µg/m³
+Paris,FR,2019-05-02 23:00:00+00:00,FR04014,no2,27.5,µg/m³
+Paris,FR,2019-05-02 22:00:00+00:00,FR04014,no2,31.1,µg/m³
+Paris,FR,2019-05-02 21:00:00+00:00,FR04014,no2,31.0,µg/m³
+Paris,FR,2019-05-02 20:00:00+00:00,FR04014,no2,28.6,µg/m³
+Paris,FR,2019-05-02 19:00:00+00:00,FR04014,no2,30.7,µg/m³
+Paris,FR,2019-05-02 18:00:00+00:00,FR04014,no2,28.4,µg/m³
+Paris,FR,2019-05-02 17:00:00+00:00,FR04014,no2,29.9,µg/m³
+Paris,FR,2019-05-02 16:00:00+00:00,FR04014,no2,36.7,µg/m³
+Paris,FR,2019-05-02 15:00:00+00:00,FR04014,no2,41.4,µg/m³
+Paris,FR,2019-05-02 14:00:00+00:00,FR04014,no2,36.3,µg/m³
+Paris,FR,2019-05-02 13:00:00+00:00,FR04014,no2,38.3,µg/m³
+Paris,FR,2019-05-02 12:00:00+00:00,FR04014,no2,37.0,µg/m³
+Paris,FR,2019-05-02 11:00:00+00:00,FR04014,no2,32.6,µg/m³
+Paris,FR,2019-05-02 10:00:00+00:00,FR04014,no2,38.1,µg/m³
+Paris,FR,2019-05-02 09:00:00+00:00,FR04014,no2,43.6,µg/m³
+Paris,FR,2019-05-02 08:00:00+00:00,FR04014,no2,55.5,µg/m³
+Paris,FR,2019-05-02 07:00:00+00:00,FR04014,no2,51.0,µg/m³
+Paris,FR,2019-05-02 06:00:00+00:00,FR04014,no2,49.4,µg/m³
+Paris,FR,2019-05-02 05:00:00+00:00,FR04014,no2,35.8,µg/m³
+Paris,FR,2019-05-02 04:00:00+00:00,FR04014,no2,17.5,µg/m³
+Paris,FR,2019-05-02 03:00:00+00:00,FR04014,no2,15.4,µg/m³
+Paris,FR,2019-05-02 02:00:00+00:00,FR04014,no2,13.2,µg/m³
+Paris,FR,2019-05-02 01:00:00+00:00,FR04014,no2,16.3,µg/m³
+Paris,FR,2019-05-02 00:00:00+00:00,FR04014,no2,19.1,µg/m³
+Paris,FR,2019-05-01 23:00:00+00:00,FR04014,no2,22.7,µg/m³
+Paris,FR,2019-05-01 22:00:00+00:00,FR04014,no2,23.8,µg/m³
+Paris,FR,2019-05-01 21:00:00+00:00,FR04014,no2,24.4,µg/m³
+Paris,FR,2019-05-01 20:00:00+00:00,FR04014,no2,24.1,µg/m³
+Paris,FR,2019-05-01 19:00:00+00:00,FR04014,no2,22.3,µg/m³
+Paris,FR,2019-05-01 18:00:00+00:00,FR04014,no2,23.0,µg/m³
+Paris,FR,2019-05-01 17:00:00+00:00,FR04014,no2,20.5,µg/m³
+Paris,FR,2019-05-01 16:00:00+00:00,FR04014,no2,21.0,µg/m³
+Paris,FR,2019-05-01 15:00:00+00:00,FR04014,no2,24.4,µg/m³
+Paris,FR,2019-05-01 14:00:00+00:00,FR04014,no2,20.6,µg/m³
+Paris,FR,2019-05-01 13:00:00+00:00,FR04014,no2,22.5,µg/m³
+Paris,FR,2019-05-01 12:00:00+00:00,FR04014,no2,23.2,µg/m³
+Paris,FR,2019-05-01 11:00:00+00:00,FR04014,no2,28.2,µg/m³
+Paris,FR,2019-05-01 10:00:00+00:00,FR04014,no2,33.3,µg/m³
+Paris,FR,2019-05-01 09:00:00+00:00,FR04014,no2,33.5,µg/m³
+Paris,FR,2019-05-01 08:00:00+00:00,FR04014,no2,33.5,µg/m³
+Paris,FR,2019-05-01 07:00:00+00:00,FR04014,no2,37.8,µg/m³
+Paris,FR,2019-05-01 06:00:00+00:00,FR04014,no2,33.4,µg/m³
+Paris,FR,2019-05-01 05:00:00+00:00,FR04014,no2,28.5,µg/m³
+Paris,FR,2019-05-01 04:00:00+00:00,FR04014,no2,24.9,µg/m³
+Paris,FR,2019-05-01 03:00:00+00:00,FR04014,no2,23.1,µg/m³
+Paris,FR,2019-05-01 02:00:00+00:00,FR04014,no2,26.1,µg/m³
+Paris,FR,2019-05-01 01:00:00+00:00,FR04014,no2,31.2,µg/m³
+Paris,FR,2019-05-01 00:00:00+00:00,FR04014,no2,37.8,µg/m³
+Paris,FR,2019-04-30 23:00:00+00:00,FR04014,no2,43.6,µg/m³
+Paris,FR,2019-04-30 22:00:00+00:00,FR04014,no2,41.3,µg/m³
+Paris,FR,2019-04-30 21:00:00+00:00,FR04014,no2,42.8,µg/m³
+Paris,FR,2019-04-30 20:00:00+00:00,FR04014,no2,39.6,µg/m³
+Paris,FR,2019-04-30 19:00:00+00:00,FR04014,no2,36.8,µg/m³
+Paris,FR,2019-04-30 18:00:00+00:00,FR04014,no2,27.2,µg/m³
+Paris,FR,2019-04-30 17:00:00+00:00,FR04014,no2,20.1,µg/m³
+Paris,FR,2019-04-30 16:00:00+00:00,FR04014,no2,0.0,µg/m³
+Paris,FR,2019-04-30 15:00:00+00:00,FR04014,no2,0.0,µg/m³
+Paris,FR,2019-04-30 14:00:00+00:00,FR04014,no2,19.1,µg/m³
+Paris,FR,2019-04-30 13:00:00+00:00,FR04014,no2,24.2,µg/m³
+Paris,FR,2019-04-30 12:00:00+00:00,FR04014,no2,21.5,µg/m³
+Paris,FR,2019-04-30 11:00:00+00:00,FR04014,no2,28.4,µg/m³
+Paris,FR,2019-04-30 10:00:00+00:00,FR04014,no2,33.7,µg/m³
+Paris,FR,2019-04-30 09:00:00+00:00,FR04014,no2,37.0,µg/m³
+Paris,FR,2019-04-30 08:00:00+00:00,FR04014,no2,45.1,µg/m³
+Paris,FR,2019-04-30 07:00:00+00:00,FR04014,no2,44.1,µg/m³
+Paris,FR,2019-04-30 06:00:00+00:00,FR04014,no2,51.5,µg/m³
+Paris,FR,2019-04-30 05:00:00+00:00,FR04014,no2,37.3,µg/m³
+Paris,FR,2019-04-30 04:00:00+00:00,FR04014,no2,30.8,µg/m³
+Paris,FR,2019-04-30 03:00:00+00:00,FR04014,no2,23.9,µg/m³
+Paris,FR,2019-04-30 02:00:00+00:00,FR04014,no2,22.8,µg/m³
+Paris,FR,2019-04-30 01:00:00+00:00,FR04014,no2,26.1,µg/m³
+Paris,FR,2019-04-30 00:00:00+00:00,FR04014,no2,27.9,µg/m³
+Paris,FR,2019-04-29 23:00:00+00:00,FR04014,no2,34.3,µg/m³
+Paris,FR,2019-04-29 22:00:00+00:00,FR04014,no2,33.7,µg/m³
+Paris,FR,2019-04-29 21:00:00+00:00,FR04014,no2,31.6,µg/m³
+Paris,FR,2019-04-29 20:00:00+00:00,FR04014,no2,32.1,µg/m³
+Paris,FR,2019-04-29 19:00:00+00:00,FR04014,no2,21.9,µg/m³
+Paris,FR,2019-04-29 18:00:00+00:00,FR04014,no2,23.9,µg/m³
+Paris,FR,2019-04-29 17:00:00+00:00,FR04014,no2,21.4,µg/m³
+Paris,FR,2019-04-29 16:00:00+00:00,FR04014,no2,15.9,µg/m³
+Paris,FR,2019-04-29 15:00:00+00:00,FR04014,no2,15.0,µg/m³
+Paris,FR,2019-04-29 14:00:00+00:00,FR04014,no2,15.7,µg/m³
+Paris,FR,2019-04-29 13:00:00+00:00,FR04014,no2,14.3,µg/m³
+Paris,FR,2019-04-29 12:00:00+00:00,FR04014,no2,19.9,µg/m³
+Paris,FR,2019-04-29 11:00:00+00:00,FR04014,no2,23.3,µg/m³
+Paris,FR,2019-04-29 10:00:00+00:00,FR04014,no2,27.5,µg/m³
+Paris,FR,2019-04-29 09:00:00+00:00,FR04014,no2,28.5,µg/m³
+Paris,FR,2019-04-29 08:00:00+00:00,FR04014,no2,39.1,µg/m³
+Paris,FR,2019-04-29 07:00:00+00:00,FR04014,no2,45.4,µg/m³
+Paris,FR,2019-04-29 06:00:00+00:00,FR04014,no2,52.6,µg/m³
+Paris,FR,2019-04-29 05:00:00+00:00,FR04014,no2,39.3,µg/m³
+Paris,FR,2019-04-29 04:00:00+00:00,FR04014,no2,36.1,µg/m³
+Paris,FR,2019-04-29 03:00:00+00:00,FR04014,no2,34.5,µg/m³
+Paris,FR,2019-04-29 02:00:00+00:00,FR04014,no2,34.9,µg/m³
+Paris,FR,2019-04-29 01:00:00+00:00,FR04014,no2,25.5,µg/m³
+Paris,FR,2019-04-29 00:00:00+00:00,FR04014,no2,26.2,µg/m³
+Paris,FR,2019-04-28 23:00:00+00:00,FR04014,no2,29.8,µg/m³
+Paris,FR,2019-04-28 22:00:00+00:00,FR04014,no2,27.1,µg/m³
+Paris,FR,2019-04-28 21:00:00+00:00,FR04014,no2,33.2,µg/m³
+Paris,FR,2019-04-28 20:00:00+00:00,FR04014,no2,39.3,µg/m³
+Paris,FR,2019-04-28 19:00:00+00:00,FR04014,no2,32.3,µg/m³
+Paris,FR,2019-04-28 18:00:00+00:00,FR04014,no2,31.2,µg/m³
+Paris,FR,2019-04-28 17:00:00+00:00,FR04014,no2,23.7,µg/m³
+Paris,FR,2019-04-28 16:00:00+00:00,FR04014,no2,22.0,µg/m³
+Paris,FR,2019-04-28 15:00:00+00:00,FR04014,no2,22.7,µg/m³
+Paris,FR,2019-04-28 14:00:00+00:00,FR04014,no2,18.4,µg/m³
+Paris,FR,2019-04-28 13:00:00+00:00,FR04014,no2,19.8,µg/m³
+Paris,FR,2019-04-28 12:00:00+00:00,FR04014,no2,20.7,µg/m³
+Paris,FR,2019-04-28 11:00:00+00:00,FR04014,no2,17.7,µg/m³
+Paris,FR,2019-04-28 10:00:00+00:00,FR04014,no2,14.0,µg/m³
+Paris,FR,2019-04-28 09:00:00+00:00,FR04014,no2,13.5,µg/m³
+Paris,FR,2019-04-28 08:00:00+00:00,FR04014,no2,17.7,µg/m³
+Paris,FR,2019-04-28 07:00:00+00:00,FR04014,no2,15.9,µg/m³
+Paris,FR,2019-04-28 06:00:00+00:00,FR04014,no2,13.6,µg/m³
+Paris,FR,2019-04-28 05:00:00+00:00,FR04014,no2,12.7,µg/m³
+Paris,FR,2019-04-28 04:00:00+00:00,FR04014,no2,11.1,µg/m³
+Paris,FR,2019-04-28 03:00:00+00:00,FR04014,no2,10.2,µg/m³
+Paris,FR,2019-04-28 02:00:00+00:00,FR04014,no2,10.2,µg/m³
+Paris,FR,2019-04-28 01:00:00+00:00,FR04014,no2,12.3,µg/m³
+Paris,FR,2019-04-28 00:00:00+00:00,FR04014,no2,14.8,µg/m³
+Paris,FR,2019-04-27 23:00:00+00:00,FR04014,no2,18.7,µg/m³
+Paris,FR,2019-04-27 22:00:00+00:00,FR04014,no2,19.0,µg/m³
+Paris,FR,2019-04-27 21:00:00+00:00,FR04014,no2,16.7,µg/m³
+Paris,FR,2019-04-27 20:00:00+00:00,FR04014,no2,21.0,µg/m³
+Paris,FR,2019-04-27 19:00:00+00:00,FR04014,no2,17.1,µg/m³
+Paris,FR,2019-04-27 18:00:00+00:00,FR04014,no2,18.2,µg/m³
+Paris,FR,2019-04-27 17:00:00+00:00,FR04014,no2,16.9,µg/m³
+Paris,FR,2019-04-27 16:00:00+00:00,FR04014,no2,18.6,µg/m³
+Paris,FR,2019-04-27 15:00:00+00:00,FR04014,no2,13.7,µg/m³
+Paris,FR,2019-04-27 14:00:00+00:00,FR04014,no2,13.4,µg/m³
+Paris,FR,2019-04-27 13:00:00+00:00,FR04014,no2,13.9,µg/m³
+Paris,FR,2019-04-27 12:00:00+00:00,FR04014,no2,11.0,µg/m³
+Paris,FR,2019-04-27 11:00:00+00:00,FR04014,no2,12.3,µg/m³
+Paris,FR,2019-04-27 10:00:00+00:00,FR04014,no2,10.9,µg/m³
+Paris,FR,2019-04-27 09:00:00+00:00,FR04014,no2,11.9,µg/m³
+Paris,FR,2019-04-27 08:00:00+00:00,FR04014,no2,14.5,µg/m³
+Paris,FR,2019-04-27 07:00:00+00:00,FR04014,no2,19.0,µg/m³
+Paris,FR,2019-04-27 06:00:00+00:00,FR04014,no2,17.5,µg/m³
+Paris,FR,2019-04-27 05:00:00+00:00,FR04014,no2,17.9,µg/m³
+Paris,FR,2019-04-27 04:00:00+00:00,FR04014,no2,12.2,µg/m³
+Paris,FR,2019-04-27 03:00:00+00:00,FR04014,no2,10.4,µg/m³
+Paris,FR,2019-04-27 02:00:00+00:00,FR04014,no2,8.6,µg/m³
+Paris,FR,2019-04-27 01:00:00+00:00,FR04014,no2,9.3,µg/m³
+Paris,FR,2019-04-27 00:00:00+00:00,FR04014,no2,10.8,µg/m³
+Paris,FR,2019-04-26 23:00:00+00:00,FR04014,no2,19.3,µg/m³
+Paris,FR,2019-04-26 22:00:00+00:00,FR04014,no2,20.7,µg/m³
+Paris,FR,2019-04-26 21:00:00+00:00,FR04014,no2,34.8,µg/m³
+Paris,FR,2019-04-26 20:00:00+00:00,FR04014,no2,38.7,µg/m³
+Paris,FR,2019-04-26 19:00:00+00:00,FR04014,no2,27.0,µg/m³
+Paris,FR,2019-04-26 18:00:00+00:00,FR04014,no2,20.8,µg/m³
+Paris,FR,2019-04-26 17:00:00+00:00,FR04014,no2,20.2,µg/m³
+Paris,FR,2019-04-26 16:00:00+00:00,FR04014,no2,18.6,µg/m³
+Paris,FR,2019-04-26 15:00:00+00:00,FR04014,no2,21.6,µg/m³
+Paris,FR,2019-04-26 14:00:00+00:00,FR04014,no2,18.6,µg/m³
+Paris,FR,2019-04-26 13:00:00+00:00,FR04014,no2,20.7,µg/m³
+Paris,FR,2019-04-26 12:00:00+00:00,FR04014,no2,27.2,µg/m³
+Paris,FR,2019-04-26 11:00:00+00:00,FR04014,no2,23.6,µg/m³
+Paris,FR,2019-04-26 10:00:00+00:00,FR04014,no2,22.2,µg/m³
+Paris,FR,2019-04-26 09:00:00+00:00,FR04014,no2,28.4,µg/m³
+Paris,FR,2019-04-26 08:00:00+00:00,FR04014,no2,35.3,µg/m³
+Paris,FR,2019-04-26 07:00:00+00:00,FR04014,no2,47.2,µg/m³
+Paris,FR,2019-04-26 06:00:00+00:00,FR04014,no2,61.8,µg/m³
+Paris,FR,2019-04-26 05:00:00+00:00,FR04014,no2,70.9,µg/m³
+Paris,FR,2019-04-26 04:00:00+00:00,FR04014,no2,58.3,µg/m³
+Paris,FR,2019-04-26 03:00:00+00:00,FR04014,no2,32.7,µg/m³
+Paris,FR,2019-04-26 02:00:00+00:00,FR04014,no2,27.8,µg/m³
+Paris,FR,2019-04-26 01:00:00+00:00,FR04014,no2,21.6,µg/m³
+Paris,FR,2019-04-26 00:00:00+00:00,FR04014,no2,25.1,µg/m³
+Paris,FR,2019-04-25 23:00:00+00:00,FR04014,no2,34.5,µg/m³
+Paris,FR,2019-04-25 22:00:00+00:00,FR04014,no2,31.0,µg/m³
+Paris,FR,2019-04-25 21:00:00+00:00,FR04014,no2,26.4,µg/m³
+Paris,FR,2019-04-25 20:00:00+00:00,FR04014,no2,26.8,µg/m³
+Paris,FR,2019-04-25 19:00:00+00:00,FR04014,no2,27.0,µg/m³
+Paris,FR,2019-04-25 18:00:00+00:00,FR04014,no2,26.3,µg/m³
+Paris,FR,2019-04-25 17:00:00+00:00,FR04014,no2,20.1,µg/m³
+Paris,FR,2019-04-25 16:00:00+00:00,FR04014,no2,19.9,µg/m³
+Paris,FR,2019-04-25 15:00:00+00:00,FR04014,no2,19.3,µg/m³
+Paris,FR,2019-04-25 14:00:00+00:00,FR04014,no2,21.2,µg/m³
+Paris,FR,2019-04-25 13:00:00+00:00,FR04014,no2,27.3,µg/m³
+Paris,FR,2019-04-25 12:00:00+00:00,FR04014,no2,29.1,µg/m³
+Paris,FR,2019-04-25 11:00:00+00:00,FR04014,no2,37.0,µg/m³
+Paris,FR,2019-04-25 10:00:00+00:00,FR04014,no2,45.1,µg/m³
+Paris,FR,2019-04-25 09:00:00+00:00,FR04014,no2,41.6,µg/m³
+Paris,FR,2019-04-25 08:00:00+00:00,FR04014,no2,37.6,µg/m³
+Paris,FR,2019-04-25 07:00:00+00:00,FR04014,no2,33.8,µg/m³
+Paris,FR,2019-04-25 06:00:00+00:00,FR04014,no2,26.6,µg/m³
+Paris,FR,2019-04-25 05:00:00+00:00,FR04014,no2,21.6,µg/m³
+Paris,FR,2019-04-25 04:00:00+00:00,FR04014,no2,16.7,µg/m³
+Paris,FR,2019-04-25 03:00:00+00:00,FR04014,no2,13.0,µg/m³
+Paris,FR,2019-04-25 02:00:00+00:00,FR04014,no2,14.8,µg/m³
+Paris,FR,2019-04-25 01:00:00+00:00,FR04014,no2,18.5,µg/m³
+Paris,FR,2019-04-25 00:00:00+00:00,FR04014,no2,23.1,µg/m³
+Paris,FR,2019-04-24 23:00:00+00:00,FR04014,no2,27.4,µg/m³
+Paris,FR,2019-04-24 22:00:00+00:00,FR04014,no2,36.0,µg/m³
+Paris,FR,2019-04-24 21:00:00+00:00,FR04014,no2,40.3,µg/m³
+Paris,FR,2019-04-24 20:00:00+00:00,FR04014,no2,41.0,µg/m³
+Paris,FR,2019-04-24 19:00:00+00:00,FR04014,no2,30.7,µg/m³
+Paris,FR,2019-04-24 18:00:00+00:00,FR04014,no2,22.5,µg/m³
+Paris,FR,2019-04-24 17:00:00+00:00,FR04014,no2,29.3,µg/m³
+Paris,FR,2019-04-24 16:00:00+00:00,FR04014,no2,31.3,µg/m³
+Paris,FR,2019-04-24 15:00:00+00:00,FR04014,no2,26.5,µg/m³
+Paris,FR,2019-04-24 14:00:00+00:00,FR04014,no2,26.6,µg/m³
+Paris,FR,2019-04-24 13:00:00+00:00,FR04014,no2,31.7,µg/m³
+Paris,FR,2019-04-24 12:00:00+00:00,FR04014,no2,26.4,µg/m³
+Paris,FR,2019-04-24 11:00:00+00:00,FR04014,no2,22.4,µg/m³
+Paris,FR,2019-04-24 10:00:00+00:00,FR04014,no2,25.2,µg/m³
+Paris,FR,2019-04-24 09:00:00+00:00,FR04014,no2,24.2,µg/m³
+Paris,FR,2019-04-24 08:00:00+00:00,FR04014,no2,23.8,µg/m³
+Paris,FR,2019-04-24 07:00:00+00:00,FR04014,no2,33.0,µg/m³
+Paris,FR,2019-04-24 06:00:00+00:00,FR04014,no2,36.1,µg/m³
+Paris,FR,2019-04-24 05:00:00+00:00,FR04014,no2,27.5,µg/m³
+Paris,FR,2019-04-24 04:00:00+00:00,FR04014,no2,18.0,µg/m³
+Paris,FR,2019-04-24 03:00:00+00:00,FR04014,no2,18.5,µg/m³
+Paris,FR,2019-04-24 02:00:00+00:00,FR04014,no2,21.2,µg/m³
+Paris,FR,2019-04-24 01:00:00+00:00,FR04014,no2,26.4,µg/m³
+Paris,FR,2019-04-24 00:00:00+00:00,FR04014,no2,43.8,µg/m³
+Paris,FR,2019-04-23 23:00:00+00:00,FR04014,no2,48.8,µg/m³
+Paris,FR,2019-04-23 22:00:00+00:00,FR04014,no2,47.0,µg/m³
+Paris,FR,2019-04-23 21:00:00+00:00,FR04014,no2,41.2,µg/m³
+Paris,FR,2019-04-23 20:00:00+00:00,FR04014,no2,38.1,µg/m³
+Paris,FR,2019-04-23 19:00:00+00:00,FR04014,no2,33.7,µg/m³
+Paris,FR,2019-04-23 18:00:00+00:00,FR04014,no2,33.0,µg/m³
+Paris,FR,2019-04-23 17:00:00+00:00,FR04014,no2,35.7,µg/m³
+Paris,FR,2019-04-23 16:00:00+00:00,FR04014,no2,52.9,µg/m³
+Paris,FR,2019-04-23 15:00:00+00:00,FR04014,no2,44.5,µg/m³
+Paris,FR,2019-04-23 14:00:00+00:00,FR04014,no2,48.8,µg/m³
+Paris,FR,2019-04-23 13:00:00+00:00,FR04014,no2,53.2,µg/m³
+Paris,FR,2019-04-23 12:00:00+00:00,FR04014,no2,54.1,µg/m³
+Paris,FR,2019-04-23 11:00:00+00:00,FR04014,no2,51.8,µg/m³
+Paris,FR,2019-04-23 10:00:00+00:00,FR04014,no2,47.9,µg/m³
+Paris,FR,2019-04-23 09:00:00+00:00,FR04014,no2,51.9,µg/m³
+Paris,FR,2019-04-23 08:00:00+00:00,FR04014,no2,60.7,µg/m³
+Paris,FR,2019-04-23 07:00:00+00:00,FR04014,no2,86.0,µg/m³
+Paris,FR,2019-04-23 06:00:00+00:00,FR04014,no2,74.7,µg/m³
+Paris,FR,2019-04-23 05:00:00+00:00,FR04014,no2,49.2,µg/m³
+Paris,FR,2019-04-23 04:00:00+00:00,FR04014,no2,37.2,µg/m³
+Paris,FR,2019-04-23 03:00:00+00:00,FR04014,no2,32.1,µg/m³
+Paris,FR,2019-04-23 02:00:00+00:00,FR04014,no2,32.4,µg/m³
+Paris,FR,2019-04-23 01:00:00+00:00,FR04014,no2,29.2,µg/m³
+Paris,FR,2019-04-23 00:00:00+00:00,FR04014,no2,35.7,µg/m³
+Paris,FR,2019-04-22 23:00:00+00:00,FR04014,no2,45.6,µg/m³
+Paris,FR,2019-04-22 22:00:00+00:00,FR04014,no2,44.5,µg/m³
+Paris,FR,2019-04-22 21:00:00+00:00,FR04014,no2,38.4,µg/m³
+Paris,FR,2019-04-22 20:00:00+00:00,FR04014,no2,31.4,µg/m³
+Paris,FR,2019-04-22 19:00:00+00:00,FR04014,no2,26.1,µg/m³
+Paris,FR,2019-04-22 18:00:00+00:00,FR04014,no2,15.3,µg/m³
+Paris,FR,2019-04-22 17:00:00+00:00,FR04014,no2,12.9,µg/m³
+Paris,FR,2019-04-22 16:00:00+00:00,FR04014,no2,13.9,µg/m³
+Paris,FR,2019-04-22 15:00:00+00:00,FR04014,no2,11.9,µg/m³
+Paris,FR,2019-04-22 14:00:00+00:00,FR04014,no2,8.9,µg/m³
+Paris,FR,2019-04-22 13:00:00+00:00,FR04014,no2,15.9,µg/m³
+Paris,FR,2019-04-22 12:00:00+00:00,FR04014,no2,18.2,µg/m³
+Paris,FR,2019-04-22 11:00:00+00:00,FR04014,no2,29.2,µg/m³
+Paris,FR,2019-04-22 10:00:00+00:00,FR04014,no2,43.5,µg/m³
+Paris,FR,2019-04-22 09:00:00+00:00,FR04014,no2,44.4,µg/m³
+Paris,FR,2019-04-22 08:00:00+00:00,FR04014,no2,63.7,µg/m³
+Paris,FR,2019-04-22 07:00:00+00:00,FR04014,no2,51.4,µg/m³
+Paris,FR,2019-04-22 06:00:00+00:00,FR04014,no2,65.7,µg/m³
+Paris,FR,2019-04-22 05:00:00+00:00,FR04014,no2,69.8,µg/m³
+Paris,FR,2019-04-22 04:00:00+00:00,FR04014,no2,80.2,µg/m³
+Paris,FR,2019-04-22 03:00:00+00:00,FR04014,no2,87.9,µg/m³
+Paris,FR,2019-04-22 02:00:00+00:00,FR04014,no2,88.7,µg/m³
+Paris,FR,2019-04-22 01:00:00+00:00,FR04014,no2,99.0,µg/m³
+Paris,FR,2019-04-22 00:00:00+00:00,FR04014,no2,116.4,µg/m³
+Paris,FR,2019-04-21 23:00:00+00:00,FR04014,no2,105.2,µg/m³
+Paris,FR,2019-04-21 22:00:00+00:00,FR04014,no2,117.2,µg/m³
+Paris,FR,2019-04-21 21:00:00+00:00,FR04014,no2,101.1,µg/m³
+Paris,FR,2019-04-21 20:00:00+00:00,FR04014,no2,75.6,µg/m³
+Paris,FR,2019-04-21 19:00:00+00:00,FR04014,no2,45.6,µg/m³
+Paris,FR,2019-04-21 18:00:00+00:00,FR04014,no2,20.8,µg/m³
+Paris,FR,2019-04-21 17:00:00+00:00,FR04014,no2,15.6,µg/m³
+Paris,FR,2019-04-21 16:00:00+00:00,FR04014,no2,15.4,µg/m³
+Paris,FR,2019-04-21 15:00:00+00:00,FR04014,no2,9.4,µg/m³
+Paris,FR,2019-04-21 14:00:00+00:00,FR04014,no2,9.3,µg/m³
+Paris,FR,2019-04-21 13:00:00+00:00,FR04014,no2,9.8,µg/m³
+Paris,FR,2019-04-21 12:00:00+00:00,FR04014,no2,12.1,µg/m³
+Paris,FR,2019-04-21 11:00:00+00:00,FR04014,no2,15.7,µg/m³
+Paris,FR,2019-04-21 10:00:00+00:00,FR04014,no2,15.6,µg/m³
+Paris,FR,2019-04-21 09:00:00+00:00,FR04014,no2,21.5,µg/m³
+Paris,FR,2019-04-21 08:00:00+00:00,FR04014,no2,39.3,µg/m³
+Paris,FR,2019-04-21 07:00:00+00:00,FR04014,no2,33.8,µg/m³
+Paris,FR,2019-04-21 06:00:00+00:00,FR04014,no2,34.0,µg/m³
+Paris,FR,2019-04-21 05:00:00+00:00,FR04014,no2,28.8,µg/m³
+Paris,FR,2019-04-21 04:00:00+00:00,FR04014,no2,24.9,µg/m³
+Paris,FR,2019-04-21 03:00:00+00:00,FR04014,no2,27.5,µg/m³
+Paris,FR,2019-04-21 02:00:00+00:00,FR04014,no2,28.7,µg/m³
+Paris,FR,2019-04-21 01:00:00+00:00,FR04014,no2,38.2,µg/m³
+Paris,FR,2019-04-21 00:00:00+00:00,FR04014,no2,40.5,µg/m³
+Paris,FR,2019-04-20 23:00:00+00:00,FR04014,no2,49.2,µg/m³
+Paris,FR,2019-04-20 22:00:00+00:00,FR04014,no2,52.8,µg/m³
+Paris,FR,2019-04-20 21:00:00+00:00,FR04014,no2,52.9,µg/m³
+Paris,FR,2019-04-20 20:00:00+00:00,FR04014,no2,39.2,µg/m³
+Paris,FR,2019-04-20 19:00:00+00:00,FR04014,no2,22.9,µg/m³
+Paris,FR,2019-04-20 18:00:00+00:00,FR04014,no2,14.8,µg/m³
+Paris,FR,2019-04-20 17:00:00+00:00,FR04014,no2,16.2,µg/m³
+Paris,FR,2019-04-20 16:00:00+00:00,FR04014,no2,12.7,µg/m³
+Paris,FR,2019-04-20 15:00:00+00:00,FR04014,no2,10.0,µg/m³
+Paris,FR,2019-04-20 14:00:00+00:00,FR04014,no2,9.8,µg/m³
+Paris,FR,2019-04-20 13:00:00+00:00,FR04014,no2,10.4,µg/m³
+Paris,FR,2019-04-20 12:00:00+00:00,FR04014,no2,14.6,µg/m³
+Paris,FR,2019-04-20 11:00:00+00:00,FR04014,no2,28.6,µg/m³
+Paris,FR,2019-04-20 10:00:00+00:00,FR04014,no2,39.8,µg/m³
+Paris,FR,2019-04-20 09:00:00+00:00,FR04014,no2,44.0,µg/m³
+Paris,FR,2019-04-20 08:00:00+00:00,FR04014,no2,46.3,µg/m³
+Paris,FR,2019-04-20 07:00:00+00:00,FR04014,no2,64.5,µg/m³
+Paris,FR,2019-04-20 06:00:00+00:00,FR04014,no2,67.1,µg/m³
+Paris,FR,2019-04-20 05:00:00+00:00,FR04014,no2,45.9,µg/m³
+Paris,FR,2019-04-20 04:00:00+00:00,FR04014,no2,31.5,µg/m³
+Paris,FR,2019-04-20 03:00:00+00:00,FR04014,no2,17.2,µg/m³
+Paris,FR,2019-04-20 02:00:00+00:00,FR04014,no2,12.7,µg/m³
+Paris,FR,2019-04-20 01:00:00+00:00,FR04014,no2,14.5,µg/m³
+Paris,FR,2019-04-20 00:00:00+00:00,FR04014,no2,21.0,µg/m³
+Paris,FR,2019-04-19 23:00:00+00:00,FR04014,no2,70.2,µg/m³
+Paris,FR,2019-04-19 22:00:00+00:00,FR04014,no2,90.4,µg/m³
+Paris,FR,2019-04-19 21:00:00+00:00,FR04014,no2,96.9,µg/m³
+Paris,FR,2019-04-19 20:00:00+00:00,FR04014,no2,78.4,µg/m³
+Paris,FR,2019-04-19 19:00:00+00:00,FR04014,no2,34.1,µg/m³
+Paris,FR,2019-04-19 18:00:00+00:00,FR04014,no2,20.2,µg/m³
+Paris,FR,2019-04-19 17:00:00+00:00,FR04014,no2,15.4,µg/m³
+Paris,FR,2019-04-19 16:00:00+00:00,FR04014,no2,14.6,µg/m³
+Paris,FR,2019-04-19 15:00:00+00:00,FR04014,no2,13.4,µg/m³
+Paris,FR,2019-04-19 14:00:00+00:00,FR04014,no2,14.6,µg/m³
+Paris,FR,2019-04-19 13:00:00+00:00,FR04014,no2,17.2,µg/m³
+Paris,FR,2019-04-19 12:00:00+00:00,FR04014,no2,19.8,µg/m³
+Paris,FR,2019-04-19 11:00:00+00:00,FR04014,no2,32.1,µg/m³
+Paris,FR,2019-04-19 10:00:00+00:00,FR04014,no2,51.3,µg/m³
+Paris,FR,2019-04-19 09:00:00+00:00,FR04014,no2,56.3,µg/m³
+Paris,FR,2019-04-19 08:00:00+00:00,FR04014,no2,61.4,µg/m³
+Paris,FR,2019-04-19 07:00:00+00:00,FR04014,no2,86.5,µg/m³
+Paris,FR,2019-04-19 06:00:00+00:00,FR04014,no2,89.3,µg/m³
+Paris,FR,2019-04-19 05:00:00+00:00,FR04014,no2,58.1,µg/m³
+Paris,FR,2019-04-19 04:00:00+00:00,FR04014,no2,31.7,µg/m³
+Paris,FR,2019-04-19 03:00:00+00:00,FR04014,no2,26.7,µg/m³
+Paris,FR,2019-04-19 02:00:00+00:00,FR04014,no2,21.8,µg/m³
+Paris,FR,2019-04-19 01:00:00+00:00,FR04014,no2,17.1,µg/m³
+Paris,FR,2019-04-19 00:00:00+00:00,FR04014,no2,24.3,µg/m³
+Paris,FR,2019-04-18 23:00:00+00:00,FR04014,no2,34.5,µg/m³
+Paris,FR,2019-04-18 22:00:00+00:00,FR04014,no2,41.2,µg/m³
+Paris,FR,2019-04-18 21:00:00+00:00,FR04014,no2,52.7,µg/m³
+Paris,FR,2019-04-18 20:00:00+00:00,FR04014,no2,43.8,µg/m³
+Paris,FR,2019-04-18 19:00:00+00:00,FR04014,no2,29.3,µg/m³
+Paris,FR,2019-04-18 18:00:00+00:00,FR04014,no2,20.8,µg/m³
+Paris,FR,2019-04-18 17:00:00+00:00,FR04014,no2,16.0,µg/m³
+Paris,FR,2019-04-18 16:00:00+00:00,FR04014,no2,14.2,µg/m³
+Paris,FR,2019-04-18 15:00:00+00:00,FR04014,no2,11.4,µg/m³
+Paris,FR,2019-04-18 14:00:00+00:00,FR04014,no2,12.1,µg/m³
+Paris,FR,2019-04-18 13:00:00+00:00,FR04014,no2,11.3,µg/m³
+Paris,FR,2019-04-18 12:00:00+00:00,FR04014,no2,12.7,µg/m³
+Paris,FR,2019-04-18 11:00:00+00:00,FR04014,no2,15.1,µg/m³
+Paris,FR,2019-04-18 10:00:00+00:00,FR04014,no2,21.9,µg/m³
+Paris,FR,2019-04-18 09:00:00+00:00,FR04014,no2,33.9,µg/m³
+Paris,FR,2019-04-18 08:00:00+00:00,FR04014,no2,41.9,µg/m³
+Paris,FR,2019-04-18 07:00:00+00:00,FR04014,no2,43.8,µg/m³
+Paris,FR,2019-04-18 06:00:00+00:00,FR04014,no2,47.2,µg/m³
+Paris,FR,2019-04-18 05:00:00+00:00,FR04014,no2,39.8,µg/m³
+Paris,FR,2019-04-18 04:00:00+00:00,FR04014,no2,21.8,µg/m³
+Paris,FR,2019-04-18 03:00:00+00:00,FR04014,no2,17.6,µg/m³
+Paris,FR,2019-04-18 02:00:00+00:00,FR04014,no2,16.4,µg/m³
+Paris,FR,2019-04-18 01:00:00+00:00,FR04014,no2,18.9,µg/m³
+Paris,FR,2019-04-18 00:00:00+00:00,FR04014,no2,21.6,µg/m³
+Paris,FR,2019-04-17 23:00:00+00:00,FR04014,no2,19.5,µg/m³
+Paris,FR,2019-04-17 22:00:00+00:00,FR04014,no2,24.7,µg/m³
+Paris,FR,2019-04-17 21:00:00+00:00,FR04014,no2,37.3,µg/m³
+Paris,FR,2019-04-17 20:00:00+00:00,FR04014,no2,41.2,µg/m³
+Paris,FR,2019-04-17 19:00:00+00:00,FR04014,no2,25.3,µg/m³
+Paris,FR,2019-04-17 18:00:00+00:00,FR04014,no2,17.4,µg/m³
+Paris,FR,2019-04-17 17:00:00+00:00,FR04014,no2,15.3,µg/m³
+Paris,FR,2019-04-17 16:00:00+00:00,FR04014,no2,13.8,µg/m³
+Paris,FR,2019-04-17 15:00:00+00:00,FR04014,no2,12.1,µg/m³
+Paris,FR,2019-04-17 14:00:00+00:00,FR04014,no2,13.2,µg/m³
+Paris,FR,2019-04-17 13:00:00+00:00,FR04014,no2,11.9,µg/m³
+Paris,FR,2019-04-17 12:00:00+00:00,FR04014,no2,15.8,µg/m³
+Paris,FR,2019-04-17 11:00:00+00:00,FR04014,no2,23.6,µg/m³
+Paris,FR,2019-04-17 10:00:00+00:00,FR04014,no2,46.9,µg/m³
+Paris,FR,2019-04-17 09:00:00+00:00,FR04014,no2,69.3,µg/m³
+Paris,FR,2019-04-17 08:00:00+00:00,FR04014,no2,72.7,µg/m³
+Paris,FR,2019-04-17 07:00:00+00:00,FR04014,no2,70.4,µg/m³
+Paris,FR,2019-04-17 06:00:00+00:00,FR04014,no2,72.9,µg/m³
+Paris,FR,2019-04-17 05:00:00+00:00,FR04014,no2,67.3,µg/m³
+Paris,FR,2019-04-17 04:00:00+00:00,FR04014,no2,65.5,µg/m³
+Paris,FR,2019-04-17 03:00:00+00:00,FR04014,no2,62.5,µg/m³
+Paris,FR,2019-04-17 02:00:00+00:00,FR04014,no2,47.0,µg/m³
+Paris,FR,2019-04-17 01:00:00+00:00,FR04014,no2,30.7,µg/m³
+Paris,FR,2019-04-17 00:00:00+00:00,FR04014,no2,27.3,µg/m³
+Paris,FR,2019-04-16 23:00:00+00:00,FR04014,no2,34.4,µg/m³
+Paris,FR,2019-04-16 22:00:00+00:00,FR04014,no2,30.9,µg/m³
+Paris,FR,2019-04-16 21:00:00+00:00,FR04014,no2,31.7,µg/m³
+Paris,FR,2019-04-16 20:00:00+00:00,FR04014,no2,28.3,µg/m³
+Paris,FR,2019-04-16 19:00:00+00:00,FR04014,no2,34.5,µg/m³
+Paris,FR,2019-04-16 18:00:00+00:00,FR04014,no2,39.4,µg/m³
+Paris,FR,2019-04-16 17:00:00+00:00,FR04014,no2,44.0,µg/m³
+Paris,FR,2019-04-16 16:00:00+00:00,FR04014,no2,38.1,µg/m³
+Paris,FR,2019-04-16 15:00:00+00:00,FR04014,no2,0.0,µg/m³
+Paris,FR,2019-04-16 14:00:00+00:00,FR04014,no2,0.0,µg/m³
+Paris,FR,2019-04-16 13:00:00+00:00,FR04014,no2,36.3,µg/m³
+Paris,FR,2019-04-16 12:00:00+00:00,FR04014,no2,40.8,µg/m³
+Paris,FR,2019-04-16 11:00:00+00:00,FR04014,no2,38.8,µg/m³
+Paris,FR,2019-04-16 10:00:00+00:00,FR04014,no2,47.1,µg/m³
+Paris,FR,2019-04-16 09:00:00+00:00,FR04014,no2,57.5,µg/m³
+Paris,FR,2019-04-16 08:00:00+00:00,FR04014,no2,58.8,µg/m³
+Paris,FR,2019-04-16 07:00:00+00:00,FR04014,no2,72.0,µg/m³
+Paris,FR,2019-04-16 06:00:00+00:00,FR04014,no2,79.0,µg/m³
+Paris,FR,2019-04-16 05:00:00+00:00,FR04014,no2,76.9,µg/m³
+Paris,FR,2019-04-16 04:00:00+00:00,FR04014,no2,60.1,µg/m³
+Paris,FR,2019-04-16 03:00:00+00:00,FR04014,no2,34.6,µg/m³
+Paris,FR,2019-04-16 02:00:00+00:00,FR04014,no2,34.2,µg/m³
+Paris,FR,2019-04-16 01:00:00+00:00,FR04014,no2,36.8,µg/m³
+Paris,FR,2019-04-16 00:00:00+00:00,FR04014,no2,29.7,µg/m³
+Paris,FR,2019-04-15 23:00:00+00:00,FR04014,no2,26.9,µg/m³
+Paris,FR,2019-04-15 22:00:00+00:00,FR04014,no2,29.9,µg/m³
+Paris,FR,2019-04-15 21:00:00+00:00,FR04014,no2,33.5,µg/m³
+Paris,FR,2019-04-15 20:00:00+00:00,FR04014,no2,40.9,µg/m³
+Paris,FR,2019-04-15 19:00:00+00:00,FR04014,no2,32.4,µg/m³
+Paris,FR,2019-04-15 18:00:00+00:00,FR04014,no2,21.4,µg/m³
+Paris,FR,2019-04-15 17:00:00+00:00,FR04014,no2,15.5,µg/m³
+Paris,FR,2019-04-15 16:00:00+00:00,FR04014,no2,14.3,µg/m³
+Paris,FR,2019-04-15 15:00:00+00:00,FR04014,no2,13.4,µg/m³
+Paris,FR,2019-04-15 14:00:00+00:00,FR04014,no2,12.8,µg/m³
+Paris,FR,2019-04-15 13:00:00+00:00,FR04014,no2,13.1,µg/m³
+Paris,FR,2019-04-15 12:00:00+00:00,FR04014,no2,13.4,µg/m³
+Paris,FR,2019-04-15 11:00:00+00:00,FR04014,no2,13.6,µg/m³
+Paris,FR,2019-04-15 10:00:00+00:00,FR04014,no2,17.4,µg/m³
+Paris,FR,2019-04-15 09:00:00+00:00,FR04014,no2,28.0,µg/m³
+Paris,FR,2019-04-15 08:00:00+00:00,FR04014,no2,53.9,µg/m³
+Paris,FR,2019-04-15 07:00:00+00:00,FR04014,no2,61.2,µg/m³
+Paris,FR,2019-04-15 06:00:00+00:00,FR04014,no2,67.3,µg/m³
+Paris,FR,2019-04-15 05:00:00+00:00,FR04014,no2,52.9,µg/m³
+Paris,FR,2019-04-15 04:00:00+00:00,FR04014,no2,33.2,µg/m³
+Paris,FR,2019-04-15 03:00:00+00:00,FR04014,no2,27.9,µg/m³
+Paris,FR,2019-04-15 02:00:00+00:00,FR04014,no2,27.5,µg/m³
+Paris,FR,2019-04-15 01:00:00+00:00,FR04014,no2,28.1,µg/m³
+Paris,FR,2019-04-15 00:00:00+00:00,FR04014,no2,29.5,µg/m³
+Paris,FR,2019-04-14 23:00:00+00:00,FR04014,no2,29.6,µg/m³
+Paris,FR,2019-04-14 22:00:00+00:00,FR04014,no2,35.1,µg/m³
+Paris,FR,2019-04-14 21:00:00+00:00,FR04014,no2,34.4,µg/m³
+Paris,FR,2019-04-14 20:00:00+00:00,FR04014,no2,29.7,µg/m³
+Paris,FR,2019-04-14 19:00:00+00:00,FR04014,no2,23.2,µg/m³
+Paris,FR,2019-04-14 18:00:00+00:00,FR04014,no2,21.5,µg/m³
+Paris,FR,2019-04-14 17:00:00+00:00,FR04014,no2,16.1,µg/m³
+Paris,FR,2019-04-14 16:00:00+00:00,FR04014,no2,14.9,µg/m³
+Paris,FR,2019-04-14 15:00:00+00:00,FR04014,no2,14.2,µg/m³
+Paris,FR,2019-04-14 14:00:00+00:00,FR04014,no2,15.1,µg/m³
+Paris,FR,2019-04-14 13:00:00+00:00,FR04014,no2,15.4,µg/m³
+Paris,FR,2019-04-14 12:00:00+00:00,FR04014,no2,17.5,µg/m³
+Paris,FR,2019-04-14 11:00:00+00:00,FR04014,no2,19.7,µg/m³
+Paris,FR,2019-04-14 10:00:00+00:00,FR04014,no2,17.3,µg/m³
+Paris,FR,2019-04-14 09:00:00+00:00,FR04014,no2,33.9,µg/m³
+Paris,FR,2019-04-14 08:00:00+00:00,FR04014,no2,38.3,µg/m³
+Paris,FR,2019-04-14 07:00:00+00:00,FR04014,no2,34.1,µg/m³
+Paris,FR,2019-04-14 06:00:00+00:00,FR04014,no2,33.6,µg/m³
+Paris,FR,2019-04-14 05:00:00+00:00,FR04014,no2,30.6,µg/m³
+Paris,FR,2019-04-14 04:00:00+00:00,FR04014,no2,29.0,µg/m³
+Paris,FR,2019-04-14 03:00:00+00:00,FR04014,no2,33.3,µg/m³
+Paris,FR,2019-04-14 02:00:00+00:00,FR04014,no2,36.8,µg/m³
+Paris,FR,2019-04-14 01:00:00+00:00,FR04014,no2,37.9,µg/m³
+Paris,FR,2019-04-14 00:00:00+00:00,FR04014,no2,41.1,µg/m³
+Paris,FR,2019-04-13 23:00:00+00:00,FR04014,no2,47.8,µg/m³
+Paris,FR,2019-04-13 22:00:00+00:00,FR04014,no2,47.0,µg/m³
+Paris,FR,2019-04-13 21:00:00+00:00,FR04014,no2,43.8,µg/m³
+Paris,FR,2019-04-13 20:00:00+00:00,FR04014,no2,38.4,µg/m³
+Paris,FR,2019-04-13 19:00:00+00:00,FR04014,no2,29.2,µg/m³
+Paris,FR,2019-04-13 18:00:00+00:00,FR04014,no2,21.1,µg/m³
+Paris,FR,2019-04-13 17:00:00+00:00,FR04014,no2,17.3,µg/m³
+Paris,FR,2019-04-13 16:00:00+00:00,FR04014,no2,16.2,µg/m³
+Paris,FR,2019-04-13 15:00:00+00:00,FR04014,no2,17.4,µg/m³
+Paris,FR,2019-04-13 14:00:00+00:00,FR04014,no2,16.3,µg/m³
+Paris,FR,2019-04-13 13:00:00+00:00,FR04014,no2,15.2,µg/m³
+Paris,FR,2019-04-13 12:00:00+00:00,FR04014,no2,15.4,µg/m³
+Paris,FR,2019-04-13 11:00:00+00:00,FR04014,no2,16.4,µg/m³
+Paris,FR,2019-04-13 10:00:00+00:00,FR04014,no2,18.3,µg/m³
+Paris,FR,2019-04-13 09:00:00+00:00,FR04014,no2,24.9,µg/m³
+Paris,FR,2019-04-13 08:00:00+00:00,FR04014,no2,35.2,µg/m³
+Paris,FR,2019-04-13 07:00:00+00:00,FR04014,no2,38.2,µg/m³
+Paris,FR,2019-04-13 06:00:00+00:00,FR04014,no2,44.3,µg/m³
+Paris,FR,2019-04-13 05:00:00+00:00,FR04014,no2,38.7,µg/m³
+Paris,FR,2019-04-13 04:00:00+00:00,FR04014,no2,31.9,µg/m³
+Paris,FR,2019-04-13 03:00:00+00:00,FR04014,no2,35.2,µg/m³
+Paris,FR,2019-04-13 02:00:00+00:00,FR04014,no2,38.9,µg/m³
+Paris,FR,2019-04-13 01:00:00+00:00,FR04014,no2,38.9,µg/m³
+Paris,FR,2019-04-13 00:00:00+00:00,FR04014,no2,46.5,µg/m³
+Paris,FR,2019-04-12 23:00:00+00:00,FR04014,no2,40.0,µg/m³
+Paris,FR,2019-04-12 22:00:00+00:00,FR04014,no2,42.4,µg/m³
+Paris,FR,2019-04-12 21:00:00+00:00,FR04014,no2,41.6,µg/m³
+Paris,FR,2019-04-12 20:00:00+00:00,FR04014,no2,32.8,µg/m³
+Paris,FR,2019-04-12 19:00:00+00:00,FR04014,no2,29.2,µg/m³
+Paris,FR,2019-04-12 18:00:00+00:00,FR04014,no2,26.2,µg/m³
+Paris,FR,2019-04-12 17:00:00+00:00,FR04014,no2,25.9,µg/m³
+Paris,FR,2019-04-12 16:00:00+00:00,FR04014,no2,24.1,µg/m³
+Paris,FR,2019-04-12 15:00:00+00:00,FR04014,no2,21.9,µg/m³
+Paris,FR,2019-04-12 14:00:00+00:00,FR04014,no2,21.8,µg/m³
+Paris,FR,2019-04-12 13:00:00+00:00,FR04014,no2,21.8,µg/m³
+Paris,FR,2019-04-12 12:00:00+00:00,FR04014,no2,18.6,µg/m³
+Paris,FR,2019-04-12 11:00:00+00:00,FR04014,no2,17.3,µg/m³
+Paris,FR,2019-04-12 10:00:00+00:00,FR04014,no2,22.1,µg/m³
+Paris,FR,2019-04-12 09:00:00+00:00,FR04014,no2,36.5,µg/m³
+Paris,FR,2019-04-12 08:00:00+00:00,FR04014,no2,44.3,µg/m³
+Paris,FR,2019-04-12 07:00:00+00:00,FR04014,no2,48.3,µg/m³
+Paris,FR,2019-04-12 06:00:00+00:00,FR04014,no2,52.6,µg/m³
+Paris,FR,2019-04-12 05:00:00+00:00,FR04014,no2,39.0,µg/m³
+Paris,FR,2019-04-12 04:00:00+00:00,FR04014,no2,28.9,µg/m³
+Paris,FR,2019-04-12 03:00:00+00:00,FR04014,no2,23.2,µg/m³
+Paris,FR,2019-04-12 02:00:00+00:00,FR04014,no2,22.1,µg/m³
+Paris,FR,2019-04-12 01:00:00+00:00,FR04014,no2,22.6,µg/m³
+Paris,FR,2019-04-12 00:00:00+00:00,FR04014,no2,25.7,µg/m³
+Paris,FR,2019-04-11 23:00:00+00:00,FR04014,no2,35.3,µg/m³
+Paris,FR,2019-04-11 22:00:00+00:00,FR04014,no2,42.6,µg/m³
+Paris,FR,2019-04-11 21:00:00+00:00,FR04014,no2,40.7,µg/m³
+Paris,FR,2019-04-11 20:00:00+00:00,FR04014,no2,36.3,µg/m³
+Paris,FR,2019-04-11 19:00:00+00:00,FR04014,no2,31.4,µg/m³
+Paris,FR,2019-04-11 18:00:00+00:00,FR04014,no2,26.8,µg/m³
+Paris,FR,2019-04-11 17:00:00+00:00,FR04014,no2,20.9,µg/m³
+Paris,FR,2019-04-11 16:00:00+00:00,FR04014,no2,21.0,µg/m³
+Paris,FR,2019-04-11 15:00:00+00:00,FR04014,no2,17.8,µg/m³
+Paris,FR,2019-04-11 14:00:00+00:00,FR04014,no2,19.5,µg/m³
+Paris,FR,2019-04-11 13:00:00+00:00,FR04014,no2,18.8,µg/m³
+Paris,FR,2019-04-11 12:00:00+00:00,FR04014,no2,18.2,µg/m³
+Paris,FR,2019-04-11 11:00:00+00:00,FR04014,no2,25.4,µg/m³
+Paris,FR,2019-04-11 10:00:00+00:00,FR04014,no2,31.7,µg/m³
+Paris,FR,2019-04-11 09:00:00+00:00,FR04014,no2,37.8,µg/m³
+Paris,FR,2019-04-11 08:00:00+00:00,FR04014,no2,43.2,µg/m³
+Paris,FR,2019-04-11 07:00:00+00:00,FR04014,no2,44.3,µg/m³
+Paris,FR,2019-04-11 06:00:00+00:00,FR04014,no2,45.7,µg/m³
+Paris,FR,2019-04-11 05:00:00+00:00,FR04014,no2,35.1,µg/m³
+Paris,FR,2019-04-11 04:00:00+00:00,FR04014,no2,25.8,µg/m³
+Paris,FR,2019-04-11 03:00:00+00:00,FR04014,no2,23.6,µg/m³
+Paris,FR,2019-04-11 02:00:00+00:00,FR04014,no2,24.3,µg/m³
+Paris,FR,2019-04-11 01:00:00+00:00,FR04014,no2,25.3,µg/m³
+Paris,FR,2019-04-11 00:00:00+00:00,FR04014,no2,27.4,µg/m³
+Paris,FR,2019-04-10 23:00:00+00:00,FR04014,no2,31.3,µg/m³
+Paris,FR,2019-04-10 22:00:00+00:00,FR04014,no2,33.7,µg/m³
+Paris,FR,2019-04-10 21:00:00+00:00,FR04014,no2,35.1,µg/m³
+Paris,FR,2019-04-10 20:00:00+00:00,FR04014,no2,33.8,µg/m³
+Paris,FR,2019-04-10 19:00:00+00:00,FR04014,no2,38.1,µg/m³
+Paris,FR,2019-04-10 18:00:00+00:00,FR04014,no2,47.0,µg/m³
+Paris,FR,2019-04-10 17:00:00+00:00,FR04014,no2,46.0,µg/m³
+Paris,FR,2019-04-10 16:00:00+00:00,FR04014,no2,36.2,µg/m³
+Paris,FR,2019-04-10 15:00:00+00:00,FR04014,no2,32.3,µg/m³
+Paris,FR,2019-04-10 14:00:00+00:00,FR04014,no2,26.2,µg/m³
+Paris,FR,2019-04-10 13:00:00+00:00,FR04014,no2,27.5,µg/m³
+Paris,FR,2019-04-10 12:00:00+00:00,FR04014,no2,31.8,µg/m³
+Paris,FR,2019-04-10 11:00:00+00:00,FR04014,no2,34.4,µg/m³
+Paris,FR,2019-04-10 10:00:00+00:00,FR04014,no2,36.9,µg/m³
+Paris,FR,2019-04-10 09:00:00+00:00,FR04014,no2,41.1,µg/m³
+Paris,FR,2019-04-10 08:00:00+00:00,FR04014,no2,45.2,µg/m³
+Paris,FR,2019-04-10 07:00:00+00:00,FR04014,no2,48.5,µg/m³
+Paris,FR,2019-04-10 06:00:00+00:00,FR04014,no2,40.6,µg/m³
+Paris,FR,2019-04-10 05:00:00+00:00,FR04014,no2,26.2,µg/m³
+Paris,FR,2019-04-10 04:00:00+00:00,FR04014,no2,18.0,µg/m³
+Paris,FR,2019-04-10 03:00:00+00:00,FR04014,no2,14.9,µg/m³
+Paris,FR,2019-04-10 02:00:00+00:00,FR04014,no2,18.6,µg/m³
+Paris,FR,2019-04-10 01:00:00+00:00,FR04014,no2,26.1,µg/m³
+Paris,FR,2019-04-10 00:00:00+00:00,FR04014,no2,26.7,µg/m³
+Paris,FR,2019-04-09 23:00:00+00:00,FR04014,no2,29.2,µg/m³
+Paris,FR,2019-04-09 22:00:00+00:00,FR04014,no2,32.7,µg/m³
+Paris,FR,2019-04-09 21:00:00+00:00,FR04014,no2,36.9,µg/m³
+Paris,FR,2019-04-09 20:00:00+00:00,FR04014,no2,39.9,µg/m³
+Paris,FR,2019-04-09 19:00:00+00:00,FR04014,no2,48.7,µg/m³
+Paris,FR,2019-04-09 18:00:00+00:00,FR04014,no2,38.6,µg/m³
+Paris,FR,2019-04-09 17:00:00+00:00,FR04014,no2,31.2,µg/m³
+Paris,FR,2019-04-09 16:00:00+00:00,FR04014,no2,25.2,µg/m³
+Paris,FR,2019-04-09 15:00:00+00:00,FR04014,no2,24.2,µg/m³
+Paris,FR,2019-04-09 14:00:00+00:00,FR04014,no2,25.6,µg/m³
+Paris,FR,2019-04-09 13:00:00+00:00,FR04014,no2,25.2,µg/m³
+Paris,FR,2019-04-09 12:00:00+00:00,FR04014,no2,30.6,µg/m³
+Paris,FR,2019-04-09 11:00:00+00:00,FR04014,no2,37.8,µg/m³
+Paris,FR,2019-04-09 10:00:00+00:00,FR04014,no2,67.1,µg/m³
+Paris,FR,2019-04-09 09:00:00+00:00,FR04014,no2,66.5,µg/m³
+Paris,FR,2019-04-09 08:00:00+00:00,FR04014,no2,69.5,µg/m³
+Paris,FR,2019-04-09 07:00:00+00:00,FR04014,no2,68.0,µg/m³
+Paris,FR,2019-04-09 06:00:00+00:00,FR04014,no2,66.9,µg/m³
+Paris,FR,2019-04-09 05:00:00+00:00,FR04014,no2,59.5,µg/m³
+Paris,FR,2019-04-09 04:00:00+00:00,FR04014,no2,48.5,µg/m³
+Paris,FR,2019-04-09 03:00:00+00:00,FR04014,no2,34.2,µg/m³
+Paris,FR,2019-04-09 02:00:00+00:00,FR04014,no2,27.4,µg/m³
+Paris,FR,2019-04-09 01:00:00+00:00,FR04014,no2,24.4,µg/m³
+Antwerpen,BE,2019-06-17 08:00:00+00:00,BETR801,no2,41.0,µg/m³
+Antwerpen,BE,2019-06-17 07:00:00+00:00,BETR801,no2,45.0,µg/m³
+Antwerpen,BE,2019-06-17 06:00:00+00:00,BETR801,no2,43.5,µg/m³
+Antwerpen,BE,2019-06-17 05:00:00+00:00,BETR801,no2,42.5,µg/m³
+Antwerpen,BE,2019-06-17 04:00:00+00:00,BETR801,no2,39.5,µg/m³
+Antwerpen,BE,2019-06-17 03:00:00+00:00,BETR801,no2,36.0,µg/m³
+Antwerpen,BE,2019-06-17 02:00:00+00:00,BETR801,no2,35.5,µg/m³
+Antwerpen,BE,2019-06-17 01:00:00+00:00,BETR801,no2,42.0,µg/m³
+Antwerpen,BE,2019-06-16 01:00:00+00:00,BETR801,no2,42.5,µg/m³
+Antwerpen,BE,2019-06-15 01:00:00+00:00,BETR801,no2,17.5,µg/m³
+Antwerpen,BE,2019-06-14 09:00:00+00:00,BETR801,no2,36.5,µg/m³
+Antwerpen,BE,2019-06-13 01:00:00+00:00,BETR801,no2,28.5,µg/m³
+Antwerpen,BE,2019-06-12 01:00:00+00:00,BETR801,no2,21.0,µg/m³
+Antwerpen,BE,2019-06-11 01:00:00+00:00,BETR801,no2,7.5,µg/m³
+Antwerpen,BE,2019-06-10 01:00:00+00:00,BETR801,no2,18.5,µg/m³
+Antwerpen,BE,2019-06-09 01:00:00+00:00,BETR801,no2,10.0,µg/m³
+Antwerpen,BE,2019-06-05 01:00:00+00:00,BETR801,no2,15.0,µg/m³
+Antwerpen,BE,2019-06-01 01:00:00+00:00,BETR801,no2,52.5,µg/m³
+Antwerpen,BE,2019-05-31 01:00:00+00:00,BETR801,no2,9.0,µg/m³
+Antwerpen,BE,2019-05-30 01:00:00+00:00,BETR801,no2,7.5,µg/m³
+Antwerpen,BE,2019-05-29 01:00:00+00:00,BETR801,no2,21.0,µg/m³
+Antwerpen,BE,2019-05-28 01:00:00+00:00,BETR801,no2,11.0,µg/m³
+Antwerpen,BE,2019-05-27 01:00:00+00:00,BETR801,no2,10.5,µg/m³
+Antwerpen,BE,2019-05-26 01:00:00+00:00,BETR801,no2,53.0,µg/m³
+Antwerpen,BE,2019-05-25 01:00:00+00:00,BETR801,no2,29.0,µg/m³
+Antwerpen,BE,2019-05-24 01:00:00+00:00,BETR801,no2,74.5,µg/m³
+Antwerpen,BE,2019-05-23 01:00:00+00:00,BETR801,no2,60.5,µg/m³
+Antwerpen,BE,2019-05-22 01:00:00+00:00,BETR801,no2,20.5,µg/m³
+Antwerpen,BE,2019-05-21 01:00:00+00:00,BETR801,no2,15.5,µg/m³
+Antwerpen,BE,2019-05-20 15:00:00+00:00,BETR801,no2,25.5,µg/m³
+Antwerpen,BE,2019-05-20 14:00:00+00:00,BETR801,no2,24.5,µg/m³
+Antwerpen,BE,2019-05-20 13:00:00+00:00,BETR801,no2,32.0,µg/m³
+Antwerpen,BE,2019-05-20 12:00:00+00:00,BETR801,no2,34.5,µg/m³
+Antwerpen,BE,2019-05-20 11:00:00+00:00,BETR801,no2,25.0,µg/m³
+Antwerpen,BE,2019-05-20 10:00:00+00:00,BETR801,no2,25.0,µg/m³
+Antwerpen,BE,2019-05-20 09:00:00+00:00,BETR801,no2,30.5,µg/m³
+Antwerpen,BE,2019-05-20 08:00:00+00:00,BETR801,no2,40.0,µg/m³
+Antwerpen,BE,2019-05-20 07:00:00+00:00,BETR801,no2,38.0,µg/m³
+Antwerpen,BE,2019-05-20 06:00:00+00:00,BETR801,no2,26.0,µg/m³
+Antwerpen,BE,2019-05-20 05:00:00+00:00,BETR801,no2,20.0,µg/m³
+Antwerpen,BE,2019-05-20 04:00:00+00:00,BETR801,no2,14.0,µg/m³
+Antwerpen,BE,2019-05-20 03:00:00+00:00,BETR801,no2,9.0,µg/m³
+Antwerpen,BE,2019-05-20 02:00:00+00:00,BETR801,no2,10.5,µg/m³
+Antwerpen,BE,2019-05-20 01:00:00+00:00,BETR801,no2,17.0,µg/m³
+Antwerpen,BE,2019-05-20 00:00:00+00:00,BETR801,no2,26.0,µg/m³
+Antwerpen,BE,2019-05-19 23:00:00+00:00,BETR801,no2,16.5,µg/m³
+Antwerpen,BE,2019-05-19 22:00:00+00:00,BETR801,no2,18.5,µg/m³
+Antwerpen,BE,2019-05-19 21:00:00+00:00,BETR801,no2,12.5,µg/m³
+Antwerpen,BE,2019-05-19 20:00:00+00:00,BETR801,no2,15.0,µg/m³
+Antwerpen,BE,2019-05-19 19:00:00+00:00,BETR801,no2,26.0,µg/m³
+Antwerpen,BE,2019-05-19 18:00:00+00:00,BETR801,no2,15.5,µg/m³
+Antwerpen,BE,2019-05-19 17:00:00+00:00,BETR801,no2,18.5,µg/m³
+Antwerpen,BE,2019-05-19 16:00:00+00:00,BETR801,no2,17.5,µg/m³
+Antwerpen,BE,2019-05-19 15:00:00+00:00,BETR801,no2,33.0,µg/m³
+Antwerpen,BE,2019-05-19 14:00:00+00:00,BETR801,no2,23.0,µg/m³
+Antwerpen,BE,2019-05-19 13:00:00+00:00,BETR801,no2,14.5,µg/m³
+Antwerpen,BE,2019-05-19 12:00:00+00:00,BETR801,no2,16.0,µg/m³
+Antwerpen,BE,2019-05-19 11:00:00+00:00,BETR801,no2,17.0,µg/m³
+Antwerpen,BE,2019-05-19 10:00:00+00:00,BETR801,no2,17.5,µg/m³
+Antwerpen,BE,2019-05-19 09:00:00+00:00,BETR801,no2,16.0,µg/m³
+Antwerpen,BE,2019-05-19 08:00:00+00:00,BETR801,no2,23.5,µg/m³
+Antwerpen,BE,2019-05-19 07:00:00+00:00,BETR801,no2,30.0,µg/m³
+Antwerpen,BE,2019-05-19 06:00:00+00:00,BETR801,no2,30.5,µg/m³
+Antwerpen,BE,2019-05-19 05:00:00+00:00,BETR801,no2,26.0,µg/m³
+Antwerpen,BE,2019-05-19 04:00:00+00:00,BETR801,no2,21.0,µg/m³
+Antwerpen,BE,2019-05-19 03:00:00+00:00,BETR801,no2,19.0,µg/m³
+Antwerpen,BE,2019-05-19 02:00:00+00:00,BETR801,no2,19.0,µg/m³
+Antwerpen,BE,2019-05-19 01:00:00+00:00,BETR801,no2,22.5,µg/m³
+Antwerpen,BE,2019-05-19 00:00:00+00:00,BETR801,no2,23.5,µg/m³
+Antwerpen,BE,2019-05-18 23:00:00+00:00,BETR801,no2,29.5,µg/m³
+Antwerpen,BE,2019-05-18 22:00:00+00:00,BETR801,no2,34.5,µg/m³
+Antwerpen,BE,2019-05-18 21:00:00+00:00,BETR801,no2,39.0,µg/m³
+Antwerpen,BE,2019-05-18 20:00:00+00:00,BETR801,no2,40.0,µg/m³
+Antwerpen,BE,2019-05-18 19:00:00+00:00,BETR801,no2,35.5,µg/m³
+Antwerpen,BE,2019-05-18 18:00:00+00:00,BETR801,no2,35.5,µg/m³
+Antwerpen,BE,2019-05-18 01:00:00+00:00,BETR801,no2,41.5,µg/m³
+Antwerpen,BE,2019-05-16 01:00:00+00:00,BETR801,no2,28.0,µg/m³
+Antwerpen,BE,2019-05-15 02:00:00+00:00,BETR801,no2,22.5,µg/m³
+Antwerpen,BE,2019-05-15 01:00:00+00:00,BETR801,no2,25.5,µg/m³
+Antwerpen,BE,2019-05-14 02:00:00+00:00,BETR801,no2,11.5,µg/m³
+Antwerpen,BE,2019-05-14 01:00:00+00:00,BETR801,no2,14.5,µg/m³
+Antwerpen,BE,2019-05-13 02:00:00+00:00,BETR801,no2,14.5,µg/m³
+Antwerpen,BE,2019-05-13 01:00:00+00:00,BETR801,no2,14.5,µg/m³
+Antwerpen,BE,2019-05-12 02:00:00+00:00,BETR801,no2,20.0,µg/m³
+Antwerpen,BE,2019-05-12 01:00:00+00:00,BETR801,no2,17.5,µg/m³
+Antwerpen,BE,2019-05-11 02:00:00+00:00,BETR801,no2,21.0,µg/m³
+Antwerpen,BE,2019-05-11 01:00:00+00:00,BETR801,no2,26.5,µg/m³
+Antwerpen,BE,2019-05-10 02:00:00+00:00,BETR801,no2,11.5,µg/m³
+Antwerpen,BE,2019-05-10 01:00:00+00:00,BETR801,no2,10.5,µg/m³
+Antwerpen,BE,2019-05-09 02:00:00+00:00,BETR801,no2,20.5,µg/m³
+Antwerpen,BE,2019-05-09 01:00:00+00:00,BETR801,no2,20.0,µg/m³
+Antwerpen,BE,2019-05-08 02:00:00+00:00,BETR801,no2,20.5,µg/m³
+Antwerpen,BE,2019-05-08 01:00:00+00:00,BETR801,no2,23.0,µg/m³
+Antwerpen,BE,2019-05-07 02:00:00+00:00,BETR801,no2,45.0,µg/m³
+Antwerpen,BE,2019-05-07 01:00:00+00:00,BETR801,no2,50.5,µg/m³
+Antwerpen,BE,2019-05-06 02:00:00+00:00,BETR801,no2,27.0,µg/m³
+Antwerpen,BE,2019-05-06 01:00:00+00:00,BETR801,no2,30.0,µg/m³
+Antwerpen,BE,2019-05-05 02:00:00+00:00,BETR801,no2,13.0,µg/m³
+Antwerpen,BE,2019-05-05 01:00:00+00:00,BETR801,no2,18.0,µg/m³
+Antwerpen,BE,2019-05-04 02:00:00+00:00,BETR801,no2,9.5,µg/m³
+Antwerpen,BE,2019-05-04 01:00:00+00:00,BETR801,no2,8.5,µg/m³
+Antwerpen,BE,2019-05-03 02:00:00+00:00,BETR801,no2,25.5,µg/m³
+Antwerpen,BE,2019-05-03 01:00:00+00:00,BETR801,no2,14.0,µg/m³
+Antwerpen,BE,2019-05-02 02:00:00+00:00,BETR801,no2,36.5,µg/m³
+Antwerpen,BE,2019-05-02 01:00:00+00:00,BETR801,no2,31.0,µg/m³
+Antwerpen,BE,2019-05-01 02:00:00+00:00,BETR801,no2,12.0,µg/m³
+Antwerpen,BE,2019-05-01 01:00:00+00:00,BETR801,no2,12.5,µg/m³
+Antwerpen,BE,2019-04-30 02:00:00+00:00,BETR801,no2,9.0,µg/m³
+Antwerpen,BE,2019-04-30 01:00:00+00:00,BETR801,no2,15.0,µg/m³
+Antwerpen,BE,2019-04-29 02:00:00+00:00,BETR801,no2,52.5,µg/m³
+Antwerpen,BE,2019-04-29 01:00:00+00:00,BETR801,no2,72.5,µg/m³
+Antwerpen,BE,2019-04-28 02:00:00+00:00,BETR801,no2,10.5,µg/m³
+Antwerpen,BE,2019-04-28 01:00:00+00:00,BETR801,no2,8.5,µg/m³
+Antwerpen,BE,2019-04-27 02:00:00+00:00,BETR801,no2,14.0,µg/m³
+Antwerpen,BE,2019-04-27 01:00:00+00:00,BETR801,no2,22.0,µg/m³
+Antwerpen,BE,2019-04-26 02:00:00+00:00,BETR801,no2,15.0,µg/m³
+Antwerpen,BE,2019-04-26 01:00:00+00:00,BETR801,no2,25.5,µg/m³
+Antwerpen,BE,2019-04-25 02:00:00+00:00,BETR801,no2,12.0,µg/m³
+Antwerpen,BE,2019-04-25 01:00:00+00:00,BETR801,no2,13.0,µg/m³
+Antwerpen,BE,2019-04-22 01:00:00+00:00,BETR801,no2,24.5,µg/m³
+Antwerpen,BE,2019-04-21 02:00:00+00:00,BETR801,no2,15.0,µg/m³
+Antwerpen,BE,2019-04-21 01:00:00+00:00,BETR801,no2,18.0,µg/m³
+Antwerpen,BE,2019-04-19 01:00:00+00:00,BETR801,no2,25.0,µg/m³
+Antwerpen,BE,2019-04-18 02:00:00+00:00,BETR801,no2,35.0,µg/m³
+Antwerpen,BE,2019-04-17 03:00:00+00:00,BETR801,no2,38.5,µg/m³
+Antwerpen,BE,2019-04-17 02:00:00+00:00,BETR801,no2,33.0,µg/m³
+Antwerpen,BE,2019-04-17 01:00:00+00:00,BETR801,no2,33.0,µg/m³
+Antwerpen,BE,2019-04-16 02:00:00+00:00,BETR801,no2,21.5,µg/m³
+Antwerpen,BE,2019-04-16 01:00:00+00:00,BETR801,no2,27.5,µg/m³
+Antwerpen,BE,2019-04-15 15:00:00+00:00,BETR801,no2,32.0,µg/m³
+Antwerpen,BE,2019-04-15 14:00:00+00:00,BETR801,no2,28.0,µg/m³
+Antwerpen,BE,2019-04-15 13:00:00+00:00,BETR801,no2,31.0,µg/m³
+Antwerpen,BE,2019-04-15 12:00:00+00:00,BETR801,no2,29.5,µg/m³
+Antwerpen,BE,2019-04-15 11:00:00+00:00,BETR801,no2,25.0,µg/m³
+Antwerpen,BE,2019-04-15 10:00:00+00:00,BETR801,no2,25.0,µg/m³
+Antwerpen,BE,2019-04-15 09:00:00+00:00,BETR801,no2,29.5,µg/m³
+Antwerpen,BE,2019-04-15 08:00:00+00:00,BETR801,no2,43.5,µg/m³
+Antwerpen,BE,2019-04-15 07:00:00+00:00,BETR801,no2,54.0,µg/m³
+Antwerpen,BE,2019-04-15 06:00:00+00:00,BETR801,no2,64.0,µg/m³
+Antwerpen,BE,2019-04-15 05:00:00+00:00,BETR801,no2,63.0,µg/m³
+Antwerpen,BE,2019-04-15 04:00:00+00:00,BETR801,no2,49.0,µg/m³
+Antwerpen,BE,2019-04-15 03:00:00+00:00,BETR801,no2,36.5,µg/m³
+Antwerpen,BE,2019-04-15 02:00:00+00:00,BETR801,no2,32.0,µg/m³
+Antwerpen,BE,2019-04-15 01:00:00+00:00,BETR801,no2,30.5,µg/m³
+Antwerpen,BE,2019-04-12 02:00:00+00:00,BETR801,no2,22.5,µg/m³
+Antwerpen,BE,2019-04-12 01:00:00+00:00,BETR801,no2,25.0,µg/m³
+Antwerpen,BE,2019-04-11 02:00:00+00:00,BETR801,no2,14.0,µg/m³
+Antwerpen,BE,2019-04-11 01:00:00+00:00,BETR801,no2,13.5,µg/m³
+Antwerpen,BE,2019-04-10 02:00:00+00:00,BETR801,no2,11.5,µg/m³
+Antwerpen,BE,2019-04-10 01:00:00+00:00,BETR801,no2,13.5,µg/m³
+Antwerpen,BE,2019-04-09 13:00:00+00:00,BETR801,no2,27.5,µg/m³
+Antwerpen,BE,2019-04-09 12:00:00+00:00,BETR801,no2,30.0,µg/m³
+Antwerpen,BE,2019-04-09 11:00:00+00:00,BETR801,no2,28.5,µg/m³
+Antwerpen,BE,2019-04-09 10:00:00+00:00,BETR801,no2,33.5,µg/m³
+Antwerpen,BE,2019-04-09 09:00:00+00:00,BETR801,no2,35.0,µg/m³
+Antwerpen,BE,2019-04-09 08:00:00+00:00,BETR801,no2,39.0,µg/m³
+Antwerpen,BE,2019-04-09 07:00:00+00:00,BETR801,no2,38.5,µg/m³
+Antwerpen,BE,2019-04-09 06:00:00+00:00,BETR801,no2,50.0,µg/m³
+Antwerpen,BE,2019-04-09 05:00:00+00:00,BETR801,no2,46.5,µg/m³
+Antwerpen,BE,2019-04-09 04:00:00+00:00,BETR801,no2,34.5,µg/m³
+Antwerpen,BE,2019-04-09 03:00:00+00:00,BETR801,no2,54.5,µg/m³
+Antwerpen,BE,2019-04-09 02:00:00+00:00,BETR801,no2,53.5,µg/m³
+Antwerpen,BE,2019-04-09 01:00:00+00:00,BETR801,no2,22.5,µg/m³
+London,GB,2019-06-17 11:00:00+00:00,London Westminster,no2,11.0,µg/m³
+London,GB,2019-06-17 10:00:00+00:00,London Westminster,no2,11.0,µg/m³
+London,GB,2019-06-17 09:00:00+00:00,London Westminster,no2,11.0,µg/m³
+London,GB,2019-06-17 08:00:00+00:00,London Westminster,no2,13.0,µg/m³
+London,GB,2019-06-17 07:00:00+00:00,London Westminster,no2,13.0,µg/m³
+London,GB,2019-06-17 06:00:00+00:00,London Westminster,no2,12.0,µg/m³
+London,GB,2019-06-17 05:00:00+00:00,London Westminster,no2,11.0,µg/m³
+London,GB,2019-06-17 04:00:00+00:00,London Westminster,no2,11.0,µg/m³
+London,GB,2019-06-17 03:00:00+00:00,London Westminster,no2,14.0,µg/m³
+London,GB,2019-06-17 02:00:00+00:00,London Westminster,no2,14.0,µg/m³
+London,GB,2019-06-17 01:00:00+00:00,London Westminster,no2,17.0,µg/m³
+London,GB,2019-06-17 00:00:00+00:00,London Westminster,no2,17.0,µg/m³
+London,GB,2019-06-16 23:00:00+00:00,London Westminster,no2,23.0,µg/m³
+London,GB,2019-06-16 21:00:00+00:00,London Westminster,no2,25.0,µg/m³
+London,GB,2019-06-16 20:00:00+00:00,London Westminster,no2,27.0,µg/m³
+London,GB,2019-06-16 19:00:00+00:00,London Westminster,no2,28.0,µg/m³
+London,GB,2019-06-16 18:00:00+00:00,London Westminster,no2,28.0,µg/m³
+London,GB,2019-06-16 17:00:00+00:00,London Westminster,no2,29.0,µg/m³
+London,GB,2019-06-16 16:00:00+00:00,London Westminster,no2,29.0,µg/m³
+London,GB,2019-06-16 15:00:00+00:00,London Westminster,no2,26.0,µg/m³
+London,GB,2019-06-16 14:00:00+00:00,London Westminster,no2,23.0,µg/m³
+London,GB,2019-06-16 13:00:00+00:00,London Westminster,no2,16.0,µg/m³
+London,GB,2019-06-16 12:00:00+00:00,London Westminster,no2,10.0,µg/m³
+London,GB,2019-06-16 11:00:00+00:00,London Westminster,no2,6.0,µg/m³
+London,GB,2019-06-16 10:00:00+00:00,London Westminster,no2,6.0,µg/m³
+London,GB,2019-06-16 09:00:00+00:00,London Westminster,no2,5.0,µg/m³
+London,GB,2019-06-16 08:00:00+00:00,London Westminster,no2,4.0,µg/m³
+London,GB,2019-06-16 07:00:00+00:00,London Westminster,no2,5.0,µg/m³
+London,GB,2019-06-16 06:00:00+00:00,London Westminster,no2,8.0,µg/m³
+London,GB,2019-06-16 05:00:00+00:00,London Westminster,no2,10.0,µg/m³
+London,GB,2019-06-16 04:00:00+00:00,London Westminster,no2,10.0,µg/m³
+London,GB,2019-06-16 03:00:00+00:00,London Westminster,no2,12.0,µg/m³
+London,GB,2019-06-16 02:00:00+00:00,London Westminster,no2,12.0,µg/m³
+London,GB,2019-06-16 01:00:00+00:00,London Westminster,no2,15.0,µg/m³
+London,GB,2019-06-16 00:00:00+00:00,London Westminster,no2,15.0,µg/m³
+London,GB,2019-06-15 23:00:00+00:00,London Westminster,no2,19.0,µg/m³
+London,GB,2019-06-15 22:00:00+00:00,London Westminster,no2,19.0,µg/m³
+London,GB,2019-06-15 21:00:00+00:00,London Westminster,no2,20.0,µg/m³
+London,GB,2019-06-15 20:00:00+00:00,London Westminster,no2,21.0,µg/m³
+London,GB,2019-06-15 19:00:00+00:00,London Westminster,no2,22.0,µg/m³
+London,GB,2019-06-15 18:00:00+00:00,London Westminster,no2,22.0,µg/m³
+London,GB,2019-06-15 17:00:00+00:00,London Westminster,no2,20.0,µg/m³
+London,GB,2019-06-15 16:00:00+00:00,London Westminster,no2,18.0,µg/m³
+London,GB,2019-06-15 15:00:00+00:00,London Westminster,no2,18.0,µg/m³
+London,GB,2019-06-15 14:00:00+00:00,London Westminster,no2,17.0,µg/m³
+London,GB,2019-06-15 13:00:00+00:00,London Westminster,no2,18.0,µg/m³
+London,GB,2019-06-15 12:00:00+00:00,London Westminster,no2,13.0,µg/m³
+London,GB,2019-06-15 11:00:00+00:00,London Westminster,no2,14.0,µg/m³
+London,GB,2019-06-15 10:00:00+00:00,London Westminster,no2,12.0,µg/m³
+London,GB,2019-06-15 09:00:00+00:00,London Westminster,no2,8.0,µg/m³
+London,GB,2019-06-15 08:00:00+00:00,London Westminster,no2,8.0,µg/m³
+London,GB,2019-06-15 07:00:00+00:00,London Westminster,no2,13.0,µg/m³
+London,GB,2019-06-15 06:00:00+00:00,London Westminster,no2,13.0,µg/m³
+London,GB,2019-06-15 05:00:00+00:00,London Westminster,no2,10.0,µg/m³
+London,GB,2019-06-15 04:00:00+00:00,London Westminster,no2,10.0,µg/m³
+London,GB,2019-06-15 00:00:00+00:00,London Westminster,no2,26.0,µg/m³
+London,GB,2019-06-14 23:00:00+00:00,London Westminster,no2,26.0,µg/m³
+London,GB,2019-06-14 22:00:00+00:00,London Westminster,no2,26.0,µg/m³
+London,GB,2019-06-14 21:00:00+00:00,London Westminster,no2,25.0,µg/m³
+London,GB,2019-06-14 20:00:00+00:00,London Westminster,no2,26.0,µg/m³
+London,GB,2019-06-14 19:00:00+00:00,London Westminster,no2,26.0,µg/m³
+London,GB,2019-06-14 18:00:00+00:00,London Westminster,no2,27.0,µg/m³
+London,GB,2019-06-14 17:00:00+00:00,London Westminster,no2,26.0,µg/m³
+London,GB,2019-06-14 16:00:00+00:00,London Westminster,no2,25.0,µg/m³
+London,GB,2019-06-14 15:00:00+00:00,London Westminster,no2,25.0,µg/m³
+London,GB,2019-06-14 14:00:00+00:00,London Westminster,no2,22.0,µg/m³
+London,GB,2019-06-14 13:00:00+00:00,London Westminster,no2,16.0,µg/m³
+London,GB,2019-06-14 12:00:00+00:00,London Westminster,no2,15.0,µg/m³
+London,GB,2019-06-14 11:00:00+00:00,London Westminster,no2,13.0,µg/m³
+London,GB,2019-06-14 10:00:00+00:00,London Westminster,no2,13.0,µg/m³
+London,GB,2019-06-14 09:00:00+00:00,London Westminster,no2,14.0,µg/m³
+London,GB,2019-06-14 08:00:00+00:00,London Westminster,no2,11.0,µg/m³
+London,GB,2019-06-14 07:00:00+00:00,London Westminster,no2,11.0,µg/m³
+London,GB,2019-06-14 06:00:00+00:00,London Westminster,no2,13.0,µg/m³
+London,GB,2019-06-14 05:00:00+00:00,London Westminster,no2,6.0,µg/m³
+London,GB,2019-06-14 04:00:00+00:00,London Westminster,no2,6.0,µg/m³
+London,GB,2019-06-14 03:00:00+00:00,London Westminster,no2,8.0,µg/m³
+London,GB,2019-06-14 02:00:00+00:00,London Westminster,no2,8.0,µg/m³
+London,GB,2019-06-14 00:00:00+00:00,London Westminster,no2,13.0,µg/m³
+London,GB,2019-06-13 23:00:00+00:00,London Westminster,no2,15.0,µg/m³
+London,GB,2019-06-13 22:00:00+00:00,London Westminster,no2,15.0,µg/m³
+London,GB,2019-06-13 21:00:00+00:00,London Westminster,no2,15.0,µg/m³
+London,GB,2019-06-13 20:00:00+00:00,London Westminster,no2,14.0,µg/m³
+London,GB,2019-06-13 19:00:00+00:00,London Westminster,no2,13.0,µg/m³
+London,GB,2019-06-13 18:00:00+00:00,London Westminster,no2,14.0,µg/m³
+London,GB,2019-06-13 17:00:00+00:00,London Westminster,no2,15.0,µg/m³
+London,GB,2019-06-13 16:00:00+00:00,London Westminster,no2,11.0,µg/m³
+London,GB,2019-06-13 15:00:00+00:00,London Westminster,no2,13.0,µg/m³
+London,GB,2019-06-13 14:00:00+00:00,London Westminster,no2,15.0,µg/m³
+London,GB,2019-06-13 13:00:00+00:00,London Westminster,no2,16.0,µg/m³
+London,GB,2019-06-13 12:00:00+00:00,London Westminster,no2,19.0,µg/m³
+London,GB,2019-06-13 11:00:00+00:00,London Westminster,no2,19.0,µg/m³
+London,GB,2019-06-13 10:00:00+00:00,London Westminster,no2,18.0,µg/m³
+London,GB,2019-06-13 09:00:00+00:00,London Westminster,no2,16.0,µg/m³
+London,GB,2019-06-13 08:00:00+00:00,London Westminster,no2,19.0,µg/m³
+London,GB,2019-06-13 07:00:00+00:00,London Westminster,no2,21.0,µg/m³
+London,GB,2019-06-13 06:00:00+00:00,London Westminster,no2,19.0,µg/m³
+London,GB,2019-06-13 05:00:00+00:00,London Westminster,no2,16.0,µg/m³
+London,GB,2019-06-13 04:00:00+00:00,London Westminster,no2,16.0,µg/m³
+London,GB,2019-06-13 03:00:00+00:00,London Westminster,no2,26.0,µg/m³
+London,GB,2019-06-13 02:00:00+00:00,London Westminster,no2,26.0,µg/m³
+London,GB,2019-06-13 00:00:00+00:00,London Westminster,no2,29.0,µg/m³
+London,GB,2019-06-12 23:00:00+00:00,London Westminster,no2,35.0,µg/m³
+London,GB,2019-06-12 21:00:00+00:00,London Westminster,no2,43.0,µg/m³
+London,GB,2019-06-12 20:00:00+00:00,London Westminster,no2,41.0,µg/m³
+London,GB,2019-06-12 19:00:00+00:00,London Westminster,no2,33.0,µg/m³
+London,GB,2019-06-12 18:00:00+00:00,London Westminster,no2,45.0,µg/m³
+London,GB,2019-06-12 17:00:00+00:00,London Westminster,no2,43.0,µg/m³
+London,GB,2019-06-12 16:00:00+00:00,London Westminster,no2,45.0,µg/m³
+London,GB,2019-06-12 15:00:00+00:00,London Westminster,no2,42.0,µg/m³
+London,GB,2019-06-12 14:00:00+00:00,London Westminster,no2,35.0,µg/m³
+London,GB,2019-06-12 13:00:00+00:00,London Westminster,no2,33.0,µg/m³
+London,GB,2019-06-12 12:00:00+00:00,London Westminster,no2,33.0,µg/m³
+London,GB,2019-06-12 11:00:00+00:00,London Westminster,no2,35.0,µg/m³
+London,GB,2019-06-12 10:00:00+00:00,London Westminster,no2,25.0,µg/m³
+London,GB,2019-06-12 09:00:00+00:00,London Westminster,no2,22.0,µg/m³
+London,GB,2019-06-12 08:00:00+00:00,London Westminster,no2,20.0,µg/m³
+London,GB,2019-06-12 07:00:00+00:00,London Westminster,no2,17.0,µg/m³
+London,GB,2019-06-12 06:00:00+00:00,London Westminster,no2,12.0,µg/m³
+London,GB,2019-06-12 05:00:00+00:00,London Westminster,no2,9.0,µg/m³
+London,GB,2019-06-12 04:00:00+00:00,London Westminster,no2,9.0,µg/m³
+London,GB,2019-06-12 03:00:00+00:00,London Westminster,no2,11.0,µg/m³
+London,GB,2019-06-12 00:00:00+00:00,London Westminster,no2,15.0,µg/m³
+London,GB,2019-06-11 23:00:00+00:00,London Westminster,no2,20.0,µg/m³
+London,GB,2019-06-11 22:00:00+00:00,London Westminster,no2,20.0,µg/m³
+London,GB,2019-06-11 21:00:00+00:00,London Westminster,no2,22.0,µg/m³
+London,GB,2019-06-11 20:00:00+00:00,London Westminster,no2,22.0,µg/m³
+London,GB,2019-06-11 19:00:00+00:00,London Westminster,no2,30.0,µg/m³
+London,GB,2019-06-11 18:00:00+00:00,London Westminster,no2,31.0,µg/m³
+London,GB,2019-06-11 17:00:00+00:00,London Westminster,no2,30.0,µg/m³
+London,GB,2019-06-11 16:00:00+00:00,London Westminster,no2,31.0,µg/m³
+London,GB,2019-06-11 15:00:00+00:00,London Westminster,no2,31.0,µg/m³
+London,GB,2019-06-11 14:00:00+00:00,London Westminster,no2,35.0,µg/m³
+London,GB,2019-06-11 13:00:00+00:00,London Westminster,no2,26.0,µg/m³
+London,GB,2019-06-11 12:00:00+00:00,London Westminster,no2,23.0,µg/m³
+London,GB,2019-06-11 11:00:00+00:00,London Westminster,no2,22.0,µg/m³
+London,GB,2019-06-11 10:00:00+00:00,London Westminster,no2,22.0,µg/m³
+London,GB,2019-06-11 09:00:00+00:00,London Westminster,no2,23.0,µg/m³
+London,GB,2019-06-11 08:00:00+00:00,London Westminster,no2,21.0,µg/m³
+London,GB,2019-06-11 07:00:00+00:00,London Westminster,no2,18.0,µg/m³
+London,GB,2019-06-11 06:00:00+00:00,London Westminster,no2,17.0,µg/m³
+London,GB,2019-06-11 05:00:00+00:00,London Westminster,no2,13.0,µg/m³
+London,GB,2019-06-11 04:00:00+00:00,London Westminster,no2,13.0,µg/m³
+London,GB,2019-06-11 03:00:00+00:00,London Westminster,no2,16.0,µg/m³
+London,GB,2019-06-11 02:00:00+00:00,London Westminster,no2,16.0,µg/m³
+London,GB,2019-06-11 01:00:00+00:00,London Westminster,no2,15.0,µg/m³
+London,GB,2019-06-11 00:00:00+00:00,London Westminster,no2,15.0,µg/m³
+London,GB,2019-06-10 23:00:00+00:00,London Westminster,no2,23.0,µg/m³
+London,GB,2019-06-10 22:00:00+00:00,London Westminster,no2,23.0,µg/m³
+London,GB,2019-06-10 21:00:00+00:00,London Westminster,no2,24.0,µg/m³
+London,GB,2019-06-10 20:00:00+00:00,London Westminster,no2,26.0,µg/m³
+London,GB,2019-06-10 19:00:00+00:00,London Westminster,no2,25.0,µg/m³
+London,GB,2019-06-10 18:00:00+00:00,London Westminster,no2,26.0,µg/m³
+London,GB,2019-06-10 17:00:00+00:00,London Westminster,no2,28.0,µg/m³
+London,GB,2019-06-10 16:00:00+00:00,London Westminster,no2,31.0,µg/m³
+London,GB,2019-06-10 15:00:00+00:00,London Westminster,no2,40.0,µg/m³
+London,GB,2019-06-10 14:00:00+00:00,London Westminster,no2,40.0,µg/m³
+London,GB,2019-06-10 13:00:00+00:00,London Westminster,no2,51.0,µg/m³
+London,GB,2019-06-10 12:00:00+00:00,London Westminster,no2,45.0,µg/m³
+London,GB,2019-06-10 11:00:00+00:00,London Westminster,no2,41.0,µg/m³
+London,GB,2019-06-10 10:00:00+00:00,London Westminster,no2,45.0,µg/m³
+London,GB,2019-06-10 09:00:00+00:00,London Westminster,no2,34.0,µg/m³
+London,GB,2019-06-10 08:00:00+00:00,London Westminster,no2,27.0,µg/m³
+London,GB,2019-06-10 07:00:00+00:00,London Westminster,no2,22.0,µg/m³
+London,GB,2019-06-10 06:00:00+00:00,London Westminster,no2,24.0,µg/m³
+London,GB,2019-06-10 05:00:00+00:00,London Westminster,no2,24.0,µg/m³
+London,GB,2019-06-10 04:00:00+00:00,London Westminster,no2,24.0,µg/m³
+London,GB,2019-06-10 03:00:00+00:00,London Westminster,no2,25.0,µg/m³
+London,GB,2019-06-10 02:00:00+00:00,London Westminster,no2,25.0,µg/m³
+London,GB,2019-06-10 01:00:00+00:00,London Westminster,no2,21.0,µg/m³
+London,GB,2019-06-10 00:00:00+00:00,London Westminster,no2,21.0,µg/m³
+London,GB,2019-06-09 23:00:00+00:00,London Westminster,no2,24.0,µg/m³
+London,GB,2019-06-09 21:00:00+00:00,London Westminster,no2,22.0,µg/m³
+London,GB,2019-06-09 20:00:00+00:00,London Westminster,no2,21.0,µg/m³
+London,GB,2019-06-09 19:00:00+00:00,London Westminster,no2,21.0,µg/m³
+London,GB,2019-06-09 18:00:00+00:00,London Westminster,no2,20.0,µg/m³
+London,GB,2019-06-09 17:00:00+00:00,London Westminster,no2,26.0,µg/m³
+London,GB,2019-06-09 16:00:00+00:00,London Westminster,no2,24.0,µg/m³
+London,GB,2019-06-09 15:00:00+00:00,London Westminster,no2,19.0,µg/m³
+London,GB,2019-06-09 14:00:00+00:00,London Westminster,no2,17.0,µg/m³
+London,GB,2019-06-09 13:00:00+00:00,London Westminster,no2,13.0,µg/m³
+London,GB,2019-06-09 12:00:00+00:00,London Westminster,no2,8.0,µg/m³
+London,GB,2019-06-09 11:00:00+00:00,London Westminster,no2,5.0,µg/m³
+London,GB,2019-06-09 10:00:00+00:00,London Westminster,no2,2.0,µg/m³
+London,GB,2019-06-09 09:00:00+00:00,London Westminster,no2,0.0,µg/m³
+London,GB,2019-06-09 08:00:00+00:00,London Westminster,no2,0.0,µg/m³
+London,GB,2019-06-09 07:00:00+00:00,London Westminster,no2,1.0,µg/m³
+London,GB,2019-06-09 06:00:00+00:00,London Westminster,no2,5.0,µg/m³
+London,GB,2019-06-09 05:00:00+00:00,London Westminster,no2,1.0,µg/m³
+London,GB,2019-06-09 04:00:00+00:00,London Westminster,no2,1.0,µg/m³
+London,GB,2019-06-09 03:00:00+00:00,London Westminster,no2,7.0,µg/m³
+London,GB,2019-06-09 02:00:00+00:00,London Westminster,no2,7.0,µg/m³
+London,GB,2019-06-09 01:00:00+00:00,London Westminster,no2,10.0,µg/m³
+London,GB,2019-06-09 00:00:00+00:00,London Westminster,no2,10.0,µg/m³
+London,GB,2019-06-08 23:00:00+00:00,London Westminster,no2,20.0,µg/m³
+London,GB,2019-06-08 21:00:00+00:00,London Westminster,no2,16.0,µg/m³
+London,GB,2019-06-08 20:00:00+00:00,London Westminster,no2,17.0,µg/m³
+London,GB,2019-06-08 19:00:00+00:00,London Westminster,no2,19.0,µg/m³
+London,GB,2019-06-08 18:00:00+00:00,London Westminster,no2,20.0,µg/m³
+London,GB,2019-06-08 17:00:00+00:00,London Westminster,no2,20.0,µg/m³
+London,GB,2019-06-08 16:00:00+00:00,London Westminster,no2,19.0,µg/m³
+London,GB,2019-06-08 15:00:00+00:00,London Westminster,no2,17.0,µg/m³
+London,GB,2019-06-08 14:00:00+00:00,London Westminster,no2,13.0,µg/m³
+London,GB,2019-06-08 13:00:00+00:00,London Westminster,no2,10.0,µg/m³
+London,GB,2019-06-08 12:00:00+00:00,London Westminster,no2,8.0,µg/m³
+London,GB,2019-06-08 11:00:00+00:00,London Westminster,no2,4.0,µg/m³
+London,GB,2019-06-08 10:00:00+00:00,London Westminster,no2,3.0,µg/m³
+London,GB,2019-06-08 09:00:00+00:00,London Westminster,no2,2.0,µg/m³
+London,GB,2019-06-08 08:00:00+00:00,London Westminster,no2,4.0,µg/m³
+London,GB,2019-06-08 07:00:00+00:00,London Westminster,no2,3.0,µg/m³
+London,GB,2019-06-08 06:00:00+00:00,London Westminster,no2,2.0,µg/m³
+London,GB,2019-06-08 05:00:00+00:00,London Westminster,no2,3.0,µg/m³
+London,GB,2019-06-08 04:00:00+00:00,London Westminster,no2,3.0,µg/m³
+London,GB,2019-06-08 03:00:00+00:00,London Westminster,no2,7.0,µg/m³
+London,GB,2019-06-08 02:00:00+00:00,London Westminster,no2,7.0,µg/m³
+London,GB,2019-06-08 00:00:00+00:00,London Westminster,no2,28.0,µg/m³
+London,GB,2019-06-07 23:00:00+00:00,London Westminster,no2,33.0,µg/m³
+London,GB,2019-06-07 21:00:00+00:00,London Westminster,no2,35.0,µg/m³
+London,GB,2019-06-07 20:00:00+00:00,London Westminster,no2,36.0,µg/m³
+London,GB,2019-06-07 19:00:00+00:00,London Westminster,no2,35.0,µg/m³
+London,GB,2019-06-07 18:00:00+00:00,London Westminster,no2,27.0,µg/m³
+London,GB,2019-06-07 17:00:00+00:00,London Westminster,no2,24.0,µg/m³
+London,GB,2019-06-07 16:00:00+00:00,London Westminster,no2,21.0,µg/m³
+London,GB,2019-06-07 15:00:00+00:00,London Westminster,no2,15.0,µg/m³
+London,GB,2019-06-07 14:00:00+00:00,London Westminster,no2,15.0,µg/m³
+London,GB,2019-06-07 13:00:00+00:00,London Westminster,no2,20.0,µg/m³
+London,GB,2019-06-07 12:00:00+00:00,London Westminster,no2,27.0,µg/m³
+London,GB,2019-06-07 11:00:00+00:00,London Westminster,no2,25.0,µg/m³
+London,GB,2019-06-07 10:00:00+00:00,London Westminster,no2,23.0,µg/m³
+London,GB,2019-06-07 09:00:00+00:00,London Westminster,no2,25.0,µg/m³
+London,GB,2019-06-07 08:00:00+00:00,London Westminster,no2,24.0,µg/m³
+London,GB,2019-06-07 07:00:00+00:00,London Westminster,no2,23.0,µg/m³
+London,GB,2019-06-07 06:00:00+00:00,London Westminster,no2,25.0,µg/m³
+London,GB,2019-06-07 05:00:00+00:00,London Westminster,no2,23.0,µg/m³
+London,GB,2019-06-07 04:00:00+00:00,London Westminster,no2,23.0,µg/m³
+London,GB,2019-06-07 03:00:00+00:00,London Westminster,no2,27.0,µg/m³
+London,GB,2019-06-07 02:00:00+00:00,London Westminster,no2,27.0,µg/m³
+London,GB,2019-06-07 01:00:00+00:00,London Westminster,no2,23.0,µg/m³
+London,GB,2019-06-07 00:00:00+00:00,London Westminster,no2,23.0,µg/m³
+London,GB,2019-06-06 23:00:00+00:00,London Westminster,no2,21.0,µg/m³
+London,GB,2019-06-06 22:00:00+00:00,London Westminster,no2,21.0,µg/m³
+London,GB,2019-06-06 21:00:00+00:00,London Westminster,no2,24.0,µg/m³
+London,GB,2019-06-06 20:00:00+00:00,London Westminster,no2,22.0,µg/m³
+London,GB,2019-06-06 19:00:00+00:00,London Westminster,no2,24.0,µg/m³
+London,GB,2019-06-06 18:00:00+00:00,London Westminster,no2,24.0,µg/m³
+London,GB,2019-06-06 17:00:00+00:00,London Westminster,no2,24.0,µg/m³
+London,GB,2019-06-06 16:00:00+00:00,London Westminster,no2,22.0,µg/m³
+London,GB,2019-06-06 15:00:00+00:00,London Westminster,no2,16.0,µg/m³
+London,GB,2019-06-06 14:00:00+00:00,London Westminster,no2,11.0,µg/m³
+London,GB,2019-06-06 13:00:00+00:00,London Westminster,no2,10.0,µg/m³
+London,GB,2019-06-06 12:00:00+00:00,London Westminster,no2,12.0,µg/m³
+London,GB,2019-06-06 11:00:00+00:00,London Westminster,no2,7.0,µg/m³
+London,GB,2019-06-06 10:00:00+00:00,London Westminster,no2,7.0,µg/m³
+London,GB,2019-06-06 09:00:00+00:00,London Westminster,no2,1.0,µg/m³
+London,GB,2019-06-06 08:00:00+00:00,London Westminster,no2,0.0,µg/m³
+London,GB,2019-06-06 07:00:00+00:00,London Westminster,no2,3.0,µg/m³
+London,GB,2019-06-06 06:00:00+00:00,London Westminster,no2,1.0,µg/m³
+London,GB,2019-06-06 05:00:00+00:00,London Westminster,no2,0.0,µg/m³
+London,GB,2019-06-06 04:00:00+00:00,London Westminster,no2,0.0,µg/m³
+London,GB,2019-06-06 03:00:00+00:00,London Westminster,no2,4.0,µg/m³
+London,GB,2019-06-06 02:00:00+00:00,London Westminster,no2,4.0,µg/m³
+London,GB,2019-06-06 00:00:00+00:00,London Westminster,no2,8.0,µg/m³
+London,GB,2019-06-05 23:00:00+00:00,London Westminster,no2,17.0,µg/m³
+London,GB,2019-06-05 22:00:00+00:00,London Westminster,no2,17.0,µg/m³
+London,GB,2019-06-05 21:00:00+00:00,London Westminster,no2,19.0,µg/m³
+London,GB,2019-06-05 20:00:00+00:00,London Westminster,no2,19.0,µg/m³
+London,GB,2019-06-05 19:00:00+00:00,London Westminster,no2,19.0,µg/m³
+London,GB,2019-06-05 18:00:00+00:00,London Westminster,no2,19.0,µg/m³
+London,GB,2019-06-05 17:00:00+00:00,London Westminster,no2,19.0,µg/m³
+London,GB,2019-06-05 16:00:00+00:00,London Westminster,no2,19.0,µg/m³
+London,GB,2019-06-05 15:00:00+00:00,London Westminster,no2,20.0,µg/m³
+London,GB,2019-06-05 14:00:00+00:00,London Westminster,no2,20.0,µg/m³
+London,GB,2019-06-05 13:00:00+00:00,London Westminster,no2,14.0,µg/m³
+London,GB,2019-06-05 12:00:00+00:00,London Westminster,no2,9.0,µg/m³
+London,GB,2019-06-05 11:00:00+00:00,London Westminster,no2,7.0,µg/m³
+London,GB,2019-06-05 10:00:00+00:00,London Westminster,no2,5.0,µg/m³
+London,GB,2019-06-05 09:00:00+00:00,London Westminster,no2,0.0,µg/m³
+London,GB,2019-06-05 08:00:00+00:00,London Westminster,no2,0.0,µg/m³
+London,GB,2019-06-05 07:00:00+00:00,London Westminster,no2,1.0,µg/m³
+London,GB,2019-06-05 06:00:00+00:00,London Westminster,no2,2.0,µg/m³
+London,GB,2019-06-05 05:00:00+00:00,London Westminster,no2,6.0,µg/m³
+London,GB,2019-06-05 04:00:00+00:00,London Westminster,no2,6.0,µg/m³
+London,GB,2019-06-05 03:00:00+00:00,London Westminster,no2,4.0,µg/m³
+London,GB,2019-06-05 02:00:00+00:00,London Westminster,no2,4.0,µg/m³
+London,GB,2019-06-05 01:00:00+00:00,London Westminster,no2,13.0,µg/m³
+London,GB,2019-06-05 00:00:00+00:00,London Westminster,no2,13.0,µg/m³
+London,GB,2019-06-04 23:00:00+00:00,London Westminster,no2,17.0,µg/m³
+London,GB,2019-06-04 22:00:00+00:00,London Westminster,no2,17.0,µg/m³
+London,GB,2019-06-04 21:00:00+00:00,London Westminster,no2,17.0,µg/m³
+London,GB,2019-06-04 20:00:00+00:00,London Westminster,no2,18.0,µg/m³
+London,GB,2019-06-04 19:00:00+00:00,London Westminster,no2,20.0,µg/m³
+London,GB,2019-06-04 18:00:00+00:00,London Westminster,no2,29.0,µg/m³
+London,GB,2019-06-04 17:00:00+00:00,London Westminster,no2,40.0,µg/m³
+London,GB,2019-06-04 16:00:00+00:00,London Westminster,no2,38.0,µg/m³
+London,GB,2019-06-04 15:00:00+00:00,London Westminster,no2,38.0,µg/m³
+London,GB,2019-06-04 14:00:00+00:00,London Westminster,no2,36.0,µg/m³
+London,GB,2019-06-04 13:00:00+00:00,London Westminster,no2,37.0,µg/m³
+London,GB,2019-06-04 12:00:00+00:00,London Westminster,no2,35.0,µg/m³
+London,GB,2019-06-04 11:00:00+00:00,London Westminster,no2,32.0,µg/m³
+London,GB,2019-06-04 10:00:00+00:00,London Westminster,no2,31.0,µg/m³
+London,GB,2019-06-04 09:00:00+00:00,London Westminster,no2,35.0,µg/m³
+London,GB,2019-06-04 08:00:00+00:00,London Westminster,no2,22.0,µg/m³
+London,GB,2019-06-04 07:00:00+00:00,London Westminster,no2,18.0,µg/m³
+London,GB,2019-06-04 06:00:00+00:00,London Westminster,no2,14.0,µg/m³
+London,GB,2019-06-04 05:00:00+00:00,London Westminster,no2,5.0,µg/m³
+London,GB,2019-06-04 04:00:00+00:00,London Westminster,no2,5.0,µg/m³
+London,GB,2019-06-04 03:00:00+00:00,London Westminster,no2,8.0,µg/m³
+London,GB,2019-06-04 02:00:00+00:00,London Westminster,no2,8.0,µg/m³
+London,GB,2019-06-04 01:00:00+00:00,London Westminster,no2,12.0,µg/m³
+London,GB,2019-06-04 00:00:00+00:00,London Westminster,no2,12.0,µg/m³
+London,GB,2019-06-03 23:00:00+00:00,London Westminster,no2,17.0,µg/m³
+London,GB,2019-06-03 22:00:00+00:00,London Westminster,no2,17.0,µg/m³
+London,GB,2019-06-03 21:00:00+00:00,London Westminster,no2,20.0,µg/m³
+London,GB,2019-06-03 20:00:00+00:00,London Westminster,no2,20.0,µg/m³
+London,GB,2019-06-03 19:00:00+00:00,London Westminster,no2,23.0,µg/m³
+London,GB,2019-06-03 18:00:00+00:00,London Westminster,no2,24.0,µg/m³
+London,GB,2019-06-03 17:00:00+00:00,London Westminster,no2,24.0,µg/m³
+London,GB,2019-06-03 16:00:00+00:00,London Westminster,no2,22.0,µg/m³
+London,GB,2019-06-03 15:00:00+00:00,London Westminster,no2,21.0,µg/m³
+London,GB,2019-06-03 14:00:00+00:00,London Westminster,no2,17.0,µg/m³
+London,GB,2019-06-03 13:00:00+00:00,London Westminster,no2,15.0,µg/m³
+London,GB,2019-06-03 12:00:00+00:00,London Westminster,no2,14.0,µg/m³
+London,GB,2019-06-03 11:00:00+00:00,London Westminster,no2,16.0,µg/m³
+London,GB,2019-06-03 10:00:00+00:00,London Westminster,no2,11.0,µg/m³
+London,GB,2019-06-03 09:00:00+00:00,London Westminster,no2,5.0,µg/m³
+London,GB,2019-06-03 08:00:00+00:00,London Westminster,no2,7.0,µg/m³
+London,GB,2019-06-03 07:00:00+00:00,London Westminster,no2,6.0,µg/m³
+London,GB,2019-06-03 06:00:00+00:00,London Westminster,no2,5.0,µg/m³
+London,GB,2019-06-03 05:00:00+00:00,London Westminster,no2,3.0,µg/m³
+London,GB,2019-06-03 04:00:00+00:00,London Westminster,no2,3.0,µg/m³
+London,GB,2019-06-03 03:00:00+00:00,London Westminster,no2,11.0,µg/m³
+London,GB,2019-06-03 02:00:00+00:00,London Westminster,no2,11.0,µg/m³
+London,GB,2019-06-03 01:00:00+00:00,London Westminster,no2,21.0,µg/m³
+London,GB,2019-06-03 00:00:00+00:00,London Westminster,no2,21.0,µg/m³
+London,GB,2019-06-02 23:00:00+00:00,London Westminster,no2,27.0,µg/m³
+London,GB,2019-06-02 22:00:00+00:00,London Westminster,no2,27.0,µg/m³
+London,GB,2019-06-02 21:00:00+00:00,London Westminster,no2,28.0,µg/m³
+London,GB,2019-06-02 20:00:00+00:00,London Westminster,no2,32.0,µg/m³
+London,GB,2019-06-02 19:00:00+00:00,London Westminster,no2,34.0,µg/m³
+London,GB,2019-06-02 18:00:00+00:00,London Westminster,no2,34.0,µg/m³
+London,GB,2019-06-02 17:00:00+00:00,London Westminster,no2,32.0,µg/m³
+London,GB,2019-06-02 16:00:00+00:00,London Westminster,no2,32.0,µg/m³
+London,GB,2019-06-02 15:00:00+00:00,London Westminster,no2,33.0,µg/m³
+London,GB,2019-06-02 14:00:00+00:00,London Westminster,no2,36.0,µg/m³
+London,GB,2019-06-02 13:00:00+00:00,London Westminster,no2,34.0,µg/m³
+London,GB,2019-06-02 12:00:00+00:00,London Westminster,no2,35.0,µg/m³
+London,GB,2019-06-02 11:00:00+00:00,London Westminster,no2,36.0,µg/m³
+London,GB,2019-06-02 10:00:00+00:00,London Westminster,no2,35.0,µg/m³
+London,GB,2019-06-02 09:00:00+00:00,London Westminster,no2,32.0,µg/m³
+London,GB,2019-06-02 08:00:00+00:00,London Westminster,no2,30.0,µg/m³
+London,GB,2019-06-02 07:00:00+00:00,London Westminster,no2,32.0,µg/m³
+London,GB,2019-06-02 06:00:00+00:00,London Westminster,no2,32.0,µg/m³
+London,GB,2019-06-02 05:00:00+00:00,London Westminster,no2,37.0,µg/m³
+London,GB,2019-06-02 04:00:00+00:00,London Westminster,no2,37.0,µg/m³
+London,GB,2019-06-02 03:00:00+00:00,London Westminster,no2,43.0,µg/m³
+London,GB,2019-06-02 02:00:00+00:00,London Westminster,no2,43.0,µg/m³
+London,GB,2019-06-02 01:00:00+00:00,London Westminster,no2,44.0,µg/m³
+London,GB,2019-06-02 00:00:00+00:00,London Westminster,no2,44.0,µg/m³
+London,GB,2019-06-01 23:00:00+00:00,London Westminster,no2,52.0,µg/m³
+London,GB,2019-06-01 22:00:00+00:00,London Westminster,no2,52.0,µg/m³
+London,GB,2019-06-01 21:00:00+00:00,London Westminster,no2,44.0,µg/m³
+London,GB,2019-06-01 20:00:00+00:00,London Westminster,no2,41.0,µg/m³
+London,GB,2019-06-01 19:00:00+00:00,London Westminster,no2,38.0,µg/m³
+London,GB,2019-06-01 18:00:00+00:00,London Westminster,no2,36.0,µg/m³
+London,GB,2019-06-01 17:00:00+00:00,London Westminster,no2,32.0,µg/m³
+London,GB,2019-06-01 16:00:00+00:00,London Westminster,no2,31.0,µg/m³
+London,GB,2019-06-01 15:00:00+00:00,London Westminster,no2,33.0,µg/m³
+London,GB,2019-06-01 14:00:00+00:00,London Westminster,no2,36.0,µg/m³
+London,GB,2019-06-01 13:00:00+00:00,London Westminster,no2,33.0,µg/m³
+London,GB,2019-06-01 12:00:00+00:00,London Westminster,no2,28.0,µg/m³
+London,GB,2019-06-01 11:00:00+00:00,London Westminster,no2,19.0,µg/m³
+London,GB,2019-06-01 10:00:00+00:00,London Westminster,no2,12.0,µg/m³
+London,GB,2019-06-01 09:00:00+00:00,London Westminster,no2,9.0,µg/m³
+London,GB,2019-06-01 08:00:00+00:00,London Westminster,no2,8.0,µg/m³
+London,GB,2019-06-01 07:00:00+00:00,London Westminster,no2,2.0,µg/m³
+London,GB,2019-06-01 06:00:00+00:00,London Westminster,no2,4.0,µg/m³
+London,GB,2019-06-01 05:00:00+00:00,London Westminster,no2,11.0,µg/m³
+London,GB,2019-06-01 04:00:00+00:00,London Westminster,no2,11.0,µg/m³
+London,GB,2019-06-01 03:00:00+00:00,London Westminster,no2,16.0,µg/m³
+London,GB,2019-06-01 02:00:00+00:00,London Westminster,no2,16.0,µg/m³
+London,GB,2019-06-01 01:00:00+00:00,London Westminster,no2,22.0,µg/m³
+London,GB,2019-06-01 00:00:00+00:00,London Westminster,no2,22.0,µg/m³
+London,GB,2019-05-31 23:00:00+00:00,London Westminster,no2,26.0,µg/m³
+London,GB,2019-05-31 22:00:00+00:00,London Westminster,no2,26.0,µg/m³
+London,GB,2019-05-31 21:00:00+00:00,London Westminster,no2,31.0,µg/m³
+London,GB,2019-05-31 20:00:00+00:00,London Westminster,no2,33.0,µg/m³
+London,GB,2019-05-31 19:00:00+00:00,London Westminster,no2,33.0,µg/m³
+London,GB,2019-05-31 18:00:00+00:00,London Westminster,no2,29.0,µg/m³
+London,GB,2019-05-31 17:00:00+00:00,London Westminster,no2,26.0,µg/m³
+London,GB,2019-05-31 16:00:00+00:00,London Westminster,no2,26.0,µg/m³
+London,GB,2019-05-31 15:00:00+00:00,London Westminster,no2,24.0,µg/m³
+London,GB,2019-05-31 14:00:00+00:00,London Westminster,no2,21.0,µg/m³
+London,GB,2019-05-31 13:00:00+00:00,London Westminster,no2,21.0,µg/m³
+London,GB,2019-05-31 12:00:00+00:00,London Westminster,no2,18.0,µg/m³
+London,GB,2019-05-31 11:00:00+00:00,London Westminster,no2,16.0,µg/m³
+London,GB,2019-05-31 10:00:00+00:00,London Westminster,no2,15.0,µg/m³
+London,GB,2019-05-31 09:00:00+00:00,London Westminster,no2,37.0,µg/m³
+London,GB,2019-05-31 08:00:00+00:00,London Westminster,no2,8.0,µg/m³
+London,GB,2019-05-31 07:00:00+00:00,London Westminster,no2,9.0,µg/m³
+London,GB,2019-05-31 06:00:00+00:00,London Westminster,no2,8.0,µg/m³
+London,GB,2019-05-31 05:00:00+00:00,London Westminster,no2,9.0,µg/m³
+London,GB,2019-05-31 04:00:00+00:00,London Westminster,no2,9.0,µg/m³
+London,GB,2019-05-31 03:00:00+00:00,London Westminster,no2,12.0,µg/m³
+London,GB,2019-05-31 02:00:00+00:00,London Westminster,no2,12.0,µg/m³
+London,GB,2019-05-31 01:00:00+00:00,London Westminster,no2,18.0,µg/m³
+London,GB,2019-05-31 00:00:00+00:00,London Westminster,no2,18.0,µg/m³
+London,GB,2019-05-30 23:00:00+00:00,London Westminster,no2,23.0,µg/m³
+London,GB,2019-05-30 22:00:00+00:00,London Westminster,no2,23.0,µg/m³
+London,GB,2019-05-30 21:00:00+00:00,London Westminster,no2,27.0,µg/m³
+London,GB,2019-05-30 20:00:00+00:00,London Westminster,no2,27.0,µg/m³
+London,GB,2019-05-30 19:00:00+00:00,London Westminster,no2,28.0,µg/m³
+London,GB,2019-05-30 18:00:00+00:00,London Westminster,no2,28.0,µg/m³
+London,GB,2019-05-30 17:00:00+00:00,London Westminster,no2,30.0,µg/m³
+London,GB,2019-05-30 16:00:00+00:00,London Westminster,no2,27.0,µg/m³
+London,GB,2019-05-30 15:00:00+00:00,London Westminster,no2,22.0,µg/m³
+London,GB,2019-05-30 14:00:00+00:00,London Westminster,no2,22.0,µg/m³
+London,GB,2019-05-30 13:00:00+00:00,London Westminster,no2,20.0,µg/m³
+London,GB,2019-05-30 12:00:00+00:00,London Westminster,no2,17.0,µg/m³
+London,GB,2019-05-30 11:00:00+00:00,London Westminster,no2,13.0,µg/m³
+London,GB,2019-05-30 10:00:00+00:00,London Westminster,no2,9.0,µg/m³
+London,GB,2019-05-30 09:00:00+00:00,London Westminster,no2,5.0,µg/m³
+London,GB,2019-05-30 08:00:00+00:00,London Westminster,no2,3.0,µg/m³
+London,GB,2019-05-30 07:00:00+00:00,London Westminster,no2,2.0,µg/m³
+London,GB,2019-05-30 06:00:00+00:00,London Westminster,no2,0.0,µg/m³
+London,GB,2019-05-30 05:00:00+00:00,London Westminster,no2,0.0,µg/m³
+London,GB,2019-05-30 04:00:00+00:00,London Westminster,no2,0.0,µg/m³
+London,GB,2019-05-30 03:00:00+00:00,London Westminster,no2,0.0,µg/m³
+London,GB,2019-05-30 02:00:00+00:00,London Westminster,no2,0.0,µg/m³
+London,GB,2019-05-30 01:00:00+00:00,London Westminster,no2,1.0,µg/m³
+London,GB,2019-05-30 00:00:00+00:00,London Westminster,no2,1.0,µg/m³
+London,GB,2019-05-29 23:00:00+00:00,London Westminster,no2,5.0,µg/m³
+London,GB,2019-05-29 22:00:00+00:00,London Westminster,no2,5.0,µg/m³
+London,GB,2019-05-29 21:00:00+00:00,London Westminster,no2,6.0,µg/m³
+London,GB,2019-05-29 20:00:00+00:00,London Westminster,no2,6.0,µg/m³
+London,GB,2019-05-29 19:00:00+00:00,London Westminster,no2,5.0,µg/m³
+London,GB,2019-05-29 18:00:00+00:00,London Westminster,no2,5.0,µg/m³
+London,GB,2019-05-29 17:00:00+00:00,London Westminster,no2,5.0,µg/m³
+London,GB,2019-05-29 16:00:00+00:00,London Westminster,no2,3.0,µg/m³
+London,GB,2019-05-29 15:00:00+00:00,London Westminster,no2,5.0,µg/m³
+London,GB,2019-05-29 14:00:00+00:00,London Westminster,no2,15.0,µg/m³
+London,GB,2019-05-29 13:00:00+00:00,London Westminster,no2,13.0,µg/m³
+London,GB,2019-05-29 12:00:00+00:00,London Westminster,no2,20.0,µg/m³
+London,GB,2019-05-29 11:00:00+00:00,London Westminster,no2,18.0,µg/m³
+London,GB,2019-05-29 10:00:00+00:00,London Westminster,no2,18.0,µg/m³
+London,GB,2019-05-29 09:00:00+00:00,London Westminster,no2,18.0,µg/m³
+London,GB,2019-05-29 08:00:00+00:00,London Westminster,no2,21.0,µg/m³
+London,GB,2019-05-29 07:00:00+00:00,London Westminster,no2,22.0,µg/m³
+London,GB,2019-05-29 06:00:00+00:00,London Westminster,no2,24.0,µg/m³
+London,GB,2019-05-29 05:00:00+00:00,London Westminster,no2,21.0,µg/m³
+London,GB,2019-05-29 04:00:00+00:00,London Westminster,no2,21.0,µg/m³
+London,GB,2019-05-29 03:00:00+00:00,London Westminster,no2,23.0,µg/m³
+London,GB,2019-05-29 02:00:00+00:00,London Westminster,no2,23.0,µg/m³
+London,GB,2019-05-29 01:00:00+00:00,London Westminster,no2,26.0,µg/m³
+London,GB,2019-05-29 00:00:00+00:00,London Westminster,no2,26.0,µg/m³
+London,GB,2019-05-28 23:00:00+00:00,London Westminster,no2,25.0,µg/m³
+London,GB,2019-05-28 21:00:00+00:00,London Westminster,no2,31.0,µg/m³
+London,GB,2019-05-28 20:00:00+00:00,London Westminster,no2,29.0,µg/m³
+London,GB,2019-05-28 19:00:00+00:00,London Westminster,no2,29.0,µg/m³
+London,GB,2019-05-28 18:00:00+00:00,London Westminster,no2,29.0,µg/m³
+London,GB,2019-05-28 17:00:00+00:00,London Westminster,no2,25.0,µg/m³
+London,GB,2019-05-28 16:00:00+00:00,London Westminster,no2,27.0,µg/m³
+London,GB,2019-05-28 15:00:00+00:00,London Westminster,no2,30.0,µg/m³
+London,GB,2019-05-28 14:00:00+00:00,London Westminster,no2,29.0,µg/m³
+London,GB,2019-05-28 13:00:00+00:00,London Westminster,no2,27.0,µg/m³
+London,GB,2019-05-28 12:00:00+00:00,London Westminster,no2,28.0,µg/m³
+London,GB,2019-05-28 11:00:00+00:00,London Westminster,no2,21.0,µg/m³
+London,GB,2019-05-28 10:00:00+00:00,London Westminster,no2,21.0,µg/m³
+London,GB,2019-05-28 09:00:00+00:00,London Westminster,no2,20.0,µg/m³
+London,GB,2019-05-28 08:00:00+00:00,London Westminster,no2,20.0,µg/m³
+London,GB,2019-05-28 07:00:00+00:00,London Westminster,no2,20.0,µg/m³
+London,GB,2019-05-28 06:00:00+00:00,London Westminster,no2,19.0,µg/m³
+London,GB,2019-05-28 05:00:00+00:00,London Westminster,no2,15.0,µg/m³
+London,GB,2019-05-28 04:00:00+00:00,London Westminster,no2,15.0,µg/m³
+London,GB,2019-05-28 03:00:00+00:00,London Westminster,no2,16.0,µg/m³
+London,GB,2019-05-28 02:00:00+00:00,London Westminster,no2,16.0,µg/m³
+London,GB,2019-05-28 01:00:00+00:00,London Westminster,no2,16.0,µg/m³
+London,GB,2019-05-28 00:00:00+00:00,London Westminster,no2,16.0,µg/m³
+London,GB,2019-05-27 23:00:00+00:00,London Westminster,no2,19.0,µg/m³
+London,GB,2019-05-27 22:00:00+00:00,London Westminster,no2,19.0,µg/m³
+London,GB,2019-05-27 21:00:00+00:00,London Westminster,no2,20.0,µg/m³
+London,GB,2019-05-27 20:00:00+00:00,London Westminster,no2,23.0,µg/m³
+London,GB,2019-05-27 19:00:00+00:00,London Westminster,no2,22.0,µg/m³
+London,GB,2019-05-27 18:00:00+00:00,London Westminster,no2,22.0,µg/m³
+London,GB,2019-05-27 17:00:00+00:00,London Westminster,no2,22.0,µg/m³
+London,GB,2019-05-27 16:00:00+00:00,London Westminster,no2,22.0,µg/m³
+London,GB,2019-05-27 15:00:00+00:00,London Westminster,no2,22.0,µg/m³
+London,GB,2019-05-27 14:00:00+00:00,London Westminster,no2,20.0,µg/m³
+London,GB,2019-05-27 13:00:00+00:00,London Westminster,no2,20.0,µg/m³
+London,GB,2019-05-27 12:00:00+00:00,London Westminster,no2,17.0,µg/m³
+London,GB,2019-05-27 11:00:00+00:00,London Westminster,no2,17.0,µg/m³
+London,GB,2019-05-27 10:00:00+00:00,London Westminster,no2,16.0,µg/m³
+London,GB,2019-05-27 09:00:00+00:00,London Westminster,no2,18.0,µg/m³
+London,GB,2019-05-27 08:00:00+00:00,London Westminster,no2,18.0,µg/m³
+London,GB,2019-05-27 07:00:00+00:00,London Westminster,no2,18.0,µg/m³
+London,GB,2019-05-27 06:00:00+00:00,London Westminster,no2,18.0,µg/m³
+London,GB,2019-05-27 05:00:00+00:00,London Westminster,no2,19.0,µg/m³
+London,GB,2019-05-27 04:00:00+00:00,London Westminster,no2,19.0,µg/m³
+London,GB,2019-05-27 03:00:00+00:00,London Westminster,no2,24.0,µg/m³
+London,GB,2019-05-27 02:00:00+00:00,London Westminster,no2,24.0,µg/m³
+London,GB,2019-05-27 01:00:00+00:00,London Westminster,no2,26.0,µg/m³
+London,GB,2019-05-27 00:00:00+00:00,London Westminster,no2,26.0,µg/m³
+London,GB,2019-05-26 23:00:00+00:00,London Westminster,no2,26.0,µg/m³
+London,GB,2019-05-26 22:00:00+00:00,London Westminster,no2,26.0,µg/m³
+London,GB,2019-05-26 21:00:00+00:00,London Westminster,no2,27.0,µg/m³
+London,GB,2019-05-26 20:00:00+00:00,London Westminster,no2,25.0,µg/m³
+London,GB,2019-05-26 19:00:00+00:00,London Westminster,no2,26.0,µg/m³
+London,GB,2019-05-26 18:00:00+00:00,London Westminster,no2,28.0,µg/m³
+London,GB,2019-05-26 17:00:00+00:00,London Westminster,no2,26.0,µg/m³
+London,GB,2019-05-26 16:00:00+00:00,London Westminster,no2,27.0,µg/m³
+London,GB,2019-05-26 15:00:00+00:00,London Westminster,no2,26.0,µg/m³
+London,GB,2019-05-26 14:00:00+00:00,London Westminster,no2,25.0,µg/m³
+London,GB,2019-05-26 13:00:00+00:00,London Westminster,no2,24.0,µg/m³
+London,GB,2019-05-26 12:00:00+00:00,London Westminster,no2,21.0,µg/m³
+London,GB,2019-05-26 11:00:00+00:00,London Westminster,no2,17.0,µg/m³
+London,GB,2019-05-26 10:00:00+00:00,London Westminster,no2,16.0,µg/m³
+London,GB,2019-05-26 09:00:00+00:00,London Westminster,no2,15.0,µg/m³
+London,GB,2019-05-26 08:00:00+00:00,London Westminster,no2,15.0,µg/m³
+London,GB,2019-05-26 07:00:00+00:00,London Westminster,no2,17.0,µg/m³
+London,GB,2019-05-26 06:00:00+00:00,London Westminster,no2,17.0,µg/m³
+London,GB,2019-05-26 05:00:00+00:00,London Westminster,no2,20.0,µg/m³
+London,GB,2019-05-26 04:00:00+00:00,London Westminster,no2,20.0,µg/m³
+London,GB,2019-05-26 03:00:00+00:00,London Westminster,no2,26.0,µg/m³
+London,GB,2019-05-26 02:00:00+00:00,London Westminster,no2,26.0,µg/m³
+London,GB,2019-05-26 01:00:00+00:00,London Westminster,no2,32.0,µg/m³
+London,GB,2019-05-26 00:00:00+00:00,London Westminster,no2,32.0,µg/m³
+London,GB,2019-05-25 23:00:00+00:00,London Westminster,no2,36.0,µg/m³
+London,GB,2019-05-25 22:00:00+00:00,London Westminster,no2,36.0,µg/m³
+London,GB,2019-05-25 21:00:00+00:00,London Westminster,no2,41.0,µg/m³
+London,GB,2019-05-25 20:00:00+00:00,London Westminster,no2,44.0,µg/m³
+London,GB,2019-05-25 19:00:00+00:00,London Westminster,no2,47.0,µg/m³
+London,GB,2019-05-25 18:00:00+00:00,London Westminster,no2,47.0,µg/m³
+London,GB,2019-05-25 17:00:00+00:00,London Westminster,no2,46.0,µg/m³
+London,GB,2019-05-25 16:00:00+00:00,London Westminster,no2,42.0,µg/m³
+London,GB,2019-05-25 15:00:00+00:00,London Westminster,no2,37.0,µg/m³
+London,GB,2019-05-25 14:00:00+00:00,London Westminster,no2,31.0,µg/m³
+London,GB,2019-05-25 13:00:00+00:00,London Westminster,no2,26.0,µg/m³
+London,GB,2019-05-25 12:00:00+00:00,London Westminster,no2,24.0,µg/m³
+London,GB,2019-05-25 11:00:00+00:00,London Westminster,no2,23.0,µg/m³
+London,GB,2019-05-25 10:00:00+00:00,London Westminster,no2,21.0,µg/m³
+London,GB,2019-05-25 09:00:00+00:00,London Westminster,no2,23.0,µg/m³
+London,GB,2019-05-25 08:00:00+00:00,London Westminster,no2,23.0,µg/m³
+London,GB,2019-05-25 07:00:00+00:00,London Westminster,no2,22.0,µg/m³
+London,GB,2019-05-25 06:00:00+00:00,London Westminster,no2,22.0,µg/m³
+London,GB,2019-05-25 05:00:00+00:00,London Westminster,no2,21.0,µg/m³
+London,GB,2019-05-25 04:00:00+00:00,London Westminster,no2,21.0,µg/m³
+London,GB,2019-05-25 03:00:00+00:00,London Westminster,no2,25.0,µg/m³
+London,GB,2019-05-25 02:00:00+00:00,London Westminster,no2,25.0,µg/m³
+London,GB,2019-05-25 01:00:00+00:00,London Westminster,no2,32.0,µg/m³
+London,GB,2019-05-25 00:00:00+00:00,London Westminster,no2,32.0,µg/m³
+London,GB,2019-05-24 23:00:00+00:00,London Westminster,no2,39.0,µg/m³
+London,GB,2019-05-24 22:00:00+00:00,London Westminster,no2,39.0,µg/m³
+London,GB,2019-05-24 21:00:00+00:00,London Westminster,no2,38.0,µg/m³
+London,GB,2019-05-24 20:00:00+00:00,London Westminster,no2,42.0,µg/m³
+London,GB,2019-05-24 19:00:00+00:00,London Westminster,no2,44.0,µg/m³
+London,GB,2019-05-24 18:00:00+00:00,London Westminster,no2,46.0,µg/m³
+London,GB,2019-05-24 17:00:00+00:00,London Westminster,no2,46.0,µg/m³
+London,GB,2019-05-24 16:00:00+00:00,London Westminster,no2,43.0,µg/m³
+London,GB,2019-05-24 15:00:00+00:00,London Westminster,no2,40.0,µg/m³
+London,GB,2019-05-24 14:00:00+00:00,London Westminster,no2,39.0,µg/m³
+London,GB,2019-05-24 13:00:00+00:00,London Westminster,no2,33.0,µg/m³
+London,GB,2019-05-24 12:00:00+00:00,London Westminster,no2,29.0,µg/m³
+London,GB,2019-05-24 11:00:00+00:00,London Westminster,no2,26.0,µg/m³
+London,GB,2019-05-24 10:00:00+00:00,London Westminster,no2,23.0,µg/m³
+London,GB,2019-05-24 09:00:00+00:00,London Westminster,no2,24.0,µg/m³
+London,GB,2019-05-24 08:00:00+00:00,London Westminster,no2,26.0,µg/m³
+London,GB,2019-05-24 07:00:00+00:00,London Westminster,no2,28.0,µg/m³
+London,GB,2019-05-24 06:00:00+00:00,London Westminster,no2,29.0,µg/m³
+London,GB,2019-05-24 05:00:00+00:00,London Westminster,no2,23.0,µg/m³
+London,GB,2019-05-24 04:00:00+00:00,London Westminster,no2,23.0,µg/m³
+London,GB,2019-05-24 03:00:00+00:00,London Westminster,no2,31.0,µg/m³
+London,GB,2019-05-24 02:00:00+00:00,London Westminster,no2,31.0,µg/m³
+London,GB,2019-05-24 00:00:00+00:00,London Westminster,no2,31.0,µg/m³
+London,GB,2019-05-23 23:00:00+00:00,London Westminster,no2,39.0,µg/m³
+London,GB,2019-05-23 22:00:00+00:00,London Westminster,no2,39.0,µg/m³
+London,GB,2019-05-23 21:00:00+00:00,London Westminster,no2,44.0,µg/m³
+London,GB,2019-05-23 20:00:00+00:00,London Westminster,no2,45.0,µg/m³
+London,GB,2019-05-23 19:00:00+00:00,London Westminster,no2,51.0,µg/m³
+London,GB,2019-05-23 18:00:00+00:00,London Westminster,no2,54.0,µg/m³
+London,GB,2019-05-23 17:00:00+00:00,London Westminster,no2,60.0,µg/m³
+London,GB,2019-05-23 16:00:00+00:00,London Westminster,no2,53.0,µg/m³
+London,GB,2019-05-23 15:00:00+00:00,London Westminster,no2,38.0,µg/m³
+London,GB,2019-05-23 14:00:00+00:00,London Westminster,no2,34.0,µg/m³
+London,GB,2019-05-23 13:00:00+00:00,London Westminster,no2,28.0,µg/m³
+London,GB,2019-05-23 12:00:00+00:00,London Westminster,no2,25.0,µg/m³
+London,GB,2019-05-23 11:00:00+00:00,London Westminster,no2,24.0,µg/m³
+London,GB,2019-05-23 10:00:00+00:00,London Westminster,no2,25.0,µg/m³
+London,GB,2019-05-23 09:00:00+00:00,London Westminster,no2,23.0,µg/m³
+London,GB,2019-05-23 08:00:00+00:00,London Westminster,no2,25.0,µg/m³
+London,GB,2019-05-23 07:00:00+00:00,London Westminster,no2,26.0,µg/m³
+London,GB,2019-05-23 06:00:00+00:00,London Westminster,no2,24.0,µg/m³
+London,GB,2019-05-23 05:00:00+00:00,London Westminster,no2,19.0,µg/m³
+London,GB,2019-05-23 04:00:00+00:00,London Westminster,no2,19.0,µg/m³
+London,GB,2019-05-23 03:00:00+00:00,London Westminster,no2,20.0,µg/m³
+London,GB,2019-05-23 02:00:00+00:00,London Westminster,no2,20.0,µg/m³
+London,GB,2019-05-23 01:00:00+00:00,London Westminster,no2,23.0,µg/m³
+London,GB,2019-05-23 00:00:00+00:00,London Westminster,no2,23.0,µg/m³
+London,GB,2019-05-22 23:00:00+00:00,London Westminster,no2,32.0,µg/m³
+London,GB,2019-05-22 22:00:00+00:00,London Westminster,no2,32.0,µg/m³
+London,GB,2019-05-22 21:00:00+00:00,London Westminster,no2,31.0,µg/m³
+London,GB,2019-05-22 20:00:00+00:00,London Westminster,no2,33.0,µg/m³
+London,GB,2019-05-22 19:00:00+00:00,London Westminster,no2,33.0,µg/m³
+London,GB,2019-05-22 18:00:00+00:00,London Westminster,no2,34.0,µg/m³
+London,GB,2019-05-22 17:00:00+00:00,London Westminster,no2,34.0,µg/m³
+London,GB,2019-05-22 16:00:00+00:00,London Westminster,no2,32.0,µg/m³
+London,GB,2019-05-22 15:00:00+00:00,London Westminster,no2,30.0,µg/m³
+London,GB,2019-05-22 14:00:00+00:00,London Westminster,no2,28.0,µg/m³
+London,GB,2019-05-22 13:00:00+00:00,London Westminster,no2,25.0,µg/m³
+London,GB,2019-05-22 12:00:00+00:00,London Westminster,no2,25.0,µg/m³
+London,GB,2019-05-22 11:00:00+00:00,London Westminster,no2,28.0,µg/m³
+London,GB,2019-05-22 10:00:00+00:00,London Westminster,no2,31.0,µg/m³
+London,GB,2019-05-22 09:00:00+00:00,London Westminster,no2,31.0,µg/m³
+London,GB,2019-05-22 08:00:00+00:00,London Westminster,no2,31.0,µg/m³
+London,GB,2019-05-22 07:00:00+00:00,London Westminster,no2,29.0,µg/m³
+London,GB,2019-05-22 06:00:00+00:00,London Westminster,no2,28.0,µg/m³
+London,GB,2019-05-22 05:00:00+00:00,London Westminster,no2,21.0,µg/m³
+London,GB,2019-05-22 04:00:00+00:00,London Westminster,no2,21.0,µg/m³
+London,GB,2019-05-22 03:00:00+00:00,London Westminster,no2,27.0,µg/m³
+London,GB,2019-05-22 02:00:00+00:00,London Westminster,no2,27.0,µg/m³
+London,GB,2019-05-22 01:00:00+00:00,London Westminster,no2,30.0,µg/m³
+London,GB,2019-05-22 00:00:00+00:00,London Westminster,no2,30.0,µg/m³
+London,GB,2019-05-21 23:00:00+00:00,London Westminster,no2,33.0,µg/m³
+London,GB,2019-05-21 22:00:00+00:00,London Westminster,no2,33.0,µg/m³
+London,GB,2019-05-21 21:00:00+00:00,London Westminster,no2,33.0,µg/m³
+London,GB,2019-05-21 20:00:00+00:00,London Westminster,no2,38.0,µg/m³
+London,GB,2019-05-21 19:00:00+00:00,London Westminster,no2,40.0,µg/m³
+London,GB,2019-05-21 18:00:00+00:00,London Westminster,no2,35.0,µg/m³
+London,GB,2019-05-21 17:00:00+00:00,London Westminster,no2,37.0,µg/m³
+London,GB,2019-05-21 16:00:00+00:00,London Westminster,no2,34.0,µg/m³
+London,GB,2019-05-21 15:00:00+00:00,London Westminster,no2,34.0,µg/m³
+London,GB,2019-05-21 14:00:00+00:00,London Westminster,no2,33.0,µg/m³
+London,GB,2019-05-21 13:00:00+00:00,London Westminster,no2,28.0,µg/m³
+London,GB,2019-05-21 12:00:00+00:00,London Westminster,no2,26.0,µg/m³
+London,GB,2019-05-21 11:00:00+00:00,London Westminster,no2,26.0,µg/m³
+London,GB,2019-05-21 10:00:00+00:00,London Westminster,no2,29.0,µg/m³
+London,GB,2019-05-21 09:00:00+00:00,London Westminster,no2,29.0,µg/m³
+London,GB,2019-05-21 08:00:00+00:00,London Westminster,no2,28.0,µg/m³
+London,GB,2019-05-21 07:00:00+00:00,London Westminster,no2,27.0,µg/m³
+London,GB,2019-05-21 06:00:00+00:00,London Westminster,no2,30.0,µg/m³
+London,GB,2019-05-21 05:00:00+00:00,London Westminster,no2,23.0,µg/m³
+London,GB,2019-05-21 04:00:00+00:00,London Westminster,no2,23.0,µg/m³
+London,GB,2019-05-21 03:00:00+00:00,London Westminster,no2,26.0,µg/m³
+London,GB,2019-05-21 02:00:00+00:00,London Westminster,no2,26.0,µg/m³
+London,GB,2019-05-21 01:00:00+00:00,London Westminster,no2,35.0,µg/m³
+London,GB,2019-05-21 00:00:00+00:00,London Westminster,no2,35.0,µg/m³
+London,GB,2019-05-20 23:00:00+00:00,London Westminster,no2,47.0,µg/m³
+London,GB,2019-05-20 22:00:00+00:00,London Westminster,no2,47.0,µg/m³
+London,GB,2019-05-20 21:00:00+00:00,London Westminster,no2,34.0,µg/m³
+London,GB,2019-05-20 20:00:00+00:00,London Westminster,no2,32.0,µg/m³
+London,GB,2019-05-20 19:00:00+00:00,London Westminster,no2,32.0,µg/m³
+London,GB,2019-05-20 18:00:00+00:00,London Westminster,no2,33.0,µg/m³
+London,GB,2019-05-20 17:00:00+00:00,London Westminster,no2,30.0,µg/m³
+London,GB,2019-05-20 16:00:00+00:00,London Westminster,no2,29.0,µg/m³
+London,GB,2019-05-20 15:00:00+00:00,London Westminster,no2,32.0,µg/m³
+London,GB,2019-05-20 14:00:00+00:00,London Westminster,no2,32.0,µg/m³
+London,GB,2019-05-20 13:00:00+00:00,London Westminster,no2,29.0,µg/m³
+London,GB,2019-05-20 12:00:00+00:00,London Westminster,no2,28.0,µg/m³
+London,GB,2019-05-20 11:00:00+00:00,London Westminster,no2,28.0,µg/m³
+London,GB,2019-05-20 10:00:00+00:00,London Westminster,no2,28.0,µg/m³
+London,GB,2019-05-20 09:00:00+00:00,London Westminster,no2,29.0,µg/m³
+London,GB,2019-05-20 08:00:00+00:00,London Westminster,no2,29.0,µg/m³
+London,GB,2019-05-20 07:00:00+00:00,London Westminster,no2,31.0,µg/m³
+London,GB,2019-05-20 06:00:00+00:00,London Westminster,no2,31.0,µg/m³
+London,GB,2019-05-20 05:00:00+00:00,London Westminster,no2,26.0,µg/m³
+London,GB,2019-05-20 04:00:00+00:00,London Westminster,no2,26.0,µg/m³
+London,GB,2019-05-20 03:00:00+00:00,London Westminster,no2,32.0,µg/m³
+London,GB,2019-05-20 02:00:00+00:00,London Westminster,no2,32.0,µg/m³
+London,GB,2019-05-20 01:00:00+00:00,London Westminster,no2,28.0,µg/m³
+London,GB,2019-05-20 00:00:00+00:00,London Westminster,no2,28.0,µg/m³
+London,GB,2019-05-19 23:00:00+00:00,London Westminster,no2,32.0,µg/m³
+London,GB,2019-05-19 22:00:00+00:00,London Westminster,no2,32.0,µg/m³
+London,GB,2019-05-19 21:00:00+00:00,London Westminster,no2,32.0,µg/m³
+London,GB,2019-05-19 20:00:00+00:00,London Westminster,no2,32.0,µg/m³
+London,GB,2019-05-19 19:00:00+00:00,London Westminster,no2,30.0,µg/m³
+London,GB,2019-05-19 18:00:00+00:00,London Westminster,no2,29.0,µg/m³
+London,GB,2019-05-19 17:00:00+00:00,London Westminster,no2,27.0,µg/m³
+London,GB,2019-05-19 16:00:00+00:00,London Westminster,no2,28.0,µg/m³
+London,GB,2019-05-19 15:00:00+00:00,London Westminster,no2,29.0,µg/m³
+London,GB,2019-05-19 14:00:00+00:00,London Westminster,no2,31.0,µg/m³
+London,GB,2019-05-19 13:00:00+00:00,London Westminster,no2,27.0,µg/m³
+London,GB,2019-05-19 12:00:00+00:00,London Westminster,no2,25.0,µg/m³
+London,GB,2019-05-19 11:00:00+00:00,London Westminster,no2,28.0,µg/m³
+London,GB,2019-05-19 10:00:00+00:00,London Westminster,no2,27.0,µg/m³
+London,GB,2019-05-19 09:00:00+00:00,London Westminster,no2,30.0,µg/m³
+London,GB,2019-05-19 08:00:00+00:00,London Westminster,no2,33.0,µg/m³
+London,GB,2019-05-19 07:00:00+00:00,London Westminster,no2,36.0,µg/m³
+London,GB,2019-05-19 06:00:00+00:00,London Westminster,no2,38.0,µg/m³
+London,GB,2019-05-19 05:00:00+00:00,London Westminster,no2,49.0,µg/m³
+London,GB,2019-05-19 04:00:00+00:00,London Westminster,no2,49.0,µg/m³
+London,GB,2019-05-19 03:00:00+00:00,London Westminster,no2,49.0,µg/m³
+London,GB,2019-05-19 02:00:00+00:00,London Westminster,no2,49.0,µg/m³
+London,GB,2019-05-19 01:00:00+00:00,London Westminster,no2,49.0,µg/m³
+London,GB,2019-05-19 00:00:00+00:00,London Westminster,no2,49.0,µg/m³
+London,GB,2019-05-18 23:00:00+00:00,London Westminster,no2,46.0,µg/m³
+London,GB,2019-05-18 22:00:00+00:00,London Westminster,no2,46.0,µg/m³
+London,GB,2019-05-18 21:00:00+00:00,London Westminster,no2,41.0,µg/m³
+London,GB,2019-05-18 20:00:00+00:00,London Westminster,no2,35.0,µg/m³
+London,GB,2019-05-18 19:00:00+00:00,London Westminster,no2,36.0,µg/m³
+London,GB,2019-05-18 18:00:00+00:00,London Westminster,no2,42.0,µg/m³
+London,GB,2019-05-18 17:00:00+00:00,London Westminster,no2,42.0,µg/m³
+London,GB,2019-05-18 16:00:00+00:00,London Westminster,no2,30.0,µg/m³
+London,GB,2019-05-18 15:00:00+00:00,London Westminster,no2,28.0,µg/m³
+London,GB,2019-05-18 14:00:00+00:00,London Westminster,no2,27.0,µg/m³
+London,GB,2019-05-18 13:00:00+00:00,London Westminster,no2,29.0,µg/m³
+London,GB,2019-05-18 12:00:00+00:00,London Westminster,no2,38.0,µg/m³
+London,GB,2019-05-18 11:00:00+00:00,London Westminster,no2,34.0,µg/m³
+London,GB,2019-05-18 10:00:00+00:00,London Westminster,no2,35.0,µg/m³
+London,GB,2019-05-18 09:00:00+00:00,London Westminster,no2,32.0,µg/m³
+London,GB,2019-05-18 08:00:00+00:00,London Westminster,no2,35.0,µg/m³
+London,GB,2019-05-18 07:00:00+00:00,London Westminster,no2,29.0,µg/m³
+London,GB,2019-05-18 06:00:00+00:00,London Westminster,no2,27.0,µg/m³
+London,GB,2019-05-18 05:00:00+00:00,London Westminster,no2,29.0,µg/m³
+London,GB,2019-05-18 04:00:00+00:00,London Westminster,no2,29.0,µg/m³
+London,GB,2019-05-18 03:00:00+00:00,London Westminster,no2,31.0,µg/m³
+London,GB,2019-05-18 02:00:00+00:00,London Westminster,no2,31.0,µg/m³
+London,GB,2019-05-18 01:00:00+00:00,London Westminster,no2,31.0,µg/m³
+London,GB,2019-05-18 00:00:00+00:00,London Westminster,no2,31.0,µg/m³
+London,GB,2019-05-17 23:00:00+00:00,London Westminster,no2,35.0,µg/m³
+London,GB,2019-05-17 22:00:00+00:00,London Westminster,no2,35.0,µg/m³
+London,GB,2019-05-17 21:00:00+00:00,London Westminster,no2,36.0,µg/m³
+London,GB,2019-05-17 20:00:00+00:00,London Westminster,no2,36.0,µg/m³
+London,GB,2019-05-17 19:00:00+00:00,London Westminster,no2,36.0,µg/m³
+London,GB,2019-05-17 18:00:00+00:00,London Westminster,no2,31.0,µg/m³
+London,GB,2019-05-17 17:00:00+00:00,London Westminster,no2,29.0,µg/m³
+London,GB,2019-05-17 16:00:00+00:00,London Westminster,no2,30.0,µg/m³
+London,GB,2019-05-17 15:00:00+00:00,London Westminster,no2,32.0,µg/m³
+London,GB,2019-05-17 14:00:00+00:00,London Westminster,no2,31.0,µg/m³
+London,GB,2019-05-17 13:00:00+00:00,London Westminster,no2,29.0,µg/m³
+London,GB,2019-05-17 12:00:00+00:00,London Westminster,no2,30.0,µg/m³
+London,GB,2019-05-17 11:00:00+00:00,London Westminster,no2,30.0,µg/m³
+London,GB,2019-05-17 10:00:00+00:00,London Westminster,no2,30.0,µg/m³
+London,GB,2019-05-17 09:00:00+00:00,London Westminster,no2,29.0,µg/m³
+London,GB,2019-05-17 08:00:00+00:00,London Westminster,no2,27.0,µg/m³
+London,GB,2019-05-17 07:00:00+00:00,London Westminster,no2,27.0,µg/m³
+London,GB,2019-05-17 06:00:00+00:00,London Westminster,no2,25.0,µg/m³
+London,GB,2019-05-17 05:00:00+00:00,London Westminster,no2,21.0,µg/m³
+London,GB,2019-05-17 04:00:00+00:00,London Westminster,no2,21.0,µg/m³
+London,GB,2019-05-17 03:00:00+00:00,London Westminster,no2,21.0,µg/m³
+London,GB,2019-05-17 02:00:00+00:00,London Westminster,no2,21.0,µg/m³
+London,GB,2019-05-17 01:00:00+00:00,London Westminster,no2,23.0,µg/m³
+London,GB,2019-05-17 00:00:00+00:00,London Westminster,no2,23.0,µg/m³
+London,GB,2019-05-16 23:00:00+00:00,London Westminster,no2,25.0,µg/m³
+London,GB,2019-05-16 22:00:00+00:00,London Westminster,no2,25.0,µg/m³
+London,GB,2019-05-16 21:00:00+00:00,London Westminster,no2,25.0,µg/m³
+London,GB,2019-05-16 20:00:00+00:00,London Westminster,no2,26.0,µg/m³
+London,GB,2019-05-16 19:00:00+00:00,London Westminster,no2,27.0,µg/m³
+London,GB,2019-05-16 18:00:00+00:00,London Westminster,no2,25.0,µg/m³
+London,GB,2019-05-16 17:00:00+00:00,London Westminster,no2,30.0,µg/m³
+London,GB,2019-05-16 16:00:00+00:00,London Westminster,no2,29.0,µg/m³
+London,GB,2019-05-16 15:00:00+00:00,London Westminster,no2,26.0,µg/m³
+London,GB,2019-05-16 14:00:00+00:00,London Westminster,no2,27.0,µg/m³
+London,GB,2019-05-16 13:00:00+00:00,London Westminster,no2,27.0,µg/m³
+London,GB,2019-05-16 12:00:00+00:00,London Westminster,no2,30.0,µg/m³
+London,GB,2019-05-16 11:00:00+00:00,London Westminster,no2,33.0,µg/m³
+London,GB,2019-05-16 10:00:00+00:00,London Westminster,no2,31.0,µg/m³
+London,GB,2019-05-16 09:00:00+00:00,London Westminster,no2,32.0,µg/m³
+London,GB,2019-05-16 08:00:00+00:00,London Westminster,no2,33.0,µg/m³
+London,GB,2019-05-16 07:00:00+00:00,London Westminster,no2,34.0,µg/m³
+London,GB,2019-05-16 06:00:00+00:00,London Westminster,no2,33.0,µg/m³
+London,GB,2019-05-16 05:00:00+00:00,London Westminster,no2,26.0,µg/m³
+London,GB,2019-05-16 04:00:00+00:00,London Westminster,no2,26.0,µg/m³
+London,GB,2019-05-16 03:00:00+00:00,London Westminster,no2,28.0,µg/m³
+London,GB,2019-05-16 02:00:00+00:00,London Westminster,no2,28.0,µg/m³
+London,GB,2019-05-16 01:00:00+00:00,London Westminster,no2,33.0,µg/m³
+London,GB,2019-05-16 00:00:00+00:00,London Westminster,no2,33.0,µg/m³
+London,GB,2019-05-15 23:00:00+00:00,London Westminster,no2,33.0,µg/m³
+London,GB,2019-05-15 22:00:00+00:00,London Westminster,no2,33.0,µg/m³
+London,GB,2019-05-15 21:00:00+00:00,London Westminster,no2,32.0,µg/m³
+London,GB,2019-05-15 20:00:00+00:00,London Westminster,no2,31.0,µg/m³
+London,GB,2019-05-15 19:00:00+00:00,London Westminster,no2,33.0,µg/m³
+London,GB,2019-05-15 18:00:00+00:00,London Westminster,no2,35.0,µg/m³
+London,GB,2019-05-15 17:00:00+00:00,London Westminster,no2,33.0,µg/m³
+London,GB,2019-05-15 16:00:00+00:00,London Westminster,no2,38.0,µg/m³
+London,GB,2019-05-15 15:00:00+00:00,London Westminster,no2,38.0,µg/m³
+London,GB,2019-05-15 14:00:00+00:00,London Westminster,no2,30.0,µg/m³
+London,GB,2019-05-15 13:00:00+00:00,London Westminster,no2,31.0,µg/m³
+London,GB,2019-05-15 12:00:00+00:00,London Westminster,no2,30.0,µg/m³
+London,GB,2019-05-15 11:00:00+00:00,London Westminster,no2,35.0,µg/m³
+London,GB,2019-05-15 10:00:00+00:00,London Westminster,no2,36.0,µg/m³
+London,GB,2019-05-15 09:00:00+00:00,London Westminster,no2,35.0,µg/m³
+London,GB,2019-05-15 08:00:00+00:00,London Westminster,no2,34.0,µg/m³
+London,GB,2019-05-15 07:00:00+00:00,London Westminster,no2,33.0,µg/m³
+London,GB,2019-05-15 06:00:00+00:00,London Westminster,no2,33.0,µg/m³
+London,GB,2019-05-15 05:00:00+00:00,London Westminster,no2,25.0,µg/m³
+London,GB,2019-05-15 04:00:00+00:00,London Westminster,no2,25.0,µg/m³
+London,GB,2019-05-15 03:00:00+00:00,London Westminster,no2,22.0,µg/m³
+London,GB,2019-05-15 02:00:00+00:00,London Westminster,no2,22.0,µg/m³
+London,GB,2019-05-15 00:00:00+00:00,London Westminster,no2,22.0,µg/m³
+London,GB,2019-05-14 23:00:00+00:00,London Westminster,no2,26.0,µg/m³
+London,GB,2019-05-14 22:00:00+00:00,London Westminster,no2,26.0,µg/m³
+London,GB,2019-05-14 21:00:00+00:00,London Westminster,no2,25.0,µg/m³
+London,GB,2019-05-14 20:00:00+00:00,London Westminster,no2,27.0,µg/m³
+London,GB,2019-05-14 19:00:00+00:00,London Westminster,no2,28.0,µg/m³
+London,GB,2019-05-14 18:00:00+00:00,London Westminster,no2,30.0,µg/m³
+London,GB,2019-05-14 17:00:00+00:00,London Westminster,no2,33.0,µg/m³
+London,GB,2019-05-14 16:00:00+00:00,London Westminster,no2,32.0,µg/m³
+London,GB,2019-05-14 15:00:00+00:00,London Westminster,no2,29.0,µg/m³
+London,GB,2019-05-14 14:00:00+00:00,London Westminster,no2,25.0,µg/m³
+London,GB,2019-05-14 13:00:00+00:00,London Westminster,no2,25.0,µg/m³
+London,GB,2019-05-14 12:00:00+00:00,London Westminster,no2,25.0,µg/m³
+London,GB,2019-05-14 11:00:00+00:00,London Westminster,no2,27.0,µg/m³
+London,GB,2019-05-14 10:00:00+00:00,London Westminster,no2,31.0,µg/m³
+London,GB,2019-05-14 09:00:00+00:00,London Westminster,no2,30.0,µg/m³
+London,GB,2019-05-14 08:00:00+00:00,London Westminster,no2,33.0,µg/m³
+London,GB,2019-05-14 07:00:00+00:00,London Westminster,no2,34.0,µg/m³
+London,GB,2019-05-14 06:00:00+00:00,London Westminster,no2,33.0,µg/m³
+London,GB,2019-05-14 05:00:00+00:00,London Westminster,no2,30.0,µg/m³
+London,GB,2019-05-14 04:00:00+00:00,London Westminster,no2,30.0,µg/m³
+London,GB,2019-05-14 03:00:00+00:00,London Westminster,no2,26.0,µg/m³
+London,GB,2019-05-14 02:00:00+00:00,London Westminster,no2,26.0,µg/m³
+London,GB,2019-05-14 01:00:00+00:00,London Westminster,no2,23.0,µg/m³
+London,GB,2019-05-14 00:00:00+00:00,London Westminster,no2,23.0,µg/m³
+London,GB,2019-05-13 23:00:00+00:00,London Westminster,no2,31.0,µg/m³
+London,GB,2019-05-13 22:00:00+00:00,London Westminster,no2,31.0,µg/m³
+London,GB,2019-05-13 21:00:00+00:00,London Westminster,no2,31.0,µg/m³
+London,GB,2019-05-13 20:00:00+00:00,London Westminster,no2,31.0,µg/m³
+London,GB,2019-05-13 19:00:00+00:00,London Westminster,no2,31.0,µg/m³
+London,GB,2019-05-13 18:00:00+00:00,London Westminster,no2,30.0,µg/m³
+London,GB,2019-05-13 17:00:00+00:00,London Westminster,no2,30.0,µg/m³
+London,GB,2019-05-13 16:00:00+00:00,London Westminster,no2,29.0,µg/m³
+London,GB,2019-05-13 15:00:00+00:00,London Westminster,no2,28.0,µg/m³
+London,GB,2019-05-13 14:00:00+00:00,London Westminster,no2,26.0,µg/m³
+London,GB,2019-05-13 13:00:00+00:00,London Westminster,no2,25.0,µg/m³
+London,GB,2019-05-13 12:00:00+00:00,London Westminster,no2,24.0,µg/m³
+London,GB,2019-05-13 11:00:00+00:00,London Westminster,no2,26.0,µg/m³
+London,GB,2019-05-13 10:00:00+00:00,London Westminster,no2,27.0,µg/m³
+London,GB,2019-05-13 09:00:00+00:00,London Westminster,no2,29.0,µg/m³
+London,GB,2019-05-13 08:00:00+00:00,London Westminster,no2,31.0,µg/m³
+London,GB,2019-05-13 07:00:00+00:00,London Westminster,no2,39.0,µg/m³
+London,GB,2019-05-13 06:00:00+00:00,London Westminster,no2,39.0,µg/m³
+London,GB,2019-05-13 05:00:00+00:00,London Westminster,no2,33.0,µg/m³
+London,GB,2019-05-13 04:00:00+00:00,London Westminster,no2,33.0,µg/m³
+London,GB,2019-05-13 03:00:00+00:00,London Westminster,no2,24.0,µg/m³
+London,GB,2019-05-13 02:00:00+00:00,London Westminster,no2,24.0,µg/m³
+London,GB,2019-05-13 01:00:00+00:00,London Westminster,no2,22.0,µg/m³
+London,GB,2019-05-13 00:00:00+00:00,London Westminster,no2,22.0,µg/m³
+London,GB,2019-05-12 23:00:00+00:00,London Westminster,no2,22.0,µg/m³
+London,GB,2019-05-12 22:00:00+00:00,London Westminster,no2,22.0,µg/m³
+London,GB,2019-05-12 21:00:00+00:00,London Westminster,no2,21.0,µg/m³
+London,GB,2019-05-12 20:00:00+00:00,London Westminster,no2,22.0,µg/m³
+London,GB,2019-05-12 19:00:00+00:00,London Westminster,no2,22.0,µg/m³
+London,GB,2019-05-12 18:00:00+00:00,London Westminster,no2,22.0,µg/m³
+London,GB,2019-05-12 17:00:00+00:00,London Westminster,no2,24.0,µg/m³
+London,GB,2019-05-12 16:00:00+00:00,London Westminster,no2,23.0,µg/m³
+London,GB,2019-05-12 15:00:00+00:00,London Westminster,no2,22.0,µg/m³
+London,GB,2019-05-12 14:00:00+00:00,London Westminster,no2,21.0,µg/m³
+London,GB,2019-05-12 13:00:00+00:00,London Westminster,no2,19.0,µg/m³
+London,GB,2019-05-12 12:00:00+00:00,London Westminster,no2,20.0,µg/m³
+London,GB,2019-05-12 11:00:00+00:00,London Westminster,no2,21.0,µg/m³
+London,GB,2019-05-12 10:00:00+00:00,London Westminster,no2,26.0,µg/m³
+London,GB,2019-05-12 09:00:00+00:00,London Westminster,no2,26.0,µg/m³
+London,GB,2019-05-12 08:00:00+00:00,London Westminster,no2,32.0,µg/m³
+London,GB,2019-05-12 07:00:00+00:00,London Westminster,no2,44.0,µg/m³
+London,GB,2019-05-12 06:00:00+00:00,London Westminster,no2,38.0,µg/m³
+London,GB,2019-05-12 05:00:00+00:00,London Westminster,no2,36.0,µg/m³
+London,GB,2019-05-12 04:00:00+00:00,London Westminster,no2,36.0,µg/m³
+London,GB,2019-05-12 03:00:00+00:00,London Westminster,no2,38.0,µg/m³
+London,GB,2019-05-12 02:00:00+00:00,London Westminster,no2,38.0,µg/m³
+London,GB,2019-05-12 01:00:00+00:00,London Westminster,no2,35.0,µg/m³
+London,GB,2019-05-12 00:00:00+00:00,London Westminster,no2,35.0,µg/m³
+London,GB,2019-05-11 23:00:00+00:00,London Westminster,no2,37.0,µg/m³
+London,GB,2019-05-11 22:00:00+00:00,London Westminster,no2,37.0,µg/m³
+London,GB,2019-05-11 21:00:00+00:00,London Westminster,no2,34.0,µg/m³
+London,GB,2019-05-11 20:00:00+00:00,London Westminster,no2,33.0,µg/m³
+London,GB,2019-05-11 19:00:00+00:00,London Westminster,no2,33.0,µg/m³
+London,GB,2019-05-11 18:00:00+00:00,London Westminster,no2,31.0,µg/m³
+London,GB,2019-05-11 17:00:00+00:00,London Westminster,no2,28.0,µg/m³
+London,GB,2019-05-11 16:00:00+00:00,London Westminster,no2,26.0,µg/m³
+London,GB,2019-05-11 15:00:00+00:00,London Westminster,no2,28.0,µg/m³
+London,GB,2019-05-11 09:00:00+00:00,London Westminster,no2,30.0,µg/m³
+London,GB,2019-05-11 08:00:00+00:00,London Westminster,no2,27.0,µg/m³
+London,GB,2019-05-11 07:00:00+00:00,London Westminster,no2,30.0,µg/m³
+London,GB,2019-05-11 06:00:00+00:00,London Westminster,no2,30.0,µg/m³
+London,GB,2019-05-11 05:00:00+00:00,London Westminster,no2,35.0,µg/m³
+London,GB,2019-05-11 04:00:00+00:00,London Westminster,no2,35.0,µg/m³
+London,GB,2019-05-11 03:00:00+00:00,London Westminster,no2,32.0,µg/m³
+London,GB,2019-05-11 02:00:00+00:00,London Westminster,no2,32.0,µg/m³
+London,GB,2019-05-11 01:00:00+00:00,London Westminster,no2,27.0,µg/m³
+London,GB,2019-05-11 00:00:00+00:00,London Westminster,no2,27.0,µg/m³
+London,GB,2019-05-10 23:00:00+00:00,London Westminster,no2,31.0,µg/m³
+London,GB,2019-05-10 22:00:00+00:00,London Westminster,no2,31.0,µg/m³
+London,GB,2019-05-10 21:00:00+00:00,London Westminster,no2,29.0,µg/m³
+London,GB,2019-05-10 20:00:00+00:00,London Westminster,no2,29.0,µg/m³
+London,GB,2019-05-10 19:00:00+00:00,London Westminster,no2,29.0,µg/m³
+London,GB,2019-05-10 18:00:00+00:00,London Westminster,no2,26.0,µg/m³
+London,GB,2019-05-10 17:00:00+00:00,London Westminster,no2,26.0,µg/m³
+London,GB,2019-05-10 16:00:00+00:00,London Westminster,no2,24.0,µg/m³
+London,GB,2019-05-10 15:00:00+00:00,London Westminster,no2,25.0,µg/m³
+London,GB,2019-05-10 14:00:00+00:00,London Westminster,no2,25.0,µg/m³
+London,GB,2019-05-10 13:00:00+00:00,London Westminster,no2,26.0,µg/m³
+London,GB,2019-05-10 12:00:00+00:00,London Westminster,no2,28.0,µg/m³
+London,GB,2019-05-10 11:00:00+00:00,London Westminster,no2,29.0,µg/m³
+London,GB,2019-05-10 10:00:00+00:00,London Westminster,no2,31.0,µg/m³
+London,GB,2019-05-10 09:00:00+00:00,London Westminster,no2,34.0,µg/m³
+London,GB,2019-05-10 08:00:00+00:00,London Westminster,no2,39.0,µg/m³
+London,GB,2019-05-10 07:00:00+00:00,London Westminster,no2,36.0,µg/m³
+London,GB,2019-05-10 06:00:00+00:00,London Westminster,no2,39.0,µg/m³
+London,GB,2019-05-10 05:00:00+00:00,London Westminster,no2,40.0,µg/m³
+London,GB,2019-05-10 04:00:00+00:00,London Westminster,no2,40.0,µg/m³
+London,GB,2019-05-10 03:00:00+00:00,London Westminster,no2,41.0,µg/m³
+London,GB,2019-05-10 02:00:00+00:00,London Westminster,no2,41.0,µg/m³
+London,GB,2019-05-10 01:00:00+00:00,London Westminster,no2,52.0,µg/m³
+London,GB,2019-05-10 00:00:00+00:00,London Westminster,no2,52.0,µg/m³
+London,GB,2019-05-09 23:00:00+00:00,London Westminster,no2,59.0,µg/m³
+London,GB,2019-05-09 22:00:00+00:00,London Westminster,no2,59.0,µg/m³
+London,GB,2019-05-09 21:00:00+00:00,London Westminster,no2,65.0,µg/m³
+London,GB,2019-05-09 20:00:00+00:00,London Westminster,no2,59.0,µg/m³
+London,GB,2019-05-09 19:00:00+00:00,London Westminster,no2,62.0,µg/m³
+London,GB,2019-05-09 18:00:00+00:00,London Westminster,no2,58.0,µg/m³
+London,GB,2019-05-09 17:00:00+00:00,London Westminster,no2,60.0,µg/m³
+London,GB,2019-05-09 16:00:00+00:00,London Westminster,no2,67.0,µg/m³
+London,GB,2019-05-09 15:00:00+00:00,London Westminster,no2,97.0,µg/m³
+London,GB,2019-05-09 14:00:00+00:00,London Westminster,no2,34.0,µg/m³
+London,GB,2019-05-09 13:00:00+00:00,London Westminster,no2,27.0,µg/m³
+London,GB,2019-05-09 12:00:00+00:00,London Westminster,no2,30.0,µg/m³
+London,GB,2019-05-09 11:00:00+00:00,London Westminster,no2,27.0,µg/m³
+London,GB,2019-05-09 10:00:00+00:00,London Westminster,no2,28.0,µg/m³
+London,GB,2019-05-09 09:00:00+00:00,London Westminster,no2,36.0,µg/m³
+London,GB,2019-05-09 08:00:00+00:00,London Westminster,no2,35.0,µg/m³
+London,GB,2019-05-09 07:00:00+00:00,London Westminster,no2,33.0,µg/m³
+London,GB,2019-05-09 06:00:00+00:00,London Westminster,no2,33.0,µg/m³
+London,GB,2019-05-09 05:00:00+00:00,London Westminster,no2,33.0,µg/m³
+London,GB,2019-05-09 04:00:00+00:00,London Westminster,no2,33.0,µg/m³
+London,GB,2019-05-09 03:00:00+00:00,London Westminster,no2,31.0,µg/m³
+London,GB,2019-05-09 02:00:00+00:00,London Westminster,no2,31.0,µg/m³
+London,GB,2019-05-09 00:00:00+00:00,London Westminster,no2,30.0,µg/m³
+London,GB,2019-05-08 23:00:00+00:00,London Westminster,no2,25.0,µg/m³
+London,GB,2019-05-08 21:00:00+00:00,London Westminster,no2,26.0,µg/m³
+London,GB,2019-05-08 20:00:00+00:00,London Westminster,no2,29.0,µg/m³
+London,GB,2019-05-08 19:00:00+00:00,London Westminster,no2,25.0,µg/m³
+London,GB,2019-05-08 18:00:00+00:00,London Westminster,no2,40.0,µg/m³
+London,GB,2019-05-08 17:00:00+00:00,London Westminster,no2,31.0,µg/m³
+London,GB,2019-05-08 16:00:00+00:00,London Westminster,no2,28.0,µg/m³
+London,GB,2019-05-08 15:00:00+00:00,London Westminster,no2,27.0,µg/m³
+London,GB,2019-05-08 14:00:00+00:00,London Westminster,no2,24.0,µg/m³
+London,GB,2019-05-08 13:00:00+00:00,London Westminster,no2,26.0,µg/m³
+London,GB,2019-05-08 12:00:00+00:00,London Westminster,no2,26.0,µg/m³
+London,GB,2019-05-08 11:00:00+00:00,London Westminster,no2,27.0,µg/m³
+London,GB,2019-05-08 10:00:00+00:00,London Westminster,no2,28.0,µg/m³
+London,GB,2019-05-08 09:00:00+00:00,London Westminster,no2,33.0,µg/m³
+London,GB,2019-05-08 08:00:00+00:00,London Westminster,no2,36.0,µg/m³
+London,GB,2019-05-08 07:00:00+00:00,London Westminster,no2,34.0,µg/m³
+London,GB,2019-05-08 06:00:00+00:00,London Westminster,no2,29.0,µg/m³
+London,GB,2019-05-08 05:00:00+00:00,London Westminster,no2,19.0,µg/m³
+London,GB,2019-05-08 04:00:00+00:00,London Westminster,no2,19.0,µg/m³
+London,GB,2019-05-08 03:00:00+00:00,London Westminster,no2,20.0,µg/m³
+London,GB,2019-05-08 02:00:00+00:00,London Westminster,no2,20.0,µg/m³
+London,GB,2019-05-08 01:00:00+00:00,London Westminster,no2,19.0,µg/m³
+London,GB,2019-05-08 00:00:00+00:00,London Westminster,no2,19.0,µg/m³
+London,GB,2019-05-07 23:00:00+00:00,London Westminster,no2,24.0,µg/m³
+London,GB,2019-05-07 21:00:00+00:00,London Westminster,no2,24.0,µg/m³
+London,GB,2019-05-07 20:00:00+00:00,London Westminster,no2,24.0,µg/m³
+London,GB,2019-05-07 19:00:00+00:00,London Westminster,no2,20.0,µg/m³
+London,GB,2019-05-07 18:00:00+00:00,London Westminster,no2,20.0,µg/m³
+London,GB,2019-05-07 17:00:00+00:00,London Westminster,no2,21.0,µg/m³
+London,GB,2019-05-07 16:00:00+00:00,London Westminster,no2,20.0,µg/m³
+London,GB,2019-05-07 15:00:00+00:00,London Westminster,no2,20.0,µg/m³
+London,GB,2019-05-07 14:00:00+00:00,London Westminster,no2,18.0,µg/m³
+London,GB,2019-05-07 13:00:00+00:00,London Westminster,no2,20.0,µg/m³
+London,GB,2019-05-07 12:00:00+00:00,London Westminster,no2,18.0,µg/m³
+London,GB,2019-05-07 11:00:00+00:00,London Westminster,no2,21.0,µg/m³
+London,GB,2019-05-07 10:00:00+00:00,London Westminster,no2,21.0,µg/m³
+London,GB,2019-05-07 09:00:00+00:00,London Westminster,no2,28.0,µg/m³
+London,GB,2019-05-07 08:00:00+00:00,London Westminster,no2,32.0,µg/m³
+London,GB,2019-05-07 07:00:00+00:00,London Westminster,no2,32.0,µg/m³
+London,GB,2019-05-07 06:00:00+00:00,London Westminster,no2,26.0,µg/m³
+London,GB,2019-05-07 04:00:00+00:00,London Westminster,no2,16.0,µg/m³
+London,GB,2019-05-07 03:00:00+00:00,London Westminster,no2,19.0,µg/m³
+London,GB,2019-05-07 02:00:00+00:00,London Westminster,no2,19.0,µg/m³
+London,GB,2019-05-07 01:00:00+00:00,London Westminster,no2,23.0,µg/m³
+London,GB,2019-05-06 23:00:00+00:00,London Westminster,no2,26.0,µg/m³
+London,GB,2019-05-06 22:00:00+00:00,London Westminster,no2,26.0,µg/m³
+London,GB,2019-05-06 21:00:00+00:00,London Westminster,no2,26.0,µg/m³
+London,GB,2019-05-06 20:00:00+00:00,London Westminster,no2,21.0,µg/m³
+London,GB,2019-05-06 19:00:00+00:00,London Westminster,no2,21.0,µg/m³
+London,GB,2019-05-06 18:00:00+00:00,London Westminster,no2,19.0,µg/m³
+London,GB,2019-05-06 17:00:00+00:00,London Westminster,no2,19.0,µg/m³
+London,GB,2019-05-06 16:00:00+00:00,London Westminster,no2,19.0,µg/m³
+London,GB,2019-05-06 15:00:00+00:00,London Westminster,no2,17.0,µg/m³
+London,GB,2019-05-06 14:00:00+00:00,London Westminster,no2,17.0,µg/m³
+London,GB,2019-05-06 13:00:00+00:00,London Westminster,no2,19.0,µg/m³
+London,GB,2019-05-06 12:00:00+00:00,London Westminster,no2,20.0,µg/m³
+London,GB,2019-05-06 11:00:00+00:00,London Westminster,no2,23.0,µg/m³
+London,GB,2019-05-06 10:00:00+00:00,London Westminster,no2,22.0,µg/m³
+London,GB,2019-05-06 09:00:00+00:00,London Westminster,no2,21.0,µg/m³
+London,GB,2019-05-06 08:00:00+00:00,London Westminster,no2,21.0,µg/m³
+London,GB,2019-05-06 07:00:00+00:00,London Westminster,no2,22.0,µg/m³
+London,GB,2019-05-06 06:00:00+00:00,London Westminster,no2,21.0,µg/m³
+London,GB,2019-05-06 05:00:00+00:00,London Westminster,no2,17.0,µg/m³
+London,GB,2019-05-06 04:00:00+00:00,London Westminster,no2,17.0,µg/m³
+London,GB,2019-05-06 03:00:00+00:00,London Westminster,no2,19.0,µg/m³
+London,GB,2019-05-06 02:00:00+00:00,London Westminster,no2,19.0,µg/m³
+London,GB,2019-05-06 01:00:00+00:00,London Westminster,no2,24.0,µg/m³
+London,GB,2019-05-06 00:00:00+00:00,London Westminster,no2,24.0,µg/m³
+London,GB,2019-05-05 23:00:00+00:00,London Westminster,no2,26.0,µg/m³
+London,GB,2019-05-05 22:00:00+00:00,London Westminster,no2,26.0,µg/m³
+London,GB,2019-05-05 21:00:00+00:00,London Westminster,no2,24.0,µg/m³
+London,GB,2019-05-05 20:00:00+00:00,London Westminster,no2,24.0,µg/m³
+London,GB,2019-05-05 19:00:00+00:00,London Westminster,no2,23.0,µg/m³
+London,GB,2019-05-05 18:00:00+00:00,London Westminster,no2,22.0,µg/m³
+London,GB,2019-05-05 17:00:00+00:00,London Westminster,no2,17.0,µg/m³
+London,GB,2019-05-05 16:00:00+00:00,London Westminster,no2,19.0,µg/m³
+London,GB,2019-05-05 15:00:00+00:00,London Westminster,no2,17.0,µg/m³
+London,GB,2019-05-05 14:00:00+00:00,London Westminster,no2,17.0,µg/m³
+London,GB,2019-05-05 13:00:00+00:00,London Westminster,no2,18.0,µg/m³
+London,GB,2019-05-05 12:00:00+00:00,London Westminster,no2,19.0,µg/m³
+London,GB,2019-05-05 11:00:00+00:00,London Westminster,no2,19.0,µg/m³
+London,GB,2019-05-05 10:00:00+00:00,London Westminster,no2,20.0,µg/m³
+London,GB,2019-05-05 09:00:00+00:00,London Westminster,no2,18.0,µg/m³
+London,GB,2019-05-05 08:00:00+00:00,London Westminster,no2,19.0,µg/m³
+London,GB,2019-05-05 07:00:00+00:00,London Westminster,no2,20.0,µg/m³
+London,GB,2019-05-05 06:00:00+00:00,London Westminster,no2,20.0,µg/m³
+London,GB,2019-05-05 05:00:00+00:00,London Westminster,no2,18.0,µg/m³
+London,GB,2019-05-05 04:00:00+00:00,London Westminster,no2,18.0,µg/m³
+London,GB,2019-05-05 03:00:00+00:00,London Westminster,no2,20.0,µg/m³
+London,GB,2019-05-05 02:00:00+00:00,London Westminster,no2,20.0,µg/m³
+London,GB,2019-05-05 01:00:00+00:00,London Westminster,no2,23.0,µg/m³
+London,GB,2019-05-05 00:00:00+00:00,London Westminster,no2,23.0,µg/m³
+London,GB,2019-05-04 23:00:00+00:00,London Westminster,no2,28.0,µg/m³
+London,GB,2019-05-04 22:00:00+00:00,London Westminster,no2,28.0,µg/m³
+London,GB,2019-05-04 21:00:00+00:00,London Westminster,no2,29.0,µg/m³
+London,GB,2019-05-04 20:00:00+00:00,London Westminster,no2,28.0,µg/m³
+London,GB,2019-05-04 19:00:00+00:00,London Westminster,no2,26.0,µg/m³
+London,GB,2019-05-04 18:00:00+00:00,London Westminster,no2,21.0,µg/m³
+London,GB,2019-05-04 17:00:00+00:00,London Westminster,no2,21.0,µg/m³
+London,GB,2019-05-04 16:00:00+00:00,London Westminster,no2,19.0,µg/m³
+London,GB,2019-05-04 15:00:00+00:00,London Westminster,no2,18.0,µg/m³
+London,GB,2019-05-04 14:00:00+00:00,London Westminster,no2,17.0,µg/m³
+London,GB,2019-05-04 13:00:00+00:00,London Westminster,no2,18.0,µg/m³
+London,GB,2019-05-04 12:00:00+00:00,London Westminster,no2,18.0,µg/m³
+London,GB,2019-05-04 11:00:00+00:00,London Westminster,no2,17.0,µg/m³
+London,GB,2019-05-04 10:00:00+00:00,London Westminster,no2,18.0,µg/m³
+London,GB,2019-05-04 09:00:00+00:00,London Westminster,no2,18.0,µg/m³
+London,GB,2019-05-04 08:00:00+00:00,London Westminster,no2,18.0,µg/m³
+London,GB,2019-05-04 07:00:00+00:00,London Westminster,no2,19.0,µg/m³
+London,GB,2019-05-04 06:00:00+00:00,London Westminster,no2,20.0,µg/m³
+London,GB,2019-05-04 05:00:00+00:00,London Westminster,no2,19.0,µg/m³
+London,GB,2019-05-04 04:00:00+00:00,London Westminster,no2,19.0,µg/m³
+London,GB,2019-05-04 03:00:00+00:00,London Westminster,no2,21.0,µg/m³
+London,GB,2019-05-04 02:00:00+00:00,London Westminster,no2,21.0,µg/m³
+London,GB,2019-05-04 01:00:00+00:00,London Westminster,no2,24.0,µg/m³
+London,GB,2019-05-04 00:00:00+00:00,London Westminster,no2,24.0,µg/m³
+London,GB,2019-05-03 23:00:00+00:00,London Westminster,no2,29.0,µg/m³
+London,GB,2019-05-03 22:00:00+00:00,London Westminster,no2,29.0,µg/m³
+London,GB,2019-05-03 21:00:00+00:00,London Westminster,no2,29.0,µg/m³
+London,GB,2019-05-03 20:00:00+00:00,London Westminster,no2,31.0,µg/m³
+London,GB,2019-05-03 19:00:00+00:00,London Westminster,no2,35.0,µg/m³
+London,GB,2019-05-03 18:00:00+00:00,London Westminster,no2,36.0,µg/m³
+London,GB,2019-05-03 17:00:00+00:00,London Westminster,no2,33.0,µg/m³
+London,GB,2019-05-03 16:00:00+00:00,London Westminster,no2,30.0,µg/m³
+London,GB,2019-05-03 15:00:00+00:00,London Westminster,no2,34.0,µg/m³
+London,GB,2019-05-03 14:00:00+00:00,London Westminster,no2,35.0,µg/m³
+London,GB,2019-05-03 13:00:00+00:00,London Westminster,no2,37.0,µg/m³
+London,GB,2019-05-03 12:00:00+00:00,London Westminster,no2,38.0,µg/m³
+London,GB,2019-05-03 11:00:00+00:00,London Westminster,no2,43.0,µg/m³
+London,GB,2019-05-03 10:00:00+00:00,London Westminster,no2,46.0,µg/m³
+London,GB,2019-05-03 09:00:00+00:00,London Westminster,no2,47.0,µg/m³
+London,GB,2019-05-03 08:00:00+00:00,London Westminster,no2,37.0,µg/m³
+London,GB,2019-05-03 07:00:00+00:00,London Westminster,no2,29.0,µg/m³
+London,GB,2019-05-03 06:00:00+00:00,London Westminster,no2,32.0,µg/m³
+London,GB,2019-05-03 05:00:00+00:00,London Westminster,no2,30.0,µg/m³
+London,GB,2019-05-03 04:00:00+00:00,London Westminster,no2,30.0,µg/m³
+London,GB,2019-05-03 03:00:00+00:00,London Westminster,no2,30.0,µg/m³
+London,GB,2019-05-03 02:00:00+00:00,London Westminster,no2,30.0,µg/m³
+London,GB,2019-05-03 01:00:00+00:00,London Westminster,no2,31.0,µg/m³
+London,GB,2019-05-03 00:00:00+00:00,London Westminster,no2,31.0,µg/m³
+London,GB,2019-05-02 23:00:00+00:00,London Westminster,no2,41.0,µg/m³
+London,GB,2019-05-02 22:00:00+00:00,London Westminster,no2,41.0,µg/m³
+London,GB,2019-05-02 21:00:00+00:00,London Westminster,no2,45.0,µg/m³
+London,GB,2019-05-02 20:00:00+00:00,London Westminster,no2,45.0,µg/m³
+London,GB,2019-05-02 19:00:00+00:00,London Westminster,no2,40.0,µg/m³
+London,GB,2019-05-02 18:00:00+00:00,London Westminster,no2,35.0,µg/m³
+London,GB,2019-05-02 17:00:00+00:00,London Westminster,no2,37.0,µg/m³
+London,GB,2019-05-02 16:00:00+00:00,London Westminster,no2,32.0,µg/m³
+London,GB,2019-05-02 15:00:00+00:00,London Westminster,no2,31.0,µg/m³
+London,GB,2019-05-02 14:00:00+00:00,London Westminster,no2,28.0,µg/m³
+London,GB,2019-05-02 13:00:00+00:00,London Westminster,no2,27.0,µg/m³
+London,GB,2019-05-02 12:00:00+00:00,London Westminster,no2,32.0,µg/m³
+London,GB,2019-05-02 11:00:00+00:00,London Westminster,no2,28.0,µg/m³
+London,GB,2019-05-02 10:00:00+00:00,London Westminster,no2,28.0,µg/m³
+London,GB,2019-05-02 09:00:00+00:00,London Westminster,no2,31.0,µg/m³
+London,GB,2019-05-02 08:00:00+00:00,London Westminster,no2,35.0,µg/m³
+London,GB,2019-05-02 07:00:00+00:00,London Westminster,no2,33.0,µg/m³
+London,GB,2019-05-02 06:00:00+00:00,London Westminster,no2,28.0,µg/m³
+London,GB,2019-05-02 05:00:00+00:00,London Westminster,no2,25.0,µg/m³
+London,GB,2019-05-02 04:00:00+00:00,London Westminster,no2,25.0,µg/m³
+London,GB,2019-05-02 03:00:00+00:00,London Westminster,no2,27.0,µg/m³
+London,GB,2019-05-02 02:00:00+00:00,London Westminster,no2,27.0,µg/m³
+London,GB,2019-05-02 01:00:00+00:00,London Westminster,no2,31.0,µg/m³
+London,GB,2019-05-02 00:00:00+00:00,London Westminster,no2,31.0,µg/m³
+London,GB,2019-05-01 23:00:00+00:00,London Westminster,no2,36.0,µg/m³
+London,GB,2019-05-01 22:00:00+00:00,London Westminster,no2,36.0,µg/m³
+London,GB,2019-05-01 21:00:00+00:00,London Westminster,no2,35.0,µg/m³
+London,GB,2019-05-01 20:00:00+00:00,London Westminster,no2,37.0,µg/m³
+London,GB,2019-05-01 19:00:00+00:00,London Westminster,no2,38.0,µg/m³
+London,GB,2019-05-01 18:00:00+00:00,London Westminster,no2,35.0,µg/m³
+London,GB,2019-05-01 17:00:00+00:00,London Westminster,no2,37.0,µg/m³
+London,GB,2019-05-01 16:00:00+00:00,London Westminster,no2,34.0,µg/m³
+London,GB,2019-05-01 15:00:00+00:00,London Westminster,no2,36.0,µg/m³
+London,GB,2019-05-01 14:00:00+00:00,London Westminster,no2,35.0,µg/m³
+London,GB,2019-05-01 13:00:00+00:00,London Westminster,no2,36.0,µg/m³
+London,GB,2019-05-01 12:00:00+00:00,London Westminster,no2,37.0,µg/m³
+London,GB,2019-05-01 11:00:00+00:00,London Westminster,no2,35.0,µg/m³
+London,GB,2019-05-01 10:00:00+00:00,London Westminster,no2,33.0,µg/m³
+London,GB,2019-05-01 09:00:00+00:00,London Westminster,no2,34.0,µg/m³
+London,GB,2019-05-01 08:00:00+00:00,London Westminster,no2,35.0,µg/m³
+London,GB,2019-05-01 07:00:00+00:00,London Westminster,no2,32.0,µg/m³
+London,GB,2019-05-01 06:00:00+00:00,London Westminster,no2,30.0,µg/m³
+London,GB,2019-05-01 05:00:00+00:00,London Westminster,no2,29.0,µg/m³
+London,GB,2019-05-01 04:00:00+00:00,London Westminster,no2,29.0,µg/m³
+London,GB,2019-05-01 03:00:00+00:00,London Westminster,no2,26.0,µg/m³
+London,GB,2019-05-01 00:00:00+00:00,London Westminster,no2,25.0,µg/m³
+London,GB,2019-04-30 23:00:00+00:00,London Westminster,no2,38.0,µg/m³
+London,GB,2019-04-30 22:00:00+00:00,London Westminster,no2,38.0,µg/m³
+London,GB,2019-04-30 21:00:00+00:00,London Westminster,no2,40.0,µg/m³
+London,GB,2019-04-30 20:00:00+00:00,London Westminster,no2,43.0,µg/m³
+London,GB,2019-04-30 19:00:00+00:00,London Westminster,no2,42.0,µg/m³
+London,GB,2019-04-30 18:00:00+00:00,London Westminster,no2,40.0,µg/m³
+London,GB,2019-04-30 17:00:00+00:00,London Westminster,no2,37.0,µg/m³
+London,GB,2019-04-30 16:00:00+00:00,London Westminster,no2,34.0,µg/m³
+London,GB,2019-04-30 15:00:00+00:00,London Westminster,no2,29.0,µg/m³
+London,GB,2019-04-30 14:00:00+00:00,London Westminster,no2,27.0,µg/m³
+London,GB,2019-04-30 13:00:00+00:00,London Westminster,no2,28.0,µg/m³
+London,GB,2019-04-30 12:00:00+00:00,London Westminster,no2,30.0,µg/m³
+London,GB,2019-04-30 11:00:00+00:00,London Westminster,no2,36.0,µg/m³
+London,GB,2019-04-30 10:00:00+00:00,London Westminster,no2,37.0,µg/m³
+London,GB,2019-04-30 09:00:00+00:00,London Westminster,no2,37.0,µg/m³
+London,GB,2019-04-30 08:00:00+00:00,London Westminster,no2,33.0,µg/m³
+London,GB,2019-04-30 07:00:00+00:00,London Westminster,no2,30.0,µg/m³
+London,GB,2019-04-30 06:00:00+00:00,London Westminster,no2,26.0,µg/m³
+London,GB,2019-04-30 05:00:00+00:00,London Westminster,no2,38.0,µg/m³
+London,GB,2019-04-30 04:00:00+00:00,London Westminster,no2,38.0,µg/m³
+London,GB,2019-04-30 03:00:00+00:00,London Westminster,no2,38.0,µg/m³
+London,GB,2019-04-30 02:00:00+00:00,London Westminster,no2,38.0,µg/m³
+London,GB,2019-04-30 01:00:00+00:00,London Westminster,no2,36.0,µg/m³
+London,GB,2019-04-30 00:00:00+00:00,London Westminster,no2,36.0,µg/m³
+London,GB,2019-04-29 23:00:00+00:00,London Westminster,no2,39.0,µg/m³
+London,GB,2019-04-29 22:00:00+00:00,London Westminster,no2,39.0,µg/m³
+London,GB,2019-04-29 21:00:00+00:00,London Westminster,no2,41.0,µg/m³
+London,GB,2019-04-29 20:00:00+00:00,London Westminster,no2,38.0,µg/m³
+London,GB,2019-04-29 19:00:00+00:00,London Westminster,no2,37.0,µg/m³
+London,GB,2019-04-29 18:00:00+00:00,London Westminster,no2,37.0,µg/m³
+London,GB,2019-04-29 17:00:00+00:00,London Westminster,no2,36.0,µg/m³
+London,GB,2019-04-29 16:00:00+00:00,London Westminster,no2,37.0,µg/m³
+London,GB,2019-04-29 15:00:00+00:00,London Westminster,no2,31.0,µg/m³
+London,GB,2019-04-29 14:00:00+00:00,London Westminster,no2,31.0,µg/m³
+London,GB,2019-04-29 13:00:00+00:00,London Westminster,no2,30.0,µg/m³
+London,GB,2019-04-29 12:00:00+00:00,London Westminster,no2,33.0,µg/m³
+London,GB,2019-04-29 11:00:00+00:00,London Westminster,no2,35.0,µg/m³
+London,GB,2019-04-29 10:00:00+00:00,London Westminster,no2,38.0,µg/m³
+London,GB,2019-04-29 09:00:00+00:00,London Westminster,no2,40.0,µg/m³
+London,GB,2019-04-29 08:00:00+00:00,London Westminster,no2,41.0,µg/m³
+London,GB,2019-04-29 07:00:00+00:00,London Westminster,no2,39.0,µg/m³
+London,GB,2019-04-29 06:00:00+00:00,London Westminster,no2,31.0,µg/m³
+London,GB,2019-04-29 05:00:00+00:00,London Westminster,no2,26.0,µg/m³
+London,GB,2019-04-29 04:00:00+00:00,London Westminster,no2,26.0,µg/m³
+London,GB,2019-04-29 03:00:00+00:00,London Westminster,no2,28.0,µg/m³
+London,GB,2019-04-29 02:00:00+00:00,London Westminster,no2,28.0,µg/m³
+London,GB,2019-04-29 01:00:00+00:00,London Westminster,no2,24.0,µg/m³
+London,GB,2019-04-29 00:00:00+00:00,London Westminster,no2,24.0,µg/m³
+London,GB,2019-04-28 23:00:00+00:00,London Westminster,no2,31.0,µg/m³
+London,GB,2019-04-28 22:00:00+00:00,London Westminster,no2,31.0,µg/m³
+London,GB,2019-04-28 21:00:00+00:00,London Westminster,no2,28.0,µg/m³
+London,GB,2019-04-28 20:00:00+00:00,London Westminster,no2,29.0,µg/m³
+London,GB,2019-04-28 19:00:00+00:00,London Westminster,no2,28.0,µg/m³
+London,GB,2019-04-28 18:00:00+00:00,London Westminster,no2,27.0,µg/m³
+London,GB,2019-04-28 17:00:00+00:00,London Westminster,no2,24.0,µg/m³
+London,GB,2019-04-28 16:00:00+00:00,London Westminster,no2,23.0,µg/m³
+London,GB,2019-04-28 15:00:00+00:00,London Westminster,no2,23.0,µg/m³
+London,GB,2019-04-28 14:00:00+00:00,London Westminster,no2,24.0,µg/m³
+London,GB,2019-04-28 13:00:00+00:00,London Westminster,no2,23.0,µg/m³
+London,GB,2019-04-28 12:00:00+00:00,London Westminster,no2,23.0,µg/m³
+London,GB,2019-04-28 11:00:00+00:00,London Westminster,no2,23.0,µg/m³
+London,GB,2019-04-28 10:00:00+00:00,London Westminster,no2,21.0,µg/m³
+London,GB,2019-04-28 09:00:00+00:00,London Westminster,no2,18.0,µg/m³
+London,GB,2019-04-27 13:00:00+00:00,London Westminster,no2,22.0,µg/m³
+London,GB,2019-04-27 12:00:00+00:00,London Westminster,no2,19.0,µg/m³
+London,GB,2019-04-27 11:00:00+00:00,London Westminster,no2,20.0,µg/m³
+London,GB,2019-04-27 10:00:00+00:00,London Westminster,no2,20.0,µg/m³
+London,GB,2019-04-27 09:00:00+00:00,London Westminster,no2,18.0,µg/m³
+London,GB,2019-04-27 08:00:00+00:00,London Westminster,no2,15.0,µg/m³
+London,GB,2019-04-27 07:00:00+00:00,London Westminster,no2,14.0,µg/m³
+London,GB,2019-04-27 06:00:00+00:00,London Westminster,no2,14.0,µg/m³
+London,GB,2019-04-27 05:00:00+00:00,London Westminster,no2,15.0,µg/m³
+London,GB,2019-04-27 04:00:00+00:00,London Westminster,no2,15.0,µg/m³
+London,GB,2019-04-27 03:00:00+00:00,London Westminster,no2,17.0,µg/m³
+London,GB,2019-04-27 02:00:00+00:00,London Westminster,no2,17.0,µg/m³
+London,GB,2019-04-27 00:00:00+00:00,London Westminster,no2,15.0,µg/m³
+London,GB,2019-04-26 23:00:00+00:00,London Westminster,no2,17.0,µg/m³
+London,GB,2019-04-26 22:00:00+00:00,London Westminster,no2,17.0,µg/m³
+London,GB,2019-04-26 21:00:00+00:00,London Westminster,no2,18.0,µg/m³
+London,GB,2019-04-26 20:00:00+00:00,London Westminster,no2,19.0,µg/m³
+London,GB,2019-04-26 19:00:00+00:00,London Westminster,no2,19.0,µg/m³
+London,GB,2019-04-26 18:00:00+00:00,London Westminster,no2,20.0,µg/m³
+London,GB,2019-04-26 17:00:00+00:00,London Westminster,no2,22.0,µg/m³
+London,GB,2019-04-26 16:00:00+00:00,London Westminster,no2,20.0,µg/m³
+London,GB,2019-04-26 15:00:00+00:00,London Westminster,no2,21.0,µg/m³
+London,GB,2019-04-26 14:00:00+00:00,London Westminster,no2,21.0,µg/m³
+London,GB,2019-04-26 13:00:00+00:00,London Westminster,no2,20.0,µg/m³
+London,GB,2019-04-26 12:00:00+00:00,London Westminster,no2,21.0,µg/m³
+London,GB,2019-04-26 11:00:00+00:00,London Westminster,no2,22.0,µg/m³
+London,GB,2019-04-26 10:00:00+00:00,London Westminster,no2,24.0,µg/m³
+London,GB,2019-04-26 09:00:00+00:00,London Westminster,no2,27.0,µg/m³
+London,GB,2019-04-26 08:00:00+00:00,London Westminster,no2,29.0,µg/m³
+London,GB,2019-04-26 07:00:00+00:00,London Westminster,no2,33.0,µg/m³
+London,GB,2019-04-26 06:00:00+00:00,London Westminster,no2,36.0,µg/m³
+London,GB,2019-04-26 05:00:00+00:00,London Westminster,no2,24.0,µg/m³
+London,GB,2019-04-26 04:00:00+00:00,London Westminster,no2,24.0,µg/m³
+London,GB,2019-04-26 03:00:00+00:00,London Westminster,no2,23.0,µg/m³
+London,GB,2019-04-26 02:00:00+00:00,London Westminster,no2,23.0,µg/m³
+London,GB,2019-04-26 01:00:00+00:00,London Westminster,no2,27.0,µg/m³
+London,GB,2019-04-26 00:00:00+00:00,London Westminster,no2,27.0,µg/m³
+London,GB,2019-04-25 23:00:00+00:00,London Westminster,no2,26.0,µg/m³
+London,GB,2019-04-25 22:00:00+00:00,London Westminster,no2,26.0,µg/m³
+London,GB,2019-04-25 21:00:00+00:00,London Westminster,no2,25.0,µg/m³
+London,GB,2019-04-25 20:00:00+00:00,London Westminster,no2,24.0,µg/m³
+London,GB,2019-04-25 19:00:00+00:00,London Westminster,no2,20.0,µg/m³
+London,GB,2019-04-25 18:00:00+00:00,London Westminster,no2,21.0,µg/m³
+London,GB,2019-04-25 17:00:00+00:00,London Westminster,no2,21.0,µg/m³
+London,GB,2019-04-25 16:00:00+00:00,London Westminster,no2,21.0,µg/m³
+London,GB,2019-04-25 15:00:00+00:00,London Westminster,no2,19.0,µg/m³
+London,GB,2019-04-25 14:00:00+00:00,London Westminster,no2,21.0,µg/m³
+London,GB,2019-04-25 13:00:00+00:00,London Westminster,no2,22.0,µg/m³
+London,GB,2019-04-25 12:00:00+00:00,London Westminster,no2,23.0,µg/m³
+London,GB,2019-04-25 11:00:00+00:00,London Westminster,no2,26.0,µg/m³
+London,GB,2019-04-25 10:00:00+00:00,London Westminster,no2,26.0,µg/m³
+London,GB,2019-04-25 09:00:00+00:00,London Westminster,no2,26.0,µg/m³
+London,GB,2019-04-25 08:00:00+00:00,London Westminster,no2,28.0,µg/m³
+London,GB,2019-04-25 07:00:00+00:00,London Westminster,no2,29.0,µg/m³
+London,GB,2019-04-25 06:00:00+00:00,London Westminster,no2,28.0,µg/m³
+London,GB,2019-04-25 05:00:00+00:00,London Westminster,no2,19.0,µg/m³
+London,GB,2019-04-25 04:00:00+00:00,London Westminster,no2,19.0,µg/m³
+London,GB,2019-04-25 03:00:00+00:00,London Westminster,no2,19.0,µg/m³
+London,GB,2019-04-25 02:00:00+00:00,London Westminster,no2,19.0,µg/m³
+London,GB,2019-04-25 00:00:00+00:00,London Westminster,no2,24.0,µg/m³
+London,GB,2019-04-24 23:00:00+00:00,London Westminster,no2,26.0,µg/m³
+London,GB,2019-04-24 22:00:00+00:00,London Westminster,no2,26.0,µg/m³
+London,GB,2019-04-24 21:00:00+00:00,London Westminster,no2,26.0,µg/m³
+London,GB,2019-04-24 20:00:00+00:00,London Westminster,no2,28.0,µg/m³
+London,GB,2019-04-24 19:00:00+00:00,London Westminster,no2,28.0,µg/m³
+London,GB,2019-04-24 18:00:00+00:00,London Westminster,no2,27.0,µg/m³
+London,GB,2019-04-24 17:00:00+00:00,London Westminster,no2,27.0,µg/m³
+London,GB,2019-04-24 16:00:00+00:00,London Westminster,no2,28.0,µg/m³
+London,GB,2019-04-24 15:00:00+00:00,London Westminster,no2,28.0,µg/m³
+London,GB,2019-04-24 14:00:00+00:00,London Westminster,no2,30.0,µg/m³
+London,GB,2019-04-24 13:00:00+00:00,London Westminster,no2,33.0,µg/m³
+London,GB,2019-04-24 12:00:00+00:00,London Westminster,no2,33.0,µg/m³
+London,GB,2019-04-24 11:00:00+00:00,London Westminster,no2,37.0,µg/m³
+London,GB,2019-04-24 10:00:00+00:00,London Westminster,no2,53.0,µg/m³
+London,GB,2019-04-24 09:00:00+00:00,London Westminster,no2,59.0,µg/m³
+London,GB,2019-04-24 08:00:00+00:00,London Westminster,no2,54.0,µg/m³
+London,GB,2019-04-24 07:00:00+00:00,London Westminster,no2,50.0,µg/m³
+London,GB,2019-04-24 06:00:00+00:00,London Westminster,no2,50.0,µg/m³
+London,GB,2019-04-24 05:00:00+00:00,London Westminster,no2,45.0,µg/m³
+London,GB,2019-04-24 04:00:00+00:00,London Westminster,no2,45.0,µg/m³
+London,GB,2019-04-24 03:00:00+00:00,London Westminster,no2,60.0,µg/m³
+London,GB,2019-04-24 02:00:00+00:00,London Westminster,no2,60.0,µg/m³
+London,GB,2019-04-24 00:00:00+00:00,London Westminster,no2,55.0,µg/m³
+London,GB,2019-04-23 23:00:00+00:00,London Westminster,no2,53.0,µg/m³
+London,GB,2019-04-23 22:00:00+00:00,London Westminster,no2,53.0,µg/m³
+London,GB,2019-04-23 21:00:00+00:00,London Westminster,no2,55.0,µg/m³
+London,GB,2019-04-23 20:00:00+00:00,London Westminster,no2,50.0,µg/m³
+London,GB,2019-04-23 19:00:00+00:00,London Westminster,no2,48.0,µg/m³
+London,GB,2019-04-23 18:00:00+00:00,London Westminster,no2,55.0,µg/m³
+London,GB,2019-04-23 17:00:00+00:00,London Westminster,no2,62.0,µg/m³
+London,GB,2019-04-23 16:00:00+00:00,London Westminster,no2,53.0,µg/m³
+London,GB,2019-04-23 15:00:00+00:00,London Westminster,no2,53.0,µg/m³
+London,GB,2019-04-23 14:00:00+00:00,London Westminster,no2,50.0,µg/m³
+London,GB,2019-04-23 13:00:00+00:00,London Westminster,no2,54.0,µg/m³
+London,GB,2019-04-23 12:00:00+00:00,London Westminster,no2,67.0,µg/m³
+London,GB,2019-04-23 11:00:00+00:00,London Westminster,no2,67.0,µg/m³
+London,GB,2019-04-23 10:00:00+00:00,London Westminster,no2,63.0,µg/m³
+London,GB,2019-04-23 09:00:00+00:00,London Westminster,no2,61.0,µg/m³
+London,GB,2019-04-23 08:00:00+00:00,London Westminster,no2,63.0,µg/m³
+London,GB,2019-04-23 07:00:00+00:00,London Westminster,no2,62.0,µg/m³
+London,GB,2019-04-23 06:00:00+00:00,London Westminster,no2,52.0,µg/m³
+London,GB,2019-04-23 05:00:00+00:00,London Westminster,no2,52.0,µg/m³
+London,GB,2019-04-23 04:00:00+00:00,London Westminster,no2,52.0,µg/m³
+London,GB,2019-04-23 03:00:00+00:00,London Westminster,no2,51.0,µg/m³
+London,GB,2019-04-23 02:00:00+00:00,London Westminster,no2,51.0,µg/m³
+London,GB,2019-04-23 01:00:00+00:00,London Westminster,no2,75.0,µg/m³
+London,GB,2019-04-23 00:00:00+00:00,London Westminster,no2,75.0,µg/m³
+London,GB,2019-04-22 23:00:00+00:00,London Westminster,no2,84.0,µg/m³
+London,GB,2019-04-22 22:00:00+00:00,London Westminster,no2,84.0,µg/m³
+London,GB,2019-04-22 21:00:00+00:00,London Westminster,no2,73.0,µg/m³
+London,GB,2019-04-22 20:00:00+00:00,London Westminster,no2,66.0,µg/m³
+London,GB,2019-04-22 19:00:00+00:00,London Westminster,no2,66.0,µg/m³
+London,GB,2019-04-22 18:00:00+00:00,London Westminster,no2,64.0,µg/m³
+London,GB,2019-04-22 17:00:00+00:00,London Westminster,no2,57.0,µg/m³
+London,GB,2019-04-22 16:00:00+00:00,London Westminster,no2,57.0,µg/m³
+London,GB,2019-04-22 15:00:00+00:00,London Westminster,no2,52.0,µg/m³
+London,GB,2019-04-22 14:00:00+00:00,London Westminster,no2,41.0,µg/m³
+London,GB,2019-04-22 13:00:00+00:00,London Westminster,no2,39.0,µg/m³
+London,GB,2019-04-22 12:00:00+00:00,London Westminster,no2,46.0,µg/m³
+London,GB,2019-04-22 11:00:00+00:00,London Westminster,no2,49.0,µg/m³
+London,GB,2019-04-22 10:00:00+00:00,London Westminster,no2,49.0,µg/m³
+London,GB,2019-04-22 09:00:00+00:00,London Westminster,no2,48.0,µg/m³
+London,GB,2019-04-22 08:00:00+00:00,London Westminster,no2,45.0,µg/m³
+London,GB,2019-04-22 07:00:00+00:00,London Westminster,no2,53.0,µg/m³
+London,GB,2019-04-22 06:00:00+00:00,London Westminster,no2,44.0,µg/m³
+London,GB,2019-04-22 05:00:00+00:00,London Westminster,no2,41.0,µg/m³
+London,GB,2019-04-22 04:00:00+00:00,London Westminster,no2,41.0,µg/m³
+London,GB,2019-04-22 03:00:00+00:00,London Westminster,no2,39.0,µg/m³
+London,GB,2019-04-22 02:00:00+00:00,London Westminster,no2,39.0,µg/m³
+London,GB,2019-04-22 01:00:00+00:00,London Westminster,no2,46.0,µg/m³
+London,GB,2019-04-22 00:00:00+00:00,London Westminster,no2,46.0,µg/m³
+London,GB,2019-04-21 23:00:00+00:00,London Westminster,no2,46.0,µg/m³
+London,GB,2019-04-21 22:00:00+00:00,London Westminster,no2,46.0,µg/m³
+London,GB,2019-04-21 21:00:00+00:00,London Westminster,no2,42.0,µg/m³
+London,GB,2019-04-21 20:00:00+00:00,London Westminster,no2,39.0,µg/m³
+London,GB,2019-04-21 19:00:00+00:00,London Westminster,no2,38.0,µg/m³
+London,GB,2019-04-21 18:00:00+00:00,London Westminster,no2,40.0,µg/m³
+London,GB,2019-04-21 17:00:00+00:00,London Westminster,no2,45.0,µg/m³
+London,GB,2019-04-21 16:00:00+00:00,London Westminster,no2,45.0,µg/m³
+London,GB,2019-04-21 15:00:00+00:00,London Westminster,no2,42.0,µg/m³
+London,GB,2019-04-21 14:00:00+00:00,London Westminster,no2,41.0,µg/m³
+London,GB,2019-04-21 13:00:00+00:00,London Westminster,no2,41.0,µg/m³
+London,GB,2019-04-21 12:00:00+00:00,London Westminster,no2,45.0,µg/m³
+London,GB,2019-04-21 11:00:00+00:00,London Westminster,no2,46.0,µg/m³
+London,GB,2019-04-21 10:00:00+00:00,London Westminster,no2,46.0,µg/m³
+London,GB,2019-04-21 09:00:00+00:00,London Westminster,no2,43.0,µg/m³
+London,GB,2019-04-21 08:00:00+00:00,London Westminster,no2,38.0,µg/m³
+London,GB,2019-04-21 07:00:00+00:00,London Westminster,no2,38.0,µg/m³
+London,GB,2019-04-21 06:00:00+00:00,London Westminster,no2,36.0,µg/m³
+London,GB,2019-04-21 05:00:00+00:00,London Westminster,no2,41.0,µg/m³
+London,GB,2019-04-21 04:00:00+00:00,London Westminster,no2,41.0,µg/m³
+London,GB,2019-04-21 03:00:00+00:00,London Westminster,no2,57.0,µg/m³
+London,GB,2019-04-21 02:00:00+00:00,London Westminster,no2,57.0,µg/m³
+London,GB,2019-04-21 01:00:00+00:00,London Westminster,no2,54.0,µg/m³
+London,GB,2019-04-21 00:00:00+00:00,London Westminster,no2,54.0,µg/m³
+London,GB,2019-04-20 23:00:00+00:00,London Westminster,no2,52.0,µg/m³
+London,GB,2019-04-20 22:00:00+00:00,London Westminster,no2,52.0,µg/m³
+London,GB,2019-04-20 21:00:00+00:00,London Westminster,no2,50.0,µg/m³
+London,GB,2019-04-20 20:00:00+00:00,London Westminster,no2,49.0,µg/m³
+London,GB,2019-04-20 19:00:00+00:00,London Westminster,no2,52.0,µg/m³
+London,GB,2019-04-20 18:00:00+00:00,London Westminster,no2,53.0,µg/m³
+London,GB,2019-04-20 17:00:00+00:00,London Westminster,no2,51.0,µg/m³
+London,GB,2019-04-20 16:00:00+00:00,London Westminster,no2,48.0,µg/m³
+London,GB,2019-04-20 15:00:00+00:00,London Westminster,no2,46.0,µg/m³
+London,GB,2019-04-20 14:00:00+00:00,London Westminster,no2,41.0,µg/m³
+London,GB,2019-04-20 13:00:00+00:00,London Westminster,no2,38.0,µg/m³
+London,GB,2019-04-20 12:00:00+00:00,London Westminster,no2,40.0,µg/m³
+London,GB,2019-04-20 11:00:00+00:00,London Westminster,no2,45.0,µg/m³
+London,GB,2019-04-20 10:00:00+00:00,London Westminster,no2,37.0,µg/m³
+London,GB,2019-04-20 09:00:00+00:00,London Westminster,no2,37.0,µg/m³
+London,GB,2019-04-20 08:00:00+00:00,London Westminster,no2,37.0,µg/m³
+London,GB,2019-04-20 07:00:00+00:00,London Westminster,no2,34.0,µg/m³
+London,GB,2019-04-20 06:00:00+00:00,London Westminster,no2,33.0,µg/m³
+London,GB,2019-04-20 05:00:00+00:00,London Westminster,no2,32.0,µg/m³
+London,GB,2019-04-20 04:00:00+00:00,London Westminster,no2,32.0,µg/m³
+London,GB,2019-04-20 03:00:00+00:00,London Westminster,no2,44.0,µg/m³
+London,GB,2019-04-20 02:00:00+00:00,London Westminster,no2,44.0,µg/m³
+London,GB,2019-04-20 01:00:00+00:00,London Westminster,no2,59.0,µg/m³
+London,GB,2019-04-20 00:00:00+00:00,London Westminster,no2,59.0,µg/m³
+London,GB,2019-04-19 23:00:00+00:00,London Westminster,no2,77.0,µg/m³
+London,GB,2019-04-19 22:00:00+00:00,London Westminster,no2,77.0,µg/m³
+London,GB,2019-04-19 21:00:00+00:00,London Westminster,no2,57.0,µg/m³
+London,GB,2019-04-19 20:00:00+00:00,London Westminster,no2,58.0,µg/m³
+London,GB,2019-04-19 19:00:00+00:00,London Westminster,no2,53.0,µg/m³
+London,GB,2019-04-19 18:00:00+00:00,London Westminster,no2,49.0,µg/m³
+London,GB,2019-04-19 17:00:00+00:00,London Westminster,no2,47.0,µg/m³
+London,GB,2019-04-19 16:00:00+00:00,London Westminster,no2,42.0,µg/m³
+London,GB,2019-04-19 15:00:00+00:00,London Westminster,no2,42.0,µg/m³
+London,GB,2019-04-19 14:00:00+00:00,London Westminster,no2,40.0,µg/m³
+London,GB,2019-04-19 13:00:00+00:00,London Westminster,no2,40.0,µg/m³
+London,GB,2019-04-19 12:00:00+00:00,London Westminster,no2,42.0,µg/m³
+London,GB,2019-04-19 11:00:00+00:00,London Westminster,no2,41.0,µg/m³
+London,GB,2019-04-19 10:00:00+00:00,London Westminster,no2,44.0,µg/m³
+London,GB,2019-04-19 09:00:00+00:00,London Westminster,no2,45.0,µg/m³
+London,GB,2019-04-19 08:00:00+00:00,London Westminster,no2,49.0,µg/m³
+London,GB,2019-04-19 07:00:00+00:00,London Westminster,no2,45.0,µg/m³
+London,GB,2019-04-19 06:00:00+00:00,London Westminster,no2,44.0,µg/m³
+London,GB,2019-04-19 05:00:00+00:00,London Westminster,no2,43.0,µg/m³
+London,GB,2019-04-19 04:00:00+00:00,London Westminster,no2,43.0,µg/m³
+London,GB,2019-04-19 03:00:00+00:00,London Westminster,no2,52.0,µg/m³
+London,GB,2019-04-19 02:00:00+00:00,London Westminster,no2,52.0,µg/m³
+London,GB,2019-04-19 00:00:00+00:00,London Westminster,no2,58.0,µg/m³
+London,GB,2019-04-18 23:00:00+00:00,London Westminster,no2,61.0,µg/m³
+London,GB,2019-04-18 22:00:00+00:00,London Westminster,no2,61.0,µg/m³
+London,GB,2019-04-18 21:00:00+00:00,London Westminster,no2,60.0,µg/m³
+London,GB,2019-04-18 20:00:00+00:00,London Westminster,no2,69.0,µg/m³
+London,GB,2019-04-18 19:00:00+00:00,London Westminster,no2,63.0,µg/m³
+London,GB,2019-04-18 18:00:00+00:00,London Westminster,no2,63.0,µg/m³
+London,GB,2019-04-18 17:00:00+00:00,London Westminster,no2,56.0,µg/m³
+London,GB,2019-04-18 16:00:00+00:00,London Westminster,no2,57.0,µg/m³
+London,GB,2019-04-18 15:00:00+00:00,London Westminster,no2,51.0,µg/m³
+London,GB,2019-04-18 14:00:00+00:00,London Westminster,no2,50.0,µg/m³
+London,GB,2019-04-18 13:00:00+00:00,London Westminster,no2,49.0,µg/m³
+London,GB,2019-04-18 12:00:00+00:00,London Westminster,no2,51.0,µg/m³
+London,GB,2019-04-18 11:00:00+00:00,London Westminster,no2,53.0,µg/m³
+London,GB,2019-04-18 10:00:00+00:00,London Westminster,no2,56.0,µg/m³
+London,GB,2019-04-18 09:00:00+00:00,London Westminster,no2,53.0,µg/m³
+London,GB,2019-04-18 08:00:00+00:00,London Westminster,no2,50.0,µg/m³
+London,GB,2019-04-18 07:00:00+00:00,London Westminster,no2,50.0,µg/m³
+London,GB,2019-04-18 06:00:00+00:00,London Westminster,no2,51.0,µg/m³
+London,GB,2019-04-18 05:00:00+00:00,London Westminster,no2,55.0,µg/m³
+London,GB,2019-04-18 04:00:00+00:00,London Westminster,no2,55.0,µg/m³
+London,GB,2019-04-18 03:00:00+00:00,London Westminster,no2,50.0,µg/m³
+London,GB,2019-04-18 02:00:00+00:00,London Westminster,no2,50.0,µg/m³
+London,GB,2019-04-18 01:00:00+00:00,London Westminster,no2,50.0,µg/m³
+London,GB,2019-04-18 00:00:00+00:00,London Westminster,no2,50.0,µg/m³
+London,GB,2019-04-17 23:00:00+00:00,London Westminster,no2,55.0,µg/m³
+London,GB,2019-04-17 22:00:00+00:00,London Westminster,no2,55.0,µg/m³
+London,GB,2019-04-17 21:00:00+00:00,London Westminster,no2,54.0,µg/m³
+London,GB,2019-04-17 20:00:00+00:00,London Westminster,no2,60.0,µg/m³
+London,GB,2019-04-17 19:00:00+00:00,London Westminster,no2,46.0,µg/m³
+London,GB,2019-04-17 18:00:00+00:00,London Westminster,no2,52.0,µg/m³
+London,GB,2019-04-17 17:00:00+00:00,London Westminster,no2,54.0,µg/m³
+London,GB,2019-04-17 16:00:00+00:00,London Westminster,no2,57.0,µg/m³
+London,GB,2019-04-17 15:00:00+00:00,London Westminster,no2,53.0,µg/m³
+London,GB,2019-04-17 14:00:00+00:00,London Westminster,no2,53.0,µg/m³
+London,GB,2019-04-17 13:00:00+00:00,London Westminster,no2,50.0,µg/m³
+London,GB,2019-04-17 12:00:00+00:00,London Westminster,no2,60.0,µg/m³
+London,GB,2019-04-17 11:00:00+00:00,London Westminster,no2,67.0,µg/m³
+London,GB,2019-04-17 10:00:00+00:00,London Westminster,no2,56.0,µg/m³
+London,GB,2019-04-17 09:00:00+00:00,London Westminster,no2,50.0,µg/m³
+London,GB,2019-04-17 08:00:00+00:00,London Westminster,no2,48.0,µg/m³
+London,GB,2019-04-17 07:00:00+00:00,London Westminster,no2,51.0,µg/m³
+London,GB,2019-04-17 06:00:00+00:00,London Westminster,no2,51.0,µg/m³
+London,GB,2019-04-17 05:00:00+00:00,London Westminster,no2,50.0,µg/m³
+London,GB,2019-04-17 04:00:00+00:00,London Westminster,no2,50.0,µg/m³
+London,GB,2019-04-17 03:00:00+00:00,London Westminster,no2,72.0,µg/m³
+London,GB,2019-04-17 02:00:00+00:00,London Westminster,no2,72.0,µg/m³
+London,GB,2019-04-17 00:00:00+00:00,London Westminster,no2,71.0,µg/m³
+London,GB,2019-04-16 23:00:00+00:00,London Westminster,no2,81.0,µg/m³
+London,GB,2019-04-16 22:00:00+00:00,London Westminster,no2,81.0,µg/m³
+London,GB,2019-04-16 21:00:00+00:00,London Westminster,no2,84.0,µg/m³
+London,GB,2019-04-16 20:00:00+00:00,London Westminster,no2,83.0,µg/m³
+London,GB,2019-04-16 19:00:00+00:00,London Westminster,no2,76.0,µg/m³
+London,GB,2019-04-16 18:00:00+00:00,London Westminster,no2,70.0,µg/m³
+London,GB,2019-04-16 17:00:00+00:00,London Westminster,no2,65.0,µg/m³
+London,GB,2019-04-16 15:00:00+00:00,London Westminster,no2,49.0,µg/m³
+London,GB,2019-04-16 14:00:00+00:00,London Westminster,no2,57.0,µg/m³
+London,GB,2019-04-16 13:00:00+00:00,London Westminster,no2,63.0,µg/m³
+London,GB,2019-04-16 12:00:00+00:00,London Westminster,no2,75.0,µg/m³
+London,GB,2019-04-16 11:00:00+00:00,London Westminster,no2,79.0,µg/m³
+London,GB,2019-04-16 10:00:00+00:00,London Westminster,no2,70.0,µg/m³
+London,GB,2019-04-16 09:00:00+00:00,London Westminster,no2,66.0,µg/m³
+London,GB,2019-04-16 08:00:00+00:00,London Westminster,no2,59.0,µg/m³
+London,GB,2019-04-16 07:00:00+00:00,London Westminster,no2,55.0,µg/m³
+London,GB,2019-04-16 06:00:00+00:00,London Westminster,no2,54.0,µg/m³
+London,GB,2019-04-16 05:00:00+00:00,London Westminster,no2,46.0,µg/m³
+London,GB,2019-04-16 04:00:00+00:00,London Westminster,no2,46.0,µg/m³
+London,GB,2019-04-16 03:00:00+00:00,London Westminster,no2,45.0,µg/m³
+London,GB,2019-04-16 02:00:00+00:00,London Westminster,no2,45.0,µg/m³
+London,GB,2019-04-16 00:00:00+00:00,London Westminster,no2,45.0,µg/m³
+London,GB,2019-04-15 23:00:00+00:00,London Westminster,no2,47.0,µg/m³
+London,GB,2019-04-15 22:00:00+00:00,London Westminster,no2,47.0,µg/m³
+London,GB,2019-04-15 21:00:00+00:00,London Westminster,no2,49.0,µg/m³
+London,GB,2019-04-15 20:00:00+00:00,London Westminster,no2,48.0,µg/m³
+London,GB,2019-04-15 19:00:00+00:00,London Westminster,no2,46.0,µg/m³
+London,GB,2019-04-15 18:00:00+00:00,London Westminster,no2,48.0,µg/m³
+London,GB,2019-04-15 17:00:00+00:00,London Westminster,no2,47.0,µg/m³
+London,GB,2019-04-15 16:00:00+00:00,London Westminster,no2,45.0,µg/m³
+London,GB,2019-04-15 15:00:00+00:00,London Westminster,no2,42.0,µg/m³
+London,GB,2019-04-15 14:00:00+00:00,London Westminster,no2,40.0,µg/m³
+London,GB,2019-04-15 13:00:00+00:00,London Westminster,no2,30.0,µg/m³
+London,GB,2019-04-15 12:00:00+00:00,London Westminster,no2,27.0,µg/m³
+London,GB,2019-04-15 11:00:00+00:00,London Westminster,no2,30.0,µg/m³
+London,GB,2019-04-15 10:00:00+00:00,London Westminster,no2,32.0,µg/m³
+London,GB,2019-04-15 09:00:00+00:00,London Westminster,no2,42.0,µg/m³
+London,GB,2019-04-15 08:00:00+00:00,London Westminster,no2,46.0,µg/m³
+London,GB,2019-04-15 07:00:00+00:00,London Westminster,no2,46.0,µg/m³
+London,GB,2019-04-15 06:00:00+00:00,London Westminster,no2,45.0,µg/m³
+London,GB,2019-04-15 05:00:00+00:00,London Westminster,no2,34.0,µg/m³
+London,GB,2019-04-15 04:00:00+00:00,London Westminster,no2,34.0,µg/m³
+London,GB,2019-04-15 03:00:00+00:00,London Westminster,no2,32.0,µg/m³
+London,GB,2019-04-15 02:00:00+00:00,London Westminster,no2,32.0,µg/m³
+London,GB,2019-04-15 01:00:00+00:00,London Westminster,no2,39.0,µg/m³
+London,GB,2019-04-15 00:00:00+00:00,London Westminster,no2,39.0,µg/m³
+London,GB,2019-04-14 23:00:00+00:00,London Westminster,no2,32.0,µg/m³
+London,GB,2019-04-14 22:00:00+00:00,London Westminster,no2,32.0,µg/m³
+London,GB,2019-04-14 21:00:00+00:00,London Westminster,no2,30.0,µg/m³
+London,GB,2019-04-14 20:00:00+00:00,London Westminster,no2,26.0,µg/m³
+London,GB,2019-04-14 19:00:00+00:00,London Westminster,no2,23.0,µg/m³
+London,GB,2019-04-14 18:00:00+00:00,London Westminster,no2,23.0,µg/m³
+London,GB,2019-04-14 17:00:00+00:00,London Westminster,no2,23.0,µg/m³
+London,GB,2019-04-14 16:00:00+00:00,London Westminster,no2,23.0,µg/m³
+London,GB,2019-04-14 15:00:00+00:00,London Westminster,no2,21.0,µg/m³
+London,GB,2019-04-14 14:00:00+00:00,London Westminster,no2,19.0,µg/m³
+London,GB,2019-04-14 13:00:00+00:00,London Westminster,no2,24.0,µg/m³
+London,GB,2019-04-14 12:00:00+00:00,London Westminster,no2,29.0,µg/m³
+London,GB,2019-04-14 11:00:00+00:00,London Westminster,no2,24.0,µg/m³
+London,GB,2019-04-14 10:00:00+00:00,London Westminster,no2,25.0,µg/m³
+London,GB,2019-04-14 09:00:00+00:00,London Westminster,no2,27.0,µg/m³
+London,GB,2019-04-14 08:00:00+00:00,London Westminster,no2,36.0,µg/m³
+London,GB,2019-04-14 07:00:00+00:00,London Westminster,no2,38.0,µg/m³
+London,GB,2019-04-14 06:00:00+00:00,London Westminster,no2,35.0,µg/m³
+London,GB,2019-04-14 05:00:00+00:00,London Westminster,no2,25.0,µg/m³
+London,GB,2019-04-14 04:00:00+00:00,London Westminster,no2,25.0,µg/m³
+London,GB,2019-04-14 03:00:00+00:00,London Westminster,no2,30.0,µg/m³
+London,GB,2019-04-14 02:00:00+00:00,London Westminster,no2,30.0,µg/m³
+London,GB,2019-04-14 01:00:00+00:00,London Westminster,no2,27.0,µg/m³
+London,GB,2019-04-14 00:00:00+00:00,London Westminster,no2,27.0,µg/m³
+London,GB,2019-04-13 23:00:00+00:00,London Westminster,no2,31.0,µg/m³
+London,GB,2019-04-13 22:00:00+00:00,London Westminster,no2,31.0,µg/m³
+London,GB,2019-04-13 21:00:00+00:00,London Westminster,no2,28.0,µg/m³
+London,GB,2019-04-13 20:00:00+00:00,London Westminster,no2,29.0,µg/m³
+London,GB,2019-04-13 19:00:00+00:00,London Westminster,no2,31.0,µg/m³
+London,GB,2019-04-13 18:00:00+00:00,London Westminster,no2,31.0,µg/m³
+London,GB,2019-04-13 17:00:00+00:00,London Westminster,no2,34.0,µg/m³
+London,GB,2019-04-13 16:00:00+00:00,London Westminster,no2,30.0,µg/m³
+London,GB,2019-04-13 15:00:00+00:00,London Westminster,no2,29.0,µg/m³
+London,GB,2019-04-13 14:00:00+00:00,London Westminster,no2,29.0,µg/m³
+London,GB,2019-04-13 13:00:00+00:00,London Westminster,no2,27.0,µg/m³
+London,GB,2019-04-13 12:00:00+00:00,London Westminster,no2,29.0,µg/m³
+London,GB,2019-04-13 11:00:00+00:00,London Westminster,no2,36.0,µg/m³
+London,GB,2019-04-13 10:00:00+00:00,London Westminster,no2,45.0,µg/m³
+London,GB,2019-04-13 09:00:00+00:00,London Westminster,no2,45.0,µg/m³
+London,GB,2019-04-13 08:00:00+00:00,London Westminster,no2,40.0,µg/m³
+London,GB,2019-04-13 07:00:00+00:00,London Westminster,no2,40.0,µg/m³
+London,GB,2019-04-13 06:00:00+00:00,London Westminster,no2,33.0,µg/m³
+London,GB,2019-04-13 05:00:00+00:00,London Westminster,no2,29.0,µg/m³
+London,GB,2019-04-13 04:00:00+00:00,London Westminster,no2,29.0,µg/m³
+London,GB,2019-04-13 03:00:00+00:00,London Westminster,no2,28.0,µg/m³
+London,GB,2019-04-13 02:00:00+00:00,London Westminster,no2,28.0,µg/m³
+London,GB,2019-04-13 01:00:00+00:00,London Westminster,no2,29.0,µg/m³
+London,GB,2019-04-13 00:00:00+00:00,London Westminster,no2,29.0,µg/m³
+London,GB,2019-04-12 23:00:00+00:00,London Westminster,no2,29.0,µg/m³
+London,GB,2019-04-12 22:00:00+00:00,London Westminster,no2,29.0,µg/m³
+London,GB,2019-04-12 21:00:00+00:00,London Westminster,no2,29.0,µg/m³
+London,GB,2019-04-12 20:00:00+00:00,London Westminster,no2,35.0,µg/m³
+London,GB,2019-04-12 19:00:00+00:00,London Westminster,no2,37.0,µg/m³
+London,GB,2019-04-12 18:00:00+00:00,London Westminster,no2,38.0,µg/m³
+London,GB,2019-04-12 17:00:00+00:00,London Westminster,no2,41.0,µg/m³
+London,GB,2019-04-12 16:00:00+00:00,London Westminster,no2,47.0,µg/m³
+London,GB,2019-04-12 15:00:00+00:00,London Westminster,no2,47.0,µg/m³
+London,GB,2019-04-12 14:00:00+00:00,London Westminster,no2,39.0,µg/m³
+London,GB,2019-04-12 13:00:00+00:00,London Westminster,no2,30.0,µg/m³
+London,GB,2019-04-12 12:00:00+00:00,London Westminster,no2,36.0,µg/m³
+London,GB,2019-04-12 11:00:00+00:00,London Westminster,no2,34.0,µg/m³
+London,GB,2019-04-12 10:00:00+00:00,London Westminster,no2,34.0,µg/m³
+London,GB,2019-04-12 09:00:00+00:00,London Westminster,no2,46.0,µg/m³
+London,GB,2019-04-12 08:00:00+00:00,London Westminster,no2,57.0,µg/m³
+London,GB,2019-04-12 07:00:00+00:00,London Westminster,no2,55.0,µg/m³
+London,GB,2019-04-12 06:00:00+00:00,London Westminster,no2,45.0,µg/m³
+London,GB,2019-04-12 05:00:00+00:00,London Westminster,no2,33.0,µg/m³
+London,GB,2019-04-12 04:00:00+00:00,London Westminster,no2,33.0,µg/m³
+London,GB,2019-04-12 03:00:00+00:00,London Westminster,no2,26.0,µg/m³
+London,GB,2019-04-12 00:00:00+00:00,London Westminster,no2,30.0,µg/m³
+London,GB,2019-04-11 23:00:00+00:00,London Westminster,no2,32.0,µg/m³
+London,GB,2019-04-11 22:00:00+00:00,London Westminster,no2,32.0,µg/m³
+London,GB,2019-04-11 21:00:00+00:00,London Westminster,no2,33.0,µg/m³
+London,GB,2019-04-11 20:00:00+00:00,London Westminster,no2,38.0,µg/m³
+London,GB,2019-04-11 19:00:00+00:00,London Westminster,no2,36.0,µg/m³
+London,GB,2019-04-11 18:00:00+00:00,London Westminster,no2,37.0,µg/m³
+London,GB,2019-04-11 17:00:00+00:00,London Westminster,no2,38.0,µg/m³
+London,GB,2019-04-11 16:00:00+00:00,London Westminster,no2,34.0,µg/m³
+London,GB,2019-04-11 15:00:00+00:00,London Westminster,no2,30.0,µg/m³
+London,GB,2019-04-11 14:00:00+00:00,London Westminster,no2,27.0,µg/m³
+London,GB,2019-04-11 13:00:00+00:00,London Westminster,no2,26.0,µg/m³
+London,GB,2019-04-11 12:00:00+00:00,London Westminster,no2,29.0,µg/m³
+London,GB,2019-04-11 11:00:00+00:00,London Westminster,no2,28.0,µg/m³
+London,GB,2019-04-11 10:00:00+00:00,London Westminster,no2,30.0,µg/m³
+London,GB,2019-04-11 09:00:00+00:00,London Westminster,no2,38.0,µg/m³
+London,GB,2019-04-11 08:00:00+00:00,London Westminster,no2,52.0,µg/m³
+London,GB,2019-04-11 07:00:00+00:00,London Westminster,no2,51.0,µg/m³
+London,GB,2019-04-11 06:00:00+00:00,London Westminster,no2,46.0,µg/m³
+London,GB,2019-04-11 05:00:00+00:00,London Westminster,no2,29.0,µg/m³
+London,GB,2019-04-11 04:00:00+00:00,London Westminster,no2,29.0,µg/m³
+London,GB,2019-04-11 03:00:00+00:00,London Westminster,no2,29.0,µg/m³
+London,GB,2019-04-11 02:00:00+00:00,London Westminster,no2,29.0,µg/m³
+London,GB,2019-04-11 00:00:00+00:00,London Westminster,no2,28.0,µg/m³
+London,GB,2019-04-10 23:00:00+00:00,London Westminster,no2,34.0,µg/m³
+London,GB,2019-04-10 22:00:00+00:00,London Westminster,no2,34.0,µg/m³
+London,GB,2019-04-10 21:00:00+00:00,London Westminster,no2,30.0,µg/m³
+London,GB,2019-04-10 20:00:00+00:00,London Westminster,no2,33.0,µg/m³
+London,GB,2019-04-10 19:00:00+00:00,London Westminster,no2,35.0,µg/m³
+London,GB,2019-04-10 18:00:00+00:00,London Westminster,no2,33.0,µg/m³
+London,GB,2019-04-10 17:00:00+00:00,London Westminster,no2,32.0,µg/m³
+London,GB,2019-04-10 16:00:00+00:00,London Westminster,no2,32.0,µg/m³
+London,GB,2019-04-10 15:00:00+00:00,London Westminster,no2,28.0,µg/m³
+London,GB,2019-04-10 14:00:00+00:00,London Westminster,no2,30.0,µg/m³
+London,GB,2019-04-10 13:00:00+00:00,London Westminster,no2,28.0,µg/m³
+London,GB,2019-04-10 12:00:00+00:00,London Westminster,no2,34.0,µg/m³
+London,GB,2019-04-10 11:00:00+00:00,London Westminster,no2,33.0,µg/m³
+London,GB,2019-04-10 10:00:00+00:00,London Westminster,no2,34.0,µg/m³
+London,GB,2019-04-10 09:00:00+00:00,London Westminster,no2,35.0,µg/m³
+London,GB,2019-04-10 08:00:00+00:00,London Westminster,no2,41.0,µg/m³
+London,GB,2019-04-10 07:00:00+00:00,London Westminster,no2,45.0,µg/m³
+London,GB,2019-04-10 06:00:00+00:00,London Westminster,no2,39.0,µg/m³
+London,GB,2019-04-10 05:00:00+00:00,London Westminster,no2,24.0,µg/m³
+London,GB,2019-04-10 04:00:00+00:00,London Westminster,no2,24.0,µg/m³
+London,GB,2019-04-10 03:00:00+00:00,London Westminster,no2,27.0,µg/m³
+London,GB,2019-04-10 02:00:00+00:00,London Westminster,no2,27.0,µg/m³
+London,GB,2019-04-10 01:00:00+00:00,London Westminster,no2,25.0,µg/m³
+London,GB,2019-04-10 00:00:00+00:00,London Westminster,no2,25.0,µg/m³
+London,GB,2019-04-09 23:00:00+00:00,London Westminster,no2,38.0,µg/m³
+London,GB,2019-04-09 22:00:00+00:00,London Westminster,no2,38.0,µg/m³
+London,GB,2019-04-09 21:00:00+00:00,London Westminster,no2,39.0,µg/m³
+London,GB,2019-04-09 20:00:00+00:00,London Westminster,no2,39.0,µg/m³
+London,GB,2019-04-09 19:00:00+00:00,London Westminster,no2,41.0,µg/m³
+London,GB,2019-04-09 18:00:00+00:00,London Westminster,no2,42.0,µg/m³
+London,GB,2019-04-09 17:00:00+00:00,London Westminster,no2,44.0,µg/m³
+London,GB,2019-04-09 16:00:00+00:00,London Westminster,no2,52.0,µg/m³
+London,GB,2019-04-09 15:00:00+00:00,London Westminster,no2,59.0,µg/m³
+London,GB,2019-04-09 14:00:00+00:00,London Westminster,no2,58.0,µg/m³
+London,GB,2019-04-09 13:00:00+00:00,London Westminster,no2,56.0,µg/m³
+London,GB,2019-04-09 12:00:00+00:00,London Westminster,no2,55.0,µg/m³
+London,GB,2019-04-09 11:00:00+00:00,London Westminster,no2,50.0,µg/m³
+London,GB,2019-04-09 10:00:00+00:00,London Westminster,no2,50.0,µg/m³
+London,GB,2019-04-09 09:00:00+00:00,London Westminster,no2,49.0,µg/m³
+London,GB,2019-04-09 08:00:00+00:00,London Westminster,no2,47.0,µg/m³
+London,GB,2019-04-09 07:00:00+00:00,London Westminster,no2,45.0,µg/m³
+London,GB,2019-04-09 06:00:00+00:00,London Westminster,no2,41.0,µg/m³
+London,GB,2019-04-09 05:00:00+00:00,London Westminster,no2,41.0,µg/m³
+London,GB,2019-04-09 04:00:00+00:00,London Westminster,no2,41.0,µg/m³
+London,GB,2019-04-09 03:00:00+00:00,London Westminster,no2,67.0,µg/m³
+London,GB,2019-04-09 02:00:00+00:00,London Westminster,no2,67.0,µg/m³
diff --git a/doc/data/air_quality_no2.csv b/doc/data/air_quality_no2.csv
new file mode 100644
index 0000000000000..7fa879f7c7e78
--- /dev/null
+++ b/doc/data/air_quality_no2.csv
@@ -0,0 +1,1036 @@
+datetime,station_antwerp,station_paris,station_london
+2019-05-07 02:00:00,,,23.0
+2019-05-07 03:00:00,50.5,25.0,19.0
+2019-05-07 04:00:00,45.0,27.7,19.0
+2019-05-07 05:00:00,,50.4,16.0
+2019-05-07 06:00:00,,61.9,
+2019-05-07 07:00:00,,72.4,26.0
+2019-05-07 08:00:00,,77.7,32.0
+2019-05-07 09:00:00,,67.9,32.0
+2019-05-07 10:00:00,,56.0,28.0
+2019-05-07 11:00:00,,34.5,21.0
+2019-05-07 12:00:00,,20.1,21.0
+2019-05-07 13:00:00,,13.0,18.0
+2019-05-07 14:00:00,,10.6,20.0
+2019-05-07 15:00:00,,13.2,18.0
+2019-05-07 16:00:00,,11.0,20.0
+2019-05-07 17:00:00,,11.7,20.0
+2019-05-07 18:00:00,,18.2,21.0
+2019-05-07 19:00:00,,22.3,20.0
+2019-05-07 20:00:00,,21.4,20.0
+2019-05-07 21:00:00,,26.8,24.0
+2019-05-07 22:00:00,,36.2,24.0
+2019-05-07 23:00:00,,33.9,
+2019-05-08 00:00:00,,35.8,24.0
+2019-05-08 01:00:00,,34.0,19.0
+2019-05-08 02:00:00,,22.1,19.0
+2019-05-08 03:00:00,23.0,19.6,20.0
+2019-05-08 04:00:00,20.5,15.3,20.0
+2019-05-08 05:00:00,,13.5,19.0
+2019-05-08 06:00:00,,15.5,19.0
+2019-05-08 07:00:00,,19.3,29.0
+2019-05-08 08:00:00,,21.7,34.0
+2019-05-08 09:00:00,,19.5,36.0
+2019-05-08 10:00:00,,17.0,33.0
+2019-05-08 11:00:00,,19.7,28.0
+2019-05-08 12:00:00,,33.4,27.0
+2019-05-08 13:00:00,,21.4,26.0
+2019-05-08 14:00:00,,15.1,26.0
+2019-05-08 15:00:00,,14.3,24.0
+2019-05-08 16:00:00,,25.3,27.0
+2019-05-08 17:00:00,,26.0,28.0
+2019-05-08 18:00:00,,38.6,31.0
+2019-05-08 19:00:00,,29.3,40.0
+2019-05-08 20:00:00,,27.8,25.0
+2019-05-08 21:00:00,,41.3,29.0
+2019-05-08 22:00:00,,38.3,26.0
+2019-05-08 23:00:00,,48.9,
+2019-05-09 00:00:00,,32.2,25.0
+2019-05-09 01:00:00,,25.2,30.0
+2019-05-09 02:00:00,,14.7,
+2019-05-09 03:00:00,20.0,10.6,31.0
+2019-05-09 04:00:00,20.5,10.0,31.0
+2019-05-09 05:00:00,,10.4,33.0
+2019-05-09 06:00:00,,15.3,33.0
+2019-05-09 07:00:00,,34.5,33.0
+2019-05-09 08:00:00,,50.7,33.0
+2019-05-09 09:00:00,,49.0,35.0
+2019-05-09 10:00:00,,32.2,36.0
+2019-05-09 11:00:00,,32.3,28.0
+2019-05-09 12:00:00,,43.1,27.0
+2019-05-09 13:00:00,,34.2,30.0
+2019-05-09 14:00:00,,35.1,27.0
+2019-05-09 15:00:00,,21.3,34.0
+2019-05-09 16:00:00,,24.6,97.0
+2019-05-09 17:00:00,,23.9,67.0
+2019-05-09 18:00:00,,27.0,60.0
+2019-05-09 19:00:00,,29.9,58.0
+2019-05-09 20:00:00,,24.4,62.0
+2019-05-09 21:00:00,,23.8,59.0
+2019-05-09 22:00:00,,29.2,65.0
+2019-05-09 23:00:00,,34.5,59.0
+2019-05-10 00:00:00,,29.7,59.0
+2019-05-10 01:00:00,,26.7,52.0
+2019-05-10 02:00:00,,22.7,52.0
+2019-05-10 03:00:00,10.5,19.1,41.0
+2019-05-10 04:00:00,11.5,14.1,41.0
+2019-05-10 05:00:00,,15.0,40.0
+2019-05-10 06:00:00,,20.5,40.0
+2019-05-10 07:00:00,,37.8,39.0
+2019-05-10 08:00:00,,47.4,36.0
+2019-05-10 09:00:00,,57.3,39.0
+2019-05-10 10:00:00,,60.7,34.0
+2019-05-10 11:00:00,,53.4,31.0
+2019-05-10 12:00:00,,35.1,29.0
+2019-05-10 13:00:00,,23.2,28.0
+2019-05-10 14:00:00,,25.3,26.0
+2019-05-10 15:00:00,,22.0,25.0
+2019-05-10 16:00:00,,29.3,25.0
+2019-05-10 17:00:00,,29.6,24.0
+2019-05-10 18:00:00,,30.8,26.0
+2019-05-10 19:00:00,,37.8,26.0
+2019-05-10 20:00:00,,33.4,29.0
+2019-05-10 21:00:00,,39.3,29.0
+2019-05-10 22:00:00,,43.6,29.0
+2019-05-10 23:00:00,,37.0,31.0
+2019-05-11 00:00:00,,28.1,31.0
+2019-05-11 01:00:00,,26.0,27.0
+2019-05-11 02:00:00,,24.8,27.0
+2019-05-11 03:00:00,26.5,15.5,32.0
+2019-05-11 04:00:00,21.0,14.9,32.0
+2019-05-11 05:00:00,,,35.0
+2019-05-11 06:00:00,,,35.0
+2019-05-11 07:00:00,,,30.0
+2019-05-11 08:00:00,,28.9,30.0
+2019-05-11 09:00:00,,29.0,27.0
+2019-05-11 10:00:00,,32.1,30.0
+2019-05-11 11:00:00,,35.7,
+2019-05-11 12:00:00,,36.8,
+2019-05-11 13:00:00,,33.2,
+2019-05-11 14:00:00,,30.2,
+2019-05-11 15:00:00,,30.8,
+2019-05-11 16:00:00,,17.8,28.0
+2019-05-11 17:00:00,,18.0,26.0
+2019-05-11 18:00:00,,19.5,28.0
+2019-05-11 19:00:00,,32.0,31.0
+2019-05-11 20:00:00,,33.1,33.0
+2019-05-11 21:00:00,,31.2,33.0
+2019-05-11 22:00:00,,24.2,34.0
+2019-05-11 23:00:00,,21.1,37.0
+2019-05-12 00:00:00,,27.7,37.0
+2019-05-12 01:00:00,,26.4,35.0
+2019-05-12 02:00:00,,22.8,35.0
+2019-05-12 03:00:00,17.5,19.2,38.0
+2019-05-12 04:00:00,20.0,17.2,38.0
+2019-05-12 05:00:00,,16.0,36.0
+2019-05-12 06:00:00,,16.2,36.0
+2019-05-12 07:00:00,,19.2,38.0
+2019-05-12 08:00:00,,20.1,44.0
+2019-05-12 09:00:00,,15.9,32.0
+2019-05-12 10:00:00,,14.6,26.0
+2019-05-12 11:00:00,,11.7,26.0
+2019-05-12 12:00:00,,11.4,21.0
+2019-05-12 13:00:00,,11.4,20.0
+2019-05-12 14:00:00,,10.9,19.0
+2019-05-12 15:00:00,,8.7,21.0
+2019-05-12 16:00:00,,9.1,22.0
+2019-05-12 17:00:00,,9.6,23.0
+2019-05-12 18:00:00,,11.7,24.0
+2019-05-12 19:00:00,,13.9,22.0
+2019-05-12 20:00:00,,18.2,22.0
+2019-05-12 21:00:00,,19.5,22.0
+2019-05-12 22:00:00,,24.1,21.0
+2019-05-12 23:00:00,,34.2,22.0
+2019-05-13 00:00:00,,46.5,22.0
+2019-05-13 01:00:00,,32.5,22.0
+2019-05-13 02:00:00,,25.0,22.0
+2019-05-13 03:00:00,14.5,18.9,24.0
+2019-05-13 04:00:00,14.5,18.5,24.0
+2019-05-13 05:00:00,,18.9,33.0
+2019-05-13 06:00:00,,25.1,33.0
+2019-05-13 07:00:00,,38.3,39.0
+2019-05-13 08:00:00,,45.2,39.0
+2019-05-13 09:00:00,,41.0,31.0
+2019-05-13 10:00:00,,32.1,29.0
+2019-05-13 11:00:00,,20.6,27.0
+2019-05-13 12:00:00,,12.8,26.0
+2019-05-13 13:00:00,,9.6,24.0
+2019-05-13 14:00:00,,9.2,25.0
+2019-05-13 15:00:00,,10.1,26.0
+2019-05-13 16:00:00,,10.7,28.0
+2019-05-13 17:00:00,,10.6,29.0
+2019-05-13 18:00:00,,12.1,30.0
+2019-05-13 19:00:00,,13.0,30.0
+2019-05-13 20:00:00,,15.5,31.0
+2019-05-13 21:00:00,,23.9,31.0
+2019-05-13 22:00:00,,28.3,31.0
+2019-05-13 23:00:00,,30.4,31.0
+2019-05-14 00:00:00,,27.3,31.0
+2019-05-14 01:00:00,,22.8,23.0
+2019-05-14 02:00:00,,20.9,23.0
+2019-05-14 03:00:00,14.5,19.1,26.0
+2019-05-14 04:00:00,11.5,19.0,26.0
+2019-05-14 05:00:00,,22.1,30.0
+2019-05-14 06:00:00,,31.6,30.0
+2019-05-14 07:00:00,,38.6,33.0
+2019-05-14 08:00:00,,46.1,34.0
+2019-05-14 09:00:00,,41.3,33.0
+2019-05-14 10:00:00,,28.8,30.0
+2019-05-14 11:00:00,,19.0,31.0
+2019-05-14 12:00:00,,12.9,27.0
+2019-05-14 13:00:00,,11.3,25.0
+2019-05-14 14:00:00,,10.2,25.0
+2019-05-14 15:00:00,,11.0,25.0
+2019-05-14 16:00:00,,15.2,29.0
+2019-05-14 17:00:00,,13.4,32.0
+2019-05-14 18:00:00,,15.3,33.0
+2019-05-14 19:00:00,,17.7,30.0
+2019-05-14 20:00:00,,17.9,28.0
+2019-05-14 21:00:00,,23.3,27.0
+2019-05-14 22:00:00,,28.4,25.0
+2019-05-14 23:00:00,,29.0,26.0
+2019-05-15 00:00:00,,30.9,26.0
+2019-05-15 01:00:00,,24.3,22.0
+2019-05-15 02:00:00,,18.8,
+2019-05-15 03:00:00,25.5,17.2,22.0
+2019-05-15 04:00:00,22.5,16.8,22.0
+2019-05-15 05:00:00,,17.9,25.0
+2019-05-15 06:00:00,,28.9,25.0
+2019-05-15 07:00:00,,46.5,33.0
+2019-05-15 08:00:00,,48.1,33.0
+2019-05-15 09:00:00,,32.1,34.0
+2019-05-15 10:00:00,,25.7,35.0
+2019-05-15 11:00:00,,0.0,36.0
+2019-05-15 12:00:00,,0.0,35.0
+2019-05-15 13:00:00,,0.0,30.0
+2019-05-15 14:00:00,,9.4,31.0
+2019-05-15 15:00:00,,10.0,30.0
+2019-05-15 16:00:00,,11.9,38.0
+2019-05-15 17:00:00,,12.9,38.0
+2019-05-15 18:00:00,,12.2,33.0
+2019-05-15 19:00:00,,12.9,35.0
+2019-05-15 20:00:00,,16.5,33.0
+2019-05-15 21:00:00,,20.3,31.0
+2019-05-15 22:00:00,,30.1,32.0
+2019-05-15 23:00:00,,36.0,33.0
+2019-05-16 00:00:00,,44.1,33.0
+2019-05-16 01:00:00,,30.9,33.0
+2019-05-16 02:00:00,,27.4,33.0
+2019-05-16 03:00:00,28.0,26.0,28.0
+2019-05-16 04:00:00,,26.7,28.0
+2019-05-16 05:00:00,,27.9,26.0
+2019-05-16 06:00:00,,37.0,26.0
+2019-05-16 07:00:00,,52.6,33.0
+2019-05-16 08:00:00,,,34.0
+2019-05-16 09:00:00,,40.0,33.0
+2019-05-16 10:00:00,,39.4,32.0
+2019-05-16 11:00:00,,29.5,31.0
+2019-05-16 12:00:00,,13.5,33.0
+2019-05-16 13:00:00,,10.5,30.0
+2019-05-16 14:00:00,,9.2,27.0
+2019-05-16 15:00:00,,8.5,27.0
+2019-05-16 16:00:00,,8.1,26.0
+2019-05-16 17:00:00,,10.1,29.0
+2019-05-16 18:00:00,,10.3,30.0
+2019-05-16 19:00:00,,13.5,25.0
+2019-05-16 20:00:00,,15.9,27.0
+2019-05-16 21:00:00,,14.4,26.0
+2019-05-16 22:00:00,,24.8,25.0
+2019-05-16 23:00:00,,24.3,25.0
+2019-05-17 00:00:00,,37.1,25.0
+2019-05-17 01:00:00,,43.7,23.0
+2019-05-17 02:00:00,,46.3,23.0
+2019-05-17 03:00:00,,26.1,21.0
+2019-05-17 04:00:00,,24.6,21.0
+2019-05-17 05:00:00,,26.6,21.0
+2019-05-17 06:00:00,,28.4,21.0
+2019-05-17 07:00:00,,34.0,25.0
+2019-05-17 08:00:00,,46.3,27.0
+2019-05-17 09:00:00,,55.0,27.0
+2019-05-17 10:00:00,,57.5,29.0
+2019-05-17 11:00:00,,60.5,30.0
+2019-05-17 12:00:00,,51.5,30.0
+2019-05-17 13:00:00,,43.1,30.0
+2019-05-17 14:00:00,,46.5,29.0
+2019-05-17 15:00:00,,37.9,31.0
+2019-05-17 16:00:00,,27.0,32.0
+2019-05-17 17:00:00,,22.2,30.0
+2019-05-17 18:00:00,,20.7,29.0
+2019-05-17 19:00:00,,27.9,31.0
+2019-05-17 20:00:00,,33.6,36.0
+2019-05-17 21:00:00,,24.7,36.0
+2019-05-17 22:00:00,,23.5,36.0
+2019-05-17 23:00:00,,24.3,35.0
+2019-05-18 00:00:00,,28.2,35.0
+2019-05-18 01:00:00,,34.1,31.0
+2019-05-18 02:00:00,,31.5,31.0
+2019-05-18 03:00:00,41.5,37.4,31.0
+2019-05-18 04:00:00,,29.0,31.0
+2019-05-18 05:00:00,,16.1,29.0
+2019-05-18 06:00:00,,16.6,29.0
+2019-05-18 07:00:00,,20.1,27.0
+2019-05-18 08:00:00,,22.1,29.0
+2019-05-18 09:00:00,,27.4,35.0
+2019-05-18 10:00:00,,20.4,32.0
+2019-05-18 11:00:00,,21.1,35.0
+2019-05-18 12:00:00,,24.1,34.0
+2019-05-18 13:00:00,,17.5,38.0
+2019-05-18 14:00:00,,12.9,29.0
+2019-05-18 15:00:00,,10.5,27.0
+2019-05-18 16:00:00,,11.8,28.0
+2019-05-18 17:00:00,,13.0,30.0
+2019-05-18 18:00:00,,14.6,42.0
+2019-05-18 19:00:00,,12.8,42.0
+2019-05-18 20:00:00,35.5,14.5,36.0
+2019-05-18 21:00:00,35.5,67.5,35.0
+2019-05-18 22:00:00,40.0,36.2,41.0
+2019-05-18 23:00:00,39.0,59.3,46.0
+2019-05-19 00:00:00,34.5,62.5,46.0
+2019-05-19 01:00:00,29.5,50.2,49.0
+2019-05-19 02:00:00,23.5,49.6,49.0
+2019-05-19 03:00:00,22.5,34.9,49.0
+2019-05-19 04:00:00,19.0,38.1,49.0
+2019-05-19 05:00:00,19.0,36.4,49.0
+2019-05-19 06:00:00,21.0,39.4,49.0
+2019-05-19 07:00:00,26.0,40.9,38.0
+2019-05-19 08:00:00,30.5,31.1,36.0
+2019-05-19 09:00:00,30.0,32.4,33.0
+2019-05-19 10:00:00,23.5,31.7,30.0
+2019-05-19 11:00:00,16.0,33.0,27.0
+2019-05-19 12:00:00,17.5,31.0,28.0
+2019-05-19 13:00:00,17.0,32.6,25.0
+2019-05-19 14:00:00,16.0,27.9,27.0
+2019-05-19 15:00:00,14.5,21.0,31.0
+2019-05-19 16:00:00,23.0,23.8,29.0
+2019-05-19 17:00:00,33.0,31.7,28.0
+2019-05-19 18:00:00,17.5,32.5,27.0
+2019-05-19 19:00:00,18.5,33.9,29.0
+2019-05-19 20:00:00,15.5,32.7,30.0
+2019-05-19 21:00:00,26.0,51.2,32.0
+2019-05-19 22:00:00,15.0,35.6,32.0
+2019-05-19 23:00:00,12.5,23.2,32.0
+2019-05-20 00:00:00,18.5,22.2,32.0
+2019-05-20 01:00:00,16.5,18.8,28.0
+2019-05-20 02:00:00,26.0,16.4,28.0
+2019-05-20 03:00:00,17.0,12.8,32.0
+2019-05-20 04:00:00,10.5,12.1,32.0
+2019-05-20 05:00:00,9.0,12.6,26.0
+2019-05-20 06:00:00,14.0,14.9,26.0
+2019-05-20 07:00:00,20.0,25.2,31.0
+2019-05-20 08:00:00,26.0,40.1,31.0
+2019-05-20 09:00:00,38.0,46.9,29.0
+2019-05-20 10:00:00,40.0,46.1,29.0
+2019-05-20 11:00:00,30.5,45.5,28.0
+2019-05-20 12:00:00,25.0,43.9,28.0
+2019-05-20 13:00:00,25.0,35.4,28.0
+2019-05-20 14:00:00,34.5,23.8,29.0
+2019-05-20 15:00:00,32.0,23.7,32.0
+2019-05-20 16:00:00,24.5,27.5,32.0
+2019-05-20 17:00:00,25.5,26.5,29.0
+2019-05-20 18:00:00,,32.4,30.0
+2019-05-20 19:00:00,,24.6,33.0
+2019-05-20 20:00:00,,32.2,32.0
+2019-05-20 21:00:00,,21.3,32.0
+2019-05-20 22:00:00,,21.6,34.0
+2019-05-20 23:00:00,,20.3,47.0
+2019-05-21 00:00:00,,20.7,47.0
+2019-05-21 01:00:00,,19.6,35.0
+2019-05-21 02:00:00,,16.9,35.0
+2019-05-21 03:00:00,15.5,16.3,26.0
+2019-05-21 04:00:00,,17.7,26.0
+2019-05-21 05:00:00,,17.9,23.0
+2019-05-21 06:00:00,,18.5,23.0
+2019-05-21 07:00:00,,38.0,30.0
+2019-05-21 08:00:00,,62.6,27.0
+2019-05-21 09:00:00,,56.0,28.0
+2019-05-21 10:00:00,,54.2,29.0
+2019-05-21 11:00:00,,48.1,29.0
+2019-05-21 12:00:00,,30.4,26.0
+2019-05-21 13:00:00,,25.5,26.0
+2019-05-21 14:00:00,,30.5,28.0
+2019-05-21 15:00:00,,49.7,33.0
+2019-05-21 16:00:00,,47.8,34.0
+2019-05-21 17:00:00,,36.6,34.0
+2019-05-21 18:00:00,,42.3,37.0
+2019-05-21 19:00:00,,75.0,35.0
+2019-05-21 20:00:00,,54.3,40.0
+2019-05-21 21:00:00,,50.0,38.0
+2019-05-21 22:00:00,,40.8,33.0
+2019-05-21 23:00:00,,43.0,33.0
+2019-05-22 00:00:00,,33.2,33.0
+2019-05-22 01:00:00,,29.5,30.0
+2019-05-22 02:00:00,,27.1,30.0
+2019-05-22 03:00:00,20.5,27.9,27.0
+2019-05-22 04:00:00,,19.2,27.0
+2019-05-22 05:00:00,,25.2,21.0
+2019-05-22 06:00:00,,33.7,21.0
+2019-05-22 07:00:00,,45.1,28.0
+2019-05-22 08:00:00,,75.7,29.0
+2019-05-22 09:00:00,,75.4,31.0
+2019-05-22 10:00:00,,70.8,31.0
+2019-05-22 11:00:00,,63.1,31.0
+2019-05-22 12:00:00,,57.8,28.0
+2019-05-22 13:00:00,,42.6,25.0
+2019-05-22 14:00:00,,42.2,25.0
+2019-05-22 15:00:00,,38.5,28.0
+2019-05-22 16:00:00,,40.0,30.0
+2019-05-22 17:00:00,,33.2,32.0
+2019-05-22 18:00:00,,34.9,34.0
+2019-05-22 19:00:00,,36.1,34.0
+2019-05-22 20:00:00,,34.1,33.0
+2019-05-22 21:00:00,,36.2,33.0
+2019-05-22 22:00:00,,44.9,31.0
+2019-05-22 23:00:00,,37.7,32.0
+2019-05-23 00:00:00,,29.8,32.0
+2019-05-23 01:00:00,,62.1,23.0
+2019-05-23 02:00:00,,53.3,23.0
+2019-05-23 03:00:00,60.5,53.1,20.0
+2019-05-23 04:00:00,,66.6,20.0
+2019-05-23 05:00:00,,76.8,19.0
+2019-05-23 06:00:00,,71.9,19.0
+2019-05-23 07:00:00,,68.7,24.0
+2019-05-23 08:00:00,,79.6,26.0
+2019-05-23 09:00:00,,91.8,25.0
+2019-05-23 10:00:00,,97.0,23.0
+2019-05-23 11:00:00,,79.4,25.0
+2019-05-23 12:00:00,,28.3,24.0
+2019-05-23 13:00:00,,17.0,25.0
+2019-05-23 14:00:00,,16.4,28.0
+2019-05-23 15:00:00,,21.2,34.0
+2019-05-23 16:00:00,,17.2,38.0
+2019-05-23 17:00:00,,17.5,53.0
+2019-05-23 18:00:00,,17.8,60.0
+2019-05-23 19:00:00,,22.7,54.0
+2019-05-23 20:00:00,,23.5,51.0
+2019-05-23 21:00:00,,28.0,45.0
+2019-05-23 22:00:00,,33.8,44.0
+2019-05-23 23:00:00,,47.0,39.0
+2019-05-24 00:00:00,,61.9,39.0
+2019-05-24 01:00:00,,23.2,31.0
+2019-05-24 02:00:00,,32.8,
+2019-05-24 03:00:00,74.5,28.8,31.0
+2019-05-24 04:00:00,,28.4,31.0
+2019-05-24 05:00:00,,19.4,23.0
+2019-05-24 06:00:00,,28.1,23.0
+2019-05-24 07:00:00,,35.9,29.0
+2019-05-24 08:00:00,,40.7,28.0
+2019-05-24 09:00:00,,54.8,26.0
+2019-05-24 10:00:00,,45.9,24.0
+2019-05-24 11:00:00,,37.9,23.0
+2019-05-24 12:00:00,,28.6,26.0
+2019-05-24 13:00:00,,40.6,29.0
+2019-05-24 14:00:00,,29.3,33.0
+2019-05-24 15:00:00,,24.3,39.0
+2019-05-24 16:00:00,,20.5,40.0
+2019-05-24 17:00:00,,22.7,43.0
+2019-05-24 18:00:00,,27.3,46.0
+2019-05-24 19:00:00,,25.2,46.0
+2019-05-24 20:00:00,,23.3,44.0
+2019-05-24 21:00:00,,21.9,42.0
+2019-05-24 22:00:00,,31.7,38.0
+2019-05-24 23:00:00,,18.1,39.0
+2019-05-25 00:00:00,,18.0,39.0
+2019-05-25 01:00:00,,16.5,32.0
+2019-05-25 02:00:00,,17.4,32.0
+2019-05-25 03:00:00,29.0,12.8,25.0
+2019-05-25 04:00:00,,20.3,25.0
+2019-05-25 05:00:00,,,21.0
+2019-05-25 06:00:00,,,21.0
+2019-05-25 07:00:00,,,22.0
+2019-05-25 08:00:00,,36.9,22.0
+2019-05-25 09:00:00,,42.1,23.0
+2019-05-25 10:00:00,,44.5,23.0
+2019-05-25 11:00:00,,33.6,21.0
+2019-05-25 12:00:00,,26.3,23.0
+2019-05-25 13:00:00,,19.5,24.0
+2019-05-25 14:00:00,,18.6,26.0
+2019-05-25 15:00:00,,26.1,31.0
+2019-05-25 16:00:00,,23.6,37.0
+2019-05-25 17:00:00,,30.0,42.0
+2019-05-25 18:00:00,,31.9,46.0
+2019-05-25 19:00:00,,20.6,47.0
+2019-05-25 20:00:00,,30.4,47.0
+2019-05-25 21:00:00,,22.1,44.0
+2019-05-25 22:00:00,,43.6,41.0
+2019-05-25 23:00:00,,39.5,36.0
+2019-05-26 00:00:00,,63.9,36.0
+2019-05-26 01:00:00,,70.2,32.0
+2019-05-26 02:00:00,,67.0,32.0
+2019-05-26 03:00:00,53.0,49.8,26.0
+2019-05-26 04:00:00,,23.4,26.0
+2019-05-26 05:00:00,,22.9,20.0
+2019-05-26 06:00:00,,22.3,20.0
+2019-05-26 07:00:00,,16.8,17.0
+2019-05-26 08:00:00,,15.1,17.0
+2019-05-26 09:00:00,,13.4,15.0
+2019-05-26 10:00:00,,11.0,15.0
+2019-05-26 11:00:00,,10.3,16.0
+2019-05-26 12:00:00,,11.3,17.0
+2019-05-26 13:00:00,,13.3,21.0
+2019-05-26 14:00:00,,11.5,24.0
+2019-05-26 15:00:00,,12.5,25.0
+2019-05-26 16:00:00,,15.3,26.0
+2019-05-26 17:00:00,,11.7,27.0
+2019-05-26 18:00:00,,17.1,26.0
+2019-05-26 19:00:00,,17.3,28.0
+2019-05-26 20:00:00,,22.8,26.0
+2019-05-26 21:00:00,,17.8,25.0
+2019-05-26 22:00:00,,16.6,27.0
+2019-05-26 23:00:00,,16.1,26.0
+2019-05-27 00:00:00,,15.2,26.0
+2019-05-27 01:00:00,,10.3,26.0
+2019-05-27 02:00:00,,9.5,26.0
+2019-05-27 03:00:00,10.5,7.1,24.0
+2019-05-27 04:00:00,,5.9,24.0
+2019-05-27 05:00:00,,4.8,19.0
+2019-05-27 06:00:00,,6.5,19.0
+2019-05-27 07:00:00,,20.3,18.0
+2019-05-27 08:00:00,,29.1,18.0
+2019-05-27 09:00:00,,29.5,18.0
+2019-05-27 10:00:00,,34.2,18.0
+2019-05-27 11:00:00,,31.4,16.0
+2019-05-27 12:00:00,,23.3,17.0
+2019-05-27 13:00:00,,19.3,17.0
+2019-05-27 14:00:00,,17.3,20.0
+2019-05-27 15:00:00,,17.5,20.0
+2019-05-27 16:00:00,,17.3,22.0
+2019-05-27 17:00:00,,25.6,22.0
+2019-05-27 18:00:00,,23.6,22.0
+2019-05-27 19:00:00,,22.9,22.0
+2019-05-27 20:00:00,,25.6,22.0
+2019-05-27 21:00:00,,22.1,23.0
+2019-05-27 22:00:00,,22.3,20.0
+2019-05-27 23:00:00,,18.8,19.0
+2019-05-28 00:00:00,,19.9,19.0
+2019-05-28 01:00:00,,22.6,16.0
+2019-05-28 02:00:00,,15.4,16.0
+2019-05-28 03:00:00,11.0,8.2,16.0
+2019-05-28 04:00:00,,6.4,16.0
+2019-05-28 05:00:00,,6.1,15.0
+2019-05-28 06:00:00,,8.9,15.0
+2019-05-28 07:00:00,,19.9,19.0
+2019-05-28 08:00:00,,28.8,20.0
+2019-05-28 09:00:00,,33.8,20.0
+2019-05-28 10:00:00,,31.2,20.0
+2019-05-28 11:00:00,,24.3,21.0
+2019-05-28 12:00:00,,21.6,21.0
+2019-05-28 13:00:00,,20.5,28.0
+2019-05-28 14:00:00,,24.8,27.0
+2019-05-28 15:00:00,,18.5,29.0
+2019-05-28 16:00:00,,18.8,30.0
+2019-05-28 17:00:00,,25.0,27.0
+2019-05-28 18:00:00,,26.5,25.0
+2019-05-28 19:00:00,,20.8,29.0
+2019-05-28 20:00:00,,16.2,29.0
+2019-05-28 21:00:00,,18.5,29.0
+2019-05-28 22:00:00,,20.4,31.0
+2019-05-28 23:00:00,,20.4,
+2019-05-29 00:00:00,,20.2,25.0
+2019-05-29 01:00:00,,25.3,26.0
+2019-05-29 02:00:00,,23.4,26.0
+2019-05-29 03:00:00,21.0,21.6,23.0
+2019-05-29 04:00:00,,19.0,23.0
+2019-05-29 05:00:00,,20.3,21.0
+2019-05-29 06:00:00,,24.1,21.0
+2019-05-29 07:00:00,,36.7,24.0
+2019-05-29 08:00:00,,46.5,22.0
+2019-05-29 09:00:00,,50.5,21.0
+2019-05-29 10:00:00,,45.7,18.0
+2019-05-29 11:00:00,,34.5,18.0
+2019-05-29 12:00:00,,30.7,18.0
+2019-05-29 13:00:00,,22.0,20.0
+2019-05-29 14:00:00,,13.2,13.0
+2019-05-29 15:00:00,,17.8,15.0
+2019-05-29 16:00:00,,0.0,5.0
+2019-05-29 17:00:00,,0.0,3.0
+2019-05-29 18:00:00,,20.1,5.0
+2019-05-29 19:00:00,,22.9,5.0
+2019-05-29 20:00:00,,25.3,5.0
+2019-05-29 21:00:00,,24.1,6.0
+2019-05-29 22:00:00,,20.8,6.0
+2019-05-29 23:00:00,,16.9,5.0
+2019-05-30 00:00:00,,19.0,5.0
+2019-05-30 01:00:00,,19.9,1.0
+2019-05-30 02:00:00,,19.4,1.0
+2019-05-30 03:00:00,7.5,12.4,0.0
+2019-05-30 04:00:00,,9.4,0.0
+2019-05-30 05:00:00,,10.6,0.0
+2019-05-30 06:00:00,,10.4,0.0
+2019-05-30 07:00:00,,12.2,0.0
+2019-05-30 08:00:00,,13.3,2.0
+2019-05-30 09:00:00,,18.3,3.0
+2019-05-30 10:00:00,,16.7,5.0
+2019-05-30 11:00:00,,15.1,9.0
+2019-05-30 12:00:00,,13.8,13.0
+2019-05-30 13:00:00,,14.9,17.0
+2019-05-30 14:00:00,,14.2,20.0
+2019-05-30 15:00:00,,16.1,22.0
+2019-05-30 16:00:00,,14.9,22.0
+2019-05-30 17:00:00,,13.0,27.0
+2019-05-30 18:00:00,,12.8,30.0
+2019-05-30 19:00:00,,20.4,28.0
+2019-05-30 20:00:00,,22.1,28.0
+2019-05-30 21:00:00,,22.9,27.0
+2019-05-30 22:00:00,,21.9,27.0
+2019-05-30 23:00:00,,26.9,23.0
+2019-05-31 00:00:00,,27.0,23.0
+2019-05-31 01:00:00,,29.6,18.0
+2019-05-31 02:00:00,,27.2,18.0
+2019-05-31 03:00:00,9.0,36.9,12.0
+2019-05-31 04:00:00,,44.1,12.0
+2019-05-31 05:00:00,,40.1,9.0
+2019-05-31 06:00:00,,31.1,9.0
+2019-05-31 07:00:00,,37.2,8.0
+2019-05-31 08:00:00,,38.6,9.0
+2019-05-31 09:00:00,,47.4,8.0
+2019-05-31 10:00:00,,36.6,37.0
+2019-05-31 11:00:00,,19.6,15.0
+2019-05-31 12:00:00,,17.2,16.0
+2019-05-31 13:00:00,,15.1,18.0
+2019-05-31 14:00:00,,13.3,21.0
+2019-05-31 15:00:00,,13.8,21.0
+2019-05-31 16:00:00,,15.4,24.0
+2019-05-31 17:00:00,,15.4,26.0
+2019-05-31 18:00:00,,16.3,26.0
+2019-05-31 19:00:00,,20.5,29.0
+2019-05-31 20:00:00,,25.2,33.0
+2019-05-31 21:00:00,,23.3,33.0
+2019-05-31 22:00:00,,37.0,31.0
+2019-05-31 23:00:00,,60.2,26.0
+2019-06-01 00:00:00,,68.0,26.0
+2019-06-01 01:00:00,,81.7,22.0
+2019-06-01 02:00:00,,84.7,22.0
+2019-06-01 03:00:00,52.5,74.8,16.0
+2019-06-01 04:00:00,,68.1,16.0
+2019-06-01 05:00:00,,,11.0
+2019-06-01 06:00:00,,,11.0
+2019-06-01 07:00:00,,,4.0
+2019-06-01 08:00:00,,44.6,2.0
+2019-06-01 09:00:00,,46.4,8.0
+2019-06-01 10:00:00,,33.3,9.0
+2019-06-01 11:00:00,,23.9,12.0
+2019-06-01 12:00:00,,13.8,19.0
+2019-06-01 13:00:00,,12.2,28.0
+2019-06-01 14:00:00,,10.4,33.0
+2019-06-01 15:00:00,,10.2,36.0
+2019-06-01 16:00:00,,10.0,33.0
+2019-06-01 17:00:00,,10.2,31.0
+2019-06-01 18:00:00,,11.8,32.0
+2019-06-01 19:00:00,,11.8,36.0
+2019-06-01 20:00:00,,14.5,38.0
+2019-06-01 21:00:00,,24.6,41.0
+2019-06-01 22:00:00,,43.6,44.0
+2019-06-01 23:00:00,,49.4,52.0
+2019-06-02 00:00:00,,48.1,52.0
+2019-06-02 01:00:00,,32.7,44.0
+2019-06-02 02:00:00,,38.1,44.0
+2019-06-02 03:00:00,,38.2,43.0
+2019-06-02 04:00:00,,39.2,43.0
+2019-06-02 05:00:00,,23.2,37.0
+2019-06-02 06:00:00,,24.5,37.0
+2019-06-02 07:00:00,,37.2,32.0
+2019-06-02 08:00:00,,24.1,32.0
+2019-06-02 09:00:00,,18.1,30.0
+2019-06-02 10:00:00,,19.5,32.0
+2019-06-02 11:00:00,,21.0,35.0
+2019-06-02 12:00:00,,18.1,36.0
+2019-06-02 13:00:00,,13.1,35.0
+2019-06-02 14:00:00,,11.5,34.0
+2019-06-02 15:00:00,,13.0,36.0
+2019-06-02 16:00:00,,15.0,33.0
+2019-06-02 17:00:00,,13.9,32.0
+2019-06-02 18:00:00,,14.4,32.0
+2019-06-02 19:00:00,,14.4,34.0
+2019-06-02 20:00:00,,15.6,34.0
+2019-06-02 21:00:00,,25.8,32.0
+2019-06-02 22:00:00,,40.9,28.0
+2019-06-02 23:00:00,,36.9,27.0
+2019-06-03 00:00:00,,27.6,27.0
+2019-06-03 01:00:00,,17.9,21.0
+2019-06-03 02:00:00,,15.7,21.0
+2019-06-03 03:00:00,,11.8,11.0
+2019-06-03 04:00:00,,11.7,11.0
+2019-06-03 05:00:00,,9.8,3.0
+2019-06-03 06:00:00,,11.4,3.0
+2019-06-03 07:00:00,,29.0,5.0
+2019-06-03 08:00:00,,44.1,6.0
+2019-06-03 09:00:00,,50.0,7.0
+2019-06-03 10:00:00,,43.9,5.0
+2019-06-03 11:00:00,,46.0,11.0
+2019-06-03 12:00:00,,31.7,16.0
+2019-06-03 13:00:00,,27.5,14.0
+2019-06-03 14:00:00,,22.1,15.0
+2019-06-03 15:00:00,,25.8,17.0
+2019-06-03 16:00:00,,23.2,21.0
+2019-06-03 17:00:00,,24.8,22.0
+2019-06-03 18:00:00,,25.3,24.0
+2019-06-03 19:00:00,,24.4,24.0
+2019-06-03 20:00:00,,23.1,23.0
+2019-06-03 21:00:00,,28.9,20.0
+2019-06-03 22:00:00,,33.0,20.0
+2019-06-03 23:00:00,,31.1,17.0
+2019-06-04 00:00:00,,30.5,17.0
+2019-06-04 01:00:00,,44.6,12.0
+2019-06-04 02:00:00,,52.4,12.0
+2019-06-04 03:00:00,,43.9,8.0
+2019-06-04 04:00:00,,35.0,8.0
+2019-06-04 05:00:00,,41.6,5.0
+2019-06-04 06:00:00,,28.8,5.0
+2019-06-04 07:00:00,,36.5,14.0
+2019-06-04 08:00:00,,47.7,18.0
+2019-06-04 09:00:00,,53.5,22.0
+2019-06-04 10:00:00,,50.8,35.0
+2019-06-04 11:00:00,,38.5,31.0
+2019-06-04 12:00:00,,23.3,32.0
+2019-06-04 13:00:00,,19.6,35.0
+2019-06-04 14:00:00,,17.7,37.0
+2019-06-04 15:00:00,,17.4,36.0
+2019-06-04 16:00:00,,18.1,38.0
+2019-06-04 17:00:00,,21.5,38.0
+2019-06-04 18:00:00,,26.3,40.0
+2019-06-04 19:00:00,,23.4,29.0
+2019-06-04 20:00:00,,25.2,20.0
+2019-06-04 21:00:00,,17.0,18.0
+2019-06-04 22:00:00,,16.9,17.0
+2019-06-04 23:00:00,,26.3,17.0
+2019-06-05 00:00:00,,33.5,17.0
+2019-06-05 01:00:00,,17.8,13.0
+2019-06-05 02:00:00,,15.7,13.0
+2019-06-05 03:00:00,15.0,10.8,4.0
+2019-06-05 04:00:00,,12.4,4.0
+2019-06-05 05:00:00,,16.2,6.0
+2019-06-05 06:00:00,,24.5,6.0
+2019-06-05 07:00:00,,39.2,2.0
+2019-06-05 08:00:00,,35.8,1.0
+2019-06-05 09:00:00,,36.9,0.0
+2019-06-05 10:00:00,,35.3,0.0
+2019-06-05 11:00:00,,36.8,5.0
+2019-06-05 12:00:00,,42.1,7.0
+2019-06-05 13:00:00,,59.0,9.0
+2019-06-05 14:00:00,,47.2,14.0
+2019-06-05 15:00:00,,33.6,20.0
+2019-06-05 16:00:00,,38.3,20.0
+2019-06-05 17:00:00,,53.5,19.0
+2019-06-05 18:00:00,,37.9,19.0
+2019-06-05 19:00:00,,48.8,19.0
+2019-06-05 20:00:00,,40.8,19.0
+2019-06-05 21:00:00,,37.8,19.0
+2019-06-05 22:00:00,,37.5,19.0
+2019-06-05 23:00:00,,33.7,17.0
+2019-06-06 00:00:00,,30.3,17.0
+2019-06-06 01:00:00,,31.8,8.0
+2019-06-06 02:00:00,,23.8,
+2019-06-06 03:00:00,,18.0,4.0
+2019-06-06 04:00:00,,15.2,4.0
+2019-06-06 05:00:00,,19.2,0.0
+2019-06-06 06:00:00,,28.4,0.0
+2019-06-06 07:00:00,,40.3,1.0
+2019-06-06 08:00:00,,40.5,3.0
+2019-06-06 09:00:00,,43.1,0.0
+2019-06-06 10:00:00,,36.0,1.0
+2019-06-06 11:00:00,,26.0,7.0
+2019-06-06 12:00:00,,21.2,7.0
+2019-06-06 13:00:00,,16.4,12.0
+2019-06-06 14:00:00,,16.5,10.0
+2019-06-06 15:00:00,,16.0,11.0
+2019-06-06 16:00:00,,15.1,16.0
+2019-06-06 17:00:00,,,22.0
+2019-06-06 18:00:00,,,24.0
+2019-06-06 19:00:00,,,24.0
+2019-06-06 20:00:00,,,24.0
+2019-06-06 21:00:00,,,22.0
+2019-06-06 22:00:00,,,24.0
+2019-06-06 23:00:00,,,21.0
+2019-06-07 00:00:00,,,21.0
+2019-06-07 01:00:00,,,23.0
+2019-06-07 02:00:00,,,23.0
+2019-06-07 03:00:00,,,27.0
+2019-06-07 04:00:00,,,27.0
+2019-06-07 05:00:00,,,23.0
+2019-06-07 06:00:00,,,23.0
+2019-06-07 07:00:00,,,25.0
+2019-06-07 08:00:00,,28.9,23.0
+2019-06-07 09:00:00,,23.0,24.0
+2019-06-07 10:00:00,,29.3,25.0
+2019-06-07 11:00:00,,34.5,23.0
+2019-06-07 12:00:00,,32.1,25.0
+2019-06-07 13:00:00,,26.7,27.0
+2019-06-07 14:00:00,,17.8,20.0
+2019-06-07 15:00:00,,15.0,15.0
+2019-06-07 16:00:00,,13.1,15.0
+2019-06-07 17:00:00,,15.6,21.0
+2019-06-07 18:00:00,,19.5,24.0
+2019-06-07 19:00:00,,19.5,27.0
+2019-06-07 20:00:00,,19.1,35.0
+2019-06-07 21:00:00,,19.9,36.0
+2019-06-07 22:00:00,,19.4,35.0
+2019-06-07 23:00:00,,16.3,
+2019-06-08 00:00:00,,14.7,33.0
+2019-06-08 01:00:00,,14.4,28.0
+2019-06-08 02:00:00,,11.3,
+2019-06-08 03:00:00,,9.6,7.0
+2019-06-08 04:00:00,,8.4,7.0
+2019-06-08 05:00:00,,9.8,3.0
+2019-06-08 06:00:00,,10.7,3.0
+2019-06-08 07:00:00,,14.1,2.0
+2019-06-08 08:00:00,,13.8,3.0
+2019-06-08 09:00:00,,14.0,4.0
+2019-06-08 10:00:00,,13.0,2.0
+2019-06-08 11:00:00,,11.7,3.0
+2019-06-08 12:00:00,,10.3,4.0
+2019-06-08 13:00:00,,10.4,8.0
+2019-06-08 14:00:00,,9.2,10.0
+2019-06-08 15:00:00,,11.1,13.0
+2019-06-08 16:00:00,,10.3,17.0
+2019-06-08 17:00:00,,11.7,19.0
+2019-06-08 18:00:00,,14.1,20.0
+2019-06-08 19:00:00,,14.8,20.0
+2019-06-08 20:00:00,,22.0,19.0
+2019-06-08 21:00:00,,,17.0
+2019-06-08 22:00:00,,,16.0
+2019-06-08 23:00:00,,36.7,
+2019-06-09 00:00:00,,34.8,20.0
+2019-06-09 01:00:00,,47.0,10.0
+2019-06-09 02:00:00,,55.9,10.0
+2019-06-09 03:00:00,10.0,41.0,7.0
+2019-06-09 04:00:00,,51.2,7.0
+2019-06-09 05:00:00,,51.5,1.0
+2019-06-09 06:00:00,,43.0,1.0
+2019-06-09 07:00:00,,42.2,5.0
+2019-06-09 08:00:00,,36.7,1.0
+2019-06-09 09:00:00,,32.7,0.0
+2019-06-09 10:00:00,,30.2,0.0
+2019-06-09 11:00:00,,25.0,2.0
+2019-06-09 12:00:00,,16.6,5.0
+2019-06-09 13:00:00,,14.6,8.0
+2019-06-09 14:00:00,,14.6,13.0
+2019-06-09 15:00:00,,10.2,17.0
+2019-06-09 16:00:00,,7.9,19.0
+2019-06-09 17:00:00,,7.2,24.0
+2019-06-09 18:00:00,,10.3,26.0
+2019-06-09 19:00:00,,13.0,20.0
+2019-06-09 20:00:00,,19.5,21.0
+2019-06-09 21:00:00,,30.6,21.0
+2019-06-09 22:00:00,,33.2,22.0
+2019-06-09 23:00:00,,30.9,
+2019-06-10 00:00:00,,37.1,24.0
+2019-06-10 01:00:00,,39.9,21.0
+2019-06-10 02:00:00,,28.1,21.0
+2019-06-10 03:00:00,18.5,19.3,25.0
+2019-06-10 04:00:00,,17.8,25.0
+2019-06-10 05:00:00,,18.0,24.0
+2019-06-10 06:00:00,,13.7,24.0
+2019-06-10 07:00:00,,21.3,24.0
+2019-06-10 08:00:00,,26.7,22.0
+2019-06-10 09:00:00,,23.0,27.0
+2019-06-10 10:00:00,,16.9,34.0
+2019-06-10 11:00:00,,18.5,45.0
+2019-06-10 12:00:00,,14.1,41.0
+2019-06-10 13:00:00,,12.2,45.0
+2019-06-10 14:00:00,,11.7,51.0
+2019-06-10 15:00:00,,9.6,40.0
+2019-06-10 16:00:00,,9.5,40.0
+2019-06-10 17:00:00,,11.7,31.0
+2019-06-10 18:00:00,,15.1,28.0
+2019-06-10 19:00:00,,19.1,26.0
+2019-06-10 20:00:00,,18.4,25.0
+2019-06-10 21:00:00,,22.3,26.0
+2019-06-10 22:00:00,,22.6,24.0
+2019-06-10 23:00:00,,23.5,23.0
+2019-06-11 00:00:00,,24.8,23.0
+2019-06-11 01:00:00,,24.1,15.0
+2019-06-11 02:00:00,,19.6,15.0
+2019-06-11 03:00:00,7.5,19.1,16.0
+2019-06-11 04:00:00,,29.6,16.0
+2019-06-11 05:00:00,,32.3,13.0
+2019-06-11 06:00:00,,52.7,13.0
+2019-06-11 07:00:00,,58.7,17.0
+2019-06-11 08:00:00,,55.4,18.0
+2019-06-11 09:00:00,,58.0,21.0
+2019-06-11 10:00:00,,43.6,23.0
+2019-06-11 11:00:00,,31.7,22.0
+2019-06-11 12:00:00,,22.1,22.0
+2019-06-11 13:00:00,,17.3,23.0
+2019-06-11 14:00:00,,12.6,26.0
+2019-06-11 15:00:00,,13.1,35.0
+2019-06-11 16:00:00,,16.6,31.0
+2019-06-11 17:00:00,,19.8,31.0
+2019-06-11 18:00:00,,22.6,30.0
+2019-06-11 19:00:00,,35.5,31.0
+2019-06-11 20:00:00,,44.6,30.0
+2019-06-11 21:00:00,,36.1,22.0
+2019-06-11 22:00:00,,42.7,22.0
+2019-06-11 23:00:00,,54.1,20.0
+2019-06-12 00:00:00,,59.4,20.0
+2019-06-12 01:00:00,,41.5,15.0
+2019-06-12 02:00:00,,37.2,
+2019-06-12 03:00:00,21.0,41.9,
+2019-06-12 04:00:00,,34.7,11.0
+2019-06-12 05:00:00,,36.3,9.0
+2019-06-12 06:00:00,,44.9,9.0
+2019-06-12 07:00:00,,42.7,12.0
+2019-06-12 08:00:00,,38.4,17.0
+2019-06-12 09:00:00,,44.4,20.0
+2019-06-12 10:00:00,,35.5,22.0
+2019-06-12 11:00:00,,26.7,25.0
+2019-06-12 12:00:00,,0.0,35.0
+2019-06-12 13:00:00,,0.0,33.0
+2019-06-12 14:00:00,,15.4,33.0
+2019-06-12 15:00:00,,17.9,35.0
+2019-06-12 16:00:00,,20.3,42.0
+2019-06-12 17:00:00,,16.8,45.0
+2019-06-12 18:00:00,,23.6,43.0
+2019-06-12 19:00:00,,24.2,45.0
+2019-06-12 20:00:00,,25.3,33.0
+2019-06-12 21:00:00,,23.4,41.0
+2019-06-12 22:00:00,,29.2,43.0
+2019-06-12 23:00:00,,29.3,
+2019-06-13 00:00:00,,25.6,35.0
+2019-06-13 01:00:00,,26.9,29.0
+2019-06-13 02:00:00,,20.0,
+2019-06-13 03:00:00,28.5,18.7,26.0
+2019-06-13 04:00:00,,18.0,26.0
+2019-06-13 05:00:00,,18.8,16.0
+2019-06-13 06:00:00,,24.6,16.0
+2019-06-13 07:00:00,,37.0,19.0
+2019-06-13 08:00:00,,39.8,21.0
+2019-06-13 09:00:00,,40.9,19.0
+2019-06-13 10:00:00,,35.3,16.0
+2019-06-13 11:00:00,,30.2,18.0
+2019-06-13 12:00:00,,24.5,19.0
+2019-06-13 13:00:00,,22.7,19.0
+2019-06-13 14:00:00,,17.9,16.0
+2019-06-13 15:00:00,,18.2,15.0
+2019-06-13 16:00:00,,19.4,13.0
+2019-06-13 17:00:00,,28.8,11.0
+2019-06-13 18:00:00,,36.1,15.0
+2019-06-13 19:00:00,,38.2,14.0
+2019-06-13 20:00:00,,24.0,13.0
+2019-06-13 21:00:00,,27.5,14.0
+2019-06-13 22:00:00,,31.5,15.0
+2019-06-13 23:00:00,,58.8,15.0
+2019-06-14 00:00:00,,77.9,15.0
+2019-06-14 01:00:00,,78.3,13.0
+2019-06-14 02:00:00,,74.2,
+2019-06-14 03:00:00,,68.1,8.0
+2019-06-14 04:00:00,,66.6,8.0
+2019-06-14 05:00:00,,48.5,6.0
+2019-06-14 06:00:00,,37.9,6.0
+2019-06-14 07:00:00,,49.3,13.0
+2019-06-14 08:00:00,,64.3,11.0
+2019-06-14 09:00:00,,51.5,11.0
+2019-06-14 10:00:00,,34.3,14.0
+2019-06-14 11:00:00,36.5,27.9,13.0
+2019-06-14 12:00:00,,25.1,13.0
+2019-06-14 13:00:00,,21.8,15.0
+2019-06-14 14:00:00,,17.1,16.0
+2019-06-14 15:00:00,,15.4,22.0
+2019-06-14 16:00:00,,14.2,25.0
+2019-06-14 17:00:00,,15.2,25.0
+2019-06-14 18:00:00,,18.9,26.0
+2019-06-14 19:00:00,,16.6,27.0
+2019-06-14 20:00:00,,19.0,26.0
+2019-06-14 21:00:00,,25.0,26.0
+2019-06-14 22:00:00,,41.9,25.0
+2019-06-14 23:00:00,,55.0,26.0
+2019-06-15 00:00:00,,35.3,26.0
+2019-06-15 01:00:00,,32.1,26.0
+2019-06-15 02:00:00,,29.6,
+2019-06-15 03:00:00,17.5,29.0,
+2019-06-15 04:00:00,,33.9,
+2019-06-15 05:00:00,,,10.0
+2019-06-15 06:00:00,,,10.0
+2019-06-15 07:00:00,,,13.0
+2019-06-15 08:00:00,,35.8,13.0
+2019-06-15 09:00:00,,24.1,8.0
+2019-06-15 10:00:00,,17.6,8.0
+2019-06-15 11:00:00,,14.0,12.0
+2019-06-15 12:00:00,,12.1,14.0
+2019-06-15 13:00:00,,11.1,13.0
+2019-06-15 14:00:00,,9.4,18.0
+2019-06-15 15:00:00,,9.0,17.0
+2019-06-15 16:00:00,,9.6,18.0
+2019-06-15 17:00:00,,10.5,18.0
+2019-06-15 18:00:00,,10.7,20.0
+2019-06-15 19:00:00,,11.1,22.0
+2019-06-15 20:00:00,,14.0,22.0
+2019-06-15 21:00:00,,14.2,21.0
+2019-06-15 22:00:00,,15.2,20.0
+2019-06-15 23:00:00,,17.2,19.0
+2019-06-16 00:00:00,,20.1,19.0
+2019-06-16 01:00:00,,22.6,15.0
+2019-06-16 02:00:00,,16.5,15.0
+2019-06-16 03:00:00,42.5,12.8,12.0
+2019-06-16 04:00:00,,11.4,12.0
+2019-06-16 05:00:00,,11.2,10.0
+2019-06-16 06:00:00,,11.7,10.0
+2019-06-16 07:00:00,,14.0,8.0
+2019-06-16 08:00:00,,11.6,5.0
+2019-06-16 09:00:00,,10.2,4.0
+2019-06-16 10:00:00,,9.9,5.0
+2019-06-16 11:00:00,,9.4,6.0
+2019-06-16 12:00:00,,8.7,6.0
+2019-06-16 13:00:00,,12.9,10.0
+2019-06-16 14:00:00,,11.2,16.0
+2019-06-16 15:00:00,,8.7,23.0
+2019-06-16 16:00:00,,8.1,26.0
+2019-06-16 17:00:00,,8.4,29.0
+2019-06-16 18:00:00,,9.2,29.0
+2019-06-16 19:00:00,,11.8,28.0
+2019-06-16 20:00:00,,12.3,28.0
+2019-06-16 21:00:00,,14.4,27.0
+2019-06-16 22:00:00,,23.3,25.0
+2019-06-16 23:00:00,,42.7,
+2019-06-17 00:00:00,,56.6,23.0
+2019-06-17 01:00:00,,67.3,17.0
+2019-06-17 02:00:00,,69.3,17.0
+2019-06-17 03:00:00,42.0,58.8,14.0
+2019-06-17 04:00:00,35.5,53.1,14.0
+2019-06-17 05:00:00,36.0,49.1,11.0
+2019-06-17 06:00:00,39.5,45.7,11.0
+2019-06-17 07:00:00,42.5,44.8,12.0
+2019-06-17 08:00:00,43.5,52.3,13.0
+2019-06-17 09:00:00,45.0,54.4,13.0
+2019-06-17 10:00:00,41.0,51.6,11.0
+2019-06-17 11:00:00,,30.4,11.0
+2019-06-17 12:00:00,,16.0,11.0
+2019-06-17 13:00:00,,15.2,
+2019-06-17 14:00:00,,10.1,
+2019-06-17 15:00:00,,9.6,
+2019-06-17 16:00:00,,11.5,
+2019-06-17 17:00:00,,13.1,
+2019-06-17 18:00:00,,11.9,
+2019-06-17 19:00:00,,14.9,
+2019-06-17 20:00:00,,15.4,
+2019-06-17 21:00:00,,15.2,
+2019-06-17 22:00:00,,20.5,
+2019-06-17 23:00:00,,38.3,
+2019-06-18 00:00:00,,51.0,
+2019-06-18 01:00:00,,73.3,
+2019-06-18 02:00:00,,66.2,
+2019-06-18 03:00:00,,60.1,
+2019-06-18 04:00:00,,39.8,
+2019-06-18 05:00:00,,45.5,
+2019-06-18 06:00:00,,26.5,
+2019-06-18 07:00:00,,33.8,
+2019-06-18 08:00:00,,51.4,
+2019-06-18 09:00:00,,52.6,
+2019-06-18 10:00:00,,49.6,
+2019-06-18 21:00:00,,15.3,
+2019-06-18 22:00:00,,17.0,
+2019-06-18 23:00:00,,23.1,
+2019-06-19 00:00:00,,39.3,
+2019-06-19 11:00:00,,27.3,
+2019-06-19 12:00:00,,26.6,
+2019-06-20 15:00:00,,19.4,
+2019-06-20 16:00:00,,20.1,
+2019-06-20 17:00:00,,19.3,
+2019-06-20 18:00:00,,19.0,
+2019-06-20 19:00:00,,23.2,
+2019-06-20 20:00:00,,23.9,
+2019-06-20 21:00:00,,25.3,
+2019-06-20 22:00:00,,21.4,
+2019-06-20 23:00:00,,24.9,
+2019-06-21 00:00:00,,26.5,
+2019-06-21 01:00:00,,21.8,
+2019-06-21 02:00:00,,20.0,
diff --git a/doc/data/air_quality_no2_long.csv b/doc/data/air_quality_no2_long.csv
new file mode 100644
index 0000000000000..5d959370b7d48
--- /dev/null
+++ b/doc/data/air_quality_no2_long.csv
@@ -0,0 +1,2069 @@
+city,country,date.utc,location,parameter,value,unit
+Paris,FR,2019-06-21 00:00:00+00:00,FR04014,no2,20.0,µg/m³
+Paris,FR,2019-06-20 23:00:00+00:00,FR04014,no2,21.8,µg/m³
+Paris,FR,2019-06-20 22:00:00+00:00,FR04014,no2,26.5,µg/m³
+Paris,FR,2019-06-20 21:00:00+00:00,FR04014,no2,24.9,µg/m³
+Paris,FR,2019-06-20 20:00:00+00:00,FR04014,no2,21.4,µg/m³
+Paris,FR,2019-06-20 19:00:00+00:00,FR04014,no2,25.3,µg/m³
+Paris,FR,2019-06-20 18:00:00+00:00,FR04014,no2,23.9,µg/m³
+Paris,FR,2019-06-20 17:00:00+00:00,FR04014,no2,23.2,µg/m³
+Paris,FR,2019-06-20 16:00:00+00:00,FR04014,no2,19.0,µg/m³
+Paris,FR,2019-06-20 15:00:00+00:00,FR04014,no2,19.3,µg/m³
+Paris,FR,2019-06-20 14:00:00+00:00,FR04014,no2,20.1,µg/m³
+Paris,FR,2019-06-20 13:00:00+00:00,FR04014,no2,19.4,µg/m³
+Paris,FR,2019-06-19 10:00:00+00:00,FR04014,no2,26.6,µg/m³
+Paris,FR,2019-06-19 09:00:00+00:00,FR04014,no2,27.3,µg/m³
+Paris,FR,2019-06-18 22:00:00+00:00,FR04014,no2,39.3,µg/m³
+Paris,FR,2019-06-18 21:00:00+00:00,FR04014,no2,23.1,µg/m³
+Paris,FR,2019-06-18 20:00:00+00:00,FR04014,no2,17.0,µg/m³
+Paris,FR,2019-06-18 19:00:00+00:00,FR04014,no2,15.3,µg/m³
+Paris,FR,2019-06-18 08:00:00+00:00,FR04014,no2,49.6,µg/m³
+Paris,FR,2019-06-18 07:00:00+00:00,FR04014,no2,52.6,µg/m³
+Paris,FR,2019-06-18 06:00:00+00:00,FR04014,no2,51.4,µg/m³
+Paris,FR,2019-06-18 05:00:00+00:00,FR04014,no2,33.8,µg/m³
+Paris,FR,2019-06-18 04:00:00+00:00,FR04014,no2,26.5,µg/m³
+Paris,FR,2019-06-18 03:00:00+00:00,FR04014,no2,45.5,µg/m³
+Paris,FR,2019-06-18 02:00:00+00:00,FR04014,no2,39.8,µg/m³
+Paris,FR,2019-06-18 01:00:00+00:00,FR04014,no2,60.1,µg/m³
+Paris,FR,2019-06-18 00:00:00+00:00,FR04014,no2,66.2,µg/m³
+Paris,FR,2019-06-17 23:00:00+00:00,FR04014,no2,73.3,µg/m³
+Paris,FR,2019-06-17 22:00:00+00:00,FR04014,no2,51.0,µg/m³
+Paris,FR,2019-06-17 21:00:00+00:00,FR04014,no2,38.3,µg/m³
+Paris,FR,2019-06-17 20:00:00+00:00,FR04014,no2,20.5,µg/m³
+Paris,FR,2019-06-17 19:00:00+00:00,FR04014,no2,15.2,µg/m³
+Paris,FR,2019-06-17 18:00:00+00:00,FR04014,no2,15.4,µg/m³
+Paris,FR,2019-06-17 17:00:00+00:00,FR04014,no2,14.9,µg/m³
+Paris,FR,2019-06-17 16:00:00+00:00,FR04014,no2,11.9,µg/m³
+Paris,FR,2019-06-17 15:00:00+00:00,FR04014,no2,13.1,µg/m³
+Paris,FR,2019-06-17 14:00:00+00:00,FR04014,no2,11.5,µg/m³
+Paris,FR,2019-06-17 13:00:00+00:00,FR04014,no2,9.6,µg/m³
+Paris,FR,2019-06-17 12:00:00+00:00,FR04014,no2,10.1,µg/m³
+Paris,FR,2019-06-17 11:00:00+00:00,FR04014,no2,15.2,µg/m³
+Paris,FR,2019-06-17 10:00:00+00:00,FR04014,no2,16.0,µg/m³
+Paris,FR,2019-06-17 09:00:00+00:00,FR04014,no2,30.4,µg/m³
+Paris,FR,2019-06-17 08:00:00+00:00,FR04014,no2,51.6,µg/m³
+Paris,FR,2019-06-17 07:00:00+00:00,FR04014,no2,54.4,µg/m³
+Paris,FR,2019-06-17 06:00:00+00:00,FR04014,no2,52.3,µg/m³
+Paris,FR,2019-06-17 05:00:00+00:00,FR04014,no2,44.8,µg/m³
+Paris,FR,2019-06-17 04:00:00+00:00,FR04014,no2,45.7,µg/m³
+Paris,FR,2019-06-17 03:00:00+00:00,FR04014,no2,49.1,µg/m³
+Paris,FR,2019-06-17 02:00:00+00:00,FR04014,no2,53.1,µg/m³
+Paris,FR,2019-06-17 01:00:00+00:00,FR04014,no2,58.8,µg/m³
+Paris,FR,2019-06-17 00:00:00+00:00,FR04014,no2,69.3,µg/m³
+Paris,FR,2019-06-16 23:00:00+00:00,FR04014,no2,67.3,µg/m³
+Paris,FR,2019-06-16 22:00:00+00:00,FR04014,no2,56.6,µg/m³
+Paris,FR,2019-06-16 21:00:00+00:00,FR04014,no2,42.7,µg/m³
+Paris,FR,2019-06-16 20:00:00+00:00,FR04014,no2,23.3,µg/m³
+Paris,FR,2019-06-16 19:00:00+00:00,FR04014,no2,14.4,µg/m³
+Paris,FR,2019-06-16 18:00:00+00:00,FR04014,no2,12.3,µg/m³
+Paris,FR,2019-06-16 17:00:00+00:00,FR04014,no2,11.8,µg/m³
+Paris,FR,2019-06-16 16:00:00+00:00,FR04014,no2,9.2,µg/m³
+Paris,FR,2019-06-16 15:00:00+00:00,FR04014,no2,8.4,µg/m³
+Paris,FR,2019-06-16 14:00:00+00:00,FR04014,no2,8.1,µg/m³
+Paris,FR,2019-06-16 13:00:00+00:00,FR04014,no2,8.7,µg/m³
+Paris,FR,2019-06-16 12:00:00+00:00,FR04014,no2,11.2,µg/m³
+Paris,FR,2019-06-16 11:00:00+00:00,FR04014,no2,12.9,µg/m³
+Paris,FR,2019-06-16 10:00:00+00:00,FR04014,no2,8.7,µg/m³
+Paris,FR,2019-06-16 09:00:00+00:00,FR04014,no2,9.4,µg/m³
+Paris,FR,2019-06-16 08:00:00+00:00,FR04014,no2,9.9,µg/m³
+Paris,FR,2019-06-16 07:00:00+00:00,FR04014,no2,10.2,µg/m³
+Paris,FR,2019-06-16 06:00:00+00:00,FR04014,no2,11.6,µg/m³
+Paris,FR,2019-06-16 05:00:00+00:00,FR04014,no2,14.0,µg/m³
+Paris,FR,2019-06-16 04:00:00+00:00,FR04014,no2,11.7,µg/m³
+Paris,FR,2019-06-16 03:00:00+00:00,FR04014,no2,11.2,µg/m³
+Paris,FR,2019-06-16 02:00:00+00:00,FR04014,no2,11.4,µg/m³
+Paris,FR,2019-06-16 01:00:00+00:00,FR04014,no2,12.8,µg/m³
+Paris,FR,2019-06-16 00:00:00+00:00,FR04014,no2,16.5,µg/m³
+Paris,FR,2019-06-15 23:00:00+00:00,FR04014,no2,22.6,µg/m³
+Paris,FR,2019-06-15 22:00:00+00:00,FR04014,no2,20.1,µg/m³
+Paris,FR,2019-06-15 21:00:00+00:00,FR04014,no2,17.2,µg/m³
+Paris,FR,2019-06-15 20:00:00+00:00,FR04014,no2,15.2,µg/m³
+Paris,FR,2019-06-15 19:00:00+00:00,FR04014,no2,14.2,µg/m³
+Paris,FR,2019-06-15 18:00:00+00:00,FR04014,no2,14.0,µg/m³
+Paris,FR,2019-06-15 17:00:00+00:00,FR04014,no2,11.1,µg/m³
+Paris,FR,2019-06-15 16:00:00+00:00,FR04014,no2,10.7,µg/m³
+Paris,FR,2019-06-15 15:00:00+00:00,FR04014,no2,10.5,µg/m³
+Paris,FR,2019-06-15 14:00:00+00:00,FR04014,no2,9.6,µg/m³
+Paris,FR,2019-06-15 13:00:00+00:00,FR04014,no2,9.0,µg/m³
+Paris,FR,2019-06-15 12:00:00+00:00,FR04014,no2,9.4,µg/m³
+Paris,FR,2019-06-15 11:00:00+00:00,FR04014,no2,11.1,µg/m³
+Paris,FR,2019-06-15 10:00:00+00:00,FR04014,no2,12.1,µg/m³
+Paris,FR,2019-06-15 09:00:00+00:00,FR04014,no2,14.0,µg/m³
+Paris,FR,2019-06-15 08:00:00+00:00,FR04014,no2,17.6,µg/m³
+Paris,FR,2019-06-15 07:00:00+00:00,FR04014,no2,24.1,µg/m³
+Paris,FR,2019-06-15 06:00:00+00:00,FR04014,no2,35.8,µg/m³
+Paris,FR,2019-06-15 02:00:00+00:00,FR04014,no2,33.9,µg/m³
+Paris,FR,2019-06-15 01:00:00+00:00,FR04014,no2,29.0,µg/m³
+Paris,FR,2019-06-15 00:00:00+00:00,FR04014,no2,29.6,µg/m³
+Paris,FR,2019-06-14 23:00:00+00:00,FR04014,no2,32.1,µg/m³
+Paris,FR,2019-06-14 22:00:00+00:00,FR04014,no2,35.3,µg/m³
+Paris,FR,2019-06-14 21:00:00+00:00,FR04014,no2,55.0,µg/m³
+Paris,FR,2019-06-14 20:00:00+00:00,FR04014,no2,41.9,µg/m³
+Paris,FR,2019-06-14 19:00:00+00:00,FR04014,no2,25.0,µg/m³
+Paris,FR,2019-06-14 18:00:00+00:00,FR04014,no2,19.0,µg/m³
+Paris,FR,2019-06-14 17:00:00+00:00,FR04014,no2,16.6,µg/m³
+Paris,FR,2019-06-14 16:00:00+00:00,FR04014,no2,18.9,µg/m³
+Paris,FR,2019-06-14 15:00:00+00:00,FR04014,no2,15.2,µg/m³
+Paris,FR,2019-06-14 14:00:00+00:00,FR04014,no2,14.2,µg/m³
+Paris,FR,2019-06-14 13:00:00+00:00,FR04014,no2,15.4,µg/m³
+Paris,FR,2019-06-14 12:00:00+00:00,FR04014,no2,17.1,µg/m³
+Paris,FR,2019-06-14 11:00:00+00:00,FR04014,no2,21.8,µg/m³
+Paris,FR,2019-06-14 10:00:00+00:00,FR04014,no2,25.1,µg/m³
+Paris,FR,2019-06-14 09:00:00+00:00,FR04014,no2,27.9,µg/m³
+Paris,FR,2019-06-14 08:00:00+00:00,FR04014,no2,34.3,µg/m³
+Paris,FR,2019-06-14 07:00:00+00:00,FR04014,no2,51.5,µg/m³
+Paris,FR,2019-06-14 06:00:00+00:00,FR04014,no2,64.3,µg/m³
+Paris,FR,2019-06-14 05:00:00+00:00,FR04014,no2,49.3,µg/m³
+Paris,FR,2019-06-14 04:00:00+00:00,FR04014,no2,37.9,µg/m³
+Paris,FR,2019-06-14 03:00:00+00:00,FR04014,no2,48.5,µg/m³
+Paris,FR,2019-06-14 02:00:00+00:00,FR04014,no2,66.6,µg/m³
+Paris,FR,2019-06-14 01:00:00+00:00,FR04014,no2,68.1,µg/m³
+Paris,FR,2019-06-14 00:00:00+00:00,FR04014,no2,74.2,µg/m³
+Paris,FR,2019-06-13 23:00:00+00:00,FR04014,no2,78.3,µg/m³
+Paris,FR,2019-06-13 22:00:00+00:00,FR04014,no2,77.9,µg/m³
+Paris,FR,2019-06-13 21:00:00+00:00,FR04014,no2,58.8,µg/m³
+Paris,FR,2019-06-13 20:00:00+00:00,FR04014,no2,31.5,µg/m³
+Paris,FR,2019-06-13 19:00:00+00:00,FR04014,no2,27.5,µg/m³
+Paris,FR,2019-06-13 18:00:00+00:00,FR04014,no2,24.0,µg/m³
+Paris,FR,2019-06-13 17:00:00+00:00,FR04014,no2,38.2,µg/m³
+Paris,FR,2019-06-13 16:00:00+00:00,FR04014,no2,36.1,µg/m³
+Paris,FR,2019-06-13 15:00:00+00:00,FR04014,no2,28.8,µg/m³
+Paris,FR,2019-06-13 14:00:00+00:00,FR04014,no2,19.4,µg/m³
+Paris,FR,2019-06-13 13:00:00+00:00,FR04014,no2,18.2,µg/m³
+Paris,FR,2019-06-13 12:00:00+00:00,FR04014,no2,17.9,µg/m³
+Paris,FR,2019-06-13 11:00:00+00:00,FR04014,no2,22.7,µg/m³
+Paris,FR,2019-06-13 10:00:00+00:00,FR04014,no2,24.5,µg/m³
+Paris,FR,2019-06-13 09:00:00+00:00,FR04014,no2,30.2,µg/m³
+Paris,FR,2019-06-13 08:00:00+00:00,FR04014,no2,35.3,µg/m³
+Paris,FR,2019-06-13 07:00:00+00:00,FR04014,no2,40.9,µg/m³
+Paris,FR,2019-06-13 06:00:00+00:00,FR04014,no2,39.8,µg/m³
+Paris,FR,2019-06-13 05:00:00+00:00,FR04014,no2,37.0,µg/m³
+Paris,FR,2019-06-13 04:00:00+00:00,FR04014,no2,24.6,µg/m³
+Paris,FR,2019-06-13 03:00:00+00:00,FR04014,no2,18.8,µg/m³
+Paris,FR,2019-06-13 02:00:00+00:00,FR04014,no2,18.0,µg/m³
+Paris,FR,2019-06-13 01:00:00+00:00,FR04014,no2,18.7,µg/m³
+Paris,FR,2019-06-13 00:00:00+00:00,FR04014,no2,20.0,µg/m³
+Paris,FR,2019-06-12 23:00:00+00:00,FR04014,no2,26.9,µg/m³
+Paris,FR,2019-06-12 22:00:00+00:00,FR04014,no2,25.6,µg/m³
+Paris,FR,2019-06-12 21:00:00+00:00,FR04014,no2,29.3,µg/m³
+Paris,FR,2019-06-12 20:00:00+00:00,FR04014,no2,29.2,µg/m³
+Paris,FR,2019-06-12 19:00:00+00:00,FR04014,no2,23.4,µg/m³
+Paris,FR,2019-06-12 18:00:00+00:00,FR04014,no2,25.3,µg/m³
+Paris,FR,2019-06-12 17:00:00+00:00,FR04014,no2,24.2,µg/m³
+Paris,FR,2019-06-12 16:00:00+00:00,FR04014,no2,23.6,µg/m³
+Paris,FR,2019-06-12 15:00:00+00:00,FR04014,no2,16.8,µg/m³
+Paris,FR,2019-06-12 14:00:00+00:00,FR04014,no2,20.3,µg/m³
+Paris,FR,2019-06-12 13:00:00+00:00,FR04014,no2,17.9,µg/m³
+Paris,FR,2019-06-12 12:00:00+00:00,FR04014,no2,15.4,µg/m³
+Paris,FR,2019-06-12 11:00:00+00:00,FR04014,no2,0.0,µg/m³
+Paris,FR,2019-06-12 10:00:00+00:00,FR04014,no2,0.0,µg/m³
+Paris,FR,2019-06-12 09:00:00+00:00,FR04014,no2,26.7,µg/m³
+Paris,FR,2019-06-12 08:00:00+00:00,FR04014,no2,35.5,µg/m³
+Paris,FR,2019-06-12 07:00:00+00:00,FR04014,no2,44.4,µg/m³
+Paris,FR,2019-06-12 06:00:00+00:00,FR04014,no2,38.4,µg/m³
+Paris,FR,2019-06-12 05:00:00+00:00,FR04014,no2,42.7,µg/m³
+Paris,FR,2019-06-12 04:00:00+00:00,FR04014,no2,44.9,µg/m³
+Paris,FR,2019-06-12 03:00:00+00:00,FR04014,no2,36.3,µg/m³
+Paris,FR,2019-06-12 02:00:00+00:00,FR04014,no2,34.7,µg/m³
+Paris,FR,2019-06-12 01:00:00+00:00,FR04014,no2,41.9,µg/m³
+Paris,FR,2019-06-12 00:00:00+00:00,FR04014,no2,37.2,µg/m³
+Paris,FR,2019-06-11 23:00:00+00:00,FR04014,no2,41.5,µg/m³
+Paris,FR,2019-06-11 22:00:00+00:00,FR04014,no2,59.4,µg/m³
+Paris,FR,2019-06-11 21:00:00+00:00,FR04014,no2,54.1,µg/m³
+Paris,FR,2019-06-11 20:00:00+00:00,FR04014,no2,42.7,µg/m³
+Paris,FR,2019-06-11 19:00:00+00:00,FR04014,no2,36.1,µg/m³
+Paris,FR,2019-06-11 18:00:00+00:00,FR04014,no2,44.6,µg/m³
+Paris,FR,2019-06-11 17:00:00+00:00,FR04014,no2,35.5,µg/m³
+Paris,FR,2019-06-11 16:00:00+00:00,FR04014,no2,22.6,µg/m³
+Paris,FR,2019-06-11 15:00:00+00:00,FR04014,no2,19.8,µg/m³
+Paris,FR,2019-06-11 14:00:00+00:00,FR04014,no2,16.6,µg/m³
+Paris,FR,2019-06-11 13:00:00+00:00,FR04014,no2,13.1,µg/m³
+Paris,FR,2019-06-11 12:00:00+00:00,FR04014,no2,12.6,µg/m³
+Paris,FR,2019-06-11 11:00:00+00:00,FR04014,no2,17.3,µg/m³
+Paris,FR,2019-06-11 10:00:00+00:00,FR04014,no2,22.1,µg/m³
+Paris,FR,2019-06-11 09:00:00+00:00,FR04014,no2,31.7,µg/m³
+Paris,FR,2019-06-11 08:00:00+00:00,FR04014,no2,43.6,µg/m³
+Paris,FR,2019-06-11 07:00:00+00:00,FR04014,no2,58.0,µg/m³
+Paris,FR,2019-06-11 06:00:00+00:00,FR04014,no2,55.4,µg/m³
+Paris,FR,2019-06-11 05:00:00+00:00,FR04014,no2,58.7,µg/m³
+Paris,FR,2019-06-11 04:00:00+00:00,FR04014,no2,52.7,µg/m³
+Paris,FR,2019-06-11 03:00:00+00:00,FR04014,no2,32.3,µg/m³
+Paris,FR,2019-06-11 02:00:00+00:00,FR04014,no2,29.6,µg/m³
+Paris,FR,2019-06-11 01:00:00+00:00,FR04014,no2,19.1,µg/m³
+Paris,FR,2019-06-11 00:00:00+00:00,FR04014,no2,19.6,µg/m³
+Paris,FR,2019-06-10 23:00:00+00:00,FR04014,no2,24.1,µg/m³
+Paris,FR,2019-06-10 22:00:00+00:00,FR04014,no2,24.8,µg/m³
+Paris,FR,2019-06-10 21:00:00+00:00,FR04014,no2,23.5,µg/m³
+Paris,FR,2019-06-10 20:00:00+00:00,FR04014,no2,22.6,µg/m³
+Paris,FR,2019-06-10 19:00:00+00:00,FR04014,no2,22.3,µg/m³
+Paris,FR,2019-06-10 18:00:00+00:00,FR04014,no2,18.4,µg/m³
+Paris,FR,2019-06-10 17:00:00+00:00,FR04014,no2,19.1,µg/m³
+Paris,FR,2019-06-10 16:00:00+00:00,FR04014,no2,15.1,µg/m³
+Paris,FR,2019-06-10 15:00:00+00:00,FR04014,no2,11.7,µg/m³
+Paris,FR,2019-06-10 14:00:00+00:00,FR04014,no2,9.5,µg/m³
+Paris,FR,2019-06-10 13:00:00+00:00,FR04014,no2,9.6,µg/m³
+Paris,FR,2019-06-10 12:00:00+00:00,FR04014,no2,11.7,µg/m³
+Paris,FR,2019-06-10 11:00:00+00:00,FR04014,no2,12.2,µg/m³
+Paris,FR,2019-06-10 10:00:00+00:00,FR04014,no2,14.1,µg/m³
+Paris,FR,2019-06-10 09:00:00+00:00,FR04014,no2,18.5,µg/m³
+Paris,FR,2019-06-10 08:00:00+00:00,FR04014,no2,16.9,µg/m³
+Paris,FR,2019-06-10 07:00:00+00:00,FR04014,no2,23.0,µg/m³
+Paris,FR,2019-06-10 06:00:00+00:00,FR04014,no2,26.7,µg/m³
+Paris,FR,2019-06-10 05:00:00+00:00,FR04014,no2,21.3,µg/m³
+Paris,FR,2019-06-10 04:00:00+00:00,FR04014,no2,13.7,µg/m³
+Paris,FR,2019-06-10 03:00:00+00:00,FR04014,no2,18.0,µg/m³
+Paris,FR,2019-06-10 02:00:00+00:00,FR04014,no2,17.8,µg/m³
+Paris,FR,2019-06-10 01:00:00+00:00,FR04014,no2,19.3,µg/m³
+Paris,FR,2019-06-10 00:00:00+00:00,FR04014,no2,28.1,µg/m³
+Paris,FR,2019-06-09 23:00:00+00:00,FR04014,no2,39.9,µg/m³
+Paris,FR,2019-06-09 22:00:00+00:00,FR04014,no2,37.1,µg/m³
+Paris,FR,2019-06-09 21:00:00+00:00,FR04014,no2,30.9,µg/m³
+Paris,FR,2019-06-09 20:00:00+00:00,FR04014,no2,33.2,µg/m³
+Paris,FR,2019-06-09 19:00:00+00:00,FR04014,no2,30.6,µg/m³
+Paris,FR,2019-06-09 18:00:00+00:00,FR04014,no2,19.5,µg/m³
+Paris,FR,2019-06-09 17:00:00+00:00,FR04014,no2,13.0,µg/m³
+Paris,FR,2019-06-09 16:00:00+00:00,FR04014,no2,10.3,µg/m³
+Paris,FR,2019-06-09 15:00:00+00:00,FR04014,no2,7.2,µg/m³
+Paris,FR,2019-06-09 14:00:00+00:00,FR04014,no2,7.9,µg/m³
+Paris,FR,2019-06-09 13:00:00+00:00,FR04014,no2,10.2,µg/m³
+Paris,FR,2019-06-09 12:00:00+00:00,FR04014,no2,14.6,µg/m³
+Paris,FR,2019-06-09 11:00:00+00:00,FR04014,no2,14.6,µg/m³
+Paris,FR,2019-06-09 10:00:00+00:00,FR04014,no2,16.6,µg/m³
+Paris,FR,2019-06-09 09:00:00+00:00,FR04014,no2,25.0,µg/m³
+Paris,FR,2019-06-09 08:00:00+00:00,FR04014,no2,30.2,µg/m³
+Paris,FR,2019-06-09 07:00:00+00:00,FR04014,no2,32.7,µg/m³
+Paris,FR,2019-06-09 06:00:00+00:00,FR04014,no2,36.7,µg/m³
+Paris,FR,2019-06-09 05:00:00+00:00,FR04014,no2,42.2,µg/m³
+Paris,FR,2019-06-09 04:00:00+00:00,FR04014,no2,43.0,µg/m³
+Paris,FR,2019-06-09 03:00:00+00:00,FR04014,no2,51.5,µg/m³
+Paris,FR,2019-06-09 02:00:00+00:00,FR04014,no2,51.2,µg/m³
+Paris,FR,2019-06-09 01:00:00+00:00,FR04014,no2,41.0,µg/m³
+Paris,FR,2019-06-09 00:00:00+00:00,FR04014,no2,55.9,µg/m³
+Paris,FR,2019-06-08 23:00:00+00:00,FR04014,no2,47.0,µg/m³
+Paris,FR,2019-06-08 22:00:00+00:00,FR04014,no2,34.8,µg/m³
+Paris,FR,2019-06-08 21:00:00+00:00,FR04014,no2,36.7,µg/m³
+Paris,FR,2019-06-08 18:00:00+00:00,FR04014,no2,22.0,µg/m³
+Paris,FR,2019-06-08 17:00:00+00:00,FR04014,no2,14.8,µg/m³
+Paris,FR,2019-06-08 16:00:00+00:00,FR04014,no2,14.1,µg/m³
+Paris,FR,2019-06-08 15:00:00+00:00,FR04014,no2,11.7,µg/m³
+Paris,FR,2019-06-08 14:00:00+00:00,FR04014,no2,10.3,µg/m³
+Paris,FR,2019-06-08 13:00:00+00:00,FR04014,no2,11.1,µg/m³
+Paris,FR,2019-06-08 12:00:00+00:00,FR04014,no2,9.2,µg/m³
+Paris,FR,2019-06-08 11:00:00+00:00,FR04014,no2,10.4,µg/m³
+Paris,FR,2019-06-08 10:00:00+00:00,FR04014,no2,10.3,µg/m³
+Paris,FR,2019-06-08 09:00:00+00:00,FR04014,no2,11.7,µg/m³
+Paris,FR,2019-06-08 08:00:00+00:00,FR04014,no2,13.0,µg/m³
+Paris,FR,2019-06-08 07:00:00+00:00,FR04014,no2,14.0,µg/m³
+Paris,FR,2019-06-08 06:00:00+00:00,FR04014,no2,13.8,µg/m³
+Paris,FR,2019-06-08 05:00:00+00:00,FR04014,no2,14.1,µg/m³
+Paris,FR,2019-06-08 04:00:00+00:00,FR04014,no2,10.7,µg/m³
+Paris,FR,2019-06-08 03:00:00+00:00,FR04014,no2,9.8,µg/m³
+Paris,FR,2019-06-08 02:00:00+00:00,FR04014,no2,8.4,µg/m³
+Paris,FR,2019-06-08 01:00:00+00:00,FR04014,no2,9.6,µg/m³
+Paris,FR,2019-06-08 00:00:00+00:00,FR04014,no2,11.3,µg/m³
+Paris,FR,2019-06-07 23:00:00+00:00,FR04014,no2,14.4,µg/m³
+Paris,FR,2019-06-07 22:00:00+00:00,FR04014,no2,14.7,µg/m³
+Paris,FR,2019-06-07 21:00:00+00:00,FR04014,no2,16.3,µg/m³
+Paris,FR,2019-06-07 20:00:00+00:00,FR04014,no2,19.4,µg/m³
+Paris,FR,2019-06-07 19:00:00+00:00,FR04014,no2,19.9,µg/m³
+Paris,FR,2019-06-07 18:00:00+00:00,FR04014,no2,19.1,µg/m³
+Paris,FR,2019-06-07 17:00:00+00:00,FR04014,no2,19.5,µg/m³
+Paris,FR,2019-06-07 16:00:00+00:00,FR04014,no2,19.5,µg/m³
+Paris,FR,2019-06-07 15:00:00+00:00,FR04014,no2,15.6,µg/m³
+Paris,FR,2019-06-07 14:00:00+00:00,FR04014,no2,13.1,µg/m³
+Paris,FR,2019-06-07 13:00:00+00:00,FR04014,no2,15.0,µg/m³
+Paris,FR,2019-06-07 12:00:00+00:00,FR04014,no2,17.8,µg/m³
+Paris,FR,2019-06-07 11:00:00+00:00,FR04014,no2,26.7,µg/m³
+Paris,FR,2019-06-07 10:00:00+00:00,FR04014,no2,32.1,µg/m³
+Paris,FR,2019-06-07 09:00:00+00:00,FR04014,no2,34.5,µg/m³
+Paris,FR,2019-06-07 08:00:00+00:00,FR04014,no2,29.3,µg/m³
+Paris,FR,2019-06-07 07:00:00+00:00,FR04014,no2,23.0,µg/m³
+Paris,FR,2019-06-07 06:00:00+00:00,FR04014,no2,28.9,µg/m³
+Paris,FR,2019-06-06 14:00:00+00:00,FR04014,no2,15.1,µg/m³
+Paris,FR,2019-06-06 13:00:00+00:00,FR04014,no2,16.0,µg/m³
+Paris,FR,2019-06-06 12:00:00+00:00,FR04014,no2,16.5,µg/m³
+Paris,FR,2019-06-06 11:00:00+00:00,FR04014,no2,16.4,µg/m³
+Paris,FR,2019-06-06 10:00:00+00:00,FR04014,no2,21.2,µg/m³
+Paris,FR,2019-06-06 09:00:00+00:00,FR04014,no2,26.0,µg/m³
+Paris,FR,2019-06-06 08:00:00+00:00,FR04014,no2,36.0,µg/m³
+Paris,FR,2019-06-06 07:00:00+00:00,FR04014,no2,43.1,µg/m³
+Paris,FR,2019-06-06 06:00:00+00:00,FR04014,no2,40.5,µg/m³
+Paris,FR,2019-06-06 05:00:00+00:00,FR04014,no2,40.3,µg/m³
+Paris,FR,2019-06-06 04:00:00+00:00,FR04014,no2,28.4,µg/m³
+Paris,FR,2019-06-06 03:00:00+00:00,FR04014,no2,19.2,µg/m³
+Paris,FR,2019-06-06 02:00:00+00:00,FR04014,no2,15.2,µg/m³
+Paris,FR,2019-06-06 01:00:00+00:00,FR04014,no2,18.0,µg/m³
+Paris,FR,2019-06-06 00:00:00+00:00,FR04014,no2,23.8,µg/m³
+Paris,FR,2019-06-05 23:00:00+00:00,FR04014,no2,31.8,µg/m³
+Paris,FR,2019-06-05 22:00:00+00:00,FR04014,no2,30.3,µg/m³
+Paris,FR,2019-06-05 21:00:00+00:00,FR04014,no2,33.7,µg/m³
+Paris,FR,2019-06-05 20:00:00+00:00,FR04014,no2,37.5,µg/m³
+Paris,FR,2019-06-05 19:00:00+00:00,FR04014,no2,37.8,µg/m³
+Paris,FR,2019-06-05 18:00:00+00:00,FR04014,no2,40.8,µg/m³
+Paris,FR,2019-06-05 17:00:00+00:00,FR04014,no2,48.8,µg/m³
+Paris,FR,2019-06-05 16:00:00+00:00,FR04014,no2,37.9,µg/m³
+Paris,FR,2019-06-05 15:00:00+00:00,FR04014,no2,53.5,µg/m³
+Paris,FR,2019-06-05 14:00:00+00:00,FR04014,no2,38.3,µg/m³
+Paris,FR,2019-06-05 13:00:00+00:00,FR04014,no2,33.6,µg/m³
+Paris,FR,2019-06-05 12:00:00+00:00,FR04014,no2,47.2,µg/m³
+Paris,FR,2019-06-05 11:00:00+00:00,FR04014,no2,59.0,µg/m³
+Paris,FR,2019-06-05 10:00:00+00:00,FR04014,no2,42.1,µg/m³
+Paris,FR,2019-06-05 09:00:00+00:00,FR04014,no2,36.8,µg/m³
+Paris,FR,2019-06-05 08:00:00+00:00,FR04014,no2,35.3,µg/m³
+Paris,FR,2019-06-05 07:00:00+00:00,FR04014,no2,36.9,µg/m³
+Paris,FR,2019-06-05 06:00:00+00:00,FR04014,no2,35.8,µg/m³
+Paris,FR,2019-06-05 05:00:00+00:00,FR04014,no2,39.2,µg/m³
+Paris,FR,2019-06-05 04:00:00+00:00,FR04014,no2,24.5,µg/m³
+Paris,FR,2019-06-05 03:00:00+00:00,FR04014,no2,16.2,µg/m³
+Paris,FR,2019-06-05 02:00:00+00:00,FR04014,no2,12.4,µg/m³
+Paris,FR,2019-06-05 01:00:00+00:00,FR04014,no2,10.8,µg/m³
+Paris,FR,2019-06-05 00:00:00+00:00,FR04014,no2,15.7,µg/m³
+Paris,FR,2019-06-04 23:00:00+00:00,FR04014,no2,17.8,µg/m³
+Paris,FR,2019-06-04 22:00:00+00:00,FR04014,no2,33.5,µg/m³
+Paris,FR,2019-06-04 21:00:00+00:00,FR04014,no2,26.3,µg/m³
+Paris,FR,2019-06-04 20:00:00+00:00,FR04014,no2,16.9,µg/m³
+Paris,FR,2019-06-04 19:00:00+00:00,FR04014,no2,17.0,µg/m³
+Paris,FR,2019-06-04 18:00:00+00:00,FR04014,no2,25.2,µg/m³
+Paris,FR,2019-06-04 17:00:00+00:00,FR04014,no2,23.4,µg/m³
+Paris,FR,2019-06-04 16:00:00+00:00,FR04014,no2,26.3,µg/m³
+Paris,FR,2019-06-04 15:00:00+00:00,FR04014,no2,21.5,µg/m³
+Paris,FR,2019-06-04 14:00:00+00:00,FR04014,no2,18.1,µg/m³
+Paris,FR,2019-06-04 13:00:00+00:00,FR04014,no2,17.4,µg/m³
+Paris,FR,2019-06-04 12:00:00+00:00,FR04014,no2,17.7,µg/m³
+Paris,FR,2019-06-04 11:00:00+00:00,FR04014,no2,19.6,µg/m³
+Paris,FR,2019-06-04 10:00:00+00:00,FR04014,no2,23.3,µg/m³
+Paris,FR,2019-06-04 09:00:00+00:00,FR04014,no2,38.5,µg/m³
+Paris,FR,2019-06-04 08:00:00+00:00,FR04014,no2,50.8,µg/m³
+Paris,FR,2019-06-04 07:00:00+00:00,FR04014,no2,53.5,µg/m³
+Paris,FR,2019-06-04 06:00:00+00:00,FR04014,no2,47.7,µg/m³
+Paris,FR,2019-06-04 05:00:00+00:00,FR04014,no2,36.5,µg/m³
+Paris,FR,2019-06-04 04:00:00+00:00,FR04014,no2,28.8,µg/m³
+Paris,FR,2019-06-04 03:00:00+00:00,FR04014,no2,41.6,µg/m³
+Paris,FR,2019-06-04 02:00:00+00:00,FR04014,no2,35.0,µg/m³
+Paris,FR,2019-06-04 01:00:00+00:00,FR04014,no2,43.9,µg/m³
+Paris,FR,2019-06-04 00:00:00+00:00,FR04014,no2,52.4,µg/m³
+Paris,FR,2019-06-03 23:00:00+00:00,FR04014,no2,44.6,µg/m³
+Paris,FR,2019-06-03 22:00:00+00:00,FR04014,no2,30.5,µg/m³
+Paris,FR,2019-06-03 21:00:00+00:00,FR04014,no2,31.1,µg/m³
+Paris,FR,2019-06-03 20:00:00+00:00,FR04014,no2,33.0,µg/m³
+Paris,FR,2019-06-03 19:00:00+00:00,FR04014,no2,28.9,µg/m³
+Paris,FR,2019-06-03 18:00:00+00:00,FR04014,no2,23.1,µg/m³
+Paris,FR,2019-06-03 17:00:00+00:00,FR04014,no2,24.4,µg/m³
+Paris,FR,2019-06-03 16:00:00+00:00,FR04014,no2,25.3,µg/m³
+Paris,FR,2019-06-03 15:00:00+00:00,FR04014,no2,24.8,µg/m³
+Paris,FR,2019-06-03 14:00:00+00:00,FR04014,no2,23.2,µg/m³
+Paris,FR,2019-06-03 13:00:00+00:00,FR04014,no2,25.8,µg/m³
+Paris,FR,2019-06-03 12:00:00+00:00,FR04014,no2,22.1,µg/m³
+Paris,FR,2019-06-03 11:00:00+00:00,FR04014,no2,27.5,µg/m³
+Paris,FR,2019-06-03 10:00:00+00:00,FR04014,no2,31.7,µg/m³
+Paris,FR,2019-06-03 09:00:00+00:00,FR04014,no2,46.0,µg/m³
+Paris,FR,2019-06-03 08:00:00+00:00,FR04014,no2,43.9,µg/m³
+Paris,FR,2019-06-03 07:00:00+00:00,FR04014,no2,50.0,µg/m³
+Paris,FR,2019-06-03 06:00:00+00:00,FR04014,no2,44.1,µg/m³
+Paris,FR,2019-06-03 05:00:00+00:00,FR04014,no2,29.0,µg/m³
+Paris,FR,2019-06-03 04:00:00+00:00,FR04014,no2,11.4,µg/m³
+Paris,FR,2019-06-03 03:00:00+00:00,FR04014,no2,9.8,µg/m³
+Paris,FR,2019-06-03 02:00:00+00:00,FR04014,no2,11.7,µg/m³
+Paris,FR,2019-06-03 01:00:00+00:00,FR04014,no2,11.8,µg/m³
+Paris,FR,2019-06-03 00:00:00+00:00,FR04014,no2,15.7,µg/m³
+Paris,FR,2019-06-02 23:00:00+00:00,FR04014,no2,17.9,µg/m³
+Paris,FR,2019-06-02 22:00:00+00:00,FR04014,no2,27.6,µg/m³
+Paris,FR,2019-06-02 21:00:00+00:00,FR04014,no2,36.9,µg/m³
+Paris,FR,2019-06-02 20:00:00+00:00,FR04014,no2,40.9,µg/m³
+Paris,FR,2019-06-02 19:00:00+00:00,FR04014,no2,25.8,µg/m³
+Paris,FR,2019-06-02 18:00:00+00:00,FR04014,no2,15.6,µg/m³
+Paris,FR,2019-06-02 17:00:00+00:00,FR04014,no2,14.4,µg/m³
+Paris,FR,2019-06-02 16:00:00+00:00,FR04014,no2,14.4,µg/m³
+Paris,FR,2019-06-02 15:00:00+00:00,FR04014,no2,13.9,µg/m³
+Paris,FR,2019-06-02 14:00:00+00:00,FR04014,no2,15.0,µg/m³
+Paris,FR,2019-06-02 13:00:00+00:00,FR04014,no2,13.0,µg/m³
+Paris,FR,2019-06-02 12:00:00+00:00,FR04014,no2,11.5,µg/m³
+Paris,FR,2019-06-02 11:00:00+00:00,FR04014,no2,13.1,µg/m³
+Paris,FR,2019-06-02 10:00:00+00:00,FR04014,no2,18.1,µg/m³
+Paris,FR,2019-06-02 09:00:00+00:00,FR04014,no2,21.0,µg/m³
+Paris,FR,2019-06-02 08:00:00+00:00,FR04014,no2,19.5,µg/m³
+Paris,FR,2019-06-02 07:00:00+00:00,FR04014,no2,18.1,µg/m³
+Paris,FR,2019-06-02 06:00:00+00:00,FR04014,no2,24.1,µg/m³
+Paris,FR,2019-06-02 05:00:00+00:00,FR04014,no2,37.2,µg/m³
+Paris,FR,2019-06-02 04:00:00+00:00,FR04014,no2,24.5,µg/m³
+Paris,FR,2019-06-02 03:00:00+00:00,FR04014,no2,23.2,µg/m³
+Paris,FR,2019-06-02 02:00:00+00:00,FR04014,no2,39.2,µg/m³
+Paris,FR,2019-06-02 01:00:00+00:00,FR04014,no2,38.2,µg/m³
+Paris,FR,2019-06-02 00:00:00+00:00,FR04014,no2,38.1,µg/m³
+Paris,FR,2019-06-01 23:00:00+00:00,FR04014,no2,32.7,µg/m³
+Paris,FR,2019-06-01 22:00:00+00:00,FR04014,no2,48.1,µg/m³
+Paris,FR,2019-06-01 21:00:00+00:00,FR04014,no2,49.4,µg/m³
+Paris,FR,2019-06-01 20:00:00+00:00,FR04014,no2,43.6,µg/m³
+Paris,FR,2019-06-01 19:00:00+00:00,FR04014,no2,24.6,µg/m³
+Paris,FR,2019-06-01 18:00:00+00:00,FR04014,no2,14.5,µg/m³
+Paris,FR,2019-06-01 17:00:00+00:00,FR04014,no2,11.8,µg/m³
+Paris,FR,2019-06-01 16:00:00+00:00,FR04014,no2,11.8,µg/m³
+Paris,FR,2019-06-01 15:00:00+00:00,FR04014,no2,10.2,µg/m³
+Paris,FR,2019-06-01 14:00:00+00:00,FR04014,no2,10.0,µg/m³
+Paris,FR,2019-06-01 13:00:00+00:00,FR04014,no2,10.2,µg/m³
+Paris,FR,2019-06-01 12:00:00+00:00,FR04014,no2,10.4,µg/m³
+Paris,FR,2019-06-01 11:00:00+00:00,FR04014,no2,12.2,µg/m³
+Paris,FR,2019-06-01 10:00:00+00:00,FR04014,no2,13.8,µg/m³
+Paris,FR,2019-06-01 09:00:00+00:00,FR04014,no2,23.9,µg/m³
+Paris,FR,2019-06-01 08:00:00+00:00,FR04014,no2,33.3,µg/m³
+Paris,FR,2019-06-01 07:00:00+00:00,FR04014,no2,46.4,µg/m³
+Paris,FR,2019-06-01 06:00:00+00:00,FR04014,no2,44.6,µg/m³
+Paris,FR,2019-06-01 02:00:00+00:00,FR04014,no2,68.1,µg/m³
+Paris,FR,2019-06-01 01:00:00+00:00,FR04014,no2,74.8,µg/m³
+Paris,FR,2019-06-01 00:00:00+00:00,FR04014,no2,84.7,µg/m³
+Paris,FR,2019-05-31 23:00:00+00:00,FR04014,no2,81.7,µg/m³
+Paris,FR,2019-05-31 22:00:00+00:00,FR04014,no2,68.0,µg/m³
+Paris,FR,2019-05-31 21:00:00+00:00,FR04014,no2,60.2,µg/m³
+Paris,FR,2019-05-31 20:00:00+00:00,FR04014,no2,37.0,µg/m³
+Paris,FR,2019-05-31 19:00:00+00:00,FR04014,no2,23.3,µg/m³
+Paris,FR,2019-05-31 18:00:00+00:00,FR04014,no2,25.2,µg/m³
+Paris,FR,2019-05-31 17:00:00+00:00,FR04014,no2,20.5,µg/m³
+Paris,FR,2019-05-31 16:00:00+00:00,FR04014,no2,16.3,µg/m³
+Paris,FR,2019-05-31 15:00:00+00:00,FR04014,no2,15.4,µg/m³
+Paris,FR,2019-05-31 14:00:00+00:00,FR04014,no2,15.4,µg/m³
+Paris,FR,2019-05-31 13:00:00+00:00,FR04014,no2,13.8,µg/m³
+Paris,FR,2019-05-31 12:00:00+00:00,FR04014,no2,13.3,µg/m³
+Paris,FR,2019-05-31 11:00:00+00:00,FR04014,no2,15.1,µg/m³
+Paris,FR,2019-05-31 10:00:00+00:00,FR04014,no2,17.2,µg/m³
+Paris,FR,2019-05-31 09:00:00+00:00,FR04014,no2,19.6,µg/m³
+Paris,FR,2019-05-31 08:00:00+00:00,FR04014,no2,36.6,µg/m³
+Paris,FR,2019-05-31 07:00:00+00:00,FR04014,no2,47.4,µg/m³
+Paris,FR,2019-05-31 06:00:00+00:00,FR04014,no2,38.6,µg/m³
+Paris,FR,2019-05-31 05:00:00+00:00,FR04014,no2,37.2,µg/m³
+Paris,FR,2019-05-31 04:00:00+00:00,FR04014,no2,31.1,µg/m³
+Paris,FR,2019-05-31 03:00:00+00:00,FR04014,no2,40.1,µg/m³
+Paris,FR,2019-05-31 02:00:00+00:00,FR04014,no2,44.1,µg/m³
+Paris,FR,2019-05-31 01:00:00+00:00,FR04014,no2,36.9,µg/m³
+Paris,FR,2019-05-31 00:00:00+00:00,FR04014,no2,27.2,µg/m³
+Paris,FR,2019-05-30 23:00:00+00:00,FR04014,no2,29.6,µg/m³
+Paris,FR,2019-05-30 22:00:00+00:00,FR04014,no2,27.0,µg/m³
+Paris,FR,2019-05-30 21:00:00+00:00,FR04014,no2,26.9,µg/m³
+Paris,FR,2019-05-30 20:00:00+00:00,FR04014,no2,21.9,µg/m³
+Paris,FR,2019-05-30 19:00:00+00:00,FR04014,no2,22.9,µg/m³
+Paris,FR,2019-05-30 18:00:00+00:00,FR04014,no2,22.1,µg/m³
+Paris,FR,2019-05-30 17:00:00+00:00,FR04014,no2,20.4,µg/m³
+Paris,FR,2019-05-30 16:00:00+00:00,FR04014,no2,12.8,µg/m³
+Paris,FR,2019-05-30 15:00:00+00:00,FR04014,no2,13.0,µg/m³
+Paris,FR,2019-05-30 14:00:00+00:00,FR04014,no2,14.9,µg/m³
+Paris,FR,2019-05-30 13:00:00+00:00,FR04014,no2,16.1,µg/m³
+Paris,FR,2019-05-30 12:00:00+00:00,FR04014,no2,14.2,µg/m³
+Paris,FR,2019-05-30 11:00:00+00:00,FR04014,no2,14.9,µg/m³
+Paris,FR,2019-05-30 10:00:00+00:00,FR04014,no2,13.8,µg/m³
+Paris,FR,2019-05-30 09:00:00+00:00,FR04014,no2,15.1,µg/m³
+Paris,FR,2019-05-30 08:00:00+00:00,FR04014,no2,16.7,µg/m³
+Paris,FR,2019-05-30 07:00:00+00:00,FR04014,no2,18.3,µg/m³
+Paris,FR,2019-05-30 06:00:00+00:00,FR04014,no2,13.3,µg/m³
+Paris,FR,2019-05-30 05:00:00+00:00,FR04014,no2,12.2,µg/m³
+Paris,FR,2019-05-30 04:00:00+00:00,FR04014,no2,10.4,µg/m³
+Paris,FR,2019-05-30 03:00:00+00:00,FR04014,no2,10.6,µg/m³
+Paris,FR,2019-05-30 02:00:00+00:00,FR04014,no2,9.4,µg/m³
+Paris,FR,2019-05-30 01:00:00+00:00,FR04014,no2,12.4,µg/m³
+Paris,FR,2019-05-30 00:00:00+00:00,FR04014,no2,19.4,µg/m³
+Paris,FR,2019-05-29 23:00:00+00:00,FR04014,no2,19.9,µg/m³
+Paris,FR,2019-05-29 22:00:00+00:00,FR04014,no2,19.0,µg/m³
+Paris,FR,2019-05-29 21:00:00+00:00,FR04014,no2,16.9,µg/m³
+Paris,FR,2019-05-29 20:00:00+00:00,FR04014,no2,20.8,µg/m³
+Paris,FR,2019-05-29 19:00:00+00:00,FR04014,no2,24.1,µg/m³
+Paris,FR,2019-05-29 18:00:00+00:00,FR04014,no2,25.3,µg/m³
+Paris,FR,2019-05-29 17:00:00+00:00,FR04014,no2,22.9,µg/m³
+Paris,FR,2019-05-29 16:00:00+00:00,FR04014,no2,20.1,µg/m³
+Paris,FR,2019-05-29 15:00:00+00:00,FR04014,no2,0.0,µg/m³
+Paris,FR,2019-05-29 14:00:00+00:00,FR04014,no2,0.0,µg/m³
+Paris,FR,2019-05-29 13:00:00+00:00,FR04014,no2,17.8,µg/m³
+Paris,FR,2019-05-29 12:00:00+00:00,FR04014,no2,13.2,µg/m³
+Paris,FR,2019-05-29 11:00:00+00:00,FR04014,no2,22.0,µg/m³
+Paris,FR,2019-05-29 10:00:00+00:00,FR04014,no2,30.7,µg/m³
+Paris,FR,2019-05-29 09:00:00+00:00,FR04014,no2,34.5,µg/m³
+Paris,FR,2019-05-29 08:00:00+00:00,FR04014,no2,45.7,µg/m³
+Paris,FR,2019-05-29 07:00:00+00:00,FR04014,no2,50.5,µg/m³
+Paris,FR,2019-05-29 06:00:00+00:00,FR04014,no2,46.5,µg/m³
+Paris,FR,2019-05-29 05:00:00+00:00,FR04014,no2,36.7,µg/m³
+Paris,FR,2019-05-29 04:00:00+00:00,FR04014,no2,24.1,µg/m³
+Paris,FR,2019-05-29 03:00:00+00:00,FR04014,no2,20.3,µg/m³
+Paris,FR,2019-05-29 02:00:00+00:00,FR04014,no2,19.0,µg/m³
+Paris,FR,2019-05-29 01:00:00+00:00,FR04014,no2,21.6,µg/m³
+Paris,FR,2019-05-29 00:00:00+00:00,FR04014,no2,23.4,µg/m³
+Paris,FR,2019-05-28 23:00:00+00:00,FR04014,no2,25.3,µg/m³
+Paris,FR,2019-05-28 22:00:00+00:00,FR04014,no2,20.2,µg/m³
+Paris,FR,2019-05-28 21:00:00+00:00,FR04014,no2,20.4,µg/m³
+Paris,FR,2019-05-28 20:00:00+00:00,FR04014,no2,20.4,µg/m³
+Paris,FR,2019-05-28 19:00:00+00:00,FR04014,no2,18.5,µg/m³
+Paris,FR,2019-05-28 18:00:00+00:00,FR04014,no2,16.2,µg/m³
+Paris,FR,2019-05-28 17:00:00+00:00,FR04014,no2,20.8,µg/m³
+Paris,FR,2019-05-28 16:00:00+00:00,FR04014,no2,26.5,µg/m³
+Paris,FR,2019-05-28 15:00:00+00:00,FR04014,no2,25.0,µg/m³
+Paris,FR,2019-05-28 14:00:00+00:00,FR04014,no2,18.8,µg/m³
+Paris,FR,2019-05-28 13:00:00+00:00,FR04014,no2,18.5,µg/m³
+Paris,FR,2019-05-28 12:00:00+00:00,FR04014,no2,24.8,µg/m³
+Paris,FR,2019-05-28 11:00:00+00:00,FR04014,no2,20.5,µg/m³
+Paris,FR,2019-05-28 10:00:00+00:00,FR04014,no2,21.6,µg/m³
+Paris,FR,2019-05-28 09:00:00+00:00,FR04014,no2,24.3,µg/m³
+Paris,FR,2019-05-28 08:00:00+00:00,FR04014,no2,31.2,µg/m³
+Paris,FR,2019-05-28 07:00:00+00:00,FR04014,no2,33.8,µg/m³
+Paris,FR,2019-05-28 06:00:00+00:00,FR04014,no2,28.8,µg/m³
+Paris,FR,2019-05-28 05:00:00+00:00,FR04014,no2,19.9,µg/m³
+Paris,FR,2019-05-28 04:00:00+00:00,FR04014,no2,8.9,µg/m³
+Paris,FR,2019-05-28 03:00:00+00:00,FR04014,no2,6.1,µg/m³
+Paris,FR,2019-05-28 02:00:00+00:00,FR04014,no2,6.4,µg/m³
+Paris,FR,2019-05-28 01:00:00+00:00,FR04014,no2,8.2,µg/m³
+Paris,FR,2019-05-28 00:00:00+00:00,FR04014,no2,15.4,µg/m³
+Paris,FR,2019-05-27 23:00:00+00:00,FR04014,no2,22.6,µg/m³
+Paris,FR,2019-05-27 22:00:00+00:00,FR04014,no2,19.9,µg/m³
+Paris,FR,2019-05-27 21:00:00+00:00,FR04014,no2,18.8,µg/m³
+Paris,FR,2019-05-27 20:00:00+00:00,FR04014,no2,22.3,µg/m³
+Paris,FR,2019-05-27 19:00:00+00:00,FR04014,no2,22.1,µg/m³
+Paris,FR,2019-05-27 18:00:00+00:00,FR04014,no2,25.6,µg/m³
+Paris,FR,2019-05-27 17:00:00+00:00,FR04014,no2,22.9,µg/m³
+Paris,FR,2019-05-27 16:00:00+00:00,FR04014,no2,23.6,µg/m³
+Paris,FR,2019-05-27 15:00:00+00:00,FR04014,no2,25.6,µg/m³
+Paris,FR,2019-05-27 14:00:00+00:00,FR04014,no2,17.3,µg/m³
+Paris,FR,2019-05-27 13:00:00+00:00,FR04014,no2,17.5,µg/m³
+Paris,FR,2019-05-27 12:00:00+00:00,FR04014,no2,17.3,µg/m³
+Paris,FR,2019-05-27 11:00:00+00:00,FR04014,no2,19.3,µg/m³
+Paris,FR,2019-05-27 10:00:00+00:00,FR04014,no2,23.3,µg/m³
+Paris,FR,2019-05-27 09:00:00+00:00,FR04014,no2,31.4,µg/m³
+Paris,FR,2019-05-27 08:00:00+00:00,FR04014,no2,34.2,µg/m³
+Paris,FR,2019-05-27 07:00:00+00:00,FR04014,no2,29.5,µg/m³
+Paris,FR,2019-05-27 06:00:00+00:00,FR04014,no2,29.1,µg/m³
+Paris,FR,2019-05-27 05:00:00+00:00,FR04014,no2,20.3,µg/m³
+Paris,FR,2019-05-27 04:00:00+00:00,FR04014,no2,6.5,µg/m³
+Paris,FR,2019-05-27 03:00:00+00:00,FR04014,no2,4.8,µg/m³
+Paris,FR,2019-05-27 02:00:00+00:00,FR04014,no2,5.9,µg/m³
+Paris,FR,2019-05-27 01:00:00+00:00,FR04014,no2,7.1,µg/m³
+Paris,FR,2019-05-27 00:00:00+00:00,FR04014,no2,9.5,µg/m³
+Paris,FR,2019-05-26 23:00:00+00:00,FR04014,no2,10.3,µg/m³
+Paris,FR,2019-05-26 22:00:00+00:00,FR04014,no2,15.2,µg/m³
+Paris,FR,2019-05-26 21:00:00+00:00,FR04014,no2,16.1,µg/m³
+Paris,FR,2019-05-26 20:00:00+00:00,FR04014,no2,16.6,µg/m³
+Paris,FR,2019-05-26 19:00:00+00:00,FR04014,no2,17.8,µg/m³
+Paris,FR,2019-05-26 18:00:00+00:00,FR04014,no2,22.8,µg/m³
+Paris,FR,2019-05-26 17:00:00+00:00,FR04014,no2,17.3,µg/m³
+Paris,FR,2019-05-26 16:00:00+00:00,FR04014,no2,17.1,µg/m³
+Paris,FR,2019-05-26 15:00:00+00:00,FR04014,no2,11.7,µg/m³
+Paris,FR,2019-05-26 14:00:00+00:00,FR04014,no2,15.3,µg/m³
+Paris,FR,2019-05-26 13:00:00+00:00,FR04014,no2,12.5,µg/m³
+Paris,FR,2019-05-26 12:00:00+00:00,FR04014,no2,11.5,µg/m³
+Paris,FR,2019-05-26 11:00:00+00:00,FR04014,no2,13.3,µg/m³
+Paris,FR,2019-05-26 10:00:00+00:00,FR04014,no2,11.3,µg/m³
+Paris,FR,2019-05-26 09:00:00+00:00,FR04014,no2,10.3,µg/m³
+Paris,FR,2019-05-26 08:00:00+00:00,FR04014,no2,11.0,µg/m³
+Paris,FR,2019-05-26 07:00:00+00:00,FR04014,no2,13.4,µg/m³
+Paris,FR,2019-05-26 06:00:00+00:00,FR04014,no2,15.1,µg/m³
+Paris,FR,2019-05-26 05:00:00+00:00,FR04014,no2,16.8,µg/m³
+Paris,FR,2019-05-26 04:00:00+00:00,FR04014,no2,22.3,µg/m³
+Paris,FR,2019-05-26 03:00:00+00:00,FR04014,no2,22.9,µg/m³
+Paris,FR,2019-05-26 02:00:00+00:00,FR04014,no2,23.4,µg/m³
+Paris,FR,2019-05-26 01:00:00+00:00,FR04014,no2,49.8,µg/m³
+Paris,FR,2019-05-26 00:00:00+00:00,FR04014,no2,67.0,µg/m³
+Paris,FR,2019-05-25 23:00:00+00:00,FR04014,no2,70.2,µg/m³
+Paris,FR,2019-05-25 22:00:00+00:00,FR04014,no2,63.9,µg/m³
+Paris,FR,2019-05-25 21:00:00+00:00,FR04014,no2,39.5,µg/m³
+Paris,FR,2019-05-25 20:00:00+00:00,FR04014,no2,43.6,µg/m³
+Paris,FR,2019-05-25 19:00:00+00:00,FR04014,no2,22.1,µg/m³
+Paris,FR,2019-05-25 18:00:00+00:00,FR04014,no2,30.4,µg/m³
+Paris,FR,2019-05-25 17:00:00+00:00,FR04014,no2,20.6,µg/m³
+Paris,FR,2019-05-25 16:00:00+00:00,FR04014,no2,31.9,µg/m³
+Paris,FR,2019-05-25 15:00:00+00:00,FR04014,no2,30.0,µg/m³
+Paris,FR,2019-05-25 14:00:00+00:00,FR04014,no2,23.6,µg/m³
+Paris,FR,2019-05-25 13:00:00+00:00,FR04014,no2,26.1,µg/m³
+Paris,FR,2019-05-25 12:00:00+00:00,FR04014,no2,18.6,µg/m³
+Paris,FR,2019-05-25 11:00:00+00:00,FR04014,no2,19.5,µg/m³
+Paris,FR,2019-05-25 10:00:00+00:00,FR04014,no2,26.3,µg/m³
+Paris,FR,2019-05-25 09:00:00+00:00,FR04014,no2,33.6,µg/m³
+Paris,FR,2019-05-25 08:00:00+00:00,FR04014,no2,44.5,µg/m³
+Paris,FR,2019-05-25 07:00:00+00:00,FR04014,no2,42.1,µg/m³
+Paris,FR,2019-05-25 06:00:00+00:00,FR04014,no2,36.9,µg/m³
+Paris,FR,2019-05-25 02:00:00+00:00,FR04014,no2,20.3,µg/m³
+Paris,FR,2019-05-25 01:00:00+00:00,FR04014,no2,12.8,µg/m³
+Paris,FR,2019-05-25 00:00:00+00:00,FR04014,no2,17.4,µg/m³
+Paris,FR,2019-05-24 23:00:00+00:00,FR04014,no2,16.5,µg/m³
+Paris,FR,2019-05-24 22:00:00+00:00,FR04014,no2,18.0,µg/m³
+Paris,FR,2019-05-24 21:00:00+00:00,FR04014,no2,18.1,µg/m³
+Paris,FR,2019-05-24 20:00:00+00:00,FR04014,no2,31.7,µg/m³
+Paris,FR,2019-05-24 19:00:00+00:00,FR04014,no2,21.9,µg/m³
+Paris,FR,2019-05-24 18:00:00+00:00,FR04014,no2,23.3,µg/m³
+Paris,FR,2019-05-24 17:00:00+00:00,FR04014,no2,25.2,µg/m³
+Paris,FR,2019-05-24 16:00:00+00:00,FR04014,no2,27.3,µg/m³
+Paris,FR,2019-05-24 15:00:00+00:00,FR04014,no2,22.7,µg/m³
+Paris,FR,2019-05-24 14:00:00+00:00,FR04014,no2,20.5,µg/m³
+Paris,FR,2019-05-24 13:00:00+00:00,FR04014,no2,24.3,µg/m³
+Paris,FR,2019-05-24 12:00:00+00:00,FR04014,no2,29.3,µg/m³
+Paris,FR,2019-05-24 11:00:00+00:00,FR04014,no2,40.6,µg/m³
+Paris,FR,2019-05-24 10:00:00+00:00,FR04014,no2,28.6,µg/m³
+Paris,FR,2019-05-24 09:00:00+00:00,FR04014,no2,37.9,µg/m³
+Paris,FR,2019-05-24 08:00:00+00:00,FR04014,no2,45.9,µg/m³
+Paris,FR,2019-05-24 07:00:00+00:00,FR04014,no2,54.8,µg/m³
+Paris,FR,2019-05-24 06:00:00+00:00,FR04014,no2,40.7,µg/m³
+Paris,FR,2019-05-24 05:00:00+00:00,FR04014,no2,35.9,µg/m³
+Paris,FR,2019-05-24 04:00:00+00:00,FR04014,no2,28.1,µg/m³
+Paris,FR,2019-05-24 03:00:00+00:00,FR04014,no2,19.4,µg/m³
+Paris,FR,2019-05-24 02:00:00+00:00,FR04014,no2,28.4,µg/m³
+Paris,FR,2019-05-24 01:00:00+00:00,FR04014,no2,28.8,µg/m³
+Paris,FR,2019-05-24 00:00:00+00:00,FR04014,no2,32.8,µg/m³
+Paris,FR,2019-05-23 23:00:00+00:00,FR04014,no2,23.2,µg/m³
+Paris,FR,2019-05-23 22:00:00+00:00,FR04014,no2,61.9,µg/m³
+Paris,FR,2019-05-23 21:00:00+00:00,FR04014,no2,47.0,µg/m³
+Paris,FR,2019-05-23 20:00:00+00:00,FR04014,no2,33.8,µg/m³
+Paris,FR,2019-05-23 19:00:00+00:00,FR04014,no2,28.0,µg/m³
+Paris,FR,2019-05-23 18:00:00+00:00,FR04014,no2,23.5,µg/m³
+Paris,FR,2019-05-23 17:00:00+00:00,FR04014,no2,22.7,µg/m³
+Paris,FR,2019-05-23 16:00:00+00:00,FR04014,no2,17.8,µg/m³
+Paris,FR,2019-05-23 15:00:00+00:00,FR04014,no2,17.5,µg/m³
+Paris,FR,2019-05-23 14:00:00+00:00,FR04014,no2,17.2,µg/m³
+Paris,FR,2019-05-23 13:00:00+00:00,FR04014,no2,21.2,µg/m³
+Paris,FR,2019-05-23 12:00:00+00:00,FR04014,no2,16.4,µg/m³
+Paris,FR,2019-05-23 11:00:00+00:00,FR04014,no2,17.0,µg/m³
+Paris,FR,2019-05-23 10:00:00+00:00,FR04014,no2,28.3,µg/m³
+Paris,FR,2019-05-23 09:00:00+00:00,FR04014,no2,79.4,µg/m³
+Paris,FR,2019-05-23 08:00:00+00:00,FR04014,no2,97.0,µg/m³
+Paris,FR,2019-05-23 07:00:00+00:00,FR04014,no2,91.8,µg/m³
+Paris,FR,2019-05-23 06:00:00+00:00,FR04014,no2,79.6,µg/m³
+Paris,FR,2019-05-23 05:00:00+00:00,FR04014,no2,68.7,µg/m³
+Paris,FR,2019-05-23 04:00:00+00:00,FR04014,no2,71.9,µg/m³
+Paris,FR,2019-05-23 03:00:00+00:00,FR04014,no2,76.8,µg/m³
+Paris,FR,2019-05-23 02:00:00+00:00,FR04014,no2,66.6,µg/m³
+Paris,FR,2019-05-23 01:00:00+00:00,FR04014,no2,53.1,µg/m³
+Paris,FR,2019-05-23 00:00:00+00:00,FR04014,no2,53.3,µg/m³
+Paris,FR,2019-05-22 23:00:00+00:00,FR04014,no2,62.1,µg/m³
+Paris,FR,2019-05-22 22:00:00+00:00,FR04014,no2,29.8,µg/m³
+Paris,FR,2019-05-22 21:00:00+00:00,FR04014,no2,37.7,µg/m³
+Paris,FR,2019-05-22 20:00:00+00:00,FR04014,no2,44.9,µg/m³
+Paris,FR,2019-05-22 19:00:00+00:00,FR04014,no2,36.2,µg/m³
+Paris,FR,2019-05-22 18:00:00+00:00,FR04014,no2,34.1,µg/m³
+Paris,FR,2019-05-22 17:00:00+00:00,FR04014,no2,36.1,µg/m³
+Paris,FR,2019-05-22 16:00:00+00:00,FR04014,no2,34.9,µg/m³
+Paris,FR,2019-05-22 15:00:00+00:00,FR04014,no2,33.2,µg/m³
+Paris,FR,2019-05-22 14:00:00+00:00,FR04014,no2,40.0,µg/m³
+Paris,FR,2019-05-22 13:00:00+00:00,FR04014,no2,38.5,µg/m³
+Paris,FR,2019-05-22 12:00:00+00:00,FR04014,no2,42.2,µg/m³
+Paris,FR,2019-05-22 11:00:00+00:00,FR04014,no2,42.6,µg/m³
+Paris,FR,2019-05-22 10:00:00+00:00,FR04014,no2,57.8,µg/m³
+Paris,FR,2019-05-22 09:00:00+00:00,FR04014,no2,63.1,µg/m³
+Paris,FR,2019-05-22 08:00:00+00:00,FR04014,no2,70.8,µg/m³
+Paris,FR,2019-05-22 07:00:00+00:00,FR04014,no2,75.4,µg/m³
+Paris,FR,2019-05-22 06:00:00+00:00,FR04014,no2,75.7,µg/m³
+Paris,FR,2019-05-22 05:00:00+00:00,FR04014,no2,45.1,µg/m³
+Paris,FR,2019-05-22 04:00:00+00:00,FR04014,no2,33.7,µg/m³
+Paris,FR,2019-05-22 03:00:00+00:00,FR04014,no2,25.2,µg/m³
+Paris,FR,2019-05-22 02:00:00+00:00,FR04014,no2,19.2,µg/m³
+Paris,FR,2019-05-22 01:00:00+00:00,FR04014,no2,27.9,µg/m³
+Paris,FR,2019-05-22 00:00:00+00:00,FR04014,no2,27.1,µg/m³
+Paris,FR,2019-05-21 23:00:00+00:00,FR04014,no2,29.5,µg/m³
+Paris,FR,2019-05-21 22:00:00+00:00,FR04014,no2,33.2,µg/m³
+Paris,FR,2019-05-21 21:00:00+00:00,FR04014,no2,43.0,µg/m³
+Paris,FR,2019-05-21 20:00:00+00:00,FR04014,no2,40.8,µg/m³
+Paris,FR,2019-05-21 19:00:00+00:00,FR04014,no2,50.0,µg/m³
+Paris,FR,2019-05-21 18:00:00+00:00,FR04014,no2,54.3,µg/m³
+Paris,FR,2019-05-21 17:00:00+00:00,FR04014,no2,75.0,µg/m³
+Paris,FR,2019-05-21 16:00:00+00:00,FR04014,no2,42.3,µg/m³
+Paris,FR,2019-05-21 15:00:00+00:00,FR04014,no2,36.6,µg/m³
+Paris,FR,2019-05-21 14:00:00+00:00,FR04014,no2,47.8,µg/m³
+Paris,FR,2019-05-21 13:00:00+00:00,FR04014,no2,49.7,µg/m³
+Paris,FR,2019-05-21 12:00:00+00:00,FR04014,no2,30.5,µg/m³
+Paris,FR,2019-05-21 11:00:00+00:00,FR04014,no2,25.5,µg/m³
+Paris,FR,2019-05-21 10:00:00+00:00,FR04014,no2,30.4,µg/m³
+Paris,FR,2019-05-21 09:00:00+00:00,FR04014,no2,48.1,µg/m³
+Paris,FR,2019-05-21 08:00:00+00:00,FR04014,no2,54.2,µg/m³
+Paris,FR,2019-05-21 07:00:00+00:00,FR04014,no2,56.0,µg/m³
+Paris,FR,2019-05-21 06:00:00+00:00,FR04014,no2,62.6,µg/m³
+Paris,FR,2019-05-21 05:00:00+00:00,FR04014,no2,38.0,µg/m³
+Paris,FR,2019-05-21 04:00:00+00:00,FR04014,no2,18.5,µg/m³
+Paris,FR,2019-05-21 03:00:00+00:00,FR04014,no2,17.9,µg/m³
+Paris,FR,2019-05-21 02:00:00+00:00,FR04014,no2,17.7,µg/m³
+Paris,FR,2019-05-21 01:00:00+00:00,FR04014,no2,16.3,µg/m³
+Paris,FR,2019-05-21 00:00:00+00:00,FR04014,no2,16.9,µg/m³
+Paris,FR,2019-05-20 23:00:00+00:00,FR04014,no2,19.6,µg/m³
+Paris,FR,2019-05-20 22:00:00+00:00,FR04014,no2,20.7,µg/m³
+Paris,FR,2019-05-20 21:00:00+00:00,FR04014,no2,20.3,µg/m³
+Paris,FR,2019-05-20 20:00:00+00:00,FR04014,no2,21.6,µg/m³
+Paris,FR,2019-05-20 19:00:00+00:00,FR04014,no2,21.3,µg/m³
+Paris,FR,2019-05-20 18:00:00+00:00,FR04014,no2,32.2,µg/m³
+Paris,FR,2019-05-20 17:00:00+00:00,FR04014,no2,24.6,µg/m³
+Paris,FR,2019-05-20 16:00:00+00:00,FR04014,no2,32.4,µg/m³
+Paris,FR,2019-05-20 15:00:00+00:00,FR04014,no2,26.5,µg/m³
+Paris,FR,2019-05-20 14:00:00+00:00,FR04014,no2,27.5,µg/m³
+Paris,FR,2019-05-20 13:00:00+00:00,FR04014,no2,23.7,µg/m³
+Paris,FR,2019-05-20 12:00:00+00:00,FR04014,no2,23.8,µg/m³
+Paris,FR,2019-05-20 11:00:00+00:00,FR04014,no2,35.4,µg/m³
+Paris,FR,2019-05-20 10:00:00+00:00,FR04014,no2,43.9,µg/m³
+Paris,FR,2019-05-20 09:00:00+00:00,FR04014,no2,45.5,µg/m³
+Paris,FR,2019-05-20 08:00:00+00:00,FR04014,no2,46.1,µg/m³
+Paris,FR,2019-05-20 07:00:00+00:00,FR04014,no2,46.9,µg/m³
+Paris,FR,2019-05-20 06:00:00+00:00,FR04014,no2,40.1,µg/m³
+Paris,FR,2019-05-20 05:00:00+00:00,FR04014,no2,25.2,µg/m³
+Paris,FR,2019-05-20 04:00:00+00:00,FR04014,no2,14.9,µg/m³
+Paris,FR,2019-05-20 03:00:00+00:00,FR04014,no2,12.6,µg/m³
+Paris,FR,2019-05-20 02:00:00+00:00,FR04014,no2,12.1,µg/m³
+Paris,FR,2019-05-20 01:00:00+00:00,FR04014,no2,12.8,µg/m³
+Paris,FR,2019-05-20 00:00:00+00:00,FR04014,no2,16.4,µg/m³
+Paris,FR,2019-05-19 23:00:00+00:00,FR04014,no2,18.8,µg/m³
+Paris,FR,2019-05-19 22:00:00+00:00,FR04014,no2,22.2,µg/m³
+Paris,FR,2019-05-19 21:00:00+00:00,FR04014,no2,23.2,µg/m³
+Paris,FR,2019-05-19 20:00:00+00:00,FR04014,no2,35.6,µg/m³
+Paris,FR,2019-05-19 19:00:00+00:00,FR04014,no2,51.2,µg/m³
+Paris,FR,2019-05-19 18:00:00+00:00,FR04014,no2,32.7,µg/m³
+Paris,FR,2019-05-19 17:00:00+00:00,FR04014,no2,33.9,µg/m³
+Paris,FR,2019-05-19 16:00:00+00:00,FR04014,no2,32.5,µg/m³
+Paris,FR,2019-05-19 15:00:00+00:00,FR04014,no2,31.7,µg/m³
+Paris,FR,2019-05-19 14:00:00+00:00,FR04014,no2,23.8,µg/m³
+Paris,FR,2019-05-19 13:00:00+00:00,FR04014,no2,21.0,µg/m³
+Paris,FR,2019-05-19 12:00:00+00:00,FR04014,no2,27.9,µg/m³
+Paris,FR,2019-05-19 11:00:00+00:00,FR04014,no2,32.6,µg/m³
+Paris,FR,2019-05-19 10:00:00+00:00,FR04014,no2,31.0,µg/m³
+Paris,FR,2019-05-19 09:00:00+00:00,FR04014,no2,33.0,µg/m³
+Paris,FR,2019-05-19 08:00:00+00:00,FR04014,no2,31.7,µg/m³
+Paris,FR,2019-05-19 07:00:00+00:00,FR04014,no2,32.4,µg/m³
+Paris,FR,2019-05-19 06:00:00+00:00,FR04014,no2,31.1,µg/m³
+Paris,FR,2019-05-19 05:00:00+00:00,FR04014,no2,40.9,µg/m³
+Paris,FR,2019-05-19 04:00:00+00:00,FR04014,no2,39.4,µg/m³
+Paris,FR,2019-05-19 03:00:00+00:00,FR04014,no2,36.4,µg/m³
+Paris,FR,2019-05-19 02:00:00+00:00,FR04014,no2,38.1,µg/m³
+Paris,FR,2019-05-19 01:00:00+00:00,FR04014,no2,34.9,µg/m³
+Paris,FR,2019-05-19 00:00:00+00:00,FR04014,no2,49.6,µg/m³
+Paris,FR,2019-05-18 23:00:00+00:00,FR04014,no2,50.2,µg/m³
+Paris,FR,2019-05-18 22:00:00+00:00,FR04014,no2,62.5,µg/m³
+Paris,FR,2019-05-18 21:00:00+00:00,FR04014,no2,59.3,µg/m³
+Paris,FR,2019-05-18 20:00:00+00:00,FR04014,no2,36.2,µg/m³
+Paris,FR,2019-05-18 19:00:00+00:00,FR04014,no2,67.5,µg/m³
+Paris,FR,2019-05-18 18:00:00+00:00,FR04014,no2,14.5,µg/m³
+Paris,FR,2019-05-18 17:00:00+00:00,FR04014,no2,12.8,µg/m³
+Paris,FR,2019-05-18 16:00:00+00:00,FR04014,no2,14.6,µg/m³
+Paris,FR,2019-05-18 15:00:00+00:00,FR04014,no2,13.0,µg/m³
+Paris,FR,2019-05-18 14:00:00+00:00,FR04014,no2,11.8,µg/m³
+Paris,FR,2019-05-18 13:00:00+00:00,FR04014,no2,10.5,µg/m³
+Paris,FR,2019-05-18 12:00:00+00:00,FR04014,no2,12.9,µg/m³
+Paris,FR,2019-05-18 11:00:00+00:00,FR04014,no2,17.5,µg/m³
+Paris,FR,2019-05-18 10:00:00+00:00,FR04014,no2,24.1,µg/m³
+Paris,FR,2019-05-18 09:00:00+00:00,FR04014,no2,21.1,µg/m³
+Paris,FR,2019-05-18 08:00:00+00:00,FR04014,no2,20.4,µg/m³
+Paris,FR,2019-05-18 07:00:00+00:00,FR04014,no2,27.4,µg/m³
+Paris,FR,2019-05-18 06:00:00+00:00,FR04014,no2,22.1,µg/m³
+Paris,FR,2019-05-18 05:00:00+00:00,FR04014,no2,20.1,µg/m³
+Paris,FR,2019-05-18 04:00:00+00:00,FR04014,no2,16.6,µg/m³
+Paris,FR,2019-05-18 03:00:00+00:00,FR04014,no2,16.1,µg/m³
+Paris,FR,2019-05-18 02:00:00+00:00,FR04014,no2,29.0,µg/m³
+Paris,FR,2019-05-18 01:00:00+00:00,FR04014,no2,37.4,µg/m³
+Paris,FR,2019-05-18 00:00:00+00:00,FR04014,no2,31.5,µg/m³
+Paris,FR,2019-05-17 23:00:00+00:00,FR04014,no2,34.1,µg/m³
+Paris,FR,2019-05-17 22:00:00+00:00,FR04014,no2,28.2,µg/m³
+Paris,FR,2019-05-17 21:00:00+00:00,FR04014,no2,24.3,µg/m³
+Paris,FR,2019-05-17 20:00:00+00:00,FR04014,no2,23.5,µg/m³
+Paris,FR,2019-05-17 19:00:00+00:00,FR04014,no2,24.7,µg/m³
+Paris,FR,2019-05-17 18:00:00+00:00,FR04014,no2,33.6,µg/m³
+Paris,FR,2019-05-17 17:00:00+00:00,FR04014,no2,27.9,µg/m³
+Paris,FR,2019-05-17 16:00:00+00:00,FR04014,no2,20.7,µg/m³
+Paris,FR,2019-05-17 15:00:00+00:00,FR04014,no2,22.2,µg/m³
+Paris,FR,2019-05-17 14:00:00+00:00,FR04014,no2,27.0,µg/m³
+Paris,FR,2019-05-17 13:00:00+00:00,FR04014,no2,37.9,µg/m³
+Paris,FR,2019-05-17 12:00:00+00:00,FR04014,no2,46.5,µg/m³
+Paris,FR,2019-05-17 11:00:00+00:00,FR04014,no2,43.1,µg/m³
+Paris,FR,2019-05-17 10:00:00+00:00,FR04014,no2,51.5,µg/m³
+Paris,FR,2019-05-17 09:00:00+00:00,FR04014,no2,60.5,µg/m³
+Paris,FR,2019-05-17 08:00:00+00:00,FR04014,no2,57.5,µg/m³
+Paris,FR,2019-05-17 07:00:00+00:00,FR04014,no2,55.0,µg/m³
+Paris,FR,2019-05-17 06:00:00+00:00,FR04014,no2,46.3,µg/m³
+Paris,FR,2019-05-17 05:00:00+00:00,FR04014,no2,34.0,µg/m³
+Paris,FR,2019-05-17 04:00:00+00:00,FR04014,no2,28.4,µg/m³
+Paris,FR,2019-05-17 03:00:00+00:00,FR04014,no2,26.6,µg/m³
+Paris,FR,2019-05-17 02:00:00+00:00,FR04014,no2,24.6,µg/m³
+Paris,FR,2019-05-17 01:00:00+00:00,FR04014,no2,26.1,µg/m³
+Paris,FR,2019-05-17 00:00:00+00:00,FR04014,no2,46.3,µg/m³
+Paris,FR,2019-05-16 23:00:00+00:00,FR04014,no2,43.7,µg/m³
+Paris,FR,2019-05-16 22:00:00+00:00,FR04014,no2,37.1,µg/m³
+Paris,FR,2019-05-16 21:00:00+00:00,FR04014,no2,24.3,µg/m³
+Paris,FR,2019-05-16 20:00:00+00:00,FR04014,no2,24.8,µg/m³
+Paris,FR,2019-05-16 19:00:00+00:00,FR04014,no2,14.4,µg/m³
+Paris,FR,2019-05-16 18:00:00+00:00,FR04014,no2,15.9,µg/m³
+Paris,FR,2019-05-16 17:00:00+00:00,FR04014,no2,13.5,µg/m³
+Paris,FR,2019-05-16 16:00:00+00:00,FR04014,no2,10.3,µg/m³
+Paris,FR,2019-05-16 15:00:00+00:00,FR04014,no2,10.1,µg/m³
+Paris,FR,2019-05-16 14:00:00+00:00,FR04014,no2,8.1,µg/m³
+Paris,FR,2019-05-16 13:00:00+00:00,FR04014,no2,8.5,µg/m³
+Paris,FR,2019-05-16 12:00:00+00:00,FR04014,no2,9.2,µg/m³
+Paris,FR,2019-05-16 11:00:00+00:00,FR04014,no2,10.5,µg/m³
+Paris,FR,2019-05-16 10:00:00+00:00,FR04014,no2,13.5,µg/m³
+Paris,FR,2019-05-16 09:00:00+00:00,FR04014,no2,29.5,µg/m³
+Paris,FR,2019-05-16 08:00:00+00:00,FR04014,no2,39.4,µg/m³
+Paris,FR,2019-05-16 07:00:00+00:00,FR04014,no2,40.0,µg/m³
+Paris,FR,2019-05-16 05:00:00+00:00,FR04014,no2,52.6,µg/m³
+Paris,FR,2019-05-16 04:00:00+00:00,FR04014,no2,37.0,µg/m³
+Paris,FR,2019-05-16 03:00:00+00:00,FR04014,no2,27.9,µg/m³
+Paris,FR,2019-05-16 02:00:00+00:00,FR04014,no2,26.7,µg/m³
+Paris,FR,2019-05-16 01:00:00+00:00,FR04014,no2,26.0,µg/m³
+Paris,FR,2019-05-16 00:00:00+00:00,FR04014,no2,27.4,µg/m³
+Paris,FR,2019-05-15 23:00:00+00:00,FR04014,no2,30.9,µg/m³
+Paris,FR,2019-05-15 22:00:00+00:00,FR04014,no2,44.1,µg/m³
+Paris,FR,2019-05-15 21:00:00+00:00,FR04014,no2,36.0,µg/m³
+Paris,FR,2019-05-15 20:00:00+00:00,FR04014,no2,30.1,µg/m³
+Paris,FR,2019-05-15 19:00:00+00:00,FR04014,no2,20.3,µg/m³
+Paris,FR,2019-05-15 18:00:00+00:00,FR04014,no2,16.5,µg/m³
+Paris,FR,2019-05-15 17:00:00+00:00,FR04014,no2,12.9,µg/m³
+Paris,FR,2019-05-15 16:00:00+00:00,FR04014,no2,12.2,µg/m³
+Paris,FR,2019-05-15 15:00:00+00:00,FR04014,no2,12.9,µg/m³
+Paris,FR,2019-05-15 14:00:00+00:00,FR04014,no2,11.9,µg/m³
+Paris,FR,2019-05-15 13:00:00+00:00,FR04014,no2,10.0,µg/m³
+Paris,FR,2019-05-15 12:00:00+00:00,FR04014,no2,9.4,µg/m³
+Paris,FR,2019-05-15 11:00:00+00:00,FR04014,no2,0.0,µg/m³
+Paris,FR,2019-05-15 10:00:00+00:00,FR04014,no2,0.0,µg/m³
+Paris,FR,2019-05-15 09:00:00+00:00,FR04014,no2,0.0,µg/m³
+Paris,FR,2019-05-15 08:00:00+00:00,FR04014,no2,25.7,µg/m³
+Paris,FR,2019-05-15 07:00:00+00:00,FR04014,no2,32.1,µg/m³
+Paris,FR,2019-05-15 06:00:00+00:00,FR04014,no2,48.1,µg/m³
+Paris,FR,2019-05-15 05:00:00+00:00,FR04014,no2,46.5,µg/m³
+Paris,FR,2019-05-15 04:00:00+00:00,FR04014,no2,28.9,µg/m³
+Paris,FR,2019-05-15 03:00:00+00:00,FR04014,no2,17.9,µg/m³
+Paris,FR,2019-05-15 02:00:00+00:00,FR04014,no2,16.8,µg/m³
+Paris,FR,2019-05-15 01:00:00+00:00,FR04014,no2,17.2,µg/m³
+Paris,FR,2019-05-15 00:00:00+00:00,FR04014,no2,18.8,µg/m³
+Paris,FR,2019-05-14 23:00:00+00:00,FR04014,no2,24.3,µg/m³
+Paris,FR,2019-05-14 22:00:00+00:00,FR04014,no2,30.9,µg/m³
+Paris,FR,2019-05-14 21:00:00+00:00,FR04014,no2,29.0,µg/m³
+Paris,FR,2019-05-14 20:00:00+00:00,FR04014,no2,28.4,µg/m³
+Paris,FR,2019-05-14 19:00:00+00:00,FR04014,no2,23.3,µg/m³
+Paris,FR,2019-05-14 18:00:00+00:00,FR04014,no2,17.9,µg/m³
+Paris,FR,2019-05-14 17:00:00+00:00,FR04014,no2,17.7,µg/m³
+Paris,FR,2019-05-14 16:00:00+00:00,FR04014,no2,15.3,µg/m³
+Paris,FR,2019-05-14 15:00:00+00:00,FR04014,no2,13.4,µg/m³
+Paris,FR,2019-05-14 14:00:00+00:00,FR04014,no2,15.2,µg/m³
+Paris,FR,2019-05-14 13:00:00+00:00,FR04014,no2,11.0,µg/m³
+Paris,FR,2019-05-14 12:00:00+00:00,FR04014,no2,10.2,µg/m³
+Paris,FR,2019-05-14 11:00:00+00:00,FR04014,no2,11.3,µg/m³
+Paris,FR,2019-05-14 10:00:00+00:00,FR04014,no2,12.9,µg/m³
+Paris,FR,2019-05-14 09:00:00+00:00,FR04014,no2,19.0,µg/m³
+Paris,FR,2019-05-14 08:00:00+00:00,FR04014,no2,28.8,µg/m³
+Paris,FR,2019-05-14 07:00:00+00:00,FR04014,no2,41.3,µg/m³
+Paris,FR,2019-05-14 06:00:00+00:00,FR04014,no2,46.1,µg/m³
+Paris,FR,2019-05-14 05:00:00+00:00,FR04014,no2,38.6,µg/m³
+Paris,FR,2019-05-14 04:00:00+00:00,FR04014,no2,31.6,µg/m³
+Paris,FR,2019-05-14 03:00:00+00:00,FR04014,no2,22.1,µg/m³
+Paris,FR,2019-05-14 02:00:00+00:00,FR04014,no2,19.0,µg/m³
+Paris,FR,2019-05-14 01:00:00+00:00,FR04014,no2,19.1,µg/m³
+Paris,FR,2019-05-14 00:00:00+00:00,FR04014,no2,20.9,µg/m³
+Paris,FR,2019-05-13 23:00:00+00:00,FR04014,no2,22.8,µg/m³
+Paris,FR,2019-05-13 22:00:00+00:00,FR04014,no2,27.3,µg/m³
+Paris,FR,2019-05-13 21:00:00+00:00,FR04014,no2,30.4,µg/m³
+Paris,FR,2019-05-13 20:00:00+00:00,FR04014,no2,28.3,µg/m³
+Paris,FR,2019-05-13 19:00:00+00:00,FR04014,no2,23.9,µg/m³
+Paris,FR,2019-05-13 18:00:00+00:00,FR04014,no2,15.5,µg/m³
+Paris,FR,2019-05-13 17:00:00+00:00,FR04014,no2,13.0,µg/m³
+Paris,FR,2019-05-13 16:00:00+00:00,FR04014,no2,12.1,µg/m³
+Paris,FR,2019-05-13 15:00:00+00:00,FR04014,no2,10.6,µg/m³
+Paris,FR,2019-05-13 14:00:00+00:00,FR04014,no2,10.7,µg/m³
+Paris,FR,2019-05-13 13:00:00+00:00,FR04014,no2,10.1,µg/m³
+Paris,FR,2019-05-13 12:00:00+00:00,FR04014,no2,9.2,µg/m³
+Paris,FR,2019-05-13 11:00:00+00:00,FR04014,no2,9.6,µg/m³
+Paris,FR,2019-05-13 10:00:00+00:00,FR04014,no2,12.8,µg/m³
+Paris,FR,2019-05-13 09:00:00+00:00,FR04014,no2,20.6,µg/m³
+Paris,FR,2019-05-13 08:00:00+00:00,FR04014,no2,32.1,µg/m³
+Paris,FR,2019-05-13 07:00:00+00:00,FR04014,no2,41.0,µg/m³
+Paris,FR,2019-05-13 06:00:00+00:00,FR04014,no2,45.2,µg/m³
+Paris,FR,2019-05-13 05:00:00+00:00,FR04014,no2,38.3,µg/m³
+Paris,FR,2019-05-13 04:00:00+00:00,FR04014,no2,25.1,µg/m³
+Paris,FR,2019-05-13 03:00:00+00:00,FR04014,no2,18.9,µg/m³
+Paris,FR,2019-05-13 02:00:00+00:00,FR04014,no2,18.5,µg/m³
+Paris,FR,2019-05-13 01:00:00+00:00,FR04014,no2,18.9,µg/m³
+Paris,FR,2019-05-13 00:00:00+00:00,FR04014,no2,25.0,µg/m³
+Paris,FR,2019-05-12 23:00:00+00:00,FR04014,no2,32.5,µg/m³
+Paris,FR,2019-05-12 22:00:00+00:00,FR04014,no2,46.5,µg/m³
+Paris,FR,2019-05-12 21:00:00+00:00,FR04014,no2,34.2,µg/m³
+Paris,FR,2019-05-12 20:00:00+00:00,FR04014,no2,24.1,µg/m³
+Paris,FR,2019-05-12 19:00:00+00:00,FR04014,no2,19.5,µg/m³
+Paris,FR,2019-05-12 18:00:00+00:00,FR04014,no2,18.2,µg/m³
+Paris,FR,2019-05-12 17:00:00+00:00,FR04014,no2,13.9,µg/m³
+Paris,FR,2019-05-12 16:00:00+00:00,FR04014,no2,11.7,µg/m³
+Paris,FR,2019-05-12 15:00:00+00:00,FR04014,no2,9.6,µg/m³
+Paris,FR,2019-05-12 14:00:00+00:00,FR04014,no2,9.1,µg/m³
+Paris,FR,2019-05-12 13:00:00+00:00,FR04014,no2,8.7,µg/m³
+Paris,FR,2019-05-12 12:00:00+00:00,FR04014,no2,10.9,µg/m³
+Paris,FR,2019-05-12 11:00:00+00:00,FR04014,no2,11.4,µg/m³
+Paris,FR,2019-05-12 10:00:00+00:00,FR04014,no2,11.4,µg/m³
+Paris,FR,2019-05-12 09:00:00+00:00,FR04014,no2,11.7,µg/m³
+Paris,FR,2019-05-12 08:00:00+00:00,FR04014,no2,14.6,µg/m³
+Paris,FR,2019-05-12 07:00:00+00:00,FR04014,no2,15.9,µg/m³
+Paris,FR,2019-05-12 06:00:00+00:00,FR04014,no2,20.1,µg/m³
+Paris,FR,2019-05-12 05:00:00+00:00,FR04014,no2,19.2,µg/m³
+Paris,FR,2019-05-12 04:00:00+00:00,FR04014,no2,16.2,µg/m³
+Paris,FR,2019-05-12 03:00:00+00:00,FR04014,no2,16.0,µg/m³
+Paris,FR,2019-05-12 02:00:00+00:00,FR04014,no2,17.2,µg/m³
+Paris,FR,2019-05-12 01:00:00+00:00,FR04014,no2,19.2,µg/m³
+Paris,FR,2019-05-12 00:00:00+00:00,FR04014,no2,22.8,µg/m³
+Paris,FR,2019-05-11 23:00:00+00:00,FR04014,no2,26.4,µg/m³
+Paris,FR,2019-05-11 22:00:00+00:00,FR04014,no2,27.7,µg/m³
+Paris,FR,2019-05-11 21:00:00+00:00,FR04014,no2,21.1,µg/m³
+Paris,FR,2019-05-11 20:00:00+00:00,FR04014,no2,24.2,µg/m³
+Paris,FR,2019-05-11 19:00:00+00:00,FR04014,no2,31.2,µg/m³
+Paris,FR,2019-05-11 18:00:00+00:00,FR04014,no2,33.1,µg/m³
+Paris,FR,2019-05-11 17:00:00+00:00,FR04014,no2,32.0,µg/m³
+Paris,FR,2019-05-11 16:00:00+00:00,FR04014,no2,19.5,µg/m³
+Paris,FR,2019-05-11 15:00:00+00:00,FR04014,no2,18.0,µg/m³
+Paris,FR,2019-05-11 14:00:00+00:00,FR04014,no2,17.8,µg/m³
+Paris,FR,2019-05-11 13:00:00+00:00,FR04014,no2,30.8,µg/m³
+Paris,FR,2019-05-11 12:00:00+00:00,FR04014,no2,30.2,µg/m³
+Paris,FR,2019-05-11 11:00:00+00:00,FR04014,no2,33.2,µg/m³
+Paris,FR,2019-05-11 10:00:00+00:00,FR04014,no2,36.8,µg/m³
+Paris,FR,2019-05-11 09:00:00+00:00,FR04014,no2,35.7,µg/m³
+Paris,FR,2019-05-11 08:00:00+00:00,FR04014,no2,32.1,µg/m³
+Paris,FR,2019-05-11 07:00:00+00:00,FR04014,no2,29.0,µg/m³
+Paris,FR,2019-05-11 06:00:00+00:00,FR04014,no2,28.9,µg/m³
+Paris,FR,2019-05-11 02:00:00+00:00,FR04014,no2,14.9,µg/m³
+Paris,FR,2019-05-11 01:00:00+00:00,FR04014,no2,15.5,µg/m³
+Paris,FR,2019-05-11 00:00:00+00:00,FR04014,no2,24.8,µg/m³
+Paris,FR,2019-05-10 23:00:00+00:00,FR04014,no2,26.0,µg/m³
+Paris,FR,2019-05-10 22:00:00+00:00,FR04014,no2,28.1,µg/m³
+Paris,FR,2019-05-10 21:00:00+00:00,FR04014,no2,37.0,µg/m³
+Paris,FR,2019-05-10 20:00:00+00:00,FR04014,no2,43.6,µg/m³
+Paris,FR,2019-05-10 19:00:00+00:00,FR04014,no2,39.3,µg/m³
+Paris,FR,2019-05-10 18:00:00+00:00,FR04014,no2,33.4,µg/m³
+Paris,FR,2019-05-10 17:00:00+00:00,FR04014,no2,37.8,µg/m³
+Paris,FR,2019-05-10 16:00:00+00:00,FR04014,no2,30.8,µg/m³
+Paris,FR,2019-05-10 15:00:00+00:00,FR04014,no2,29.6,µg/m³
+Paris,FR,2019-05-10 14:00:00+00:00,FR04014,no2,29.3,µg/m³
+Paris,FR,2019-05-10 13:00:00+00:00,FR04014,no2,22.0,µg/m³
+Paris,FR,2019-05-10 12:00:00+00:00,FR04014,no2,25.3,µg/m³
+Paris,FR,2019-05-10 11:00:00+00:00,FR04014,no2,23.2,µg/m³
+Paris,FR,2019-05-10 10:00:00+00:00,FR04014,no2,35.1,µg/m³
+Paris,FR,2019-05-10 09:00:00+00:00,FR04014,no2,53.4,µg/m³
+Paris,FR,2019-05-10 08:00:00+00:00,FR04014,no2,60.7,µg/m³
+Paris,FR,2019-05-10 07:00:00+00:00,FR04014,no2,57.3,µg/m³
+Paris,FR,2019-05-10 06:00:00+00:00,FR04014,no2,47.4,µg/m³
+Paris,FR,2019-05-10 05:00:00+00:00,FR04014,no2,37.8,µg/m³
+Paris,FR,2019-05-10 04:00:00+00:00,FR04014,no2,20.5,µg/m³
+Paris,FR,2019-05-10 03:00:00+00:00,FR04014,no2,15.0,µg/m³
+Paris,FR,2019-05-10 02:00:00+00:00,FR04014,no2,14.1,µg/m³
+Paris,FR,2019-05-10 01:00:00+00:00,FR04014,no2,19.1,µg/m³
+Paris,FR,2019-05-10 00:00:00+00:00,FR04014,no2,22.7,µg/m³
+Paris,FR,2019-05-09 23:00:00+00:00,FR04014,no2,26.7,µg/m³
+Paris,FR,2019-05-09 22:00:00+00:00,FR04014,no2,29.7,µg/m³
+Paris,FR,2019-05-09 21:00:00+00:00,FR04014,no2,34.5,µg/m³
+Paris,FR,2019-05-09 20:00:00+00:00,FR04014,no2,29.2,µg/m³
+Paris,FR,2019-05-09 19:00:00+00:00,FR04014,no2,23.8,µg/m³
+Paris,FR,2019-05-09 18:00:00+00:00,FR04014,no2,24.4,µg/m³
+Paris,FR,2019-05-09 17:00:00+00:00,FR04014,no2,29.9,µg/m³
+Paris,FR,2019-05-09 16:00:00+00:00,FR04014,no2,27.0,µg/m³
+Paris,FR,2019-05-09 15:00:00+00:00,FR04014,no2,23.9,µg/m³
+Paris,FR,2019-05-09 14:00:00+00:00,FR04014,no2,24.6,µg/m³
+Paris,FR,2019-05-09 13:00:00+00:00,FR04014,no2,21.3,µg/m³
+Paris,FR,2019-05-09 12:00:00+00:00,FR04014,no2,35.1,µg/m³
+Paris,FR,2019-05-09 11:00:00+00:00,FR04014,no2,34.2,µg/m³
+Paris,FR,2019-05-09 10:00:00+00:00,FR04014,no2,43.1,µg/m³
+Paris,FR,2019-05-09 09:00:00+00:00,FR04014,no2,32.3,µg/m³
+Paris,FR,2019-05-09 08:00:00+00:00,FR04014,no2,32.2,µg/m³
+Paris,FR,2019-05-09 07:00:00+00:00,FR04014,no2,49.0,µg/m³
+Paris,FR,2019-05-09 06:00:00+00:00,FR04014,no2,50.7,µg/m³
+Paris,FR,2019-05-09 05:00:00+00:00,FR04014,no2,34.5,µg/m³
+Paris,FR,2019-05-09 04:00:00+00:00,FR04014,no2,15.3,µg/m³
+Paris,FR,2019-05-09 03:00:00+00:00,FR04014,no2,10.4,µg/m³
+Paris,FR,2019-05-09 02:00:00+00:00,FR04014,no2,10.0,µg/m³
+Paris,FR,2019-05-09 01:00:00+00:00,FR04014,no2,10.6,µg/m³
+Paris,FR,2019-05-09 00:00:00+00:00,FR04014,no2,14.7,µg/m³
+Paris,FR,2019-05-08 23:00:00+00:00,FR04014,no2,25.2,µg/m³
+Paris,FR,2019-05-08 22:00:00+00:00,FR04014,no2,32.2,µg/m³
+Paris,FR,2019-05-08 21:00:00+00:00,FR04014,no2,48.9,µg/m³
+Paris,FR,2019-05-08 20:00:00+00:00,FR04014,no2,38.3,µg/m³
+Paris,FR,2019-05-08 19:00:00+00:00,FR04014,no2,41.3,µg/m³
+Paris,FR,2019-05-08 18:00:00+00:00,FR04014,no2,27.8,µg/m³
+Paris,FR,2019-05-08 17:00:00+00:00,FR04014,no2,29.3,µg/m³
+Paris,FR,2019-05-08 16:00:00+00:00,FR04014,no2,38.6,µg/m³
+Paris,FR,2019-05-08 15:00:00+00:00,FR04014,no2,26.0,µg/m³
+Paris,FR,2019-05-08 14:00:00+00:00,FR04014,no2,25.3,µg/m³
+Paris,FR,2019-05-08 13:00:00+00:00,FR04014,no2,14.3,µg/m³
+Paris,FR,2019-05-08 12:00:00+00:00,FR04014,no2,15.1,µg/m³
+Paris,FR,2019-05-08 11:00:00+00:00,FR04014,no2,21.4,µg/m³
+Paris,FR,2019-05-08 10:00:00+00:00,FR04014,no2,33.4,µg/m³
+Paris,FR,2019-05-08 09:00:00+00:00,FR04014,no2,19.7,µg/m³
+Paris,FR,2019-05-08 08:00:00+00:00,FR04014,no2,17.0,µg/m³
+Paris,FR,2019-05-08 07:00:00+00:00,FR04014,no2,19.5,µg/m³
+Paris,FR,2019-05-08 06:00:00+00:00,FR04014,no2,21.7,µg/m³
+Paris,FR,2019-05-08 05:00:00+00:00,FR04014,no2,19.3,µg/m³
+Paris,FR,2019-05-08 04:00:00+00:00,FR04014,no2,15.5,µg/m³
+Paris,FR,2019-05-08 03:00:00+00:00,FR04014,no2,13.5,µg/m³
+Paris,FR,2019-05-08 02:00:00+00:00,FR04014,no2,15.3,µg/m³
+Paris,FR,2019-05-08 01:00:00+00:00,FR04014,no2,19.6,µg/m³
+Paris,FR,2019-05-08 00:00:00+00:00,FR04014,no2,22.1,µg/m³
+Paris,FR,2019-05-07 23:00:00+00:00,FR04014,no2,34.0,µg/m³
+Paris,FR,2019-05-07 22:00:00+00:00,FR04014,no2,35.8,µg/m³
+Paris,FR,2019-05-07 21:00:00+00:00,FR04014,no2,33.9,µg/m³
+Paris,FR,2019-05-07 20:00:00+00:00,FR04014,no2,36.2,µg/m³
+Paris,FR,2019-05-07 19:00:00+00:00,FR04014,no2,26.8,µg/m³
+Paris,FR,2019-05-07 18:00:00+00:00,FR04014,no2,21.4,µg/m³
+Paris,FR,2019-05-07 17:00:00+00:00,FR04014,no2,22.3,µg/m³
+Paris,FR,2019-05-07 16:00:00+00:00,FR04014,no2,18.2,µg/m³
+Paris,FR,2019-05-07 15:00:00+00:00,FR04014,no2,11.7,µg/m³
+Paris,FR,2019-05-07 14:00:00+00:00,FR04014,no2,11.0,µg/m³
+Paris,FR,2019-05-07 13:00:00+00:00,FR04014,no2,13.2,µg/m³
+Paris,FR,2019-05-07 12:00:00+00:00,FR04014,no2,10.6,µg/m³
+Paris,FR,2019-05-07 11:00:00+00:00,FR04014,no2,13.0,µg/m³
+Paris,FR,2019-05-07 10:00:00+00:00,FR04014,no2,20.1,µg/m³
+Paris,FR,2019-05-07 09:00:00+00:00,FR04014,no2,34.5,µg/m³
+Paris,FR,2019-05-07 08:00:00+00:00,FR04014,no2,56.0,µg/m³
+Paris,FR,2019-05-07 07:00:00+00:00,FR04014,no2,67.9,µg/m³
+Paris,FR,2019-05-07 06:00:00+00:00,FR04014,no2,77.7,µg/m³
+Paris,FR,2019-05-07 05:00:00+00:00,FR04014,no2,72.4,µg/m³
+Paris,FR,2019-05-07 04:00:00+00:00,FR04014,no2,61.9,µg/m³
+Paris,FR,2019-05-07 03:00:00+00:00,FR04014,no2,50.4,µg/m³
+Paris,FR,2019-05-07 02:00:00+00:00,FR04014,no2,27.7,µg/m³
+Paris,FR,2019-05-07 01:00:00+00:00,FR04014,no2,25.0,µg/m³
+Antwerpen,BE,2019-06-17 08:00:00+00:00,BETR801,no2,41.0,µg/m³
+Antwerpen,BE,2019-06-17 07:00:00+00:00,BETR801,no2,45.0,µg/m³
+Antwerpen,BE,2019-06-17 06:00:00+00:00,BETR801,no2,43.5,µg/m³
+Antwerpen,BE,2019-06-17 05:00:00+00:00,BETR801,no2,42.5,µg/m³
+Antwerpen,BE,2019-06-17 04:00:00+00:00,BETR801,no2,39.5,µg/m³
+Antwerpen,BE,2019-06-17 03:00:00+00:00,BETR801,no2,36.0,µg/m³
+Antwerpen,BE,2019-06-17 02:00:00+00:00,BETR801,no2,35.5,µg/m³
+Antwerpen,BE,2019-06-17 01:00:00+00:00,BETR801,no2,42.0,µg/m³
+Antwerpen,BE,2019-06-16 01:00:00+00:00,BETR801,no2,42.5,µg/m³
+Antwerpen,BE,2019-06-15 01:00:00+00:00,BETR801,no2,17.5,µg/m³
+Antwerpen,BE,2019-06-14 09:00:00+00:00,BETR801,no2,36.5,µg/m³
+Antwerpen,BE,2019-06-13 01:00:00+00:00,BETR801,no2,28.5,µg/m³
+Antwerpen,BE,2019-06-12 01:00:00+00:00,BETR801,no2,21.0,µg/m³
+Antwerpen,BE,2019-06-11 01:00:00+00:00,BETR801,no2,7.5,µg/m³
+Antwerpen,BE,2019-06-10 01:00:00+00:00,BETR801,no2,18.5,µg/m³
+Antwerpen,BE,2019-06-09 01:00:00+00:00,BETR801,no2,10.0,µg/m³
+Antwerpen,BE,2019-06-05 01:00:00+00:00,BETR801,no2,15.0,µg/m³
+Antwerpen,BE,2019-06-01 01:00:00+00:00,BETR801,no2,52.5,µg/m³
+Antwerpen,BE,2019-05-31 01:00:00+00:00,BETR801,no2,9.0,µg/m³
+Antwerpen,BE,2019-05-30 01:00:00+00:00,BETR801,no2,7.5,µg/m³
+Antwerpen,BE,2019-05-29 01:00:00+00:00,BETR801,no2,21.0,µg/m³
+Antwerpen,BE,2019-05-28 01:00:00+00:00,BETR801,no2,11.0,µg/m³
+Antwerpen,BE,2019-05-27 01:00:00+00:00,BETR801,no2,10.5,µg/m³
+Antwerpen,BE,2019-05-26 01:00:00+00:00,BETR801,no2,53.0,µg/m³
+Antwerpen,BE,2019-05-25 01:00:00+00:00,BETR801,no2,29.0,µg/m³
+Antwerpen,BE,2019-05-24 01:00:00+00:00,BETR801,no2,74.5,µg/m³
+Antwerpen,BE,2019-05-23 01:00:00+00:00,BETR801,no2,60.5,µg/m³
+Antwerpen,BE,2019-05-22 01:00:00+00:00,BETR801,no2,20.5,µg/m³
+Antwerpen,BE,2019-05-21 01:00:00+00:00,BETR801,no2,15.5,µg/m³
+Antwerpen,BE,2019-05-20 15:00:00+00:00,BETR801,no2,25.5,µg/m³
+Antwerpen,BE,2019-05-20 14:00:00+00:00,BETR801,no2,24.5,µg/m³
+Antwerpen,BE,2019-05-20 13:00:00+00:00,BETR801,no2,32.0,µg/m³
+Antwerpen,BE,2019-05-20 12:00:00+00:00,BETR801,no2,34.5,µg/m³
+Antwerpen,BE,2019-05-20 11:00:00+00:00,BETR801,no2,25.0,µg/m³
+Antwerpen,BE,2019-05-20 10:00:00+00:00,BETR801,no2,25.0,µg/m³
+Antwerpen,BE,2019-05-20 09:00:00+00:00,BETR801,no2,30.5,µg/m³
+Antwerpen,BE,2019-05-20 08:00:00+00:00,BETR801,no2,40.0,µg/m³
+Antwerpen,BE,2019-05-20 07:00:00+00:00,BETR801,no2,38.0,µg/m³
+Antwerpen,BE,2019-05-20 06:00:00+00:00,BETR801,no2,26.0,µg/m³
+Antwerpen,BE,2019-05-20 05:00:00+00:00,BETR801,no2,20.0,µg/m³
+Antwerpen,BE,2019-05-20 04:00:00+00:00,BETR801,no2,14.0,µg/m³
+Antwerpen,BE,2019-05-20 03:00:00+00:00,BETR801,no2,9.0,µg/m³
+Antwerpen,BE,2019-05-20 02:00:00+00:00,BETR801,no2,10.5,µg/m³
+Antwerpen,BE,2019-05-20 01:00:00+00:00,BETR801,no2,17.0,µg/m³
+Antwerpen,BE,2019-05-20 00:00:00+00:00,BETR801,no2,26.0,µg/m³
+Antwerpen,BE,2019-05-19 23:00:00+00:00,BETR801,no2,16.5,µg/m³
+Antwerpen,BE,2019-05-19 22:00:00+00:00,BETR801,no2,18.5,µg/m³
+Antwerpen,BE,2019-05-19 21:00:00+00:00,BETR801,no2,12.5,µg/m³
+Antwerpen,BE,2019-05-19 20:00:00+00:00,BETR801,no2,15.0,µg/m³
+Antwerpen,BE,2019-05-19 19:00:00+00:00,BETR801,no2,26.0,µg/m³
+Antwerpen,BE,2019-05-19 18:00:00+00:00,BETR801,no2,15.5,µg/m³
+Antwerpen,BE,2019-05-19 17:00:00+00:00,BETR801,no2,18.5,µg/m³
+Antwerpen,BE,2019-05-19 16:00:00+00:00,BETR801,no2,17.5,µg/m³
+Antwerpen,BE,2019-05-19 15:00:00+00:00,BETR801,no2,33.0,µg/m³
+Antwerpen,BE,2019-05-19 14:00:00+00:00,BETR801,no2,23.0,µg/m³
+Antwerpen,BE,2019-05-19 13:00:00+00:00,BETR801,no2,14.5,µg/m³
+Antwerpen,BE,2019-05-19 12:00:00+00:00,BETR801,no2,16.0,µg/m³
+Antwerpen,BE,2019-05-19 11:00:00+00:00,BETR801,no2,17.0,µg/m³
+Antwerpen,BE,2019-05-19 10:00:00+00:00,BETR801,no2,17.5,µg/m³
+Antwerpen,BE,2019-05-19 09:00:00+00:00,BETR801,no2,16.0,µg/m³
+Antwerpen,BE,2019-05-19 08:00:00+00:00,BETR801,no2,23.5,µg/m³
+Antwerpen,BE,2019-05-19 07:00:00+00:00,BETR801,no2,30.0,µg/m³
+Antwerpen,BE,2019-05-19 06:00:00+00:00,BETR801,no2,30.5,µg/m³
+Antwerpen,BE,2019-05-19 05:00:00+00:00,BETR801,no2,26.0,µg/m³
+Antwerpen,BE,2019-05-19 04:00:00+00:00,BETR801,no2,21.0,µg/m³
+Antwerpen,BE,2019-05-19 03:00:00+00:00,BETR801,no2,19.0,µg/m³
+Antwerpen,BE,2019-05-19 02:00:00+00:00,BETR801,no2,19.0,µg/m³
+Antwerpen,BE,2019-05-19 01:00:00+00:00,BETR801,no2,22.5,µg/m³
+Antwerpen,BE,2019-05-19 00:00:00+00:00,BETR801,no2,23.5,µg/m³
+Antwerpen,BE,2019-05-18 23:00:00+00:00,BETR801,no2,29.5,µg/m³
+Antwerpen,BE,2019-05-18 22:00:00+00:00,BETR801,no2,34.5,µg/m³
+Antwerpen,BE,2019-05-18 21:00:00+00:00,BETR801,no2,39.0,µg/m³
+Antwerpen,BE,2019-05-18 20:00:00+00:00,BETR801,no2,40.0,µg/m³
+Antwerpen,BE,2019-05-18 19:00:00+00:00,BETR801,no2,35.5,µg/m³
+Antwerpen,BE,2019-05-18 18:00:00+00:00,BETR801,no2,35.5,µg/m³
+Antwerpen,BE,2019-05-18 01:00:00+00:00,BETR801,no2,41.5,µg/m³
+Antwerpen,BE,2019-05-16 01:00:00+00:00,BETR801,no2,28.0,µg/m³
+Antwerpen,BE,2019-05-15 02:00:00+00:00,BETR801,no2,22.5,µg/m³
+Antwerpen,BE,2019-05-15 01:00:00+00:00,BETR801,no2,25.5,µg/m³
+Antwerpen,BE,2019-05-14 02:00:00+00:00,BETR801,no2,11.5,µg/m³
+Antwerpen,BE,2019-05-14 01:00:00+00:00,BETR801,no2,14.5,µg/m³
+Antwerpen,BE,2019-05-13 02:00:00+00:00,BETR801,no2,14.5,µg/m³
+Antwerpen,BE,2019-05-13 01:00:00+00:00,BETR801,no2,14.5,µg/m³
+Antwerpen,BE,2019-05-12 02:00:00+00:00,BETR801,no2,20.0,µg/m³
+Antwerpen,BE,2019-05-12 01:00:00+00:00,BETR801,no2,17.5,µg/m³
+Antwerpen,BE,2019-05-11 02:00:00+00:00,BETR801,no2,21.0,µg/m³
+Antwerpen,BE,2019-05-11 01:00:00+00:00,BETR801,no2,26.5,µg/m³
+Antwerpen,BE,2019-05-10 02:00:00+00:00,BETR801,no2,11.5,µg/m³
+Antwerpen,BE,2019-05-10 01:00:00+00:00,BETR801,no2,10.5,µg/m³
+Antwerpen,BE,2019-05-09 02:00:00+00:00,BETR801,no2,20.5,µg/m³
+Antwerpen,BE,2019-05-09 01:00:00+00:00,BETR801,no2,20.0,µg/m³
+Antwerpen,BE,2019-05-08 02:00:00+00:00,BETR801,no2,20.5,µg/m³
+Antwerpen,BE,2019-05-08 01:00:00+00:00,BETR801,no2,23.0,µg/m³
+Antwerpen,BE,2019-05-07 02:00:00+00:00,BETR801,no2,45.0,µg/m³
+Antwerpen,BE,2019-05-07 01:00:00+00:00,BETR801,no2,50.5,µg/m³
+London,GB,2019-06-17 11:00:00+00:00,London Westminster,no2,11.0,µg/m³
+London,GB,2019-06-17 10:00:00+00:00,London Westminster,no2,11.0,µg/m³
+London,GB,2019-06-17 09:00:00+00:00,London Westminster,no2,11.0,µg/m³
+London,GB,2019-06-17 08:00:00+00:00,London Westminster,no2,13.0,µg/m³
+London,GB,2019-06-17 07:00:00+00:00,London Westminster,no2,13.0,µg/m³
+London,GB,2019-06-17 06:00:00+00:00,London Westminster,no2,12.0,µg/m³
+London,GB,2019-06-17 05:00:00+00:00,London Westminster,no2,11.0,µg/m³
+London,GB,2019-06-17 04:00:00+00:00,London Westminster,no2,11.0,µg/m³
+London,GB,2019-06-17 03:00:00+00:00,London Westminster,no2,14.0,µg/m³
+London,GB,2019-06-17 02:00:00+00:00,London Westminster,no2,14.0,µg/m³
+London,GB,2019-06-17 01:00:00+00:00,London Westminster,no2,17.0,µg/m³
+London,GB,2019-06-17 00:00:00+00:00,London Westminster,no2,17.0,µg/m³
+London,GB,2019-06-16 23:00:00+00:00,London Westminster,no2,23.0,µg/m³
+London,GB,2019-06-16 21:00:00+00:00,London Westminster,no2,25.0,µg/m³
+London,GB,2019-06-16 20:00:00+00:00,London Westminster,no2,27.0,µg/m³
+London,GB,2019-06-16 19:00:00+00:00,London Westminster,no2,28.0,µg/m³
+London,GB,2019-06-16 18:00:00+00:00,London Westminster,no2,28.0,µg/m³
+London,GB,2019-06-16 17:00:00+00:00,London Westminster,no2,29.0,µg/m³
+London,GB,2019-06-16 16:00:00+00:00,London Westminster,no2,29.0,µg/m³
+London,GB,2019-06-16 15:00:00+00:00,London Westminster,no2,26.0,µg/m³
+London,GB,2019-06-16 14:00:00+00:00,London Westminster,no2,23.0,µg/m³
+London,GB,2019-06-16 13:00:00+00:00,London Westminster,no2,16.0,µg/m³
+London,GB,2019-06-16 12:00:00+00:00,London Westminster,no2,10.0,µg/m³
+London,GB,2019-06-16 11:00:00+00:00,London Westminster,no2,6.0,µg/m³
+London,GB,2019-06-16 10:00:00+00:00,London Westminster,no2,6.0,µg/m³
+London,GB,2019-06-16 09:00:00+00:00,London Westminster,no2,5.0,µg/m³
+London,GB,2019-06-16 08:00:00+00:00,London Westminster,no2,4.0,µg/m³
+London,GB,2019-06-16 07:00:00+00:00,London Westminster,no2,5.0,µg/m³
+London,GB,2019-06-16 06:00:00+00:00,London Westminster,no2,8.0,µg/m³
+London,GB,2019-06-16 05:00:00+00:00,London Westminster,no2,10.0,µg/m³
+London,GB,2019-06-16 04:00:00+00:00,London Westminster,no2,10.0,µg/m³
+London,GB,2019-06-16 03:00:00+00:00,London Westminster,no2,12.0,µg/m³
+London,GB,2019-06-16 02:00:00+00:00,London Westminster,no2,12.0,µg/m³
+London,GB,2019-06-16 01:00:00+00:00,London Westminster,no2,15.0,µg/m³
+London,GB,2019-06-16 00:00:00+00:00,London Westminster,no2,15.0,µg/m³
+London,GB,2019-06-15 23:00:00+00:00,London Westminster,no2,19.0,µg/m³
+London,GB,2019-06-15 22:00:00+00:00,London Westminster,no2,19.0,µg/m³
+London,GB,2019-06-15 21:00:00+00:00,London Westminster,no2,20.0,µg/m³
+London,GB,2019-06-15 20:00:00+00:00,London Westminster,no2,21.0,µg/m³
+London,GB,2019-06-15 19:00:00+00:00,London Westminster,no2,22.0,µg/m³
+London,GB,2019-06-15 18:00:00+00:00,London Westminster,no2,22.0,µg/m³
+London,GB,2019-06-15 17:00:00+00:00,London Westminster,no2,20.0,µg/m³
+London,GB,2019-06-15 16:00:00+00:00,London Westminster,no2,18.0,µg/m³
+London,GB,2019-06-15 15:00:00+00:00,London Westminster,no2,18.0,µg/m³
+London,GB,2019-06-15 14:00:00+00:00,London Westminster,no2,17.0,µg/m³
+London,GB,2019-06-15 13:00:00+00:00,London Westminster,no2,18.0,µg/m³
+London,GB,2019-06-15 12:00:00+00:00,London Westminster,no2,13.0,µg/m³
+London,GB,2019-06-15 11:00:00+00:00,London Westminster,no2,14.0,µg/m³
+London,GB,2019-06-15 10:00:00+00:00,London Westminster,no2,12.0,µg/m³
+London,GB,2019-06-15 09:00:00+00:00,London Westminster,no2,8.0,µg/m³
+London,GB,2019-06-15 08:00:00+00:00,London Westminster,no2,8.0,µg/m³
+London,GB,2019-06-15 07:00:00+00:00,London Westminster,no2,13.0,µg/m³
+London,GB,2019-06-15 06:00:00+00:00,London Westminster,no2,13.0,µg/m³
+London,GB,2019-06-15 05:00:00+00:00,London Westminster,no2,10.0,µg/m³
+London,GB,2019-06-15 04:00:00+00:00,London Westminster,no2,10.0,µg/m³
+London,GB,2019-06-15 00:00:00+00:00,London Westminster,no2,26.0,µg/m³
+London,GB,2019-06-14 23:00:00+00:00,London Westminster,no2,26.0,µg/m³
+London,GB,2019-06-14 22:00:00+00:00,London Westminster,no2,26.0,µg/m³
+London,GB,2019-06-14 21:00:00+00:00,London Westminster,no2,25.0,µg/m³
+London,GB,2019-06-14 20:00:00+00:00,London Westminster,no2,26.0,µg/m³
+London,GB,2019-06-14 19:00:00+00:00,London Westminster,no2,26.0,µg/m³
+London,GB,2019-06-14 18:00:00+00:00,London Westminster,no2,27.0,µg/m³
+London,GB,2019-06-14 17:00:00+00:00,London Westminster,no2,26.0,µg/m³
+London,GB,2019-06-14 16:00:00+00:00,London Westminster,no2,25.0,µg/m³
+London,GB,2019-06-14 15:00:00+00:00,London Westminster,no2,25.0,µg/m³
+London,GB,2019-06-14 14:00:00+00:00,London Westminster,no2,22.0,µg/m³
+London,GB,2019-06-14 13:00:00+00:00,London Westminster,no2,16.0,µg/m³
+London,GB,2019-06-14 12:00:00+00:00,London Westminster,no2,15.0,µg/m³
+London,GB,2019-06-14 11:00:00+00:00,London Westminster,no2,13.0,µg/m³
+London,GB,2019-06-14 10:00:00+00:00,London Westminster,no2,13.0,µg/m³
+London,GB,2019-06-14 09:00:00+00:00,London Westminster,no2,14.0,µg/m³
+London,GB,2019-06-14 08:00:00+00:00,London Westminster,no2,11.0,µg/m³
+London,GB,2019-06-14 07:00:00+00:00,London Westminster,no2,11.0,µg/m³
+London,GB,2019-06-14 06:00:00+00:00,London Westminster,no2,13.0,µg/m³
+London,GB,2019-06-14 05:00:00+00:00,London Westminster,no2,6.0,µg/m³
+London,GB,2019-06-14 04:00:00+00:00,London Westminster,no2,6.0,µg/m³
+London,GB,2019-06-14 03:00:00+00:00,London Westminster,no2,8.0,µg/m³
+London,GB,2019-06-14 02:00:00+00:00,London Westminster,no2,8.0,µg/m³
+London,GB,2019-06-14 00:00:00+00:00,London Westminster,no2,13.0,µg/m³
+London,GB,2019-06-13 23:00:00+00:00,London Westminster,no2,15.0,µg/m³
+London,GB,2019-06-13 22:00:00+00:00,London Westminster,no2,15.0,µg/m³
+London,GB,2019-06-13 21:00:00+00:00,London Westminster,no2,15.0,µg/m³
+London,GB,2019-06-13 20:00:00+00:00,London Westminster,no2,14.0,µg/m³
+London,GB,2019-06-13 19:00:00+00:00,London Westminster,no2,13.0,µg/m³
+London,GB,2019-06-13 18:00:00+00:00,London Westminster,no2,14.0,µg/m³
+London,GB,2019-06-13 17:00:00+00:00,London Westminster,no2,15.0,µg/m³
+London,GB,2019-06-13 16:00:00+00:00,London Westminster,no2,11.0,µg/m³
+London,GB,2019-06-13 15:00:00+00:00,London Westminster,no2,13.0,µg/m³
+London,GB,2019-06-13 14:00:00+00:00,London Westminster,no2,15.0,µg/m³
+London,GB,2019-06-13 13:00:00+00:00,London Westminster,no2,16.0,µg/m³
+London,GB,2019-06-13 12:00:00+00:00,London Westminster,no2,19.0,µg/m³
+London,GB,2019-06-13 11:00:00+00:00,London Westminster,no2,19.0,µg/m³
+London,GB,2019-06-13 10:00:00+00:00,London Westminster,no2,18.0,µg/m³
+London,GB,2019-06-13 09:00:00+00:00,London Westminster,no2,16.0,µg/m³
+London,GB,2019-06-13 08:00:00+00:00,London Westminster,no2,19.0,µg/m³
+London,GB,2019-06-13 07:00:00+00:00,London Westminster,no2,21.0,µg/m³
+London,GB,2019-06-13 06:00:00+00:00,London Westminster,no2,19.0,µg/m³
+London,GB,2019-06-13 05:00:00+00:00,London Westminster,no2,16.0,µg/m³
+London,GB,2019-06-13 04:00:00+00:00,London Westminster,no2,16.0,µg/m³
+London,GB,2019-06-13 03:00:00+00:00,London Westminster,no2,26.0,µg/m³
+London,GB,2019-06-13 02:00:00+00:00,London Westminster,no2,26.0,µg/m³
+London,GB,2019-06-13 00:00:00+00:00,London Westminster,no2,29.0,µg/m³
+London,GB,2019-06-12 23:00:00+00:00,London Westminster,no2,35.0,µg/m³
+London,GB,2019-06-12 21:00:00+00:00,London Westminster,no2,43.0,µg/m³
+London,GB,2019-06-12 20:00:00+00:00,London Westminster,no2,41.0,µg/m³
+London,GB,2019-06-12 19:00:00+00:00,London Westminster,no2,33.0,µg/m³
+London,GB,2019-06-12 18:00:00+00:00,London Westminster,no2,45.0,µg/m³
+London,GB,2019-06-12 17:00:00+00:00,London Westminster,no2,43.0,µg/m³
+London,GB,2019-06-12 16:00:00+00:00,London Westminster,no2,45.0,µg/m³
+London,GB,2019-06-12 15:00:00+00:00,London Westminster,no2,42.0,µg/m³
+London,GB,2019-06-12 14:00:00+00:00,London Westminster,no2,35.0,µg/m³
+London,GB,2019-06-12 13:00:00+00:00,London Westminster,no2,33.0,µg/m³
+London,GB,2019-06-12 12:00:00+00:00,London Westminster,no2,33.0,µg/m³
+London,GB,2019-06-12 11:00:00+00:00,London Westminster,no2,35.0,µg/m³
+London,GB,2019-06-12 10:00:00+00:00,London Westminster,no2,25.0,µg/m³
+London,GB,2019-06-12 09:00:00+00:00,London Westminster,no2,22.0,µg/m³
+London,GB,2019-06-12 08:00:00+00:00,London Westminster,no2,20.0,µg/m³
+London,GB,2019-06-12 07:00:00+00:00,London Westminster,no2,17.0,µg/m³
+London,GB,2019-06-12 06:00:00+00:00,London Westminster,no2,12.0,µg/m³
+London,GB,2019-06-12 05:00:00+00:00,London Westminster,no2,9.0,µg/m³
+London,GB,2019-06-12 04:00:00+00:00,London Westminster,no2,9.0,µg/m³
+London,GB,2019-06-12 03:00:00+00:00,London Westminster,no2,11.0,µg/m³
+London,GB,2019-06-12 00:00:00+00:00,London Westminster,no2,15.0,µg/m³
+London,GB,2019-06-11 23:00:00+00:00,London Westminster,no2,20.0,µg/m³
+London,GB,2019-06-11 22:00:00+00:00,London Westminster,no2,20.0,µg/m³
+London,GB,2019-06-11 21:00:00+00:00,London Westminster,no2,22.0,µg/m³
+London,GB,2019-06-11 20:00:00+00:00,London Westminster,no2,22.0,µg/m³
+London,GB,2019-06-11 19:00:00+00:00,London Westminster,no2,30.0,µg/m³
+London,GB,2019-06-11 18:00:00+00:00,London Westminster,no2,31.0,µg/m³
+London,GB,2019-06-11 17:00:00+00:00,London Westminster,no2,30.0,µg/m³
+London,GB,2019-06-11 16:00:00+00:00,London Westminster,no2,31.0,µg/m³
+London,GB,2019-06-11 15:00:00+00:00,London Westminster,no2,31.0,µg/m³
+London,GB,2019-06-11 14:00:00+00:00,London Westminster,no2,35.0,µg/m³
+London,GB,2019-06-11 13:00:00+00:00,London Westminster,no2,26.0,µg/m³
+London,GB,2019-06-11 12:00:00+00:00,London Westminster,no2,23.0,µg/m³
+London,GB,2019-06-11 11:00:00+00:00,London Westminster,no2,22.0,µg/m³
+London,GB,2019-06-11 10:00:00+00:00,London Westminster,no2,22.0,µg/m³
+London,GB,2019-06-11 09:00:00+00:00,London Westminster,no2,23.0,µg/m³
+London,GB,2019-06-11 08:00:00+00:00,London Westminster,no2,21.0,µg/m³
+London,GB,2019-06-11 07:00:00+00:00,London Westminster,no2,18.0,µg/m³
+London,GB,2019-06-11 06:00:00+00:00,London Westminster,no2,17.0,µg/m³
+London,GB,2019-06-11 05:00:00+00:00,London Westminster,no2,13.0,µg/m³
+London,GB,2019-06-11 04:00:00+00:00,London Westminster,no2,13.0,µg/m³
+London,GB,2019-06-11 03:00:00+00:00,London Westminster,no2,16.0,µg/m³
+London,GB,2019-06-11 02:00:00+00:00,London Westminster,no2,16.0,µg/m³
+London,GB,2019-06-11 01:00:00+00:00,London Westminster,no2,15.0,µg/m³
+London,GB,2019-06-11 00:00:00+00:00,London Westminster,no2,15.0,µg/m³
+London,GB,2019-06-10 23:00:00+00:00,London Westminster,no2,23.0,µg/m³
+London,GB,2019-06-10 22:00:00+00:00,London Westminster,no2,23.0,µg/m³
+London,GB,2019-06-10 21:00:00+00:00,London Westminster,no2,24.0,µg/m³
+London,GB,2019-06-10 20:00:00+00:00,London Westminster,no2,26.0,µg/m³
+London,GB,2019-06-10 19:00:00+00:00,London Westminster,no2,25.0,µg/m³
+London,GB,2019-06-10 18:00:00+00:00,London Westminster,no2,26.0,µg/m³
+London,GB,2019-06-10 17:00:00+00:00,London Westminster,no2,28.0,µg/m³
+London,GB,2019-06-10 16:00:00+00:00,London Westminster,no2,31.0,µg/m³
+London,GB,2019-06-10 15:00:00+00:00,London Westminster,no2,40.0,µg/m³
+London,GB,2019-06-10 14:00:00+00:00,London Westminster,no2,40.0,µg/m³
+London,GB,2019-06-10 13:00:00+00:00,London Westminster,no2,51.0,µg/m³
+London,GB,2019-06-10 12:00:00+00:00,London Westminster,no2,45.0,µg/m³
+London,GB,2019-06-10 11:00:00+00:00,London Westminster,no2,41.0,µg/m³
+London,GB,2019-06-10 10:00:00+00:00,London Westminster,no2,45.0,µg/m³
+London,GB,2019-06-10 09:00:00+00:00,London Westminster,no2,34.0,µg/m³
+London,GB,2019-06-10 08:00:00+00:00,London Westminster,no2,27.0,µg/m³
+London,GB,2019-06-10 07:00:00+00:00,London Westminster,no2,22.0,µg/m³
+London,GB,2019-06-10 06:00:00+00:00,London Westminster,no2,24.0,µg/m³
+London,GB,2019-06-10 05:00:00+00:00,London Westminster,no2,24.0,µg/m³
+London,GB,2019-06-10 04:00:00+00:00,London Westminster,no2,24.0,µg/m³
+London,GB,2019-06-10 03:00:00+00:00,London Westminster,no2,25.0,µg/m³
+London,GB,2019-06-10 02:00:00+00:00,London Westminster,no2,25.0,µg/m³
+London,GB,2019-06-10 01:00:00+00:00,London Westminster,no2,21.0,µg/m³
+London,GB,2019-06-10 00:00:00+00:00,London Westminster,no2,21.0,µg/m³
+London,GB,2019-06-09 23:00:00+00:00,London Westminster,no2,24.0,µg/m³
+London,GB,2019-06-09 21:00:00+00:00,London Westminster,no2,22.0,µg/m³
+London,GB,2019-06-09 20:00:00+00:00,London Westminster,no2,21.0,µg/m³
+London,GB,2019-06-09 19:00:00+00:00,London Westminster,no2,21.0,µg/m³
+London,GB,2019-06-09 18:00:00+00:00,London Westminster,no2,20.0,µg/m³
+London,GB,2019-06-09 17:00:00+00:00,London Westminster,no2,26.0,µg/m³
+London,GB,2019-06-09 16:00:00+00:00,London Westminster,no2,24.0,µg/m³
+London,GB,2019-06-09 15:00:00+00:00,London Westminster,no2,19.0,µg/m³
+London,GB,2019-06-09 14:00:00+00:00,London Westminster,no2,17.0,µg/m³
+London,GB,2019-06-09 13:00:00+00:00,London Westminster,no2,13.0,µg/m³
+London,GB,2019-06-09 12:00:00+00:00,London Westminster,no2,8.0,µg/m³
+London,GB,2019-06-09 11:00:00+00:00,London Westminster,no2,5.0,µg/m³
+London,GB,2019-06-09 10:00:00+00:00,London Westminster,no2,2.0,µg/m³
+London,GB,2019-06-09 09:00:00+00:00,London Westminster,no2,0.0,µg/m³
+London,GB,2019-06-09 08:00:00+00:00,London Westminster,no2,0.0,µg/m³
+London,GB,2019-06-09 07:00:00+00:00,London Westminster,no2,1.0,µg/m³
+London,GB,2019-06-09 06:00:00+00:00,London Westminster,no2,5.0,µg/m³
+London,GB,2019-06-09 05:00:00+00:00,London Westminster,no2,1.0,µg/m³
+London,GB,2019-06-09 04:00:00+00:00,London Westminster,no2,1.0,µg/m³
+London,GB,2019-06-09 03:00:00+00:00,London Westminster,no2,7.0,µg/m³
+London,GB,2019-06-09 02:00:00+00:00,London Westminster,no2,7.0,µg/m³
+London,GB,2019-06-09 01:00:00+00:00,London Westminster,no2,10.0,µg/m³
+London,GB,2019-06-09 00:00:00+00:00,London Westminster,no2,10.0,µg/m³
+London,GB,2019-06-08 23:00:00+00:00,London Westminster,no2,20.0,µg/m³
+London,GB,2019-06-08 21:00:00+00:00,London Westminster,no2,16.0,µg/m³
+London,GB,2019-06-08 20:00:00+00:00,London Westminster,no2,17.0,µg/m³
+London,GB,2019-06-08 19:00:00+00:00,London Westminster,no2,19.0,µg/m³
+London,GB,2019-06-08 18:00:00+00:00,London Westminster,no2,20.0,µg/m³
+London,GB,2019-06-08 17:00:00+00:00,London Westminster,no2,20.0,µg/m³
+London,GB,2019-06-08 16:00:00+00:00,London Westminster,no2,19.0,µg/m³
+London,GB,2019-06-08 15:00:00+00:00,London Westminster,no2,17.0,µg/m³
+London,GB,2019-06-08 14:00:00+00:00,London Westminster,no2,13.0,µg/m³
+London,GB,2019-06-08 13:00:00+00:00,London Westminster,no2,10.0,µg/m³
+London,GB,2019-06-08 12:00:00+00:00,London Westminster,no2,8.0,µg/m³
+London,GB,2019-06-08 11:00:00+00:00,London Westminster,no2,4.0,µg/m³
+London,GB,2019-06-08 10:00:00+00:00,London Westminster,no2,3.0,µg/m³
+London,GB,2019-06-08 09:00:00+00:00,London Westminster,no2,2.0,µg/m³
+London,GB,2019-06-08 08:00:00+00:00,London Westminster,no2,4.0,µg/m³
+London,GB,2019-06-08 07:00:00+00:00,London Westminster,no2,3.0,µg/m³
+London,GB,2019-06-08 06:00:00+00:00,London Westminster,no2,2.0,µg/m³
+London,GB,2019-06-08 05:00:00+00:00,London Westminster,no2,3.0,µg/m³
+London,GB,2019-06-08 04:00:00+00:00,London Westminster,no2,3.0,µg/m³
+London,GB,2019-06-08 03:00:00+00:00,London Westminster,no2,7.0,µg/m³
+London,GB,2019-06-08 02:00:00+00:00,London Westminster,no2,7.0,µg/m³
+London,GB,2019-06-08 00:00:00+00:00,London Westminster,no2,28.0,µg/m³
+London,GB,2019-06-07 23:00:00+00:00,London Westminster,no2,33.0,µg/m³
+London,GB,2019-06-07 21:00:00+00:00,London Westminster,no2,35.0,µg/m³
+London,GB,2019-06-07 20:00:00+00:00,London Westminster,no2,36.0,µg/m³
+London,GB,2019-06-07 19:00:00+00:00,London Westminster,no2,35.0,µg/m³
+London,GB,2019-06-07 18:00:00+00:00,London Westminster,no2,27.0,µg/m³
+London,GB,2019-06-07 17:00:00+00:00,London Westminster,no2,24.0,µg/m³
+London,GB,2019-06-07 16:00:00+00:00,London Westminster,no2,21.0,µg/m³
+London,GB,2019-06-07 15:00:00+00:00,London Westminster,no2,15.0,µg/m³
+London,GB,2019-06-07 14:00:00+00:00,London Westminster,no2,15.0,µg/m³
+London,GB,2019-06-07 13:00:00+00:00,London Westminster,no2,20.0,µg/m³
+London,GB,2019-06-07 12:00:00+00:00,London Westminster,no2,27.0,µg/m³
+London,GB,2019-06-07 11:00:00+00:00,London Westminster,no2,25.0,µg/m³
+London,GB,2019-06-07 10:00:00+00:00,London Westminster,no2,23.0,µg/m³
+London,GB,2019-06-07 09:00:00+00:00,London Westminster,no2,25.0,µg/m³
+London,GB,2019-06-07 08:00:00+00:00,London Westminster,no2,24.0,µg/m³
+London,GB,2019-06-07 07:00:00+00:00,London Westminster,no2,23.0,µg/m³
+London,GB,2019-06-07 06:00:00+00:00,London Westminster,no2,25.0,µg/m³
+London,GB,2019-06-07 05:00:00+00:00,London Westminster,no2,23.0,µg/m³
+London,GB,2019-06-07 04:00:00+00:00,London Westminster,no2,23.0,µg/m³
+London,GB,2019-06-07 03:00:00+00:00,London Westminster,no2,27.0,µg/m³
+London,GB,2019-06-07 02:00:00+00:00,London Westminster,no2,27.0,µg/m³
+London,GB,2019-06-07 01:00:00+00:00,London Westminster,no2,23.0,µg/m³
+London,GB,2019-06-07 00:00:00+00:00,London Westminster,no2,23.0,µg/m³
+London,GB,2019-06-06 23:00:00+00:00,London Westminster,no2,21.0,µg/m³
+London,GB,2019-06-06 22:00:00+00:00,London Westminster,no2,21.0,µg/m³
+London,GB,2019-06-06 21:00:00+00:00,London Westminster,no2,24.0,µg/m³
+London,GB,2019-06-06 20:00:00+00:00,London Westminster,no2,22.0,µg/m³
+London,GB,2019-06-06 19:00:00+00:00,London Westminster,no2,24.0,µg/m³
+London,GB,2019-06-06 18:00:00+00:00,London Westminster,no2,24.0,µg/m³
+London,GB,2019-06-06 17:00:00+00:00,London Westminster,no2,24.0,µg/m³
+London,GB,2019-06-06 16:00:00+00:00,London Westminster,no2,22.0,µg/m³
+London,GB,2019-06-06 15:00:00+00:00,London Westminster,no2,16.0,µg/m³
+London,GB,2019-06-06 14:00:00+00:00,London Westminster,no2,11.0,µg/m³
+London,GB,2019-06-06 13:00:00+00:00,London Westminster,no2,10.0,µg/m³
+London,GB,2019-06-06 12:00:00+00:00,London Westminster,no2,12.0,µg/m³
+London,GB,2019-06-06 11:00:00+00:00,London Westminster,no2,7.0,µg/m³
+London,GB,2019-06-06 10:00:00+00:00,London Westminster,no2,7.0,µg/m³
+London,GB,2019-06-06 09:00:00+00:00,London Westminster,no2,1.0,µg/m³
+London,GB,2019-06-06 08:00:00+00:00,London Westminster,no2,0.0,µg/m³
+London,GB,2019-06-06 07:00:00+00:00,London Westminster,no2,3.0,µg/m³
+London,GB,2019-06-06 06:00:00+00:00,London Westminster,no2,1.0,µg/m³
+London,GB,2019-06-06 05:00:00+00:00,London Westminster,no2,0.0,µg/m³
+London,GB,2019-06-06 04:00:00+00:00,London Westminster,no2,0.0,µg/m³
+London,GB,2019-06-06 03:00:00+00:00,London Westminster,no2,4.0,µg/m³
+London,GB,2019-06-06 02:00:00+00:00,London Westminster,no2,4.0,µg/m³
+London,GB,2019-06-06 00:00:00+00:00,London Westminster,no2,8.0,µg/m³
+London,GB,2019-06-05 23:00:00+00:00,London Westminster,no2,17.0,µg/m³
+London,GB,2019-06-05 22:00:00+00:00,London Westminster,no2,17.0,µg/m³
+London,GB,2019-06-05 21:00:00+00:00,London Westminster,no2,19.0,µg/m³
+London,GB,2019-06-05 20:00:00+00:00,London Westminster,no2,19.0,µg/m³
+London,GB,2019-06-05 19:00:00+00:00,London Westminster,no2,19.0,µg/m³
+London,GB,2019-06-05 18:00:00+00:00,London Westminster,no2,19.0,µg/m³
+London,GB,2019-06-05 17:00:00+00:00,London Westminster,no2,19.0,µg/m³
+London,GB,2019-06-05 16:00:00+00:00,London Westminster,no2,19.0,µg/m³
+London,GB,2019-06-05 15:00:00+00:00,London Westminster,no2,20.0,µg/m³
+London,GB,2019-06-05 14:00:00+00:00,London Westminster,no2,20.0,µg/m³
+London,GB,2019-06-05 13:00:00+00:00,London Westminster,no2,14.0,µg/m³
+London,GB,2019-06-05 12:00:00+00:00,London Westminster,no2,9.0,µg/m³
+London,GB,2019-06-05 11:00:00+00:00,London Westminster,no2,7.0,µg/m³
+London,GB,2019-06-05 10:00:00+00:00,London Westminster,no2,5.0,µg/m³
+London,GB,2019-06-05 09:00:00+00:00,London Westminster,no2,0.0,µg/m³
+London,GB,2019-06-05 08:00:00+00:00,London Westminster,no2,0.0,µg/m³
+London,GB,2019-06-05 07:00:00+00:00,London Westminster,no2,1.0,µg/m³
+London,GB,2019-06-05 06:00:00+00:00,London Westminster,no2,2.0,µg/m³
+London,GB,2019-06-05 05:00:00+00:00,London Westminster,no2,6.0,µg/m³
+London,GB,2019-06-05 04:00:00+00:00,London Westminster,no2,6.0,µg/m³
+London,GB,2019-06-05 03:00:00+00:00,London Westminster,no2,4.0,µg/m³
+London,GB,2019-06-05 02:00:00+00:00,London Westminster,no2,4.0,µg/m³
+London,GB,2019-06-05 01:00:00+00:00,London Westminster,no2,13.0,µg/m³
+London,GB,2019-06-05 00:00:00+00:00,London Westminster,no2,13.0,µg/m³
+London,GB,2019-06-04 23:00:00+00:00,London Westminster,no2,17.0,µg/m³
+London,GB,2019-06-04 22:00:00+00:00,London Westminster,no2,17.0,µg/m³
+London,GB,2019-06-04 21:00:00+00:00,London Westminster,no2,17.0,µg/m³
+London,GB,2019-06-04 20:00:00+00:00,London Westminster,no2,18.0,µg/m³
+London,GB,2019-06-04 19:00:00+00:00,London Westminster,no2,20.0,µg/m³
+London,GB,2019-06-04 18:00:00+00:00,London Westminster,no2,29.0,µg/m³
+London,GB,2019-06-04 17:00:00+00:00,London Westminster,no2,40.0,µg/m³
+London,GB,2019-06-04 16:00:00+00:00,London Westminster,no2,38.0,µg/m³
+London,GB,2019-06-04 15:00:00+00:00,London Westminster,no2,38.0,µg/m³
+London,GB,2019-06-04 14:00:00+00:00,London Westminster,no2,36.0,µg/m³
+London,GB,2019-06-04 13:00:00+00:00,London Westminster,no2,37.0,µg/m³
+London,GB,2019-06-04 12:00:00+00:00,London Westminster,no2,35.0,µg/m³
+London,GB,2019-06-04 11:00:00+00:00,London Westminster,no2,32.0,µg/m³
+London,GB,2019-06-04 10:00:00+00:00,London Westminster,no2,31.0,µg/m³
+London,GB,2019-06-04 09:00:00+00:00,London Westminster,no2,35.0,µg/m³
+London,GB,2019-06-04 08:00:00+00:00,London Westminster,no2,22.0,µg/m³
+London,GB,2019-06-04 07:00:00+00:00,London Westminster,no2,18.0,µg/m³
+London,GB,2019-06-04 06:00:00+00:00,London Westminster,no2,14.0,µg/m³
+London,GB,2019-06-04 05:00:00+00:00,London Westminster,no2,5.0,µg/m³
+London,GB,2019-06-04 04:00:00+00:00,London Westminster,no2,5.0,µg/m³
+London,GB,2019-06-04 03:00:00+00:00,London Westminster,no2,8.0,µg/m³
+London,GB,2019-06-04 02:00:00+00:00,London Westminster,no2,8.0,µg/m³
+London,GB,2019-06-04 01:00:00+00:00,London Westminster,no2,12.0,µg/m³
+London,GB,2019-06-04 00:00:00+00:00,London Westminster,no2,12.0,µg/m³
+London,GB,2019-06-03 23:00:00+00:00,London Westminster,no2,17.0,µg/m³
+London,GB,2019-06-03 22:00:00+00:00,London Westminster,no2,17.0,µg/m³
+London,GB,2019-06-03 21:00:00+00:00,London Westminster,no2,20.0,µg/m³
+London,GB,2019-06-03 20:00:00+00:00,London Westminster,no2,20.0,µg/m³
+London,GB,2019-06-03 19:00:00+00:00,London Westminster,no2,23.0,µg/m³
+London,GB,2019-06-03 18:00:00+00:00,London Westminster,no2,24.0,µg/m³
+London,GB,2019-06-03 17:00:00+00:00,London Westminster,no2,24.0,µg/m³
+London,GB,2019-06-03 16:00:00+00:00,London Westminster,no2,22.0,µg/m³
+London,GB,2019-06-03 15:00:00+00:00,London Westminster,no2,21.0,µg/m³
+London,GB,2019-06-03 14:00:00+00:00,London Westminster,no2,17.0,µg/m³
+London,GB,2019-06-03 13:00:00+00:00,London Westminster,no2,15.0,µg/m³
+London,GB,2019-06-03 12:00:00+00:00,London Westminster,no2,14.0,µg/m³
+London,GB,2019-06-03 11:00:00+00:00,London Westminster,no2,16.0,µg/m³
+London,GB,2019-06-03 10:00:00+00:00,London Westminster,no2,11.0,µg/m³
+London,GB,2019-06-03 09:00:00+00:00,London Westminster,no2,5.0,µg/m³
+London,GB,2019-06-03 08:00:00+00:00,London Westminster,no2,7.0,µg/m³
+London,GB,2019-06-03 07:00:00+00:00,London Westminster,no2,6.0,µg/m³
+London,GB,2019-06-03 06:00:00+00:00,London Westminster,no2,5.0,µg/m³
+London,GB,2019-06-03 05:00:00+00:00,London Westminster,no2,3.0,µg/m³
+London,GB,2019-06-03 04:00:00+00:00,London Westminster,no2,3.0,µg/m³
+London,GB,2019-06-03 03:00:00+00:00,London Westminster,no2,11.0,µg/m³
+London,GB,2019-06-03 02:00:00+00:00,London Westminster,no2,11.0,µg/m³
+London,GB,2019-06-03 01:00:00+00:00,London Westminster,no2,21.0,µg/m³
+London,GB,2019-06-03 00:00:00+00:00,London Westminster,no2,21.0,µg/m³
+London,GB,2019-06-02 23:00:00+00:00,London Westminster,no2,27.0,µg/m³
+London,GB,2019-06-02 22:00:00+00:00,London Westminster,no2,27.0,µg/m³
+London,GB,2019-06-02 21:00:00+00:00,London Westminster,no2,28.0,µg/m³
+London,GB,2019-06-02 20:00:00+00:00,London Westminster,no2,32.0,µg/m³
+London,GB,2019-06-02 19:00:00+00:00,London Westminster,no2,34.0,µg/m³
+London,GB,2019-06-02 18:00:00+00:00,London Westminster,no2,34.0,µg/m³
+London,GB,2019-06-02 17:00:00+00:00,London Westminster,no2,32.0,µg/m³
+London,GB,2019-06-02 16:00:00+00:00,London Westminster,no2,32.0,µg/m³
+London,GB,2019-06-02 15:00:00+00:00,London Westminster,no2,33.0,µg/m³
+London,GB,2019-06-02 14:00:00+00:00,London Westminster,no2,36.0,µg/m³
+London,GB,2019-06-02 13:00:00+00:00,London Westminster,no2,34.0,µg/m³
+London,GB,2019-06-02 12:00:00+00:00,London Westminster,no2,35.0,µg/m³
+London,GB,2019-06-02 11:00:00+00:00,London Westminster,no2,36.0,µg/m³
+London,GB,2019-06-02 10:00:00+00:00,London Westminster,no2,35.0,µg/m³
+London,GB,2019-06-02 09:00:00+00:00,London Westminster,no2,32.0,µg/m³
+London,GB,2019-06-02 08:00:00+00:00,London Westminster,no2,30.0,µg/m³
+London,GB,2019-06-02 07:00:00+00:00,London Westminster,no2,32.0,µg/m³
+London,GB,2019-06-02 06:00:00+00:00,London Westminster,no2,32.0,µg/m³
+London,GB,2019-06-02 05:00:00+00:00,London Westminster,no2,37.0,µg/m³
+London,GB,2019-06-02 04:00:00+00:00,London Westminster,no2,37.0,µg/m³
+London,GB,2019-06-02 03:00:00+00:00,London Westminster,no2,43.0,µg/m³
+London,GB,2019-06-02 02:00:00+00:00,London Westminster,no2,43.0,µg/m³
+London,GB,2019-06-02 01:00:00+00:00,London Westminster,no2,44.0,µg/m³
+London,GB,2019-06-02 00:00:00+00:00,London Westminster,no2,44.0,µg/m³
+London,GB,2019-06-01 23:00:00+00:00,London Westminster,no2,52.0,µg/m³
+London,GB,2019-06-01 22:00:00+00:00,London Westminster,no2,52.0,µg/m³
+London,GB,2019-06-01 21:00:00+00:00,London Westminster,no2,44.0,µg/m³
+London,GB,2019-06-01 20:00:00+00:00,London Westminster,no2,41.0,µg/m³
+London,GB,2019-06-01 19:00:00+00:00,London Westminster,no2,38.0,µg/m³
+London,GB,2019-06-01 18:00:00+00:00,London Westminster,no2,36.0,µg/m³
+London,GB,2019-06-01 17:00:00+00:00,London Westminster,no2,32.0,µg/m³
+London,GB,2019-06-01 16:00:00+00:00,London Westminster,no2,31.0,µg/m³
+London,GB,2019-06-01 15:00:00+00:00,London Westminster,no2,33.0,µg/m³
+London,GB,2019-06-01 14:00:00+00:00,London Westminster,no2,36.0,µg/m³
+London,GB,2019-06-01 13:00:00+00:00,London Westminster,no2,33.0,µg/m³
+London,GB,2019-06-01 12:00:00+00:00,London Westminster,no2,28.0,µg/m³
+London,GB,2019-06-01 11:00:00+00:00,London Westminster,no2,19.0,µg/m³
+London,GB,2019-06-01 10:00:00+00:00,London Westminster,no2,12.0,µg/m³
+London,GB,2019-06-01 09:00:00+00:00,London Westminster,no2,9.0,µg/m³
+London,GB,2019-06-01 08:00:00+00:00,London Westminster,no2,8.0,µg/m³
+London,GB,2019-06-01 07:00:00+00:00,London Westminster,no2,2.0,µg/m³
+London,GB,2019-06-01 06:00:00+00:00,London Westminster,no2,4.0,µg/m³
+London,GB,2019-06-01 05:00:00+00:00,London Westminster,no2,11.0,µg/m³
+London,GB,2019-06-01 04:00:00+00:00,London Westminster,no2,11.0,µg/m³
+London,GB,2019-06-01 03:00:00+00:00,London Westminster,no2,16.0,µg/m³
+London,GB,2019-06-01 02:00:00+00:00,London Westminster,no2,16.0,µg/m³
+London,GB,2019-06-01 01:00:00+00:00,London Westminster,no2,22.0,µg/m³
+London,GB,2019-06-01 00:00:00+00:00,London Westminster,no2,22.0,µg/m³
+London,GB,2019-05-31 23:00:00+00:00,London Westminster,no2,26.0,µg/m³
+London,GB,2019-05-31 22:00:00+00:00,London Westminster,no2,26.0,µg/m³
+London,GB,2019-05-31 21:00:00+00:00,London Westminster,no2,31.0,µg/m³
+London,GB,2019-05-31 20:00:00+00:00,London Westminster,no2,33.0,µg/m³
+London,GB,2019-05-31 19:00:00+00:00,London Westminster,no2,33.0,µg/m³
+London,GB,2019-05-31 18:00:00+00:00,London Westminster,no2,29.0,µg/m³
+London,GB,2019-05-31 17:00:00+00:00,London Westminster,no2,26.0,µg/m³
+London,GB,2019-05-31 16:00:00+00:00,London Westminster,no2,26.0,µg/m³
+London,GB,2019-05-31 15:00:00+00:00,London Westminster,no2,24.0,µg/m³
+London,GB,2019-05-31 14:00:00+00:00,London Westminster,no2,21.0,µg/m³
+London,GB,2019-05-31 13:00:00+00:00,London Westminster,no2,21.0,µg/m³
+London,GB,2019-05-31 12:00:00+00:00,London Westminster,no2,18.0,µg/m³
+London,GB,2019-05-31 11:00:00+00:00,London Westminster,no2,16.0,µg/m³
+London,GB,2019-05-31 10:00:00+00:00,London Westminster,no2,15.0,µg/m³
+London,GB,2019-05-31 09:00:00+00:00,London Westminster,no2,37.0,µg/m³
+London,GB,2019-05-31 08:00:00+00:00,London Westminster,no2,8.0,µg/m³
+London,GB,2019-05-31 07:00:00+00:00,London Westminster,no2,9.0,µg/m³
+London,GB,2019-05-31 06:00:00+00:00,London Westminster,no2,8.0,µg/m³
+London,GB,2019-05-31 05:00:00+00:00,London Westminster,no2,9.0,µg/m³
+London,GB,2019-05-31 04:00:00+00:00,London Westminster,no2,9.0,µg/m³
+London,GB,2019-05-31 03:00:00+00:00,London Westminster,no2,12.0,µg/m³
+London,GB,2019-05-31 02:00:00+00:00,London Westminster,no2,12.0,µg/m³
+London,GB,2019-05-31 01:00:00+00:00,London Westminster,no2,18.0,µg/m³
+London,GB,2019-05-31 00:00:00+00:00,London Westminster,no2,18.0,µg/m³
+London,GB,2019-05-30 23:00:00+00:00,London Westminster,no2,23.0,µg/m³
+London,GB,2019-05-30 22:00:00+00:00,London Westminster,no2,23.0,µg/m³
+London,GB,2019-05-30 21:00:00+00:00,London Westminster,no2,27.0,µg/m³
+London,GB,2019-05-30 20:00:00+00:00,London Westminster,no2,27.0,µg/m³
+London,GB,2019-05-30 19:00:00+00:00,London Westminster,no2,28.0,µg/m³
+London,GB,2019-05-30 18:00:00+00:00,London Westminster,no2,28.0,µg/m³
+London,GB,2019-05-30 17:00:00+00:00,London Westminster,no2,30.0,µg/m³
+London,GB,2019-05-30 16:00:00+00:00,London Westminster,no2,27.0,µg/m³
+London,GB,2019-05-30 15:00:00+00:00,London Westminster,no2,22.0,µg/m³
+London,GB,2019-05-30 14:00:00+00:00,London Westminster,no2,22.0,µg/m³
+London,GB,2019-05-30 13:00:00+00:00,London Westminster,no2,20.0,µg/m³
+London,GB,2019-05-30 12:00:00+00:00,London Westminster,no2,17.0,µg/m³
+London,GB,2019-05-30 11:00:00+00:00,London Westminster,no2,13.0,µg/m³
+London,GB,2019-05-30 10:00:00+00:00,London Westminster,no2,9.0,µg/m³
+London,GB,2019-05-30 09:00:00+00:00,London Westminster,no2,5.0,µg/m³
+London,GB,2019-05-30 08:00:00+00:00,London Westminster,no2,3.0,µg/m³
+London,GB,2019-05-30 07:00:00+00:00,London Westminster,no2,2.0,µg/m³
+London,GB,2019-05-30 06:00:00+00:00,London Westminster,no2,0.0,µg/m³
+London,GB,2019-05-30 05:00:00+00:00,London Westminster,no2,0.0,µg/m³
+London,GB,2019-05-30 04:00:00+00:00,London Westminster,no2,0.0,µg/m³
+London,GB,2019-05-30 03:00:00+00:00,London Westminster,no2,0.0,µg/m³
+London,GB,2019-05-30 02:00:00+00:00,London Westminster,no2,0.0,µg/m³
+London,GB,2019-05-30 01:00:00+00:00,London Westminster,no2,1.0,µg/m³
+London,GB,2019-05-30 00:00:00+00:00,London Westminster,no2,1.0,µg/m³
+London,GB,2019-05-29 23:00:00+00:00,London Westminster,no2,5.0,µg/m³
+London,GB,2019-05-29 22:00:00+00:00,London Westminster,no2,5.0,µg/m³
+London,GB,2019-05-29 21:00:00+00:00,London Westminster,no2,6.0,µg/m³
+London,GB,2019-05-29 20:00:00+00:00,London Westminster,no2,6.0,µg/m³
+London,GB,2019-05-29 19:00:00+00:00,London Westminster,no2,5.0,µg/m³
+London,GB,2019-05-29 18:00:00+00:00,London Westminster,no2,5.0,µg/m³
+London,GB,2019-05-29 17:00:00+00:00,London Westminster,no2,5.0,µg/m³
+London,GB,2019-05-29 16:00:00+00:00,London Westminster,no2,3.0,µg/m³
+London,GB,2019-05-29 15:00:00+00:00,London Westminster,no2,5.0,µg/m³
+London,GB,2019-05-29 14:00:00+00:00,London Westminster,no2,15.0,µg/m³
+London,GB,2019-05-29 13:00:00+00:00,London Westminster,no2,13.0,µg/m³
+London,GB,2019-05-29 12:00:00+00:00,London Westminster,no2,20.0,µg/m³
+London,GB,2019-05-29 11:00:00+00:00,London Westminster,no2,18.0,µg/m³
+London,GB,2019-05-29 10:00:00+00:00,London Westminster,no2,18.0,µg/m³
+London,GB,2019-05-29 09:00:00+00:00,London Westminster,no2,18.0,µg/m³
+London,GB,2019-05-29 08:00:00+00:00,London Westminster,no2,21.0,µg/m³
+London,GB,2019-05-29 07:00:00+00:00,London Westminster,no2,22.0,µg/m³
+London,GB,2019-05-29 06:00:00+00:00,London Westminster,no2,24.0,µg/m³
+London,GB,2019-05-29 05:00:00+00:00,London Westminster,no2,21.0,µg/m³
+London,GB,2019-05-29 04:00:00+00:00,London Westminster,no2,21.0,µg/m³
+London,GB,2019-05-29 03:00:00+00:00,London Westminster,no2,23.0,µg/m³
+London,GB,2019-05-29 02:00:00+00:00,London Westminster,no2,23.0,µg/m³
+London,GB,2019-05-29 01:00:00+00:00,London Westminster,no2,26.0,µg/m³
+London,GB,2019-05-29 00:00:00+00:00,London Westminster,no2,26.0,µg/m³
+London,GB,2019-05-28 23:00:00+00:00,London Westminster,no2,25.0,µg/m³
+London,GB,2019-05-28 21:00:00+00:00,London Westminster,no2,31.0,µg/m³
+London,GB,2019-05-28 20:00:00+00:00,London Westminster,no2,29.0,µg/m³
+London,GB,2019-05-28 19:00:00+00:00,London Westminster,no2,29.0,µg/m³
+London,GB,2019-05-28 18:00:00+00:00,London Westminster,no2,29.0,µg/m³
+London,GB,2019-05-28 17:00:00+00:00,London Westminster,no2,25.0,µg/m³
+London,GB,2019-05-28 16:00:00+00:00,London Westminster,no2,27.0,µg/m³
+London,GB,2019-05-28 15:00:00+00:00,London Westminster,no2,30.0,µg/m³
+London,GB,2019-05-28 14:00:00+00:00,London Westminster,no2,29.0,µg/m³
+London,GB,2019-05-28 13:00:00+00:00,London Westminster,no2,27.0,µg/m³
+London,GB,2019-05-28 12:00:00+00:00,London Westminster,no2,28.0,µg/m³
+London,GB,2019-05-28 11:00:00+00:00,London Westminster,no2,21.0,µg/m³
+London,GB,2019-05-28 10:00:00+00:00,London Westminster,no2,21.0,µg/m³
+London,GB,2019-05-28 09:00:00+00:00,London Westminster,no2,20.0,µg/m³
+London,GB,2019-05-28 08:00:00+00:00,London Westminster,no2,20.0,µg/m³
+London,GB,2019-05-28 07:00:00+00:00,London Westminster,no2,20.0,µg/m³
+London,GB,2019-05-28 06:00:00+00:00,London Westminster,no2,19.0,µg/m³
+London,GB,2019-05-28 05:00:00+00:00,London Westminster,no2,15.0,µg/m³
+London,GB,2019-05-28 04:00:00+00:00,London Westminster,no2,15.0,µg/m³
+London,GB,2019-05-28 03:00:00+00:00,London Westminster,no2,16.0,µg/m³
+London,GB,2019-05-28 02:00:00+00:00,London Westminster,no2,16.0,µg/m³
+London,GB,2019-05-28 01:00:00+00:00,London Westminster,no2,16.0,µg/m³
+London,GB,2019-05-28 00:00:00+00:00,London Westminster,no2,16.0,µg/m³
+London,GB,2019-05-27 23:00:00+00:00,London Westminster,no2,19.0,µg/m³
+London,GB,2019-05-27 22:00:00+00:00,London Westminster,no2,19.0,µg/m³
+London,GB,2019-05-27 21:00:00+00:00,London Westminster,no2,20.0,µg/m³
+London,GB,2019-05-27 20:00:00+00:00,London Westminster,no2,23.0,µg/m³
+London,GB,2019-05-27 19:00:00+00:00,London Westminster,no2,22.0,µg/m³
+London,GB,2019-05-27 18:00:00+00:00,London Westminster,no2,22.0,µg/m³
+London,GB,2019-05-27 17:00:00+00:00,London Westminster,no2,22.0,µg/m³
+London,GB,2019-05-27 16:00:00+00:00,London Westminster,no2,22.0,µg/m³
+London,GB,2019-05-27 15:00:00+00:00,London Westminster,no2,22.0,µg/m³
+London,GB,2019-05-27 14:00:00+00:00,London Westminster,no2,20.0,µg/m³
+London,GB,2019-05-27 13:00:00+00:00,London Westminster,no2,20.0,µg/m³
+London,GB,2019-05-27 12:00:00+00:00,London Westminster,no2,17.0,µg/m³
+London,GB,2019-05-27 11:00:00+00:00,London Westminster,no2,17.0,µg/m³
+London,GB,2019-05-27 10:00:00+00:00,London Westminster,no2,16.0,µg/m³
+London,GB,2019-05-27 09:00:00+00:00,London Westminster,no2,18.0,µg/m³
+London,GB,2019-05-27 08:00:00+00:00,London Westminster,no2,18.0,µg/m³
+London,GB,2019-05-27 07:00:00+00:00,London Westminster,no2,18.0,µg/m³
+London,GB,2019-05-27 06:00:00+00:00,London Westminster,no2,18.0,µg/m³
+London,GB,2019-05-27 05:00:00+00:00,London Westminster,no2,19.0,µg/m³
+London,GB,2019-05-27 04:00:00+00:00,London Westminster,no2,19.0,µg/m³
+London,GB,2019-05-27 03:00:00+00:00,London Westminster,no2,24.0,µg/m³
+London,GB,2019-05-27 02:00:00+00:00,London Westminster,no2,24.0,µg/m³
+London,GB,2019-05-27 01:00:00+00:00,London Westminster,no2,26.0,µg/m³
+London,GB,2019-05-27 00:00:00+00:00,London Westminster,no2,26.0,µg/m³
+London,GB,2019-05-26 23:00:00+00:00,London Westminster,no2,26.0,µg/m³
+London,GB,2019-05-26 22:00:00+00:00,London Westminster,no2,26.0,µg/m³
+London,GB,2019-05-26 21:00:00+00:00,London Westminster,no2,27.0,µg/m³
+London,GB,2019-05-26 20:00:00+00:00,London Westminster,no2,25.0,µg/m³
+London,GB,2019-05-26 19:00:00+00:00,London Westminster,no2,26.0,µg/m³
+London,GB,2019-05-26 18:00:00+00:00,London Westminster,no2,28.0,µg/m³
+London,GB,2019-05-26 17:00:00+00:00,London Westminster,no2,26.0,µg/m³
+London,GB,2019-05-26 16:00:00+00:00,London Westminster,no2,27.0,µg/m³
+London,GB,2019-05-26 15:00:00+00:00,London Westminster,no2,26.0,µg/m³
+London,GB,2019-05-26 14:00:00+00:00,London Westminster,no2,25.0,µg/m³
+London,GB,2019-05-26 13:00:00+00:00,London Westminster,no2,24.0,µg/m³
+London,GB,2019-05-26 12:00:00+00:00,London Westminster,no2,21.0,µg/m³
+London,GB,2019-05-26 11:00:00+00:00,London Westminster,no2,17.0,µg/m³
+London,GB,2019-05-26 10:00:00+00:00,London Westminster,no2,16.0,µg/m³
+London,GB,2019-05-26 09:00:00+00:00,London Westminster,no2,15.0,µg/m³
+London,GB,2019-05-26 08:00:00+00:00,London Westminster,no2,15.0,µg/m³
+London,GB,2019-05-26 07:00:00+00:00,London Westminster,no2,17.0,µg/m³
+London,GB,2019-05-26 06:00:00+00:00,London Westminster,no2,17.0,µg/m³
+London,GB,2019-05-26 05:00:00+00:00,London Westminster,no2,20.0,µg/m³
+London,GB,2019-05-26 04:00:00+00:00,London Westminster,no2,20.0,µg/m³
+London,GB,2019-05-26 03:00:00+00:00,London Westminster,no2,26.0,µg/m³
+London,GB,2019-05-26 02:00:00+00:00,London Westminster,no2,26.0,µg/m³
+London,GB,2019-05-26 01:00:00+00:00,London Westminster,no2,32.0,µg/m³
+London,GB,2019-05-26 00:00:00+00:00,London Westminster,no2,32.0,µg/m³
+London,GB,2019-05-25 23:00:00+00:00,London Westminster,no2,36.0,µg/m³
+London,GB,2019-05-25 22:00:00+00:00,London Westminster,no2,36.0,µg/m³
+London,GB,2019-05-25 21:00:00+00:00,London Westminster,no2,41.0,µg/m³
+London,GB,2019-05-25 20:00:00+00:00,London Westminster,no2,44.0,µg/m³
+London,GB,2019-05-25 19:00:00+00:00,London Westminster,no2,47.0,µg/m³
+London,GB,2019-05-25 18:00:00+00:00,London Westminster,no2,47.0,µg/m³
+London,GB,2019-05-25 17:00:00+00:00,London Westminster,no2,46.0,µg/m³
+London,GB,2019-05-25 16:00:00+00:00,London Westminster,no2,42.0,µg/m³
+London,GB,2019-05-25 15:00:00+00:00,London Westminster,no2,37.0,µg/m³
+London,GB,2019-05-25 14:00:00+00:00,London Westminster,no2,31.0,µg/m³
+London,GB,2019-05-25 13:00:00+00:00,London Westminster,no2,26.0,µg/m³
+London,GB,2019-05-25 12:00:00+00:00,London Westminster,no2,24.0,µg/m³
+London,GB,2019-05-25 11:00:00+00:00,London Westminster,no2,23.0,µg/m³
+London,GB,2019-05-25 10:00:00+00:00,London Westminster,no2,21.0,µg/m³
+London,GB,2019-05-25 09:00:00+00:00,London Westminster,no2,23.0,µg/m³
+London,GB,2019-05-25 08:00:00+00:00,London Westminster,no2,23.0,µg/m³
+London,GB,2019-05-25 07:00:00+00:00,London Westminster,no2,22.0,µg/m³
+London,GB,2019-05-25 06:00:00+00:00,London Westminster,no2,22.0,µg/m³
+London,GB,2019-05-25 05:00:00+00:00,London Westminster,no2,21.0,µg/m³
+London,GB,2019-05-25 04:00:00+00:00,London Westminster,no2,21.0,µg/m³
+London,GB,2019-05-25 03:00:00+00:00,London Westminster,no2,25.0,µg/m³
+London,GB,2019-05-25 02:00:00+00:00,London Westminster,no2,25.0,µg/m³
+London,GB,2019-05-25 01:00:00+00:00,London Westminster,no2,32.0,µg/m³
+London,GB,2019-05-25 00:00:00+00:00,London Westminster,no2,32.0,µg/m³
+London,GB,2019-05-24 23:00:00+00:00,London Westminster,no2,39.0,µg/m³
+London,GB,2019-05-24 22:00:00+00:00,London Westminster,no2,39.0,µg/m³
+London,GB,2019-05-24 21:00:00+00:00,London Westminster,no2,38.0,µg/m³
+London,GB,2019-05-24 20:00:00+00:00,London Westminster,no2,42.0,µg/m³
+London,GB,2019-05-24 19:00:00+00:00,London Westminster,no2,44.0,µg/m³
+London,GB,2019-05-24 18:00:00+00:00,London Westminster,no2,46.0,µg/m³
+London,GB,2019-05-24 17:00:00+00:00,London Westminster,no2,46.0,µg/m³
+London,GB,2019-05-24 16:00:00+00:00,London Westminster,no2,43.0,µg/m³
+London,GB,2019-05-24 15:00:00+00:00,London Westminster,no2,40.0,µg/m³
+London,GB,2019-05-24 14:00:00+00:00,London Westminster,no2,39.0,µg/m³
+London,GB,2019-05-24 13:00:00+00:00,London Westminster,no2,33.0,µg/m³
+London,GB,2019-05-24 12:00:00+00:00,London Westminster,no2,29.0,µg/m³
+London,GB,2019-05-24 11:00:00+00:00,London Westminster,no2,26.0,µg/m³
+London,GB,2019-05-24 10:00:00+00:00,London Westminster,no2,23.0,µg/m³
+London,GB,2019-05-24 09:00:00+00:00,London Westminster,no2,24.0,µg/m³
+London,GB,2019-05-24 08:00:00+00:00,London Westminster,no2,26.0,µg/m³
+London,GB,2019-05-24 07:00:00+00:00,London Westminster,no2,28.0,µg/m³
+London,GB,2019-05-24 06:00:00+00:00,London Westminster,no2,29.0,µg/m³
+London,GB,2019-05-24 05:00:00+00:00,London Westminster,no2,23.0,µg/m³
+London,GB,2019-05-24 04:00:00+00:00,London Westminster,no2,23.0,µg/m³
+London,GB,2019-05-24 03:00:00+00:00,London Westminster,no2,31.0,µg/m³
+London,GB,2019-05-24 02:00:00+00:00,London Westminster,no2,31.0,µg/m³
+London,GB,2019-05-24 00:00:00+00:00,London Westminster,no2,31.0,µg/m³
+London,GB,2019-05-23 23:00:00+00:00,London Westminster,no2,39.0,µg/m³
+London,GB,2019-05-23 22:00:00+00:00,London Westminster,no2,39.0,µg/m³
+London,GB,2019-05-23 21:00:00+00:00,London Westminster,no2,44.0,µg/m³
+London,GB,2019-05-23 20:00:00+00:00,London Westminster,no2,45.0,µg/m³
+London,GB,2019-05-23 19:00:00+00:00,London Westminster,no2,51.0,µg/m³
+London,GB,2019-05-23 18:00:00+00:00,London Westminster,no2,54.0,µg/m³
+London,GB,2019-05-23 17:00:00+00:00,London Westminster,no2,60.0,µg/m³
+London,GB,2019-05-23 16:00:00+00:00,London Westminster,no2,53.0,µg/m³
+London,GB,2019-05-23 15:00:00+00:00,London Westminster,no2,38.0,µg/m³
+London,GB,2019-05-23 14:00:00+00:00,London Westminster,no2,34.0,µg/m³
+London,GB,2019-05-23 13:00:00+00:00,London Westminster,no2,28.0,µg/m³
+London,GB,2019-05-23 12:00:00+00:00,London Westminster,no2,25.0,µg/m³
+London,GB,2019-05-23 11:00:00+00:00,London Westminster,no2,24.0,µg/m³
+London,GB,2019-05-23 10:00:00+00:00,London Westminster,no2,25.0,µg/m³
+London,GB,2019-05-23 09:00:00+00:00,London Westminster,no2,23.0,µg/m³
+London,GB,2019-05-23 08:00:00+00:00,London Westminster,no2,25.0,µg/m³
+London,GB,2019-05-23 07:00:00+00:00,London Westminster,no2,26.0,µg/m³
+London,GB,2019-05-23 06:00:00+00:00,London Westminster,no2,24.0,µg/m³
+London,GB,2019-05-23 05:00:00+00:00,London Westminster,no2,19.0,µg/m³
+London,GB,2019-05-23 04:00:00+00:00,London Westminster,no2,19.0,µg/m³
+London,GB,2019-05-23 03:00:00+00:00,London Westminster,no2,20.0,µg/m³
+London,GB,2019-05-23 02:00:00+00:00,London Westminster,no2,20.0,µg/m³
+London,GB,2019-05-23 01:00:00+00:00,London Westminster,no2,23.0,µg/m³
+London,GB,2019-05-23 00:00:00+00:00,London Westminster,no2,23.0,µg/m³
+London,GB,2019-05-22 23:00:00+00:00,London Westminster,no2,32.0,µg/m³
+London,GB,2019-05-22 22:00:00+00:00,London Westminster,no2,32.0,µg/m³
+London,GB,2019-05-22 21:00:00+00:00,London Westminster,no2,31.0,µg/m³
+London,GB,2019-05-22 20:00:00+00:00,London Westminster,no2,33.0,µg/m³
+London,GB,2019-05-22 19:00:00+00:00,London Westminster,no2,33.0,µg/m³
+London,GB,2019-05-22 18:00:00+00:00,London Westminster,no2,34.0,µg/m³
+London,GB,2019-05-22 17:00:00+00:00,London Westminster,no2,34.0,µg/m³
+London,GB,2019-05-22 16:00:00+00:00,London Westminster,no2,32.0,µg/m³
+London,GB,2019-05-22 15:00:00+00:00,London Westminster,no2,30.0,µg/m³
+London,GB,2019-05-22 14:00:00+00:00,London Westminster,no2,28.0,µg/m³
+London,GB,2019-05-22 13:00:00+00:00,London Westminster,no2,25.0,µg/m³
+London,GB,2019-05-22 12:00:00+00:00,London Westminster,no2,25.0,µg/m³
+London,GB,2019-05-22 11:00:00+00:00,London Westminster,no2,28.0,µg/m³
+London,GB,2019-05-22 10:00:00+00:00,London Westminster,no2,31.0,µg/m³
+London,GB,2019-05-22 09:00:00+00:00,London Westminster,no2,31.0,µg/m³
+London,GB,2019-05-22 08:00:00+00:00,London Westminster,no2,31.0,µg/m³
+London,GB,2019-05-22 07:00:00+00:00,London Westminster,no2,29.0,µg/m³
+London,GB,2019-05-22 06:00:00+00:00,London Westminster,no2,28.0,µg/m³
+London,GB,2019-05-22 05:00:00+00:00,London Westminster,no2,21.0,µg/m³
+London,GB,2019-05-22 04:00:00+00:00,London Westminster,no2,21.0,µg/m³
+London,GB,2019-05-22 03:00:00+00:00,London Westminster,no2,27.0,µg/m³
+London,GB,2019-05-22 02:00:00+00:00,London Westminster,no2,27.0,µg/m³
+London,GB,2019-05-22 01:00:00+00:00,London Westminster,no2,30.0,µg/m³
+London,GB,2019-05-22 00:00:00+00:00,London Westminster,no2,30.0,µg/m³
+London,GB,2019-05-21 23:00:00+00:00,London Westminster,no2,33.0,µg/m³
+London,GB,2019-05-21 22:00:00+00:00,London Westminster,no2,33.0,µg/m³
+London,GB,2019-05-21 21:00:00+00:00,London Westminster,no2,33.0,µg/m³
+London,GB,2019-05-21 20:00:00+00:00,London Westminster,no2,38.0,µg/m³
+London,GB,2019-05-21 19:00:00+00:00,London Westminster,no2,40.0,µg/m³
+London,GB,2019-05-21 18:00:00+00:00,London Westminster,no2,35.0,µg/m³
+London,GB,2019-05-21 17:00:00+00:00,London Westminster,no2,37.0,µg/m³
+London,GB,2019-05-21 16:00:00+00:00,London Westminster,no2,34.0,µg/m³
+London,GB,2019-05-21 15:00:00+00:00,London Westminster,no2,34.0,µg/m³
+London,GB,2019-05-21 14:00:00+00:00,London Westminster,no2,33.0,µg/m³
+London,GB,2019-05-21 13:00:00+00:00,London Westminster,no2,28.0,µg/m³
+London,GB,2019-05-21 12:00:00+00:00,London Westminster,no2,26.0,µg/m³
+London,GB,2019-05-21 11:00:00+00:00,London Westminster,no2,26.0,µg/m³
+London,GB,2019-05-21 10:00:00+00:00,London Westminster,no2,29.0,µg/m³
+London,GB,2019-05-21 09:00:00+00:00,London Westminster,no2,29.0,µg/m³
+London,GB,2019-05-21 08:00:00+00:00,London Westminster,no2,28.0,µg/m³
+London,GB,2019-05-21 07:00:00+00:00,London Westminster,no2,27.0,µg/m³
+London,GB,2019-05-21 06:00:00+00:00,London Westminster,no2,30.0,µg/m³
+London,GB,2019-05-21 05:00:00+00:00,London Westminster,no2,23.0,µg/m³
+London,GB,2019-05-21 04:00:00+00:00,London Westminster,no2,23.0,µg/m³
+London,GB,2019-05-21 03:00:00+00:00,London Westminster,no2,26.0,µg/m³
+London,GB,2019-05-21 02:00:00+00:00,London Westminster,no2,26.0,µg/m³
+London,GB,2019-05-21 01:00:00+00:00,London Westminster,no2,35.0,µg/m³
+London,GB,2019-05-21 00:00:00+00:00,London Westminster,no2,35.0,µg/m³
+London,GB,2019-05-20 23:00:00+00:00,London Westminster,no2,47.0,µg/m³
+London,GB,2019-05-20 22:00:00+00:00,London Westminster,no2,47.0,µg/m³
+London,GB,2019-05-20 21:00:00+00:00,London Westminster,no2,34.0,µg/m³
+London,GB,2019-05-20 20:00:00+00:00,London Westminster,no2,32.0,µg/m³
+London,GB,2019-05-20 19:00:00+00:00,London Westminster,no2,32.0,µg/m³
+London,GB,2019-05-20 18:00:00+00:00,London Westminster,no2,33.0,µg/m³
+London,GB,2019-05-20 17:00:00+00:00,London Westminster,no2,30.0,µg/m³
+London,GB,2019-05-20 16:00:00+00:00,London Westminster,no2,29.0,µg/m³
+London,GB,2019-05-20 15:00:00+00:00,London Westminster,no2,32.0,µg/m³
+London,GB,2019-05-20 14:00:00+00:00,London Westminster,no2,32.0,µg/m³
+London,GB,2019-05-20 13:00:00+00:00,London Westminster,no2,29.0,µg/m³
+London,GB,2019-05-20 12:00:00+00:00,London Westminster,no2,28.0,µg/m³
+London,GB,2019-05-20 11:00:00+00:00,London Westminster,no2,28.0,µg/m³
+London,GB,2019-05-20 10:00:00+00:00,London Westminster,no2,28.0,µg/m³
+London,GB,2019-05-20 09:00:00+00:00,London Westminster,no2,29.0,µg/m³
+London,GB,2019-05-20 08:00:00+00:00,London Westminster,no2,29.0,µg/m³
+London,GB,2019-05-20 07:00:00+00:00,London Westminster,no2,31.0,µg/m³
+London,GB,2019-05-20 06:00:00+00:00,London Westminster,no2,31.0,µg/m³
+London,GB,2019-05-20 05:00:00+00:00,London Westminster,no2,26.0,µg/m³
+London,GB,2019-05-20 04:00:00+00:00,London Westminster,no2,26.0,µg/m³
+London,GB,2019-05-20 03:00:00+00:00,London Westminster,no2,32.0,µg/m³
+London,GB,2019-05-20 02:00:00+00:00,London Westminster,no2,32.0,µg/m³
+London,GB,2019-05-20 01:00:00+00:00,London Westminster,no2,28.0,µg/m³
+London,GB,2019-05-20 00:00:00+00:00,London Westminster,no2,28.0,µg/m³
+London,GB,2019-05-19 23:00:00+00:00,London Westminster,no2,32.0,µg/m³
+London,GB,2019-05-19 22:00:00+00:00,London Westminster,no2,32.0,µg/m³
+London,GB,2019-05-19 21:00:00+00:00,London Westminster,no2,32.0,µg/m³
+London,GB,2019-05-19 20:00:00+00:00,London Westminster,no2,32.0,µg/m³
+London,GB,2019-05-19 19:00:00+00:00,London Westminster,no2,30.0,µg/m³
+London,GB,2019-05-19 18:00:00+00:00,London Westminster,no2,29.0,µg/m³
+London,GB,2019-05-19 17:00:00+00:00,London Westminster,no2,27.0,µg/m³
+London,GB,2019-05-19 16:00:00+00:00,London Westminster,no2,28.0,µg/m³
+London,GB,2019-05-19 15:00:00+00:00,London Westminster,no2,29.0,µg/m³
+London,GB,2019-05-19 14:00:00+00:00,London Westminster,no2,31.0,µg/m³
+London,GB,2019-05-19 13:00:00+00:00,London Westminster,no2,27.0,µg/m³
+London,GB,2019-05-19 12:00:00+00:00,London Westminster,no2,25.0,µg/m³
+London,GB,2019-05-19 11:00:00+00:00,London Westminster,no2,28.0,µg/m³
+London,GB,2019-05-19 10:00:00+00:00,London Westminster,no2,27.0,µg/m³
+London,GB,2019-05-19 09:00:00+00:00,London Westminster,no2,30.0,µg/m³
+London,GB,2019-05-19 08:00:00+00:00,London Westminster,no2,33.0,µg/m³
+London,GB,2019-05-19 07:00:00+00:00,London Westminster,no2,36.0,µg/m³
+London,GB,2019-05-19 06:00:00+00:00,London Westminster,no2,38.0,µg/m³
+London,GB,2019-05-19 05:00:00+00:00,London Westminster,no2,49.0,µg/m³
+London,GB,2019-05-19 04:00:00+00:00,London Westminster,no2,49.0,µg/m³
+London,GB,2019-05-19 03:00:00+00:00,London Westminster,no2,49.0,µg/m³
+London,GB,2019-05-19 02:00:00+00:00,London Westminster,no2,49.0,µg/m³
+London,GB,2019-05-19 01:00:00+00:00,London Westminster,no2,49.0,µg/m³
+London,GB,2019-05-19 00:00:00+00:00,London Westminster,no2,49.0,µg/m³
+London,GB,2019-05-18 23:00:00+00:00,London Westminster,no2,46.0,µg/m³
+London,GB,2019-05-18 22:00:00+00:00,London Westminster,no2,46.0,µg/m³
+London,GB,2019-05-18 21:00:00+00:00,London Westminster,no2,41.0,µg/m³
+London,GB,2019-05-18 20:00:00+00:00,London Westminster,no2,35.0,µg/m³
+London,GB,2019-05-18 19:00:00+00:00,London Westminster,no2,36.0,µg/m³
+London,GB,2019-05-18 18:00:00+00:00,London Westminster,no2,42.0,µg/m³
+London,GB,2019-05-18 17:00:00+00:00,London Westminster,no2,42.0,µg/m³
+London,GB,2019-05-18 16:00:00+00:00,London Westminster,no2,30.0,µg/m³
+London,GB,2019-05-18 15:00:00+00:00,London Westminster,no2,28.0,µg/m³
+London,GB,2019-05-18 14:00:00+00:00,London Westminster,no2,27.0,µg/m³
+London,GB,2019-05-18 13:00:00+00:00,London Westminster,no2,29.0,µg/m³
+London,GB,2019-05-18 12:00:00+00:00,London Westminster,no2,38.0,µg/m³
+London,GB,2019-05-18 11:00:00+00:00,London Westminster,no2,34.0,µg/m³
+London,GB,2019-05-18 10:00:00+00:00,London Westminster,no2,35.0,µg/m³
+London,GB,2019-05-18 09:00:00+00:00,London Westminster,no2,32.0,µg/m³
+London,GB,2019-05-18 08:00:00+00:00,London Westminster,no2,35.0,µg/m³
+London,GB,2019-05-18 07:00:00+00:00,London Westminster,no2,29.0,µg/m³
+London,GB,2019-05-18 06:00:00+00:00,London Westminster,no2,27.0,µg/m³
+London,GB,2019-05-18 05:00:00+00:00,London Westminster,no2,29.0,µg/m³
+London,GB,2019-05-18 04:00:00+00:00,London Westminster,no2,29.0,µg/m³
+London,GB,2019-05-18 03:00:00+00:00,London Westminster,no2,31.0,µg/m³
+London,GB,2019-05-18 02:00:00+00:00,London Westminster,no2,31.0,µg/m³
+London,GB,2019-05-18 01:00:00+00:00,London Westminster,no2,31.0,µg/m³
+London,GB,2019-05-18 00:00:00+00:00,London Westminster,no2,31.0,µg/m³
+London,GB,2019-05-17 23:00:00+00:00,London Westminster,no2,35.0,µg/m³
+London,GB,2019-05-17 22:00:00+00:00,London Westminster,no2,35.0,µg/m³
+London,GB,2019-05-17 21:00:00+00:00,London Westminster,no2,36.0,µg/m³
+London,GB,2019-05-17 20:00:00+00:00,London Westminster,no2,36.0,µg/m³
+London,GB,2019-05-17 19:00:00+00:00,London Westminster,no2,36.0,µg/m³
+London,GB,2019-05-17 18:00:00+00:00,London Westminster,no2,31.0,µg/m³
+London,GB,2019-05-17 17:00:00+00:00,London Westminster,no2,29.0,µg/m³
+London,GB,2019-05-17 16:00:00+00:00,London Westminster,no2,30.0,µg/m³
+London,GB,2019-05-17 15:00:00+00:00,London Westminster,no2,32.0,µg/m³
+London,GB,2019-05-17 14:00:00+00:00,London Westminster,no2,31.0,µg/m³
+London,GB,2019-05-17 13:00:00+00:00,London Westminster,no2,29.0,µg/m³
+London,GB,2019-05-17 12:00:00+00:00,London Westminster,no2,30.0,µg/m³
+London,GB,2019-05-17 11:00:00+00:00,London Westminster,no2,30.0,µg/m³
+London,GB,2019-05-17 10:00:00+00:00,London Westminster,no2,30.0,µg/m³
+London,GB,2019-05-17 09:00:00+00:00,London Westminster,no2,29.0,µg/m³
+London,GB,2019-05-17 08:00:00+00:00,London Westminster,no2,27.0,µg/m³
+London,GB,2019-05-17 07:00:00+00:00,London Westminster,no2,27.0,µg/m³
+London,GB,2019-05-17 06:00:00+00:00,London Westminster,no2,25.0,µg/m³
+London,GB,2019-05-17 05:00:00+00:00,London Westminster,no2,21.0,µg/m³
+London,GB,2019-05-17 04:00:00+00:00,London Westminster,no2,21.0,µg/m³
+London,GB,2019-05-17 03:00:00+00:00,London Westminster,no2,21.0,µg/m³
+London,GB,2019-05-17 02:00:00+00:00,London Westminster,no2,21.0,µg/m³
+London,GB,2019-05-17 01:00:00+00:00,London Westminster,no2,23.0,µg/m³
+London,GB,2019-05-17 00:00:00+00:00,London Westminster,no2,23.0,µg/m³
+London,GB,2019-05-16 23:00:00+00:00,London Westminster,no2,25.0,µg/m³
+London,GB,2019-05-16 22:00:00+00:00,London Westminster,no2,25.0,µg/m³
+London,GB,2019-05-16 21:00:00+00:00,London Westminster,no2,25.0,µg/m³
+London,GB,2019-05-16 20:00:00+00:00,London Westminster,no2,26.0,µg/m³
+London,GB,2019-05-16 19:00:00+00:00,London Westminster,no2,27.0,µg/m³
+London,GB,2019-05-16 18:00:00+00:00,London Westminster,no2,25.0,µg/m³
+London,GB,2019-05-16 17:00:00+00:00,London Westminster,no2,30.0,µg/m³
+London,GB,2019-05-16 16:00:00+00:00,London Westminster,no2,29.0,µg/m³
+London,GB,2019-05-16 15:00:00+00:00,London Westminster,no2,26.0,µg/m³
+London,GB,2019-05-16 14:00:00+00:00,London Westminster,no2,27.0,µg/m³
+London,GB,2019-05-16 13:00:00+00:00,London Westminster,no2,27.0,µg/m³
+London,GB,2019-05-16 12:00:00+00:00,London Westminster,no2,30.0,µg/m³
+London,GB,2019-05-16 11:00:00+00:00,London Westminster,no2,33.0,µg/m³
+London,GB,2019-05-16 10:00:00+00:00,London Westminster,no2,31.0,µg/m³
+London,GB,2019-05-16 09:00:00+00:00,London Westminster,no2,32.0,µg/m³
+London,GB,2019-05-16 08:00:00+00:00,London Westminster,no2,33.0,µg/m³
+London,GB,2019-05-16 07:00:00+00:00,London Westminster,no2,34.0,µg/m³
+London,GB,2019-05-16 06:00:00+00:00,London Westminster,no2,33.0,µg/m³
+London,GB,2019-05-16 05:00:00+00:00,London Westminster,no2,26.0,µg/m³
+London,GB,2019-05-16 04:00:00+00:00,London Westminster,no2,26.0,µg/m³
+London,GB,2019-05-16 03:00:00+00:00,London Westminster,no2,28.0,µg/m³
+London,GB,2019-05-16 02:00:00+00:00,London Westminster,no2,28.0,µg/m³
+London,GB,2019-05-16 01:00:00+00:00,London Westminster,no2,33.0,µg/m³
+London,GB,2019-05-16 00:00:00+00:00,London Westminster,no2,33.0,µg/m³
+London,GB,2019-05-15 23:00:00+00:00,London Westminster,no2,33.0,µg/m³
+London,GB,2019-05-15 22:00:00+00:00,London Westminster,no2,33.0,µg/m³
+London,GB,2019-05-15 21:00:00+00:00,London Westminster,no2,32.0,µg/m³
+London,GB,2019-05-15 20:00:00+00:00,London Westminster,no2,31.0,µg/m³
+London,GB,2019-05-15 19:00:00+00:00,London Westminster,no2,33.0,µg/m³
+London,GB,2019-05-15 18:00:00+00:00,London Westminster,no2,35.0,µg/m³
+London,GB,2019-05-15 17:00:00+00:00,London Westminster,no2,33.0,µg/m³
+London,GB,2019-05-15 16:00:00+00:00,London Westminster,no2,38.0,µg/m³
+London,GB,2019-05-15 15:00:00+00:00,London Westminster,no2,38.0,µg/m³
+London,GB,2019-05-15 14:00:00+00:00,London Westminster,no2,30.0,µg/m³
+London,GB,2019-05-15 13:00:00+00:00,London Westminster,no2,31.0,µg/m³
+London,GB,2019-05-15 12:00:00+00:00,London Westminster,no2,30.0,µg/m³
+London,GB,2019-05-15 11:00:00+00:00,London Westminster,no2,35.0,µg/m³
+London,GB,2019-05-15 10:00:00+00:00,London Westminster,no2,36.0,µg/m³
+London,GB,2019-05-15 09:00:00+00:00,London Westminster,no2,35.0,µg/m³
+London,GB,2019-05-15 08:00:00+00:00,London Westminster,no2,34.0,µg/m³
+London,GB,2019-05-15 07:00:00+00:00,London Westminster,no2,33.0,µg/m³
+London,GB,2019-05-15 06:00:00+00:00,London Westminster,no2,33.0,µg/m³
+London,GB,2019-05-15 05:00:00+00:00,London Westminster,no2,25.0,µg/m³
+London,GB,2019-05-15 04:00:00+00:00,London Westminster,no2,25.0,µg/m³
+London,GB,2019-05-15 03:00:00+00:00,London Westminster,no2,22.0,µg/m³
+London,GB,2019-05-15 02:00:00+00:00,London Westminster,no2,22.0,µg/m³
+London,GB,2019-05-15 00:00:00+00:00,London Westminster,no2,22.0,µg/m³
+London,GB,2019-05-14 23:00:00+00:00,London Westminster,no2,26.0,µg/m³
+London,GB,2019-05-14 22:00:00+00:00,London Westminster,no2,26.0,µg/m³
+London,GB,2019-05-14 21:00:00+00:00,London Westminster,no2,25.0,µg/m³
+London,GB,2019-05-14 20:00:00+00:00,London Westminster,no2,27.0,µg/m³
+London,GB,2019-05-14 19:00:00+00:00,London Westminster,no2,28.0,µg/m³
+London,GB,2019-05-14 18:00:00+00:00,London Westminster,no2,30.0,µg/m³
+London,GB,2019-05-14 17:00:00+00:00,London Westminster,no2,33.0,µg/m³
+London,GB,2019-05-14 16:00:00+00:00,London Westminster,no2,32.0,µg/m³
+London,GB,2019-05-14 15:00:00+00:00,London Westminster,no2,29.0,µg/m³
+London,GB,2019-05-14 14:00:00+00:00,London Westminster,no2,25.0,µg/m³
+London,GB,2019-05-14 13:00:00+00:00,London Westminster,no2,25.0,µg/m³
+London,GB,2019-05-14 12:00:00+00:00,London Westminster,no2,25.0,µg/m³
+London,GB,2019-05-14 11:00:00+00:00,London Westminster,no2,27.0,µg/m³
+London,GB,2019-05-14 10:00:00+00:00,London Westminster,no2,31.0,µg/m³
+London,GB,2019-05-14 09:00:00+00:00,London Westminster,no2,30.0,µg/m³
+London,GB,2019-05-14 08:00:00+00:00,London Westminster,no2,33.0,µg/m³
+London,GB,2019-05-14 07:00:00+00:00,London Westminster,no2,34.0,µg/m³
+London,GB,2019-05-14 06:00:00+00:00,London Westminster,no2,33.0,µg/m³
+London,GB,2019-05-14 05:00:00+00:00,London Westminster,no2,30.0,µg/m³
+London,GB,2019-05-14 04:00:00+00:00,London Westminster,no2,30.0,µg/m³
+London,GB,2019-05-14 03:00:00+00:00,London Westminster,no2,26.0,µg/m³
+London,GB,2019-05-14 02:00:00+00:00,London Westminster,no2,26.0,µg/m³
+London,GB,2019-05-14 01:00:00+00:00,London Westminster,no2,23.0,µg/m³
+London,GB,2019-05-14 00:00:00+00:00,London Westminster,no2,23.0,µg/m³
+London,GB,2019-05-13 23:00:00+00:00,London Westminster,no2,31.0,µg/m³
+London,GB,2019-05-13 22:00:00+00:00,London Westminster,no2,31.0,µg/m³
+London,GB,2019-05-13 21:00:00+00:00,London Westminster,no2,31.0,µg/m³
+London,GB,2019-05-13 20:00:00+00:00,London Westminster,no2,31.0,µg/m³
+London,GB,2019-05-13 19:00:00+00:00,London Westminster,no2,31.0,µg/m³
+London,GB,2019-05-13 18:00:00+00:00,London Westminster,no2,30.0,µg/m³
+London,GB,2019-05-13 17:00:00+00:00,London Westminster,no2,30.0,µg/m³
+London,GB,2019-05-13 16:00:00+00:00,London Westminster,no2,29.0,µg/m³
+London,GB,2019-05-13 15:00:00+00:00,London Westminster,no2,28.0,µg/m³
+London,GB,2019-05-13 14:00:00+00:00,London Westminster,no2,26.0,µg/m³
+London,GB,2019-05-13 13:00:00+00:00,London Westminster,no2,25.0,µg/m³
+London,GB,2019-05-13 12:00:00+00:00,London Westminster,no2,24.0,µg/m³
+London,GB,2019-05-13 11:00:00+00:00,London Westminster,no2,26.0,µg/m³
+London,GB,2019-05-13 10:00:00+00:00,London Westminster,no2,27.0,µg/m³
+London,GB,2019-05-13 09:00:00+00:00,London Westminster,no2,29.0,µg/m³
+London,GB,2019-05-13 08:00:00+00:00,London Westminster,no2,31.0,µg/m³
+London,GB,2019-05-13 07:00:00+00:00,London Westminster,no2,39.0,µg/m³
+London,GB,2019-05-13 06:00:00+00:00,London Westminster,no2,39.0,µg/m³
+London,GB,2019-05-13 05:00:00+00:00,London Westminster,no2,33.0,µg/m³
+London,GB,2019-05-13 04:00:00+00:00,London Westminster,no2,33.0,µg/m³
+London,GB,2019-05-13 03:00:00+00:00,London Westminster,no2,24.0,µg/m³
+London,GB,2019-05-13 02:00:00+00:00,London Westminster,no2,24.0,µg/m³
+London,GB,2019-05-13 01:00:00+00:00,London Westminster,no2,22.0,µg/m³
+London,GB,2019-05-13 00:00:00+00:00,London Westminster,no2,22.0,µg/m³
+London,GB,2019-05-12 23:00:00+00:00,London Westminster,no2,22.0,µg/m³
+London,GB,2019-05-12 22:00:00+00:00,London Westminster,no2,22.0,µg/m³
+London,GB,2019-05-12 21:00:00+00:00,London Westminster,no2,21.0,µg/m³
+London,GB,2019-05-12 20:00:00+00:00,London Westminster,no2,22.0,µg/m³
+London,GB,2019-05-12 19:00:00+00:00,London Westminster,no2,22.0,µg/m³
+London,GB,2019-05-12 18:00:00+00:00,London Westminster,no2,22.0,µg/m³
+London,GB,2019-05-12 17:00:00+00:00,London Westminster,no2,24.0,µg/m³
+London,GB,2019-05-12 16:00:00+00:00,London Westminster,no2,23.0,µg/m³
+London,GB,2019-05-12 15:00:00+00:00,London Westminster,no2,22.0,µg/m³
+London,GB,2019-05-12 14:00:00+00:00,London Westminster,no2,21.0,µg/m³
+London,GB,2019-05-12 13:00:00+00:00,London Westminster,no2,19.0,µg/m³
+London,GB,2019-05-12 12:00:00+00:00,London Westminster,no2,20.0,µg/m³
+London,GB,2019-05-12 11:00:00+00:00,London Westminster,no2,21.0,µg/m³
+London,GB,2019-05-12 10:00:00+00:00,London Westminster,no2,26.0,µg/m³
+London,GB,2019-05-12 09:00:00+00:00,London Westminster,no2,26.0,µg/m³
+London,GB,2019-05-12 08:00:00+00:00,London Westminster,no2,32.0,µg/m³
+London,GB,2019-05-12 07:00:00+00:00,London Westminster,no2,44.0,µg/m³
+London,GB,2019-05-12 06:00:00+00:00,London Westminster,no2,38.0,µg/m³
+London,GB,2019-05-12 05:00:00+00:00,London Westminster,no2,36.0,µg/m³
+London,GB,2019-05-12 04:00:00+00:00,London Westminster,no2,36.0,µg/m³
+London,GB,2019-05-12 03:00:00+00:00,London Westminster,no2,38.0,µg/m³
+London,GB,2019-05-12 02:00:00+00:00,London Westminster,no2,38.0,µg/m³
+London,GB,2019-05-12 01:00:00+00:00,London Westminster,no2,35.0,µg/m³
+London,GB,2019-05-12 00:00:00+00:00,London Westminster,no2,35.0,µg/m³
+London,GB,2019-05-11 23:00:00+00:00,London Westminster,no2,37.0,µg/m³
+London,GB,2019-05-11 22:00:00+00:00,London Westminster,no2,37.0,µg/m³
+London,GB,2019-05-11 21:00:00+00:00,London Westminster,no2,34.0,µg/m³
+London,GB,2019-05-11 20:00:00+00:00,London Westminster,no2,33.0,µg/m³
+London,GB,2019-05-11 19:00:00+00:00,London Westminster,no2,33.0,µg/m³
+London,GB,2019-05-11 18:00:00+00:00,London Westminster,no2,31.0,µg/m³
+London,GB,2019-05-11 17:00:00+00:00,London Westminster,no2,28.0,µg/m³
+London,GB,2019-05-11 16:00:00+00:00,London Westminster,no2,26.0,µg/m³
+London,GB,2019-05-11 15:00:00+00:00,London Westminster,no2,28.0,µg/m³
+London,GB,2019-05-11 09:00:00+00:00,London Westminster,no2,30.0,µg/m³
+London,GB,2019-05-11 08:00:00+00:00,London Westminster,no2,27.0,µg/m³
+London,GB,2019-05-11 07:00:00+00:00,London Westminster,no2,30.0,µg/m³
+London,GB,2019-05-11 06:00:00+00:00,London Westminster,no2,30.0,µg/m³
+London,GB,2019-05-11 05:00:00+00:00,London Westminster,no2,35.0,µg/m³
+London,GB,2019-05-11 04:00:00+00:00,London Westminster,no2,35.0,µg/m³
+London,GB,2019-05-11 03:00:00+00:00,London Westminster,no2,32.0,µg/m³
+London,GB,2019-05-11 02:00:00+00:00,London Westminster,no2,32.0,µg/m³
+London,GB,2019-05-11 01:00:00+00:00,London Westminster,no2,27.0,µg/m³
+London,GB,2019-05-11 00:00:00+00:00,London Westminster,no2,27.0,µg/m³
+London,GB,2019-05-10 23:00:00+00:00,London Westminster,no2,31.0,µg/m³
+London,GB,2019-05-10 22:00:00+00:00,London Westminster,no2,31.0,µg/m³
+London,GB,2019-05-10 21:00:00+00:00,London Westminster,no2,29.0,µg/m³
+London,GB,2019-05-10 20:00:00+00:00,London Westminster,no2,29.0,µg/m³
+London,GB,2019-05-10 19:00:00+00:00,London Westminster,no2,29.0,µg/m³
+London,GB,2019-05-10 18:00:00+00:00,London Westminster,no2,26.0,µg/m³
+London,GB,2019-05-10 17:00:00+00:00,London Westminster,no2,26.0,µg/m³
+London,GB,2019-05-10 16:00:00+00:00,London Westminster,no2,24.0,µg/m³
+London,GB,2019-05-10 15:00:00+00:00,London Westminster,no2,25.0,µg/m³
+London,GB,2019-05-10 14:00:00+00:00,London Westminster,no2,25.0,µg/m³
+London,GB,2019-05-10 13:00:00+00:00,London Westminster,no2,26.0,µg/m³
+London,GB,2019-05-10 12:00:00+00:00,London Westminster,no2,28.0,µg/m³
+London,GB,2019-05-10 11:00:00+00:00,London Westminster,no2,29.0,µg/m³
+London,GB,2019-05-10 10:00:00+00:00,London Westminster,no2,31.0,µg/m³
+London,GB,2019-05-10 09:00:00+00:00,London Westminster,no2,34.0,µg/m³
+London,GB,2019-05-10 08:00:00+00:00,London Westminster,no2,39.0,µg/m³
+London,GB,2019-05-10 07:00:00+00:00,London Westminster,no2,36.0,µg/m³
+London,GB,2019-05-10 06:00:00+00:00,London Westminster,no2,39.0,µg/m³
+London,GB,2019-05-10 05:00:00+00:00,London Westminster,no2,40.0,µg/m³
+London,GB,2019-05-10 04:00:00+00:00,London Westminster,no2,40.0,µg/m³
+London,GB,2019-05-10 03:00:00+00:00,London Westminster,no2,41.0,µg/m³
+London,GB,2019-05-10 02:00:00+00:00,London Westminster,no2,41.0,µg/m³
+London,GB,2019-05-10 01:00:00+00:00,London Westminster,no2,52.0,µg/m³
+London,GB,2019-05-10 00:00:00+00:00,London Westminster,no2,52.0,µg/m³
+London,GB,2019-05-09 23:00:00+00:00,London Westminster,no2,59.0,µg/m³
+London,GB,2019-05-09 22:00:00+00:00,London Westminster,no2,59.0,µg/m³
+London,GB,2019-05-09 21:00:00+00:00,London Westminster,no2,65.0,µg/m³
+London,GB,2019-05-09 20:00:00+00:00,London Westminster,no2,59.0,µg/m³
+London,GB,2019-05-09 19:00:00+00:00,London Westminster,no2,62.0,µg/m³
+London,GB,2019-05-09 18:00:00+00:00,London Westminster,no2,58.0,µg/m³
+London,GB,2019-05-09 17:00:00+00:00,London Westminster,no2,60.0,µg/m³
+London,GB,2019-05-09 16:00:00+00:00,London Westminster,no2,67.0,µg/m³
+London,GB,2019-05-09 15:00:00+00:00,London Westminster,no2,97.0,µg/m³
+London,GB,2019-05-09 14:00:00+00:00,London Westminster,no2,34.0,µg/m³
+London,GB,2019-05-09 13:00:00+00:00,London Westminster,no2,27.0,µg/m³
+London,GB,2019-05-09 12:00:00+00:00,London Westminster,no2,30.0,µg/m³
+London,GB,2019-05-09 11:00:00+00:00,London Westminster,no2,27.0,µg/m³
+London,GB,2019-05-09 10:00:00+00:00,London Westminster,no2,28.0,µg/m³
+London,GB,2019-05-09 09:00:00+00:00,London Westminster,no2,36.0,µg/m³
+London,GB,2019-05-09 08:00:00+00:00,London Westminster,no2,35.0,µg/m³
+London,GB,2019-05-09 07:00:00+00:00,London Westminster,no2,33.0,µg/m³
+London,GB,2019-05-09 06:00:00+00:00,London Westminster,no2,33.0,µg/m³
+London,GB,2019-05-09 05:00:00+00:00,London Westminster,no2,33.0,µg/m³
+London,GB,2019-05-09 04:00:00+00:00,London Westminster,no2,33.0,µg/m³
+London,GB,2019-05-09 03:00:00+00:00,London Westminster,no2,31.0,µg/m³
+London,GB,2019-05-09 02:00:00+00:00,London Westminster,no2,31.0,µg/m³
+London,GB,2019-05-09 00:00:00+00:00,London Westminster,no2,30.0,µg/m³
+London,GB,2019-05-08 23:00:00+00:00,London Westminster,no2,25.0,µg/m³
+London,GB,2019-05-08 21:00:00+00:00,London Westminster,no2,26.0,µg/m³
+London,GB,2019-05-08 20:00:00+00:00,London Westminster,no2,29.0,µg/m³
+London,GB,2019-05-08 19:00:00+00:00,London Westminster,no2,25.0,µg/m³
+London,GB,2019-05-08 18:00:00+00:00,London Westminster,no2,40.0,µg/m³
+London,GB,2019-05-08 17:00:00+00:00,London Westminster,no2,31.0,µg/m³
+London,GB,2019-05-08 16:00:00+00:00,London Westminster,no2,28.0,µg/m³
+London,GB,2019-05-08 15:00:00+00:00,London Westminster,no2,27.0,µg/m³
+London,GB,2019-05-08 14:00:00+00:00,London Westminster,no2,24.0,µg/m³
+London,GB,2019-05-08 13:00:00+00:00,London Westminster,no2,26.0,µg/m³
+London,GB,2019-05-08 12:00:00+00:00,London Westminster,no2,26.0,µg/m³
+London,GB,2019-05-08 11:00:00+00:00,London Westminster,no2,27.0,µg/m³
+London,GB,2019-05-08 10:00:00+00:00,London Westminster,no2,28.0,µg/m³
+London,GB,2019-05-08 09:00:00+00:00,London Westminster,no2,33.0,µg/m³
+London,GB,2019-05-08 08:00:00+00:00,London Westminster,no2,36.0,µg/m³
+London,GB,2019-05-08 07:00:00+00:00,London Westminster,no2,34.0,µg/m³
+London,GB,2019-05-08 06:00:00+00:00,London Westminster,no2,29.0,µg/m³
+London,GB,2019-05-08 05:00:00+00:00,London Westminster,no2,19.0,µg/m³
+London,GB,2019-05-08 04:00:00+00:00,London Westminster,no2,19.0,µg/m³
+London,GB,2019-05-08 03:00:00+00:00,London Westminster,no2,20.0,µg/m³
+London,GB,2019-05-08 02:00:00+00:00,London Westminster,no2,20.0,µg/m³
+London,GB,2019-05-08 01:00:00+00:00,London Westminster,no2,19.0,µg/m³
+London,GB,2019-05-08 00:00:00+00:00,London Westminster,no2,19.0,µg/m³
+London,GB,2019-05-07 23:00:00+00:00,London Westminster,no2,24.0,µg/m³
+London,GB,2019-05-07 21:00:00+00:00,London Westminster,no2,24.0,µg/m³
+London,GB,2019-05-07 20:00:00+00:00,London Westminster,no2,24.0,µg/m³
+London,GB,2019-05-07 19:00:00+00:00,London Westminster,no2,20.0,µg/m³
+London,GB,2019-05-07 18:00:00+00:00,London Westminster,no2,20.0,µg/m³
+London,GB,2019-05-07 17:00:00+00:00,London Westminster,no2,21.0,µg/m³
+London,GB,2019-05-07 16:00:00+00:00,London Westminster,no2,20.0,µg/m³
+London,GB,2019-05-07 15:00:00+00:00,London Westminster,no2,20.0,µg/m³
+London,GB,2019-05-07 14:00:00+00:00,London Westminster,no2,18.0,µg/m³
+London,GB,2019-05-07 13:00:00+00:00,London Westminster,no2,20.0,µg/m³
+London,GB,2019-05-07 12:00:00+00:00,London Westminster,no2,18.0,µg/m³
+London,GB,2019-05-07 11:00:00+00:00,London Westminster,no2,21.0,µg/m³
+London,GB,2019-05-07 10:00:00+00:00,London Westminster,no2,21.0,µg/m³
+London,GB,2019-05-07 09:00:00+00:00,London Westminster,no2,28.0,µg/m³
+London,GB,2019-05-07 08:00:00+00:00,London Westminster,no2,32.0,µg/m³
+London,GB,2019-05-07 07:00:00+00:00,London Westminster,no2,32.0,µg/m³
+London,GB,2019-05-07 06:00:00+00:00,London Westminster,no2,26.0,µg/m³
+London,GB,2019-05-07 04:00:00+00:00,London Westminster,no2,16.0,µg/m³
+London,GB,2019-05-07 03:00:00+00:00,London Westminster,no2,19.0,µg/m³
+London,GB,2019-05-07 02:00:00+00:00,London Westminster,no2,19.0,µg/m³
+London,GB,2019-05-07 01:00:00+00:00,London Westminster,no2,23.0,µg/m³
diff --git a/doc/data/air_quality_parameters.csv b/doc/data/air_quality_parameters.csv
new file mode 100644
index 0000000000000..915f6300e43b8
--- /dev/null
+++ b/doc/data/air_quality_parameters.csv
@@ -0,0 +1,8 @@
+id,description,name
+bc,Black Carbon,BC
+co,Carbon Monoxide,CO
+no2,Nitrogen Dioxide,NO2
+o3,Ozone,O3
+pm10,Particulate matter less than 10 micrometers in diameter,PM10
+pm25,Particulate matter less than 2.5 micrometers in diameter,PM2.5
+so2,Sulfur Dioxide,SO2
diff --git a/doc/data/air_quality_pm25_long.csv b/doc/data/air_quality_pm25_long.csv
new file mode 100644
index 0000000000000..f74053c249339
--- /dev/null
+++ b/doc/data/air_quality_pm25_long.csv
@@ -0,0 +1,1111 @@
+city,country,date.utc,location,parameter,value,unit
+Antwerpen,BE,2019-06-18 06:00:00+00:00,BETR801,pm25,18.0,µg/m³
+Antwerpen,BE,2019-06-17 08:00:00+00:00,BETR801,pm25,6.5,µg/m³
+Antwerpen,BE,2019-06-17 07:00:00+00:00,BETR801,pm25,18.5,µg/m³
+Antwerpen,BE,2019-06-17 06:00:00+00:00,BETR801,pm25,16.0,µg/m³
+Antwerpen,BE,2019-06-17 05:00:00+00:00,BETR801,pm25,7.5,µg/m³
+Antwerpen,BE,2019-06-17 04:00:00+00:00,BETR801,pm25,7.5,µg/m³
+Antwerpen,BE,2019-06-17 03:00:00+00:00,BETR801,pm25,7.0,µg/m³
+Antwerpen,BE,2019-06-17 02:00:00+00:00,BETR801,pm25,7.0,µg/m³
+Antwerpen,BE,2019-06-17 01:00:00+00:00,BETR801,pm25,8.0,µg/m³
+Antwerpen,BE,2019-06-16 01:00:00+00:00,BETR801,pm25,15.0,µg/m³
+Antwerpen,BE,2019-06-15 01:00:00+00:00,BETR801,pm25,11.0,µg/m³
+Antwerpen,BE,2019-06-14 09:00:00+00:00,BETR801,pm25,12.0,µg/m³
+Antwerpen,BE,2019-06-13 01:00:00+00:00,BETR801,pm25,3.0,µg/m³
+Antwerpen,BE,2019-06-12 01:00:00+00:00,BETR801,pm25,16.0,µg/m³
+Antwerpen,BE,2019-06-11 01:00:00+00:00,BETR801,pm25,3.5,µg/m³
+Antwerpen,BE,2019-06-10 01:00:00+00:00,BETR801,pm25,8.5,µg/m³
+Antwerpen,BE,2019-06-09 01:00:00+00:00,BETR801,pm25,6.0,µg/m³
+Antwerpen,BE,2019-06-08 01:00:00+00:00,BETR801,pm25,6.5,µg/m³
+Antwerpen,BE,2019-06-06 01:00:00+00:00,BETR801,pm25,6.5,µg/m³
+Antwerpen,BE,2019-06-05 01:00:00+00:00,BETR801,pm25,11.0,µg/m³
+Antwerpen,BE,2019-06-04 01:00:00+00:00,BETR801,pm25,10.5,µg/m³
+Antwerpen,BE,2019-06-03 01:00:00+00:00,BETR801,pm25,12.5,µg/m³
+Antwerpen,BE,2019-06-02 01:00:00+00:00,BETR801,pm25,19.0,µg/m³
+Antwerpen,BE,2019-06-01 01:00:00+00:00,BETR801,pm25,9.0,µg/m³
+Antwerpen,BE,2019-05-31 01:00:00+00:00,BETR801,pm25,6.0,µg/m³
+Antwerpen,BE,2019-05-30 01:00:00+00:00,BETR801,pm25,5.0,µg/m³
+Antwerpen,BE,2019-05-29 01:00:00+00:00,BETR801,pm25,5.5,µg/m³
+Antwerpen,BE,2019-05-28 01:00:00+00:00,BETR801,pm25,7.0,µg/m³
+Antwerpen,BE,2019-05-27 01:00:00+00:00,BETR801,pm25,7.5,µg/m³
+Antwerpen,BE,2019-05-26 01:00:00+00:00,BETR801,pm25,26.5,µg/m³
+Antwerpen,BE,2019-05-25 01:00:00+00:00,BETR801,pm25,10.0,µg/m³
+Antwerpen,BE,2019-05-24 01:00:00+00:00,BETR801,pm25,13.0,µg/m³
+Antwerpen,BE,2019-05-23 01:00:00+00:00,BETR801,pm25,7.5,µg/m³
+Antwerpen,BE,2019-05-22 01:00:00+00:00,BETR801,pm25,15.5,µg/m³
+Antwerpen,BE,2019-05-21 01:00:00+00:00,BETR801,pm25,20.5,µg/m³
+Antwerpen,BE,2019-05-20 17:00:00+00:00,BETR801,pm25,18.5,µg/m³
+Antwerpen,BE,2019-05-20 16:00:00+00:00,BETR801,pm25,17.0,µg/m³
+Antwerpen,BE,2019-05-20 15:00:00+00:00,BETR801,pm25,18.5,µg/m³
+Antwerpen,BE,2019-05-20 14:00:00+00:00,BETR801,pm25,14.5,µg/m³
+Antwerpen,BE,2019-05-20 13:00:00+00:00,BETR801,pm25,17.0,µg/m³
+Antwerpen,BE,2019-05-20 12:00:00+00:00,BETR801,pm25,17.5,µg/m³
+Antwerpen,BE,2019-05-20 11:00:00+00:00,BETR801,pm25,13.5,µg/m³
+Antwerpen,BE,2019-05-20 10:00:00+00:00,BETR801,pm25,10.5,µg/m³
+Antwerpen,BE,2019-05-20 09:00:00+00:00,BETR801,pm25,13.5,µg/m³
+Antwerpen,BE,2019-05-20 08:00:00+00:00,BETR801,pm25,19.5,µg/m³
+Antwerpen,BE,2019-05-20 07:00:00+00:00,BETR801,pm25,23.5,µg/m³
+Antwerpen,BE,2019-05-20 06:00:00+00:00,BETR801,pm25,22.0,µg/m³
+Antwerpen,BE,2019-05-20 05:00:00+00:00,BETR801,pm25,25.0,µg/m³
+Antwerpen,BE,2019-05-20 04:00:00+00:00,BETR801,pm25,24.5,µg/m³
+Antwerpen,BE,2019-05-20 03:00:00+00:00,BETR801,pm25,15.0,µg/m³
+Antwerpen,BE,2019-05-20 02:00:00+00:00,BETR801,pm25,18.5,µg/m³
+Antwerpen,BE,2019-05-20 01:00:00+00:00,BETR801,pm25,28.0,µg/m³
+Antwerpen,BE,2019-05-19 21:00:00+00:00,BETR801,pm25,35.5,µg/m³
+Antwerpen,BE,2019-05-19 20:00:00+00:00,BETR801,pm25,40.0,µg/m³
+Antwerpen,BE,2019-05-19 19:00:00+00:00,BETR801,pm25,43.5,µg/m³
+Antwerpen,BE,2019-05-19 18:00:00+00:00,BETR801,pm25,35.0,µg/m³
+Antwerpen,BE,2019-05-19 17:00:00+00:00,BETR801,pm25,34.0,µg/m³
+Antwerpen,BE,2019-05-19 16:00:00+00:00,BETR801,pm25,36.5,µg/m³
+Antwerpen,BE,2019-05-19 15:00:00+00:00,BETR801,pm25,44.0,µg/m³
+Antwerpen,BE,2019-05-19 14:00:00+00:00,BETR801,pm25,43.5,µg/m³
+Antwerpen,BE,2019-05-19 13:00:00+00:00,BETR801,pm25,46.0,µg/m³
+Antwerpen,BE,2019-05-19 12:00:00+00:00,BETR801,pm25,43.0,µg/m³
+Antwerpen,BE,2019-05-19 11:00:00+00:00,BETR801,pm25,41.0,µg/m³
+Antwerpen,BE,2019-05-19 10:00:00+00:00,BETR801,pm25,41.5,µg/m³
+Antwerpen,BE,2019-05-19 09:00:00+00:00,BETR801,pm25,42.5,µg/m³
+Antwerpen,BE,2019-05-19 08:00:00+00:00,BETR801,pm25,51.5,µg/m³
+Antwerpen,BE,2019-05-19 07:00:00+00:00,BETR801,pm25,56.0,µg/m³
+Antwerpen,BE,2019-05-19 06:00:00+00:00,BETR801,pm25,58.5,µg/m³
+Antwerpen,BE,2019-05-19 05:00:00+00:00,BETR801,pm25,60.0,µg/m³
+Antwerpen,BE,2019-05-19 04:00:00+00:00,BETR801,pm25,56.5,µg/m³
+Antwerpen,BE,2019-05-19 03:00:00+00:00,BETR801,pm25,52.5,µg/m³
+Antwerpen,BE,2019-05-19 02:00:00+00:00,BETR801,pm25,51.5,µg/m³
+Antwerpen,BE,2019-05-19 01:00:00+00:00,BETR801,pm25,52.0,µg/m³
+Antwerpen,BE,2019-05-19 00:00:00+00:00,BETR801,pm25,49.5,µg/m³
+Antwerpen,BE,2019-05-18 23:00:00+00:00,BETR801,pm25,45.5,µg/m³
+Antwerpen,BE,2019-05-18 22:00:00+00:00,BETR801,pm25,42.0,µg/m³
+Antwerpen,BE,2019-05-18 21:00:00+00:00,BETR801,pm25,40.5,µg/m³
+Antwerpen,BE,2019-05-18 20:00:00+00:00,BETR801,pm25,41.0,µg/m³
+Antwerpen,BE,2019-05-18 19:00:00+00:00,BETR801,pm25,36.5,µg/m³
+Antwerpen,BE,2019-05-18 18:00:00+00:00,BETR801,pm25,37.0,µg/m³
+Antwerpen,BE,2019-05-18 01:00:00+00:00,BETR801,pm25,24.0,µg/m³
+Antwerpen,BE,2019-05-17 01:00:00+00:00,BETR801,pm25,13.5,µg/m³
+Antwerpen,BE,2019-05-16 01:00:00+00:00,BETR801,pm25,11.0,µg/m³
+Antwerpen,BE,2019-05-15 02:00:00+00:00,BETR801,pm25,12.5,µg/m³
+Antwerpen,BE,2019-05-15 01:00:00+00:00,BETR801,pm25,13.0,µg/m³
+Antwerpen,BE,2019-05-14 02:00:00+00:00,BETR801,pm25,4.0,µg/m³
+Antwerpen,BE,2019-05-14 01:00:00+00:00,BETR801,pm25,4.0,µg/m³
+Antwerpen,BE,2019-05-13 02:00:00+00:00,BETR801,pm25,5.5,µg/m³
+Antwerpen,BE,2019-05-13 01:00:00+00:00,BETR801,pm25,5.0,µg/m³
+Antwerpen,BE,2019-05-12 02:00:00+00:00,BETR801,pm25,6.0,µg/m³
+Antwerpen,BE,2019-05-12 01:00:00+00:00,BETR801,pm25,6.0,µg/m³
+Antwerpen,BE,2019-05-11 02:00:00+00:00,BETR801,pm25,19.5,µg/m³
+Antwerpen,BE,2019-05-11 01:00:00+00:00,BETR801,pm25,17.0,µg/m³
+Antwerpen,BE,2019-05-10 02:00:00+00:00,BETR801,pm25,13.5,µg/m³
+Antwerpen,BE,2019-05-10 01:00:00+00:00,BETR801,pm25,11.5,µg/m³
+Antwerpen,BE,2019-05-09 02:00:00+00:00,BETR801,pm25,3.5,µg/m³
+Antwerpen,BE,2019-05-09 01:00:00+00:00,BETR801,pm25,4.5,µg/m³
+Antwerpen,BE,2019-05-08 02:00:00+00:00,BETR801,pm25,14.0,µg/m³
+Antwerpen,BE,2019-05-08 01:00:00+00:00,BETR801,pm25,14.5,µg/m³
+Antwerpen,BE,2019-05-07 02:00:00+00:00,BETR801,pm25,14.0,µg/m³
+Antwerpen,BE,2019-05-07 01:00:00+00:00,BETR801,pm25,12.5,µg/m³
+London,GB,2019-06-21 00:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-06-20 23:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-06-20 22:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-06-20 21:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-06-20 20:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-06-20 19:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-06-20 18:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-06-20 17:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-06-20 16:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-06-20 15:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-06-19 13:00:00+00:00,London Westminster,pm25,12.0,µg/m³
+London,GB,2019-06-19 12:00:00+00:00,London Westminster,pm25,12.0,µg/m³
+London,GB,2019-06-19 11:00:00+00:00,London Westminster,pm25,12.0,µg/m³
+London,GB,2019-06-19 00:00:00+00:00,London Westminster,pm25,11.0,µg/m³
+London,GB,2019-06-18 23:00:00+00:00,London Westminster,pm25,11.0,µg/m³
+London,GB,2019-06-18 22:00:00+00:00,London Westminster,pm25,11.0,µg/m³
+London,GB,2019-06-18 21:00:00+00:00,London Westminster,pm25,10.0,µg/m³
+London,GB,2019-06-18 11:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-06-18 10:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-06-18 09:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-06-18 08:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-06-18 07:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-06-18 06:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-06-18 05:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-06-18 04:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-06-18 03:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-06-18 02:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-06-18 00:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-06-17 23:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-06-17 22:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-06-17 21:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-06-17 20:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-06-17 19:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-06-17 18:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-06-17 17:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-06-17 16:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-06-17 15:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-06-17 14:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-06-17 13:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-06-17 12:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-06-17 11:00:00+00:00,London Westminster,pm25,6.0,µg/m³
+London,GB,2019-06-17 10:00:00+00:00,London Westminster,pm25,6.0,µg/m³
+London,GB,2019-06-17 09:00:00+00:00,London Westminster,pm25,6.0,µg/m³
+London,GB,2019-06-17 08:00:00+00:00,London Westminster,pm25,6.0,µg/m³
+London,GB,2019-06-17 07:00:00+00:00,London Westminster,pm25,6.0,µg/m³
+London,GB,2019-06-17 06:00:00+00:00,London Westminster,pm25,6.0,µg/m³
+London,GB,2019-06-17 05:00:00+00:00,London Westminster,pm25,6.0,µg/m³
+London,GB,2019-06-17 04:00:00+00:00,London Westminster,pm25,6.0,µg/m³
+London,GB,2019-06-17 03:00:00+00:00,London Westminster,pm25,6.0,µg/m³
+London,GB,2019-06-17 02:00:00+00:00,London Westminster,pm25,6.0,µg/m³
+London,GB,2019-06-17 01:00:00+00:00,London Westminster,pm25,6.0,µg/m³
+London,GB,2019-06-17 00:00:00+00:00,London Westminster,pm25,6.0,µg/m³
+London,GB,2019-06-16 23:00:00+00:00,London Westminster,pm25,6.0,µg/m³
+London,GB,2019-06-16 21:00:00+00:00,London Westminster,pm25,6.0,µg/m³
+London,GB,2019-06-16 20:00:00+00:00,London Westminster,pm25,6.0,µg/m³
+London,GB,2019-06-16 19:00:00+00:00,London Westminster,pm25,6.0,µg/m³
+London,GB,2019-06-16 18:00:00+00:00,London Westminster,pm25,6.0,µg/m³
+London,GB,2019-06-16 17:00:00+00:00,London Westminster,pm25,6.0,µg/m³
+London,GB,2019-06-16 16:00:00+00:00,London Westminster,pm25,6.0,µg/m³
+London,GB,2019-06-16 15:00:00+00:00,London Westminster,pm25,6.0,µg/m³
+London,GB,2019-06-16 14:00:00+00:00,London Westminster,pm25,6.0,µg/m³
+London,GB,2019-06-16 13:00:00+00:00,London Westminster,pm25,6.0,µg/m³
+London,GB,2019-06-16 12:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-06-16 11:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-06-16 10:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-06-16 09:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-06-16 08:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-06-16 07:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-06-16 06:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-06-16 05:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-06-16 04:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-06-16 03:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-06-16 02:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-06-16 01:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-06-16 00:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-06-15 23:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-06-15 22:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-06-15 21:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-06-15 20:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-06-15 19:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-06-15 18:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-06-15 17:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-06-15 16:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-06-15 15:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-06-15 14:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-06-15 13:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-06-15 12:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-06-15 11:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-06-15 10:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-06-15 09:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-06-15 08:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-06-15 07:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-06-15 06:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-06-15 05:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-06-15 04:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-06-15 00:00:00+00:00,London Westminster,pm25,6.0,µg/m³
+London,GB,2019-06-14 23:00:00+00:00,London Westminster,pm25,6.0,µg/m³
+London,GB,2019-06-14 22:00:00+00:00,London Westminster,pm25,6.0,µg/m³
+London,GB,2019-06-14 21:00:00+00:00,London Westminster,pm25,6.0,µg/m³
+London,GB,2019-06-14 20:00:00+00:00,London Westminster,pm25,6.0,µg/m³
+London,GB,2019-06-14 19:00:00+00:00,London Westminster,pm25,6.0,µg/m³
+London,GB,2019-06-14 18:00:00+00:00,London Westminster,pm25,6.0,µg/m³
+London,GB,2019-06-14 17:00:00+00:00,London Westminster,pm25,6.0,µg/m³
+London,GB,2019-06-14 16:00:00+00:00,London Westminster,pm25,6.0,µg/m³
+London,GB,2019-06-14 15:00:00+00:00,London Westminster,pm25,6.0,µg/m³
+London,GB,2019-06-14 14:00:00+00:00,London Westminster,pm25,6.0,µg/m³
+London,GB,2019-06-14 13:00:00+00:00,London Westminster,pm25,6.0,µg/m³
+London,GB,2019-06-14 12:00:00+00:00,London Westminster,pm25,6.0,µg/m³
+London,GB,2019-06-14 11:00:00+00:00,London Westminster,pm25,6.0,µg/m³
+London,GB,2019-06-14 10:00:00+00:00,London Westminster,pm25,6.0,µg/m³
+London,GB,2019-06-14 09:00:00+00:00,London Westminster,pm25,6.0,µg/m³
+London,GB,2019-06-14 08:00:00+00:00,London Westminster,pm25,6.0,µg/m³
+London,GB,2019-06-14 07:00:00+00:00,London Westminster,pm25,6.0,µg/m³
+London,GB,2019-06-14 06:00:00+00:00,London Westminster,pm25,6.0,µg/m³
+London,GB,2019-06-14 05:00:00+00:00,London Westminster,pm25,6.0,µg/m³
+London,GB,2019-06-14 04:00:00+00:00,London Westminster,pm25,6.0,µg/m³
+London,GB,2019-06-14 03:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-06-14 02:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-06-14 00:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-06-13 23:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-06-13 22:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-06-13 21:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-06-13 20:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-06-13 19:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-06-13 18:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-06-13 17:00:00+00:00,London Westminster,pm25,9.0,µg/m³
+London,GB,2019-06-13 16:00:00+00:00,London Westminster,pm25,9.0,µg/m³
+London,GB,2019-06-13 15:00:00+00:00,London Westminster,pm25,9.0,µg/m³
+London,GB,2019-06-13 14:00:00+00:00,London Westminster,pm25,9.0,µg/m³
+London,GB,2019-06-13 13:00:00+00:00,London Westminster,pm25,9.0,µg/m³
+London,GB,2019-06-13 12:00:00+00:00,London Westminster,pm25,10.0,µg/m³
+London,GB,2019-06-13 11:00:00+00:00,London Westminster,pm25,10.0,µg/m³
+London,GB,2019-06-13 10:00:00+00:00,London Westminster,pm25,9.0,µg/m³
+London,GB,2019-06-13 09:00:00+00:00,London Westminster,pm25,10.0,µg/m³
+London,GB,2019-06-13 08:00:00+00:00,London Westminster,pm25,9.0,µg/m³
+London,GB,2019-06-13 07:00:00+00:00,London Westminster,pm25,9.0,µg/m³
+London,GB,2019-06-13 06:00:00+00:00,London Westminster,pm25,9.0,µg/m³
+London,GB,2019-06-13 05:00:00+00:00,London Westminster,pm25,9.0,µg/m³
+London,GB,2019-06-13 04:00:00+00:00,London Westminster,pm25,9.0,µg/m³
+London,GB,2019-06-13 03:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-06-13 02:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-06-13 00:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-06-12 23:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-06-12 21:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-06-12 20:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-06-12 19:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-06-12 18:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-06-12 17:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-06-12 16:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-06-12 15:00:00+00:00,London Westminster,pm25,6.0,µg/m³
+London,GB,2019-06-12 14:00:00+00:00,London Westminster,pm25,6.0,µg/m³
+London,GB,2019-06-12 13:00:00+00:00,London Westminster,pm25,6.0,µg/m³
+London,GB,2019-06-12 12:00:00+00:00,London Westminster,pm25,6.0,µg/m³
+London,GB,2019-06-12 11:00:00+00:00,London Westminster,pm25,6.0,µg/m³
+London,GB,2019-06-12 10:00:00+00:00,London Westminster,pm25,6.0,µg/m³
+London,GB,2019-06-12 09:00:00+00:00,London Westminster,pm25,6.0,µg/m³
+London,GB,2019-06-12 08:00:00+00:00,London Westminster,pm25,6.0,µg/m³
+London,GB,2019-06-12 07:00:00+00:00,London Westminster,pm25,6.0,µg/m³
+London,GB,2019-06-12 06:00:00+00:00,London Westminster,pm25,6.0,µg/m³
+London,GB,2019-06-12 05:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-06-12 04:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-06-12 03:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-06-12 00:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-06-11 23:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-06-11 22:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-06-11 21:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-06-11 20:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-06-11 19:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-06-11 18:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-06-11 17:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-06-11 16:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-06-11 15:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-06-11 14:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-06-11 13:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-06-11 12:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-06-11 11:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-06-11 10:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-06-11 09:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-06-11 08:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-06-11 07:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-06-11 06:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-06-11 05:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-06-11 04:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-06-11 03:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-06-11 02:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-06-11 01:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-06-11 00:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-06-10 23:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-06-10 22:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-06-10 21:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-06-10 20:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-06-10 19:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-06-10 18:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-06-10 17:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-06-10 16:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-06-10 15:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-06-10 14:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-06-10 13:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-06-10 12:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-06-10 11:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-06-10 10:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-06-10 09:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-06-10 08:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-06-10 07:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-06-10 06:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-06-10 05:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-06-10 04:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-06-10 03:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-06-10 02:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-06-10 01:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-06-10 00:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-06-09 23:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-06-09 21:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-06-09 20:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-06-09 19:00:00+00:00,London Westminster,pm25,6.0,µg/m³
+London,GB,2019-06-09 18:00:00+00:00,London Westminster,pm25,6.0,µg/m³
+London,GB,2019-06-09 17:00:00+00:00,London Westminster,pm25,6.0,µg/m³
+London,GB,2019-06-09 16:00:00+00:00,London Westminster,pm25,6.0,µg/m³
+London,GB,2019-06-09 15:00:00+00:00,London Westminster,pm25,6.0,µg/m³
+London,GB,2019-06-09 14:00:00+00:00,London Westminster,pm25,6.0,µg/m³
+London,GB,2019-06-09 13:00:00+00:00,London Westminster,pm25,6.0,µg/m³
+London,GB,2019-06-09 12:00:00+00:00,London Westminster,pm25,6.0,µg/m³
+London,GB,2019-06-09 11:00:00+00:00,London Westminster,pm25,6.0,µg/m³
+London,GB,2019-06-09 10:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-06-09 09:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-06-09 08:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-06-09 07:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-06-09 06:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-06-09 05:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-06-09 04:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-06-09 03:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-06-09 02:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-06-09 01:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-06-09 00:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-06-08 23:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-06-08 21:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-06-08 20:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-06-08 19:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-06-08 18:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-06-08 17:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-06-08 16:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-06-08 15:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-06-08 14:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-06-08 13:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-06-08 12:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-06-08 11:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-06-08 10:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-06-08 09:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-06-08 08:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-06-08 07:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-06-08 06:00:00+00:00,London Westminster,pm25,9.0,µg/m³
+London,GB,2019-06-08 05:00:00+00:00,London Westminster,pm25,9.0,µg/m³
+London,GB,2019-06-08 04:00:00+00:00,London Westminster,pm25,10.0,µg/m³
+London,GB,2019-06-08 03:00:00+00:00,London Westminster,pm25,16.0,µg/m³
+London,GB,2019-06-08 02:00:00+00:00,London Westminster,pm25,16.0,µg/m³
+London,GB,2019-06-08 00:00:00+00:00,London Westminster,pm25,16.0,µg/m³
+London,GB,2019-06-07 23:00:00+00:00,London Westminster,pm25,16.0,µg/m³
+London,GB,2019-06-07 21:00:00+00:00,London Westminster,pm25,16.0,µg/m³
+London,GB,2019-06-07 20:00:00+00:00,London Westminster,pm25,16.0,µg/m³
+London,GB,2019-06-07 19:00:00+00:00,London Westminster,pm25,16.0,µg/m³
+London,GB,2019-06-07 18:00:00+00:00,London Westminster,pm25,15.0,µg/m³
+London,GB,2019-06-07 17:00:00+00:00,London Westminster,pm25,15.0,µg/m³
+London,GB,2019-06-07 16:00:00+00:00,London Westminster,pm25,15.0,µg/m³
+London,GB,2019-06-07 15:00:00+00:00,London Westminster,pm25,15.0,µg/m³
+London,GB,2019-06-07 14:00:00+00:00,London Westminster,pm25,15.0,µg/m³
+London,GB,2019-06-07 13:00:00+00:00,London Westminster,pm25,15.0,µg/m³
+London,GB,2019-06-07 12:00:00+00:00,London Westminster,pm25,14.0,µg/m³
+London,GB,2019-06-07 11:00:00+00:00,London Westminster,pm25,14.0,µg/m³
+London,GB,2019-06-07 10:00:00+00:00,London Westminster,pm25,14.0,µg/m³
+London,GB,2019-06-07 09:00:00+00:00,London Westminster,pm25,14.0,µg/m³
+London,GB,2019-06-07 08:00:00+00:00,London Westminster,pm25,14.0,µg/m³
+London,GB,2019-06-07 07:00:00+00:00,London Westminster,pm25,13.0,µg/m³
+London,GB,2019-06-07 06:00:00+00:00,London Westminster,pm25,13.0,µg/m³
+London,GB,2019-06-07 05:00:00+00:00,London Westminster,pm25,13.0,µg/m³
+London,GB,2019-06-07 04:00:00+00:00,London Westminster,pm25,12.0,µg/m³
+London,GB,2019-06-07 03:00:00+00:00,London Westminster,pm25,6.0,µg/m³
+London,GB,2019-06-07 02:00:00+00:00,London Westminster,pm25,6.0,µg/m³
+London,GB,2019-06-07 01:00:00+00:00,London Westminster,pm25,6.0,µg/m³
+London,GB,2019-06-07 00:00:00+00:00,London Westminster,pm25,6.0,µg/m³
+London,GB,2019-06-06 23:00:00+00:00,London Westminster,pm25,6.0,µg/m³
+London,GB,2019-06-06 22:00:00+00:00,London Westminster,pm25,6.0,µg/m³
+London,GB,2019-06-06 21:00:00+00:00,London Westminster,pm25,6.0,µg/m³
+London,GB,2019-06-06 20:00:00+00:00,London Westminster,pm25,6.0,µg/m³
+London,GB,2019-06-06 19:00:00+00:00,London Westminster,pm25,6.0,µg/m³
+London,GB,2019-06-06 18:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-06-06 17:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-06-06 16:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-06-06 15:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-06-06 14:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-06-06 13:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-06-06 12:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-06-06 11:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-06-06 10:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-06-06 09:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-06-06 08:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-06-06 07:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-06-06 06:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-06-06 05:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-06-06 04:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-06-06 03:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-06-06 02:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-06-06 00:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-06-05 23:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-06-05 22:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-06-05 21:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-06-05 20:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-06-05 19:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-06-05 18:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-06-05 17:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-06-05 16:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-06-05 15:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-06-05 14:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-06-05 13:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-06-05 12:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-06-05 11:00:00+00:00,London Westminster,pm25,9.0,µg/m³
+London,GB,2019-06-05 10:00:00+00:00,London Westminster,pm25,9.0,µg/m³
+London,GB,2019-06-05 09:00:00+00:00,London Westminster,pm25,9.0,µg/m³
+London,GB,2019-06-05 08:00:00+00:00,London Westminster,pm25,9.0,µg/m³
+London,GB,2019-06-05 07:00:00+00:00,London Westminster,pm25,9.0,µg/m³
+London,GB,2019-06-05 06:00:00+00:00,London Westminster,pm25,9.0,µg/m³
+London,GB,2019-06-05 05:00:00+00:00,London Westminster,pm25,9.0,µg/m³
+London,GB,2019-06-05 04:00:00+00:00,London Westminster,pm25,10.0,µg/m³
+London,GB,2019-06-05 03:00:00+00:00,London Westminster,pm25,10.0,µg/m³
+London,GB,2019-06-05 02:00:00+00:00,London Westminster,pm25,10.0,µg/m³
+London,GB,2019-06-05 01:00:00+00:00,London Westminster,pm25,9.0,µg/m³
+London,GB,2019-06-05 00:00:00+00:00,London Westminster,pm25,9.0,µg/m³
+London,GB,2019-06-04 23:00:00+00:00,London Westminster,pm25,9.0,µg/m³
+London,GB,2019-06-04 22:00:00+00:00,London Westminster,pm25,10.0,µg/m³
+London,GB,2019-06-04 21:00:00+00:00,London Westminster,pm25,10.0,µg/m³
+London,GB,2019-06-04 20:00:00+00:00,London Westminster,pm25,10.0,µg/m³
+London,GB,2019-06-04 19:00:00+00:00,London Westminster,pm25,10.0,µg/m³
+London,GB,2019-06-04 18:00:00+00:00,London Westminster,pm25,10.0,µg/m³
+London,GB,2019-06-04 17:00:00+00:00,London Westminster,pm25,9.0,µg/m³
+London,GB,2019-06-04 16:00:00+00:00,London Westminster,pm25,9.0,µg/m³
+London,GB,2019-06-04 15:00:00+00:00,London Westminster,pm25,9.0,µg/m³
+London,GB,2019-06-04 14:00:00+00:00,London Westminster,pm25,9.0,µg/m³
+London,GB,2019-06-04 13:00:00+00:00,London Westminster,pm25,9.0,µg/m³
+London,GB,2019-06-04 12:00:00+00:00,London Westminster,pm25,9.0,µg/m³
+London,GB,2019-06-04 11:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-06-04 10:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-06-04 09:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-06-04 08:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-06-04 07:00:00+00:00,London Westminster,pm25,9.0,µg/m³
+London,GB,2019-06-04 06:00:00+00:00,London Westminster,pm25,9.0,µg/m³
+London,GB,2019-06-04 05:00:00+00:00,London Westminster,pm25,9.0,µg/m³
+London,GB,2019-06-04 04:00:00+00:00,London Westminster,pm25,9.0,µg/m³
+London,GB,2019-06-04 03:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-06-04 02:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-06-04 01:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-06-04 00:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-06-03 23:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-06-03 22:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-06-03 21:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-06-03 20:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-06-03 19:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-06-03 18:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-06-03 17:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-06-03 16:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-06-03 15:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-06-03 14:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-06-03 13:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-06-03 12:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-06-03 11:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-06-03 10:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-06-03 09:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-06-03 08:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-06-03 07:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-06-03 06:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-06-03 05:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-06-03 04:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-06-03 03:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-06-03 02:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-06-03 01:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-06-03 00:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-06-02 23:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-06-02 22:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-06-02 21:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-06-02 20:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-06-02 19:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-06-02 18:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-06-02 17:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-06-02 16:00:00+00:00,London Westminster,pm25,9.0,µg/m³
+London,GB,2019-06-02 15:00:00+00:00,London Westminster,pm25,9.0,µg/m³
+London,GB,2019-06-02 14:00:00+00:00,London Westminster,pm25,9.0,µg/m³
+London,GB,2019-06-02 13:00:00+00:00,London Westminster,pm25,9.0,µg/m³
+London,GB,2019-06-02 12:00:00+00:00,London Westminster,pm25,9.0,µg/m³
+London,GB,2019-06-02 11:00:00+00:00,London Westminster,pm25,9.0,µg/m³
+London,GB,2019-06-02 10:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-06-02 09:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-06-02 08:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-06-02 07:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-06-02 06:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-06-02 05:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-06-02 04:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-06-02 03:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-06-02 02:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-06-02 01:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-06-02 00:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-06-01 23:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-06-01 22:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-06-01 21:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-06-01 20:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-06-01 19:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-06-01 18:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-06-01 17:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-06-01 16:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-06-01 15:00:00+00:00,London Westminster,pm25,6.0,µg/m³
+London,GB,2019-06-01 14:00:00+00:00,London Westminster,pm25,6.0,µg/m³
+London,GB,2019-06-01 13:00:00+00:00,London Westminster,pm25,6.0,µg/m³
+London,GB,2019-06-01 12:00:00+00:00,London Westminster,pm25,6.0,µg/m³
+London,GB,2019-06-01 11:00:00+00:00,London Westminster,pm25,6.0,µg/m³
+London,GB,2019-06-01 10:00:00+00:00,London Westminster,pm25,6.0,µg/m³
+London,GB,2019-06-01 09:00:00+00:00,London Westminster,pm25,6.0,µg/m³
+London,GB,2019-06-01 08:00:00+00:00,London Westminster,pm25,6.0,µg/m³
+London,GB,2019-06-01 07:00:00+00:00,London Westminster,pm25,6.0,µg/m³
+London,GB,2019-06-01 06:00:00+00:00,London Westminster,pm25,6.0,µg/m³
+London,GB,2019-06-01 05:00:00+00:00,London Westminster,pm25,6.0,µg/m³
+London,GB,2019-06-01 04:00:00+00:00,London Westminster,pm25,6.0,µg/m³
+London,GB,2019-06-01 03:00:00+00:00,London Westminster,pm25,6.0,µg/m³
+London,GB,2019-06-01 02:00:00+00:00,London Westminster,pm25,6.0,µg/m³
+London,GB,2019-06-01 01:00:00+00:00,London Westminster,pm25,6.0,µg/m³
+London,GB,2019-06-01 00:00:00+00:00,London Westminster,pm25,6.0,µg/m³
+London,GB,2019-05-31 23:00:00+00:00,London Westminster,pm25,6.0,µg/m³
+London,GB,2019-05-31 22:00:00+00:00,London Westminster,pm25,5.0,µg/m³
+London,GB,2019-05-31 21:00:00+00:00,London Westminster,pm25,6.0,µg/m³
+London,GB,2019-05-31 20:00:00+00:00,London Westminster,pm25,6.0,µg/m³
+London,GB,2019-05-31 19:00:00+00:00,London Westminster,pm25,6.0,µg/m³
+London,GB,2019-05-31 18:00:00+00:00,London Westminster,pm25,6.0,µg/m³
+London,GB,2019-05-31 17:00:00+00:00,London Westminster,pm25,6.0,µg/m³
+London,GB,2019-05-31 16:00:00+00:00,London Westminster,pm25,6.0,µg/m³
+London,GB,2019-05-31 15:00:00+00:00,London Westminster,pm25,6.0,µg/m³
+London,GB,2019-05-31 14:00:00+00:00,London Westminster,pm25,6.0,µg/m³
+London,GB,2019-05-31 13:00:00+00:00,London Westminster,pm25,6.0,µg/m³
+London,GB,2019-05-31 12:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-05-31 11:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-05-31 10:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-05-31 09:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-05-31 08:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-05-31 07:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-05-31 06:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-05-31 05:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-05-31 04:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-05-31 03:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-05-31 02:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-05-31 01:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-05-31 00:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-05-30 23:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-05-30 22:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-05-30 21:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-05-30 20:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-05-30 19:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-05-30 18:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-05-30 17:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-05-30 16:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-05-30 15:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-05-30 14:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-05-30 13:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-05-30 12:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-05-30 11:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-05-30 10:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-05-30 09:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-05-30 08:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-05-30 07:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-05-30 06:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-05-30 05:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-05-30 04:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-05-30 03:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-05-30 02:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-05-30 01:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-05-30 00:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-05-29 23:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-05-29 22:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-05-29 21:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-05-29 20:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-05-29 19:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-05-29 18:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-05-29 17:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-05-29 16:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-05-29 15:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-05-29 14:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-05-29 13:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-05-29 12:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-05-29 11:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-05-29 10:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-05-29 09:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-05-29 08:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-05-29 07:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-05-29 06:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-05-29 05:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-05-29 04:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-05-29 03:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-05-29 02:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-05-29 01:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-05-29 00:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-05-28 23:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-05-28 21:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-05-28 20:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-05-28 19:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-05-28 18:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-05-28 17:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-05-28 16:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-05-28 15:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-05-28 14:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-05-28 13:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-05-28 12:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-05-28 11:00:00+00:00,London Westminster,pm25,6.0,µg/m³
+London,GB,2019-05-28 10:00:00+00:00,London Westminster,pm25,6.0,µg/m³
+London,GB,2019-05-28 09:00:00+00:00,London Westminster,pm25,6.0,µg/m³
+London,GB,2019-05-28 08:00:00+00:00,London Westminster,pm25,6.0,µg/m³
+London,GB,2019-05-28 07:00:00+00:00,London Westminster,pm25,6.0,µg/m³
+London,GB,2019-05-28 06:00:00+00:00,London Westminster,pm25,6.0,µg/m³
+London,GB,2019-05-28 05:00:00+00:00,London Westminster,pm25,6.0,µg/m³
+London,GB,2019-05-28 04:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-05-28 03:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-05-28 02:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-05-28 01:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-05-28 00:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-05-27 23:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-05-27 22:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-05-27 21:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-05-27 20:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-05-27 19:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-05-27 18:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-05-27 17:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-05-27 16:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-05-27 15:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-05-27 14:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-05-27 13:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-05-27 12:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-05-27 11:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-05-27 10:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-05-27 09:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-05-27 08:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-05-27 07:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-05-27 06:00:00+00:00,London Westminster,pm25,6.0,µg/m³
+London,GB,2019-05-27 05:00:00+00:00,London Westminster,pm25,6.0,µg/m³
+London,GB,2019-05-27 04:00:00+00:00,London Westminster,pm25,6.0,µg/m³
+London,GB,2019-05-27 03:00:00+00:00,London Westminster,pm25,6.0,µg/m³
+London,GB,2019-05-27 02:00:00+00:00,London Westminster,pm25,6.0,µg/m³
+London,GB,2019-05-27 01:00:00+00:00,London Westminster,pm25,6.0,µg/m³
+London,GB,2019-05-27 00:00:00+00:00,London Westminster,pm25,6.0,µg/m³
+London,GB,2019-05-26 23:00:00+00:00,London Westminster,pm25,6.0,µg/m³
+London,GB,2019-05-26 22:00:00+00:00,London Westminster,pm25,6.0,µg/m³
+London,GB,2019-05-26 21:00:00+00:00,London Westminster,pm25,6.0,µg/m³
+London,GB,2019-05-26 20:00:00+00:00,London Westminster,pm25,6.0,µg/m³
+London,GB,2019-05-26 19:00:00+00:00,London Westminster,pm25,6.0,µg/m³
+London,GB,2019-05-26 18:00:00+00:00,London Westminster,pm25,6.0,µg/m³
+London,GB,2019-05-26 17:00:00+00:00,London Westminster,pm25,6.0,µg/m³
+London,GB,2019-05-26 16:00:00+00:00,London Westminster,pm25,6.0,µg/m³
+London,GB,2019-05-26 15:00:00+00:00,London Westminster,pm25,6.0,µg/m³
+London,GB,2019-05-26 14:00:00+00:00,London Westminster,pm25,6.0,µg/m³
+London,GB,2019-05-26 13:00:00+00:00,London Westminster,pm25,6.0,µg/m³
+London,GB,2019-05-26 12:00:00+00:00,London Westminster,pm25,6.0,µg/m³
+London,GB,2019-05-26 11:00:00+00:00,London Westminster,pm25,6.0,µg/m³
+London,GB,2019-05-26 10:00:00+00:00,London Westminster,pm25,6.0,µg/m³
+London,GB,2019-05-26 09:00:00+00:00,London Westminster,pm25,6.0,µg/m³
+London,GB,2019-05-26 08:00:00+00:00,London Westminster,pm25,6.0,µg/m³
+London,GB,2019-05-26 07:00:00+00:00,London Westminster,pm25,6.0,µg/m³
+London,GB,2019-05-26 06:00:00+00:00,London Westminster,pm25,6.0,µg/m³
+London,GB,2019-05-26 05:00:00+00:00,London Westminster,pm25,6.0,µg/m³
+London,GB,2019-05-26 04:00:00+00:00,London Westminster,pm25,6.0,µg/m³
+London,GB,2019-05-26 03:00:00+00:00,London Westminster,pm25,6.0,µg/m³
+London,GB,2019-05-26 02:00:00+00:00,London Westminster,pm25,6.0,µg/m³
+London,GB,2019-05-26 01:00:00+00:00,London Westminster,pm25,6.0,µg/m³
+London,GB,2019-05-26 00:00:00+00:00,London Westminster,pm25,6.0,µg/m³
+London,GB,2019-05-25 23:00:00+00:00,London Westminster,pm25,6.0,µg/m³
+London,GB,2019-05-25 22:00:00+00:00,London Westminster,pm25,6.0,µg/m³
+London,GB,2019-05-25 21:00:00+00:00,London Westminster,pm25,6.0,µg/m³
+London,GB,2019-05-25 20:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-05-25 19:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-05-25 18:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-05-25 17:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-05-25 16:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-05-25 15:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-05-25 14:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-05-25 13:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-05-25 12:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-05-25 11:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-05-25 10:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-05-25 09:00:00+00:00,London Westminster,pm25,9.0,µg/m³
+London,GB,2019-05-25 08:00:00+00:00,London Westminster,pm25,9.0,µg/m³
+London,GB,2019-05-25 07:00:00+00:00,London Westminster,pm25,9.0,µg/m³
+London,GB,2019-05-25 06:00:00+00:00,London Westminster,pm25,9.0,µg/m³
+London,GB,2019-05-25 05:00:00+00:00,London Westminster,pm25,9.0,µg/m³
+London,GB,2019-05-25 04:00:00+00:00,London Westminster,pm25,9.0,µg/m³
+London,GB,2019-05-25 03:00:00+00:00,London Westminster,pm25,10.0,µg/m³
+London,GB,2019-05-25 02:00:00+00:00,London Westminster,pm25,10.0,µg/m³
+London,GB,2019-05-25 01:00:00+00:00,London Westminster,pm25,10.0,µg/m³
+London,GB,2019-05-25 00:00:00+00:00,London Westminster,pm25,10.0,µg/m³
+London,GB,2019-05-24 23:00:00+00:00,London Westminster,pm25,10.0,µg/m³
+London,GB,2019-05-24 22:00:00+00:00,London Westminster,pm25,10.0,µg/m³
+London,GB,2019-05-24 21:00:00+00:00,London Westminster,pm25,9.0,µg/m³
+London,GB,2019-05-24 20:00:00+00:00,London Westminster,pm25,9.0,µg/m³
+London,GB,2019-05-24 19:00:00+00:00,London Westminster,pm25,9.0,µg/m³
+London,GB,2019-05-24 18:00:00+00:00,London Westminster,pm25,9.0,µg/m³
+London,GB,2019-05-24 17:00:00+00:00,London Westminster,pm25,9.0,µg/m³
+London,GB,2019-05-24 16:00:00+00:00,London Westminster,pm25,9.0,µg/m³
+London,GB,2019-05-24 15:00:00+00:00,London Westminster,pm25,9.0,µg/m³
+London,GB,2019-05-24 14:00:00+00:00,London Westminster,pm25,9.0,µg/m³
+London,GB,2019-05-24 13:00:00+00:00,London Westminster,pm25,9.0,µg/m³
+London,GB,2019-05-24 12:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-05-24 11:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-05-24 10:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-05-24 09:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-05-24 08:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-05-24 07:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-05-24 06:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-05-24 05:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-05-24 04:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-05-24 03:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-05-24 02:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-05-24 00:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-05-23 23:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-05-23 22:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-05-23 21:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-05-23 20:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-05-23 19:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-05-23 18:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-05-23 17:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-05-23 16:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-05-23 15:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-05-23 14:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-05-23 13:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-05-23 12:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-05-23 11:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-05-23 10:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-05-23 09:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-05-23 08:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-05-23 07:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-05-23 06:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-05-23 05:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-05-23 04:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-05-23 03:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-05-23 02:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-05-23 01:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-05-23 00:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-05-22 23:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-05-22 22:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-05-22 21:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-05-22 20:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-05-22 19:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-05-22 18:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-05-22 17:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-05-22 16:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-05-22 15:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-05-22 14:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-05-22 13:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-05-22 12:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-05-22 11:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-05-22 10:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-05-22 09:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-05-22 08:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-05-22 07:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-05-22 06:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-05-22 05:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-05-22 04:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-05-22 03:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-05-22 02:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-05-22 01:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-05-22 00:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-05-21 23:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-05-21 22:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-05-21 21:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-05-21 20:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-05-21 19:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-05-21 18:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-05-21 17:00:00+00:00,London Westminster,pm25,9.0,µg/m³
+London,GB,2019-05-21 16:00:00+00:00,London Westminster,pm25,9.0,µg/m³
+London,GB,2019-05-21 15:00:00+00:00,London Westminster,pm25,9.0,µg/m³
+London,GB,2019-05-21 14:00:00+00:00,London Westminster,pm25,9.0,µg/m³
+London,GB,2019-05-21 13:00:00+00:00,London Westminster,pm25,9.0,µg/m³
+London,GB,2019-05-21 12:00:00+00:00,London Westminster,pm25,9.0,µg/m³
+London,GB,2019-05-21 11:00:00+00:00,London Westminster,pm25,9.0,µg/m³
+London,GB,2019-05-21 10:00:00+00:00,London Westminster,pm25,10.0,µg/m³
+London,GB,2019-05-21 09:00:00+00:00,London Westminster,pm25,10.0,µg/m³
+London,GB,2019-05-21 08:00:00+00:00,London Westminster,pm25,10.0,µg/m³
+London,GB,2019-05-21 07:00:00+00:00,London Westminster,pm25,11.0,µg/m³
+London,GB,2019-05-21 06:00:00+00:00,London Westminster,pm25,11.0,µg/m³
+London,GB,2019-05-21 05:00:00+00:00,London Westminster,pm25,11.0,µg/m³
+London,GB,2019-05-21 04:00:00+00:00,London Westminster,pm25,12.0,µg/m³
+London,GB,2019-05-21 03:00:00+00:00,London Westminster,pm25,12.0,µg/m³
+London,GB,2019-05-21 02:00:00+00:00,London Westminster,pm25,13.0,µg/m³
+London,GB,2019-05-21 01:00:00+00:00,London Westminster,pm25,13.0,µg/m³
+London,GB,2019-05-21 00:00:00+00:00,London Westminster,pm25,14.0,µg/m³
+London,GB,2019-05-20 23:00:00+00:00,London Westminster,pm25,14.0,µg/m³
+London,GB,2019-05-20 22:00:00+00:00,London Westminster,pm25,14.0,µg/m³
+London,GB,2019-05-20 21:00:00+00:00,London Westminster,pm25,14.0,µg/m³
+London,GB,2019-05-20 20:00:00+00:00,London Westminster,pm25,14.0,µg/m³
+London,GB,2019-05-20 19:00:00+00:00,London Westminster,pm25,14.0,µg/m³
+London,GB,2019-05-20 18:00:00+00:00,London Westminster,pm25,14.0,µg/m³
+London,GB,2019-05-20 17:00:00+00:00,London Westminster,pm25,15.0,µg/m³
+London,GB,2019-05-20 16:00:00+00:00,London Westminster,pm25,15.0,µg/m³
+London,GB,2019-05-20 15:00:00+00:00,London Westminster,pm25,16.0,µg/m³
+London,GB,2019-05-20 14:00:00+00:00,London Westminster,pm25,16.0,µg/m³
+London,GB,2019-05-20 13:00:00+00:00,London Westminster,pm25,16.0,µg/m³
+London,GB,2019-05-20 12:00:00+00:00,London Westminster,pm25,16.0,µg/m³
+London,GB,2019-05-20 11:00:00+00:00,London Westminster,pm25,16.0,µg/m³
+London,GB,2019-05-20 10:00:00+00:00,London Westminster,pm25,17.0,µg/m³
+London,GB,2019-05-20 09:00:00+00:00,London Westminster,pm25,16.0,µg/m³
+London,GB,2019-05-20 08:00:00+00:00,London Westminster,pm25,17.0,µg/m³
+London,GB,2019-05-20 07:00:00+00:00,London Westminster,pm25,17.0,µg/m³
+London,GB,2019-05-20 06:00:00+00:00,London Westminster,pm25,18.0,µg/m³
+London,GB,2019-05-20 05:00:00+00:00,London Westminster,pm25,18.0,µg/m³
+London,GB,2019-05-20 04:00:00+00:00,London Westminster,pm25,19.0,µg/m³
+London,GB,2019-05-20 03:00:00+00:00,London Westminster,pm25,19.0,µg/m³
+London,GB,2019-05-20 02:00:00+00:00,London Westminster,pm25,19.0,µg/m³
+London,GB,2019-05-20 01:00:00+00:00,London Westminster,pm25,19.0,µg/m³
+London,GB,2019-05-20 00:00:00+00:00,London Westminster,pm25,19.0,µg/m³
+London,GB,2019-05-19 23:00:00+00:00,London Westminster,pm25,19.0,µg/m³
+London,GB,2019-05-19 22:00:00+00:00,London Westminster,pm25,20.0,µg/m³
+London,GB,2019-05-19 21:00:00+00:00,London Westminster,pm25,20.0,µg/m³
+London,GB,2019-05-19 20:00:00+00:00,London Westminster,pm25,20.0,µg/m³
+London,GB,2019-05-19 19:00:00+00:00,London Westminster,pm25,20.0,µg/m³
+London,GB,2019-05-19 18:00:00+00:00,London Westminster,pm25,19.0,µg/m³
+London,GB,2019-05-19 17:00:00+00:00,London Westminster,pm25,20.0,µg/m³
+London,GB,2019-05-19 16:00:00+00:00,London Westminster,pm25,20.0,µg/m³
+London,GB,2019-05-19 15:00:00+00:00,London Westminster,pm25,19.0,µg/m³
+London,GB,2019-05-19 14:00:00+00:00,London Westminster,pm25,19.0,µg/m³
+London,GB,2019-05-19 13:00:00+00:00,London Westminster,pm25,19.0,µg/m³
+London,GB,2019-05-19 12:00:00+00:00,London Westminster,pm25,19.0,µg/m³
+London,GB,2019-05-19 11:00:00+00:00,London Westminster,pm25,19.0,µg/m³
+London,GB,2019-05-19 10:00:00+00:00,London Westminster,pm25,19.0,µg/m³
+London,GB,2019-05-19 09:00:00+00:00,London Westminster,pm25,19.0,µg/m³
+London,GB,2019-05-19 08:00:00+00:00,London Westminster,pm25,19.0,µg/m³
+London,GB,2019-05-19 07:00:00+00:00,London Westminster,pm25,19.0,µg/m³
+London,GB,2019-05-19 06:00:00+00:00,London Westminster,pm25,19.0,µg/m³
+London,GB,2019-05-19 05:00:00+00:00,London Westminster,pm25,18.0,µg/m³
+London,GB,2019-05-19 04:00:00+00:00,London Westminster,pm25,18.0,µg/m³
+London,GB,2019-05-19 03:00:00+00:00,London Westminster,pm25,18.0,µg/m³
+London,GB,2019-05-19 02:00:00+00:00,London Westminster,pm25,18.0,µg/m³
+London,GB,2019-05-19 01:00:00+00:00,London Westminster,pm25,18.0,µg/m³
+London,GB,2019-05-19 00:00:00+00:00,London Westminster,pm25,18.0,µg/m³
+London,GB,2019-05-18 23:00:00+00:00,London Westminster,pm25,18.0,µg/m³
+London,GB,2019-05-18 22:00:00+00:00,London Westminster,pm25,18.0,µg/m³
+London,GB,2019-05-18 21:00:00+00:00,London Westminster,pm25,18.0,µg/m³
+London,GB,2019-05-18 20:00:00+00:00,London Westminster,pm25,18.0,µg/m³
+London,GB,2019-05-18 19:00:00+00:00,London Westminster,pm25,18.0,µg/m³
+London,GB,2019-05-18 18:00:00+00:00,London Westminster,pm25,18.0,µg/m³
+London,GB,2019-05-18 17:00:00+00:00,London Westminster,pm25,18.0,µg/m³
+London,GB,2019-05-18 16:00:00+00:00,London Westminster,pm25,17.0,µg/m³
+London,GB,2019-05-18 15:00:00+00:00,London Westminster,pm25,17.0,µg/m³
+London,GB,2019-05-18 14:00:00+00:00,London Westminster,pm25,17.0,µg/m³
+London,GB,2019-05-18 13:00:00+00:00,London Westminster,pm25,17.0,µg/m³
+London,GB,2019-05-18 12:00:00+00:00,London Westminster,pm25,17.0,µg/m³
+London,GB,2019-05-18 11:00:00+00:00,London Westminster,pm25,17.0,µg/m³
+London,GB,2019-05-18 10:00:00+00:00,London Westminster,pm25,17.0,µg/m³
+London,GB,2019-05-18 09:00:00+00:00,London Westminster,pm25,16.0,µg/m³
+London,GB,2019-05-18 08:00:00+00:00,London Westminster,pm25,16.0,µg/m³
+London,GB,2019-05-18 07:00:00+00:00,London Westminster,pm25,15.0,µg/m³
+London,GB,2019-05-18 06:00:00+00:00,London Westminster,pm25,15.0,µg/m³
+London,GB,2019-05-18 05:00:00+00:00,London Westminster,pm25,14.0,µg/m³
+London,GB,2019-05-18 04:00:00+00:00,London Westminster,pm25,14.0,µg/m³
+London,GB,2019-05-18 03:00:00+00:00,London Westminster,pm25,14.0,µg/m³
+London,GB,2019-05-18 02:00:00+00:00,London Westminster,pm25,13.0,µg/m³
+London,GB,2019-05-18 01:00:00+00:00,London Westminster,pm25,12.0,µg/m³
+London,GB,2019-05-18 00:00:00+00:00,London Westminster,pm25,12.0,µg/m³
+London,GB,2019-05-17 23:00:00+00:00,London Westminster,pm25,12.0,µg/m³
+London,GB,2019-05-17 22:00:00+00:00,London Westminster,pm25,11.0,µg/m³
+London,GB,2019-05-17 21:00:00+00:00,London Westminster,pm25,11.0,µg/m³
+London,GB,2019-05-17 20:00:00+00:00,London Westminster,pm25,11.0,µg/m³
+London,GB,2019-05-17 19:00:00+00:00,London Westminster,pm25,11.0,µg/m³
+London,GB,2019-05-17 18:00:00+00:00,London Westminster,pm25,10.0,µg/m³
+London,GB,2019-05-17 17:00:00+00:00,London Westminster,pm25,10.0,µg/m³
+London,GB,2019-05-17 16:00:00+00:00,London Westminster,pm25,10.0,µg/m³
+London,GB,2019-05-17 15:00:00+00:00,London Westminster,pm25,10.0,µg/m³
+London,GB,2019-05-17 14:00:00+00:00,London Westminster,pm25,9.0,µg/m³
+London,GB,2019-05-17 13:00:00+00:00,London Westminster,pm25,9.0,µg/m³
+London,GB,2019-05-17 12:00:00+00:00,London Westminster,pm25,9.0,µg/m³
+London,GB,2019-05-17 11:00:00+00:00,London Westminster,pm25,9.0,µg/m³
+London,GB,2019-05-17 10:00:00+00:00,London Westminster,pm25,9.0,µg/m³
+London,GB,2019-05-17 09:00:00+00:00,London Westminster,pm25,9.0,µg/m³
+London,GB,2019-05-17 08:00:00+00:00,London Westminster,pm25,10.0,µg/m³
+London,GB,2019-05-17 07:00:00+00:00,London Westminster,pm25,10.0,µg/m³
+London,GB,2019-05-17 06:00:00+00:00,London Westminster,pm25,10.0,µg/m³
+London,GB,2019-05-17 05:00:00+00:00,London Westminster,pm25,10.0,µg/m³
+London,GB,2019-05-17 04:00:00+00:00,London Westminster,pm25,10.0,µg/m³
+London,GB,2019-05-17 03:00:00+00:00,London Westminster,pm25,10.0,µg/m³
+London,GB,2019-05-17 02:00:00+00:00,London Westminster,pm25,10.0,µg/m³
+London,GB,2019-05-17 01:00:00+00:00,London Westminster,pm25,11.0,µg/m³
+London,GB,2019-05-17 00:00:00+00:00,London Westminster,pm25,11.0,µg/m³
+London,GB,2019-05-16 23:00:00+00:00,London Westminster,pm25,11.0,µg/m³
+London,GB,2019-05-16 22:00:00+00:00,London Westminster,pm25,12.0,µg/m³
+London,GB,2019-05-16 21:00:00+00:00,London Westminster,pm25,12.0,µg/m³
+London,GB,2019-05-16 20:00:00+00:00,London Westminster,pm25,13.0,µg/m³
+London,GB,2019-05-16 19:00:00+00:00,London Westminster,pm25,13.0,µg/m³
+London,GB,2019-05-16 18:00:00+00:00,London Westminster,pm25,13.0,µg/m³
+London,GB,2019-05-16 17:00:00+00:00,London Westminster,pm25,13.0,µg/m³
+London,GB,2019-05-16 16:00:00+00:00,London Westminster,pm25,14.0,µg/m³
+London,GB,2019-05-16 15:00:00+00:00,London Westminster,pm25,14.0,µg/m³
+London,GB,2019-05-16 14:00:00+00:00,London Westminster,pm25,14.0,µg/m³
+London,GB,2019-05-16 13:00:00+00:00,London Westminster,pm25,15.0,µg/m³
+London,GB,2019-05-16 12:00:00+00:00,London Westminster,pm25,15.0,µg/m³
+London,GB,2019-05-16 11:00:00+00:00,London Westminster,pm25,15.0,µg/m³
+London,GB,2019-05-16 10:00:00+00:00,London Westminster,pm25,15.0,µg/m³
+London,GB,2019-05-16 09:00:00+00:00,London Westminster,pm25,15.0,µg/m³
+London,GB,2019-05-16 08:00:00+00:00,London Westminster,pm25,15.0,µg/m³
+London,GB,2019-05-16 07:00:00+00:00,London Westminster,pm25,15.0,µg/m³
+London,GB,2019-05-16 06:00:00+00:00,London Westminster,pm25,15.0,µg/m³
+London,GB,2019-05-16 05:00:00+00:00,London Westminster,pm25,15.0,µg/m³
+London,GB,2019-05-16 04:00:00+00:00,London Westminster,pm25,15.0,µg/m³
+London,GB,2019-05-16 03:00:00+00:00,London Westminster,pm25,15.0,µg/m³
+London,GB,2019-05-16 02:00:00+00:00,London Westminster,pm25,14.0,µg/m³
+London,GB,2019-05-16 01:00:00+00:00,London Westminster,pm25,14.0,µg/m³
+London,GB,2019-05-16 00:00:00+00:00,London Westminster,pm25,14.0,µg/m³
+London,GB,2019-05-15 23:00:00+00:00,London Westminster,pm25,14.0,µg/m³
+London,GB,2019-05-15 22:00:00+00:00,London Westminster,pm25,13.0,µg/m³
+London,GB,2019-05-15 21:00:00+00:00,London Westminster,pm25,13.0,µg/m³
+London,GB,2019-05-15 20:00:00+00:00,London Westminster,pm25,13.0,µg/m³
+London,GB,2019-05-15 19:00:00+00:00,London Westminster,pm25,12.0,µg/m³
+London,GB,2019-05-15 18:00:00+00:00,London Westminster,pm25,12.0,µg/m³
+London,GB,2019-05-15 17:00:00+00:00,London Westminster,pm25,12.0,µg/m³
+London,GB,2019-05-15 16:00:00+00:00,London Westminster,pm25,12.0,µg/m³
+London,GB,2019-05-15 15:00:00+00:00,London Westminster,pm25,11.0,µg/m³
+London,GB,2019-05-15 14:00:00+00:00,London Westminster,pm25,11.0,µg/m³
+London,GB,2019-05-15 13:00:00+00:00,London Westminster,pm25,11.0,µg/m³
+London,GB,2019-05-15 12:00:00+00:00,London Westminster,pm25,11.0,µg/m³
+London,GB,2019-05-15 11:00:00+00:00,London Westminster,pm25,10.0,µg/m³
+London,GB,2019-05-15 10:00:00+00:00,London Westminster,pm25,10.0,µg/m³
+London,GB,2019-05-15 09:00:00+00:00,London Westminster,pm25,10.0,µg/m³
+London,GB,2019-05-15 08:00:00+00:00,London Westminster,pm25,9.0,µg/m³
+London,GB,2019-05-15 07:00:00+00:00,London Westminster,pm25,9.0,µg/m³
+London,GB,2019-05-15 06:00:00+00:00,London Westminster,pm25,9.0,µg/m³
+London,GB,2019-05-15 05:00:00+00:00,London Westminster,pm25,9.0,µg/m³
+London,GB,2019-05-15 04:00:00+00:00,London Westminster,pm25,9.0,µg/m³
+London,GB,2019-05-15 03:00:00+00:00,London Westminster,pm25,9.0,µg/m³
+London,GB,2019-05-15 02:00:00+00:00,London Westminster,pm25,9.0,µg/m³
+London,GB,2019-05-15 00:00:00+00:00,London Westminster,pm25,9.0,µg/m³
+London,GB,2019-05-14 23:00:00+00:00,London Westminster,pm25,9.0,µg/m³
+London,GB,2019-05-14 22:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-05-14 21:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-05-14 20:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-05-14 19:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-05-14 18:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-05-14 17:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-05-14 16:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-05-14 15:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-05-14 14:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-05-14 13:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-05-14 12:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-05-14 11:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-05-14 10:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-05-14 09:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-05-14 08:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-05-14 07:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-05-14 06:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-05-14 05:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-05-14 04:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-05-14 03:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-05-14 02:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-05-14 01:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-05-14 00:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-05-13 23:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-05-13 22:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-05-13 21:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-05-13 20:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-05-13 19:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-05-13 18:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-05-13 17:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-05-13 16:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-05-13 15:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-05-13 14:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-05-13 13:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-05-13 12:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-05-13 11:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-05-13 10:00:00+00:00,London Westminster,pm25,6.0,µg/m³
+London,GB,2019-05-13 09:00:00+00:00,London Westminster,pm25,6.0,µg/m³
+London,GB,2019-05-13 08:00:00+00:00,London Westminster,pm25,6.0,µg/m³
+London,GB,2019-05-13 07:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-05-13 06:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-05-13 05:00:00+00:00,London Westminster,pm25,7.0,µg/m³
+London,GB,2019-05-13 04:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-05-13 03:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-05-13 02:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-05-13 01:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-05-13 00:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-05-12 23:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-05-12 22:00:00+00:00,London Westminster,pm25,9.0,µg/m³
+London,GB,2019-05-12 21:00:00+00:00,London Westminster,pm25,9.0,µg/m³
+London,GB,2019-05-12 20:00:00+00:00,London Westminster,pm25,9.0,µg/m³
+London,GB,2019-05-12 19:00:00+00:00,London Westminster,pm25,9.0,µg/m³
+London,GB,2019-05-12 18:00:00+00:00,London Westminster,pm25,9.0,µg/m³
+London,GB,2019-05-12 17:00:00+00:00,London Westminster,pm25,9.0,µg/m³
+London,GB,2019-05-12 16:00:00+00:00,London Westminster,pm25,9.0,µg/m³
+London,GB,2019-05-12 15:00:00+00:00,London Westminster,pm25,9.0,µg/m³
+London,GB,2019-05-12 14:00:00+00:00,London Westminster,pm25,9.0,µg/m³
+London,GB,2019-05-12 13:00:00+00:00,London Westminster,pm25,10.0,µg/m³
+London,GB,2019-05-12 12:00:00+00:00,London Westminster,pm25,10.0,µg/m³
+London,GB,2019-05-12 11:00:00+00:00,London Westminster,pm25,10.0,µg/m³
+London,GB,2019-05-12 10:00:00+00:00,London Westminster,pm25,11.0,µg/m³
+London,GB,2019-05-12 09:00:00+00:00,London Westminster,pm25,11.0,µg/m³
+London,GB,2019-05-12 08:00:00+00:00,London Westminster,pm25,11.0,µg/m³
+London,GB,2019-05-12 07:00:00+00:00,London Westminster,pm25,11.0,µg/m³
+London,GB,2019-05-12 06:00:00+00:00,London Westminster,pm25,12.0,µg/m³
+London,GB,2019-05-12 05:00:00+00:00,London Westminster,pm25,12.0,µg/m³
+London,GB,2019-05-12 04:00:00+00:00,London Westminster,pm25,12.0,µg/m³
+London,GB,2019-05-12 03:00:00+00:00,London Westminster,pm25,13.0,µg/m³
+London,GB,2019-05-12 02:00:00+00:00,London Westminster,pm25,13.0,µg/m³
+London,GB,2019-05-12 01:00:00+00:00,London Westminster,pm25,13.0,µg/m³
+London,GB,2019-05-12 00:00:00+00:00,London Westminster,pm25,14.0,µg/m³
+London,GB,2019-05-11 23:00:00+00:00,London Westminster,pm25,14.0,µg/m³
+London,GB,2019-05-11 22:00:00+00:00,London Westminster,pm25,13.0,µg/m³
+London,GB,2019-05-11 21:00:00+00:00,London Westminster,pm25,13.0,µg/m³
+London,GB,2019-05-11 20:00:00+00:00,London Westminster,pm25,13.0,µg/m³
+London,GB,2019-05-11 19:00:00+00:00,London Westminster,pm25,13.0,µg/m³
+London,GB,2019-05-11 18:00:00+00:00,London Westminster,pm25,13.0,µg/m³
+London,GB,2019-05-11 17:00:00+00:00,London Westminster,pm25,13.0,µg/m³
+London,GB,2019-05-11 16:00:00+00:00,London Westminster,pm25,13.0,µg/m³
+London,GB,2019-05-11 15:00:00+00:00,London Westminster,pm25,14.0,µg/m³
+London,GB,2019-05-11 09:00:00+00:00,London Westminster,pm25,13.0,µg/m³
+London,GB,2019-05-11 08:00:00+00:00,London Westminster,pm25,13.0,µg/m³
+London,GB,2019-05-11 07:00:00+00:00,London Westminster,pm25,13.0,µg/m³
+London,GB,2019-05-11 06:00:00+00:00,London Westminster,pm25,12.0,µg/m³
+London,GB,2019-05-11 05:00:00+00:00,London Westminster,pm25,12.0,µg/m³
+London,GB,2019-05-11 04:00:00+00:00,London Westminster,pm25,11.0,µg/m³
+London,GB,2019-05-11 03:00:00+00:00,London Westminster,pm25,11.0,µg/m³
+London,GB,2019-05-11 02:00:00+00:00,London Westminster,pm25,11.0,µg/m³
+London,GB,2019-05-11 01:00:00+00:00,London Westminster,pm25,10.0,µg/m³
+London,GB,2019-05-11 00:00:00+00:00,London Westminster,pm25,10.0,µg/m³
+London,GB,2019-05-10 23:00:00+00:00,London Westminster,pm25,10.0,µg/m³
+London,GB,2019-05-10 22:00:00+00:00,London Westminster,pm25,11.0,µg/m³
+London,GB,2019-05-10 21:00:00+00:00,London Westminster,pm25,11.0,µg/m³
+London,GB,2019-05-10 20:00:00+00:00,London Westminster,pm25,11.0,µg/m³
+London,GB,2019-05-10 19:00:00+00:00,London Westminster,pm25,11.0,µg/m³
+London,GB,2019-05-10 18:00:00+00:00,London Westminster,pm25,12.0,µg/m³
+London,GB,2019-05-10 17:00:00+00:00,London Westminster,pm25,12.0,µg/m³
+London,GB,2019-05-10 16:00:00+00:00,London Westminster,pm25,12.0,µg/m³
+London,GB,2019-05-10 15:00:00+00:00,London Westminster,pm25,12.0,µg/m³
+London,GB,2019-05-10 14:00:00+00:00,London Westminster,pm25,12.0,µg/m³
+London,GB,2019-05-10 13:00:00+00:00,London Westminster,pm25,12.0,µg/m³
+London,GB,2019-05-10 12:00:00+00:00,London Westminster,pm25,12.0,µg/m³
+London,GB,2019-05-10 11:00:00+00:00,London Westminster,pm25,12.0,µg/m³
+London,GB,2019-05-10 10:00:00+00:00,London Westminster,pm25,13.0,µg/m³
+London,GB,2019-05-10 09:00:00+00:00,London Westminster,pm25,12.0,µg/m³
+London,GB,2019-05-10 08:00:00+00:00,London Westminster,pm25,12.0,µg/m³
+London,GB,2019-05-10 07:00:00+00:00,London Westminster,pm25,12.0,µg/m³
+London,GB,2019-05-10 06:00:00+00:00,London Westminster,pm25,12.0,µg/m³
+London,GB,2019-05-10 05:00:00+00:00,London Westminster,pm25,12.0,µg/m³
+London,GB,2019-05-10 04:00:00+00:00,London Westminster,pm25,12.0,µg/m³
+London,GB,2019-05-10 03:00:00+00:00,London Westminster,pm25,12.0,µg/m³
+London,GB,2019-05-10 02:00:00+00:00,London Westminster,pm25,12.0,µg/m³
+London,GB,2019-05-10 01:00:00+00:00,London Westminster,pm25,11.0,µg/m³
+London,GB,2019-05-10 00:00:00+00:00,London Westminster,pm25,11.0,µg/m³
+London,GB,2019-05-09 23:00:00+00:00,London Westminster,pm25,12.0,µg/m³
+London,GB,2019-05-09 22:00:00+00:00,London Westminster,pm25,11.0,µg/m³
+London,GB,2019-05-09 21:00:00+00:00,London Westminster,pm25,11.0,µg/m³
+London,GB,2019-05-09 20:00:00+00:00,London Westminster,pm25,10.0,µg/m³
+London,GB,2019-05-09 19:00:00+00:00,London Westminster,pm25,10.0,µg/m³
+London,GB,2019-05-09 18:00:00+00:00,London Westminster,pm25,10.0,µg/m³
+London,GB,2019-05-09 17:00:00+00:00,London Westminster,pm25,10.0,µg/m³
+London,GB,2019-05-09 16:00:00+00:00,London Westminster,pm25,10.0,µg/m³
+London,GB,2019-05-09 15:00:00+00:00,London Westminster,pm25,10.0,µg/m³
+London,GB,2019-05-09 14:00:00+00:00,London Westminster,pm25,10.0,µg/m³
+London,GB,2019-05-09 13:00:00+00:00,London Westminster,pm25,10.0,µg/m³
+London,GB,2019-05-09 12:00:00+00:00,London Westminster,pm25,10.0,µg/m³
+London,GB,2019-05-09 11:00:00+00:00,London Westminster,pm25,10.0,µg/m³
+London,GB,2019-05-09 10:00:00+00:00,London Westminster,pm25,9.0,µg/m³
+London,GB,2019-05-09 09:00:00+00:00,London Westminster,pm25,9.0,µg/m³
+London,GB,2019-05-09 08:00:00+00:00,London Westminster,pm25,9.0,µg/m³
+London,GB,2019-05-09 07:00:00+00:00,London Westminster,pm25,9.0,µg/m³
+London,GB,2019-05-09 06:00:00+00:00,London Westminster,pm25,9.0,µg/m³
+London,GB,2019-05-09 05:00:00+00:00,London Westminster,pm25,9.0,µg/m³
+London,GB,2019-05-09 04:00:00+00:00,London Westminster,pm25,9.0,µg/m³
+London,GB,2019-05-09 03:00:00+00:00,London Westminster,pm25,9.0,µg/m³
+London,GB,2019-05-09 02:00:00+00:00,London Westminster,pm25,9.0,µg/m³
+London,GB,2019-05-09 00:00:00+00:00,London Westminster,pm25,9.0,µg/m³
+London,GB,2019-05-08 23:00:00+00:00,London Westminster,pm25,9.0,µg/m³
+London,GB,2019-05-08 21:00:00+00:00,London Westminster,pm25,9.0,µg/m³
+London,GB,2019-05-08 20:00:00+00:00,London Westminster,pm25,9.0,µg/m³
+London,GB,2019-05-08 19:00:00+00:00,London Westminster,pm25,9.0,µg/m³
+London,GB,2019-05-08 18:00:00+00:00,London Westminster,pm25,9.0,µg/m³
+London,GB,2019-05-08 17:00:00+00:00,London Westminster,pm25,9.0,µg/m³
+London,GB,2019-05-08 16:00:00+00:00,London Westminster,pm25,9.0,µg/m³
+London,GB,2019-05-08 15:00:00+00:00,London Westminster,pm25,9.0,µg/m³
+London,GB,2019-05-08 14:00:00+00:00,London Westminster,pm25,10.0,µg/m³
+London,GB,2019-05-08 13:00:00+00:00,London Westminster,pm25,10.0,µg/m³
+London,GB,2019-05-08 12:00:00+00:00,London Westminster,pm25,10.0,µg/m³
+London,GB,2019-05-08 11:00:00+00:00,London Westminster,pm25,10.0,µg/m³
+London,GB,2019-05-08 10:00:00+00:00,London Westminster,pm25,10.0,µg/m³
+London,GB,2019-05-08 09:00:00+00:00,London Westminster,pm25,10.0,µg/m³
+London,GB,2019-05-08 08:00:00+00:00,London Westminster,pm25,10.0,µg/m³
+London,GB,2019-05-08 07:00:00+00:00,London Westminster,pm25,10.0,µg/m³
+London,GB,2019-05-08 06:00:00+00:00,London Westminster,pm25,10.0,µg/m³
+London,GB,2019-05-08 05:00:00+00:00,London Westminster,pm25,10.0,µg/m³
+London,GB,2019-05-08 04:00:00+00:00,London Westminster,pm25,11.0,µg/m³
+London,GB,2019-05-08 03:00:00+00:00,London Westminster,pm25,11.0,µg/m³
+London,GB,2019-05-08 02:00:00+00:00,London Westminster,pm25,10.0,µg/m³
+London,GB,2019-05-08 01:00:00+00:00,London Westminster,pm25,10.0,µg/m³
+London,GB,2019-05-08 00:00:00+00:00,London Westminster,pm25,10.0,µg/m³
+London,GB,2019-05-07 23:00:00+00:00,London Westminster,pm25,10.0,µg/m³
+London,GB,2019-05-07 21:00:00+00:00,London Westminster,pm25,10.0,µg/m³
+London,GB,2019-05-07 20:00:00+00:00,London Westminster,pm25,10.0,µg/m³
+London,GB,2019-05-07 19:00:00+00:00,London Westminster,pm25,11.0,µg/m³
+London,GB,2019-05-07 18:00:00+00:00,London Westminster,pm25,11.0,µg/m³
+London,GB,2019-05-07 17:00:00+00:00,London Westminster,pm25,10.0,µg/m³
+London,GB,2019-05-07 16:00:00+00:00,London Westminster,pm25,10.0,µg/m³
+London,GB,2019-05-07 15:00:00+00:00,London Westminster,pm25,10.0,µg/m³
+London,GB,2019-05-07 14:00:00+00:00,London Westminster,pm25,10.0,µg/m³
+London,GB,2019-05-07 13:00:00+00:00,London Westminster,pm25,10.0,µg/m³
+London,GB,2019-05-07 12:00:00+00:00,London Westminster,pm25,10.0,µg/m³
+London,GB,2019-05-07 11:00:00+00:00,London Westminster,pm25,10.0,µg/m³
+London,GB,2019-05-07 10:00:00+00:00,London Westminster,pm25,10.0,µg/m³
+London,GB,2019-05-07 09:00:00+00:00,London Westminster,pm25,10.0,µg/m³
+London,GB,2019-05-07 08:00:00+00:00,London Westminster,pm25,10.0,µg/m³
+London,GB,2019-05-07 07:00:00+00:00,London Westminster,pm25,9.0,µg/m³
+London,GB,2019-05-07 06:00:00+00:00,London Westminster,pm25,9.0,µg/m³
+London,GB,2019-05-07 04:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-05-07 03:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-05-07 02:00:00+00:00,London Westminster,pm25,8.0,µg/m³
+London,GB,2019-05-07 01:00:00+00:00,London Westminster,pm25,8.0,µg/m³
diff --git a/doc/data/air_quality_stations.csv b/doc/data/air_quality_stations.csv
new file mode 100644
index 0000000000000..9ab1a377dcdae
--- /dev/null
+++ b/doc/data/air_quality_stations.csv
@@ -0,0 +1,67 @@
+location,coordinates.latitude,coordinates.longitude
+BELAL01,51.23619,4.38522
+BELHB23,51.1703,4.341
+BELLD01,51.10998,5.00486
+BELLD02,51.12038,5.02155
+BELR833,51.32766,4.36226
+BELSA04,51.31393,4.40387
+BELWZ02,51.1928,5.22153
+BETM802,51.26099,4.4244
+BETN016,51.23365,5.16398
+BETR801,51.20966,4.43182
+BETR802,51.20952,4.43179
+BETR803,51.22863,4.42845
+BETR805,51.20823,4.42156
+BETR811,51.2521,4.49136
+BETR815,51.2147,4.33221
+BETR817,51.17713,4.41795
+BETR820,51.32042,4.44481
+BETR822,51.26429,4.34128
+BETR831,51.3488,4.33971
+BETR834,51.092,4.3801
+BETR891,51.25581,4.38536
+BETR893,51.28138,4.38577
+BETR894,51.2835,4.3495
+BETR897,51.25011,4.3421
+FR04004,48.89167,2.34667
+FR04012,48.82778,2.3275
+FR04014,48.83724,2.3939
+FR04014,48.83722,2.3939
+FR04031,48.86887,2.31194
+FR04031,48.86889,2.31194
+FR04037,48.82861,2.36028
+FR04060,48.8572,2.2933
+FR04071,48.8564,2.33528
+FR04071,48.85639,2.33528
+FR04118,48.87027,2.3325
+FR04118,48.87029,2.3325
+FR04131,48.87333,2.33028
+FR04135,48.83795,2.40806
+FR04135,48.83796,2.40806
+FR04141,48.85278,2.36056
+FR04141,48.85279,2.36056
+FR04143,48.859,2.351
+FR04143,48.85944,2.35111
+FR04179,48.83038,2.26989
+FR04329,48.8386,2.41279
+FR04329,48.83862,2.41278
+Camden Kerbside,51.54421,-0.17527
+Ealing Horn Lane,51.51895,-0.26562
+Haringey Roadside,51.5993,-0.06822
+London Bexley,51.46603,0.18481
+London Bloomsbury,51.52229,-0.12589
+London Eltham,51.45258,0.07077
+London Haringey Priory Park South,51.58413,-0.12525
+London Harlington,51.48879,-0.44161
+London Harrow Stanmore,51.61733,-0.29878
+London Hillingdon,51.49633,-0.46086
+London Marylebone Road,51.52253,-0.15461
+London N. Kensington,51.52105,-0.21349
+London Teddington,51.42099,-0.33965
+London Teddington Bushy Park,51.42529,-0.34561
+London Westminster,51.49467,-0.13193
+Southend-on-Sea,51.5442,0.67841
+Southwark A2 Old Kent Road,51.4805,-0.05955
+Thurrock,51.47707,0.31797
+Tower Hamlets Roadside,51.52253,-0.04216
+Groton Fort Griswold,41.3536,-72.0789
diff --git a/doc/data/titanic.csv b/doc/data/titanic.csv
new file mode 100644
index 0000000000000..5cc466e97cf12
--- /dev/null
+++ b/doc/data/titanic.csv
@@ -0,0 +1,892 @@
+PassengerId,Survived,Pclass,Name,Sex,Age,SibSp,Parch,Ticket,Fare,Cabin,Embarked
+1,0,3,"Braund, Mr. Owen Harris",male,22,1,0,A/5 21171,7.25,,S
+2,1,1,"Cumings, Mrs. John Bradley (Florence Briggs Thayer)",female,38,1,0,PC 17599,71.2833,C85,C
+3,1,3,"Heikkinen, Miss. Laina",female,26,0,0,STON/O2. 3101282,7.925,,S
+4,1,1,"Futrelle, Mrs. Jacques Heath (Lily May Peel)",female,35,1,0,113803,53.1,C123,S
+5,0,3,"Allen, Mr. William Henry",male,35,0,0,373450,8.05,,S
+6,0,3,"Moran, Mr. James",male,,0,0,330877,8.4583,,Q
+7,0,1,"McCarthy, Mr. Timothy J",male,54,0,0,17463,51.8625,E46,S
+8,0,3,"Palsson, Master. Gosta Leonard",male,2,3,1,349909,21.075,,S
+9,1,3,"Johnson, Mrs. Oscar W (Elisabeth Vilhelmina Berg)",female,27,0,2,347742,11.1333,,S
+10,1,2,"Nasser, Mrs. Nicholas (Adele Achem)",female,14,1,0,237736,30.0708,,C
+11,1,3,"Sandstrom, Miss. Marguerite Rut",female,4,1,1,PP 9549,16.7,G6,S
+12,1,1,"Bonnell, Miss. Elizabeth",female,58,0,0,113783,26.55,C103,S
+13,0,3,"Saundercock, Mr. William Henry",male,20,0,0,A/5. 2151,8.05,,S
+14,0,3,"Andersson, Mr. Anders Johan",male,39,1,5,347082,31.275,,S
+15,0,3,"Vestrom, Miss. Hulda Amanda Adolfina",female,14,0,0,350406,7.8542,,S
+16,1,2,"Hewlett, Mrs. (Mary D Kingcome) ",female,55,0,0,248706,16,,S
+17,0,3,"Rice, Master. Eugene",male,2,4,1,382652,29.125,,Q
+18,1,2,"Williams, Mr. Charles Eugene",male,,0,0,244373,13,,S
+19,0,3,"Vander Planke, Mrs. Julius (Emelia Maria Vandemoortele)",female,31,1,0,345763,18,,S
+20,1,3,"Masselmani, Mrs. Fatima",female,,0,0,2649,7.225,,C
+21,0,2,"Fynney, Mr. Joseph J",male,35,0,0,239865,26,,S
+22,1,2,"Beesley, Mr. Lawrence",male,34,0,0,248698,13,D56,S
+23,1,3,"McGowan, Miss. Anna ""Annie""",female,15,0,0,330923,8.0292,,Q
+24,1,1,"Sloper, Mr. William Thompson",male,28,0,0,113788,35.5,A6,S
+25,0,3,"Palsson, Miss. Torborg Danira",female,8,3,1,349909,21.075,,S
+26,1,3,"Asplund, Mrs. Carl Oscar (Selma Augusta Emilia Johansson)",female,38,1,5,347077,31.3875,,S
+27,0,3,"Emir, Mr. Farred Chehab",male,,0,0,2631,7.225,,C
+28,0,1,"Fortune, Mr. Charles Alexander",male,19,3,2,19950,263,C23 C25 C27,S
+29,1,3,"O'Dwyer, Miss. Ellen ""Nellie""",female,,0,0,330959,7.8792,,Q
+30,0,3,"Todoroff, Mr. Lalio",male,,0,0,349216,7.8958,,S
+31,0,1,"Uruchurtu, Don. Manuel E",male,40,0,0,PC 17601,27.7208,,C
+32,1,1,"Spencer, Mrs. William Augustus (Marie Eugenie)",female,,1,0,PC 17569,146.5208,B78,C
+33,1,3,"Glynn, Miss. Mary Agatha",female,,0,0,335677,7.75,,Q
+34,0,2,"Wheadon, Mr. Edward H",male,66,0,0,C.A. 24579,10.5,,S
+35,0,1,"Meyer, Mr. Edgar Joseph",male,28,1,0,PC 17604,82.1708,,C
+36,0,1,"Holverson, Mr. Alexander Oskar",male,42,1,0,113789,52,,S
+37,1,3,"Mamee, Mr. Hanna",male,,0,0,2677,7.2292,,C
+38,0,3,"Cann, Mr. Ernest Charles",male,21,0,0,A./5. 2152,8.05,,S
+39,0,3,"Vander Planke, Miss. Augusta Maria",female,18,2,0,345764,18,,S
+40,1,3,"Nicola-Yarred, Miss. Jamila",female,14,1,0,2651,11.2417,,C
+41,0,3,"Ahlin, Mrs. Johan (Johanna Persdotter Larsson)",female,40,1,0,7546,9.475,,S
+42,0,2,"Turpin, Mrs. William John Robert (Dorothy Ann Wonnacott)",female,27,1,0,11668,21,,S
+43,0,3,"Kraeff, Mr. Theodor",male,,0,0,349253,7.8958,,C
+44,1,2,"Laroche, Miss. Simonne Marie Anne Andree",female,3,1,2,SC/Paris 2123,41.5792,,C
+45,1,3,"Devaney, Miss. Margaret Delia",female,19,0,0,330958,7.8792,,Q
+46,0,3,"Rogers, Mr. William John",male,,0,0,S.C./A.4. 23567,8.05,,S
+47,0,3,"Lennon, Mr. Denis",male,,1,0,370371,15.5,,Q
+48,1,3,"O'Driscoll, Miss. Bridget",female,,0,0,14311,7.75,,Q
+49,0,3,"Samaan, Mr. Youssef",male,,2,0,2662,21.6792,,C
+50,0,3,"Arnold-Franchi, Mrs. Josef (Josefine Franchi)",female,18,1,0,349237,17.8,,S
+51,0,3,"Panula, Master. Juha Niilo",male,7,4,1,3101295,39.6875,,S
+52,0,3,"Nosworthy, Mr. Richard Cater",male,21,0,0,A/4. 39886,7.8,,S
+53,1,1,"Harper, Mrs. Henry Sleeper (Myna Haxtun)",female,49,1,0,PC 17572,76.7292,D33,C
+54,1,2,"Faunthorpe, Mrs. Lizzie (Elizabeth Anne Wilkinson)",female,29,1,0,2926,26,,S
+55,0,1,"Ostby, Mr. Engelhart Cornelius",male,65,0,1,113509,61.9792,B30,C
+56,1,1,"Woolner, Mr. Hugh",male,,0,0,19947,35.5,C52,S
+57,1,2,"Rugg, Miss. Emily",female,21,0,0,C.A. 31026,10.5,,S
+58,0,3,"Novel, Mr. Mansouer",male,28.5,0,0,2697,7.2292,,C
+59,1,2,"West, Miss. Constance Mirium",female,5,1,2,C.A. 34651,27.75,,S
+60,0,3,"Goodwin, Master. William Frederick",male,11,5,2,CA 2144,46.9,,S
+61,0,3,"Sirayanian, Mr. Orsen",male,22,0,0,2669,7.2292,,C
+62,1,1,"Icard, Miss. Amelie",female,38,0,0,113572,80,B28,
+63,0,1,"Harris, Mr. Henry Birkhardt",male,45,1,0,36973,83.475,C83,S
+64,0,3,"Skoog, Master. Harald",male,4,3,2,347088,27.9,,S
+65,0,1,"Stewart, Mr. Albert A",male,,0,0,PC 17605,27.7208,,C
+66,1,3,"Moubarek, Master. Gerios",male,,1,1,2661,15.2458,,C
+67,1,2,"Nye, Mrs. (Elizabeth Ramell)",female,29,0,0,C.A. 29395,10.5,F33,S
+68,0,3,"Crease, Mr. Ernest James",male,19,0,0,S.P. 3464,8.1583,,S
+69,1,3,"Andersson, Miss. Erna Alexandra",female,17,4,2,3101281,7.925,,S
+70,0,3,"Kink, Mr. Vincenz",male,26,2,0,315151,8.6625,,S
+71,0,2,"Jenkin, Mr. Stephen Curnow",male,32,0,0,C.A. 33111,10.5,,S
+72,0,3,"Goodwin, Miss. Lillian Amy",female,16,5,2,CA 2144,46.9,,S
+73,0,2,"Hood, Mr. Ambrose Jr",male,21,0,0,S.O.C. 14879,73.5,,S
+74,0,3,"Chronopoulos, Mr. Apostolos",male,26,1,0,2680,14.4542,,C
+75,1,3,"Bing, Mr. Lee",male,32,0,0,1601,56.4958,,S
+76,0,3,"Moen, Mr. Sigurd Hansen",male,25,0,0,348123,7.65,F G73,S
+77,0,3,"Staneff, Mr. Ivan",male,,0,0,349208,7.8958,,S
+78,0,3,"Moutal, Mr. Rahamin Haim",male,,0,0,374746,8.05,,S
+79,1,2,"Caldwell, Master. Alden Gates",male,0.83,0,2,248738,29,,S
+80,1,3,"Dowdell, Miss. Elizabeth",female,30,0,0,364516,12.475,,S
+81,0,3,"Waelens, Mr. Achille",male,22,0,0,345767,9,,S
+82,1,3,"Sheerlinck, Mr. Jan Baptist",male,29,0,0,345779,9.5,,S
+83,1,3,"McDermott, Miss. Brigdet Delia",female,,0,0,330932,7.7875,,Q
+84,0,1,"Carrau, Mr. Francisco M",male,28,0,0,113059,47.1,,S
+85,1,2,"Ilett, Miss. Bertha",female,17,0,0,SO/C 14885,10.5,,S
+86,1,3,"Backstrom, Mrs. Karl Alfred (Maria Mathilda Gustafsson)",female,33,3,0,3101278,15.85,,S
+87,0,3,"Ford, Mr. William Neal",male,16,1,3,W./C. 6608,34.375,,S
+88,0,3,"Slocovski, Mr. Selman Francis",male,,0,0,SOTON/OQ 392086,8.05,,S
+89,1,1,"Fortune, Miss. Mabel Helen",female,23,3,2,19950,263,C23 C25 C27,S
+90,0,3,"Celotti, Mr. Francesco",male,24,0,0,343275,8.05,,S
+91,0,3,"Christmann, Mr. Emil",male,29,0,0,343276,8.05,,S
+92,0,3,"Andreasson, Mr. Paul Edvin",male,20,0,0,347466,7.8542,,S
+93,0,1,"Chaffee, Mr. Herbert Fuller",male,46,1,0,W.E.P. 5734,61.175,E31,S
+94,0,3,"Dean, Mr. Bertram Frank",male,26,1,2,C.A. 2315,20.575,,S
+95,0,3,"Coxon, Mr. Daniel",male,59,0,0,364500,7.25,,S
+96,0,3,"Shorney, Mr. Charles Joseph",male,,0,0,374910,8.05,,S
+97,0,1,"Goldschmidt, Mr. George B",male,71,0,0,PC 17754,34.6542,A5,C
+98,1,1,"Greenfield, Mr. William Bertram",male,23,0,1,PC 17759,63.3583,D10 D12,C
+99,1,2,"Doling, Mrs. John T (Ada Julia Bone)",female,34,0,1,231919,23,,S
+100,0,2,"Kantor, Mr. Sinai",male,34,1,0,244367,26,,S
+101,0,3,"Petranec, Miss. Matilda",female,28,0,0,349245,7.8958,,S
+102,0,3,"Petroff, Mr. Pastcho (""Pentcho"")",male,,0,0,349215,7.8958,,S
+103,0,1,"White, Mr. Richard Frasar",male,21,0,1,35281,77.2875,D26,S
+104,0,3,"Johansson, Mr. Gustaf Joel",male,33,0,0,7540,8.6542,,S
+105,0,3,"Gustafsson, Mr. Anders Vilhelm",male,37,2,0,3101276,7.925,,S
+106,0,3,"Mionoff, Mr. Stoytcho",male,28,0,0,349207,7.8958,,S
+107,1,3,"Salkjelsvik, Miss. Anna Kristine",female,21,0,0,343120,7.65,,S
+108,1,3,"Moss, Mr. Albert Johan",male,,0,0,312991,7.775,,S
+109,0,3,"Rekic, Mr. Tido",male,38,0,0,349249,7.8958,,S
+110,1,3,"Moran, Miss. Bertha",female,,1,0,371110,24.15,,Q
+111,0,1,"Porter, Mr. Walter Chamberlain",male,47,0,0,110465,52,C110,S
+112,0,3,"Zabour, Miss. Hileni",female,14.5,1,0,2665,14.4542,,C
+113,0,3,"Barton, Mr. David John",male,22,0,0,324669,8.05,,S
+114,0,3,"Jussila, Miss. Katriina",female,20,1,0,4136,9.825,,S
+115,0,3,"Attalah, Miss. Malake",female,17,0,0,2627,14.4583,,C
+116,0,3,"Pekoniemi, Mr. Edvard",male,21,0,0,STON/O 2. 3101294,7.925,,S
+117,0,3,"Connors, Mr. Patrick",male,70.5,0,0,370369,7.75,,Q
+118,0,2,"Turpin, Mr. William John Robert",male,29,1,0,11668,21,,S
+119,0,1,"Baxter, Mr. Quigg Edmond",male,24,0,1,PC 17558,247.5208,B58 B60,C
+120,0,3,"Andersson, Miss. Ellis Anna Maria",female,2,4,2,347082,31.275,,S
+121,0,2,"Hickman, Mr. Stanley George",male,21,2,0,S.O.C. 14879,73.5,,S
+122,0,3,"Moore, Mr. Leonard Charles",male,,0,0,A4. 54510,8.05,,S
+123,0,2,"Nasser, Mr. Nicholas",male,32.5,1,0,237736,30.0708,,C
+124,1,2,"Webber, Miss. Susan",female,32.5,0,0,27267,13,E101,S
+125,0,1,"White, Mr. Percival Wayland",male,54,0,1,35281,77.2875,D26,S
+126,1,3,"Nicola-Yarred, Master. Elias",male,12,1,0,2651,11.2417,,C
+127,0,3,"McMahon, Mr. Martin",male,,0,0,370372,7.75,,Q
+128,1,3,"Madsen, Mr. Fridtjof Arne",male,24,0,0,C 17369,7.1417,,S
+129,1,3,"Peter, Miss. Anna",female,,1,1,2668,22.3583,F E69,C
+130,0,3,"Ekstrom, Mr. Johan",male,45,0,0,347061,6.975,,S
+131,0,3,"Drazenoic, Mr. Jozef",male,33,0,0,349241,7.8958,,C
+132,0,3,"Coelho, Mr. Domingos Fernandeo",male,20,0,0,SOTON/O.Q. 3101307,7.05,,S
+133,0,3,"Robins, Mrs. Alexander A (Grace Charity Laury)",female,47,1,0,A/5. 3337,14.5,,S
+134,1,2,"Weisz, Mrs. Leopold (Mathilde Francoise Pede)",female,29,1,0,228414,26,,S
+135,0,2,"Sobey, Mr. Samuel James Hayden",male,25,0,0,C.A. 29178,13,,S
+136,0,2,"Richard, Mr. Emile",male,23,0,0,SC/PARIS 2133,15.0458,,C
+137,1,1,"Newsom, Miss. Helen Monypeny",female,19,0,2,11752,26.2833,D47,S
+138,0,1,"Futrelle, Mr. Jacques Heath",male,37,1,0,113803,53.1,C123,S
+139,0,3,"Osen, Mr. Olaf Elon",male,16,0,0,7534,9.2167,,S
+140,0,1,"Giglio, Mr. Victor",male,24,0,0,PC 17593,79.2,B86,C
+141,0,3,"Boulos, Mrs. Joseph (Sultana)",female,,0,2,2678,15.2458,,C
+142,1,3,"Nysten, Miss. Anna Sofia",female,22,0,0,347081,7.75,,S
+143,1,3,"Hakkarainen, Mrs. Pekka Pietari (Elin Matilda Dolck)",female,24,1,0,STON/O2. 3101279,15.85,,S
+144,0,3,"Burke, Mr. Jeremiah",male,19,0,0,365222,6.75,,Q
+145,0,2,"Andrew, Mr. Edgardo Samuel",male,18,0,0,231945,11.5,,S
+146,0,2,"Nicholls, Mr. Joseph Charles",male,19,1,1,C.A. 33112,36.75,,S
+147,1,3,"Andersson, Mr. August Edvard (""Wennerstrom"")",male,27,0,0,350043,7.7958,,S
+148,0,3,"Ford, Miss. Robina Maggie ""Ruby""",female,9,2,2,W./C. 6608,34.375,,S
+149,0,2,"Navratil, Mr. Michel (""Louis M Hoffman"")",male,36.5,0,2,230080,26,F2,S
+150,0,2,"Byles, Rev. Thomas Roussel Davids",male,42,0,0,244310,13,,S
+151,0,2,"Bateman, Rev. Robert James",male,51,0,0,S.O.P. 1166,12.525,,S
+152,1,1,"Pears, Mrs. Thomas (Edith Wearne)",female,22,1,0,113776,66.6,C2,S
+153,0,3,"Meo, Mr. Alfonzo",male,55.5,0,0,A.5. 11206,8.05,,S
+154,0,3,"van Billiard, Mr. Austin Blyler",male,40.5,0,2,A/5. 851,14.5,,S
+155,0,3,"Olsen, Mr. Ole Martin",male,,0,0,Fa 265302,7.3125,,S
+156,0,1,"Williams, Mr. Charles Duane",male,51,0,1,PC 17597,61.3792,,C
+157,1,3,"Gilnagh, Miss. Katherine ""Katie""",female,16,0,0,35851,7.7333,,Q
+158,0,3,"Corn, Mr. Harry",male,30,0,0,SOTON/OQ 392090,8.05,,S
+159,0,3,"Smiljanic, Mr. Mile",male,,0,0,315037,8.6625,,S
+160,0,3,"Sage, Master. Thomas Henry",male,,8,2,CA. 2343,69.55,,S
+161,0,3,"Cribb, Mr. John Hatfield",male,44,0,1,371362,16.1,,S
+162,1,2,"Watt, Mrs. James (Elizabeth ""Bessie"" Inglis Milne)",female,40,0,0,C.A. 33595,15.75,,S
+163,0,3,"Bengtsson, Mr. John Viktor",male,26,0,0,347068,7.775,,S
+164,0,3,"Calic, Mr. Jovo",male,17,0,0,315093,8.6625,,S
+165,0,3,"Panula, Master. Eino Viljami",male,1,4,1,3101295,39.6875,,S
+166,1,3,"Goldsmith, Master. Frank John William ""Frankie""",male,9,0,2,363291,20.525,,S
+167,1,1,"Chibnall, Mrs. (Edith Martha Bowerman)",female,,0,1,113505,55,E33,S
+168,0,3,"Skoog, Mrs. William (Anna Bernhardina Karlsson)",female,45,1,4,347088,27.9,,S
+169,0,1,"Baumann, Mr. John D",male,,0,0,PC 17318,25.925,,S
+170,0,3,"Ling, Mr. Lee",male,28,0,0,1601,56.4958,,S
+171,0,1,"Van der hoef, Mr. Wyckoff",male,61,0,0,111240,33.5,B19,S
+172,0,3,"Rice, Master. Arthur",male,4,4,1,382652,29.125,,Q
+173,1,3,"Johnson, Miss. Eleanor Ileen",female,1,1,1,347742,11.1333,,S
+174,0,3,"Sivola, Mr. Antti Wilhelm",male,21,0,0,STON/O 2. 3101280,7.925,,S
+175,0,1,"Smith, Mr. James Clinch",male,56,0,0,17764,30.6958,A7,C
+176,0,3,"Klasen, Mr. Klas Albin",male,18,1,1,350404,7.8542,,S
+177,0,3,"Lefebre, Master. Henry Forbes",male,,3,1,4133,25.4667,,S
+178,0,1,"Isham, Miss. Ann Elizabeth",female,50,0,0,PC 17595,28.7125,C49,C
+179,0,2,"Hale, Mr. Reginald",male,30,0,0,250653,13,,S
+180,0,3,"Leonard, Mr. Lionel",male,36,0,0,LINE,0,,S
+181,0,3,"Sage, Miss. Constance Gladys",female,,8,2,CA. 2343,69.55,,S
+182,0,2,"Pernot, Mr. Rene",male,,0,0,SC/PARIS 2131,15.05,,C
+183,0,3,"Asplund, Master. Clarence Gustaf Hugo",male,9,4,2,347077,31.3875,,S
+184,1,2,"Becker, Master. Richard F",male,1,2,1,230136,39,F4,S
+185,1,3,"Kink-Heilmann, Miss. Luise Gretchen",female,4,0,2,315153,22.025,,S
+186,0,1,"Rood, Mr. Hugh Roscoe",male,,0,0,113767,50,A32,S
+187,1,3,"O'Brien, Mrs. Thomas (Johanna ""Hannah"" Godfrey)",female,,1,0,370365,15.5,,Q
+188,1,1,"Romaine, Mr. Charles Hallace (""Mr C Rolmane"")",male,45,0,0,111428,26.55,,S
+189,0,3,"Bourke, Mr. John",male,40,1,1,364849,15.5,,Q
+190,0,3,"Turcin, Mr. Stjepan",male,36,0,0,349247,7.8958,,S
+191,1,2,"Pinsky, Mrs. (Rosa)",female,32,0,0,234604,13,,S
+192,0,2,"Carbines, Mr. William",male,19,0,0,28424,13,,S
+193,1,3,"Andersen-Jensen, Miss. Carla Christine Nielsine",female,19,1,0,350046,7.8542,,S
+194,1,2,"Navratil, Master. Michel M",male,3,1,1,230080,26,F2,S
+195,1,1,"Brown, Mrs. James Joseph (Margaret Tobin)",female,44,0,0,PC 17610,27.7208,B4,C
+196,1,1,"Lurette, Miss. Elise",female,58,0,0,PC 17569,146.5208,B80,C
+197,0,3,"Mernagh, Mr. Robert",male,,0,0,368703,7.75,,Q
+198,0,3,"Olsen, Mr. Karl Siegwart Andreas",male,42,0,1,4579,8.4042,,S
+199,1,3,"Madigan, Miss. Margaret ""Maggie""",female,,0,0,370370,7.75,,Q
+200,0,2,"Yrois, Miss. Henriette (""Mrs Harbeck"")",female,24,0,0,248747,13,,S
+201,0,3,"Vande Walle, Mr. Nestor Cyriel",male,28,0,0,345770,9.5,,S
+202,0,3,"Sage, Mr. Frederick",male,,8,2,CA. 2343,69.55,,S
+203,0,3,"Johanson, Mr. Jakob Alfred",male,34,0,0,3101264,6.4958,,S
+204,0,3,"Youseff, Mr. Gerious",male,45.5,0,0,2628,7.225,,C
+205,1,3,"Cohen, Mr. Gurshon ""Gus""",male,18,0,0,A/5 3540,8.05,,S
+206,0,3,"Strom, Miss. Telma Matilda",female,2,0,1,347054,10.4625,G6,S
+207,0,3,"Backstrom, Mr. Karl Alfred",male,32,1,0,3101278,15.85,,S
+208,1,3,"Albimona, Mr. Nassef Cassem",male,26,0,0,2699,18.7875,,C
+209,1,3,"Carr, Miss. Helen ""Ellen""",female,16,0,0,367231,7.75,,Q
+210,1,1,"Blank, Mr. Henry",male,40,0,0,112277,31,A31,C
+211,0,3,"Ali, Mr. Ahmed",male,24,0,0,SOTON/O.Q. 3101311,7.05,,S
+212,1,2,"Cameron, Miss. Clear Annie",female,35,0,0,F.C.C. 13528,21,,S
+213,0,3,"Perkin, Mr. John Henry",male,22,0,0,A/5 21174,7.25,,S
+214,0,2,"Givard, Mr. Hans Kristensen",male,30,0,0,250646,13,,S
+215,0,3,"Kiernan, Mr. Philip",male,,1,0,367229,7.75,,Q
+216,1,1,"Newell, Miss. Madeleine",female,31,1,0,35273,113.275,D36,C
+217,1,3,"Honkanen, Miss. Eliina",female,27,0,0,STON/O2. 3101283,7.925,,S
+218,0,2,"Jacobsohn, Mr. Sidney Samuel",male,42,1,0,243847,27,,S
+219,1,1,"Bazzani, Miss. Albina",female,32,0,0,11813,76.2917,D15,C
+220,0,2,"Harris, Mr. Walter",male,30,0,0,W/C 14208,10.5,,S
+221,1,3,"Sunderland, Mr. Victor Francis",male,16,0,0,SOTON/OQ 392089,8.05,,S
+222,0,2,"Bracken, Mr. James H",male,27,0,0,220367,13,,S
+223,0,3,"Green, Mr. George Henry",male,51,0,0,21440,8.05,,S
+224,0,3,"Nenkoff, Mr. Christo",male,,0,0,349234,7.8958,,S
+225,1,1,"Hoyt, Mr. Frederick Maxfield",male,38,1,0,19943,90,C93,S
+226,0,3,"Berglund, Mr. Karl Ivar Sven",male,22,0,0,PP 4348,9.35,,S
+227,1,2,"Mellors, Mr. William John",male,19,0,0,SW/PP 751,10.5,,S
+228,0,3,"Lovell, Mr. John Hall (""Henry"")",male,20.5,0,0,A/5 21173,7.25,,S
+229,0,2,"Fahlstrom, Mr. Arne Jonas",male,18,0,0,236171,13,,S
+230,0,3,"Lefebre, Miss. Mathilde",female,,3,1,4133,25.4667,,S
+231,1,1,"Harris, Mrs. Henry Birkhardt (Irene Wallach)",female,35,1,0,36973,83.475,C83,S
+232,0,3,"Larsson, Mr. Bengt Edvin",male,29,0,0,347067,7.775,,S
+233,0,2,"Sjostedt, Mr. Ernst Adolf",male,59,0,0,237442,13.5,,S
+234,1,3,"Asplund, Miss. Lillian Gertrud",female,5,4,2,347077,31.3875,,S
+235,0,2,"Leyson, Mr. Robert William Norman",male,24,0,0,C.A. 29566,10.5,,S
+236,0,3,"Harknett, Miss. Alice Phoebe",female,,0,0,W./C. 6609,7.55,,S
+237,0,2,"Hold, Mr. Stephen",male,44,1,0,26707,26,,S
+238,1,2,"Collyer, Miss. Marjorie ""Lottie""",female,8,0,2,C.A. 31921,26.25,,S
+239,0,2,"Pengelly, Mr. Frederick William",male,19,0,0,28665,10.5,,S
+240,0,2,"Hunt, Mr. George Henry",male,33,0,0,SCO/W 1585,12.275,,S
+241,0,3,"Zabour, Miss. Thamine",female,,1,0,2665,14.4542,,C
+242,1,3,"Murphy, Miss. Katherine ""Kate""",female,,1,0,367230,15.5,,Q
+243,0,2,"Coleridge, Mr. Reginald Charles",male,29,0,0,W./C. 14263,10.5,,S
+244,0,3,"Maenpaa, Mr. Matti Alexanteri",male,22,0,0,STON/O 2. 3101275,7.125,,S
+245,0,3,"Attalah, Mr. Sleiman",male,30,0,0,2694,7.225,,C
+246,0,1,"Minahan, Dr. William Edward",male,44,2,0,19928,90,C78,Q
+247,0,3,"Lindahl, Miss. Agda Thorilda Viktoria",female,25,0,0,347071,7.775,,S
+248,1,2,"Hamalainen, Mrs. William (Anna)",female,24,0,2,250649,14.5,,S
+249,1,1,"Beckwith, Mr. Richard Leonard",male,37,1,1,11751,52.5542,D35,S
+250,0,2,"Carter, Rev. Ernest Courtenay",male,54,1,0,244252,26,,S
+251,0,3,"Reed, Mr. James George",male,,0,0,362316,7.25,,S
+252,0,3,"Strom, Mrs. Wilhelm (Elna Matilda Persson)",female,29,1,1,347054,10.4625,G6,S
+253,0,1,"Stead, Mr. William Thomas",male,62,0,0,113514,26.55,C87,S
+254,0,3,"Lobb, Mr. William Arthur",male,30,1,0,A/5. 3336,16.1,,S
+255,0,3,"Rosblom, Mrs. Viktor (Helena Wilhelmina)",female,41,0,2,370129,20.2125,,S
+256,1,3,"Touma, Mrs. Darwis (Hanne Youssef Razi)",female,29,0,2,2650,15.2458,,C
+257,1,1,"Thorne, Mrs. Gertrude Maybelle",female,,0,0,PC 17585,79.2,,C
+258,1,1,"Cherry, Miss. Gladys",female,30,0,0,110152,86.5,B77,S
+259,1,1,"Ward, Miss. Anna",female,35,0,0,PC 17755,512.3292,,C
+260,1,2,"Parrish, Mrs. (Lutie Davis)",female,50,0,1,230433,26,,S
+261,0,3,"Smith, Mr. Thomas",male,,0,0,384461,7.75,,Q
+262,1,3,"Asplund, Master. Edvin Rojj Felix",male,3,4,2,347077,31.3875,,S
+263,0,1,"Taussig, Mr. Emil",male,52,1,1,110413,79.65,E67,S
+264,0,1,"Harrison, Mr. William",male,40,0,0,112059,0,B94,S
+265,0,3,"Henry, Miss. Delia",female,,0,0,382649,7.75,,Q
+266,0,2,"Reeves, Mr. David",male,36,0,0,C.A. 17248,10.5,,S
+267,0,3,"Panula, Mr. Ernesti Arvid",male,16,4,1,3101295,39.6875,,S
+268,1,3,"Persson, Mr. Ernst Ulrik",male,25,1,0,347083,7.775,,S
+269,1,1,"Graham, Mrs. William Thompson (Edith Junkins)",female,58,0,1,PC 17582,153.4625,C125,S
+270,1,1,"Bissette, Miss. Amelia",female,35,0,0,PC 17760,135.6333,C99,S
+271,0,1,"Cairns, Mr. Alexander",male,,0,0,113798,31,,S
+272,1,3,"Tornquist, Mr. William Henry",male,25,0,0,LINE,0,,S
+273,1,2,"Mellinger, Mrs. (Elizabeth Anne Maidment)",female,41,0,1,250644,19.5,,S
+274,0,1,"Natsch, Mr. Charles H",male,37,0,1,PC 17596,29.7,C118,C
+275,1,3,"Healy, Miss. Hanora ""Nora""",female,,0,0,370375,7.75,,Q
+276,1,1,"Andrews, Miss. Kornelia Theodosia",female,63,1,0,13502,77.9583,D7,S
+277,0,3,"Lindblom, Miss. Augusta Charlotta",female,45,0,0,347073,7.75,,S
+278,0,2,"Parkes, Mr. Francis ""Frank""",male,,0,0,239853,0,,S
+279,0,3,"Rice, Master. Eric",male,7,4,1,382652,29.125,,Q
+280,1,3,"Abbott, Mrs. Stanton (Rosa Hunt)",female,35,1,1,C.A. 2673,20.25,,S
+281,0,3,"Duane, Mr. Frank",male,65,0,0,336439,7.75,,Q
+282,0,3,"Olsson, Mr. Nils Johan Goransson",male,28,0,0,347464,7.8542,,S
+283,0,3,"de Pelsmaeker, Mr. Alfons",male,16,0,0,345778,9.5,,S
+284,1,3,"Dorking, Mr. Edward Arthur",male,19,0,0,A/5. 10482,8.05,,S
+285,0,1,"Smith, Mr. Richard William",male,,0,0,113056,26,A19,S
+286,0,3,"Stankovic, Mr. Ivan",male,33,0,0,349239,8.6625,,C
+287,1,3,"de Mulder, Mr. Theodore",male,30,0,0,345774,9.5,,S
+288,0,3,"Naidenoff, Mr. Penko",male,22,0,0,349206,7.8958,,S
+289,1,2,"Hosono, Mr. Masabumi",male,42,0,0,237798,13,,S
+290,1,3,"Connolly, Miss. Kate",female,22,0,0,370373,7.75,,Q
+291,1,1,"Barber, Miss. Ellen ""Nellie""",female,26,0,0,19877,78.85,,S
+292,1,1,"Bishop, Mrs. Dickinson H (Helen Walton)",female,19,1,0,11967,91.0792,B49,C
+293,0,2,"Levy, Mr. Rene Jacques",male,36,0,0,SC/Paris 2163,12.875,D,C
+294,0,3,"Haas, Miss. Aloisia",female,24,0,0,349236,8.85,,S
+295,0,3,"Mineff, Mr. Ivan",male,24,0,0,349233,7.8958,,S
+296,0,1,"Lewy, Mr. Ervin G",male,,0,0,PC 17612,27.7208,,C
+297,0,3,"Hanna, Mr. Mansour",male,23.5,0,0,2693,7.2292,,C
+298,0,1,"Allison, Miss. Helen Loraine",female,2,1,2,113781,151.55,C22 C26,S
+299,1,1,"Saalfeld, Mr. Adolphe",male,,0,0,19988,30.5,C106,S
+300,1,1,"Baxter, Mrs. James (Helene DeLaudeniere Chaput)",female,50,0,1,PC 17558,247.5208,B58 B60,C
+301,1,3,"Kelly, Miss. Anna Katherine ""Annie Kate""",female,,0,0,9234,7.75,,Q
+302,1,3,"McCoy, Mr. Bernard",male,,2,0,367226,23.25,,Q
+303,0,3,"Johnson, Mr. William Cahoone Jr",male,19,0,0,LINE,0,,S
+304,1,2,"Keane, Miss. Nora A",female,,0,0,226593,12.35,E101,Q
+305,0,3,"Williams, Mr. Howard Hugh ""Harry""",male,,0,0,A/5 2466,8.05,,S
+306,1,1,"Allison, Master. Hudson Trevor",male,0.92,1,2,113781,151.55,C22 C26,S
+307,1,1,"Fleming, Miss. Margaret",female,,0,0,17421,110.8833,,C
+308,1,1,"Penasco y Castellana, Mrs. Victor de Satode (Maria Josefa Perez de Soto y Vallejo)",female,17,1,0,PC 17758,108.9,C65,C
+309,0,2,"Abelson, Mr. Samuel",male,30,1,0,P/PP 3381,24,,C
+310,1,1,"Francatelli, Miss. Laura Mabel",female,30,0,0,PC 17485,56.9292,E36,C
+311,1,1,"Hays, Miss. Margaret Bechstein",female,24,0,0,11767,83.1583,C54,C
+312,1,1,"Ryerson, Miss. Emily Borie",female,18,2,2,PC 17608,262.375,B57 B59 B63 B66,C
+313,0,2,"Lahtinen, Mrs. William (Anna Sylfven)",female,26,1,1,250651,26,,S
+314,0,3,"Hendekovic, Mr. Ignjac",male,28,0,0,349243,7.8958,,S
+315,0,2,"Hart, Mr. Benjamin",male,43,1,1,F.C.C. 13529,26.25,,S
+316,1,3,"Nilsson, Miss. Helmina Josefina",female,26,0,0,347470,7.8542,,S
+317,1,2,"Kantor, Mrs. Sinai (Miriam Sternin)",female,24,1,0,244367,26,,S
+318,0,2,"Moraweck, Dr. Ernest",male,54,0,0,29011,14,,S
+319,1,1,"Wick, Miss. Mary Natalie",female,31,0,2,36928,164.8667,C7,S
+320,1,1,"Spedden, Mrs. Frederic Oakley (Margaretta Corning Stone)",female,40,1,1,16966,134.5,E34,C
+321,0,3,"Dennis, Mr. Samuel",male,22,0,0,A/5 21172,7.25,,S
+322,0,3,"Danoff, Mr. Yoto",male,27,0,0,349219,7.8958,,S
+323,1,2,"Slayter, Miss. Hilda Mary",female,30,0,0,234818,12.35,,Q
+324,1,2,"Caldwell, Mrs. Albert Francis (Sylvia Mae Harbaugh)",female,22,1,1,248738,29,,S
+325,0,3,"Sage, Mr. George John Jr",male,,8,2,CA. 2343,69.55,,S
+326,1,1,"Young, Miss. Marie Grice",female,36,0,0,PC 17760,135.6333,C32,C
+327,0,3,"Nysveen, Mr. Johan Hansen",male,61,0,0,345364,6.2375,,S
+328,1,2,"Ball, Mrs. (Ada E Hall)",female,36,0,0,28551,13,D,S
+329,1,3,"Goldsmith, Mrs. Frank John (Emily Alice Brown)",female,31,1,1,363291,20.525,,S
+330,1,1,"Hippach, Miss. Jean Gertrude",female,16,0,1,111361,57.9792,B18,C
+331,1,3,"McCoy, Miss. Agnes",female,,2,0,367226,23.25,,Q
+332,0,1,"Partner, Mr. Austen",male,45.5,0,0,113043,28.5,C124,S
+333,0,1,"Graham, Mr. George Edward",male,38,0,1,PC 17582,153.4625,C91,S
+334,0,3,"Vander Planke, Mr. Leo Edmondus",male,16,2,0,345764,18,,S
+335,1,1,"Frauenthal, Mrs. Henry William (Clara Heinsheimer)",female,,1,0,PC 17611,133.65,,S
+336,0,3,"Denkoff, Mr. Mitto",male,,0,0,349225,7.8958,,S
+337,0,1,"Pears, Mr. Thomas Clinton",male,29,1,0,113776,66.6,C2,S
+338,1,1,"Burns, Miss. Elizabeth Margaret",female,41,0,0,16966,134.5,E40,C
+339,1,3,"Dahl, Mr. Karl Edwart",male,45,0,0,7598,8.05,,S
+340,0,1,"Blackwell, Mr. Stephen Weart",male,45,0,0,113784,35.5,T,S
+341,1,2,"Navratil, Master. Edmond Roger",male,2,1,1,230080,26,F2,S
+342,1,1,"Fortune, Miss. Alice Elizabeth",female,24,3,2,19950,263,C23 C25 C27,S
+343,0,2,"Collander, Mr. Erik Gustaf",male,28,0,0,248740,13,,S
+344,0,2,"Sedgwick, Mr. Charles Frederick Waddington",male,25,0,0,244361,13,,S
+345,0,2,"Fox, Mr. Stanley Hubert",male,36,0,0,229236,13,,S
+346,1,2,"Brown, Miss. Amelia ""Mildred""",female,24,0,0,248733,13,F33,S
+347,1,2,"Smith, Miss. Marion Elsie",female,40,0,0,31418,13,,S
+348,1,3,"Davison, Mrs. Thomas Henry (Mary E Finck)",female,,1,0,386525,16.1,,S
+349,1,3,"Coutts, Master. William Loch ""William""",male,3,1,1,C.A. 37671,15.9,,S
+350,0,3,"Dimic, Mr. Jovan",male,42,0,0,315088,8.6625,,S
+351,0,3,"Odahl, Mr. Nils Martin",male,23,0,0,7267,9.225,,S
+352,0,1,"Williams-Lambert, Mr. Fletcher Fellows",male,,0,0,113510,35,C128,S
+353,0,3,"Elias, Mr. Tannous",male,15,1,1,2695,7.2292,,C
+354,0,3,"Arnold-Franchi, Mr. Josef",male,25,1,0,349237,17.8,,S
+355,0,3,"Yousif, Mr. Wazli",male,,0,0,2647,7.225,,C
+356,0,3,"Vanden Steen, Mr. Leo Peter",male,28,0,0,345783,9.5,,S
+357,1,1,"Bowerman, Miss. Elsie Edith",female,22,0,1,113505,55,E33,S
+358,0,2,"Funk, Miss. Annie Clemmer",female,38,0,0,237671,13,,S
+359,1,3,"McGovern, Miss. Mary",female,,0,0,330931,7.8792,,Q
+360,1,3,"Mockler, Miss. Helen Mary ""Ellie""",female,,0,0,330980,7.8792,,Q
+361,0,3,"Skoog, Mr. Wilhelm",male,40,1,4,347088,27.9,,S
+362,0,2,"del Carlo, Mr. Sebastiano",male,29,1,0,SC/PARIS 2167,27.7208,,C
+363,0,3,"Barbara, Mrs. (Catherine David)",female,45,0,1,2691,14.4542,,C
+364,0,3,"Asim, Mr. Adola",male,35,0,0,SOTON/O.Q. 3101310,7.05,,S
+365,0,3,"O'Brien, Mr. Thomas",male,,1,0,370365,15.5,,Q
+366,0,3,"Adahl, Mr. Mauritz Nils Martin",male,30,0,0,C 7076,7.25,,S
+367,1,1,"Warren, Mrs. Frank Manley (Anna Sophia Atkinson)",female,60,1,0,110813,75.25,D37,C
+368,1,3,"Moussa, Mrs. (Mantoura Boulos)",female,,0,0,2626,7.2292,,C
+369,1,3,"Jermyn, Miss. Annie",female,,0,0,14313,7.75,,Q
+370,1,1,"Aubart, Mme. Leontine Pauline",female,24,0,0,PC 17477,69.3,B35,C
+371,1,1,"Harder, Mr. George Achilles",male,25,1,0,11765,55.4417,E50,C
+372,0,3,"Wiklund, Mr. Jakob Alfred",male,18,1,0,3101267,6.4958,,S
+373,0,3,"Beavan, Mr. William Thomas",male,19,0,0,323951,8.05,,S
+374,0,1,"Ringhini, Mr. Sante",male,22,0,0,PC 17760,135.6333,,C
+375,0,3,"Palsson, Miss. Stina Viola",female,3,3,1,349909,21.075,,S
+376,1,1,"Meyer, Mrs. Edgar Joseph (Leila Saks)",female,,1,0,PC 17604,82.1708,,C
+377,1,3,"Landergren, Miss. Aurora Adelia",female,22,0,0,C 7077,7.25,,S
+378,0,1,"Widener, Mr. Harry Elkins",male,27,0,2,113503,211.5,C82,C
+379,0,3,"Betros, Mr. Tannous",male,20,0,0,2648,4.0125,,C
+380,0,3,"Gustafsson, Mr. Karl Gideon",male,19,0,0,347069,7.775,,S
+381,1,1,"Bidois, Miss. Rosalie",female,42,0,0,PC 17757,227.525,,C
+382,1,3,"Nakid, Miss. Maria (""Mary"")",female,1,0,2,2653,15.7417,,C
+383,0,3,"Tikkanen, Mr. Juho",male,32,0,0,STON/O 2. 3101293,7.925,,S
+384,1,1,"Holverson, Mrs. Alexander Oskar (Mary Aline Towner)",female,35,1,0,113789,52,,S
+385,0,3,"Plotcharsky, Mr. Vasil",male,,0,0,349227,7.8958,,S
+386,0,2,"Davies, Mr. Charles Henry",male,18,0,0,S.O.C. 14879,73.5,,S
+387,0,3,"Goodwin, Master. Sidney Leonard",male,1,5,2,CA 2144,46.9,,S
+388,1,2,"Buss, Miss. Kate",female,36,0,0,27849,13,,S
+389,0,3,"Sadlier, Mr. Matthew",male,,0,0,367655,7.7292,,Q
+390,1,2,"Lehmann, Miss. Bertha",female,17,0,0,SC 1748,12,,C
+391,1,1,"Carter, Mr. William Ernest",male,36,1,2,113760,120,B96 B98,S
+392,1,3,"Jansson, Mr. Carl Olof",male,21,0,0,350034,7.7958,,S
+393,0,3,"Gustafsson, Mr. Johan Birger",male,28,2,0,3101277,7.925,,S
+394,1,1,"Newell, Miss. Marjorie",female,23,1,0,35273,113.275,D36,C
+395,1,3,"Sandstrom, Mrs. Hjalmar (Agnes Charlotta Bengtsson)",female,24,0,2,PP 9549,16.7,G6,S
+396,0,3,"Johansson, Mr. Erik",male,22,0,0,350052,7.7958,,S
+397,0,3,"Olsson, Miss. Elina",female,31,0,0,350407,7.8542,,S
+398,0,2,"McKane, Mr. Peter David",male,46,0,0,28403,26,,S
+399,0,2,"Pain, Dr. Alfred",male,23,0,0,244278,10.5,,S
+400,1,2,"Trout, Mrs. William H (Jessie L)",female,28,0,0,240929,12.65,,S
+401,1,3,"Niskanen, Mr. Juha",male,39,0,0,STON/O 2. 3101289,7.925,,S
+402,0,3,"Adams, Mr. John",male,26,0,0,341826,8.05,,S
+403,0,3,"Jussila, Miss. Mari Aina",female,21,1,0,4137,9.825,,S
+404,0,3,"Hakkarainen, Mr. Pekka Pietari",male,28,1,0,STON/O2. 3101279,15.85,,S
+405,0,3,"Oreskovic, Miss. Marija",female,20,0,0,315096,8.6625,,S
+406,0,2,"Gale, Mr. Shadrach",male,34,1,0,28664,21,,S
+407,0,3,"Widegren, Mr. Carl/Charles Peter",male,51,0,0,347064,7.75,,S
+408,1,2,"Richards, Master. William Rowe",male,3,1,1,29106,18.75,,S
+409,0,3,"Birkeland, Mr. Hans Martin Monsen",male,21,0,0,312992,7.775,,S
+410,0,3,"Lefebre, Miss. Ida",female,,3,1,4133,25.4667,,S
+411,0,3,"Sdycoff, Mr. Todor",male,,0,0,349222,7.8958,,S
+412,0,3,"Hart, Mr. Henry",male,,0,0,394140,6.8583,,Q
+413,1,1,"Minahan, Miss. Daisy E",female,33,1,0,19928,90,C78,Q
+414,0,2,"Cunningham, Mr. Alfred Fleming",male,,0,0,239853,0,,S
+415,1,3,"Sundman, Mr. Johan Julian",male,44,0,0,STON/O 2. 3101269,7.925,,S
+416,0,3,"Meek, Mrs. Thomas (Annie Louise Rowley)",female,,0,0,343095,8.05,,S
+417,1,2,"Drew, Mrs. James Vivian (Lulu Thorne Christian)",female,34,1,1,28220,32.5,,S
+418,1,2,"Silven, Miss. Lyyli Karoliina",female,18,0,2,250652,13,,S
+419,0,2,"Matthews, Mr. William John",male,30,0,0,28228,13,,S
+420,0,3,"Van Impe, Miss. Catharina",female,10,0,2,345773,24.15,,S
+421,0,3,"Gheorgheff, Mr. Stanio",male,,0,0,349254,7.8958,,C
+422,0,3,"Charters, Mr. David",male,21,0,0,A/5. 13032,7.7333,,Q
+423,0,3,"Zimmerman, Mr. Leo",male,29,0,0,315082,7.875,,S
+424,0,3,"Danbom, Mrs. Ernst Gilbert (Anna Sigrid Maria Brogren)",female,28,1,1,347080,14.4,,S
+425,0,3,"Rosblom, Mr. Viktor Richard",male,18,1,1,370129,20.2125,,S
+426,0,3,"Wiseman, Mr. Phillippe",male,,0,0,A/4. 34244,7.25,,S
+427,1,2,"Clarke, Mrs. Charles V (Ada Maria Winfield)",female,28,1,0,2003,26,,S
+428,1,2,"Phillips, Miss. Kate Florence (""Mrs Kate Louise Phillips Marshall"")",female,19,0,0,250655,26,,S
+429,0,3,"Flynn, Mr. James",male,,0,0,364851,7.75,,Q
+430,1,3,"Pickard, Mr. Berk (Berk Trembisky)",male,32,0,0,SOTON/O.Q. 392078,8.05,E10,S
+431,1,1,"Bjornstrom-Steffansson, Mr. Mauritz Hakan",male,28,0,0,110564,26.55,C52,S
+432,1,3,"Thorneycroft, Mrs. Percival (Florence Kate White)",female,,1,0,376564,16.1,,S
+433,1,2,"Louch, Mrs. Charles Alexander (Alice Adelaide Slow)",female,42,1,0,SC/AH 3085,26,,S
+434,0,3,"Kallio, Mr. Nikolai Erland",male,17,0,0,STON/O 2. 3101274,7.125,,S
+435,0,1,"Silvey, Mr. William Baird",male,50,1,0,13507,55.9,E44,S
+436,1,1,"Carter, Miss. Lucile Polk",female,14,1,2,113760,120,B96 B98,S
+437,0,3,"Ford, Miss. Doolina Margaret ""Daisy""",female,21,2,2,W./C. 6608,34.375,,S
+438,1,2,"Richards, Mrs. Sidney (Emily Hocking)",female,24,2,3,29106,18.75,,S
+439,0,1,"Fortune, Mr. Mark",male,64,1,4,19950,263,C23 C25 C27,S
+440,0,2,"Kvillner, Mr. Johan Henrik Johannesson",male,31,0,0,C.A. 18723,10.5,,S
+441,1,2,"Hart, Mrs. Benjamin (Esther Ada Bloomfield)",female,45,1,1,F.C.C. 13529,26.25,,S
+442,0,3,"Hampe, Mr. Leon",male,20,0,0,345769,9.5,,S
+443,0,3,"Petterson, Mr. Johan Emil",male,25,1,0,347076,7.775,,S
+444,1,2,"Reynaldo, Ms. Encarnacion",female,28,0,0,230434,13,,S
+445,1,3,"Johannesen-Bratthammer, Mr. Bernt",male,,0,0,65306,8.1125,,S
+446,1,1,"Dodge, Master. Washington",male,4,0,2,33638,81.8583,A34,S
+447,1,2,"Mellinger, Miss. Madeleine Violet",female,13,0,1,250644,19.5,,S
+448,1,1,"Seward, Mr. Frederic Kimber",male,34,0,0,113794,26.55,,S
+449,1,3,"Baclini, Miss. Marie Catherine",female,5,2,1,2666,19.2583,,C
+450,1,1,"Peuchen, Major. Arthur Godfrey",male,52,0,0,113786,30.5,C104,S
+451,0,2,"West, Mr. Edwy Arthur",male,36,1,2,C.A. 34651,27.75,,S
+452,0,3,"Hagland, Mr. Ingvald Olai Olsen",male,,1,0,65303,19.9667,,S
+453,0,1,"Foreman, Mr. Benjamin Laventall",male,30,0,0,113051,27.75,C111,C
+454,1,1,"Goldenberg, Mr. Samuel L",male,49,1,0,17453,89.1042,C92,C
+455,0,3,"Peduzzi, Mr. Joseph",male,,0,0,A/5 2817,8.05,,S
+456,1,3,"Jalsevac, Mr. Ivan",male,29,0,0,349240,7.8958,,C
+457,0,1,"Millet, Mr. Francis Davis",male,65,0,0,13509,26.55,E38,S
+458,1,1,"Kenyon, Mrs. Frederick R (Marion)",female,,1,0,17464,51.8625,D21,S
+459,1,2,"Toomey, Miss. Ellen",female,50,0,0,F.C.C. 13531,10.5,,S
+460,0,3,"O'Connor, Mr. Maurice",male,,0,0,371060,7.75,,Q
+461,1,1,"Anderson, Mr. Harry",male,48,0,0,19952,26.55,E12,S
+462,0,3,"Morley, Mr. William",male,34,0,0,364506,8.05,,S
+463,0,1,"Gee, Mr. Arthur H",male,47,0,0,111320,38.5,E63,S
+464,0,2,"Milling, Mr. Jacob Christian",male,48,0,0,234360,13,,S
+465,0,3,"Maisner, Mr. Simon",male,,0,0,A/S 2816,8.05,,S
+466,0,3,"Goncalves, Mr. Manuel Estanslas",male,38,0,0,SOTON/O.Q. 3101306,7.05,,S
+467,0,2,"Campbell, Mr. William",male,,0,0,239853,0,,S
+468,0,1,"Smart, Mr. John Montgomery",male,56,0,0,113792,26.55,,S
+469,0,3,"Scanlan, Mr. James",male,,0,0,36209,7.725,,Q
+470,1,3,"Baclini, Miss. Helene Barbara",female,0.75,2,1,2666,19.2583,,C
+471,0,3,"Keefe, Mr. Arthur",male,,0,0,323592,7.25,,S
+472,0,3,"Cacic, Mr. Luka",male,38,0,0,315089,8.6625,,S
+473,1,2,"West, Mrs. Edwy Arthur (Ada Mary Worth)",female,33,1,2,C.A. 34651,27.75,,S
+474,1,2,"Jerwan, Mrs. Amin S (Marie Marthe Thuillard)",female,23,0,0,SC/AH Basle 541,13.7917,D,C
+475,0,3,"Strandberg, Miss. Ida Sofia",female,22,0,0,7553,9.8375,,S
+476,0,1,"Clifford, Mr. George Quincy",male,,0,0,110465,52,A14,S
+477,0,2,"Renouf, Mr. Peter Henry",male,34,1,0,31027,21,,S
+478,0,3,"Braund, Mr. Lewis Richard",male,29,1,0,3460,7.0458,,S
+479,0,3,"Karlsson, Mr. Nils August",male,22,0,0,350060,7.5208,,S
+480,1,3,"Hirvonen, Miss. Hildur E",female,2,0,1,3101298,12.2875,,S
+481,0,3,"Goodwin, Master. Harold Victor",male,9,5,2,CA 2144,46.9,,S
+482,0,2,"Frost, Mr. Anthony Wood ""Archie""",male,,0,0,239854,0,,S
+483,0,3,"Rouse, Mr. Richard Henry",male,50,0,0,A/5 3594,8.05,,S
+484,1,3,"Turkula, Mrs. (Hedwig)",female,63,0,0,4134,9.5875,,S
+485,1,1,"Bishop, Mr. Dickinson H",male,25,1,0,11967,91.0792,B49,C
+486,0,3,"Lefebre, Miss. Jeannie",female,,3,1,4133,25.4667,,S
+487,1,1,"Hoyt, Mrs. Frederick Maxfield (Jane Anne Forby)",female,35,1,0,19943,90,C93,S
+488,0,1,"Kent, Mr. Edward Austin",male,58,0,0,11771,29.7,B37,C
+489,0,3,"Somerton, Mr. Francis William",male,30,0,0,A.5. 18509,8.05,,S
+490,1,3,"Coutts, Master. Eden Leslie ""Neville""",male,9,1,1,C.A. 37671,15.9,,S
+491,0,3,"Hagland, Mr. Konrad Mathias Reiersen",male,,1,0,65304,19.9667,,S
+492,0,3,"Windelov, Mr. Einar",male,21,0,0,SOTON/OQ 3101317,7.25,,S
+493,0,1,"Molson, Mr. Harry Markland",male,55,0,0,113787,30.5,C30,S
+494,0,1,"Artagaveytia, Mr. Ramon",male,71,0,0,PC 17609,49.5042,,C
+495,0,3,"Stanley, Mr. Edward Roland",male,21,0,0,A/4 45380,8.05,,S
+496,0,3,"Yousseff, Mr. Gerious",male,,0,0,2627,14.4583,,C
+497,1,1,"Eustis, Miss. Elizabeth Mussey",female,54,1,0,36947,78.2667,D20,C
+498,0,3,"Shellard, Mr. Frederick William",male,,0,0,C.A. 6212,15.1,,S
+499,0,1,"Allison, Mrs. Hudson J C (Bessie Waldo Daniels)",female,25,1,2,113781,151.55,C22 C26,S
+500,0,3,"Svensson, Mr. Olof",male,24,0,0,350035,7.7958,,S
+501,0,3,"Calic, Mr. Petar",male,17,0,0,315086,8.6625,,S
+502,0,3,"Canavan, Miss. Mary",female,21,0,0,364846,7.75,,Q
+503,0,3,"O'Sullivan, Miss. Bridget Mary",female,,0,0,330909,7.6292,,Q
+504,0,3,"Laitinen, Miss. Kristina Sofia",female,37,0,0,4135,9.5875,,S
+505,1,1,"Maioni, Miss. Roberta",female,16,0,0,110152,86.5,B79,S
+506,0,1,"Penasco y Castellana, Mr. Victor de Satode",male,18,1,0,PC 17758,108.9,C65,C
+507,1,2,"Quick, Mrs. Frederick Charles (Jane Richards)",female,33,0,2,26360,26,,S
+508,1,1,"Bradley, Mr. George (""George Arthur Brayton"")",male,,0,0,111427,26.55,,S
+509,0,3,"Olsen, Mr. Henry Margido",male,28,0,0,C 4001,22.525,,S
+510,1,3,"Lang, Mr. Fang",male,26,0,0,1601,56.4958,,S
+511,1,3,"Daly, Mr. Eugene Patrick",male,29,0,0,382651,7.75,,Q
+512,0,3,"Webber, Mr. James",male,,0,0,SOTON/OQ 3101316,8.05,,S
+513,1,1,"McGough, Mr. James Robert",male,36,0,0,PC 17473,26.2875,E25,S
+514,1,1,"Rothschild, Mrs. Martin (Elizabeth L. Barrett)",female,54,1,0,PC 17603,59.4,,C
+515,0,3,"Coleff, Mr. Satio",male,24,0,0,349209,7.4958,,S
+516,0,1,"Walker, Mr. William Anderson",male,47,0,0,36967,34.0208,D46,S
+517,1,2,"Lemore, Mrs. (Amelia Milley)",female,34,0,0,C.A. 34260,10.5,F33,S
+518,0,3,"Ryan, Mr. Patrick",male,,0,0,371110,24.15,,Q
+519,1,2,"Angle, Mrs. William A (Florence ""Mary"" Agnes Hughes)",female,36,1,0,226875,26,,S
+520,0,3,"Pavlovic, Mr. Stefo",male,32,0,0,349242,7.8958,,S
+521,1,1,"Perreault, Miss. Anne",female,30,0,0,12749,93.5,B73,S
+522,0,3,"Vovk, Mr. Janko",male,22,0,0,349252,7.8958,,S
+523,0,3,"Lahoud, Mr. Sarkis",male,,0,0,2624,7.225,,C
+524,1,1,"Hippach, Mrs. Louis Albert (Ida Sophia Fischer)",female,44,0,1,111361,57.9792,B18,C
+525,0,3,"Kassem, Mr. Fared",male,,0,0,2700,7.2292,,C
+526,0,3,"Farrell, Mr. James",male,40.5,0,0,367232,7.75,,Q
+527,1,2,"Ridsdale, Miss. Lucy",female,50,0,0,W./C. 14258,10.5,,S
+528,0,1,"Farthing, Mr. John",male,,0,0,PC 17483,221.7792,C95,S
+529,0,3,"Salonen, Mr. Johan Werner",male,39,0,0,3101296,7.925,,S
+530,0,2,"Hocking, Mr. Richard George",male,23,2,1,29104,11.5,,S
+531,1,2,"Quick, Miss. Phyllis May",female,2,1,1,26360,26,,S
+532,0,3,"Toufik, Mr. Nakli",male,,0,0,2641,7.2292,,C
+533,0,3,"Elias, Mr. Joseph Jr",male,17,1,1,2690,7.2292,,C
+534,1,3,"Peter, Mrs. Catherine (Catherine Rizk)",female,,0,2,2668,22.3583,,C
+535,0,3,"Cacic, Miss. Marija",female,30,0,0,315084,8.6625,,S
+536,1,2,"Hart, Miss. Eva Miriam",female,7,0,2,F.C.C. 13529,26.25,,S
+537,0,1,"Butt, Major. Archibald Willingham",male,45,0,0,113050,26.55,B38,S
+538,1,1,"LeRoy, Miss. Bertha",female,30,0,0,PC 17761,106.425,,C
+539,0,3,"Risien, Mr. Samuel Beard",male,,0,0,364498,14.5,,S
+540,1,1,"Frolicher, Miss. Hedwig Margaritha",female,22,0,2,13568,49.5,B39,C
+541,1,1,"Crosby, Miss. Harriet R",female,36,0,2,WE/P 5735,71,B22,S
+542,0,3,"Andersson, Miss. Ingeborg Constanzia",female,9,4,2,347082,31.275,,S
+543,0,3,"Andersson, Miss. Sigrid Elisabeth",female,11,4,2,347082,31.275,,S
+544,1,2,"Beane, Mr. Edward",male,32,1,0,2908,26,,S
+545,0,1,"Douglas, Mr. Walter Donald",male,50,1,0,PC 17761,106.425,C86,C
+546,0,1,"Nicholson, Mr. Arthur Ernest",male,64,0,0,693,26,,S
+547,1,2,"Beane, Mrs. Edward (Ethel Clarke)",female,19,1,0,2908,26,,S
+548,1,2,"Padro y Manent, Mr. Julian",male,,0,0,SC/PARIS 2146,13.8625,,C
+549,0,3,"Goldsmith, Mr. Frank John",male,33,1,1,363291,20.525,,S
+550,1,2,"Davies, Master. John Morgan Jr",male,8,1,1,C.A. 33112,36.75,,S
+551,1,1,"Thayer, Mr. John Borland Jr",male,17,0,2,17421,110.8833,C70,C
+552,0,2,"Sharp, Mr. Percival James R",male,27,0,0,244358,26,,S
+553,0,3,"O'Brien, Mr. Timothy",male,,0,0,330979,7.8292,,Q
+554,1,3,"Leeni, Mr. Fahim (""Philip Zenni"")",male,22,0,0,2620,7.225,,C
+555,1,3,"Ohman, Miss. Velin",female,22,0,0,347085,7.775,,S
+556,0,1,"Wright, Mr. George",male,62,0,0,113807,26.55,,S
+557,1,1,"Duff Gordon, Lady. (Lucille Christiana Sutherland) (""Mrs Morgan"")",female,48,1,0,11755,39.6,A16,C
+558,0,1,"Robbins, Mr. Victor",male,,0,0,PC 17757,227.525,,C
+559,1,1,"Taussig, Mrs. Emil (Tillie Mandelbaum)",female,39,1,1,110413,79.65,E67,S
+560,1,3,"de Messemaeker, Mrs. Guillaume Joseph (Emma)",female,36,1,0,345572,17.4,,S
+561,0,3,"Morrow, Mr. Thomas Rowan",male,,0,0,372622,7.75,,Q
+562,0,3,"Sivic, Mr. Husein",male,40,0,0,349251,7.8958,,S
+563,0,2,"Norman, Mr. Robert Douglas",male,28,0,0,218629,13.5,,S
+564,0,3,"Simmons, Mr. John",male,,0,0,SOTON/OQ 392082,8.05,,S
+565,0,3,"Meanwell, Miss. (Marion Ogden)",female,,0,0,SOTON/O.Q. 392087,8.05,,S
+566,0,3,"Davies, Mr. Alfred J",male,24,2,0,A/4 48871,24.15,,S
+567,0,3,"Stoytcheff, Mr. Ilia",male,19,0,0,349205,7.8958,,S
+568,0,3,"Palsson, Mrs. Nils (Alma Cornelia Berglund)",female,29,0,4,349909,21.075,,S
+569,0,3,"Doharr, Mr. Tannous",male,,0,0,2686,7.2292,,C
+570,1,3,"Jonsson, Mr. Carl",male,32,0,0,350417,7.8542,,S
+571,1,2,"Harris, Mr. George",male,62,0,0,S.W./PP 752,10.5,,S
+572,1,1,"Appleton, Mrs. Edward Dale (Charlotte Lamson)",female,53,2,0,11769,51.4792,C101,S
+573,1,1,"Flynn, Mr. John Irwin (""Irving"")",male,36,0,0,PC 17474,26.3875,E25,S
+574,1,3,"Kelly, Miss. Mary",female,,0,0,14312,7.75,,Q
+575,0,3,"Rush, Mr. Alfred George John",male,16,0,0,A/4. 20589,8.05,,S
+576,0,3,"Patchett, Mr. George",male,19,0,0,358585,14.5,,S
+577,1,2,"Garside, Miss. Ethel",female,34,0,0,243880,13,,S
+578,1,1,"Silvey, Mrs. William Baird (Alice Munger)",female,39,1,0,13507,55.9,E44,S
+579,0,3,"Caram, Mrs. Joseph (Maria Elias)",female,,1,0,2689,14.4583,,C
+580,1,3,"Jussila, Mr. Eiriik",male,32,0,0,STON/O 2. 3101286,7.925,,S
+581,1,2,"Christy, Miss. Julie Rachel",female,25,1,1,237789,30,,S
+582,1,1,"Thayer, Mrs. John Borland (Marian Longstreth Morris)",female,39,1,1,17421,110.8833,C68,C
+583,0,2,"Downton, Mr. William James",male,54,0,0,28403,26,,S
+584,0,1,"Ross, Mr. John Hugo",male,36,0,0,13049,40.125,A10,C
+585,0,3,"Paulner, Mr. Uscher",male,,0,0,3411,8.7125,,C
+586,1,1,"Taussig, Miss. Ruth",female,18,0,2,110413,79.65,E68,S
+587,0,2,"Jarvis, Mr. John Denzil",male,47,0,0,237565,15,,S
+588,1,1,"Frolicher-Stehli, Mr. Maxmillian",male,60,1,1,13567,79.2,B41,C
+589,0,3,"Gilinski, Mr. Eliezer",male,22,0,0,14973,8.05,,S
+590,0,3,"Murdlin, Mr. Joseph",male,,0,0,A./5. 3235,8.05,,S
+591,0,3,"Rintamaki, Mr. Matti",male,35,0,0,STON/O 2. 3101273,7.125,,S
+592,1,1,"Stephenson, Mrs. Walter Bertram (Martha Eustis)",female,52,1,0,36947,78.2667,D20,C
+593,0,3,"Elsbury, Mr. William James",male,47,0,0,A/5 3902,7.25,,S
+594,0,3,"Bourke, Miss. Mary",female,,0,2,364848,7.75,,Q
+595,0,2,"Chapman, Mr. John Henry",male,37,1,0,SC/AH 29037,26,,S
+596,0,3,"Van Impe, Mr. Jean Baptiste",male,36,1,1,345773,24.15,,S
+597,1,2,"Leitch, Miss. Jessie Wills",female,,0,0,248727,33,,S
+598,0,3,"Johnson, Mr. Alfred",male,49,0,0,LINE,0,,S
+599,0,3,"Boulos, Mr. Hanna",male,,0,0,2664,7.225,,C
+600,1,1,"Duff Gordon, Sir. Cosmo Edmund (""Mr Morgan"")",male,49,1,0,PC 17485,56.9292,A20,C
+601,1,2,"Jacobsohn, Mrs. Sidney Samuel (Amy Frances Christy)",female,24,2,1,243847,27,,S
+602,0,3,"Slabenoff, Mr. Petco",male,,0,0,349214,7.8958,,S
+603,0,1,"Harrington, Mr. Charles H",male,,0,0,113796,42.4,,S
+604,0,3,"Torber, Mr. Ernst William",male,44,0,0,364511,8.05,,S
+605,1,1,"Homer, Mr. Harry (""Mr E Haven"")",male,35,0,0,111426,26.55,,C
+606,0,3,"Lindell, Mr. Edvard Bengtsson",male,36,1,0,349910,15.55,,S
+607,0,3,"Karaic, Mr. Milan",male,30,0,0,349246,7.8958,,S
+608,1,1,"Daniel, Mr. Robert Williams",male,27,0,0,113804,30.5,,S
+609,1,2,"Laroche, Mrs. Joseph (Juliette Marie Louise Lafargue)",female,22,1,2,SC/Paris 2123,41.5792,,C
+610,1,1,"Shutes, Miss. Elizabeth W",female,40,0,0,PC 17582,153.4625,C125,S
+611,0,3,"Andersson, Mrs. Anders Johan (Alfrida Konstantia Brogren)",female,39,1,5,347082,31.275,,S
+612,0,3,"Jardin, Mr. Jose Neto",male,,0,0,SOTON/O.Q. 3101305,7.05,,S
+613,1,3,"Murphy, Miss. Margaret Jane",female,,1,0,367230,15.5,,Q
+614,0,3,"Horgan, Mr. John",male,,0,0,370377,7.75,,Q
+615,0,3,"Brocklebank, Mr. William Alfred",male,35,0,0,364512,8.05,,S
+616,1,2,"Herman, Miss. Alice",female,24,1,2,220845,65,,S
+617,0,3,"Danbom, Mr. Ernst Gilbert",male,34,1,1,347080,14.4,,S
+618,0,3,"Lobb, Mrs. William Arthur (Cordelia K Stanlick)",female,26,1,0,A/5. 3336,16.1,,S
+619,1,2,"Becker, Miss. Marion Louise",female,4,2,1,230136,39,F4,S
+620,0,2,"Gavey, Mr. Lawrence",male,26,0,0,31028,10.5,,S
+621,0,3,"Yasbeck, Mr. Antoni",male,27,1,0,2659,14.4542,,C
+622,1,1,"Kimball, Mr. Edwin Nelson Jr",male,42,1,0,11753,52.5542,D19,S
+623,1,3,"Nakid, Mr. Sahid",male,20,1,1,2653,15.7417,,C
+624,0,3,"Hansen, Mr. Henry Damsgaard",male,21,0,0,350029,7.8542,,S
+625,0,3,"Bowen, Mr. David John ""Dai""",male,21,0,0,54636,16.1,,S
+626,0,1,"Sutton, Mr. Frederick",male,61,0,0,36963,32.3208,D50,S
+627,0,2,"Kirkland, Rev. Charles Leonard",male,57,0,0,219533,12.35,,Q
+628,1,1,"Longley, Miss. Gretchen Fiske",female,21,0,0,13502,77.9583,D9,S
+629,0,3,"Bostandyeff, Mr. Guentcho",male,26,0,0,349224,7.8958,,S
+630,0,3,"O'Connell, Mr. Patrick D",male,,0,0,334912,7.7333,,Q
+631,1,1,"Barkworth, Mr. Algernon Henry Wilson",male,80,0,0,27042,30,A23,S
+632,0,3,"Lundahl, Mr. Johan Svensson",male,51,0,0,347743,7.0542,,S
+633,1,1,"Stahelin-Maeglin, Dr. Max",male,32,0,0,13214,30.5,B50,C
+634,0,1,"Parr, Mr. William Henry Marsh",male,,0,0,112052,0,,S
+635,0,3,"Skoog, Miss. Mabel",female,9,3,2,347088,27.9,,S
+636,1,2,"Davis, Miss. Mary",female,28,0,0,237668,13,,S
+637,0,3,"Leinonen, Mr. Antti Gustaf",male,32,0,0,STON/O 2. 3101292,7.925,,S
+638,0,2,"Collyer, Mr. Harvey",male,31,1,1,C.A. 31921,26.25,,S
+639,0,3,"Panula, Mrs. Juha (Maria Emilia Ojala)",female,41,0,5,3101295,39.6875,,S
+640,0,3,"Thorneycroft, Mr. Percival",male,,1,0,376564,16.1,,S
+641,0,3,"Jensen, Mr. Hans Peder",male,20,0,0,350050,7.8542,,S
+642,1,1,"Sagesser, Mlle. Emma",female,24,0,0,PC 17477,69.3,B35,C
+643,0,3,"Skoog, Miss. Margit Elizabeth",female,2,3,2,347088,27.9,,S
+644,1,3,"Foo, Mr. Choong",male,,0,0,1601,56.4958,,S
+645,1,3,"Baclini, Miss. Eugenie",female,0.75,2,1,2666,19.2583,,C
+646,1,1,"Harper, Mr. Henry Sleeper",male,48,1,0,PC 17572,76.7292,D33,C
+647,0,3,"Cor, Mr. Liudevit",male,19,0,0,349231,7.8958,,S
+648,1,1,"Simonius-Blumer, Col. Oberst Alfons",male,56,0,0,13213,35.5,A26,C
+649,0,3,"Willey, Mr. Edward",male,,0,0,S.O./P.P. 751,7.55,,S
+650,1,3,"Stanley, Miss. Amy Zillah Elsie",female,23,0,0,CA. 2314,7.55,,S
+651,0,3,"Mitkoff, Mr. Mito",male,,0,0,349221,7.8958,,S
+652,1,2,"Doling, Miss. Elsie",female,18,0,1,231919,23,,S
+653,0,3,"Kalvik, Mr. Johannes Halvorsen",male,21,0,0,8475,8.4333,,S
+654,1,3,"O'Leary, Miss. Hanora ""Norah""",female,,0,0,330919,7.8292,,Q
+655,0,3,"Hegarty, Miss. Hanora ""Nora""",female,18,0,0,365226,6.75,,Q
+656,0,2,"Hickman, Mr. Leonard Mark",male,24,2,0,S.O.C. 14879,73.5,,S
+657,0,3,"Radeff, Mr. Alexander",male,,0,0,349223,7.8958,,S
+658,0,3,"Bourke, Mrs. John (Catherine)",female,32,1,1,364849,15.5,,Q
+659,0,2,"Eitemiller, Mr. George Floyd",male,23,0,0,29751,13,,S
+660,0,1,"Newell, Mr. Arthur Webster",male,58,0,2,35273,113.275,D48,C
+661,1,1,"Frauenthal, Dr. Henry William",male,50,2,0,PC 17611,133.65,,S
+662,0,3,"Badt, Mr. Mohamed",male,40,0,0,2623,7.225,,C
+663,0,1,"Colley, Mr. Edward Pomeroy",male,47,0,0,5727,25.5875,E58,S
+664,0,3,"Coleff, Mr. Peju",male,36,0,0,349210,7.4958,,S
+665,1,3,"Lindqvist, Mr. Eino William",male,20,1,0,STON/O 2. 3101285,7.925,,S
+666,0,2,"Hickman, Mr. Lewis",male,32,2,0,S.O.C. 14879,73.5,,S
+667,0,2,"Butler, Mr. Reginald Fenton",male,25,0,0,234686,13,,S
+668,0,3,"Rommetvedt, Mr. Knud Paust",male,,0,0,312993,7.775,,S
+669,0,3,"Cook, Mr. Jacob",male,43,0,0,A/5 3536,8.05,,S
+670,1,1,"Taylor, Mrs. Elmer Zebley (Juliet Cummins Wright)",female,,1,0,19996,52,C126,S
+671,1,2,"Brown, Mrs. Thomas William Solomon (Elizabeth Catherine Ford)",female,40,1,1,29750,39,,S
+672,0,1,"Davidson, Mr. Thornton",male,31,1,0,F.C. 12750,52,B71,S
+673,0,2,"Mitchell, Mr. Henry Michael",male,70,0,0,C.A. 24580,10.5,,S
+674,1,2,"Wilhelms, Mr. Charles",male,31,0,0,244270,13,,S
+675,0,2,"Watson, Mr. Ennis Hastings",male,,0,0,239856,0,,S
+676,0,3,"Edvardsson, Mr. Gustaf Hjalmar",male,18,0,0,349912,7.775,,S
+677,0,3,"Sawyer, Mr. Frederick Charles",male,24.5,0,0,342826,8.05,,S
+678,1,3,"Turja, Miss. Anna Sofia",female,18,0,0,4138,9.8417,,S
+679,0,3,"Goodwin, Mrs. Frederick (Augusta Tyler)",female,43,1,6,CA 2144,46.9,,S
+680,1,1,"Cardeza, Mr. Thomas Drake Martinez",male,36,0,1,PC 17755,512.3292,B51 B53 B55,C
+681,0,3,"Peters, Miss. Katie",female,,0,0,330935,8.1375,,Q
+682,1,1,"Hassab, Mr. Hammad",male,27,0,0,PC 17572,76.7292,D49,C
+683,0,3,"Olsvigen, Mr. Thor Anderson",male,20,0,0,6563,9.225,,S
+684,0,3,"Goodwin, Mr. Charles Edward",male,14,5,2,CA 2144,46.9,,S
+685,0,2,"Brown, Mr. Thomas William Solomon",male,60,1,1,29750,39,,S
+686,0,2,"Laroche, Mr. Joseph Philippe Lemercier",male,25,1,2,SC/Paris 2123,41.5792,,C
+687,0,3,"Panula, Mr. Jaako Arnold",male,14,4,1,3101295,39.6875,,S
+688,0,3,"Dakic, Mr. Branko",male,19,0,0,349228,10.1708,,S
+689,0,3,"Fischer, Mr. Eberhard Thelander",male,18,0,0,350036,7.7958,,S
+690,1,1,"Madill, Miss. Georgette Alexandra",female,15,0,1,24160,211.3375,B5,S
+691,1,1,"Dick, Mr. Albert Adrian",male,31,1,0,17474,57,B20,S
+692,1,3,"Karun, Miss. Manca",female,4,0,1,349256,13.4167,,C
+693,1,3,"Lam, Mr. Ali",male,,0,0,1601,56.4958,,S
+694,0,3,"Saad, Mr. Khalil",male,25,0,0,2672,7.225,,C
+695,0,1,"Weir, Col. John",male,60,0,0,113800,26.55,,S
+696,0,2,"Chapman, Mr. Charles Henry",male,52,0,0,248731,13.5,,S
+697,0,3,"Kelly, Mr. James",male,44,0,0,363592,8.05,,S
+698,1,3,"Mullens, Miss. Katherine ""Katie""",female,,0,0,35852,7.7333,,Q
+699,0,1,"Thayer, Mr. John Borland",male,49,1,1,17421,110.8833,C68,C
+700,0,3,"Humblen, Mr. Adolf Mathias Nicolai Olsen",male,42,0,0,348121,7.65,F G63,S
+701,1,1,"Astor, Mrs. John Jacob (Madeleine Talmadge Force)",female,18,1,0,PC 17757,227.525,C62 C64,C
+702,1,1,"Silverthorne, Mr. Spencer Victor",male,35,0,0,PC 17475,26.2875,E24,S
+703,0,3,"Barbara, Miss. Saiide",female,18,0,1,2691,14.4542,,C
+704,0,3,"Gallagher, Mr. Martin",male,25,0,0,36864,7.7417,,Q
+705,0,3,"Hansen, Mr. Henrik Juul",male,26,1,0,350025,7.8542,,S
+706,0,2,"Morley, Mr. Henry Samuel (""Mr Henry Marshall"")",male,39,0,0,250655,26,,S
+707,1,2,"Kelly, Mrs. Florence ""Fannie""",female,45,0,0,223596,13.5,,S
+708,1,1,"Calderhead, Mr. Edward Pennington",male,42,0,0,PC 17476,26.2875,E24,S
+709,1,1,"Cleaver, Miss. Alice",female,22,0,0,113781,151.55,,S
+710,1,3,"Moubarek, Master. Halim Gonios (""William George"")",male,,1,1,2661,15.2458,,C
+711,1,1,"Mayne, Mlle. Berthe Antonine (""Mrs de Villiers"")",female,24,0,0,PC 17482,49.5042,C90,C
+712,0,1,"Klaber, Mr. Herman",male,,0,0,113028,26.55,C124,S
+713,1,1,"Taylor, Mr. Elmer Zebley",male,48,1,0,19996,52,C126,S
+714,0,3,"Larsson, Mr. August Viktor",male,29,0,0,7545,9.4833,,S
+715,0,2,"Greenberg, Mr. Samuel",male,52,0,0,250647,13,,S
+716,0,3,"Soholt, Mr. Peter Andreas Lauritz Andersen",male,19,0,0,348124,7.65,F G73,S
+717,1,1,"Endres, Miss. Caroline Louise",female,38,0,0,PC 17757,227.525,C45,C
+718,1,2,"Troutt, Miss. Edwina Celia ""Winnie""",female,27,0,0,34218,10.5,E101,S
+719,0,3,"McEvoy, Mr. Michael",male,,0,0,36568,15.5,,Q
+720,0,3,"Johnson, Mr. Malkolm Joackim",male,33,0,0,347062,7.775,,S
+721,1,2,"Harper, Miss. Annie Jessie ""Nina""",female,6,0,1,248727,33,,S
+722,0,3,"Jensen, Mr. Svend Lauritz",male,17,1,0,350048,7.0542,,S
+723,0,2,"Gillespie, Mr. William Henry",male,34,0,0,12233,13,,S
+724,0,2,"Hodges, Mr. Henry Price",male,50,0,0,250643,13,,S
+725,1,1,"Chambers, Mr. Norman Campbell",male,27,1,0,113806,53.1,E8,S
+726,0,3,"Oreskovic, Mr. Luka",male,20,0,0,315094,8.6625,,S
+727,1,2,"Renouf, Mrs. Peter Henry (Lillian Jefferys)",female,30,3,0,31027,21,,S
+728,1,3,"Mannion, Miss. Margareth",female,,0,0,36866,7.7375,,Q
+729,0,2,"Bryhl, Mr. Kurt Arnold Gottfrid",male,25,1,0,236853,26,,S
+730,0,3,"Ilmakangas, Miss. Pieta Sofia",female,25,1,0,STON/O2. 3101271,7.925,,S
+731,1,1,"Allen, Miss. Elisabeth Walton",female,29,0,0,24160,211.3375,B5,S
+732,0,3,"Hassan, Mr. Houssein G N",male,11,0,0,2699,18.7875,,C
+733,0,2,"Knight, Mr. Robert J",male,,0,0,239855,0,,S
+734,0,2,"Berriman, Mr. William John",male,23,0,0,28425,13,,S
+735,0,2,"Troupiansky, Mr. Moses Aaron",male,23,0,0,233639,13,,S
+736,0,3,"Williams, Mr. Leslie",male,28.5,0,0,54636,16.1,,S
+737,0,3,"Ford, Mrs. Edward (Margaret Ann Watson)",female,48,1,3,W./C. 6608,34.375,,S
+738,1,1,"Lesurer, Mr. Gustave J",male,35,0,0,PC 17755,512.3292,B101,C
+739,0,3,"Ivanoff, Mr. Kanio",male,,0,0,349201,7.8958,,S
+740,0,3,"Nankoff, Mr. Minko",male,,0,0,349218,7.8958,,S
+741,1,1,"Hawksford, Mr. Walter James",male,,0,0,16988,30,D45,S
+742,0,1,"Cavendish, Mr. Tyrell William",male,36,1,0,19877,78.85,C46,S
+743,1,1,"Ryerson, Miss. Susan Parker ""Suzette""",female,21,2,2,PC 17608,262.375,B57 B59 B63 B66,C
+744,0,3,"McNamee, Mr. Neal",male,24,1,0,376566,16.1,,S
+745,1,3,"Stranden, Mr. Juho",male,31,0,0,STON/O 2. 3101288,7.925,,S
+746,0,1,"Crosby, Capt. Edward Gifford",male,70,1,1,WE/P 5735,71,B22,S
+747,0,3,"Abbott, Mr. Rossmore Edward",male,16,1,1,C.A. 2673,20.25,,S
+748,1,2,"Sinkkonen, Miss. Anna",female,30,0,0,250648,13,,S
+749,0,1,"Marvin, Mr. Daniel Warner",male,19,1,0,113773,53.1,D30,S
+750,0,3,"Connaghton, Mr. Michael",male,31,0,0,335097,7.75,,Q
+751,1,2,"Wells, Miss. Joan",female,4,1,1,29103,23,,S
+752,1,3,"Moor, Master. Meier",male,6,0,1,392096,12.475,E121,S
+753,0,3,"Vande Velde, Mr. Johannes Joseph",male,33,0,0,345780,9.5,,S
+754,0,3,"Jonkoff, Mr. Lalio",male,23,0,0,349204,7.8958,,S
+755,1,2,"Herman, Mrs. Samuel (Jane Laver)",female,48,1,2,220845,65,,S
+756,1,2,"Hamalainen, Master. Viljo",male,0.67,1,1,250649,14.5,,S
+757,0,3,"Carlsson, Mr. August Sigfrid",male,28,0,0,350042,7.7958,,S
+758,0,2,"Bailey, Mr. Percy Andrew",male,18,0,0,29108,11.5,,S
+759,0,3,"Theobald, Mr. Thomas Leonard",male,34,0,0,363294,8.05,,S
+760,1,1,"Rothes, the Countess. of (Lucy Noel Martha Dyer-Edwards)",female,33,0,0,110152,86.5,B77,S
+761,0,3,"Garfirth, Mr. John",male,,0,0,358585,14.5,,S
+762,0,3,"Nirva, Mr. Iisakki Antino Aijo",male,41,0,0,SOTON/O2 3101272,7.125,,S
+763,1,3,"Barah, Mr. Hanna Assi",male,20,0,0,2663,7.2292,,C
+764,1,1,"Carter, Mrs. William Ernest (Lucile Polk)",female,36,1,2,113760,120,B96 B98,S
+765,0,3,"Eklund, Mr. Hans Linus",male,16,0,0,347074,7.775,,S
+766,1,1,"Hogeboom, Mrs. John C (Anna Andrews)",female,51,1,0,13502,77.9583,D11,S
+767,0,1,"Brewe, Dr. Arthur Jackson",male,,0,0,112379,39.6,,C
+768,0,3,"Mangan, Miss. Mary",female,30.5,0,0,364850,7.75,,Q
+769,0,3,"Moran, Mr. Daniel J",male,,1,0,371110,24.15,,Q
+770,0,3,"Gronnestad, Mr. Daniel Danielsen",male,32,0,0,8471,8.3625,,S
+771,0,3,"Lievens, Mr. Rene Aime",male,24,0,0,345781,9.5,,S
+772,0,3,"Jensen, Mr. Niels Peder",male,48,0,0,350047,7.8542,,S
+773,0,2,"Mack, Mrs. (Mary)",female,57,0,0,S.O./P.P. 3,10.5,E77,S
+774,0,3,"Elias, Mr. Dibo",male,,0,0,2674,7.225,,C
+775,1,2,"Hocking, Mrs. Elizabeth (Eliza Needs)",female,54,1,3,29105,23,,S
+776,0,3,"Myhrman, Mr. Pehr Fabian Oliver Malkolm",male,18,0,0,347078,7.75,,S
+777,0,3,"Tobin, Mr. Roger",male,,0,0,383121,7.75,F38,Q
+778,1,3,"Emanuel, Miss. Virginia Ethel",female,5,0,0,364516,12.475,,S
+779,0,3,"Kilgannon, Mr. Thomas J",male,,0,0,36865,7.7375,,Q
+780,1,1,"Robert, Mrs. Edward Scott (Elisabeth Walton McMillan)",female,43,0,1,24160,211.3375,B3,S
+781,1,3,"Ayoub, Miss. Banoura",female,13,0,0,2687,7.2292,,C
+782,1,1,"Dick, Mrs. Albert Adrian (Vera Gillespie)",female,17,1,0,17474,57,B20,S
+783,0,1,"Long, Mr. Milton Clyde",male,29,0,0,113501,30,D6,S
+784,0,3,"Johnston, Mr. Andrew G",male,,1,2,W./C. 6607,23.45,,S
+785,0,3,"Ali, Mr. William",male,25,0,0,SOTON/O.Q. 3101312,7.05,,S
+786,0,3,"Harmer, Mr. Abraham (David Lishin)",male,25,0,0,374887,7.25,,S
+787,1,3,"Sjoblom, Miss. Anna Sofia",female,18,0,0,3101265,7.4958,,S
+788,0,3,"Rice, Master. George Hugh",male,8,4,1,382652,29.125,,Q
+789,1,3,"Dean, Master. Bertram Vere",male,1,1,2,C.A. 2315,20.575,,S
+790,0,1,"Guggenheim, Mr. Benjamin",male,46,0,0,PC 17593,79.2,B82 B84,C
+791,0,3,"Keane, Mr. Andrew ""Andy""",male,,0,0,12460,7.75,,Q
+792,0,2,"Gaskell, Mr. Alfred",male,16,0,0,239865,26,,S
+793,0,3,"Sage, Miss. Stella Anna",female,,8,2,CA. 2343,69.55,,S
+794,0,1,"Hoyt, Mr. William Fisher",male,,0,0,PC 17600,30.6958,,C
+795,0,3,"Dantcheff, Mr. Ristiu",male,25,0,0,349203,7.8958,,S
+796,0,2,"Otter, Mr. Richard",male,39,0,0,28213,13,,S
+797,1,1,"Leader, Dr. Alice (Farnham)",female,49,0,0,17465,25.9292,D17,S
+798,1,3,"Osman, Mrs. Mara",female,31,0,0,349244,8.6833,,S
+799,0,3,"Ibrahim Shawah, Mr. Yousseff",male,30,0,0,2685,7.2292,,C
+800,0,3,"Van Impe, Mrs. Jean Baptiste (Rosalie Paula Govaert)",female,30,1,1,345773,24.15,,S
+801,0,2,"Ponesell, Mr. Martin",male,34,0,0,250647,13,,S
+802,1,2,"Collyer, Mrs. Harvey (Charlotte Annie Tate)",female,31,1,1,C.A. 31921,26.25,,S
+803,1,1,"Carter, Master. William Thornton II",male,11,1,2,113760,120,B96 B98,S
+804,1,3,"Thomas, Master. Assad Alexander",male,0.42,0,1,2625,8.5167,,C
+805,1,3,"Hedman, Mr. Oskar Arvid",male,27,0,0,347089,6.975,,S
+806,0,3,"Johansson, Mr. Karl Johan",male,31,0,0,347063,7.775,,S
+807,0,1,"Andrews, Mr. Thomas Jr",male,39,0,0,112050,0,A36,S
+808,0,3,"Pettersson, Miss. Ellen Natalia",female,18,0,0,347087,7.775,,S
+809,0,2,"Meyer, Mr. August",male,39,0,0,248723,13,,S
+810,1,1,"Chambers, Mrs. Norman Campbell (Bertha Griggs)",female,33,1,0,113806,53.1,E8,S
+811,0,3,"Alexander, Mr. William",male,26,0,0,3474,7.8875,,S
+812,0,3,"Lester, Mr. James",male,39,0,0,A/4 48871,24.15,,S
+813,0,2,"Slemen, Mr. Richard James",male,35,0,0,28206,10.5,,S
+814,0,3,"Andersson, Miss. Ebba Iris Alfrida",female,6,4,2,347082,31.275,,S
+815,0,3,"Tomlin, Mr. Ernest Portage",male,30.5,0,0,364499,8.05,,S
+816,0,1,"Fry, Mr. Richard",male,,0,0,112058,0,B102,S
+817,0,3,"Heininen, Miss. Wendla Maria",female,23,0,0,STON/O2. 3101290,7.925,,S
+818,0,2,"Mallet, Mr. Albert",male,31,1,1,S.C./PARIS 2079,37.0042,,C
+819,0,3,"Holm, Mr. John Fredrik Alexander",male,43,0,0,C 7075,6.45,,S
+820,0,3,"Skoog, Master. Karl Thorsten",male,10,3,2,347088,27.9,,S
+821,1,1,"Hays, Mrs. Charles Melville (Clara Jennings Gregg)",female,52,1,1,12749,93.5,B69,S
+822,1,3,"Lulic, Mr. Nikola",male,27,0,0,315098,8.6625,,S
+823,0,1,"Reuchlin, Jonkheer. John George",male,38,0,0,19972,0,,S
+824,1,3,"Moor, Mrs. (Beila)",female,27,0,1,392096,12.475,E121,S
+825,0,3,"Panula, Master. Urho Abraham",male,2,4,1,3101295,39.6875,,S
+826,0,3,"Flynn, Mr. John",male,,0,0,368323,6.95,,Q
+827,0,3,"Lam, Mr. Len",male,,0,0,1601,56.4958,,S
+828,1,2,"Mallet, Master. Andre",male,1,0,2,S.C./PARIS 2079,37.0042,,C
+829,1,3,"McCormack, Mr. Thomas Joseph",male,,0,0,367228,7.75,,Q
+830,1,1,"Stone, Mrs. George Nelson (Martha Evelyn)",female,62,0,0,113572,80,B28,
+831,1,3,"Yasbeck, Mrs. Antoni (Selini Alexander)",female,15,1,0,2659,14.4542,,C
+832,1,2,"Richards, Master. George Sibley",male,0.83,1,1,29106,18.75,,S
+833,0,3,"Saad, Mr. Amin",male,,0,0,2671,7.2292,,C
+834,0,3,"Augustsson, Mr. Albert",male,23,0,0,347468,7.8542,,S
+835,0,3,"Allum, Mr. Owen George",male,18,0,0,2223,8.3,,S
+836,1,1,"Compton, Miss. Sara Rebecca",female,39,1,1,PC 17756,83.1583,E49,C
+837,0,3,"Pasic, Mr. Jakob",male,21,0,0,315097,8.6625,,S
+838,0,3,"Sirota, Mr. Maurice",male,,0,0,392092,8.05,,S
+839,1,3,"Chip, Mr. Chang",male,32,0,0,1601,56.4958,,S
+840,1,1,"Marechal, Mr. Pierre",male,,0,0,11774,29.7,C47,C
+841,0,3,"Alhomaki, Mr. Ilmari Rudolf",male,20,0,0,SOTON/O2 3101287,7.925,,S
+842,0,2,"Mudd, Mr. Thomas Charles",male,16,0,0,S.O./P.P. 3,10.5,,S
+843,1,1,"Serepeca, Miss. Augusta",female,30,0,0,113798,31,,C
+844,0,3,"Lemberopolous, Mr. Peter L",male,34.5,0,0,2683,6.4375,,C
+845,0,3,"Culumovic, Mr. Jeso",male,17,0,0,315090,8.6625,,S
+846,0,3,"Abbing, Mr. Anthony",male,42,0,0,C.A. 5547,7.55,,S
+847,0,3,"Sage, Mr. Douglas Bullen",male,,8,2,CA. 2343,69.55,,S
+848,0,3,"Markoff, Mr. Marin",male,35,0,0,349213,7.8958,,C
+849,0,2,"Harper, Rev. John",male,28,0,1,248727,33,,S
+850,1,1,"Goldenberg, Mrs. Samuel L (Edwiga Grabowska)",female,,1,0,17453,89.1042,C92,C
+851,0,3,"Andersson, Master. Sigvard Harald Elias",male,4,4,2,347082,31.275,,S
+852,0,3,"Svensson, Mr. Johan",male,74,0,0,347060,7.775,,S
+853,0,3,"Boulos, Miss. Nourelain",female,9,1,1,2678,15.2458,,C
+854,1,1,"Lines, Miss. Mary Conover",female,16,0,1,PC 17592,39.4,D28,S
+855,0,2,"Carter, Mrs. Ernest Courtenay (Lilian Hughes)",female,44,1,0,244252,26,,S
+856,1,3,"Aks, Mrs. Sam (Leah Rosen)",female,18,0,1,392091,9.35,,S
+857,1,1,"Wick, Mrs. George Dennick (Mary Hitchcock)",female,45,1,1,36928,164.8667,,S
+858,1,1,"Daly, Mr. Peter Denis ",male,51,0,0,113055,26.55,E17,S
+859,1,3,"Baclini, Mrs. Solomon (Latifa Qurban)",female,24,0,3,2666,19.2583,,C
+860,0,3,"Razi, Mr. Raihed",male,,0,0,2629,7.2292,,C
+861,0,3,"Hansen, Mr. Claus Peter",male,41,2,0,350026,14.1083,,S
+862,0,2,"Giles, Mr. Frederick Edward",male,21,1,0,28134,11.5,,S
+863,1,1,"Swift, Mrs. Frederick Joel (Margaret Welles Barron)",female,48,0,0,17466,25.9292,D17,S
+864,0,3,"Sage, Miss. Dorothy Edith ""Dolly""",female,,8,2,CA. 2343,69.55,,S
+865,0,2,"Gill, Mr. John William",male,24,0,0,233866,13,,S
+866,1,2,"Bystrom, Mrs. (Karolina)",female,42,0,0,236852,13,,S
+867,1,2,"Duran y More, Miss. Asuncion",female,27,1,0,SC/PARIS 2149,13.8583,,C
+868,0,1,"Roebling, Mr. Washington Augustus II",male,31,0,0,PC 17590,50.4958,A24,S
+869,0,3,"van Melkebeke, Mr. Philemon",male,,0,0,345777,9.5,,S
+870,1,3,"Johnson, Master. Harold Theodor",male,4,1,1,347742,11.1333,,S
+871,0,3,"Balkic, Mr. Cerin",male,26,0,0,349248,7.8958,,S
+872,1,1,"Beckwith, Mrs. Richard Leonard (Sallie Monypeny)",female,47,1,1,11751,52.5542,D35,S
+873,0,1,"Carlsson, Mr. Frans Olof",male,33,0,0,695,5,B51 B53 B55,S
+874,0,3,"Vander Cruyssen, Mr. Victor",male,47,0,0,345765,9,,S
+875,1,2,"Abelson, Mrs. Samuel (Hannah Wizosky)",female,28,1,0,P/PP 3381,24,,C
+876,1,3,"Najib, Miss. Adele Kiamie ""Jane""",female,15,0,0,2667,7.225,,C
+877,0,3,"Gustafsson, Mr. Alfred Ossian",male,20,0,0,7534,9.8458,,S
+878,0,3,"Petroff, Mr. Nedelio",male,19,0,0,349212,7.8958,,S
+879,0,3,"Laleff, Mr. Kristo",male,,0,0,349217,7.8958,,S
+880,1,1,"Potter, Mrs. Thomas Jr (Lily Alexenia Wilson)",female,56,0,1,11767,83.1583,C50,C
+881,1,2,"Shelley, Mrs. William (Imanita Parrish Hall)",female,25,0,1,230433,26,,S
+882,0,3,"Markun, Mr. Johann",male,33,0,0,349257,7.8958,,S
+883,0,3,"Dahlberg, Miss. Gerda Ulrika",female,22,0,0,7552,10.5167,,S
+884,0,2,"Banfield, Mr. Frederick James",male,28,0,0,C.A./SOTON 34068,10.5,,S
+885,0,3,"Sutehall, Mr. Henry Jr",male,25,0,0,SOTON/OQ 392076,7.05,,S
+886,0,3,"Rice, Mrs. William (Margaret Norton)",female,39,0,5,382652,29.125,,Q
+887,0,2,"Montvila, Rev. Juozas",male,27,0,0,211536,13,,S
+888,1,1,"Graham, Miss. Margaret Edith",female,19,0,0,112053,30,B42,S
+889,0,3,"Johnston, Miss. Catherine Helen ""Carrie""",female,,1,2,W./C. 6607,23.45,,S
+890,1,1,"Behr, Mr. Karl Howell",male,26,0,0,111369,30,C148,C
+891,0,3,"Dooley, Mr. Patrick",male,32,0,0,370376,7.75,,Q
diff --git a/doc/source/_static/css/getting_started.css b/doc/source/_static/css/getting_started.css
new file mode 100644
index 0000000000000..bb24761cdb159
--- /dev/null
+++ b/doc/source/_static/css/getting_started.css
@@ -0,0 +1,251 @@
+/* Getting started pages */
+
+/* data intro */
+.gs-data {
+ font-size: 0.9rem;
+}
+
+.gs-data-title {
+ align-items: center;
+ font-size: 0.9rem;
+}
+
+.gs-data-title .badge {
+ margin: 10px;
+ padding: 5px;
+}
+
+.gs-data .badge {
+ cursor: pointer;
+ padding: 10px;
+ border: none;
+ text-align: left;
+ outline: none;
+ font-size: 12px;
+}
+
+.gs-data .btn {
+ background-color: grey;
+ border: none;
+}
+
+/* note/alert properties */
+
+.alert-heading {
+ font-size: 1.2rem;
+}
+
+/* callout properties */
+.gs-callout {
+ padding: 20px;
+ margin: 20px 0;
+ border: 1px solid #eee;
+ border-left-width: 5px;
+ border-radius: 3px;
+}
+.gs-callout h4 {
+ margin-top: 0;
+ margin-bottom: 5px;
+}
+.gs-callout p:last-child {
+ margin-bottom: 0;
+}
+.gs-callout code {
+ border-radius: 3px;
+}
+.gs-callout+.gs-callout {
+ margin-top: -5px;
+}
+.gs-callout-remember {
+ border-left-color: #f0ad4e;
+ align-items: center;
+ font-size: 1.2rem;
+}
+.gs-callout-remember h4 {
+ color: #f0ad4e;
+}
+
+/* reference to user guide */
+.gs-torefguide {
+ align-items: center;
+ font-size: 0.9rem;
+}
+
+.gs-torefguide .badge {
+ background-color: #130654;
+ margin: 10px 10px 10px 0px;
+ padding: 5px;
+}
+
+.gs-torefguide a {
+ margin-left: 5px;
+ color: #130654;
+ border-bottom: 1px solid #FFCA00f3;
+ box-shadow: 0px -10px 0px #FFCA00f3 inset;
+}
+
+.gs-torefguide p {
+ margin-top: 1rem;
+}
+
+.gs-torefguide a:hover {
+ margin-left: 5px;
+ color: grey;
+ text-decoration: none;
+ border-bottom: 1px solid #b2ff80f3;
+ box-shadow: 0px -10px 0px #b2ff80f3 inset;
+}
+
+/* question-task environment */
+
+ul.task-bullet, ol.custom-bullet{
+ list-style:none;
+ padding-left: 0;
+ margin-top: 2em;
+}
+
+ul.task-bullet > li:before {
+ content:"";
+ height:2em;
+ width:2em;
+ display:block;
+ float:left;
+ margin-left:-2em;
+ background-position:center;
+ background-repeat:no-repeat;
+ background-color: #130654;
+ border-radius: 50%;
+ background-size:100%;
+ background-image:url('../question_mark_noback.svg');
+ }
+
+ul.task-bullet > li {
+ border-left: 1px solid #130654;
+ padding-left:1em;
+}
+
+ul.task-bullet > li > p:first-child {
+ font-size: 1.1rem;
+ padding-left: 0.75rem;
+}
+
+/* Getting started index page */
+
+.intro-card {
+ background:#FFF;
+ border-radius:0;
+ padding: 30px 10px 10px 10px;
+ margin: 10px 0px;
+}
+
+.intro-card .card-text {
+ margin:20px 0px;
+ /*min-height: 150px; */
+}
+
+.intro-card .card-img-top {
+ margin: 10px;
+}
+
+.install-block {
+ padding-bottom: 30px;
+}
+
+.install-card .card-header {
+ border: none;
+ background-color:white;
+ color: #150458;
+ font-size: 1.1rem;
+ font-weight: bold;
+ padding: 1rem 1rem 0rem 1rem;
+}
+
+.install-card .card-footer {
+ border: none;
+ background-color:white;
+}
+
+.install-card pre {
+ margin: 0 1em 1em 1em;
+}
+
+.custom-button {
+ background-color:#DCDCDC;
+ border: none;
+ color: #484848;
+ text-align: center;
+ text-decoration: none;
+ display: inline-block;
+ font-size: 0.9rem;
+ border-radius: 0.5rem;
+ max-width: 120px;
+ padding: 0.5rem 0rem;
+}
+
+.custom-button a {
+ color: #484848;
+}
+
+.custom-button p {
+ margin-top: 0;
+ margin-bottom: 0rem;
+ color: #484848;
+}
+
+/* intro to tutorial collapsed cards */
+
+.tutorial-accordion {
+ margin-top: 20px;
+ margin-bottom: 20px;
+}
+
+.tutorial-card .card-header.card-link .btn {
+ margin-right: 12px;
+}
+
+.tutorial-card .card-header.card-link .btn:after {
+ content: "-";
+}
+
+.tutorial-card .card-header.card-link.collapsed .btn:after {
+ content: "+";
+}
+
+.tutorial-card-header-1 {
+ justify-content: space-between;
+ align-items: center;
+}
+
+.tutorial-card-header-2 {
+ justify-content: flex-start;
+ align-items: center;
+ font-size: 1.3rem;
+}
+
+.tutorial-card .card-header {
+ cursor: pointer;
+ background-color: white;
+}
+
+.tutorial-card .card-body {
+ background-color: #F0F0F0;
+}
+
+.tutorial-card .badge {
+ background-color: #130654;
+ margin: 10px 10px 10px 10px;
+ padding: 5px;
+}
+
+.tutorial-card .gs-badge-link p {
+ margin: 0px;
+}
+
+.tutorial-card .gs-badge-link a {
+ color: white;
+ text-decoration: none;
+}
+
+.tutorial-card .badge:hover {
+ background-color: grey;
+}
diff --git a/doc/source/_static/logo_r.svg b/doc/source/_static/logo_r.svg
new file mode 100644
index 0000000000000..389b03c113e0f
--- /dev/null
+++ b/doc/source/_static/logo_r.svg
@@ -0,0 +1,14 @@
+<svg xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" preserveAspectRatio="xMidYMid" width="724" height="561" viewBox="0 0 724 561">
+ <defs>
+ <linearGradient id="gradientFill-1" x1="0" x2="1" y1="0" y2="1" gradientUnits="objectBoundingBox" spreadMethod="pad">
+ <stop offset="0" stop-color="rgb(203,206,208)" stop-opacity="1"/>
+ <stop offset="1" stop-color="rgb(132,131,139)" stop-opacity="1"/>
+ </linearGradient>
+ <linearGradient id="gradientFill-2" x1="0" x2="1" y1="0" y2="1" gradientUnits="objectBoundingBox" spreadMethod="pad">
+ <stop offset="0" stop-color="rgb(39,109,195)" stop-opacity="1"/>
+ <stop offset="1" stop-color="rgb(22,92,170)" stop-opacity="1"/>
+ </linearGradient>
+ </defs>
+ <path d="M361.453,485.937 C162.329,485.937 0.906,377.828 0.906,244.469 C0.906,111.109 162.329,3.000 361.453,3.000 C560.578,3.000 722.000,111.109 722.000,244.469 C722.000,377.828 560.578,485.937 361.453,485.937 ZM416.641,97.406 C265.289,97.406 142.594,171.314 142.594,262.484 C142.594,353.654 265.289,427.562 416.641,427.562 C567.992,427.562 679.687,377.033 679.687,262.484 C679.687,147.971 567.992,97.406 416.641,97.406 Z" fill="url(#gradientFill-1)" fill-rule="evenodd"/>
+ <path d="M550.000,377.000 C550.000,377.000 571.822,383.585 584.500,390.000 C588.899,392.226 596.510,396.668 602.000,402.500 C607.378,408.212 610.000,414.000 610.000,414.000 L696.000,559.000 L557.000,559.062 L492.000,437.000 C492.000,437.000 478.690,414.131 470.500,407.500 C463.668,401.969 460.755,400.000 454.000,400.000 C449.298,400.000 420.974,400.000 420.974,400.000 L421.000,558.974 L298.000,559.026 L298.000,152.938 L545.000,152.938 C545.000,152.938 657.500,154.967 657.500,262.000 C657.500,369.033 550.000,377.000 550.000,377.000 ZM496.500,241.024 L422.037,240.976 L422.000,310.026 L496.500,310.002 C496.500,310.002 531.000,309.895 531.000,274.877 C531.000,239.155 496.500,241.024 496.500,241.024 Z" fill="url(#gradientFill-2)" fill-rule="evenodd"/>
+</svg>
diff --git a/doc/source/_static/logo_sas.svg b/doc/source/_static/logo_sas.svg
new file mode 100644
index 0000000000000..d14fa105d49d6
--- /dev/null
+++ b/doc/source/_static/logo_sas.svg
@@ -0,0 +1,9 @@
+<?xml version="1.0" encoding="UTF-8" standalone="no"?>
+<!-- Created with Inkscape (http://www.inkscape.org/) by Marsupilami -->
+<svg xmlns:svg="http://www.w3.org/2000/svg" xmlns="http://www.w3.org/2000/svg" version="1.0" width="1024" height="420" viewBox="0 0 129.24898 53.067852" id="svg2320">
+ <defs id="defs2322"/>
+ <g transform="translate(-310.37551,-505.82825)" id="layer1">
+ <path d="M 18.46875,0 C 16.638866,-0.041377236 14.748438,0.1725 12.8125,0.65625 C 3.86,2.8925 -6.16125,14.40875 4.78125,27.6875 L 11.3125,35.59375 L 13.15625,37.84375 C 14.39375,39.315 16.41875,39.28875 17.90625,38.0625 C 19.40125,36.829998 19.82625,34.80875 18.59375,33.3125 C 18.592173,33.310397 18.071121,32.679752 17.84375,32.40625 L 17.875,32.40625 C 17.402936,31.838361 17.300473,31.743127 16.8125,31.15625 C 14.448752,28.313409 11.75,25.03125 11.75,25.03125 C 6.9987503,19.265 9.11875,12.14125 15.5625,8.09375 C 21.24,4.5275001 31.65875,5.80125 35.25,11.65625 C 32.988202,4.9805465 26.398246,0.17930136 18.46875,0 z M 19.78125,13.9375 C 18.937031,13.90875 18.055625,14.230625 17.3125,14.84375 C 15.815001,16.0775 15.39375,18.10125 16.625,19.59375 C 16.627499,19.597501 16.77625,19.7825 17.03125,20.09375 C 19.863614,23.496657 23.625,28.0625 23.625,28.0625 C 28.3775,33.82875 26.25625,40.92125 19.8125,44.96875 C 14.136251,48.53375 3.71625,47.2575 0.125,41.40625 C 2.90875,49.618751 12.23875,54.9875 22.5625,52.40625 C 31.5175,50.166248 41.53625,38.6825 30.59375,25.40625 L 22.9375,16.15625 L 22.0625,15.0625 C 21.44375,14.326875 20.625469,13.96625 19.78125,13.9375 z " transform="translate(310.37551,505.82825)" style="fill:#007cc2;fill-opacity:1;fill-rule:nonzero;stroke:none" id="path2440"/>
+ <path d="M 53.53125,6.3125 C 47.8625,6.3125 41.374998,9.2362506 41.375,16.28125 C 41.375,22.9875 46.708752,24.869999 52,26.15625 C 57.355,27.4425 62.656249,28.187498 62.65625,32.65625 C 62.65625,37.05875 58.121251,37.875002 54.78125,37.875 C 50.3725,37.875 46.218751,36.27125 46.03125,31.125 L 40.6875,31.125 C 41,39.79375 47.161249,42.968749 54.46875,42.96875 C 61.085,42.96875 68.343749,40.27125 68.34375,31.9375 C 68.34375,25.16375 63.041251,23.25625 57.6875,21.96875 C 52.7125,20.6825 47.031249,20.00625 47.03125,15.875 C 47.03125,12.3525 50.75625,11.40625 53.96875,11.40625 C 57.49875,11.40625 61.151251,12.810001 61.53125,17.28125 L 66.875,17.28125 C 66.435,8.74625 60.712498,6.3125001 53.53125,6.3125 z M 84.40625,6.3125 C 77.159998,6.3125001 70.90625,9.3625 70.59375,18.03125 L 75.9375,18.03125 C 76.190003,12.883749 79.5275,11.40625 84.0625,11.40625 C 87.466253,11.40625 91.3125,12.20625 91.3125,17.21875 C 91.312501,21.553749 86.2975,21.155 80.375,22.375 C 74.833751,23.526251 69.34375,25.23 69.34375,33.15625 C 69.343748,40.133748 74.20125,42.96875 80.125,42.96875 C 84.656249,42.968749 88.6025,41.255 91.5625,37.53125 C 91.562499,41.322498 93.3525,42.96875 96.125,42.96875 C 97.823751,42.968749 98.9925,42.60875 99.9375,42 L 99.9375,37.53125 C 99.244997,37.802498 98.7525,37.875 98.3125,37.875 C 96.612501,37.875002 96.625,36.68 96.625,33.96875 L 96.625,15.9375 C 96.624998,7.7424996 90.265,6.3125 84.40625,6.3125 z M 112.40625,6.3125 C 106.7375,6.3125 100.25,9.2362506 100.25,16.28125 C 100.25,22.9875 105.61625,24.869999 110.90625,26.15625 C 116.2625,27.4425 121.5625,28.187498 121.5625,32.65625 C 121.5625,37.05875 117.02625,37.875002 113.6875,37.875 C 109.2775,37.875 105.125,36.27125 104.9375,31.125 L 99.5625,31.125 C 99.87625,39.79375 106.06875,42.968749 113.375,42.96875 C 119.9875,42.96875 127.21875,40.27125 127.21875,31.9375 C 127.21875,25.16375 121.91625,23.25625 116.5625,21.96875 C 111.58875,20.6825 105.9375,20.00625 105.9375,15.875 C 105.9375,12.3525 109.63125,11.40625 112.84375,11.40625 C 116.37,11.40625 120.025,12.810001 120.40625,17.28125 L 125.78125,17.28125 C 125.3425,8.74625 119.59,6.3125001 112.40625,6.3125 z M 91.25,24.0625 L 91.25,29.96875 C 91.25,33.1525 88.36875,37.875 81.3125,37.875 C 78.040002,37.875002 75,36.51375 75,32.71875 C 75.000003,28.452501 78.0375,27.115 81.5625,26.4375 C 85.15375,25.761251 89.1725,25.6875 91.25,24.0625 z M 38.21875,39.40625 C 37.088748,39.406249 36.125,40.28375 36.125,41.46875 C 36.125001,42.658749 37.08875,43.53125 38.21875,43.53125 C 39.338748,43.53125 40.28125,42.65875 40.28125,41.46875 C 40.281252,40.283749 39.33875,39.40625 38.21875,39.40625 z M 127.15625,39.40625 C 126.0225,39.406249 125.0625,40.285 125.0625,41.46875 C 125.0625,42.66 126.0225,43.53125 127.15625,43.53125 C 128.275,43.53125 129.25,42.66 129.25,41.46875 C 129.25,40.285 128.275,39.40625 127.15625,39.40625 z M 38.21875,39.75 C 39.146248,39.750002 39.875,40.49 39.875,41.46875 C 39.875,42.456249 39.14625,43.1875 38.21875,43.1875 C 37.273748,43.187501 36.53125,42.45625 36.53125,41.46875 C 36.53125,40.489999 37.27375,39.75 38.21875,39.75 z M 127.15625,39.75 C 128.08375,39.750002 128.84375,40.49125 128.84375,41.46875 C 128.84375,42.4575 128.08375,43.1875 127.15625,43.1875 C 126.21,43.187499 125.5,42.4575 125.5,41.46875 C 125.5,40.49125 126.21,39.75 127.15625,39.75 z M 37.40625,40.28125 L 37.40625,42.65625 L 37.78125,42.65625 L 37.78125,41.625 L 38.1875,41.625 L 38.8125,42.65625 L 39.21875,42.65625 L 38.53125,41.59375 C 38.88375,41.553751 39.15625,41.395 39.15625,40.96875 C 39.156251,40.49875 38.8775,40.28125 38.3125,40.28125 L 37.40625,40.28125 z M 126.375,40.28125 L 126.375,42.65625 L 126.71875,42.65625 L 126.71875,41.625 L 127.15625,41.625 L 127.78125,42.65625 L 128.1875,42.65625 L 127.5,41.59375 C 127.84625,41.554998 128.125,41.395 128.125,40.96875 C 128.125,40.49875 127.8425,40.28125 127.28125,40.28125 L 126.375,40.28125 z M 37.78125,40.59375 L 38.28125,40.59375 C 38.528749,40.593749 38.78125,40.6425 38.78125,40.9375 C 38.78125,41.300001 38.5275,41.3125 38.21875,41.3125 L 37.78125,41.3125 L 37.78125,40.59375 z M 126.71875,40.59375 L 127.21875,40.59375 C 127.47125,40.593749 127.75,40.64125 127.75,40.9375 C 127.75,41.300001 127.4625,41.3125 127.15625,41.3125 L 126.71875,41.3125 L 126.71875,40.59375 z " transform="translate(310.37551,505.82825)" style="fill:#000000;fill-opacity:1;fill-rule:nonzero;stroke:none" id="path2448"/>
+ </g>
+<head xmlns=""/></svg>
\ No newline at end of file
diff --git a/doc/source/_static/logo_sql.svg b/doc/source/_static/logo_sql.svg
new file mode 100644
index 0000000000000..4a5b7d0b1b943
--- /dev/null
+++ b/doc/source/_static/logo_sql.svg
@@ -0,0 +1,73 @@
+<?xml version="1.0" encoding="UTF-8" standalone="no"?>
+<!-- Generated by IcoMoon.io -->
+
+<svg
+ xmlns:dc="http://purl.org/dc/elements/1.1/"
+ xmlns:cc="http://creativecommons.org/ns#"
+ xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#"
+ xmlns:svg="http://www.w3.org/2000/svg"
+ xmlns="http://www.w3.org/2000/svg"
+ xmlns:sodipodi="http://sodipodi.sourceforge.net/DTD/sodipodi-0.dtd"
+ xmlns:inkscape="http://www.inkscape.org/namespaces/inkscape"
+ version="1.1"
+ width="20.558033"
+ height="29.264381"
+ viewBox="0 0 20.558033 29.264382"
+ id="svg4"
+ sodipodi:docname="logo_sql.svg"
+ inkscape:version="0.92.4 (f8dce91, 2019-08-02)">
+ <metadata
+ id="metadata10">
+ <rdf:RDF>
+ <cc:Work
+ rdf:about="">
+ <dc:format>image/svg+xml</dc:format>
+ <dc:type
+ rdf:resource="http://purl.org/dc/dcmitype/StillImage" />
+ <dc:title></dc:title>
+ </cc:Work>
+ </rdf:RDF>
+ </metadata>
+ <defs
+ id="defs8" />
+ <sodipodi:namedview
+ pagecolor="#ffffff"
+ bordercolor="#666666"
+ borderopacity="1"
+ objecttolerance="10"
+ gridtolerance="10"
+ guidetolerance="10"
+ inkscape:pageopacity="0"
+ inkscape:pageshadow="2"
+ inkscape:window-width="1871"
+ inkscape:window-height="1029"
+ id="namedview6"
+ showgrid="false"
+ fit-margin-top="0"
+ fit-margin-left="0"
+ fit-margin-right="0"
+ fit-margin-bottom="0"
+ inkscape:zoom="16.68772"
+ inkscape:cx="-2.295492"
+ inkscape:cy="16.594944"
+ inkscape:window-x="1649"
+ inkscape:window-y="27"
+ inkscape:window-maximized="1"
+ inkscape:current-layer="svg4" />
+ <path
+ d="m 18.846017,1.608 c -0.497,-0.326 -1.193,-0.615 -2.069,-0.858 -1.742,-0.484 -4.05,-0.75 -6.498,-0.75 -2.4480004,0 -4.7560004,0.267 -6.4980004,0.75 -0.877,0.243 -1.573,0.532 -2.069,0.858 -0.619,0.407 -0.93299996,0.874 -0.93299996,1.391 v 12 c 0,0.517 0.31399996,0.985 0.93299996,1.391 0.497,0.326 1.193,0.615 2.069,0.858 1.742,0.484 4.05,0.75 6.4980004,0.75 2.448,0 4.756,-0.267 6.498,-0.751 0.877,-0.243 1.573,-0.532 2.069,-0.858 0.619,-0.406 0.933,-0.874 0.933,-1.391 v -12 c 0,-0.517 -0.314,-0.985 -0.933,-1.391 z M 4.0490166,1.713 c 1.658,-0.46 3.87,-0.714 6.2300004,-0.714 2.36,0 4.573,0.254 6.23,0.714 1.795,0.499 2.27,1.059 2.27,1.286 0,0.227 -0.474,0.787 -2.27,1.286 -1.658,0.46 -3.87,0.714 -6.23,0.714 -2.3600004,0 -4.5730004,-0.254 -6.2300004,-0.714 -1.795,-0.499 -2.27,-1.059 -2.27,-1.286 0,-0.227 0.474,-0.787 2.27,-1.286 z M 16.509017,16.285 c -1.658,0.46 -3.87,0.714 -6.23,0.714 -2.3600004,0 -4.5730004,-0.254 -6.2300004,-0.714 -1.795,-0.499 -2.27,-1.059 -2.27,-1.286 v -2.566 c 0.492,0.309 1.164,0.583 2.002,0.816 1.742,0.484 4.05,0.75 6.4980004,0.75 2.448,0 4.756,-0.267 6.498,-0.751 0.838,-0.233 1.511,-0.507 2.002,-0.816 v 2.566 c 0,0.227 -0.474,0.787 -2.27,1.286 z m 0,-4 c -1.658,0.46 -3.87,0.714 -6.23,0.714 -2.3600004,0 -4.5730004,-0.254 -6.2300004,-0.714 -1.795,-0.499 -2.27,-1.059 -2.27,-1.286 V 8.433 c 0.492,0.309 1.164,0.583 2.002,0.816 1.742,0.484 4.05,0.75 6.4980004,0.75 2.448,0 4.756,-0.267 6.498,-0.75 0.838,-0.233 1.511,-0.507 2.002,-0.816 v 2.566 c 0,0.227 -0.474,0.787 -2.27,1.286 z m 0,-4 c -1.658,0.46 -3.87,0.714 -6.23,0.714 -2.3600004,0 -4.5730004,-0.254 -6.2300004,-0.714 -1.795,-0.499 -2.27,-1.059 -2.27,-1.286 V 4.433 c 0.492,0.309 1.164,0.583 2.002,0.816 1.742,0.484 4.05,0.75 6.4980004,0.75 2.448,0 4.756,-0.267 6.498,-0.75 0.838,-0.233 1.511,-0.507 2.002,-0.816 v 2.566 c 0,0.227 -0.474,0.787 -2.27,1.286 z"
+ id="path2"
+ inkscape:connector-curvature="0"
+ style="fill:#000000" />
+ <text
+ xml:space="preserve"
+ style="font-style:normal;font-weight:normal;font-size:32.32878494px;line-height:1.25;font-family:sans-serif;letter-spacing:0px;word-spacing:0px;fill:#000000;fill-opacity:1;stroke:none;stroke-width:0.99999994"
+ x="-0.71034926"
+ y="27.875254"
+ id="text819"><tspan
+ sodipodi:role="line"
+ id="tspan817"
+ x="-0.71034926"
+ y="27.875254"
+ style="font-size:10.77626133px;stroke-width:0.99999994">SQL</tspan></text>
+</svg>
diff --git a/doc/source/_static/logo_stata.svg b/doc/source/_static/logo_stata.svg
new file mode 100644
index 0000000000000..a6e3f1d221959
--- /dev/null
+++ b/doc/source/_static/logo_stata.svg
@@ -0,0 +1,17 @@
+<svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 415.27 95.89">
+ <defs>
+ <style>
+ .cls-1 {
+ fill: #135f90;
+ }
+ </style>
+ </defs>
+ <title>stata-logo-blue</title>
+ <g id="Foreground">
+ <path class="cls-1" d="M94.23,0l-8,21.31H29.3a8,8,0,0,0,0,16H64.93a29.3,29.3,0,0,1,0,58.6H0L8,74.58H64.93a8,8,0,1,0,0-16H29.3A29.3,29.3,0,0,1,29.3,0Z"/>
+ <polygon class="cls-1" points="259.9 0 251.91 21.31 278.55 21.31 278.55 95.89 299.86 95.89 299.86 21.31 321.16 21.31 329.15 0 259.9 0"/>
+ <path class="cls-1" d="M386,58.6H345a8,8,0,0,0,0,16h49v-16ZM366.31,37.29H394V29a8,8,0,0,0-8-7.65H323.69l8-21.31H386a29.3,29.3,0,0,1,29.3,29.3V95.89H345a29.3,29.3,0,0,1,0-58.6Z"/>
+ <path class="cls-1" d="M222.8,58.6h-41a8,8,0,1,0,0,16h48.95v-16ZM212.14,37.29H230.8V29a8,8,0,0,0-8-7.65H160.53l8-21.31H222.8a29.3,29.3,0,0,1,29.3,29.3V95.89H181.84a29.3,29.3,0,0,1,0-58.6Z"/>
+ <polygon class="cls-1" points="96.73 0 88.74 21.31 115.38 21.31 115.38 95.89 136.69 95.89 136.69 21.31 158 21.31 165.99 0 96.73 0"/>
+ </g>
+<head xmlns=""/></svg>
\ No newline at end of file
diff --git a/doc/source/_static/schemas/01_table_dataframe.svg b/doc/source/_static/schemas/01_table_dataframe.svg
new file mode 100644
index 0000000000000..9bd1c217b3ca2
--- /dev/null
+++ b/doc/source/_static/schemas/01_table_dataframe.svg
@@ -0,0 +1,262 @@
+<?xml version="1.0" encoding="UTF-8" standalone="no"?>
+<!-- Created with Inkscape (http://www.inkscape.org/) -->
+
+<svg
+ xmlns:dc="http://purl.org/dc/elements/1.1/"
+ xmlns:cc="http://creativecommons.org/ns#"
+ xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#"
+ xmlns:svg="http://www.w3.org/2000/svg"
+ xmlns="http://www.w3.org/2000/svg"
+ xmlns:sodipodi="http://sodipodi.sourceforge.net/DTD/sodipodi-0.dtd"
+ xmlns:inkscape="http://www.inkscape.org/namespaces/inkscape"
+ width="143.19496mm"
+ height="104.30615mm"
+ viewBox="0 0 143.19496 104.30615"
+ version="1.1"
+ id="svg10280"
+ inkscape:version="0.92.4 (f8dce91, 2019-08-02)"
+ sodipodi:docname="01_table_dataframe.svg">
+ <defs
+ id="defs10274" />
+ <sodipodi:namedview
+ id="base"
+ pagecolor="#ffffff"
+ bordercolor="#666666"
+ borderopacity="1.0"
+ inkscape:pageopacity="0.0"
+ inkscape:pageshadow="2"
+ inkscape:zoom="0.7"
+ inkscape:cx="355.65317"
+ inkscape:cy="142.80245"
+ inkscape:document-units="mm"
+ inkscape:current-layer="layer1"
+ showgrid="false"
+ inkscape:window-width="1551"
+ inkscape:window-height="849"
+ inkscape:window-x="49"
+ inkscape:window-y="27"
+ inkscape:window-maximized="1"
+ fit-margin-top="0"
+ fit-margin-left="0"
+ fit-margin-right="0"
+ fit-margin-bottom="0" />
+ <metadata
+ id="metadata10277">
+ <rdf:RDF>
+ <cc:Work
+ rdf:about="">
+ <dc:format>image/svg+xml</dc:format>
+ <dc:type
+ rdf:resource="http://purl.org/dc/dcmitype/StillImage" />
+ <dc:title />
+ </cc:Work>
+ </rdf:RDF>
+ </metadata>
+ <g
+ inkscape:label="Layer 1"
+ inkscape:groupmode="layer"
+ id="layer1"
+ transform="translate(-22.613419,-96.097789)">
+ <g
+ id="g888"
+ transform="matrix(0.89990753,0,0,0.9,9.4364163,14.825088)"
+ style="stroke-width:1.11116815">
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-1"
+ style="fill:#afabab;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56897205;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="M 23.647349,141.16281 H 48.53529 V 128.97485 H 23.647349 Z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-7"
+ style="fill:#afabab;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56897205;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="M 50.063339,127.4468 H 74.951291 V 115.25884 H 50.063339 Z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-1-9"
+ style="fill:#afabab;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56897205;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="M 50.063339,141.16281 H 74.951291 V 128.97485 H 50.063339 Z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-2"
+ style="fill:#afabab;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56897205;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="M 23.647339,153.86281 H 48.53529 V 141.67486 H 23.647339 Z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-7-5"
+ style="fill:#afabab;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56897205;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="M 50.063339,153.86281 H 74.951291 V 141.67486 H 50.063339 Z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-6"
+ style="fill:#afabab;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56897205;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="M 75.463341,127.4468 H 100.3513 V 115.25884 H 75.463341 Z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-1-5"
+ style="fill:#afabab;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56897205;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="M 75.463341,141.16281 H 100.3513 V 128.97485 H 75.463341 Z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-2-3"
+ style="fill:#afabab;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56897205;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="M 75.463341,153.86281 H 100.3513 V 141.67486 H 75.463341 Z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-1-7-5"
+ style="fill:#afabab;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56897205;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="M 23.647349,179.26284 H 48.53529 V 167.07487 H 23.647349 Z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-1-9-8-0"
+ style="fill:#afabab;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56897205;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="M 50.063339,179.26284 H 74.951291 V 167.07487 H 50.063339 Z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-1-7-8-5"
+ style="fill:#afabab;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56897205;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="M 75.463341,179.26284 H 100.3513 V 167.07487 H 75.463341 Z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-1-7-5-2"
+ style="fill:#afabab;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56897205;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="M 23.647349,191.96284 H 48.53529 V 179.77488 H 23.647349 Z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-1-9-8-0-7"
+ style="fill:#afabab;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56897205;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="M 50.063339,191.96284 H 74.951291 V 179.77488 H 50.063339 Z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-1-7-8-5-2"
+ style="fill:#afabab;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56897205;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="M 75.463341,191.96284 H 100.3513 V 179.77488 H 75.463341 Z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-7-8"
+ style="fill:#afabab;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56897205;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m 100.86334,127.4468 h 24.88794 v -12.18796 h -24.88794 z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-1-9-4"
+ style="fill:#afabab;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56897205;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m 100.86335,141.16281 h 24.88793 v -12.18796 h -24.88793 z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-7-5-5"
+ style="fill:#afabab;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56897205;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m 100.86334,153.86281 h 24.88794 v -12.18795 h -24.88794 z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-1-9-8-2-7"
+ style="fill:#afabab;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56897205;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m 100.86335,179.26284 h 24.88793 v -12.18797 h -24.88793 z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-1-9-8-2-7-1"
+ style="fill:#afabab;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56897205;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m 100.86335,191.96284 h 24.88793 v -12.18796 h -24.88793 z" />
+ <g
+ id="g935"
+ style="stroke-width:1.11116815">
+ <path
+ d="M 23.647349,166.56283 H 48.53529 V 154.37487 H 23.647349 Z"
+ style="fill:#afabab;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56897205;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ id="path4891-1-50-8-2-1-7"
+ inkscape:connector-curvature="0" />
+ <path
+ d="M 50.063339,166.56283 H 74.951291 V 154.37487 H 50.063339 Z"
+ style="fill:#afabab;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56897205;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ id="path4891-1-50-8-2-1-9-8"
+ inkscape:connector-curvature="0" />
+ <path
+ d="M 75.463341,166.56283 H 100.3513 V 154.37487 H 75.463341 Z"
+ style="fill:#afabab;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56897205;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ id="path4891-1-50-8-2-1-7-8"
+ inkscape:connector-curvature="0" />
+ <path
+ d="m 100.86335,166.56283 h 24.88793 v -12.18796 h -24.88793 z"
+ style="fill:#afabab;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56897205;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ id="path4891-1-50-8-2-1-9-8-2"
+ inkscape:connector-curvature="0" />
+ <path
+ d="m 126.26334,166.56283 h 24.88792 v -12.18796 h -24.88792 z"
+ style="fill:#afabab;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56897205;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ id="path4891-1-50-8-2-1-9-8-2-4"
+ inkscape:connector-curvature="0" />
+ </g>
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-7-8-2"
+ style="fill:#afabab;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56897205;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m 126.26333,127.4468 h 24.88793 v -12.18796 h -24.88793 z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-1-9-4-2"
+ style="fill:#afabab;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56897205;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m 126.26334,141.16281 h 24.88792 v -12.18796 h -24.88792 z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-7-5-5-1"
+ style="fill:#afabab;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56897205;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m 126.26333,153.86281 h 24.88793 v -12.18795 h -24.88793 z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-1-9-8-2-7-6"
+ style="fill:#afabab;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56897205;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m 126.26334,179.26284 h 24.88792 v -12.18797 h -24.88792 z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-1-9-8-2-7-1-2"
+ style="fill:#afabab;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56897205;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m 126.26334,191.96284 h 24.88792 v -12.18796 h -24.88792 z" />
+ <text
+ id="text47247-9"
+ y="200.30403"
+ x="100.55013"
+ style="font-style:normal;font-weight:normal;font-size:10.58333302px;line-height:1.25;font-family:sans-serif;letter-spacing:0px;word-spacing:0px;fill:#000000;fill-opacity:1;stroke:none;stroke-width:0.29399657"
+ xml:space="preserve"><tspan
+ style="font-style:normal;font-variant:normal;font-weight:normal;font-stretch:normal;font-size:7.05555534px;font-family:monospace;-inkscape-font-specification:monospace;stroke-width:0.29399657"
+ y="200.30403"
+ x="100.55013"
+ id="tspan47245-7"
+ sodipodi:role="line">column</tspan></text>
+ <text
+ id="text47247-1"
+ y="103.81308"
+ x="76.306671"
+ style="font-style:normal;font-weight:normal;font-size:10.58333302px;line-height:1.25;font-family:sans-serif;letter-spacing:0px;word-spacing:0px;fill:#000000;fill-opacity:1;stroke:none;stroke-width:0.29399657"
+ xml:space="preserve"><tspan
+ style="font-style:normal;font-variant:normal;font-weight:normal;font-stretch:normal;font-size:10.58333302px;font-family:monospace;-inkscape-font-specification:monospace;stroke-width:0.29399657"
+ y="103.81308"
+ x="76.306671"
+ id="tspan47245-3"
+ sodipodi:role="line">DataFrame</tspan></text>
+ <rect
+ y="113.61689"
+ x="100.55073"
+ height="79.987907"
+ width="25.513165"
+ id="rect850"
+ style="fill:none;fill-opacity:1;stroke:#000000;stroke-width:0.29399657;stroke-opacity:1" />
+ <rect
+ y="154.10715"
+ x="22.74571"
+ height="12.771029"
+ width="129.30719"
+ id="rect850-3"
+ style="fill:none;fill-opacity:1;stroke:#000000;stroke-width:0.29399657;stroke-opacity:1" />
+ <text
+ id="text47247-9-6"
+ y="162.41847"
+ x="153.07187"
+ style="font-style:normal;font-weight:normal;font-size:10.58333302px;line-height:1.25;font-family:sans-serif;letter-spacing:0px;word-spacing:0px;fill:#000000;fill-opacity:1;stroke:none;stroke-width:0.29399657"
+ xml:space="preserve"><tspan
+ style="font-style:normal;font-variant:normal;font-weight:normal;font-stretch:normal;font-size:7.05555534px;font-family:monospace;-inkscape-font-specification:monospace;stroke-width:0.29399657"
+ y="162.41847"
+ x="153.07187"
+ id="tspan47245-7-7"
+ sodipodi:role="line">row</tspan></text>
+ </g>
+ </g>
+</svg>
diff --git a/doc/source/_static/schemas/01_table_series.svg b/doc/source/_static/schemas/01_table_series.svg
new file mode 100644
index 0000000000000..d52c882f26868
--- /dev/null
+++ b/doc/source/_static/schemas/01_table_series.svg
@@ -0,0 +1,127 @@
+<?xml version="1.0" encoding="UTF-8" standalone="no"?>
+<!-- Created with Inkscape (http://www.inkscape.org/) -->
+
+<svg
+ xmlns:dc="http://purl.org/dc/elements/1.1/"
+ xmlns:cc="http://creativecommons.org/ns#"
+ xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#"
+ xmlns:svg="http://www.w3.org/2000/svg"
+ xmlns="http://www.w3.org/2000/svg"
+ xmlns:sodipodi="http://sodipodi.sourceforge.net/DTD/sodipodi-0.dtd"
+ xmlns:inkscape="http://www.inkscape.org/namespaces/inkscape"
+ width="51.815998mm"
+ height="81.350258mm"
+ viewBox="0 0 51.815998 81.350261"
+ version="1.1"
+ id="svg10280"
+ inkscape:version="0.92.4 (f8dce91, 2019-08-02)"
+ sodipodi:docname="01_table_series.svg">
+ <defs
+ id="defs10274" />
+ <sodipodi:namedview
+ id="base"
+ pagecolor="#ffffff"
+ bordercolor="#666666"
+ borderopacity="1.0"
+ inkscape:pageopacity="0.0"
+ inkscape:pageshadow="2"
+ inkscape:zoom="2.1693488"
+ inkscape:cx="97.919996"
+ inkscape:cy="153.73277"
+ inkscape:document-units="mm"
+ inkscape:current-layer="layer1"
+ showgrid="false"
+ inkscape:window-width="1551"
+ inkscape:window-height="849"
+ inkscape:window-x="49"
+ inkscape:window-y="27"
+ inkscape:window-maximized="1"
+ fit-margin-top="0"
+ fit-margin-left="0"
+ fit-margin-right="0"
+ fit-margin-bottom="0" />
+ <metadata
+ id="metadata10277">
+ <rdf:RDF>
+ <cc:Work
+ rdf:about="">
+ <dc:format>image/svg+xml</dc:format>
+ <dc:type
+ rdf:resource="http://purl.org/dc/dcmitype/StillImage" />
+ <dc:title />
+ </cc:Work>
+ </rdf:RDF>
+ </metadata>
+ <g
+ inkscape:label="Layer 1"
+ inkscape:groupmode="layer"
+ id="layer1"
+ transform="translate(-79.092005,-111.90219)">
+ <g
+ id="g836"
+ transform="matrix(0.89900193,0,0,0.89968429,10.604797,15.293015)"
+ style="stroke-width:1.11192274">
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-1-4"
+ style="fill:#afabab;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56935841;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="M 79.348032,142.1964 H 104.23598 V 130.00844 H 79.348032 Z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-1-9-6"
+ style="fill:#afabab;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56935841;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m 105.76403,142.1964 h 24.88795 v -12.18796 h -24.88795 z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-2-90"
+ style="fill:#afabab;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56935841;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="M 79.348029,154.8964 H 104.23598 V 142.70845 H 79.348029 Z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-7-5-4"
+ style="fill:#afabab;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56935841;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m 105.76403,154.8964 h 24.88795 v -12.18795 h -24.88795 z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-1-7-2"
+ style="fill:#afabab;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56935841;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="M 79.348032,167.59641 H 104.23598 V 155.40846 H 79.348032 Z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-1-9-8-9"
+ style="fill:#afabab;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56935841;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m 105.76403,167.59641 h 24.88795 v -12.18795 h -24.88795 z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-1-7-5-3"
+ style="fill:#afabab;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56935841;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="M 79.348032,180.29643 H 104.23598 V 168.10846 H 79.348032 Z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-1-9-8-0-8"
+ style="fill:#afabab;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56935841;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m 105.76403,180.29643 h 24.88795 v -12.18797 h -24.88795 z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-1-7-5-2-9"
+ style="fill:#afabab;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56935841;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="M 79.348032,192.99642 H 104.23598 V 180.80847 H 79.348032 Z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-1-9-8-0-7-2"
+ style="fill:#afabab;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56935841;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m 105.76403,192.99642 h 24.88795 v -12.18795 h -24.88795 z" />
+ <text
+ id="text47247-1-3"
+ y="119.94304"
+ x="86.063171"
+ style="font-style:normal;font-weight:normal;font-size:10.58333302px;line-height:1.25;font-family:sans-serif;letter-spacing:0px;word-spacing:0px;fill:#000000;fill-opacity:1;stroke:none;stroke-width:0.29419622"
+ xml:space="preserve"><tspan
+ style="font-style:normal;font-variant:normal;font-weight:normal;font-stretch:normal;font-size:10.58333302px;font-family:monospace;-inkscape-font-specification:monospace;stroke-width:0.29419622"
+ y="119.94304"
+ x="86.063171"
+ id="tspan47245-3-1"
+ sodipodi:role="line">Series</tspan></text>
+ </g>
+ </g>
+</svg>
diff --git a/doc/source/_static/schemas/01_table_spreadsheet.png b/doc/source/_static/schemas/01_table_spreadsheet.png
new file mode 100644
index 0000000000000..b3cf5a0245b9c
Binary files /dev/null and b/doc/source/_static/schemas/01_table_spreadsheet.png differ
diff --git a/doc/source/_static/schemas/02_io_readwrite.svg b/doc/source/_static/schemas/02_io_readwrite.svg
new file mode 100644
index 0000000000000..a99a6d731a6ad
--- /dev/null
+++ b/doc/source/_static/schemas/02_io_readwrite.svg
@@ -0,0 +1,1401 @@
+<?xml version="1.0" encoding="UTF-8" standalone="no"?>
+<!-- Created with Inkscape (http://www.inkscape.org/) -->
+
+<svg
+ xmlns:dc="http://purl.org/dc/elements/1.1/"
+ xmlns:cc="http://creativecommons.org/ns#"
+ xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#"
+ xmlns:svg="http://www.w3.org/2000/svg"
+ xmlns="http://www.w3.org/2000/svg"
+ xmlns:xlink="http://www.w3.org/1999/xlink"
+ xmlns:sodipodi="http://sodipodi.sourceforge.net/DTD/sodipodi-0.dtd"
+ xmlns:inkscape="http://www.inkscape.org/namespaces/inkscape"
+ width="295.1355mm"
+ height="79.820137mm"
+ viewBox="0 0 295.1355 79.82014"
+ version="1.1"
+ id="svg11307"
+ inkscape:version="0.92.4 (f8dce91, 2019-08-02)"
+ sodipodi:docname="02_io_readwrite.svg">
+ <defs
+ id="defs11301">
+ <marker
+ inkscape:stockid="Arrow2Lend"
+ orient="auto"
+ refY="0"
+ refX="0"
+ id="Arrow2Lend"
+ style="overflow:visible"
+ inkscape:isstock="true">
+ <path
+ inkscape:connector-curvature="0"
+ id="path7253"
+ style="fill:#000000;fill-opacity:1;fill-rule:evenodd;stroke:#000000;stroke-width:0.625;stroke-linejoin:round;stroke-opacity:1"
+ d="M 8.7185878,4.0337352 -2.2072895,0.01601326 8.7185884,-4.0017078 c -1.7454984,2.3720609 -1.7354408,5.6174519 -6e-7,8.035443 z"
+ transform="matrix(-1.1,0,0,-1.1,-1.1,0)" />
+ </marker>
+ <marker
+ inkscape:stockid="Arrow2Lend"
+ orient="auto"
+ refY="0"
+ refX="0"
+ id="Arrow2Lend-3"
+ style="overflow:visible"
+ inkscape:isstock="true">
+ <path
+ inkscape:connector-curvature="0"
+ id="path7253-2"
+ style="fill:#000000;fill-opacity:1;fill-rule:evenodd;stroke:#000000;stroke-width:0.625;stroke-linejoin:round;stroke-opacity:1"
+ d="M 8.7185878,4.0337352 -2.2072895,0.01601326 8.7185884,-4.0017078 c -1.7454984,2.3720609 -1.7354408,5.6174519 -6e-7,8.035443 z"
+ transform="matrix(-1.1,0,0,-1.1,-1.1,0)" />
+ </marker>
+ <linearGradient
+ y2="120.7894"
+ x2="63.999699"
+ y1="7.0335999"
+ x1="63.999699"
+ gradientUnits="userSpaceOnUse"
+ id="SVGID_1_">
+ <stop
+ id="stop56586"
+ style="stop-color:#4387FD"
+ offset="0" />
+ <stop
+ id="stop56588"
+ style="stop-color:#4683EA"
+ offset="1" />
+ </linearGradient>
+ <clipPath
+ id="SVGID_2_">
+ <use
+ id="use56597"
+ style="overflow:visible"
+ xlink:href="#SVGID_6_"
+ x="0"
+ y="0"
+ width="100%"
+ height="100%" />
+ </clipPath>
+ <path
+ d="M 27.7908,115.2166 1.5403,69.7493 c -2.0541,-3.5578 -2.0541,-7.9412 0,-11.499 L 27.7908,12.7831 C 29.8449,9.2253 33.641,7.0336 37.7493,7.0336 h 52.501 c 4.1082,0 7.9044,2.1917 9.9585,5.7495 l 26.2505,45.4672 c 2.0541,3.5578 2.0541,7.9412 0,11.499 l -26.2505,45.4672 c -2.0541,3.5578 -5.8502,5.7495 -9.9585,5.7495 h -52.501 c -4.1083,1e-4 -7.9044,-2.1916 -9.9585,-5.7494 z"
+ id="path56636"
+ inkscape:connector-curvature="0" />
+ <linearGradient
+ y2="120.7894"
+ x2="63.999699"
+ y1="7.0335999"
+ x1="63.999699"
+ gradientUnits="userSpaceOnUse"
+ id="SVGID_1_-2">
+ <stop
+ id="stop56586-7"
+ style="stop-color:#4387FD"
+ offset="0" />
+ <stop
+ id="stop56588-0"
+ style="stop-color:#4683EA"
+ offset="1" />
+ </linearGradient>
+ <clipPath
+ id="SVGID_2_-9">
+ <use
+ id="use56597-3"
+ style="overflow:visible"
+ xlink:href="#SVGID_6_"
+ x="0"
+ y="0"
+ width="100%"
+ height="100%" />
+ </clipPath>
+ <path
+ inkscape:connector-curvature="0"
+ id="path12064-9"
+ d="M 27.7908,115.2166 1.5403,69.7493 c -2.0541,-3.5578 -2.0541,-7.9412 0,-11.499 L 27.7908,12.7831 C 29.8449,9.2253 33.641,7.0336 37.7493,7.0336 h 52.501 c 4.1082,0 7.9044,2.1917 9.9585,5.7495 l 26.2505,45.4672 c 2.0541,3.5578 2.0541,7.9412 0,11.499 l -26.2505,45.4672 c -2.0541,3.5578 -5.8502,5.7495 -9.9585,5.7495 h -52.501 c -4.1083,1e-4 -7.9044,-2.1916 -9.9585,-5.7494 z" />
+ <marker
+ inkscape:stockid="Arrow2Lend"
+ orient="auto"
+ refY="0"
+ refX="0"
+ id="Arrow2Lend-0"
+ style="overflow:visible"
+ inkscape:isstock="true">
+ <path
+ inkscape:connector-curvature="0"
+ id="path7253-9"
+ style="fill:#000000;fill-opacity:1;fill-rule:evenodd;stroke:#000000;stroke-width:0.625;stroke-linejoin:round;stroke-opacity:1"
+ d="M 8.7185878,4.0337352 -2.2072895,0.01601326 8.7185884,-4.0017078 c -1.7454984,2.3720609 -1.7354408,5.6174519 -6e-7,8.035443 z"
+ transform="matrix(-1.1,0,0,-1.1,-1.1,0)" />
+ </marker>
+ </defs>
+ <sodipodi:namedview
+ id="base"
+ pagecolor="#ffffff"
+ bordercolor="#666666"
+ borderopacity="1.0"
+ inkscape:pageopacity="0.0"
+ inkscape:pageshadow="2"
+ inkscape:zoom="0.49497475"
+ inkscape:cx="609.1577"
+ inkscape:cy="-5.1149931"
+ inkscape:document-units="mm"
+ inkscape:current-layer="layer1"
+ showgrid="false"
+ fit-margin-top="0"
+ fit-margin-left="0"
+ fit-margin-right="0"
+ fit-margin-bottom="0"
+ inkscape:window-width="1551"
+ inkscape:window-height="849"
+ inkscape:window-x="49"
+ inkscape:window-y="27"
+ inkscape:window-maximized="1" />
+ <metadata
+ id="metadata11304">
+ <rdf:RDF>
+ <cc:Work
+ rdf:about="">
+ <dc:format>image/svg+xml</dc:format>
+ <dc:type
+ rdf:resource="http://purl.org/dc/dcmitype/StillImage" />
+ <dc:title />
+ </cc:Work>
+ </rdf:RDF>
+ </metadata>
+ <g
+ inkscape:label="Layer 1"
+ inkscape:groupmode="layer"
+ id="layer1"
+ transform="translate(45.015806,-5.4401261)">
+ <g
+ id="g1332"
+ transform="matrix(0.89992508,0,0,0.89964684,10.262878,4.5510367)"
+ style="stroke-width:1.11137545">
+ <text
+ inkscape:export-ydpi="96"
+ inkscape:export-xdpi="96"
+ id="text47247-6"
+ y="37.291649"
+ x="25.401798"
+ style="font-style:normal;font-weight:normal;font-size:10.58333302px;line-height:1.25;font-family:sans-serif;letter-spacing:0px;word-spacing:0px;fill:#000000;fill-opacity:1;stroke:none;stroke-width:0.29405141"
+ xml:space="preserve"><tspan
+ style="font-style:normal;font-variant:normal;font-weight:normal;font-stretch:normal;font-size:7.05555534px;font-family:monospace;-inkscape-font-specification:monospace;stroke-width:0.29405141"
+ y="37.291649"
+ x="25.401798"
+ id="tspan47245-1"
+ sodipodi:role="line">read_*</tspan></text>
+ <text
+ inkscape:export-ydpi="96"
+ inkscape:export-xdpi="96"
+ id="text47247-6-5"
+ y="37.229637"
+ x="158.19954"
+ style="font-style:normal;font-weight:normal;font-size:10.58333302px;line-height:1.25;font-family:sans-serif;letter-spacing:0px;word-spacing:0px;fill:#000000;fill-opacity:1;stroke:none;stroke-width:0.29405141"
+ xml:space="preserve"><tspan
+ style="font-style:normal;font-variant:normal;font-weight:normal;font-stretch:normal;font-size:7.05555534px;font-family:monospace;-inkscape-font-specification:monospace;stroke-width:0.29405141"
+ y="37.229637"
+ x="158.19954"
+ id="tspan47245-1-5"
+ sodipodi:role="line">to_*</tspan></text>
+ <g
+ transform="matrix(0.87620685,0,0,0.87620685,-48.432527,-55.405379)"
+ id="g12198"
+ style="stroke-width:1.11137545">
+ <path
+ d="m 121.26405,115.97458 h 24.88794 v -12.18796 h -24.88794 z"
+ style="fill:#afabab;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56907815;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ id="path4891-1-50-8-2-1-74-80"
+ inkscape:connector-curvature="0" />
+ <path
+ d="m 147.68004,102.25857 h 24.88795 V 90.070615 h -24.88795 z"
+ style="fill:#afabab;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56907815;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ id="path4891-1-50-8-2-7-17-3"
+ inkscape:connector-curvature="0" />
+ <path
+ d="m 147.68004,115.97458 h 24.88795 v -12.18796 h -24.88795 z"
+ style="fill:#afabab;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56907815;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ id="path4891-1-50-8-2-1-9-1-7"
+ inkscape:connector-curvature="0" />
+ <path
+ d="m 121.26404,128.67458 h 24.88795 v -12.18796 h -24.88795 z"
+ style="fill:#afabab;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56907815;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ id="path4891-1-50-8-2-2-1-0"
+ inkscape:connector-curvature="0" />
+ <path
+ d="m 147.68004,128.67458 h 24.88795 v -12.18796 h -24.88795 z"
+ style="fill:#afabab;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56907815;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ id="path4891-1-50-8-2-7-5-1-69"
+ inkscape:connector-curvature="0" />
+ <path
+ d="M 173.08004,102.25857 H 197.968 V 90.070615 h -24.88796 z"
+ style="fill:#afabab;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56907815;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ id="path4891-1-50-8-2-6-7-21"
+ inkscape:connector-curvature="0" />
+ <path
+ d="M 173.08004,115.97458 H 197.968 v -12.18796 h -24.88796 z"
+ style="fill:#afabab;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56907815;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ id="path4891-1-50-8-2-1-5-0-7"
+ inkscape:connector-curvature="0" />
+ <path
+ d="M 173.08004,128.67458 H 197.968 v -12.18796 h -24.88796 z"
+ style="fill:#afabab;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56907815;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ id="path4891-1-50-8-2-2-3-4-7"
+ inkscape:connector-curvature="0" />
+ <path
+ d="m 121.26405,141.37459 h 24.88794 v -12.18796 h -24.88794 z"
+ style="fill:#afabab;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56907815;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ id="path4891-1-50-8-2-1-7-0-9"
+ inkscape:connector-curvature="0" />
+ <path
+ d="m 147.68004,141.37459 h 24.88795 v -12.18796 h -24.88795 z"
+ style="fill:#afabab;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56907815;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ id="path4891-1-50-8-2-1-9-8-8-7"
+ inkscape:connector-curvature="0" />
+ <path
+ d="M 173.08004,141.37459 H 197.968 v -12.18796 h -24.88796 z"
+ style="fill:#afabab;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56907815;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ id="path4891-1-50-8-2-1-7-8-51-6"
+ inkscape:connector-curvature="0" />
+ <path
+ d="m 198.48005,141.37459 h 24.88794 v -12.18796 h -24.88794 z"
+ style="fill:#afabab;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56907815;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ id="path4891-1-50-8-2-1-9-8-2-0-5"
+ inkscape:connector-curvature="0" />
+ <path
+ d="m 198.48004,102.25857 h 24.88795 V 90.070615 h -24.88795 z"
+ style="fill:#afabab;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56907815;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ id="path4891-1-50-8-2-7-8-8-65"
+ inkscape:connector-curvature="0" />
+ <path
+ d="m 198.48005,115.97458 h 24.88794 v -12.18796 h -24.88794 z"
+ style="fill:#afabab;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56907815;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ id="path4891-1-50-8-2-1-9-4-1-68"
+ inkscape:connector-curvature="0" />
+ <path
+ d="m 198.48004,128.67458 h 24.88795 v -12.18795 h -24.88795 z"
+ style="fill:#afabab;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56907815;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ id="path4891-1-50-8-2-7-5-5-0-4"
+ inkscape:connector-curvature="0" />
+ </g>
+ <g
+ transform="matrix(0.78210044,0,0,0.78210044,252.41915,32.616607)"
+ id="g13221-6"
+ style="stroke-width:1.11137545">
+ <g
+ id="g13046-0"
+ transform="translate(0,3.4017917)"
+ style="stroke-width:1.11137545">
+ <g
+ transform="matrix(0.76397361,0,0,0.76397361,301.89818,-142.00712)"
+ id="g57096-9-6"
+ style="stroke-width:1.11137545">
+ <path
+ style="fill:#adabab;fill-opacity:0.39215686;stroke:#ffffff;stroke-width:0.52249008;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m -506.51101,138.07636 h 25.82876 l 6.84864,6.7172 v 33.52589 h -32.6774 z"
+ id="rect55679-4-0-1-2"
+ inkscape:connector-curvature="0"
+ sodipodi:nodetypes="cccccc" />
+ <path
+ style="fill:#afabab;fill-opacity:1;stroke:none;stroke-width:0.56457865;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:0.39215686"
+ d="m -473.73325,144.95855 h -6.949 v -6.88219 z"
+ id="rect55701-3-7-2-6"
+ inkscape:connector-curvature="0"
+ sodipodi:nodetypes="cccc" />
+ <text
+ xml:space="preserve"
+ style="font-style:normal;font-variant:normal;font-weight:normal;font-stretch:normal;font-size:10.58333302px;line-height:1.25;font-family:monospace;-inkscape-font-specification:monospace;letter-spacing:0px;word-spacing:0px;fill:#afabab;fill-opacity:1;stroke:none;stroke-width:0.29405141"
+ x="-499.97018"
+ y="155.93517"
+ id="text55709-5-8-7-1"><tspan
+ sodipodi:role="line"
+ id="tspan55707-4-9-0-8"
+ x="-499.97018"
+ y="155.93517"
+ style="font-style:normal;font-variant:normal;font-weight:bold;font-stretch:normal;font-family:monospace;-inkscape-font-specification:monospace;fill:#afabab;fill-opacity:1;stroke-width:0.29405141">CSV</tspan></text>
+ <path
+ style="fill:#755075;fill-opacity:1;stroke:none;stroke-width:0.41052711;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m -506.27749,138.07636 h 25.59524 l -0.004,3.20143 h -25.59176 z"
+ id="rect55679-1-7-9-9-7"
+ inkscape:connector-curvature="0"
+ sodipodi:nodetypes="ccccc" />
+ <g
+ transform="translate(-681.73064,244.47732)"
+ id="g56212-3-9"
+ style="stroke-width:1.11137545">
+ <rect
+ y="-83.565544"
+ x="179.92134"
+ width="23.273981"
+ style="display:inline;overflow:visible;visibility:visible;opacity:1;fill:#afabab;fill-opacity:1;fill-rule:evenodd;stroke:none;stroke-width:0.37059268;stroke-opacity:1;marker:none"
+ id="rect2277-8-3-4-60-2"
+ height="2.2165694" />
+ <rect
+ y="-79.919731"
+ x="179.92134"
+ width="23.273981"
+ style="display:inline;overflow:visible;visibility:visible;opacity:1;fill:#afabab;fill-opacity:1;fill-rule:evenodd;stroke:none;stroke-width:0.37059268;stroke-opacity:1;marker:none"
+ id="rect2277-8-3-4-6-6-0"
+ height="2.2165694" />
+ <rect
+ y="-76.273918"
+ x="179.92134"
+ width="23.273981"
+ style="display:inline;overflow:visible;visibility:visible;opacity:1;fill:#afabab;fill-opacity:1;fill-rule:evenodd;stroke:none;stroke-width:0.37059268;stroke-opacity:1;marker:none"
+ id="rect2277-8-3-4-4-2-2"
+ height="2.2165694" />
+ <rect
+ y="-72.628105"
+ x="179.92134"
+ width="23.273981"
+ style="display:inline;overflow:visible;visibility:visible;opacity:1;fill:#afabab;fill-opacity:1;fill-rule:evenodd;stroke:none;stroke-width:0.37059268;stroke-opacity:1;marker:none"
+ id="rect2277-8-3-4-5-6-3"
+ height="2.2165694" />
+ </g>
+ </g>
+ <g
+ transform="matrix(0.76397361,0,0,0.76397361,389.69361,-142.00712)"
+ id="g57123-7"
+ style="stroke-width:1.11137545">
+ <g
+ id="g56942-5"
+ style="stroke-width:1.11137545">
+ <path
+ sodipodi:nodetypes="cccccc"
+ inkscape:connector-curvature="0"
+ id="rect55679-9"
+ d="m -584.13959,138.07636 h 25.82876 l 6.84864,6.7172 v 33.52589 h -32.6774 z"
+ style="fill:#adabab;fill-opacity:0.39215686;stroke:#ffffff;stroke-width:0.52249008;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1" />
+ <path
+ sodipodi:nodetypes="cccc"
+ inkscape:connector-curvature="0"
+ id="rect55701-2"
+ d="m -551.36183,144.95855 h -6.949 v -6.88219 z"
+ style="fill:#afabab;fill-opacity:1;stroke:none;stroke-width:0.56457865;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:0.39215686" />
+ <text
+ id="text55709-2"
+ y="155.93515"
+ x="-577.10522"
+ style="font-style:normal;font-variant:normal;font-weight:normal;font-stretch:normal;font-size:10.58333302px;line-height:1.25;font-family:monospace;-inkscape-font-specification:monospace;letter-spacing:0px;word-spacing:0px;fill:#afabab;fill-opacity:1;stroke:none;stroke-width:0.29405141"
+ xml:space="preserve"><tspan
+ style="font-style:normal;font-variant:normal;font-weight:bold;font-stretch:normal;font-family:monospace;-inkscape-font-specification:monospace;fill:#afabab;fill-opacity:1;stroke-width:0.29405141"
+ y="155.93515"
+ x="-577.10522"
+ id="tspan55707-8"
+ sodipodi:role="line">XLS</tspan></text>
+ <g
+ id="g4140-9"
+ transform="matrix(0.15295911,0,0,0.15295911,-574.53339,160.91154)"
+ style="stroke-width:1.11137545">
+ <path
+ d="m 46.04,0 h 5.94 c 0,2.67 0,5.33 0,8 10.01,0 20.02,0.02 30.03,-0.03 1.69,0.07 3.55,-0.05 5.02,0.96 1.03,1.48 0.91,3.36 0.98,5.06 -0.05,17.36 -0.03,34.71 -0.02,52.06 -0.05,2.91 0.27,5.88 -0.34,8.75 -0.4,2.08 -2.9,2.13 -4.57,2.2 -10.36,0.03 -20.73,-0.02 -31.1,0 0,3 0,6 0,9 H 45.77 C 30.53,83.23 15.26,80.67 0,78 0,54.67 0,31.34 0,8.01 15.35,5.34 30.7,2.71 46.04,0 Z"
+ id="path10-9-7"
+ inkscape:connector-curvature="0"
+ style="fill:#207245;stroke-width:1.11137545" />
+ <path
+ d="m 51.98,11 c 11,0 22,0 33,0 0,21 0,42 0,63 -11,0 -22,0 -33,0 0,-2 0,-4 0,-6 2.67,0 5.33,0 8,0 0,-2.33 0,-4.67 0,-7 -2.67,0 -5.33,0 -8,0 0,-1.33 0,-2.67 0,-4 2.67,0 5.33,0 8,0 0,-2.33 0,-4.67 0,-7 -2.67,0 -5.33,0 -8,0 0,-1.33 0,-2.67 0,-4 2.67,0 5.33,0 8,0 0,-2.33 0,-4.67 0,-7 -2.67,0 -5.33,0 -8,0 0,-1.33 0,-2.67 0,-4 2.67,0 5.33,0 8,0 0,-2.33 0,-4.67 0,-7 -2.67,0 -5.33,0 -8,0 0,-1.33 0,-2.67 0,-4 2.67,0 5.33,0 8,0 0,-2.33 0,-4.67 0,-7 -2.67,0 -5.33,0 -8,0 0,-2 0,-4 0,-6 z"
+ id="path48-1-3"
+ inkscape:connector-curvature="0"
+ style="fill:#ffffff;stroke-width:1.11137545" />
+ <path
+ d="m 63.98,17 c 4.67,0 9.33,0 14,0 0,2.33 0,4.67 0,7 -4.67,0 -9.33,0 -14,0 0,-2.33 0,-4.67 0,-7 z"
+ id="path58-2-6"
+ inkscape:connector-curvature="0"
+ style="fill:#207245;stroke-width:1.11137545" />
+ <path
+ d="m 29.62,26.37 c 2.26,-0.16 4.53,-0.3 6.8,-0.41 -2.67,5.47 -5.35,10.94 -8.07,16.39 2.75,5.6 5.56,11.16 8.32,16.76 -2.41,-0.14 -4.81,-0.29 -7.22,-0.46 -1.7,-4.17 -3.77,-8.2 -4.99,-12.56 -1.36,4.06 -3.3,7.89 -4.86,11.87 -2.19,-0.03 -4.38,-0.12 -6.57,-0.21 2.57,-5.03 5.05,-10.1 7.7,-15.1 -2.25,-5.15 -4.72,-10.2 -7.04,-15.32 2.2,-0.13 4.4,-0.26 6.6,-0.38 1.49,3.91 3.12,7.77 4.35,11.78 1.32,-4.25 3.29,-8.25 4.98,-12.36 z"
+ id="path72-7-1"
+ inkscape:connector-curvature="0"
+ style="fill:#ffffff;stroke-width:1.11137545" />
+ <path
+ d="m 63.98,28 c 4.67,0 9.33,0 14,0 0,2.33 0,4.67 0,7 -4.67,0 -9.33,0 -14,0 0,-2.33 0,-4.67 0,-7 z"
+ id="path90-2"
+ inkscape:connector-curvature="0"
+ style="fill:#207245;stroke-width:1.11137545" />
+ <path
+ d="m 63.98,39 c 4.67,0 9.33,0 14,0 0,2.33 0,4.67 0,7 -4.67,0 -9.33,0 -14,0 0,-2.33 0,-4.67 0,-7 z"
+ id="path108-9"
+ inkscape:connector-curvature="0"
+ style="fill:#207245;stroke-width:1.11137545" />
+ <path
+ d="m 63.98,50 c 4.67,0 9.33,0 14,0 0,2.33 0,4.67 0,7 -4.67,0 -9.33,0 -14,0 0,-2.33 0,-4.67 0,-7 z"
+ id="path114-3"
+ inkscape:connector-curvature="0"
+ style="fill:#207245;stroke-width:1.11137545" />
+ <path
+ d="m 63.98,61 c 4.67,0 9.33,0 14,0 0,2.33 0,4.67 0,7 -4.67,0 -9.33,0 -14,0 0,-2.33 0,-4.67 0,-7 z"
+ id="path120-1"
+ inkscape:connector-curvature="0"
+ style="fill:#207245;stroke-width:1.11137545" />
+ </g>
+ <path
+ sodipodi:nodetypes="ccccc"
+ inkscape:connector-curvature="0"
+ id="rect55679-1-9"
+ d="m -583.90607,138.07636 h 25.59524 l -0.004,3.20143 h -25.59176 z"
+ style="fill:#207245;fill-opacity:1;stroke:none;stroke-width:0.41052711;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1" />
+ </g>
+ </g>
+ <g
+ transform="translate(32.905868,-67.171919)"
+ id="g12301-4"
+ style="stroke-width:1.11137545">
+ <path
+ style="fill:#adabab;fill-opacity:0.39215686;stroke:#ffffff;stroke-width:0.39916864;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m -60.99023,30.65149 h 19.73249 l 5.23218,5.13176 v 25.6129 h -24.96467 z"
+ id="rect55679-5-7"
+ inkscape:connector-curvature="0"
+ sodipodi:nodetypes="cccccc" />
+ <path
+ style="fill:#6995f4;fill-opacity:1;stroke-width:0.01482968"
+ d="m -48.45626,58.61909 c -0.0716,-0.0731 -0.1361,-0.133 -0.14344,-0.133 -0.008,0 -0.0134,-0.009 -0.0134,-0.02 0,-0.0109 -0.009,-0.02 -0.02,-0.02 -0.011,0 -0.02,-0.009 -0.02,-0.02 0,-0.0109 -0.009,-0.02 -0.02,-0.02 -0.0109,0 -0.02,-0.009 -0.02,-0.02 0,-0.0109 -0.006,-0.02 -0.0134,-0.02 -0.008,0 -0.0134,-0.006 -0.0134,-0.0134 0,-0.008 -0.0331,-0.0461 -0.0733,-0.0862 -0.0403,-0.04 -0.0734,-0.0791 -0.0734,-0.0867 0,-0.008 -0.007,-0.014 -0.0145,-0.014 -0.0215,0 -0.0793,-0.0484 -0.0694,-0.0583 0.005,-0.005 7.7e-4,-0.009 -0.008,-0.009 -0.0162,0 -0.086,-0.0679 -0.1372,-0.13343 -0.0143,-0.0183 -0.0616,-0.0705 -0.10521,-0.11607 -0.0435,-0.0455 -0.0792,-0.0894 -0.0792,-0.0975 0,-0.009 -0.006,-0.0112 -0.0134,-0.007 -0.008,0.005 -0.0134,-7.6e-4 -0.0134,-0.0126 0,-0.0115 -0.009,-0.0208 -0.02,-0.0208 -0.0111,0 -0.02,-0.006 -0.02,-0.0134 0,-0.008 -0.006,-0.0134 -0.0141,-0.0134 -0.0157,0 -0.0926,-0.08 -0.0926,-0.0964 0,-0.006 -0.006,-0.0104 -0.0133,-0.0104 -0.0211,0 -0.0935,-0.0818 -0.0935,-0.10572 0,-0.023 0.11047,-0.13446 0.1333,-0.13446 0.008,0 0.0135,-0.009 0.0135,-0.02 0,-0.0111 0.006,-0.02 0.0128,-0.02 0.007,0 0.0594,-0.045 0.11617,-0.10007 0.0568,-0.0551 0.10848,-0.10008 0.11472,-0.10008 0.0137,0 0.0899,-0.0817 0.0899,-0.0964 0,-0.006 0.006,-0.0104 0.014,-0.0104 0.008,0 0.0292,-0.0164 0.0478,-0.0365 0.0186,-0.02 0.0484,-0.0461 0.0662,-0.0577 0.0178,-0.0117 0.0712,-0.0583 0.11856,-0.10364 0.0474,-0.0453 0.0924,-0.0824 0.0999,-0.0824 0.008,0 0.0138,-0.007 0.0138,-0.0143 0,-0.0185 0.0339,-0.0524 0.0524,-0.0524 0.008,0 0.0143,-0.009 0.0143,-0.02 0,-0.0111 0.006,-0.02 0.0134,-0.02 0.008,0 0.0539,-0.0405 0.10352,-0.0901 0.0496,-0.0496 0.12006,-0.11409 0.15669,-0.14344 0.0367,-0.0293 0.0686,-0.0579 0.071,-0.0633 0.002,-0.005 0.0129,-0.01 0.0234,-0.01 0.0105,0 0.0189,-0.006 0.0189,-0.0142 0,-0.014 0.0338,-0.0477 0.1495,-0.14964 0.15388,-0.13549 0.17813,-0.15569 0.18742,-0.15601 0.005,-2e-4 0.01,-0.007 0.01,-0.0147 0,-0.0185 0.0339,-0.0524 0.0524,-0.0524 0.008,0 0.0143,-0.009 0.0143,-0.02 0,-0.011 0.006,-0.02 0.0142,-0.02 0.008,0 0.0356,-0.0225 0.0617,-0.05 0.0261,-0.0276 0.0527,-0.0485 0.0591,-0.0468 0.006,0.002 0.0117,-0.003 0.0117,-0.0118 0,-0.015 0.0267,-0.0414 0.0974,-0.0961 0.0205,-0.0159 0.0686,-0.0603 0.10676,-0.0986 0.0382,-0.0383 0.0769,-0.0699 0.0861,-0.0701 0.009,-1.5e-4 0.0167,-0.006 0.0167,-0.0136 0,-0.008 0.012,-0.0254 0.0267,-0.0401 0.0147,-0.0147 0.0267,-0.0237 0.0267,-0.02 0,0.003 0.012,-0.005 0.0267,-0.02 0.0147,-0.0147 0.0267,-0.0327 0.0267,-0.04 0,-0.008 0.008,-0.0134 0.0168,-0.0134 0.009,0 0.0331,-0.015 0.0528,-0.0334 0.0198,-0.0183 0.0426,-0.0334 0.0507,-0.0334 0.008,0 0.0114,-0.005 0.008,-0.0119 -0.005,-0.007 0.008,-0.0219 0.0268,-0.0342 0.0455,-0.0298 0.0857,-0.0708 0.0857,-0.0873 0,-0.008 0.007,-0.0134 0.0144,-0.0134 0.008,0 0.05,-0.0361 0.0933,-0.08 0.0433,-0.044 0.0814,-0.08 0.0846,-0.08 0.003,0 0.0232,-0.0165 0.0445,-0.0367 0.0844,-0.0799 0.12162,-0.11009 0.13552,-0.11009 0.008,0 0.0145,-0.007 0.0145,-0.0143 0,-0.0185 0.0339,-0.0524 0.0524,-0.0524 0.008,0 0.0143,-0.009 0.0143,-0.02 0,-0.0111 0.006,-0.02 0.013,-0.02 0.007,0 0.0455,-0.0315 0.0852,-0.07 0.0806,-0.0782 0.15505,-0.14345 0.16376,-0.14345 0.003,0 0.0502,-0.045 0.10452,-0.10008 0.0543,-0.0551 0.10416,-0.10007 0.11073,-0.10007 0.007,0 0.0199,-0.015 0.0298,-0.0334 0.01,-0.0183 0.0226,-0.0334 0.0284,-0.0334 0.006,0 0.0374,-0.0255 0.0701,-0.0567 0.0808,-0.0772 0.17035,-0.15678 0.17609,-0.15678 0.002,0 0.0439,-0.039 0.0919,-0.0867 0.048,-0.0477 0.0935,-0.0867 0.10133,-0.0867 0.008,0 0.0105,-0.006 0.006,-0.0134 -0.005,-0.008 -0.002,-0.0134 0.005,-0.0134 0.0157,0 0.0761,-0.0506 0.17152,-0.14344 0.0396,-0.0385 0.0777,-0.0701 0.0848,-0.0701 0.007,0 0.0128,-0.007 0.0128,-0.0143 0,-0.0163 0.0332,-0.0524 0.048,-0.0524 0.0113,0 0.0189,-0.007 0.14815,-0.13125 0.0529,-0.051 0.0994,-0.0892 0.10342,-0.0852 0.005,0.005 0.008,-0.002 0.008,-0.0149 0,-0.0122 0.009,-0.0222 0.02,-0.0222 0.0111,0 0.02,-0.006 0.02,-0.0134 0,-0.008 0.009,-0.0134 0.02,-0.0134 0.0111,0 0.02,-0.009 0.02,-0.02 0,-0.0109 0.006,-0.02 0.0134,-0.02 0.008,0 0.0134,-0.009 0.0134,-0.02 0,-0.011 0.008,-0.02 0.0169,-0.02 0.009,0 0.028,-0.015 0.0419,-0.0334 0.0137,-0.0183 0.0306,-0.0334 0.0375,-0.0334 0.017,0 0.0506,-0.0348 0.0506,-0.0524 0,-0.008 0.006,-0.0143 0.0134,-0.0143 0.008,0 0.0243,-0.0105 0.0377,-0.0234 0.0423,-0.0404 0.0956,-0.0834 0.10351,-0.0834 0.0113,0 0.11227,-0.11049 0.11227,-0.12284 0,-0.006 0.009,-0.0106 0.02,-0.0106 0.0111,0 0.02,-0.009 0.02,-0.02 0,-0.0111 0.009,-0.02 0.02,-0.02 0.0109,0 0.02,-0.006 0.02,-0.0125 0,-0.007 0.0106,-0.0158 0.0236,-0.0199 0.013,-0.005 0.0784,-0.0612 0.14534,-0.12689 0.0669,-0.0657 0.12534,-0.11573 0.1298,-0.11126 0.005,0.005 0.008,-0.002 0.008,-0.0141 0,-0.0122 0.009,-0.0222 0.02,-0.0222 0.0109,0 0.02,-0.009 0.02,-0.02 0,-0.0111 0.009,-0.02 0.0208,-0.02 0.0115,0 0.0171,-0.006 0.0126,-0.0134 -0.005,-0.008 7.6e-4,-0.0134 0.0126,-0.0134 0.0115,0 0.0208,-0.009 0.0208,-0.02 0,-0.011 0.005,-0.02 0.0121,-0.02 0.0116,0 0.054,-0.0324 0.10929,-0.0834 0.0139,-0.0128 0.0312,-0.0234 0.0386,-0.0234 0.008,0 0.0134,-0.009 0.0134,-0.02 0,-0.0111 0.006,-0.02 0.0134,-0.02 0.017,0 0.16013,-0.14365 0.16013,-0.16071 0,-0.007 0.007,-0.0127 0.0152,-0.0127 0.009,0 0.0403,-0.0255 0.0708,-0.0567 0.0306,-0.0312 0.0727,-0.0688 0.0937,-0.0834 0.021,-0.0147 0.0703,-0.0582 0.10963,-0.0967 0.0393,-0.0385 0.0739,-0.0701 0.0768,-0.0701 0.0109,0 0.0875,-0.0826 0.0875,-0.0944 0,-0.007 0.007,-0.0123 0.0149,-0.0123 0.009,0 0.039,-0.0241 0.0683,-0.0533 0.0293,-0.0293 0.0583,-0.0533 0.0644,-0.0533 0.006,0 0.0744,-0.0626 0.15188,-0.13903 0.0775,-0.0765 0.14089,-0.13535 0.14089,-0.13084 0,0.005 0.015,-0.0121 0.0334,-0.037 0.0183,-0.0248 0.0334,-0.0411 0.0334,-0.0361 0,0.009 0.0347,-0.0167 0.0739,-0.054 0.01,-0.009 0.024,-0.0167 0.0319,-0.0167 0.008,0 0.0143,-0.009 0.0143,-0.02 0,-0.0111 0.007,-0.02 0.0143,-0.02 0.0185,0 0.0524,-0.0339 0.0524,-0.0524 0,-0.008 0.009,-0.0143 0.02,-0.0143 0.0111,0 0.02,-0.009 0.02,-0.02 0,-0.0111 0.005,-0.0185 0.0105,-0.0167 0.006,0.002 0.0355,-0.0207 0.0662,-0.05 0.0823,-0.0786 0.10166,-0.0938 0.11416,-0.0898 0.006,0.002 0.008,-0.002 0.003,-0.009 -0.009,-0.0144 0.049,-0.0552 0.0785,-0.0552 0.0112,0 0.0205,0.006 0.0205,0.0134 0,0.008 0.009,0.0134 0.0205,0.0134 0.0112,0 0.0239,0.009 0.028,0.02 0.005,0.0111 0.0221,0.02 0.0396,0.02 0.0176,0 0.0319,0.006 0.0319,0.0125 0,0.007 0.0135,0.0167 0.03,0.0219 0.0165,0.005 0.0331,0.013 0.0368,0.0176 0.0107,0.0132 0.0581,0.0417 0.0834,0.0502 0.0128,0.005 0.0234,0.0131 0.0234,0.0196 0,0.007 0.0113,0.0118 0.025,0.0118 0.0138,0 0.0325,0.009 0.0417,0.02 0.009,0.0111 0.0272,0.02 0.0403,0.02 0.013,0 0.0271,0.009 0.0313,0.02 0.005,0.0111 0.0189,0.02 0.0327,0.02 0.0286,0 0.10484,0.0355 0.1164,0.0542 0.005,0.007 0.0193,0.0125 0.0337,0.0125 0.0142,0 0.0258,0.006 0.0258,0.0131 0,0.007 0.0151,0.0169 0.0334,0.0215 0.0183,0.005 0.0334,0.0137 0.0334,0.0203 0,0.007 0.0113,0.0119 0.025,0.0119 0.0137,0 0.0325,0.009 0.0417,0.02 0.009,0.0111 0.0279,0.02 0.0417,0.02 0.0138,0 0.025,0.006 0.025,0.0134 0,0.008 0.009,0.0134 0.0191,0.0134 0.0105,0 0.027,0.008 0.0367,0.0167 0.01,0.009 0.0416,0.0287 0.071,0.0434 0.0293,0.0147 0.0554,0.0312 0.0577,0.0367 0.002,0.005 0.0189,0.01 0.0367,0.01 0.0198,0 0.0323,0.008 0.0323,0.02 0,0.0109 0.007,0.02 0.0155,0.02 0.009,0 -0.01,0.024 -0.0406,0.0533 -0.0308,0.0293 -0.0618,0.0533 -0.0689,0.0533 -0.007,0 -0.0128,0.009 -0.0128,0.0205 0,0.0112 -0.009,0.0239 -0.02,0.0281 -0.0111,0.005 -0.02,0.016 -0.02,0.0263 0,0.0102 -0.007,0.0186 -0.0149,0.0186 -0.009,0 -0.0368,0.0251 -0.0633,0.056 -0.0597,0.0689 -0.17284,0.1842 -0.18074,0.1842 -0.006,0 -0.0879,0.0797 -0.0879,0.086 0,0.0121 -0.25327,0.26091 -0.26551,0.26091 -0.008,0 -0.0147,0.006 -0.0147,0.0142 0,0.008 -0.0315,0.0459 -0.0701,0.0846 -0.0385,0.0387 -0.10127,0.10436 -0.13943,0.1459 -0.0382,0.0416 -0.0757,0.0755 -0.0834,0.0755 -0.008,0 -0.0141,0.007 -0.0141,0.0143 0,0.0185 -0.034,0.0524 -0.0524,0.0524 -0.008,0 -0.0143,0.008 -0.0143,0.0162 0,0.0183 -0.1426,0.15729 -0.16133,0.15729 -0.007,0 -0.0122,0.009 -0.0122,0.02 0,0.0111 -0.009,0.02 -0.02,0.02 -0.018,0 -0.026,0.0158 -0.0215,0.0433 7.7e-4,0.005 -0.005,0.01 -0.0105,0.01 -0.007,0 -0.0623,0.0512 -0.12343,0.11381 -0.0612,0.0626 -0.19038,0.19416 -0.28704,0.29238 -0.0967,0.0982 -0.17223,0.1821 -0.16791,0.18641 0.005,0.005 7.6e-4,0.008 -0.007,0.008 -0.0184,0 -0.20301,0.1823 -0.20301,0.20044 0,0.007 -0.007,0.0131 -0.0143,0.0131 -0.0148,0 -0.0524,0.0326 -0.0524,0.0454 0,0.0128 -0.12034,0.12807 -0.13379,0.12807 -0.007,0 -0.013,0.006 -0.013,0.0134 0,0.008 -0.0241,0.0374 -0.0533,0.0667 -0.0293,0.0293 -0.0594,0.0533 -0.0667,0.0533 -0.008,0 -0.0134,0.006 -0.0134,0.0125 0,0.007 -0.0466,0.0601 -0.10342,0.11848 -0.0568,0.0584 -0.14023,0.14437 -0.18525,0.19113 -0.13555,0.1408 -0.24885,0.24535 -0.26166,0.24146 -0.007,-0.002 -0.009,0.002 -0.003,0.01 0.005,0.008 -0.034,0.0554 -0.0858,0.10662 -0.0517,0.0512 -0.0941,0.0994 -0.0941,0.10694 0,0.008 -0.008,0.0141 -0.0167,0.0143 -0.009,2.5e-4 -0.0527,0.04 -0.0967,0.0882 -0.1391,0.15243 -0.21768,0.22954 -0.22573,0.22151 -0.005,-0.005 -0.008,-7.7e-4 -0.008,0.008 0,0.009 -0.0355,0.0511 -0.0789,0.0945 -0.0434,0.0434 -0.0824,0.0754 -0.0867,0.0711 -0.005,-0.005 -0.008,7.6e-4 -0.008,0.0115 0,0.0224 -0.0474,0.0668 -0.0589,0.0552 -0.005,-0.005 -0.008,0.002 -0.008,0.0126 0,0.0112 -0.015,0.0317 -0.0334,0.0454 -0.0183,0.0137 -0.0334,0.0326 -0.0334,0.0419 0,0.009 -0.009,0.0169 -0.02,0.0169 -0.011,0 -0.02,0.009 -0.02,0.02 0,0.0111 -0.006,0.02 -0.0134,0.02 -0.0156,0 -0.16011,0.14299 -0.16011,0.15845 0,0.006 -0.015,0.0185 -0.0334,0.0283 -0.0183,0.01 -0.0334,0.0259 -0.0334,0.0356 0,0.01 -0.008,0.0177 -0.0177,0.0177 -0.01,0 -0.0257,0.015 -0.0356,0.0334 -0.01,0.0183 -0.0258,0.0334 -0.0356,0.0334 -0.01,0 -0.0177,0.007 -0.0177,0.0144 0,0.0186 -0.0817,0.10008 -0.0959,0.0957 -0.006,-0.002 -0.0109,0.003 -0.0109,0.011 0,0.0189 -0.0341,0.0524 -0.0533,0.0524 -0.009,0 -0.0113,0.006 -0.007,0.0134 0.005,0.008 -7.6e-4,0.017 -0.0121,0.0212 -0.0112,0.005 -0.024,0.0192 -0.0284,0.0332 -0.005,0.014 -0.0227,0.0291 -0.0405,0.0335 -0.0178,0.005 -0.0325,0.014 -0.0325,0.021 0,0.0173 -0.0347,0.051 -0.0524,0.051 -0.008,0 -0.0143,0.006 -0.0143,0.0142 0,0.0157 -0.0301,0.0497 -0.16559,0.18634 -0.0506,0.0512 -0.0973,0.093 -0.10342,0.093 -0.006,0 -0.0112,0.006 -0.0112,0.0142 0,0.008 -0.0211,0.0341 -0.0468,0.0583 -0.0257,0.0242 -0.0468,0.0421 -0.0468,0.0397 0,-0.002 -0.0271,0.0246 -0.06,0.0598 -0.0331,0.0353 -0.0601,0.0685 -0.0601,0.0738 0,0.013 -0.0355,0.0477 -0.049,0.0478 -0.006,5e-5 -0.024,0.0166 -0.0399,0.0367 -0.0481,0.0609 -0.13316,0.14999 -0.1431,0.14999 -0.0147,0 -0.0748,0.0639 -0.0748,0.0795 0,0.008 -0.009,0.014 -0.02,0.014 -0.0109,0 -0.02,0.009 -0.02,0.02 0,0.0111 -0.009,0.02 -0.0208,0.02 -0.0115,0 -0.0177,0.005 -0.0141,0.011 0.008,0.0122 -0.0382,0.0557 -0.0588,0.0557 -0.007,0 -0.0132,0.005 -0.0132,0.0121 0,0.017 -0.20964,0.22804 -0.22646,0.22804 -0.008,0 -0.0137,0.006 -0.0137,0.0142 0,0.008 -0.0451,0.0587 -0.10008,0.11299 -0.0551,0.0544 -0.10008,0.10498 -0.10008,0.11256 0,0.008 -0.009,0.0137 -0.02,0.0137 -0.0111,0 -0.02,0.005 -0.02,0.0105 0,0.0115 -0.0503,0.0642 -0.16561,0.17358 -0.041,0.0389 -0.0746,0.0743 -0.0746,0.0786 0,0.0131 -0.0788,0.0842 -0.0933,0.0842 -0.008,0 -0.0135,0.008 -0.0135,0.0167 -2e-5,0.009 -0.0361,0.0547 -0.0801,0.10128 -0.044,0.0465 -0.08,0.0818 -0.08,0.0783 0,-0.003 -0.051,0.0448 -0.11343,0.10739 -0.0624,0.0625 -0.11342,0.11572 -0.11342,0.11822 0,0.0121 -0.18633,0.19192 -0.19895,0.19192 -0.008,0 -0.0145,0.007 -0.0145,0.0151 0,0.009 -0.0211,0.0349 -0.0467,0.0591 -0.0257,0.0242 -0.0468,0.0504 -0.0468,0.0583 0,0.008 -0.009,0.0142 -0.02,0.0142 -0.0111,0 -0.02,0.009 -0.02,0.02 0,0.0111 -0.009,0.02 -0.02,0.02 -0.0111,0 -0.02,0.006 -0.02,0.0134 0,0.0396 -0.0608,-0.002 -0.1768,-0.12053 z m -1.54346,-1.58412 c -5.2e-4,-0.009 -0.0101,-0.0167 -0.0211,-0.0167 -0.011,0 -0.02,-0.009 -0.02,-0.02 0,-0.0111 -0.009,-0.02 -0.02,-0.02 -0.0111,0 -0.02,-0.005 -0.02,-0.011 0,-0.0142 -0.0729,-0.0958 -0.0855,-0.0958 -0.0148,0 -0.0478,-0.0362 -0.0478,-0.0524 0,-0.008 -0.006,-0.0143 -0.0139,-0.0143 -0.019,0 -0.06,-0.0412 -0.0708,-0.0713 -0.005,-0.0135 -0.0208,-0.0277 -0.0355,-0.0316 -0.0147,-0.003 -0.0267,-0.0111 -0.0267,-0.0161 0,-0.0131 -0.11633,-0.14283 -0.18547,-0.20691 -0.10595,-0.0982 -0.23492,-0.23707 -0.23152,-0.24927 0.002,-0.007 -0.002,-0.012 -0.0105,-0.012 -0.014,0 -0.093,-0.0749 -0.093,-0.0882 0,-0.0127 -0.0377,-0.0453 -0.0524,-0.0453 -0.008,0 -0.0143,-0.009 -0.0143,-0.0186 0,-0.0102 -0.0151,-0.0223 -0.0334,-0.027 -0.0183,-0.005 -0.0334,-0.0144 -0.0334,-0.0219 0,-0.008 -0.019,-0.0321 -0.0421,-0.0547 -0.0369,-0.0361 -0.0394,-0.0427 -0.02,-0.0536 0.0121,-0.007 0.0446,-0.0331 0.0722,-0.0584 0.0276,-0.0253 0.061,-0.0461 0.0743,-0.0461 0.0133,-5e-5 0.021,-0.005 0.0171,-0.0114 -0.003,-0.006 0.0149,-0.0287 0.0416,-0.05 0.0267,-0.0213 0.0561,-0.0462 0.0653,-0.0554 0.009,-0.009 0.0204,-0.0167 0.0249,-0.0167 0.0102,0 0.0419,-0.0257 0.0714,-0.0578 0.0123,-0.0134 0.0569,-0.0488 0.0991,-0.0787 0.0422,-0.0298 0.0767,-0.0594 0.0767,-0.0657 0,-0.006 0.006,-0.0114 0.0141,-0.0114 0.008,0 0.0356,-0.0211 0.0621,-0.0468 0.0264,-0.0257 0.0526,-0.0468 0.0581,-0.0468 0.005,0 0.0377,-0.0268 0.0713,-0.0595 0.0338,-0.0328 0.0613,-0.0558 0.0613,-0.051 0,0.005 0.015,-0.006 0.0334,-0.0228 0.0183,-0.0172 0.0334,-0.0277 0.0334,-0.0234 0,0.005 0.0253,-0.0156 0.0562,-0.0444 0.0308,-0.0288 0.0609,-0.0523 0.0667,-0.0523 0.006,0 0.0346,-0.0241 0.064,-0.0533 0.0293,-0.0293 0.0564,-0.0533 0.0602,-0.0533 0.006,0 0.0676,-0.0513 0.10754,-0.0901 0.009,-0.009 0.0236,-0.0167 0.0315,-0.0167 0.008,0 0.0143,-0.006 0.0143,-0.0134 0,-0.008 0.009,-0.0134 0.02,-0.0134 0.0111,0 0.02,-0.009 0.02,-0.02 0,-0.0111 0.008,-0.02 0.0168,-0.02 0.009,0 0.0329,-0.015 0.0528,-0.0334 0.0198,-0.0183 0.0422,-0.0334 0.0499,-0.0334 0.008,0 0.014,-0.009 0.014,-0.02 0,-0.0111 0.006,-0.02 0.0139,-0.02 0.008,0 0.0389,-0.0241 0.0694,-0.0533 0.0306,-0.0293 0.0603,-0.0533 0.0661,-0.0533 0.006,0 0.0241,-0.0116 0.0406,-0.0259 0.0918,-0.0789 0.11089,-0.0942 0.11796,-0.0942 0.005,-10e-6 0.0339,-0.0241 0.0656,-0.0534 0.0318,-0.0293 0.0623,-0.0533 0.0679,-0.0533 0.005,0 0.0281,-0.0179 0.0502,-0.04 0.022,-0.022 0.0449,-0.0402 0.051,-0.0403 0.006,-1.4e-4 0.0253,-0.0152 0.0426,-0.0335 0.0173,-0.0183 0.0489,-0.0435 0.0701,-0.056 0.0212,-0.0125 0.0384,-0.0305 0.0384,-0.0399 0,-0.009 0.009,-0.0171 0.02,-0.0171 0.0111,0 0.02,-0.005 0.02,-0.0109 0,-0.006 0.0243,-0.0246 0.054,-0.0412 0.0297,-0.0167 0.0612,-0.0419 0.07,-0.0559 0.009,-0.014 0.0194,-0.0254 0.0238,-0.0254 0.005,0 0.0339,-0.0241 0.0658,-0.0533 0.0318,-0.0293 0.0652,-0.0533 0.0743,-0.0533 0.009,0 0.0203,-0.01 0.0248,-0.0219 0.005,-0.0121 0.0118,-0.0185 0.016,-0.0144 0.007,0.007 0.0423,-0.0224 0.14025,-0.11385 0.0137,-0.0128 0.031,-0.0234 0.0384,-0.0234 0.008,0 0.0134,-0.006 0.0134,-0.0134 0,-0.008 0.005,-0.0134 0.0123,-0.0134 0.007,0 0.0304,-0.0165 0.0526,-0.0367 0.0941,-0.0858 0.12369,-0.11009 0.13441,-0.11009 0.006,0 0.0148,-0.009 0.019,-0.02 0.005,-0.0111 0.0169,-0.02 0.0281,-0.02 0.0112,0 0.0204,-0.006 0.0204,-0.0134 0,-0.008 0.006,-0.0134 0.0124,-0.0134 0.007,0 0.0347,-0.0211 0.0619,-0.0468 0.0272,-0.0257 0.0542,-0.0468 0.0599,-0.0468 0.006,0 0.0374,-0.027 0.0704,-0.06 0.0331,-0.0331 0.0643,-0.0601 0.0696,-0.0601 0.005,0 0.0235,-0.015 0.0404,-0.0334 0.017,-0.0183 0.0358,-0.0334 0.0417,-0.0334 0.006,0 0.027,-0.015 0.0468,-0.0334 0.0198,-0.0183 0.0422,-0.0334 0.0499,-0.0334 0.008,0 0.014,-0.009 0.014,-0.02 0,-0.0116 0.0121,-0.02 0.029,-0.02 0.0159,0 0.0251,-0.003 0.0205,-0.009 -0.008,-0.008 0.0462,-0.0583 0.0629,-0.0583 0.005,0 0.0319,-0.0241 0.0613,-0.0533 0.0293,-0.0293 0.0627,-0.0533 0.0742,-0.0533 0.0115,0 0.0171,-0.006 0.0126,-0.0134 -0.005,-0.008 7.6e-4,-0.0134 0.0126,-0.0134 0.0115,0 0.0208,-0.005 0.0208,-0.0111 0,-0.006 0.0328,-0.0346 0.0731,-0.0633 0.0403,-0.0289 0.0732,-0.0568 0.0734,-0.0624 1.5e-4,-0.005 0.007,-0.01 0.0143,-0.01 0.008,0 0.0279,-0.0151 0.0448,-0.0334 0.017,-0.0183 0.0438,-0.0334 0.0594,-0.0334 0.0157,0 0.027,-0.005 0.0251,-0.0105 -0.002,-0.006 0.0163,-0.0298 0.0405,-0.0533 0.046,-0.045 0.0963,-0.057 0.0963,-0.0229 0,0.0111 0.009,0.02 0.02,0.02 0.0111,0 0.02,0.005 0.02,0.0119 0,0.007 0.0105,0.0154 0.0234,0.0196 0.0267,0.009 0.0672,0.0343 0.0938,0.0587 0.01,0.009 0.0222,0.0167 0.0272,0.0167 0.005,1e-5 0.0265,0.015 0.0479,0.0334 0.0213,0.0183 0.0441,0.0333 0.0506,0.0333 0.007,0 0.0258,0.015 0.0428,0.0334 0.017,0.0183 0.0352,0.0334 0.0403,0.0334 0.005,0 0.0178,0.008 0.028,0.0167 0.0463,0.0415 0.0598,0.05 0.079,0.05 0.0113,0 0.0206,0.009 0.0206,0.02 0,0.0111 0.0114,0.02 0.0253,0.02 0.0139,0 0.0287,0.009 0.033,0.02 0.005,0.0111 0.0143,0.02 0.0225,0.02 0.0192,0 0.0528,0.0339 0.0528,0.0532 0,0.009 0.005,0.0118 0.0119,0.008 0.007,-0.005 0.0267,0.005 0.0449,0.0188 0.0183,0.0144 0.0369,0.0222 0.0416,0.0177 0.005,-0.005 0.009,0.002 0.009,0.0138 0,0.0122 0.007,0.0222 0.0143,0.0222 0.008,0 0.0227,0.008 0.0328,0.0167 0.0393,0.0352 0.0587,0.05 0.0656,0.05 0.007,0 0.0825,0.0551 0.16703,0.12109 0.0182,0.0141 0.0377,0.0257 0.0434,0.0257 0.006,0 -0.0201,0.03 -0.0576,0.0667 -0.0375,0.0367 -0.0736,0.0667 -0.0801,0.0667 -0.007,0 -0.012,0.006 -0.012,0.0134 0,0.008 -0.006,0.0134 -0.014,0.0134 -0.0147,0 -0.0859,0.0613 -0.18222,0.1568 -0.0315,0.0312 -0.0604,0.0567 -0.0644,0.0567 -0.005,0 -0.0362,0.03 -0.0718,0.0667 -0.0355,0.0367 -0.0714,0.0667 -0.0796,0.0667 -0.009,0 -0.015,0.009 -0.015,0.0208 0,0.0115 -0.005,0.0177 -0.0111,0.014 -0.006,-0.003 -0.0305,0.0109 -0.0542,0.0326 -0.0237,0.0216 -0.0488,0.0393 -0.0556,0.0393 -0.007,0 -0.0125,0.005 -0.0125,0.0123 0,0.0129 -0.077,0.0944 -0.0891,0.0944 -0.006,0 -0.0482,0.0377 -0.15182,0.13677 -0.0211,0.0203 -0.0419,0.0367 -0.0461,0.0367 -0.005,0 -0.021,0.0137 -0.0371,0.0305 -0.0162,0.0168 -0.0564,0.0511 -0.0894,0.0763 -0.0331,0.0251 -0.0791,0.0655 -0.10251,0.0896 -0.0234,0.0241 -0.0489,0.0438 -0.0567,0.0438 -0.008,0 -0.0142,0.009 -0.0142,0.02 0,0.0111 -0.008,0.02 -0.0177,0.02 -0.01,0 -0.0258,0.015 -0.0356,0.0334 -0.01,0.0183 -0.0236,0.0334 -0.0307,0.0334 -0.007,0 -0.0268,0.015 -0.0439,0.0334 -0.017,0.0183 -0.0376,0.0334 -0.0457,0.0334 -0.008,0 -0.0118,0.005 -0.008,0.0109 0.003,0.006 -0.0118,0.0219 -0.0343,0.0351 -0.0226,0.0134 -0.0636,0.0474 -0.0911,0.0759 -0.0276,0.0283 -0.0568,0.0516 -0.065,0.0516 -0.009,0 -0.0149,0.009 -0.0149,0.02 0,0.011 -0.005,0.02 -0.01,0.02 -0.0126,4e-5 -0.11046,0.0821 -0.18695,0.15674 -0.032,0.0312 -0.0636,0.0567 -0.0704,0.0567 -0.007,0 -0.0221,0.015 -0.034,0.0332 -0.012,0.0183 -0.0271,0.03 -0.0337,0.0259 -0.007,-0.005 -0.012,5.2e-4 -0.0122,0.0101 -1.5e-4,0.01 -0.03,0.0385 -0.0665,0.0642 -0.0364,0.0257 -0.0662,0.0512 -0.0665,0.0567 -1.5e-4,0.005 -0.009,0.01 -0.0203,0.01 -0.0111,0 -0.02,0.009 -0.02,0.02 0,0.0111 -0.007,0.02 -0.0143,0.02 -0.008,0 -0.0229,0.009 -0.0334,0.019 -0.0105,0.0105 -0.019,0.0255 -0.019,0.0334 0,0.008 -0.006,0.0143 -0.0138,0.0143 -0.008,0 -0.0305,0.0165 -0.0508,0.0367 -0.0463,0.0459 -0.14661,0.12862 -0.16316,0.13454 -0.007,0.002 -0.0125,0.0129 -0.0125,0.0234 0,0.0105 -0.009,0.0189 -0.02,0.0189 -0.0109,0 -0.02,0.006 -0.02,0.0134 0,0.008 -0.009,0.0134 -0.02,0.0134 -0.0109,0 -0.02,0.008 -0.02,0.0177 0,0.01 -0.015,0.0257 -0.0334,0.0356 -0.0183,0.01 -0.0334,0.0262 -0.0334,0.0364 0,0.0102 -0.005,0.0155 -0.0109,0.0119 -0.006,-0.003 -0.0388,0.0199 -0.0729,0.0526 -0.0341,0.0326 -0.0671,0.0594 -0.0736,0.0594 -0.006,0 -0.0196,0.015 -0.0294,0.0334 -0.01,0.0183 -0.0231,0.0334 -0.0296,0.0334 -0.007,0 -0.0249,0.0137 -0.0411,0.0305 -0.0162,0.0168 -0.0562,0.0513 -0.0891,0.0767 -0.0328,0.0254 -0.0799,0.0658 -0.10455,0.0896 -0.0247,0.0239 -0.0503,0.0433 -0.057,0.0433 -0.007,0 -0.0122,0.009 -0.0122,0.02 0,0.011 -0.006,0.02 -0.0134,0.02 -0.008,0 -0.0389,0.024 -0.0701,0.0532 -0.0312,0.0292 -0.073,0.0682 -0.0929,0.0867 -0.0199,0.0185 -0.0424,0.0335 -0.05,0.0335 -0.008,0 -0.0139,0.009 -0.0139,0.02 0,0.0111 -0.008,0.02 -0.0169,0.02 -0.009,0 -0.0281,0.0151 -0.0419,0.0334 -0.0138,0.0183 -0.0301,0.0334 -0.0363,0.0334 -0.0116,0 -0.055,0.0364 -0.14677,0.12343 -0.029,0.0276 -0.0589,0.05 -0.0665,0.05 -0.008,0 -0.01,0.006 -0.005,0.0134 0.005,0.008 -7.7e-4,0.0134 -0.0126,0.0134 -0.0115,0 -0.0208,0.009 -0.0208,0.02 0,0.0111 -0.006,0.02 -0.0129,0.02 -0.007,0 -0.0439,0.03 -0.0818,0.0667 -0.0378,0.0368 -0.074,0.0667 -0.0805,0.0667 -0.006,0 -0.0449,0.0331 -0.0856,0.0734 -0.0406,0.0403 -0.0792,0.0733 -0.0856,0.0733 -0.006,0 -0.0147,0.008 -0.0184,0.0167 -0.005,0.0134 -0.007,0.0134 -0.008,0 z m -1.50221,-1.53083 c -0.022,-0.0251 -0.0475,-0.0461 -0.0567,-0.0464 -0.009,-2.6e-4 -0.0167,-0.01 -0.0167,-0.0206 0,-0.0111 -0.009,-0.02 -0.02,-0.02 -0.0111,0 -0.02,-0.007 -0.02,-0.0149 0,-0.009 -0.0751,-0.0894 -0.1668,-0.18044 -0.0917,-0.0911 -0.16679,-0.17146 -0.16679,-0.17862 0,-0.007 -0.008,-0.0131 -0.0167,-0.0132 -0.009,-5e-5 -0.0377,-0.0247 -0.0633,-0.0548 -0.0428,-0.0502 -0.15564,-0.1732 -0.18819,-0.20522 -0.12475,-0.12271 -0.19877,-0.19935 -0.19877,-0.20581 0,-0.009 0.043,-0.0335 0.0834,-0.0487 0.0128,-0.005 0.0234,-0.0141 0.0234,-0.0206 0,-0.007 0.006,-0.0118 0.014,-0.0118 0.008,0 0.0302,-0.0152 0.05,-0.0338 0.0199,-0.0186 0.0661,-0.053 0.10283,-0.0765 0.0368,-0.0235 0.0688,-0.0473 0.0711,-0.0529 0.002,-0.006 0.0123,-0.0103 0.0219,-0.0103 0.01,0 0.021,-0.009 0.0252,-0.02 0.005,-0.0109 0.0154,-0.02 0.0249,-0.02 0.009,0 0.0334,-0.015 0.0532,-0.0334 0.0198,-0.0183 0.0423,-0.0334 0.0499,-0.0334 0.008,0 0.014,-0.009 0.014,-0.0208 0,-0.0115 0.005,-0.0176 0.0117,-0.0135 0.007,0.005 0.032,-0.0105 0.0567,-0.0322 0.0248,-0.0216 0.0645,-0.05 0.0883,-0.0629 0.0239,-0.0129 0.0434,-0.0281 0.0434,-0.0338 0,-0.006 0.009,-0.0102 0.0189,-0.0102 0.0105,0 0.0209,-0.005 0.0234,-0.0101 0.006,-0.0135 0.11264,-0.0967 0.12407,-0.0967 0.005,0 0.0174,-0.008 0.0277,-0.0167 0.0442,-0.0396 0.0593,-0.05 0.0724,-0.05 0.008,0 0.014,-0.006 0.014,-0.0134 0,-0.008 0.009,-0.0134 0.02,-0.0134 0.0111,0 0.02,-0.006 0.02,-0.0137 0,-0.008 0.015,-0.0193 0.0334,-0.0264 0.0183,-0.007 0.0334,-0.0188 0.0334,-0.0264 0,-0.008 0.009,-0.0137 0.02,-0.0137 0.0111,0 0.02,-0.006 0.02,-0.0134 0,-0.008 0.009,-0.0134 0.0204,-0.0134 0.0112,0 0.0239,-0.009 0.0281,-0.02 0.005,-0.0111 0.013,-0.02 0.0194,-0.02 0.0112,0 0.0473,-0.0267 0.086,-0.0633 0.01,-0.009 0.024,-0.0167 0.0319,-0.0167 0.008,0 0.0143,-0.006 0.0143,-0.0134 0,-0.008 0.009,-0.0134 0.02,-0.0134 0.0109,0 0.02,-0.006 0.02,-0.0131 0,-0.007 0.015,-0.0169 0.0334,-0.0215 0.0183,-0.005 0.0334,-0.0137 0.0334,-0.0203 0,-0.007 0.006,-0.0119 0.0139,-0.0119 0.0131,0 0.0282,-0.0105 0.0724,-0.05 0.0102,-0.009 0.025,-0.0167 0.0328,-0.0167 0.008,0 0.0143,-0.009 0.0143,-0.02 0,-0.011 0.009,-0.02 0.02,-0.02 0.0111,0 0.02,-0.006 0.02,-0.0125 0,-0.007 0.0131,-0.0166 0.029,-0.0216 0.0161,-0.005 0.0445,-0.0235 0.0633,-0.041 0.0189,-0.0175 0.0418,-0.0317 0.051,-0.0317 0.009,0 0.0169,-0.005 0.0169,-0.01 0,-0.005 0.0315,-0.031 0.07,-0.0567 0.0384,-0.0257 0.0849,-0.0602 0.10325,-0.0767 0.0387,-0.0348 0.0646,-0.0383 0.0755,-0.01 0.005,0.0111 0.0134,0.02 0.0205,0.02 0.0173,0 0.051,0.0346 0.051,0.0524 0,0.008 0.007,0.0143 0.0144,0.0143 0.008,0 0.0324,0.018 0.0544,0.0401 0.022,0.022 0.0453,0.04 0.0517,0.04 0.007,0 0.0574,0.045 0.11343,0.10008 0.0559,0.0551 0.10637,0.10008 0.11206,0.10008 0.006,0 0.0265,0.015 0.0463,0.0334 0.0198,0.0183 0.0417,0.0334 0.0487,0.0334 0.007,0 0.0127,0.009 0.0127,0.02 0,0.0111 0.006,0.02 0.0139,0.02 0.0149,0 0.0316,0.0125 0.0941,0.0701 0.0219,0.0202 0.0433,0.0367 0.0477,0.0367 0.005,0 0.0278,0.021 0.052,0.0468 0.0242,0.0257 0.0504,0.0468 0.0583,0.0468 0.008,0 0.0142,0.009 0.0142,0.02 0,0.011 0.006,0.02 0.014,0.02 0.008,0 0.0279,0.0135 0.0449,0.03 0.017,0.0165 0.0422,0.0367 0.056,0.0448 0.0215,0.0127 0.0225,0.0178 0.007,0.0367 -0.01,0.0121 -0.0264,0.0219 -0.0367,0.0219 -0.0101,0 -0.0184,0.009 -0.0184,0.02 0,0.0111 -0.005,0.02 -0.0119,0.02 -0.007,0 -0.0261,0.0149 -0.0434,0.0332 -0.0173,0.0183 -0.0377,0.0332 -0.0453,0.0334 -0.008,1.5e-4 -0.0362,0.0212 -0.0635,0.0469 -0.0272,0.0257 -0.054,0.0468 -0.0595,0.0468 -0.005,5e-5 -0.0292,0.0181 -0.0526,0.04 -0.0235,0.022 -0.049,0.04 -0.0567,0.04 -0.008,0 -0.0141,0.009 -0.0141,0.02 0,0.0111 -0.009,0.02 -0.02,0.02 -0.0111,0 -0.02,0.006 -0.02,0.0134 0,0.008 -0.007,0.0134 -0.0143,0.0134 -0.008,0 -0.0227,0.008 -0.0329,0.0167 -0.04,0.0359 -0.0587,0.05 -0.0662,0.05 -0.009,0 -0.0213,0.01 -0.0764,0.0575 -0.0199,0.0174 -0.052,0.0431 -0.0711,0.0571 -0.0348,0.0255 -0.0786,0.0598 -0.1088,0.0853 -0.009,0.008 -0.0223,0.0136 -0.03,0.0136 -0.008,0 -0.014,0.009 -0.014,0.02 0,0.0111 -0.009,0.02 -0.0189,0.02 -0.0105,0 -0.0208,0.005 -0.0234,0.01 -0.008,0.0165 -0.11042,0.0902 -0.12121,0.0867 -0.005,-0.002 -0.01,0.006 -0.01,0.0167 0,0.0111 -0.008,0.02 -0.0169,0.02 -0.009,0 -0.0281,0.0151 -0.0419,0.0334 -0.0138,0.0183 -0.0334,0.0334 -0.0436,0.0334 -0.0102,0 -0.022,0.009 -0.0263,0.02 -0.005,0.0111 -0.0194,0.02 -0.0338,0.02 -0.0143,0 -0.0223,0.006 -0.0178,0.0134 0.005,0.008 9e-5,0.0134 -0.01,0.0134 -0.01,0 -0.0432,0.0241 -0.0736,0.0533 -0.0306,0.0293 -0.0618,0.0533 -0.0694,0.0533 -0.008,0 -0.0138,0.005 -0.0138,0.0111 0,0.006 -0.0285,0.0315 -0.0633,0.0565 -0.0348,0.0249 -0.0754,0.0581 -0.0901,0.0738 -0.0147,0.0157 -0.0402,0.0326 -0.0567,0.0378 -0.0165,0.005 -0.03,0.015 -0.03,0.0219 0,0.007 -0.006,0.0125 -0.014,0.0125 -0.008,0 -0.0301,0.015 -0.0499,0.0334 -0.0198,0.0183 -0.0469,0.0334 -0.0603,0.0334 -0.0134,0 -0.0212,0.005 -0.0175,0.0109 0.008,0.0122 -0.0382,0.0558 -0.0587,0.0558 -0.007,0 -0.0132,0.008 -0.0132,0.0171 0,0.009 -0.0191,0.0284 -0.0425,0.0422 -0.0397,0.0234 -0.0852,0.0588 -0.12519,0.0974 -0.0226,0.0219 -0.0198,0.023 -0.0659,-0.0297 z m -1.31892,-1.34259 c -0.0415,-0.0434 -0.0754,-0.0814 -0.0754,-0.0845 0,-0.0111 -0.0824,-0.0877 -0.0944,-0.0877 -0.007,0 -0.0123,-0.009 -0.0123,-0.02 0,-0.0111 -0.007,-0.02 -0.0143,-0.02 -0.0185,0 -0.0524,-0.0339 -0.0524,-0.0524 0,-0.008 -0.007,-0.0143 -0.0143,-0.0143 -0.0185,0 -0.0524,-0.0339 -0.0524,-0.0524 0,-0.008 -0.009,-0.0143 -0.02,-0.0143 -0.0111,0 -0.02,-0.009 -0.02,-0.02 0,-0.0111 -0.006,-0.02 -0.0138,-0.02 -0.014,0 -0.093,-0.075 -0.093,-0.0881 0,-0.0128 -0.0377,-0.0453 -0.0524,-0.0453 -0.008,0 -0.0143,-0.007 -0.0143,-0.0154 0,-0.017 -0.10466,-0.11804 -0.12232,-0.11804 -0.006,0 -0.0111,-0.007 -0.0111,-0.0144 0,-0.008 -0.0219,-0.0357 -0.0487,-0.0618 l -0.0487,-0.0474 0.0321,-0.0247 c 0.0177,-0.0135 0.039,-0.0248 0.0474,-0.0249 0.009,-1.5e-4 0.0187,-0.009 0.0229,-0.0203 0.005,-0.0111 0.0169,-0.02 0.0281,-0.02 0.0112,0 0.0204,-0.006 0.0204,-0.0134 0,-0.008 0.012,-0.0134 0.0267,-0.0134 0.0148,0 0.0267,-0.009 0.0267,-0.02 0,-0.0111 0.009,-0.02 0.0184,-0.02 0.0101,0 0.0254,-0.009 0.034,-0.0187 0.009,-0.0104 0.0363,-0.0286 0.0616,-0.0406 0.0254,-0.0121 0.0461,-0.0276 0.0461,-0.0346 0,-0.007 0.0144,-0.0128 0.0319,-0.0128 0.0176,0 0.0355,-0.009 0.0399,-0.0209 0.005,-0.0115 0.0141,-0.0171 0.0214,-0.0126 0.008,0.005 0.0135,-7.6e-4 0.0135,-0.0125 0,-0.0115 0.009,-0.0208 0.02,-0.0208 0.0111,0 0.02,-0.005 0.02,-0.0108 0,-0.006 0.0241,-0.0214 0.0534,-0.0343 0.0293,-0.0129 0.0609,-0.0306 0.0701,-0.0393 0.009,-0.009 0.0391,-0.0276 0.0667,-0.0421 0.0275,-0.0144 0.05,-0.031 0.05,-0.0367 0,-0.006 0.009,-0.0102 0.02,-0.0102 0.0111,0 0.02,-0.006 0.02,-0.0124 0,-0.007 0.0135,-0.0167 0.03,-0.0219 0.0165,-0.005 0.0432,-0.0236 0.0594,-0.0409 0.0162,-0.0173 0.0389,-0.0315 0.0504,-0.0315 0.0116,0 0.0243,-0.009 0.0283,-0.0189 0.005,-0.0104 0.0346,-0.0269 0.068,-0.0368 0.0334,-0.01 0.0636,-0.0254 0.0672,-0.0345 0.003,-0.009 0.0126,-0.0167 0.0201,-0.0167 0.008,0 0.0273,-0.0147 0.0439,-0.0326 0.0166,-0.0179 0.0328,-0.0299 0.0361,-0.0266 0.003,0.003 0.0169,-0.006 0.0302,-0.0208 0.0134,-0.0147 0.0322,-0.0268 0.0422,-0.0268 0.01,0 0.0179,-0.005 0.0179,-0.0102 0,-0.0102 0.0396,-0.0343 0.0834,-0.0509 0.0128,-0.005 0.0234,-0.0141 0.0234,-0.0206 0,-0.007 0.009,-0.0118 0.0205,-0.0118 0.0112,0 0.0239,-0.009 0.0281,-0.02 0.005,-0.0111 0.0221,-0.02 0.0397,-0.02 0.0176,0 0.0319,-0.007 0.0319,-0.0152 0,-0.0205 0.0412,-0.0505 0.0701,-0.0511 0.0128,-2.6e-4 0.0234,-0.009 0.0234,-0.0205 0,-0.0111 0.0119,-0.02 0.0267,-0.02 0.0147,0 0.0267,-0.006 0.0267,-0.0134 0,-0.008 0.009,-0.0134 0.0205,-0.0134 0.0112,0 0.0239,-0.009 0.0281,-0.02 0.005,-0.0109 0.0184,-0.02 0.0315,-0.02 0.0131,0 0.0273,-0.009 0.0315,-0.02 0.005,-0.0111 0.0141,-0.02 0.0218,-0.02 0.008,0 0.0432,-0.0196 0.0788,-0.0434 0.0356,-0.0239 0.0847,-0.0554 0.10912,-0.0701 0.0244,-0.0147 0.0552,-0.0332 0.0683,-0.0412 0.0132,-0.008 0.036,-0.0254 0.0507,-0.0388 0.0147,-0.0134 0.0268,-0.0196 0.0268,-0.0137 0,0.006 0.0159,-0.005 0.0354,-0.0249 0.0196,-0.0196 0.0495,-0.039 0.0667,-0.0433 0.0172,-0.005 0.0312,-0.0132 0.0312,-0.0198 0,-0.007 0.009,-0.0119 0.02,-0.0119 0.0109,0 0.02,-0.005 0.02,-0.0121 0,-0.007 0.0165,-0.0179 0.0368,-0.0253 0.0202,-0.007 0.0499,-0.0258 0.0662,-0.0413 0.0162,-0.0155 0.0381,-0.0282 0.0486,-0.0282 0.0105,0 0.0226,-0.009 0.0268,-0.02 0.005,-0.0111 0.0169,-0.02 0.0281,-0.02 0.0112,0 0.0205,-0.006 0.0205,-0.0134 0,-0.008 0.009,-0.0134 0.02,-0.0134 0.0109,0 0.02,-0.006 0.02,-0.0131 0,-0.007 0.015,-0.0169 0.0334,-0.0215 0.0183,-0.005 0.0334,-0.0137 0.0334,-0.0203 0,-0.007 0.009,-0.0119 0.02,-0.0119 0.0111,0 0.02,-0.006 0.02,-0.0124 0,-0.007 0.0129,-0.0165 0.0288,-0.0215 0.0158,-0.005 0.042,-0.0235 0.0582,-0.0409 0.0162,-0.0175 0.0433,-0.0318 0.0602,-0.0318 0.0169,0 0.0267,-0.005 0.0219,-0.009 -0.008,-0.008 0.0192,-0.0283 0.0711,-0.0531 0.0111,-0.005 0.0248,-0.0175 0.0306,-0.0272 0.006,-0.01 0.0218,-0.0177 0.0353,-0.0177 0.0135,0 0.0281,-0.009 0.0322,-0.02 0.005,-0.011 0.0169,-0.02 0.0281,-0.02 0.0112,0 0.0204,-0.005 0.0204,-0.0118 0,-0.007 0.0105,-0.0156 0.0234,-0.0203 0.0327,-0.0118 0.0797,-0.0403 0.11527,-0.0697 0.0432,-0.0357 0.078,-0.058 0.10491,-0.067 0.0128,-0.005 0.0234,-0.0124 0.0234,-0.018 0,-0.006 0.0105,-0.0138 0.0234,-0.0181 0.0313,-0.0105 0.0651,-0.0326 0.12631,-0.0827 0.009,-0.008 0.0261,-0.0183 0.0371,-0.0234 0.0111,-0.005 0.038,-0.021 0.0601,-0.035 0.022,-0.0141 0.0539,-0.026 0.0708,-0.0265 0.0171,-5.1e-4 0.0271,-0.007 0.0225,-0.0144 -0.005,-0.008 0.002,-0.0176 0.0159,-0.0226 0.0133,-0.005 0.0315,-0.0155 0.0404,-0.0233 0.0468,-0.0406 0.0578,-0.0474 0.0766,-0.0474 0.0113,0 0.0206,-0.005 0.0206,-0.0106 0,-0.006 0.0239,-0.0254 0.053,-0.0434 0.0292,-0.018 0.0532,-0.0371 0.0533,-0.0427 2.1e-4,-0.005 0.0118,-0.01 0.0256,-0.01 0.0138,0 0.0283,-0.008 0.0321,-0.0179 0.003,-0.01 0.0284,-0.0282 0.0548,-0.0406 0.0264,-0.0125 0.048,-0.0285 0.048,-0.0354 0,-0.007 0.009,-0.0127 0.02,-0.0127 0.0111,0 0.02,-0.005 0.02,-0.0102 0,-0.0102 0.0396,-0.0343 0.0834,-0.0509 0.0128,-0.005 0.0234,-0.0141 0.0234,-0.0206 0,-0.007 0.008,-0.0118 0.018,-0.0118 0.01,0 0.0354,-0.0151 0.0567,-0.0335 0.0213,-0.0184 0.0503,-0.0371 0.0645,-0.0417 0.0141,-0.005 0.0411,-0.0225 0.0599,-0.0399 0.0189,-0.0175 0.0418,-0.0317 0.051,-0.0317 0.009,0 0.0168,-0.005 0.0168,-0.0109 0,-0.006 0.027,-0.0245 0.06,-0.041 0.0331,-0.0165 0.06,-0.0342 0.06,-0.0392 0,-0.009 0.0109,-0.0163 0.10117,-0.0623 0.0287,-0.0147 0.0544,-0.0313 0.0568,-0.037 0.002,-0.006 0.028,-0.0223 0.0567,-0.037 0.0286,-0.0147 0.0521,-0.0325 0.0521,-0.0396 0,-0.007 0.0144,-0.0131 0.0319,-0.0131 0.0176,0 0.0354,-0.009 0.0397,-0.02 0.005,-0.0111 0.0169,-0.02 0.0281,-0.02 0.0112,0 0.0205,-0.006 0.0205,-0.0134 0,-0.008 0.01,-0.0134 0.0219,-0.0134 0.012,0 0.0357,-0.015 0.0527,-0.0334 0.017,-0.0183 0.0404,-0.0334 0.052,-0.0334 0.0115,0 0.0244,-0.009 0.0287,-0.02 0.005,-0.0111 0.016,-0.02 0.0263,-0.02 0.0102,0 0.0186,-0.006 0.0186,-0.0124 0,-0.007 0.0135,-0.0167 0.03,-0.0219 0.0165,-0.005 0.0331,-0.0134 0.0367,-0.0182 0.0108,-0.0144 0.17561,-0.12104 0.1869,-0.12104 0.006,0 0.0139,-0.009 0.018,-0.02 0.005,-0.0111 0.0169,-0.02 0.0281,-0.02 0.0112,0 0.0204,-0.006 0.0204,-0.0134 0,-0.008 0.009,-0.0134 0.021,-0.0134 0.0115,0 0.0299,-0.009 0.041,-0.02 0.011,-0.0111 0.0306,-0.02 0.0435,-0.02 0.0129,0 0.0307,-0.0135 0.0396,-0.03 0.009,-0.0165 0.0399,-0.0415 0.0689,-0.0555 0.029,-0.0141 0.0528,-0.0306 0.0528,-0.0368 0,-0.0247 0.0756,-0.009 0.10964,0.0222 0.0198,0.0183 0.0455,0.0334 0.057,0.0334 0.0115,0 0.0245,0.009 0.0286,0.02 0.005,0.011 0.016,0.02 0.0263,0.02 0.0102,0 0.0186,0.006 0.0186,0.0134 0,0.008 0.0144,0.0134 0.0319,0.0134 0.0176,0 0.0354,0.009 0.0397,0.02 0.005,0.0109 0.0169,0.02 0.028,0.02 0.0112,0 0.0204,0.006 0.0204,0.0131 0,0.007 0.015,0.0169 0.0333,0.0214 0.0183,0.005 0.0299,0.0137 0.026,0.0203 -0.005,0.007 -1.6e-4,0.0119 0.009,0.0119 0.009,0 0.054,0.0241 0.10054,0.0533 0.0465,0.0293 0.0902,0.0533 0.0971,0.0533 0.007,0 0.0145,0.005 0.017,0.01 0.007,0.0145 0.12964,0.0967 0.14494,0.0967 0.007,0 0.0129,0.006 0.0129,0.0134 0,0.008 0.0122,0.0134 0.0271,0.0134 0.0149,0 0.0306,0.009 0.0348,0.02 0.005,0.011 0.016,0.02 0.0263,0.02 0.0102,0 0.0186,0.006 0.0186,0.0134 0,0.008 -0.009,0.0134 -0.02,0.0134 -0.0111,0 -0.02,0.006 -0.02,0.0124 0,0.007 -0.0131,0.0166 -0.029,0.0217 -0.016,0.005 -0.0445,0.0234 -0.0633,0.041 -0.0189,0.0175 -0.039,0.0317 -0.0449,0.0317 -0.006,0 -0.0248,0.0151 -0.0417,0.0334 -0.017,0.0183 -0.0377,0.0334 -0.0461,0.0334 -0.009,0 -0.0151,0.006 -0.0151,0.0131 0,0.007 -0.015,0.0169 -0.0334,0.0215 -0.0183,0.005 -0.0334,0.0137 -0.0334,0.0203 0,0.007 -0.009,0.0119 -0.02,0.0119 -0.0111,0 -0.02,0.009 -0.02,0.0184 0,0.0102 -0.0105,0.022 -0.0234,0.0263 -0.025,0.009 -0.0724,0.0368 -0.0834,0.05 -0.003,0.005 -0.0324,0.0241 -0.0639,0.0439 -0.0314,0.0197 -0.0692,0.0478 -0.0839,0.0625 -0.0147,0.0147 -0.0325,0.0231 -0.0396,0.0187 -0.007,-0.005 -0.0128,0.002 -0.0128,0.0128 0,0.0115 -0.009,0.0208 -0.02,0.0208 -0.0111,0 -0.02,0.006 -0.02,0.0134 0,0.008 -0.006,0.0134 -0.0134,0.0134 -0.008,0 -0.0425,0.0209 -0.078,0.0464 -0.0356,0.0256 -0.0687,0.0426 -0.0734,0.0378 -0.005,-0.005 -0.009,-0.002 -0.009,0.007 0,0.009 -0.006,0.0156 -0.014,0.0156 -0.0154,0 -0.0366,0.0155 -0.0953,0.0701 -0.0218,0.0202 -0.0448,0.0367 -0.0512,0.0367 -0.006,0 -0.0164,0.008 -0.0223,0.0167 -0.006,0.009 -0.0286,0.0257 -0.0506,0.0367 -0.0219,0.011 -0.0526,0.0335 -0.0682,0.05 -0.0156,0.0165 -0.0384,0.03 -0.0506,0.03 -0.0122,0 -0.0257,0.009 -0.0299,0.02 -0.005,0.011 -0.016,0.02 -0.0263,0.02 -0.0102,0 -0.0186,0.006 -0.0186,0.0131 0,0.007 -0.015,0.0169 -0.0334,0.0215 -0.0183,0.005 -0.0334,0.0137 -0.0334,0.0203 0,0.007 -0.009,0.0119 -0.0208,0.0119 -0.0115,0 -0.0173,0.006 -0.0132,0.0124 0.005,0.007 -0.006,0.0167 -0.0225,0.0219 -0.0166,0.005 -0.0434,0.0236 -0.0596,0.041 -0.0162,0.0174 -0.038,0.0315 -0.0487,0.0315 -0.0105,0 -0.0227,0.009 -0.0269,0.02 -0.005,0.0109 -0.0169,0.02 -0.0281,0.02 -0.0112,0 -0.0205,0.005 -0.0205,0.0103 0,0.006 -0.0225,0.0222 -0.05,0.0367 -0.0275,0.0144 -0.065,0.0399 -0.0833,0.0564 -0.0183,0.0165 -0.0381,0.03 -0.044,0.03 -0.006,0 -0.0247,0.015 -0.0417,0.0334 -0.017,0.0183 -0.037,0.0334 -0.0446,0.0334 -0.008,0 -0.0172,0.009 -0.0214,0.02 -0.005,0.0111 -0.0199,0.02 -0.0348,0.02 -0.0149,0 -0.0271,0.006 -0.0271,0.0134 0,0.008 -0.009,0.0134 -0.0186,0.0134 -0.0102,0 -0.022,0.009 -0.0263,0.02 -0.005,0.0111 -0.0158,0.02 -0.0257,0.02 -0.01,0 -0.0382,0.018 -0.0629,0.0401 -0.0247,0.022 -0.0483,0.04 -0.0526,0.04 -0.005,0 -0.0317,0.0209 -0.061,0.0464 -0.0293,0.0255 -0.061,0.0466 -0.0705,0.0467 -0.009,1.5e-4 -0.0306,0.0142 -0.0467,0.0312 -0.0162,0.017 -0.0384,0.0352 -0.0494,0.0402 -0.0111,0.005 -0.0381,0.0212 -0.0601,0.0359 -0.022,0.0147 -0.0505,0.0303 -0.0633,0.0348 -0.0128,0.005 -0.0234,0.0134 -0.0234,0.0199 0,0.007 -0.007,0.0118 -0.0143,0.0118 -0.008,0 -0.0227,0.008 -0.0328,0.0167 -0.0442,0.0397 -0.0593,0.05 -0.0724,0.05 -0.008,0 -0.0138,0.009 -0.0138,0.02 0,0.0111 -0.009,0.02 -0.02,0.02 -0.0111,0 -0.02,0.006 -0.02,0.0132 0,0.007 -0.015,0.0169 -0.0334,0.0215 -0.0183,0.005 -0.0334,0.0128 -0.0334,0.0182 0,0.005 -0.0211,0.0212 -0.0468,0.0349 -0.0257,0.0139 -0.0468,0.0298 -0.0468,0.0354 0,0.006 -0.009,0.0103 -0.0186,0.0103 -0.0102,0 -0.022,0.009 -0.0263,0.02 -0.005,0.0111 -0.0166,0.02 -0.0275,0.02 -0.0109,0 -0.0342,0.0143 -0.0516,0.0318 -0.0175,0.0175 -0.0448,0.0359 -0.0606,0.041 -0.0159,0.005 -0.0289,0.0147 -0.0289,0.0215 0,0.007 -0.009,0.0125 -0.02,0.0125 -0.0111,0 -0.02,0.006 -0.02,0.0134 0,0.008 -0.006,0.0134 -0.014,0.0134 -0.008,0 -0.0302,0.0152 -0.05,0.0338 -0.0199,0.0186 -0.0812,0.0618 -0.13619,0.0961 -0.0551,0.0342 -0.10209,0.067 -0.10452,0.073 -0.002,0.006 -0.0129,0.0107 -0.0234,0.0107 -0.0105,0 -0.0189,0.005 -0.019,0.01 -6e-5,0.005 -0.0226,0.0249 -0.05,0.0432 -0.0275,0.0183 -0.0594,0.0433 -0.0707,0.0558 -0.0115,0.0125 -0.037,0.0267 -0.0567,0.0317 -0.0198,0.005 -0.0359,0.0144 -0.0359,0.0209 0,0.007 -0.009,0.0119 -0.02,0.0119 -0.0111,0 -0.02,0.005 -0.02,0.0103 0,0.006 -0.0211,0.0215 -0.0468,0.0354 -0.0257,0.0139 -0.0468,0.0332 -0.0468,0.0431 0,0.01 -0.0121,0.0179 -0.0271,0.0179 -0.0149,0 -0.0306,0.009 -0.0348,0.02 -0.005,0.0111 -0.016,0.02 -0.0263,0.02 -0.0102,0 -0.0186,0.005 -0.0186,0.0112 0,0.006 -0.0211,0.0225 -0.0468,0.0364 -0.0257,0.0138 -0.0468,0.0298 -0.0468,0.0354 0,0.006 -0.009,0.0102 -0.02,0.0102 -0.0111,0 -0.02,0.006 -0.02,0.0137 0,0.008 -0.015,0.0193 -0.0334,0.0264 -0.0183,0.007 -0.0334,0.0188 -0.0334,0.0264 0,0.008 -0.009,0.0137 -0.02,0.0137 -0.0111,0 -0.02,0.006 -0.02,0.0134 0,0.008 -0.009,0.0134 -0.02,0.0134 -0.0111,0 -0.02,0.006 -0.02,0.0131 0,0.007 -0.0151,0.0169 -0.0334,0.0215 -0.0183,0.005 -0.0334,0.0137 -0.0334,0.0203 0,0.007 -0.007,0.0119 -0.0151,0.0119 -0.009,0 -0.0278,0.0135 -0.0434,0.03 -0.0155,0.0165 -0.0612,0.0509 -0.10161,0.0763 -0.0403,0.0254 -0.0764,0.0494 -0.08,0.0533 -0.0125,0.0133 -0.0599,0.0412 -0.0834,0.049 -0.0128,0.005 -0.0234,0.0134 -0.0234,0.02 0,0.007 -0.0106,0.0162 -0.0234,0.0211 -0.0128,0.005 -0.0306,0.0151 -0.0396,0.0229 -0.0428,0.0372 -0.0567,0.0474 -0.0643,0.0474 -0.005,0 -0.0165,0.008 -0.0268,0.0167 -0.0447,0.0401 -0.0594,0.05 -0.0737,0.05 -0.017,0 -0.17693,0.11791 -0.18389,0.13552 -0.002,0.006 -0.0129,0.0113 -0.0234,0.0113 -0.0105,0 -0.019,0.005 -0.019,0.0118 0,0.007 -0.0105,0.0153 -0.0234,0.0196 -0.0313,0.0105 -0.0686,0.0357 -0.10657,0.072 -0.0173,0.0165 -0.0374,0.03 -0.0448,0.03 -0.008,0 -0.0267,0.0135 -0.0428,0.03 -0.0339,0.0345 -0.0725,0.0607 -0.10602,0.072 -0.0128,0.005 -0.0234,0.0132 -0.0234,0.0196 0,0.007 -0.006,0.0118 -0.014,0.0118 -0.0151,0 -0.0419,0.0199 -0.0767,0.0567 -0.0121,0.0128 -0.0297,0.0234 -0.0391,0.0234 -0.009,0 -0.017,0.006 -0.017,0.0125 0,0.007 -0.0121,0.0163 -0.0269,0.0209 -0.0148,0.005 -0.0235,0.0141 -0.0193,0.0209 0.005,0.007 -0.008,0.0124 -0.0274,0.0124 -0.0199,0 -0.0314,0.006 -0.0267,0.0134 0.005,0.008 -7.6e-4,0.0134 -0.0126,0.0134 -0.0115,0 -0.0208,0.006 -0.0208,0.0125 0,0.007 -0.0129,0.0165 -0.0287,0.0215 -0.0158,0.005 -0.0413,0.0225 -0.0567,0.0386 -0.0507,0.0534 -0.0658,0.0499 -0.14595,-0.0338 z m 3.73064,-0.57254 c -0.0306,-0.0293 -0.0618,-0.0533 -0.0694,-0.0533 -0.008,0 -0.0139,-0.006 -0.0139,-0.0134 0,-0.008 -0.005,-0.0134 -0.012,-0.0134 -0.0122,0 -0.0685,-0.0452 -0.13702,-0.11008 -0.0213,-0.0202 -0.0435,-0.0367 -0.0493,-0.0367 -0.006,0 -0.0186,-0.0151 -0.0285,-0.0334 -0.01,-0.0183 -0.0263,-0.0334 -0.0367,-0.0334 -0.0104,0 -0.0363,-0.0176 -0.0577,-0.039 -0.0215,-0.0215 -0.039,-0.0354 -0.039,-0.0312 0,0.005 -0.0225,-0.0164 -0.05,-0.0462 -0.0276,-0.0297 -0.0621,-0.0566 -0.0767,-0.0597 -0.0147,-0.003 -0.0251,-0.0128 -0.0234,-0.0215 0.002,-0.009 -0.002,-0.0159 -0.0106,-0.0159 -0.008,0 -0.0279,-0.015 -0.0448,-0.0334 -0.017,-0.0183 -0.0343,-0.0334 -0.0384,-0.0334 -0.005,0 -0.0298,-0.021 -0.057,-0.0468 -0.0272,-0.0257 -0.0538,-0.0467 -0.0591,-0.0467 -0.0147,0 -0.0801,-0.0639 -0.0801,-0.0783 0,-0.007 -0.008,-0.0159 -0.0167,-0.0196 -0.0102,-0.005 -0.008,-0.007 0.006,-0.008 0.0125,-5.1e-4 0.0422,-0.0191 0.0664,-0.0411 0.0242,-0.022 0.0516,-0.0401 0.0609,-0.0401 0.009,0 0.017,-0.006 0.017,-0.0134 0,-0.008 0.009,-0.0134 0.021,-0.0134 0.0115,0 0.0293,-0.008 0.0396,-0.0167 0.0442,-0.0396 0.0592,-0.05 0.0724,-0.05 0.008,0 0.0139,-0.009 0.0139,-0.02 0,-0.0126 0.0127,-0.02 0.0341,-0.02 0.0189,0 0.0306,-0.006 0.0263,-0.0127 -0.005,-0.007 0.005,-0.0189 0.0182,-0.0267 0.0143,-0.008 0.034,-0.0215 0.0438,-0.0307 0.01,-0.009 0.0402,-0.0318 0.0676,-0.0501 0.0275,-0.0183 0.05,-0.0378 0.05,-0.0433 5e-5,-0.005 0.006,-0.01 0.014,-0.01 0.008,0 0.027,-0.0122 0.0431,-0.0272 0.0161,-0.015 0.0428,-0.0306 0.0595,-0.0348 0.0167,-0.005 0.0303,-0.0164 0.0303,-0.027 0,-0.0106 0.005,-0.016 0.0119,-0.012 0.007,0.005 0.0154,-0.002 0.0196,-0.0126 0.005,-0.0109 0.02,-0.0199 0.0352,-0.0199 0.0151,0 0.031,-0.009 0.0352,-0.02 0.005,-0.0111 0.0164,-0.02 0.027,-0.02 0.0107,0 0.0157,-0.006 0.0112,-0.0134 -0.005,-0.008 -0.002,-0.0134 0.007,-0.0134 0.0158,0 0.0423,-0.0193 0.0775,-0.0567 0.0121,-0.0128 0.0312,-0.0235 0.0425,-0.0238 0.0208,-5.1e-4 0.0813,-0.0396 0.0611,-0.0396 -0.006,0 0.0111,-0.015 0.0381,-0.0334 0.027,-0.0183 0.0549,-0.0334 0.0619,-0.0334 0.007,0 0.0128,-0.006 0.0128,-0.0134 0,-0.008 0.006,-0.0134 0.0128,-0.0134 0.007,0 0.0313,-0.018 0.0539,-0.0401 0.0225,-0.022 0.0475,-0.04 0.0555,-0.04 0.008,0 0.0244,-0.0105 0.0362,-0.0234 0.0118,-0.0128 0.0448,-0.0352 0.0732,-0.0497 0.0283,-0.0144 0.0545,-0.034 0.0581,-0.0434 0.003,-0.009 0.0134,-0.017 0.0219,-0.017 0.009,0 0.0316,-0.015 0.0513,-0.0334 0.0198,-0.0183 0.0409,-0.0334 0.0468,-0.0334 0.006,0 0.0269,-0.015 0.0468,-0.0334 0.0198,-0.0183 0.0425,-0.0334 0.0504,-0.0334 0.008,0 0.0178,-0.009 0.022,-0.02 0.005,-0.0111 0.0154,-0.02 0.0248,-0.02 0.009,0 0.0206,-0.009 0.0248,-0.02 0.005,-0.0111 0.0169,-0.02 0.0281,-0.02 0.0112,0 0.0204,-0.006 0.0204,-0.0134 0,-0.008 0.009,-0.0134 0.02,-0.0134 0.0111,0 0.02,-0.005 0.02,-0.0102 0,-0.006 0.0241,-0.025 0.0533,-0.0432 0.0293,-0.0182 0.0533,-0.0376 0.0533,-0.0432 0,-0.006 0.007,-0.0102 0.0143,-0.0102 0.008,0 0.0227,-0.008 0.0328,-0.0167 0.0408,-0.0367 0.0588,-0.05 0.0671,-0.05 0.0112,0 0.11784,-0.0834 0.12368,-0.0966 0.002,-0.005 0.0129,-0.0101 0.0234,-0.0101 0.0105,0 0.0189,-0.005 0.0189,-0.0112 0,-0.006 0.024,-0.0227 0.0532,-0.0368 0.0293,-0.014 0.0532,-0.0316 0.0533,-0.0391 1e-4,-0.008 0.0209,-0.0248 0.0462,-0.0384 0.0254,-0.0136 0.0597,-0.0375 0.0764,-0.0531 0.0167,-0.0155 0.0335,-0.0286 0.0374,-0.0291 0.0167,-0.002 0.0936,-0.0534 0.0936,-0.0625 4e-5,-0.005 0.0121,-0.01 0.0268,-0.01 0.0148,0 0.0267,-0.009 0.0267,-0.02 0,-0.0109 0.009,-0.02 0.02,-0.02 0.0111,0 0.02,-0.006 0.02,-0.0134 0,-0.008 0.009,-0.0134 0.0186,-0.0134 0.0102,0 0.022,-0.009 0.0263,-0.02 0.005,-0.011 0.0164,-0.02 0.027,-0.02 0.0106,0 0.0213,-0.005 0.0238,-0.01 0.008,-0.0167 0.11532,-0.0967 0.13043,-0.0967 0.008,0 0.0141,-0.005 0.0141,-0.0105 0,-0.006 0.0195,-0.0219 0.0433,-0.0357 0.0239,-0.0138 0.0464,-0.0289 0.05,-0.0332 0.0186,-0.0225 0.11921,-0.0941 0.13202,-0.0941 0.008,0 0.0147,-0.006 0.0147,-0.0134 0,-0.008 0.009,-0.0134 0.02,-0.0134 0.0111,0 0.02,-0.006 0.02,-0.0134 0,-0.008 0.024,-0.0238 0.0533,-0.0364 0.0293,-0.0127 0.0533,-0.0307 0.0533,-0.04 0,-0.009 0.007,-0.0169 0.0143,-0.0169 0.008,0 0.0227,-0.008 0.0328,-0.0167 0.0423,-0.0379 0.059,-0.05 0.069,-0.0501 0.006,-3e-5 0.0298,-0.018 0.0533,-0.04 0.0234,-0.022 0.049,-0.04 0.0567,-0.04 0.008,0 0.0141,-0.006 0.0141,-0.0134 0,-0.008 0.009,-0.0134 0.0189,-0.0134 0.0105,0 0.0208,-0.005 0.0234,-0.01 0.007,-0.0148 0.12679,-0.0967 0.14197,-0.0967 0.007,0 0.0165,-0.009 0.0207,-0.02 0.005,-0.0111 0.0141,-0.02 0.0221,-0.02 0.008,0 0.0293,-0.015 0.0477,-0.0334 0.0183,-0.0183 0.0393,-0.0334 0.0466,-0.0334 0.007,0 0.0308,-0.018 0.0523,-0.04 0.0215,-0.022 0.047,-0.0401 0.0567,-0.0401 0.01,0 0.0262,-0.012 0.0368,-0.0267 0.0106,-0.0148 0.0269,-0.0267 0.0363,-0.0267 0.009,0 0.017,-0.006 0.017,-0.0131 0,-0.007 0.015,-0.0169 0.0334,-0.0215 0.0183,-0.005 0.0334,-0.0137 0.0334,-0.0203 0,-0.007 0.009,-0.0119 0.02,-0.0119 0.0111,0 0.02,-0.009 0.02,-0.0185 0,-0.0102 0.0105,-0.022 0.0234,-0.0263 0.0299,-0.01 0.0665,-0.0342 0.10925,-0.072 0.0186,-0.0165 0.0416,-0.03 0.0508,-0.03 0.009,0 0.0168,-0.006 0.0168,-0.0134 0,-0.008 0.009,-0.0134 0.0205,-0.0134 0.0112,0 0.0239,-0.009 0.0281,-0.02 0.005,-0.0111 0.0134,-0.02 0.0205,-0.02 0.007,0 0.0212,-0.008 0.0315,-0.0167 0.037,-0.0332 0.0537,-0.0452 0.0984,-0.0708 0.025,-0.0143 0.0695,-0.0485 0.0989,-0.076 0.0293,-0.0276 0.0613,-0.05 0.0712,-0.05 0.01,0 0.0179,-0.005 0.0179,-0.0105 0,-0.0107 0.1639,-0.12293 0.17953,-0.12293 0.005,0 0.0225,-0.015 0.0395,-0.0334 0.0305,-0.0328 0.0879,-0.046 0.0879,-0.02 0,0.008 0.009,0.0134 0.0186,0.0134 0.0102,0 0.0221,0.009 0.0263,0.02 0.005,0.0111 0.0199,0.02 0.0348,0.02 0.0149,0 0.0271,0.005 0.0271,0.0119 0,0.007 0.0211,0.0158 0.0468,0.0206 0.0257,0.005 0.0468,0.0144 0.0468,0.0215 0,0.007 0.012,0.0128 0.0267,0.0128 0.0147,0 0.0267,0.005 0.0267,0.0108 0,0.006 0.0255,0.0217 0.0567,0.035 0.0312,0.0134 0.0642,0.0336 0.0733,0.0452 0.0108,0.0135 0.0167,0.0151 0.0167,0.005 0,-0.0101 0.0102,-0.007 0.0269,0.009 0.0275,0.0256 0.0606,0.0448 0.11986,0.0693 0.0183,0.008 0.0513,0.0257 0.0733,0.0402 0.022,0.0144 0.049,0.0299 0.06,0.0343 0.0506,0.0203 0.0882,0.0403 0.10436,0.0556 0.01,0.009 0.0262,0.0167 0.0367,0.0167 0.0105,0 0.0191,0.006 0.0191,0.0134 0,0.008 0.015,0.0134 0.0334,0.0134 0.0183,0 0.0332,0.005 0.0329,0.01 -5.2e-4,0.0144 -0.0342,0.0567 -0.045,0.0567 -0.005,0 -0.0231,0.015 -0.0401,0.0334 -0.017,0.0183 -0.0352,0.0334 -0.0403,0.0334 -0.005,0 -0.0178,0.008 -0.028,0.0167 -0.0401,0.036 -0.0587,0.05 -0.0662,0.05 -0.005,0 -0.0211,0.0139 -0.0372,0.0309 -0.0162,0.017 -0.0504,0.0436 -0.0761,0.0593 -0.0257,0.0157 -0.0555,0.0409 -0.0664,0.0559 -0.0108,0.0151 -0.0272,0.0275 -0.0365,0.0275 -0.009,0 -0.0331,0.018 -0.0526,0.04 -0.0196,0.022 -0.0437,0.04 -0.0535,0.04 -0.01,0 -0.0178,0.006 -0.0178,0.0134 0,0.008 -0.008,0.0134 -0.0173,0.0134 -0.009,0 -0.0423,0.0241 -0.0729,0.0533 -0.0306,0.0293 -0.0613,0.0533 -0.0683,0.0533 -0.007,0 -0.0147,0.005 -0.0172,0.0106 -0.002,0.006 -0.0311,0.0313 -0.0636,0.0567 -0.0326,0.0254 -0.069,0.0552 -0.0811,0.0662 -0.0406,0.0371 -0.099,0.0801 -0.10895,0.0801 -0.005,0 -0.0351,0.0241 -0.066,0.0533 -0.0308,0.0293 -0.062,0.0533 -0.0691,0.0533 -0.007,0 -0.0269,0.015 -0.0439,0.0334 -0.017,0.0183 -0.0347,0.0334 -0.0391,0.0334 -0.005,0 -0.0166,0.008 -0.0269,0.0167 -0.0442,0.0396 -0.0593,0.05 -0.0724,0.05 -0.008,0 -0.0139,0.009 -0.0139,0.02 0,0.0111 -0.006,0.02 -0.014,0.02 -0.008,0 -0.0302,0.015 -0.0499,0.0334 -0.0198,0.0183 -0.0436,0.0334 -0.0528,0.0334 -0.009,0 -0.0168,0.009 -0.0168,0.02 0,0.0111 -0.008,0.02 -0.018,0.02 -0.01,0 -0.0397,0.0211 -0.066,0.0468 -0.0264,0.0257 -0.0537,0.0468 -0.0604,0.0468 -0.007,0 -0.0355,0.0212 -0.064,0.0473 -0.0283,0.026 -0.0652,0.0506 -0.0818,0.0548 -0.0166,0.005 -0.0301,0.0159 -0.0301,0.0261 0,0.0102 -0.007,0.0186 -0.0144,0.0186 -0.008,0 -0.0382,0.024 -0.0672,0.0533 -0.0291,0.0293 -0.0594,0.0533 -0.0675,0.0533 -0.008,0 -0.0285,0.015 -0.0455,0.0334 -0.017,0.0183 -0.0361,0.0334 -0.0426,0.0334 -0.006,0 -0.0257,0.015 -0.043,0.0334 -0.0172,0.0183 -0.0368,0.0334 -0.0434,0.0334 -0.007,0 -0.0307,0.0186 -0.0535,0.0415 -0.0228,0.0228 -0.0644,0.0566 -0.0924,0.0752 -0.028,0.0185 -0.051,0.0389 -0.051,0.0452 0,0.006 -0.009,0.0115 -0.02,0.0115 -0.011,0 -0.02,0.005 -0.02,0.0105 0,0.006 -0.0165,0.0205 -0.0368,0.033 -0.0202,0.0123 -0.0577,0.0406 -0.0834,0.0627 -0.0759,0.0655 -0.0783,0.0673 -0.0928,0.0673 -0.008,0 -0.014,0.006 -0.014,0.0125 0,0.007 -0.0121,0.0163 -0.0269,0.0209 -0.0148,0.005 -0.0235,0.0141 -0.0193,0.0209 0.005,0.007 -0.002,0.0124 -0.0132,0.0124 -0.0115,0 -0.0208,0.006 -0.0208,0.0137 0,0.008 -0.015,0.0193 -0.0334,0.0264 -0.0183,0.007 -0.0334,0.0188 -0.0334,0.0264 0,0.008 -0.009,0.0137 -0.02,0.0137 -0.0111,0 -0.02,0.006 -0.02,0.0134 0,0.008 -0.006,0.0134 -0.014,0.0134 -0.008,0 -0.0301,0.0151 -0.0499,0.0334 -0.0198,0.0183 -0.0436,0.0334 -0.0528,0.0334 -0.009,0 -0.0168,0.009 -0.0168,0.02 0,0.0111 -0.009,0.02 -0.0186,0.02 -0.0102,0 -0.0221,0.009 -0.0263,0.02 -0.005,0.011 -0.0203,0.02 -0.0356,0.02 -0.0154,0 -0.0244,0.006 -0.0202,0.0124 0.005,0.007 -0.0105,0.0232 -0.0326,0.0362 -0.0221,0.0131 -0.0403,0.0285 -0.0403,0.0342 0,0.006 -0.009,0.0105 -0.02,0.0105 -0.0111,0 -0.02,0.005 -0.02,0.0111 0,0.006 -0.0285,0.0314 -0.0633,0.0562 -0.0348,0.0248 -0.0694,0.0517 -0.0767,0.0597 -0.0243,0.0267 -0.11139,0.0865 -0.12587,0.0865 -0.008,0 -0.0142,0.009 -0.0142,0.02 0,0.0109 -0.007,0.02 -0.0151,0.02 -0.009,0 -0.029,0.015 -0.0461,0.0334 -0.017,0.0183 -0.0375,0.0334 -0.0455,0.0334 -0.008,0 -0.0285,0.0151 -0.0455,0.0334 -0.017,0.0183 -0.0347,0.0334 -0.0393,0.0334 -0.009,0 -0.0607,0.0417 -0.10427,0.0834 -0.0135,0.0128 -0.0304,0.0234 -0.0377,0.0234 -0.008,0 -0.0134,0.006 -0.0134,0.0131 0,0.007 -0.015,0.0169 -0.0334,0.0215 -0.0183,0.005 -0.0334,0.0137 -0.0334,0.0203 0,0.007 -0.009,0.0119 -0.02,0.0119 -0.0111,0 -0.02,0.007 -0.02,0.0143 0,0.0185 -0.0339,0.0524 -0.0524,0.0524 -0.008,0 -0.0143,0.006 -0.0143,0.0137 0,0.008 -0.015,0.0193 -0.0334,0.0263 -0.0183,0.007 -0.0334,0.0189 -0.0334,0.0264 0,0.008 -0.007,0.0137 -0.0151,0.0137 -0.009,0 -0.0293,0.0154 -0.0468,0.0341 -0.0173,0.0187 -0.0315,0.0311 -0.0315,0.0274 0,-0.003 -0.0193,0.0111 -0.043,0.0327 -0.0236,0.0216 -0.0474,0.0393 -0.0528,0.0393 -0.005,0 -0.0343,0.024 -0.0643,0.0533 -0.0299,0.0293 -0.061,0.0533 -0.0691,0.0533 -0.008,0 -0.0285,0.015 -0.0455,0.0334 -0.017,0.0183 -0.0345,0.0334 -0.0388,0.0334 -0.005,0 -0.0241,0.0151 -0.0439,0.0334 -0.0198,0.0183 -0.0435,0.0334 -0.0528,0.0334 -0.009,0 -0.0168,0.009 -0.0168,0.02 0,0.0111 -0.009,0.02 -0.02,0.02 -0.0111,0 -0.02,0.005 -0.02,0.0102 0,0.0102 -0.0396,0.0343 -0.0834,0.0509 -0.0128,0.005 -0.0234,0.0145 -0.0234,0.0215 0,0.0172 -0.0347,0.0509 -0.0524,0.0509 -0.008,0 -0.0143,0.009 -0.0143,0.0185 0,0.0101 -0.0105,0.0225 -0.0234,0.0272 -0.0438,0.0165 -0.0834,0.0406 -0.0834,0.0509 0,0.006 -0.007,0.0102 -0.0151,0.0102 -0.009,0 -0.028,0.0138 -0.0437,0.0307 -0.0157,0.017 -0.0389,0.0348 -0.0516,0.0397 -0.0127,0.005 -0.023,0.0151 -0.023,0.0226 0,0.0281 -0.0363,0.0121 -0.0902,-0.0396 z m -4.80688,-0.51843 c 0,-0.006 -0.0595,-0.0718 -0.13233,-0.14566 -0.0728,-0.0739 -0.12882,-0.13779 -0.12454,-0.14208 0.005,-0.005 0.002,-0.008 -0.007,-0.008 -0.0182,0 -0.10368,-0.083 -0.0996,-0.0967 0.002,-0.005 -0.002,-0.009 -0.007,-0.007 -0.0111,0.003 -0.0967,-0.0745 -0.0967,-0.0882 0,-0.0151 -0.0509,-0.06 -0.0589,-0.052 -0.005,0.005 -0.008,-0.002 -0.008,-0.0144 0,-0.0122 -0.007,-0.0222 -0.0143,-0.0222 -0.0185,0 -0.0524,-0.0339 -0.0524,-0.0524 0,-0.008 -0.009,-0.0143 -0.02,-0.0143 -0.0109,0 -0.02,-0.005 -0.02,-0.0115 0,-0.006 -0.0156,-0.027 -0.0345,-0.0461 -0.0368,-0.0368 -0.0336,-0.0566 0.0125,-0.0766 0.0352,-0.0154 0.0749,-0.0404 0.0992,-0.0626 0.01,-0.009 0.0268,-0.0167 0.0372,-0.0167 0.0105,0 0.0191,-0.005 0.0191,-0.0101 0,-0.005 0.0285,-0.0237 0.0633,-0.0404 0.0754,-0.0361 0.10607,-0.0548 0.14245,-0.0868 0.0149,-0.0131 0.0407,-0.0273 0.0575,-0.0315 0.0166,-0.005 0.0303,-0.012 0.0303,-0.0174 0,-0.005 0.024,-0.0212 0.0532,-0.0353 0.0293,-0.0141 0.0532,-0.0293 0.0533,-0.0341 10e-5,-0.005 0.0151,-0.0123 0.0335,-0.017 0.0183,-0.005 0.0334,-0.0143 0.0334,-0.0215 0,-0.007 0.0144,-0.0131 0.0319,-0.0131 0.0176,0 0.0354,-0.009 0.0396,-0.02 0.005,-0.0111 0.0199,-0.02 0.0348,-0.02 0.0149,0 0.0271,-0.005 0.0271,-0.0118 0,-0.007 0.0105,-0.0154 0.0234,-0.0196 0.0267,-0.009 0.0672,-0.0343 0.0938,-0.0587 0.01,-0.009 0.0268,-0.0167 0.0373,-0.0167 0.0105,0 0.0191,-0.006 0.0191,-0.0134 0,-0.008 0.0153,-0.0134 0.0341,-0.0134 0.0208,0 0.0307,-0.006 0.0254,-0.0142 -0.005,-0.008 0.003,-0.0176 0.0192,-0.0215 0.0154,-0.005 0.028,-0.012 0.028,-0.0177 0,-0.006 0.015,-0.0141 0.0334,-0.0186 0.0183,-0.005 0.0334,-0.0143 0.0334,-0.0215 0,-0.007 0.009,-0.0131 0.021,-0.0131 0.0115,0 0.0293,-0.008 0.0396,-0.0167 0.0483,-0.0433 0.062,-0.0519 0.0863,-0.0537 0.0143,-7.6e-4 0.029,-0.01 0.0326,-0.0192 0.003,-0.009 0.0158,-0.0172 0.0271,-0.0172 0.0112,0 0.0205,-0.006 0.0205,-0.0134 0,-0.008 0.0122,-0.0134 0.0271,-0.0134 0.0149,0 0.0306,-0.009 0.0348,-0.02 0.005,-0.011 0.019,-0.02 0.0329,-0.02 0.0139,0 0.0253,-0.006 0.0253,-0.0131 0,-0.007 0.015,-0.0169 0.0334,-0.0215 0.0183,-0.005 0.0334,-0.0137 0.0334,-0.0203 0,-0.007 0.009,-0.0119 0.0184,-0.0119 0.0101,0 0.0259,-0.009 0.035,-0.02 0.009,-0.011 0.0254,-0.02 0.036,-0.02 0.0106,0 0.0277,-0.008 0.0379,-0.0167 0.0397,-0.0356 0.0588,-0.05 0.0659,-0.05 0.005,0 0.0312,-0.0149 0.0601,-0.0332 0.0289,-0.0183 0.0596,-0.0348 0.0682,-0.0368 0.009,-0.002 0.0309,-0.0172 0.0496,-0.0339 0.0186,-0.0167 0.0479,-0.0338 0.0649,-0.0382 0.017,-0.005 0.0311,-0.0132 0.0311,-0.0197 0,-0.007 0.0122,-0.0119 0.0274,-0.0119 0.0151,0 0.0423,-0.015 0.0606,-0.0334 0.0183,-0.0183 0.0452,-0.0334 0.0594,-0.0334 0.0144,0 0.0261,-0.006 0.0261,-0.0125 0,-0.007 0.0133,-0.0166 0.0294,-0.0218 0.0162,-0.005 0.0376,-0.0176 0.0477,-0.0276 0.01,-0.01 0.0268,-0.0182 0.0374,-0.0182 0.0105,0 0.0191,-0.006 0.0191,-0.0134 0,-0.008 0.015,-0.0134 0.0334,-0.0134 0.0207,0 0.0334,-0.008 0.0334,-0.02 0,-0.0112 0.0119,-0.02 0.0267,-0.02 0.0147,0 0.0267,-0.005 0.0267,-0.0118 0,-0.007 0.0105,-0.0154 0.0234,-0.0196 0.0321,-0.0108 0.0698,-0.0357 0.12907,-0.0854 0.0109,-0.009 0.0264,-0.0167 0.0343,-0.0167 0.0133,0 0.0783,-0.0369 0.0935,-0.0532 0.003,-0.005 0.0306,-0.019 0.0598,-0.0336 0.0293,-0.0147 0.0612,-0.0341 0.071,-0.0432 0.01,-0.009 0.0264,-0.0167 0.0369,-0.0167 0.0105,0 0.0191,-0.006 0.0191,-0.0134 0,-0.008 0.009,-0.0134 0.0186,-0.0134 0.0102,0 0.022,-0.009 0.0263,-0.02 0.005,-0.0109 0.0199,-0.02 0.0348,-0.02 0.0149,0 0.0271,-0.006 0.0271,-0.0134 0,-0.008 0.0116,-0.0134 0.0258,-0.0134 0.0142,0 0.0299,-0.006 0.0347,-0.0141 0.005,-0.008 0.0217,-0.0198 0.0375,-0.0267 0.0352,-0.0153 0.075,-0.0404 0.0992,-0.0626 0.01,-0.009 0.0256,-0.0167 0.0348,-0.0167 0.009,0 0.0286,-0.0112 0.0432,-0.0248 0.0148,-0.0137 0.0504,-0.036 0.0793,-0.0495 0.029,-0.0136 0.0604,-0.0324 0.0702,-0.0419 0.01,-0.009 0.0262,-0.0172 0.0367,-0.0172 0.0105,0 0.0191,-0.006 0.0191,-0.0134 0,-0.008 0.009,-0.0134 0.0184,-0.0134 0.0101,0 0.0258,-0.009 0.035,-0.02 0.009,-0.0111 0.0279,-0.02 0.0417,-0.02 0.0137,0 0.025,-0.006 0.025,-0.0131 0,-0.007 0.0151,-0.0169 0.0334,-0.0215 0.0183,-0.005 0.0334,-0.0122 0.0335,-0.017 10e-5,-0.005 0.0241,-0.02 0.0533,-0.0341 0.0293,-0.0141 0.0532,-0.0306 0.0532,-0.0367 0,-0.006 0.0121,-0.0112 0.0271,-0.0112 0.0149,0 0.0306,-0.009 0.0348,-0.02 0.005,-0.0111 0.0169,-0.02 0.0281,-0.02 0.0112,0 0.0276,-0.01 0.0363,-0.0217 0.0319,-0.0436 0.12628,-0.0125 0.19549,0.0644 0.0118,0.0132 0.0281,0.024 0.0361,0.024 0.008,0 0.0192,0.009 0.0251,0.0183 0.006,0.01 0.0302,0.0282 0.054,0.0404 0.0239,0.0122 0.0434,0.027 0.0434,0.0331 0,0.01 0.0449,0.0355 0.0701,0.04 0.005,7.7e-4 0.0215,0.0123 0.0357,0.0251 0.0484,0.0439 0.0665,0.0567 0.0805,0.0567 0.008,0 0.014,0.006 0.014,0.0134 0,0.008 0.006,0.0134 0.0134,0.0134 0.008,0 0.0249,0.0106 0.039,0.0234 0.0484,0.0439 0.0665,0.0567 0.0805,0.0567 0.008,0 0.0139,0.006 0.0139,0.0134 0,0.008 0.009,0.0134 0.0205,0.0134 0.0112,0 0.0239,0.009 0.0281,0.02 0.005,0.0111 0.0133,0.02 0.0203,0.02 0.007,0 0.025,0.0116 0.0403,0.026 0.0239,0.0222 0.0251,0.0284 0.009,0.0434 -0.0271,0.025 -0.0675,0.0503 -0.0945,0.0594 -0.0128,0.005 -0.0234,0.0119 -0.0234,0.0166 0,0.005 -0.0225,0.0205 -0.05,0.035 -0.0275,0.0144 -0.0548,0.0339 -0.0607,0.0431 -0.006,0.009 -0.0223,0.0168 -0.0367,0.0168 -0.0143,0 -0.026,0.005 -0.026,0.0118 0,0.007 -0.0105,0.0154 -0.0234,0.0196 -0.0267,0.009 -0.0672,0.0343 -0.0938,0.0587 -0.01,0.009 -0.0268,0.0167 -0.0372,0.0167 -0.0105,0 -0.0191,0.006 -0.0191,0.0134 0,0.008 -0.009,0.0134 -0.02,0.0134 -0.0111,0 -0.02,0.009 -0.02,0.02 0,0.0111 -0.0118,0.02 -0.026,0.02 -0.0143,0 -0.0308,0.008 -0.0368,0.0174 -0.006,0.01 -0.0332,0.0278 -0.0607,0.0406 -0.0276,0.0128 -0.0501,0.0275 -0.0502,0.0326 -1.1e-4,0.01 -0.064,0.0427 -0.0831,0.0427 -0.0113,0 -0.0307,0.0141 -0.0765,0.0554 -0.0134,0.0121 -0.046,0.0298 -0.0724,0.0393 -0.0264,0.009 -0.048,0.0221 -0.048,0.0277 0,0.006 -0.0241,0.0227 -0.0533,0.0376 -0.0293,0.015 -0.0533,0.0332 -0.0533,0.0403 0,0.007 -0.0114,0.0131 -0.0253,0.0131 -0.0139,0 -0.0286,0.009 -0.0329,0.02 -0.005,0.0111 -0.0169,0.02 -0.0281,0.02 -0.0112,0 -0.0204,0.006 -0.0204,0.0131 0,0.007 -0.015,0.0169 -0.0334,0.0215 -0.0183,0.005 -0.0334,0.0137 -0.0334,0.0203 0,0.007 -0.009,0.0119 -0.02,0.0119 -0.0111,0 -0.02,0.005 -0.02,0.0119 0,0.007 -0.015,0.0157 -0.0334,0.0203 -0.0183,0.005 -0.0334,0.0143 -0.0334,0.0215 0,0.007 -0.007,0.0131 -0.0143,0.0131 -0.008,0 -0.0227,0.008 -0.0328,0.0167 -0.0464,0.0416 -0.0597,0.05 -0.0795,0.05 -0.0115,0 -0.0244,0.009 -0.0286,0.02 -0.005,0.0111 -0.0191,0.02 -0.033,0.02 -0.0138,0 -0.0253,0.006 -0.0253,0.0134 0,0.008 -0.008,0.0134 -0.0168,0.0134 -0.009,0 -0.033,0.0151 -0.0529,0.0334 -0.0198,0.0183 -0.0418,0.0334 -0.049,0.0334 -0.007,0 -0.0209,0.008 -0.0306,0.0167 -0.01,0.009 -0.0415,0.0287 -0.0708,0.0433 -0.0293,0.0147 -0.0605,0.0327 -0.0696,0.04 -0.009,0.008 -0.0254,0.0208 -0.0363,0.03 -0.0109,0.009 -0.0255,0.0167 -0.0324,0.0167 -0.007,0 -0.0159,0.009 -0.0202,0.02 -0.005,0.0111 -0.0173,0.02 -0.0291,0.02 -0.0118,0 -0.0298,0.008 -0.04,0.0167 -0.0462,0.0415 -0.0597,0.05 -0.079,0.05 -0.0113,0 -0.0206,0.006 -0.0206,0.0131 0,0.007 -0.015,0.0169 -0.0334,0.0215 -0.0183,0.005 -0.0334,0.013 -0.0334,0.0186 0,0.006 -0.0105,0.0139 -0.0234,0.0183 -0.0244,0.009 -0.072,0.0365 -0.0834,0.0497 -0.003,0.005 -0.0275,0.0192 -0.053,0.0334 -0.0499,0.0277 -0.058,0.0332 -0.10414,0.0711 -0.0167,0.0137 -0.0497,0.0328 -0.0733,0.0426 -0.0236,0.01 -0.0495,0.0239 -0.0574,0.0315 -0.008,0.008 -0.0424,0.0316 -0.0767,0.0533 -0.0343,0.0217 -0.0623,0.0442 -0.0623,0.05 0,0.006 -0.0114,0.0107 -0.0253,0.0107 -0.0139,0 -0.0287,0.009 -0.033,0.02 -0.005,0.0111 -0.0199,0.02 -0.0348,0.02 -0.0149,0 -0.0271,0.006 -0.0271,0.0134 0,0.008 -0.009,0.0134 -0.0193,0.0134 -0.0106,0 -0.0246,0.009 -0.0309,0.0206 -0.006,0.0114 -0.0247,0.0216 -0.0406,0.0228 -0.016,0.002 -0.0291,0.0103 -0.0291,0.0202 0,0.01 -0.006,0.0142 -0.0135,0.01 -0.008,-0.005 -0.017,7.7e-4 -0.0214,0.0126 -0.005,0.0115 -0.0193,0.0209 -0.0333,0.0209 -0.0139,0 -0.0253,0.009 -0.0253,0.02 0,0.0109 -0.009,0.02 -0.0202,0.02 -0.0247,0 -0.0764,0.0279 -0.0897,0.0485 -0.005,0.009 -0.0249,0.019 -0.0434,0.0236 -0.0184,0.005 -0.0335,0.0143 -0.0335,0.0215 0,0.007 -0.009,0.0131 -0.0208,0.0131 -0.0115,0 -0.0171,0.006 -0.0126,0.0134 0.005,0.008 -0.005,0.0134 -0.0196,0.0134 -0.0154,0 -0.0309,0.008 -0.0345,0.0172 -0.003,0.009 -0.0334,0.029 -0.0662,0.0434 -0.0328,0.0144 -0.0597,0.0306 -0.0597,0.0362 -6e-5,0.005 -0.009,0.01 -0.0211,0.01 -0.0115,0 -0.0293,0.008 -0.0396,0.0167 -0.039,0.0349 -0.0587,0.05 -0.0652,0.05 -0.007,0 -0.12791,0.0802 -0.14105,0.0934 -0.003,0.003 -0.0292,0.0182 -0.0567,0.0321 -0.0275,0.014 -0.05,0.0299 -0.05,0.0353 0,0.005 -0.015,0.0136 -0.0334,0.0182 -0.0183,0.005 -0.0334,0.0143 -0.0334,0.0215 0,0.007 -0.009,0.0131 -0.02,0.0131 -0.0111,0 -0.02,0.006 -0.02,0.0131 0,0.007 -0.015,0.0169 -0.0334,0.0215 -0.0183,0.005 -0.0334,0.0137 -0.0334,0.0203 0,0.007 -0.012,0.0119 -0.0267,0.0119 -0.0147,0 -0.0267,-0.005 -0.0267,-0.0114 z m 8.3197,-0.0215 c -0.0147,-0.0179 -0.0365,-0.0328 -0.0487,-0.0332 -0.0121,-2.7e-4 -0.0254,-0.01 -0.0296,-0.0206 -0.005,-0.0111 -0.0143,-0.02 -0.0225,-0.02 -0.008,0 -0.0231,-0.008 -0.0333,-0.0167 -0.0442,-0.0396 -0.0593,-0.05 -0.0724,-0.05 -0.008,0 -0.0138,-0.006 -0.0138,-0.0134 0,-0.008 -0.009,-0.0134 -0.0186,-0.0134 -0.0102,0 -0.022,-0.009 -0.0263,-0.02 -0.005,-0.011 -0.0154,-0.0201 -0.0248,-0.0202 -0.009,-1.1e-4 -0.0381,-0.0181 -0.0638,-0.0399 -0.0257,-0.0219 -0.0539,-0.0457 -0.0628,-0.0532 -0.009,-0.008 -0.0223,-0.0135 -0.03,-0.0135 -0.008,0 -0.0139,-0.005 -0.0139,-0.0119 0,-0.007 -0.0135,-0.0154 -0.03,-0.0197 -0.0165,-0.005 -0.0474,-0.0229 -0.0688,-0.0414 -0.0213,-0.0186 -0.0441,-0.0338 -0.0506,-0.0338 -0.007,0 -0.0258,-0.0151 -0.0428,-0.0334 -0.017,-0.0183 -0.0352,-0.0334 -0.0403,-0.0334 -0.005,0 -0.0178,-0.008 -0.028,-0.0167 -0.0453,-0.0406 -0.0595,-0.0501 -0.0757,-0.0503 -0.009,-9e-5 -0.0361,-0.0166 -0.0592,-0.0367 -0.0231,-0.02 -0.0554,-0.0455 -0.0717,-0.0565 -0.0163,-0.0111 -0.0375,-0.0276 -0.0471,-0.0367 -0.01,-0.009 -0.0239,-0.0167 -0.0318,-0.0167 -0.008,0 -0.0143,-0.012 -0.0143,-0.0267 0,-0.0147 0.007,-0.0267 0.0144,-0.0267 0.008,0 0.0318,-0.0165 0.0529,-0.0368 0.0596,-0.0567 0.0771,-0.0701 0.0922,-0.0701 0.008,0 0.014,-0.009 0.014,-0.02 0,-0.0111 0.009,-0.02 0.02,-0.02 0.0111,0 0.02,-0.006 0.02,-0.0141 0,-0.008 0.006,-0.0106 0.0125,-0.006 0.007,0.005 0.0187,-0.002 0.0263,-0.0158 0.008,-0.013 0.014,-0.0187 0.0141,-0.0127 2.1e-4,0.006 0.0206,-0.0105 0.0454,-0.0367 0.0247,-0.0262 0.0517,-0.0477 0.0601,-0.0477 0.009,0 0.0151,-0.009 0.0151,-0.02 0,-0.0111 0.005,-0.0185 0.0103,-0.0167 0.006,0.002 0.028,-0.0132 0.0499,-0.0334 0.0219,-0.0203 0.0467,-0.0367 0.0553,-0.0367 0.009,0 0.0177,-0.005 0.0203,-0.0101 0.002,-0.005 0.0314,-0.0306 0.0645,-0.0558 0.0331,-0.0251 0.0728,-0.0596 0.0883,-0.0766 0.0155,-0.017 0.0345,-0.0309 0.0423,-0.0309 0.008,0 0.016,-0.005 0.0184,-0.0105 0.002,-0.006 0.0308,-0.0313 0.0631,-0.0567 0.0323,-0.0254 0.0831,-0.0688 0.11283,-0.0962 0.0298,-0.0275 0.0598,-0.05 0.0666,-0.05 0.007,0 0.0263,-0.015 0.0433,-0.0334 0.017,-0.0183 0.0373,-0.0334 0.0448,-0.0334 0.008,0 0.014,-0.009 0.014,-0.0208 0,-0.0115 0.006,-0.017 0.0135,-0.0125 0.008,0.005 0.017,-7.6e-4 0.0214,-0.0125 0.005,-0.0114 0.0121,-0.0183 0.017,-0.0152 0.005,0.003 0.0477,-0.0299 0.0949,-0.0734 0.0473,-0.0435 0.0981,-0.0791 0.11302,-0.0793 0.0223,-1.6e-4 0.0236,-0.002 0.007,-0.0131 -0.0178,-0.0114 -0.0178,-0.013 0,-0.0134 0.0109,-2e-4 0.053,-0.0303 0.0934,-0.0669 0.0403,-0.0366 0.0839,-0.0699 0.0968,-0.0742 0.0128,-0.005 0.0234,-0.0133 0.0234,-0.0201 0,-0.007 0.006,-0.0125 0.0134,-0.0125 0.008,0 0.0243,-0.0105 0.0377,-0.0234 0.0413,-0.0396 0.0955,-0.0834 0.10309,-0.0834 0.005,0 0.0212,-0.015 0.0381,-0.0334 0.017,-0.0183 0.0377,-0.0334 0.0461,-0.0334 0.009,0 0.0151,-0.009 0.0151,-0.02 0,-0.011 0.009,-0.02 0.0206,-0.02 0.0114,0 0.0346,-0.015 0.0516,-0.0334 0.017,-0.0183 0.0345,-0.0334 0.039,-0.0334 0.005,0 0.0277,-0.0183 0.0518,-0.0405 0.0241,-0.0222 0.0599,-0.0553 0.0797,-0.0733 0.0197,-0.018 0.0392,-0.0329 0.0432,-0.0329 0.005,0 0.021,-0.0116 0.0375,-0.0259 0.0928,-0.0798 0.11101,-0.0942 0.11918,-0.0942 0.005,-1e-5 0.026,-0.0166 0.0467,-0.0369 0.0207,-0.0203 0.0647,-0.0578 0.0978,-0.0833 0.0331,-0.0255 0.0621,-0.051 0.0645,-0.0565 0.002,-0.005 0.0102,-0.0101 0.0173,-0.0101 0.007,0 0.0268,-0.0135 0.0439,-0.03 0.0434,-0.0419 0.0867,-0.0767 0.0956,-0.0767 0.005,0 0.0158,-0.008 0.0261,-0.0167 0.0465,-0.0417 0.0598,-0.05 0.0798,-0.05 0.0118,0 0.018,-0.005 0.0141,-0.0119 -0.005,-0.007 0.009,-0.0225 0.0283,-0.0353 0.0196,-0.0128 0.0587,-0.0461 0.0866,-0.0738 0.028,-0.0277 0.051,-0.0448 0.051,-0.0381 0,0.007 0.0115,0.0123 0.0257,0.0123 0.0141,0 0.0338,0.008 0.0436,0.0167 0.01,0.009 0.0418,0.0286 0.071,0.0432 0.0293,0.0147 0.0562,0.0297 0.0598,0.0336 0.0182,0.0193 0.0815,0.0532 0.0996,0.0532 0.0113,0 0.0205,0.005 0.0205,0.0119 0,0.007 0.015,0.0157 0.0334,0.0203 0.0183,0.005 0.0334,0.0143 0.0334,0.0215 0,0.007 0.01,0.0131 0.0216,0.0131 0.024,0 0.18258,0.0809 0.18962,0.0967 0.002,0.005 0.0159,0.01 0.03,0.01 0.014,0 0.0256,0.006 0.0256,0.0134 0,0.008 0.012,0.0134 0.0267,0.0134 0.0147,0 0.0267,0.007 0.0267,0.0156 0,0.009 0.003,0.0119 0.008,0.008 0.005,-0.005 0.021,0.005 0.0368,0.0188 0.0157,0.0147 0.0451,0.0301 0.0653,0.0342 0.0202,0.005 0.0368,0.0118 0.0368,0.0173 0,0.005 0.03,0.0241 0.0667,0.0415 0.0367,0.0174 0.0667,0.0363 0.0667,0.0419 0,0.006 0.0165,0.0104 0.0367,0.0106 l 0.0367,5.2e-4 -0.0367,0.0322 c -0.0202,0.0178 -0.0367,0.0386 -0.0367,0.0462 0,0.008 -0.006,0.014 -0.0138,0.014 -0.008,0 -0.0301,0.0166 -0.0501,0.0369 -0.0199,0.0203 -0.0603,0.0549 -0.0896,0.0767 -0.0709,0.0529 -0.0867,0.0685 -0.0867,0.0855 0,0.008 -0.007,0.0143 -0.0147,0.0143 -0.008,0 -0.0265,0.015 -0.041,0.0334 -0.0144,0.0183 -0.0348,0.0334 -0.0453,0.0334 -0.0105,0 -0.0191,0.007 -0.0191,0.0143 0,0.015 -0.0326,0.0524 -0.0456,0.0524 -0.008,0 -0.0614,0.0432 -0.10342,0.0834 -0.0134,0.0128 -0.0304,0.0234 -0.0377,0.0234 -0.008,0 -0.0134,0.009 -0.0134,0.02 0,0.011 -0.006,0.02 -0.0142,0.02 -0.008,0 -0.0333,0.0196 -0.0567,0.0435 -0.0234,0.024 -0.0634,0.0591 -0.0892,0.0783 -0.0257,0.019 -0.0715,0.0594 -0.10183,0.0898 -0.0303,0.0304 -0.0618,0.0552 -0.0701,0.0552 -0.009,0 -0.0149,0.009 -0.0149,0.02 0,0.0116 -0.0121,0.02 -0.029,0.02 -0.0159,0 -0.0254,0.003 -0.0212,0.008 0.0105,0.0104 -0.14918,0.16569 -0.17027,0.16569 -0.003,0 -0.0458,0.039 -0.0938,0.0867 -0.048,0.0477 -0.0902,0.0867 -0.094,0.0867 -0.003,0 -0.0208,0.0135 -0.0379,0.03 -0.0509,0.0491 -0.0873,0.0767 -0.1013,0.0767 -0.007,0 -0.0132,0.007 -0.0132,0.0143 0,0.0167 -0.0332,0.0523 -0.049,0.0527 -0.006,1.5e-4 -0.0455,0.0332 -0.0877,0.0734 -0.0422,0.0403 -0.0795,0.0731 -0.0828,0.0731 -0.003,0 -0.0264,0.021 -0.0513,0.0467 -0.0249,0.0257 -0.0523,0.0468 -0.0607,0.0468 -0.009,0 -0.0154,0.006 -0.0154,0.0128 0,0.014 -0.074,0.0939 -0.087,0.0939 -0.005,0 -0.027,0.0179 -0.0505,0.04 -0.0235,0.022 -0.0476,0.0399 -0.0536,0.04 -0.0178,1e-4 -0.0486,0.0361 -0.039,0.0458 0.005,0.005 -0.003,0.0121 -0.019,0.0161 -0.0154,0.005 -0.0355,0.0218 -0.045,0.0395 -0.009,0.0177 -0.0253,0.0322 -0.035,0.0322 -0.01,0 -0.0177,0.006 -0.0177,0.0134 0,0.008 -0.009,0.0134 -0.02,0.0134 -0.0111,0 -0.02,0.009 -0.02,0.019 0,0.0105 -0.005,0.0208 -0.0118,0.0234 -0.014,0.005 -0.11677,0.0878 -0.15108,0.12121 -0.0132,0.0128 -0.0271,0.0234 -0.0311,0.0234 -0.005,0 -0.0242,0.0165 -0.0452,0.0367 -0.0824,0.0796 -0.15021,0.13678 -0.1621,0.13678 -0.007,0 -0.0125,0.009 -0.0125,0.02 0,0.0109 -0.006,0.02 -0.0134,0.02 -0.008,0 -0.0489,0.0361 -0.0923,0.08 -0.0433,0.044 -0.0898,0.08 -0.10332,0.08 -0.0134,-1e-4 -0.0364,-0.0148 -0.0512,-0.0327 z m -9.30545,-1.00488 c -0.0234,-0.009 -0.0603,-0.0451 -0.0893,-0.0893 -0.0125,-0.0191 -0.0249,-0.0325 -0.0277,-0.0296 -0.007,0.007 -0.17819,-0.16457 -0.17819,-0.17825 0,-0.006 -0.0121,-0.0148 -0.0269,-0.0194 -0.0148,-0.005 -0.0235,-0.0141 -0.0192,-0.0209 0.005,-0.007 -0.002,-0.0124 -0.0124,-0.0124 -0.0111,0 -0.0306,-0.018 -0.0437,-0.04 -0.013,-0.022 -0.0324,-0.0401 -0.043,-0.0401 -0.0106,0 -0.016,-0.003 -0.012,-0.008 0.005,-0.005 -0.0301,-0.0459 -0.0761,-0.0929 -0.0459,-0.0471 -0.0808,-0.0882 -0.0776,-0.0915 0.003,-0.003 -0.007,-0.01 -0.0219,-0.0147 -0.026,-0.009 -0.0263,-0.0102 -0.005,-0.0312 0.0123,-0.0123 0.0267,-0.0225 0.0319,-0.0225 0.005,0 0.0347,-0.0165 0.0655,-0.0367 0.0308,-0.0203 0.0646,-0.0368 0.0748,-0.0368 0.0104,0 0.0189,-0.005 0.0189,-0.0121 0,-0.007 0.0331,-0.0257 0.0733,-0.0425 0.0403,-0.0167 0.0733,-0.0353 0.0733,-0.0413 0,-0.006 0.012,-0.0109 0.0267,-0.0109 0.0147,0 0.0267,-0.005 0.0268,-0.01 1.6e-4,-0.0154 0.0788,-0.0567 0.10774,-0.0567 0.0141,0 0.0256,-0.005 0.0256,-0.0112 0,-0.006 0.0331,-0.0251 0.0733,-0.0422 0.0403,-0.017 0.0733,-0.0361 0.0733,-0.0423 0,-0.006 0.012,-0.0112 0.0267,-0.0112 0.0147,0 0.0267,-0.005 0.0267,-0.0109 0,-0.006 0.0285,-0.0244 0.0633,-0.041 0.12095,-0.0574 0.19013,-0.0971 0.19013,-0.1094 0,-0.007 0.015,-0.0123 0.0334,-0.0123 0.0183,0 0.0334,-0.005 0.0334,-0.0118 0,-0.007 0.0105,-0.0154 0.0234,-0.0196 0.0264,-0.009 0.0733,-0.0374 0.0836,-0.051 0.003,-0.005 0.0233,-0.0131 0.0434,-0.0181 0.0201,-0.005 0.0366,-0.0145 0.0366,-0.0211 0,-0.007 0.009,-0.0119 0.0184,-0.0119 0.0101,0 0.0258,-0.009 0.035,-0.02 0.009,-0.0111 0.0271,-0.02 0.04,-0.02 0.0128,0 0.0309,-0.009 0.04,-0.02 0.009,-0.0109 0.0279,-0.02 0.0417,-0.02 0.0137,0 0.025,-0.006 0.025,-0.0134 0,-0.008 0.009,-0.0134 0.02,-0.0134 0.0111,0 0.02,-0.006 0.02,-0.0125 0,-0.007 0.0135,-0.0164 0.03,-0.0211 0.0568,-0.0163 0.11675,-0.0478 0.11675,-0.0613 0,-0.008 0.005,-0.0101 0.0122,-0.006 0.007,0.005 0.0203,4e-5 0.03,-0.009 0.01,-0.009 0.0477,-0.0313 0.0845,-0.049 0.0368,-0.0177 0.0697,-0.036 0.0733,-0.0405 0.003,-0.005 0.0487,-0.0296 0.10008,-0.0556 0.15823,-0.0803 0.20666,-0.10734 0.21435,-0.11976 0.005,-0.007 0.0221,-0.012 0.04,-0.012 0.0179,0 0.0326,-0.006 0.0326,-0.0131 0,-0.007 0.015,-0.0169 0.0334,-0.0215 0.0183,-0.005 0.0334,-0.0137 0.0334,-0.0203 0,-0.007 0.012,-0.0119 0.0267,-0.0119 0.0147,0 0.0267,-0.005 0.0267,-0.0109 0,-0.006 0.0296,-0.0237 0.0656,-0.0395 0.0361,-0.0157 0.0694,-0.0349 0.0741,-0.0426 0.005,-0.008 0.0205,-0.0138 0.0349,-0.0138 0.0144,0 0.0298,-0.009 0.034,-0.02 0.005,-0.0111 0.0155,-0.02 0.0251,-0.02 0.01,0 0.0196,-0.005 0.0219,-0.01 0.006,-0.0136 0.14712,-0.0839 0.1679,-0.0836 0.009,9e-5 0.0167,-0.006 0.0167,-0.0128 0,-0.007 0.015,-0.0169 0.0334,-0.0215 0.0183,-0.005 0.0334,-0.0133 0.0334,-0.0193 0,-0.006 0.0133,-0.0152 0.0293,-0.0203 0.0162,-0.005 0.0379,-0.0179 0.0484,-0.0283 0.0105,-0.0105 0.0272,-0.0158 0.0374,-0.012 0.0104,0.005 0.0183,-0.002 0.0183,-0.0126 0,-0.012 0.0129,-0.0196 0.0334,-0.0196 0.0183,0 0.0334,-0.006 0.0334,-0.0134 0,-0.008 0.009,-0.0134 0.0191,-0.0134 0.0105,0 0.027,-0.008 0.0367,-0.0168 0.01,-0.009 0.0431,-0.0288 0.0743,-0.0434 0.0311,-0.0147 0.0566,-0.0311 0.0567,-0.0365 1e-4,-0.005 0.0119,-0.01 0.0262,-0.01 0.0143,0 0.0321,-0.0105 0.0396,-0.0234 0.008,-0.0128 0.0138,-0.0189 0.0141,-0.0135 5.2e-4,0.0149 0.1122,-0.032 0.1245,-0.0523 0.006,-0.01 0.0186,-0.0177 0.0283,-0.0177 0.01,0 0.0252,-0.009 0.0343,-0.02 0.009,-0.0111 0.0279,-0.02 0.0417,-0.02 0.0137,0 0.0251,-0.005 0.0251,-0.0119 0,-0.007 0.015,-0.0157 0.0334,-0.0203 0.0183,-0.005 0.0334,-0.0143 0.0334,-0.0215 0,-0.007 0.009,-0.0131 0.02,-0.0131 0.0111,0 0.02,-0.006 0.02,-0.0128 0,-0.007 0.0211,-0.0167 0.0468,-0.0215 0.0257,-0.005 0.0502,-0.0141 0.0542,-0.0206 0.005,-0.007 0.0234,-0.0119 0.0432,-0.0121 0.027,-1.6e-4 0.0311,-0.003 0.0166,-0.0125 -0.0151,-0.01 -0.0115,-0.0141 0.0167,-0.0212 0.0198,-0.005 0.0361,-0.0144 0.0361,-0.021 0,-0.007 0.0112,-0.0119 0.025,-0.0119 0.0138,0 0.0326,-0.009 0.0417,-0.02 0.009,-0.0111 0.0251,-0.02 0.0354,-0.02 0.0104,0 0.0222,-0.009 0.0264,-0.02 0.005,-0.0111 0.0235,-0.0201 0.043,-0.0203 0.0276,-1.5e-4 0.031,-0.002 0.0152,-0.0131 -0.0163,-0.0105 -0.0145,-0.013 0.009,-0.0131 0.0161,-10e-5 0.0326,-0.006 0.0368,-0.0125 0.005,-0.007 0.0256,-0.0163 0.0475,-0.0211 0.0219,-0.005 0.0399,-0.0143 0.0399,-0.0211 0,-0.007 0.0114,-0.0122 0.0253,-0.0122 0.0139,0 0.0287,-0.009 0.033,-0.02 0.005,-0.0111 0.0199,-0.02 0.0348,-0.02 0.0149,0 0.0271,-0.005 0.0271,-0.0105 0,-0.006 0.0196,-0.0198 0.0434,-0.0311 0.0239,-0.0113 0.0614,-0.03 0.0834,-0.0417 0.022,-0.0116 0.0626,-0.032 0.0901,-0.0453 0.0276,-0.0134 0.05,-0.0289 0.05,-0.0345 0,-0.006 0.0112,-0.0103 0.025,-0.0103 0.0137,0 0.0325,-0.009 0.0417,-0.02 0.009,-0.0111 0.0249,-0.02 0.035,-0.02 0.0101,0 0.0184,-0.006 0.0184,-0.0134 0,-0.008 0.0152,-0.0134 0.0338,-0.0134 0.0186,0 0.0372,-0.009 0.0414,-0.02 0.005,-0.0111 0.019,-0.02 0.033,-0.02 0.0138,0 0.0253,-0.005 0.0253,-0.0101 0,-0.005 0.0298,-0.0237 0.0662,-0.0404 0.0364,-0.0167 0.0697,-0.0362 0.0741,-0.0433 0.005,-0.007 0.0196,-0.0129 0.0339,-0.0129 0.0143,0 0.0259,-0.005 0.0261,-0.01 9e-5,-0.005 0.0256,-0.0219 0.0567,-0.0364 0.0311,-0.0145 0.0596,-0.0302 0.0632,-0.0348 0.003,-0.005 0.0306,-0.0187 0.06,-0.0317 0.0925,-0.0406 0.14655,-0.0669 0.15345,-0.0749 0.003,-0.005 0.0157,-0.0118 0.0267,-0.0168 0.0111,-0.005 0.038,-0.0212 0.06,-0.0359 0.022,-0.0147 0.0505,-0.0303 0.0633,-0.0348 0.0128,-0.005 0.0234,-0.0134 0.0234,-0.0199 0,-0.007 0.015,-0.0118 0.0334,-0.0118 0.0183,0 0.0334,-0.006 0.0334,-0.0131 0,-0.007 0.015,-0.0169 0.0334,-0.0215 0.0183,-0.005 0.0334,-0.0122 0.0335,-0.017 5e-5,-0.005 0.027,-0.0204 0.06,-0.0349 0.033,-0.0144 0.0599,-0.0306 0.0599,-0.0358 0,-0.005 0.0133,-0.0136 0.0293,-0.0189 0.0162,-0.005 0.0377,-0.0177 0.0477,-0.0277 0.0101,-0.0101 0.0232,-0.0154 0.0291,-0.0117 0.006,0.003 0.0182,-0.002 0.0272,-0.0132 0.009,-0.011 0.0277,-0.0199 0.0416,-0.0199 0.0138,0 0.0251,-0.006 0.0251,-0.0131 0,-0.007 0.015,-0.0169 0.0334,-0.0215 0.0183,-0.005 0.0334,-0.0137 0.0334,-0.0203 0,-0.007 0.009,-0.0119 0.02,-0.0119 0.0111,0 0.02,-0.006 0.02,-0.0134 0,-0.008 0.008,-0.0134 0.0176,-0.0134 0.0277,0 0.12927,-0.0526 0.12927,-0.067 0,-0.007 0.0116,-0.013 0.026,-0.013 0.0142,0 0.0297,-0.006 0.0341,-0.0134 0.005,-0.008 0.0201,-0.0134 0.0346,-0.0134 0.0144,0 0.0298,-0.009 0.034,-0.02 0.005,-0.0109 0.019,-0.02 0.0329,-0.02 0.0139,0 0.0253,-0.006 0.0253,-0.0131 0,-0.007 0.0164,-0.0172 0.0366,-0.0222 0.0201,-0.005 0.0439,-0.0157 0.0529,-0.0236 0.047,-0.0416 0.059,-0.0477 0.0909,-0.0477 0.0191,0 0.0312,-0.006 0.027,-0.0126 -0.005,-0.007 0.0149,-0.0227 0.0426,-0.035 0.12252,-0.0547 0.14915,-0.0693 0.14115,-0.0773 -0.005,-0.005 0.008,-0.009 0.0275,-0.009 0.0198,0 0.0395,-0.009 0.0436,-0.02 0.005,-0.0111 0.0221,-0.02 0.0396,-0.02 0.0176,0 0.0319,-0.005 0.0319,-0.0123 0,-0.0138 0.0751,-0.0544 0.10071,-0.0544 0.009,0 0.0199,-0.009 0.0242,-0.02 0.005,-0.0111 0.0199,-0.02 0.0348,-0.02 0.0149,0 0.0271,-0.006 0.0271,-0.0134 0,-0.0225 0.0842,-0.013 0.12677,0.0141 0.022,0.0141 0.049,0.0293 0.0601,0.0339 0.0766,0.0315 0.10674,0.0483 0.10674,0.0594 0,0.007 0.015,0.0128 0.0334,0.0128 0.0183,0 0.0334,0.005 0.0334,0.0108 0,0.006 0.0329,0.0254 0.0733,0.0434 0.0403,0.0179 0.0733,0.0371 0.0734,0.0426 1e-4,0.005 0.009,0.01 0.0202,0.01 0.0111,0 0.02,0.007 0.02,0.0156 0,0.009 0.003,0.0118 0.009,0.008 0.006,-0.006 0.16717,0.0673 0.20405,0.0932 0.0102,0.007 -0.043,0.0574 -0.061,0.0574 -0.01,0 -0.018,0.005 -0.0181,0.01 -5e-5,0.005 -0.027,0.0219 -0.0601,0.0364 -0.033,0.0144 -0.06,0.031 -0.06,0.0367 0,0.006 -0.01,0.0104 -0.0214,0.0104 -0.0118,0 -0.0433,0.0167 -0.0701,0.037 -0.0267,0.0204 -0.0711,0.0474 -0.0986,0.0598 -0.0276,0.0125 -0.05,0.0289 -0.05,0.0363 0,0.008 -0.015,0.0136 -0.0334,0.0136 -0.0183,0 -0.0334,0.006 -0.0334,0.0134 0,0.008 -0.009,0.0134 -0.0184,0.0134 -0.0101,0 -0.0258,0.009 -0.035,0.02 -0.009,0.0111 -0.0281,0.02 -0.0421,0.02 -0.0141,0 -0.0289,0.009 -0.0332,0.0199 -0.005,0.0109 -0.0127,0.0169 -0.0187,0.0131 -0.006,-0.003 -0.0173,0.003 -0.0249,0.0168 -0.008,0.013 -0.014,0.0189 -0.0141,0.013 -2e-4,-0.006 -0.026,0.006 -0.0571,0.0267 -0.0312,0.0206 -0.0807,0.0493 -0.11007,0.0639 -0.0293,0.0147 -0.0613,0.0342 -0.071,0.0434 -0.01,0.009 -0.0262,0.0167 -0.0367,0.0167 -0.0105,0 -0.0191,0.005 -0.0191,0.0119 0,0.007 -0.015,0.0157 -0.0334,0.0203 -0.0183,0.005 -0.0334,0.0143 -0.0334,0.0215 0,0.007 -0.012,0.0131 -0.0267,0.0131 -0.0147,0 -0.0267,0.005 -0.0267,0.0113 0,0.006 -0.0255,0.0225 -0.0567,0.0361 -0.0312,0.0137 -0.10867,0.0566 -0.17216,0.0954 -0.0635,0.0388 -0.12204,0.0705 -0.13011,0.0705 -0.008,0 -0.0147,0.005 -0.0147,0.0105 0,0.006 -0.039,0.0311 -0.0867,0.0562 -0.0477,0.0253 -0.0867,0.0506 -0.0867,0.0562 0,0.006 -0.009,0.0105 -0.0184,0.0105 -0.0101,0 -0.0258,0.009 -0.035,0.02 -0.009,0.011 -0.0279,0.02 -0.0417,0.02 -0.0138,0 -0.0251,0.006 -0.0251,0.0134 0,0.008 -0.009,0.0134 -0.0184,0.0134 -0.0101,0 -0.0258,0.009 -0.035,0.02 -0.009,0.0111 -0.0279,0.02 -0.0417,0.02 -0.0138,0 -0.025,0.005 -0.025,0.0119 0,0.007 -0.015,0.0157 -0.0334,0.0203 -0.0183,0.005 -0.0334,0.0143 -0.0334,0.0215 0,0.007 -0.009,0.0131 -0.02,0.0131 -0.0111,0 -0.02,0.006 -0.02,0.0131 0,0.007 -0.015,0.0169 -0.0334,0.0215 -0.0183,0.005 -0.0334,0.0137 -0.0334,0.0203 0,0.007 -0.0122,0.0119 -0.0271,0.0119 -0.0149,0 -0.0306,0.009 -0.0348,0.02 -0.005,0.0111 -0.0221,0.02 -0.0396,0.02 -0.0176,0 -0.0319,0.005 -0.0319,0.0118 0,0.007 -0.0105,0.0154 -0.0234,0.0196 -0.0254,0.009 -0.0727,0.037 -0.0834,0.0502 -0.003,0.005 -0.0202,0.0124 -0.0367,0.0176 -0.0165,0.005 -0.03,0.015 -0.03,0.0219 0,0.007 -0.006,0.0125 -0.0131,0.0125 -0.007,0 -0.0523,0.0241 -0.10031,0.0533 -0.0479,0.0293 -0.0991,0.0533 -0.11365,0.0533 -0.0145,0 -0.0264,0.006 -0.0264,0.0125 0,0.007 -0.0133,0.0166 -0.0293,0.0218 -0.0162,0.005 -0.0376,0.0176 -0.0477,0.0276 -0.01,0.01 -0.0268,0.0183 -0.0374,0.0183 -0.0105,0 -0.019,0.006 -0.019,0.0134 0,0.008 -0.009,0.0134 -0.0186,0.0134 -0.0102,0 -0.022,0.009 -0.0263,0.02 -0.005,0.0111 -0.0199,0.02 -0.0348,0.02 -0.0149,0 -0.0271,0.006 -0.0271,0.0131 0,0.007 -0.015,0.0169 -0.0334,0.0215 -0.0183,0.005 -0.0334,0.0137 -0.0334,0.0203 0,0.007 -0.009,0.0119 -0.02,0.0119 -0.0111,0 -0.02,0.006 -0.02,0.0134 0,0.008 -0.0121,0.0134 -0.0271,0.0134 -0.0149,0 -0.0306,0.009 -0.0348,0.02 -0.005,0.0111 -0.0187,0.02 -0.0322,0.02 -0.0135,0 -0.0298,0.009 -0.0361,0.0206 -0.006,0.0114 -0.0247,0.0216 -0.0406,0.0229 -0.016,0.002 -0.0291,0.007 -0.0291,0.0127 0,0.006 -0.009,0.0105 -0.0186,0.0105 -0.0102,0 -0.022,0.009 -0.0263,0.02 -0.005,0.011 -0.0199,0.02 -0.0348,0.02 -0.0149,0 -0.0271,0.005 -0.0271,0.0119 0,0.007 -0.015,0.0157 -0.0334,0.0203 -0.0183,0.005 -0.0334,0.0143 -0.0334,0.0215 0,0.007 -0.012,0.0131 -0.0267,0.0131 -0.0147,0 -0.0267,0.006 -0.0267,0.013 0,0.007 -0.0255,0.0254 -0.0567,0.0406 -0.10769,0.0524 -0.23019,0.12272 -0.23463,0.13459 -0.002,0.007 -0.0125,0.0119 -0.0225,0.0119 -0.01,0 -0.0259,0.008 -0.0358,0.0167 -0.01,0.009 -0.0418,0.0286 -0.071,0.0432 -0.0293,0.0147 -0.0562,0.0299 -0.0598,0.0341 -0.0157,0.0177 -0.16149,0.0928 -0.17994,0.0928 -0.0111,0 -0.0202,0.005 -0.0202,0.0118 0,0.007 -0.0105,0.0154 -0.0234,0.0196 -0.0267,0.009 -0.0672,0.0343 -0.0938,0.0587 -0.01,0.009 -0.0268,0.0167 -0.0373,0.0167 -0.0105,0 -0.0191,0.006 -0.0191,0.0134 0,0.008 -0.009,0.0134 -0.0206,0.0134 -0.0113,0 -0.0368,0.0111 -0.0567,0.0246 -0.0199,0.0135 -0.0632,0.042 -0.0962,0.0633 -0.0331,0.0213 -0.063,0.0419 -0.0667,0.0459 -0.003,0.005 -0.0534,0.0306 -0.1105,0.0593 -0.0572,0.0286 -0.11039,0.06 -0.11839,0.0697 -0.008,0.01 -0.0262,0.0176 -0.0404,0.0176 -0.0142,0 -0.0225,0.005 -0.0185,0.0119 0.005,0.007 -0.009,0.0158 -0.0275,0.0206 -0.0192,0.005 -0.0437,0.0176 -0.0544,0.0283 -0.0107,0.0107 -0.025,0.0161 -0.0318,0.0119 -0.007,-0.005 -0.0122,0.002 -0.0122,0.0133 0,0.0115 -0.0105,0.0212 -0.0234,0.0218 -0.0128,5.1e-4 -0.0413,0.0122 -0.0633,0.026 -0.022,0.0138 -0.067,0.0388 -0.10008,0.0558 -0.0331,0.0169 -0.063,0.0345 -0.0667,0.039 -0.003,0.005 -0.0202,0.0124 -0.0367,0.0177 -0.0165,0.005 -0.03,0.015 -0.03,0.0219 0,0.007 -0.009,0.0125 -0.02,0.0125 -0.0111,0 -0.02,0.005 -0.02,0.0113 0,0.006 -0.027,0.0225 -0.0601,0.0361 -0.0331,0.0136 -0.06,0.0293 -0.06,0.0348 0,0.005 -0.0225,0.0198 -0.05,0.0318 -0.0276,0.012 -0.0591,0.0273 -0.0701,0.0341 -0.0111,0.007 -0.029,0.0163 -0.0401,0.0213 -0.011,0.005 -0.023,0.0124 -0.0267,0.0166 -0.003,0.005 -0.0338,0.0209 -0.0668,0.037 -0.0331,0.0161 -0.0734,0.0416 -0.0895,0.0567 -0.0162,0.0151 -0.0383,0.0274 -0.0491,0.0274 -0.0109,0 -0.0237,0.006 -0.0285,0.0141 -0.005,0.008 -0.0217,0.0198 -0.0375,0.0267 -0.0158,0.007 -0.0405,0.02 -0.0549,0.0292 -0.0809,0.0516 -0.12902,0.0768 -0.14702,0.0768 -0.0111,0 -0.0203,0.005 -0.0203,0.0103 0,0.006 -0.0225,0.0222 -0.05,0.0367 -0.0275,0.0145 -0.058,0.0339 -0.0676,0.0431 -0.01,0.009 -0.0262,0.0166 -0.0367,0.0166 -0.0105,0 -0.019,0.005 -0.019,0.0102 0,0.0102 -0.0396,0.0343 -0.0834,0.0509 -0.0128,0.005 -0.0234,0.0141 -0.0234,0.0206 0,0.007 -0.0144,0.0118 -0.0319,0.0118 -0.0176,0 -0.0354,0.009 -0.0396,0.02 -0.005,0.011 -0.0163,0.02 -0.027,0.02 -0.0106,0 -0.0213,0.005 -0.0238,0.01 -0.002,0.005 -0.0328,0.0239 -0.0675,0.0409 -0.0347,0.017 -0.0665,0.0364 -0.0708,0.0434 -0.005,0.007 -0.0194,0.0126 -0.0336,0.0126 -0.0142,0 -0.026,0.006 -0.026,0.0127 0,0.007 -0.0225,0.0233 -0.05,0.0362 -0.0275,0.0129 -0.058,0.0312 -0.0676,0.0406 -0.01,0.009 -0.0265,0.0172 -0.0375,0.0172 -0.0109,0 -0.0162,0.006 -0.0115,0.0134 0.005,0.008 -0.003,0.0134 -0.0177,0.0134 -0.0142,0 -0.0333,0.009 -0.0425,0.02 -0.009,0.0111 -0.0309,0.02 -0.0483,0.02 -0.0175,0 -0.0318,0.005 -0.0318,0.0103 0,0.006 -0.0225,0.0222 -0.05,0.0367 -0.0276,0.0144 -0.058,0.0339 -0.0676,0.0431 -0.01,0.009 -0.0262,0.0167 -0.0368,0.0167 -0.0105,0 -0.0191,0.006 -0.0191,0.0134 0,0.008 -0.0118,0.0134 -0.026,0.0134 -0.0143,0 -0.0308,0.008 -0.0367,0.0177 -0.0134,0.0221 -0.0449,0.0338 -0.069,0.0254 z m 5.35576,-1.75103 c -0.008,-0.007 -0.0269,-0.0243 -0.0433,-0.0394 -0.0165,-0.0151 -0.0361,-0.0274 -0.0434,-0.0274 -0.008,0 -0.0134,-0.005 -0.0134,-0.0119 0,-0.007 -0.015,-0.0157 -0.0334,-0.0203 -0.0183,-0.005 -0.0334,-0.0143 -0.0334,-0.0215 0,-0.007 -0.009,-0.0131 -0.02,-0.0131 -0.0111,0 -0.02,-0.005 -0.02,-0.0119 0,-0.007 -0.015,-0.0157 -0.0334,-0.0203 -0.0183,-0.005 -0.0334,-0.0143 -0.0334,-0.0215 0,-0.007 -0.006,-0.0131 -0.014,-0.0131 -0.0144,0 -0.029,-0.0108 -0.0901,-0.0667 -0.02,-0.0183 -0.0589,-0.0448 -0.0863,-0.0588 -0.0274,-0.014 -0.0499,-0.0298 -0.0499,-0.0351 0,-0.005 -0.0105,-0.0132 -0.0234,-0.0176 -0.0335,-0.0113 -0.0721,-0.0374 -0.10601,-0.072 -0.0163,-0.0165 -0.0367,-0.03 -0.0454,-0.03 -0.016,0 -0.051,-0.0383 -0.0517,-0.0567 -2.4e-4,-0.005 0.0115,-0.01 0.0263,-0.01 0.0147,0 0.0267,-0.005 0.0267,-0.0119 0,-0.007 0.015,-0.0157 0.0334,-0.0203 0.0183,-0.005 0.0334,-0.0143 0.0334,-0.0215 0,-0.007 0.012,-0.0131 0.0267,-0.0131 0.0147,0 0.0267,-0.006 0.0267,-0.013 0,-0.007 0.0267,-0.0251 0.0592,-0.04 0.0326,-0.0148 0.063,-0.0329 0.0675,-0.0403 0.005,-0.008 0.0199,-0.0134 0.0341,-0.0134 0.0142,0 0.026,-0.006 0.026,-0.0134 0,-0.008 0.009,-0.0134 0.02,-0.0134 0.0109,0 0.02,-0.006 0.02,-0.0124 0,-0.007 0.0133,-0.0166 0.0293,-0.0218 0.0162,-0.005 0.0376,-0.0176 0.0477,-0.0276 0.01,-0.01 0.0268,-0.0183 0.0374,-0.0183 0.0105,0 0.019,-0.005 0.019,-0.0118 0,-0.007 0.0105,-0.0154 0.0234,-0.0196 0.0227,-0.008 0.07,-0.0352 0.0834,-0.0486 0.003,-0.003 0.0352,-0.0201 0.0701,-0.0366 0.0348,-0.0164 0.0633,-0.036 0.0633,-0.0434 0,-0.008 0.015,-0.0135 0.0334,-0.0135 0.0183,0 0.0334,-0.006 0.0334,-0.0134 0,-0.008 0.009,-0.0134 0.0205,-0.0134 0.0112,0 0.0239,-0.009 0.0281,-0.02 0.005,-0.0111 0.0184,-0.02 0.0315,-0.02 0.0131,0 0.0269,-0.008 0.0306,-0.0178 0.003,-0.01 0.0419,-0.0348 0.0849,-0.0556 0.0428,-0.0208 0.081,-0.0413 0.0847,-0.0455 0.0113,-0.0132 0.0588,-0.0414 0.0834,-0.0497 0.0128,-0.005 0.0234,-0.0127 0.0234,-0.0186 0,-0.006 0.0185,-0.0148 0.041,-0.0197 0.0225,-0.005 0.0376,-0.0125 0.0335,-0.0165 -0.009,-0.009 0.0239,-0.0284 0.11572,-0.0707 0.0348,-0.0161 0.0633,-0.0345 0.0633,-0.0409 0,-0.007 0.0105,-0.0118 0.0234,-0.0118 0.0129,0 0.0397,-0.015 0.0595,-0.0334 0.0198,-0.0183 0.0445,-0.0334 0.055,-0.0334 0.0105,0 0.0264,-0.009 0.0356,-0.02 0.009,-0.011 0.0279,-0.02 0.0417,-0.02 0.0137,0 0.0251,-0.006 0.0251,-0.0134 0,-0.008 0.009,-0.0134 0.0186,-0.0134 0.0102,0 0.022,-0.009 0.0263,-0.02 0.005,-0.0109 0.0209,-0.02 0.037,-0.02 0.0161,0 0.0255,-0.003 0.0208,-0.009 -0.005,-0.005 0.0169,-0.021 0.0479,-0.0361 0.031,-0.0151 0.0643,-0.0354 0.0739,-0.0448 0.01,-0.009 0.0262,-0.0172 0.0368,-0.0172 0.0105,0 0.0191,-0.006 0.0191,-0.0131 0,-0.007 0.015,-0.0169 0.0334,-0.0215 0.0183,-0.005 0.0334,-0.0137 0.0334,-0.0203 0,-0.007 0.015,-0.0119 0.0334,-0.0119 0.0183,0 0.0334,-0.006 0.0334,-0.0134 0,-0.008 0.0241,-0.0238 0.0533,-0.0364 0.0293,-0.0128 0.0533,-0.0307 0.0533,-0.04 0,-0.009 0.015,-0.0169 0.0334,-0.0169 0.0183,0 0.0334,-0.006 0.0334,-0.0126 0,-0.0122 0.0222,-0.0264 0.12009,-0.0768 0.0257,-0.0132 0.0497,-0.027 0.0533,-0.0306 0.01,-0.01 0.0567,-0.0387 0.08,-0.0494 0.0111,-0.005 0.0279,-0.017 0.0377,-0.0267 0.01,-0.01 0.0262,-0.0175 0.0367,-0.0175 0.0105,0 0.0191,-0.005 0.0191,-0.0119 0,-0.007 0.015,-0.0157 0.0334,-0.0203 0.0183,-0.005 0.0334,-0.0143 0.0334,-0.0215 0,-0.007 0.012,-0.0131 0.0267,-0.0131 0.0147,0 0.0267,-0.005 0.0267,-0.0118 0,-0.007 0.0106,-0.0154 0.0234,-0.0199 0.0128,-0.005 0.0413,-0.0202 0.0633,-0.0351 0.022,-0.0148 0.0505,-0.0306 0.0633,-0.0351 0.0128,-0.005 0.0234,-0.0128 0.0234,-0.0186 0,-0.0167 0.0956,0.0171 0.10295,0.0364 0.003,0.009 0.0151,0.0173 0.0255,0.0173 0.0167,0 0.059,0.0222 0.14558,0.0765 0.0144,0.009 0.0547,0.0293 0.0896,0.045 0.0348,0.0157 0.0633,0.0339 0.0633,0.0403 0,0.007 0.012,0.0118 0.0267,0.0118 0.0147,0 0.0267,0.006 0.0267,0.0131 0,0.007 0.015,0.0169 0.0334,0.0215 0.0183,0.005 0.0334,0.0137 0.0334,0.0203 0,0.007 0.0122,0.0119 0.0271,0.0119 0.0149,0 0.0306,0.009 0.0348,0.02 0.005,0.0111 0.0221,0.02 0.0397,0.02 0.0176,0 0.0319,0.005 0.0319,0.0119 0,0.007 0.0105,0.0156 0.0234,0.0202 0.0313,0.0114 0.0845,0.0429 0.0876,0.052 0.003,0.0101 -0.0842,0.0685 -0.14652,0.0978 -0.0282,0.0132 -0.0584,0.0303 -0.0674,0.0378 -0.0345,0.0295 -0.0523,0.0406 -0.0711,0.0449 -0.0107,0.002 -0.0243,0.0129 -0.0302,0.0234 -0.006,0.0105 -0.0168,0.019 -0.0243,0.019 -0.008,0 -0.022,0.008 -0.0322,0.0167 -0.0335,0.0301 -0.053,0.0431 -0.10329,0.0688 -0.0273,0.014 -0.0497,0.0298 -0.0497,0.0352 0,0.005 -0.0105,0.0131 -0.0234,0.0176 -0.0267,0.009 -0.0672,0.0343 -0.0938,0.0587 -0.01,0.009 -0.0268,0.0167 -0.0373,0.0167 -0.0105,0 -0.019,0.006 -0.019,0.0134 0,0.008 -0.009,0.0134 -0.02,0.0134 -0.0111,0 -0.02,0.006 -0.02,0.0131 0,0.007 -0.015,0.0169 -0.0334,0.0215 -0.0183,0.005 -0.0334,0.013 -0.0334,0.0187 0,0.006 -0.0105,0.0139 -0.0234,0.0182 -0.0267,0.009 -0.0672,0.0343 -0.0938,0.0587 -0.01,0.009 -0.0268,0.0167 -0.0372,0.0167 -0.0105,0 -0.0191,0.006 -0.0191,0.0134 0,0.008 -0.009,0.0134 -0.02,0.0134 -0.0111,0 -0.02,0.009 -0.02,0.02 0,0.0109 -0.009,0.02 -0.0203,0.02 -0.0111,0 -0.0441,0.015 -0.0731,0.0334 -0.0291,0.0183 -0.0584,0.0334 -0.0653,0.0334 -0.007,0 -0.0144,0.005 -0.017,0.01 -0.008,0.0179 -0.13146,0.0967 -0.15162,0.0967 -0.0108,0 -0.0196,0.007 -0.0196,0.0152 0,0.0207 -0.0413,0.0506 -0.0706,0.0511 -0.0132,2.6e-4 -0.0565,0.0244 -0.0962,0.0538 -0.0397,0.0293 -0.0815,0.0533 -0.0928,0.0533 -0.0113,0 -0.0206,0.009 -0.0206,0.02 0,0.0111 -0.009,0.02 -0.02,0.02 -0.0111,0 -0.02,0.006 -0.02,0.0141 0,0.008 -0.006,0.0106 -0.0128,0.006 -0.007,-0.005 -0.0246,0.003 -0.039,0.0182 -0.0143,0.0143 -0.0284,0.0237 -0.0312,0.0208 -0.002,-0.002 -0.0248,0.0127 -0.0487,0.0345 -0.0239,0.0219 -0.0513,0.0397 -0.061,0.0397 -0.01,0 -0.025,0.009 -0.0342,0.02 -0.009,0.0111 -0.0249,0.02 -0.035,0.02 -0.0101,0 -0.0184,0.006 -0.0184,0.0134 0,0.008 -0.009,0.0134 -0.0205,0.0134 -0.0112,0 -0.0239,0.009 -0.0281,0.02 -0.005,0.0111 -0.019,0.02 -0.033,0.02 -0.0138,0 -0.0253,0.006 -0.0253,0.0134 0,0.008 -0.0114,0.0134 -0.0253,0.0134 -0.0139,0 -0.0286,0.009 -0.0329,0.02 -0.005,0.0111 -0.0199,0.02 -0.0348,0.02 -0.0153,0 -0.0271,0.009 -0.0271,0.02 0,0.011 -0.009,0.02 -0.02,0.02 -0.011,0 -0.02,0.005 -0.02,0.0102 0,0.0102 -0.0396,0.0343 -0.0834,0.0509 -0.0128,0.005 -0.0234,0.0141 -0.0234,0.0206 0,0.007 -0.009,0.0118 -0.0191,0.0118 -0.0105,0 -0.0272,0.008 -0.0373,0.0167 -0.0265,0.0243 -0.067,0.0497 -0.0938,0.0587 -0.0128,0.005 -0.0234,0.0124 -0.0234,0.018 0,0.006 -0.0105,0.0138 -0.0234,0.018 -0.0267,0.009 -0.0672,0.0343 -0.0938,0.0587 -0.01,0.009 -0.0268,0.0167 -0.0373,0.0167 -0.0105,0 -0.0191,0.006 -0.0191,0.0134 0,0.008 -0.009,0.0134 -0.02,0.0134 -0.0111,0 -0.02,0.005 -0.02,0.0119 0,0.007 -0.0155,0.0157 -0.0345,0.0206 -0.0325,0.009 -0.0463,0.0169 -0.0918,0.0576 -0.0102,0.009 -0.0243,0.0167 -0.0312,0.0167 -0.007,0 -0.0201,0.009 -0.0293,0.02 -0.0183,0.0219 -0.0657,0.0256 -0.0867,0.007 z m 2.92224,-0.36528 c -0.0147,-0.009 -0.0297,-0.0181 -0.0334,-0.0217 -0.0201,-0.0201 -0.0943,-0.0667 -0.10621,-0.0667 -0.008,0 -0.0138,-0.006 -0.0138,-0.0134 0,-0.008 -0.0114,-0.0134 -0.0253,-0.0134 -0.0139,0 -0.0286,-0.009 -0.0329,-0.02 -0.005,-0.0111 -0.0199,-0.02 -0.0348,-0.02 -0.0149,0 -0.0271,-0.005 -0.0271,-0.0118 0,-0.007 -0.0105,-0.0154 -0.0234,-0.0196 -0.0254,-0.009 -0.0727,-0.037 -0.0834,-0.0502 -0.003,-0.005 -0.0203,-0.0124 -0.0367,-0.0176 -0.0165,-0.005 -0.03,-0.015 -0.03,-0.0219 0,-0.007 -0.009,-0.0124 -0.02,-0.0124 -0.0111,0 -0.02,-0.006 -0.02,-0.0125 0,-0.007 -0.0135,-0.0167 -0.03,-0.0219 -0.0165,-0.005 -0.0331,-0.013 -0.0367,-0.0176 -0.0107,-0.0132 -0.0581,-0.0417 -0.0834,-0.0502 -0.0128,-0.005 -0.0234,-0.0131 -0.0234,-0.0196 0,-0.007 -0.009,-0.0118 -0.019,-0.0118 -0.0105,0 -0.0272,-0.008 -0.0372,-0.0167 -0.0265,-0.0243 -0.0671,-0.0497 -0.0938,-0.0587 -0.0128,-0.005 -0.0234,-0.0107 -0.0234,-0.0141 0,-0.0144 0.0617,-0.0564 0.0834,-0.0568 0.0128,-2.6e-4 0.0234,-0.007 0.0234,-0.0138 0,-0.008 0.009,-0.0134 0.019,-0.0134 0.0105,0 0.0208,-0.005 0.0234,-0.0106 0.002,-0.006 0.027,-0.0243 0.0545,-0.0411 0.0275,-0.0168 0.05,-0.0361 0.05,-0.0428 0,-0.007 0.0128,-0.0122 0.0285,-0.0122 0.0157,0 0.0413,-0.0139 0.0571,-0.0309 0.0157,-0.017 0.0494,-0.0425 0.075,-0.0567 0.0255,-0.0142 0.0493,-0.0293 0.053,-0.0335 0.003,-0.005 0.0157,-0.0119 0.0267,-0.0172 0.0521,-0.0249 0.0791,-0.045 0.071,-0.0531 -0.005,-0.005 7.6e-4,-0.009 0.0125,-0.009 0.0118,0 0.0294,-0.008 0.0395,-0.0167 0.0265,-0.0243 0.067,-0.0497 0.0938,-0.0587 0.0128,-0.005 0.0234,-0.0125 0.0234,-0.0182 0,-0.006 0.015,-0.0141 0.0334,-0.0187 0.0183,-0.005 0.0334,-0.0143 0.0334,-0.0215 0,-0.007 0.009,-0.0131 0.02,-0.0131 0.0109,0 0.02,-0.005 0.02,-0.0103 0,-0.006 0.0225,-0.0222 0.05,-0.0366 0.0276,-0.0144 0.0549,-0.0338 0.0607,-0.0431 0.006,-0.009 0.0193,-0.0168 0.03,-0.0168 0.0106,0 0.0193,-0.006 0.0193,-0.0134 0,-0.008 0.009,-0.0134 0.0204,-0.0134 0.0112,0 0.0239,-0.009 0.0281,-0.02 0.005,-0.0111 0.0221,-0.02 0.0396,-0.02 0.0176,0 0.0319,-0.005 0.0319,-0.0105 0,-0.0128 0.0828,-0.0636 0.0967,-0.0594 0.005,0.002 0.01,-0.002 0.01,-0.009 0,-0.007 0.018,-0.005 0.04,0.002 0.022,0.009 0.0401,0.0193 0.0401,0.0244 0,0.005 0.018,0.0134 0.04,0.0182 0.022,0.005 0.04,0.0143 0.04,0.0211 0,0.007 0.009,0.0122 0.0184,0.0122 0.0101,0 0.0258,0.009 0.035,0.02 0.009,0.0109 0.0279,0.02 0.0417,0.02 0.0137,0 0.025,0.006 0.025,0.0134 0,0.008 0.0152,0.0134 0.0339,0.0134 0.0186,0 0.0373,0.009 0.0414,0.02 0.005,0.0111 0.019,0.02 0.033,0.02 0.0139,0 0.0253,0.005 0.0253,0.0118 0,0.007 0.0105,0.0156 0.0234,0.0202 0.0316,0.0114 0.0823,0.0416 0.10054,0.0598 0.009,0.009 0.0257,0.0149 0.039,0.0149 0.0132,0 0.0241,0.006 0.0241,0.0134 0,0.008 0.0136,0.0134 0.0301,0.0134 0.0166,0 0.0463,0.015 0.0661,0.0334 0.0198,0.0183 0.0484,0.0334 0.0637,0.0334 0.0152,0 0.0312,0.009 0.0354,0.02 0.005,0.0111 0.019,0.02 0.0329,0.02 0.0485,0 0.0281,0.0473 -0.0338,0.0782 -0.0326,0.0162 -0.073,0.0442 -0.0901,0.0622 -0.017,0.018 -0.0371,0.0328 -0.0445,0.0328 -0.008,1.6e-4 -0.0296,0.0153 -0.0495,0.0335 -0.0198,0.0183 -0.0422,0.0334 -0.0499,0.0334 -0.008,0 -0.014,0.005 -0.014,0.0102 0,0.006 -0.0225,0.0222 -0.05,0.0367 -0.0275,0.0144 -0.058,0.0339 -0.0676,0.0431 -0.01,0.009 -0.0257,0.0167 -0.0357,0.0167 -0.01,0 -0.029,0.0138 -0.0424,0.0307 -0.0134,0.0169 -0.0333,0.0352 -0.0444,0.0406 -0.0484,0.0237 -0.0856,0.0484 -0.0733,0.0487 0.008,9e-5 -0.0121,0.0128 -0.0434,0.0283 -0.0312,0.0154 -0.0567,0.0335 -0.0567,0.04 0,0.007 -0.009,0.012 -0.02,0.012 -0.0111,0 -0.02,0.009 -0.02,0.02 0,0.0112 -0.0119,0.02 -0.0271,0.02 -0.0149,0 -0.0306,0.009 -0.0348,0.02 -0.005,0.0111 -0.016,0.02 -0.0263,0.02 -0.0102,0 -0.0186,0.005 -0.0186,0.0112 0,0.006 -0.0211,0.0225 -0.0468,0.0364 -0.0257,0.0137 -0.0468,0.0298 -0.0468,0.0354 0,0.006 -0.009,0.0103 -0.0186,0.0103 -0.0102,0 -0.022,0.009 -0.0263,0.02 -0.005,0.0111 -0.0192,0.02 -0.0334,0.02 -0.0141,0 -0.0293,0.009 -0.0336,0.0209 -0.005,0.0115 -0.0141,0.0171 -0.0214,0.0126 -0.008,-0.005 -0.0134,5.2e-4 -0.0134,0.0111 0,0.0106 -0.015,0.0232 -0.0334,0.0277 -0.0183,0.005 -0.0334,0.0143 -0.0334,0.0215 0,0.007 -0.009,0.0131 -0.0189,0.0131 -0.0105,0 -0.0209,0.005 -0.0234,0.0118 -0.002,0.007 -0.0164,0.005 -0.0312,-0.003 z"
+ id="path56252-8"
+ inkscape:connector-curvature="0" />
+ <path
+ style="fill:#afabab;fill-opacity:1;stroke:none;stroke-width:0.4313232;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:0.39215686"
+ d="m -35.94889,35.9093 h -5.30885 v -5.25781 z"
+ id="rect55701-5-4"
+ inkscape:connector-curvature="0"
+ sodipodi:nodetypes="cccc" />
+ <text
+ xml:space="preserve"
+ style="font-style:normal;font-variant:normal;font-weight:normal;font-stretch:normal;font-size:4.9705863px;line-height:1.25;font-family:monospace;-inkscape-font-specification:monospace;letter-spacing:0px;word-spacing:0px;fill:#afabab;fill-opacity:1;stroke:none;stroke-width:0.13810469"
+ x="-59.061882"
+ y="42.855503"
+ id="text55709-6-5"><tspan
+ sodipodi:role="line"
+ id="tspan55707-0-0"
+ x="-59.061882"
+ y="42.855503"
+ style="font-style:normal;font-variant:normal;font-weight:bold;font-stretch:normal;font-family:monospace;-inkscape-font-specification:monospace;fill:#afabab;fill-opacity:1;stroke-width:0.13810469">PARQUET</tspan></text>
+ <path
+ style="fill:#6995f4;fill-opacity:1;stroke:none;stroke-width:0.31363189;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m -60.81183,30.65149 h 19.55409 l -0.003,2.44581 h -19.55143 z"
+ id="rect55679-1-5-3"
+ inkscape:connector-curvature="0"
+ sodipodi:nodetypes="ccccc" />
+ </g>
+ </g>
+ <g
+ id="g13072-6"
+ transform="translate(0,-0.47244895)"
+ style="stroke-width:1.11137545">
+ <g
+ transform="matrix(0.7639736,0,0,0.7639736,141.24395,-103.38038)"
+ id="g5002-1"
+ style="stroke-width:1.11137545">
+ <path
+ style="fill:#adabab;fill-opacity:0.39215686;stroke:#ffffff;stroke-width:0.52249008;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m -296.22335,138.07636 h 25.82876 l 6.84864,6.7172 v 33.52589 h -32.6774 z"
+ id="rect55679-4-0-7-0"
+ inkscape:connector-curvature="0"
+ sodipodi:nodetypes="cccccc" />
+ <path
+ style="fill:#afabab;fill-opacity:1;stroke:none;stroke-width:0.56457865;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:0.39215686"
+ d="m -263.44559,144.95855 h -6.949 v -6.88219 z"
+ id="rect55701-3-7-7-6"
+ inkscape:connector-curvature="0"
+ sodipodi:nodetypes="cccc" />
+ <text
+ xml:space="preserve"
+ style="font-style:normal;font-variant:normal;font-weight:normal;font-stretch:normal;font-size:10.58333302px;line-height:1.25;font-family:monospace;-inkscape-font-specification:monospace;letter-spacing:0px;word-spacing:0px;fill:#afabab;fill-opacity:1;stroke:none;stroke-width:0.29405141"
+ x="-292.76242"
+ y="155.93517"
+ id="text55709-5-8-1-3"><tspan
+ sodipodi:role="line"
+ id="tspan55707-4-9-21-2"
+ x="-292.76242"
+ y="155.93517"
+ style="font-style:normal;font-variant:normal;font-weight:bold;font-stretch:normal;font-family:monospace;-inkscape-font-specification:monospace;fill:#afabab;fill-opacity:1;stroke-width:0.29405141">HTML</tspan></text>
+ <path
+ style="fill:#d45500;fill-opacity:1;stroke:none;stroke-width:0.41052711;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m -295.98983,138.07636 h 25.59524 l -0.004,3.20143 h -25.59176 z"
+ id="rect55679-1-7-9-0-0"
+ inkscape:connector-curvature="0"
+ sodipodi:nodetypes="ccccc" />
+ <text
+ id="text55879-4-6"
+ y="171.957"
+ x="-291.82764"
+ style="font-style:normal;font-weight:normal;font-size:14.25364685px;line-height:1.25;font-family:sans-serif;letter-spacing:0px;word-spacing:0px;fill:#d45500;fill-opacity:1;stroke:none;stroke-width:0.39602885"
+ xml:space="preserve"><tspan
+ style="fill:#d45500;fill-opacity:1;stroke-width:0.39602885"
+ y="171.957"
+ x="-291.82764"
+ id="tspan55877-8-1"
+ sodipodi:role="line"><></tspan></text>
+ </g>
+ <g
+ transform="matrix(0.7639736,0,0,0.7639736,132.71412,-103.38038)"
+ id="g4993-5"
+ style="stroke-width:1.11137545">
+ <path
+ style="fill:#adabab;fill-opacity:0.39215686;stroke:#ffffff;stroke-width:0.52249008;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m -247.76738,138.07636 h 25.82876 l 6.84864,6.7172 v 33.52589 h -32.6774 z"
+ id="rect55679-4-0-7-6-5"
+ inkscape:connector-curvature="0"
+ sodipodi:nodetypes="cccccc" />
+ <path
+ style="fill:#afabab;fill-opacity:1;stroke:none;stroke-width:0.56457865;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:0.39215686"
+ d="m -214.98962,144.95855 h -6.949 v -6.88219 z"
+ id="rect55701-3-7-7-7-4"
+ inkscape:connector-curvature="0"
+ sodipodi:nodetypes="cccc" />
+ <text
+ xml:space="preserve"
+ style="font-style:normal;font-variant:normal;font-weight:normal;font-stretch:normal;font-size:10.58333302px;line-height:1.25;font-family:monospace;-inkscape-font-specification:monospace;letter-spacing:0px;word-spacing:0px;fill:#afabab;fill-opacity:1;stroke:none;stroke-width:0.29405141"
+ x="-244.30646"
+ y="155.93517"
+ id="text55709-5-8-1-5-7"><tspan
+ sodipodi:role="line"
+ id="tspan55707-4-9-21-3-6"
+ x="-244.30646"
+ y="155.93517"
+ style="font-style:normal;font-variant:normal;font-weight:bold;font-stretch:normal;font-family:monospace;-inkscape-font-specification:monospace;fill:#afabab;fill-opacity:1;stroke-width:0.29405141">HDF5</tspan></text>
+ <path
+ style="fill:#2cab28;fill-opacity:1;stroke:none;stroke-width:0.41052711;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m -247.53386,138.07636 h 25.59524 l -0.004,3.20143 h -25.59176 z"
+ id="rect55679-1-7-9-0-5-5"
+ inkscape:connector-curvature="0"
+ sodipodi:nodetypes="ccccc" />
+ <path
+ style="fill:#2cab28;fill-opacity:1;stroke-width:0.01142396"
+ d="m -228.2809,172.80263 c -0.202,-0.0438 -0.37838,-0.14187 -0.50896,-0.28291 -0.0769,-0.083 -0.11316,-0.13774 -0.16538,-0.24931 -0.0851,-0.18181 -0.0809,-0.13496 -0.0871,-0.97682 l -0.006,-0.74885 -0.0888,0.10126 c -0.12247,0.13959 -0.41022,0.41948 -0.55874,0.54347 -0.84282,0.70368 -1.86652,1.17525 -3.06769,1.41315 -0.52549,0.10407 -1.00462,0.15148 -1.63022,0.16129 -0.53258,0.008 -0.64972,-0.005 -0.84254,-0.098 -0.26642,-0.12809 -0.46447,-0.38731 -0.51956,-0.68003 -0.0177,-0.094 -0.0151,-0.2674 0.005,-0.36491 0.076,-0.36089 0.3608,-0.6475 0.72486,-0.72956 0.065,-0.0147 0.1512,-0.0179 0.54992,-0.0205 0.47948,-0.004 0.60576,-0.009 0.95596,-0.0474 1.30447,-0.14149 2.34564,-0.6184 2.99398,-1.37141 0.39145,-0.45465 0.62298,-0.97115 0.70781,-1.579 0.0247,-0.17684 0.0247,-0.57128 -10e-5,-0.74923 -0.0492,-0.3547 -0.13728,-0.63945 -0.29551,-0.95596 -0.48894,-0.97817 -1.47794,-1.6518 -2.8511,-1.94196 -0.23021,-0.0487 -0.4358,-0.0806 -0.76323,-0.11859 l -0.0539,-0.006 v 2.13841 2.13841 h -2.71369 -2.71369 l -8e-5,1.75516 c -5e-5,1.16801 -0.004,1.77751 -0.0108,1.82197 -0.0153,0.0952 -0.0615,0.22303 -0.11373,0.31501 -0.0524,0.0922 -0.18048,0.23228 -0.27212,0.29768 -0.18509,0.13208 -0.43523,0.19653 -0.65358,0.1684 -0.27855,-0.0359 -0.52289,-0.18249 -0.67666,-0.40601 -0.0501,-0.0728 -0.11087,-0.20816 -0.13607,-0.30313 l -0.0231,-0.0874 v -4.48683 -4.48684 l 0.0237,-0.0867 c 0.0906,-0.33162 0.32687,-0.5747 0.65683,-0.67579 0.0816,-0.025 0.10651,-0.0278 0.25488,-0.0283 0.19819,-4.8e-4 0.25702,0.0121 0.42144,0.0916 0.27365,0.13243 0.46516,0.38659 0.51858,0.68819 0.007,0.041 0.0108,0.6273 0.0108,1.79114 v 1.73014 h 1.76777 1.76779 l 0.003,-1.76544 0.003,-1.76544 0.0236,-0.0822 c 0.0312,-0.10896 0.10123,-0.2515 0.16408,-0.33431 0.17162,-0.22611 0.44991,-0.37003 0.71444,-0.36946 0.0465,1e-4 2.81826,0.004 6.15949,0.008 l 6.07496,0.007 0.0722,0.0225 c 0.18274,0.057 0.31346,0.13732 0.43953,0.27005 0.14446,0.15211 0.23163,0.34134 0.25287,0.54896 0.0476,0.46593 -0.24024,0.88175 -0.70295,1.01524 l -0.0822,0.0237 -2.29996,0.003 -2.29995,0.003 v 1.2331 1.23311 l 1.66778,0.003 1.66779,0.003 0.0925,0.0288 c 0.17469,0.0546 0.32388,0.148 0.44081,0.27613 0.1602,0.17551 0.24276,0.39165 0.24276,0.63553 0,0.24752 -0.0819,0.46012 -0.24645,0.63968 -0.11647,0.12711 -0.26043,0.21641 -0.43936,0.27253 l -0.0903,0.0283 -1.66756,0.003 -1.66757,0.003 -0.003,1.80634 -0.003,1.80635 -0.0288,0.0925 c -0.11257,0.36055 -0.37513,0.60464 -0.72877,0.67751 -0.0965,0.0199 -0.27614,0.0201 -0.36676,4.9e-4 z"
+ id="path4972-6"
+ inkscape:connector-curvature="0" />
+ </g>
+ <g
+ transform="matrix(0.7639736,0,0,0.7639736,389.89266,-103.38038)"
+ id="g57106-9"
+ style="stroke-width:1.11137545">
+ <g
+ id="g56951-3"
+ style="stroke-width:1.11137545">
+ <path
+ sodipodi:nodetypes="cccccc"
+ inkscape:connector-curvature="0"
+ id="rect55679-4-7"
+ d="m -547.10925,138.07636 h 25.82876 l 6.84864,6.7172 v 33.52589 h -32.6774 z"
+ style="fill:#adabab;fill-opacity:0.39215686;stroke:#ffffff;stroke-width:0.52249008;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1" />
+ <path
+ sodipodi:nodetypes="cccc"
+ inkscape:connector-curvature="0"
+ id="rect55701-3-4"
+ d="m -514.33149,144.95855 h -6.949 v -6.88219 z"
+ style="fill:#afabab;fill-opacity:1;stroke:none;stroke-width:0.56457865;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:0.39215686" />
+ <text
+ id="text55709-5-5"
+ y="155.93515"
+ x="-543.47522"
+ style="font-style:normal;font-variant:normal;font-weight:normal;font-stretch:normal;font-size:10.58333302px;line-height:1.25;font-family:monospace;-inkscape-font-specification:monospace;letter-spacing:0px;word-spacing:0px;fill:#afabab;fill-opacity:1;stroke:none;stroke-width:0.29405141"
+ xml:space="preserve"><tspan
+ style="font-style:normal;font-variant:normal;font-weight:bold;font-stretch:normal;font-family:monospace;-inkscape-font-specification:monospace;fill:#afabab;fill-opacity:1;stroke-width:0.29405141"
+ y="155.93515"
+ x="-543.47522"
+ id="tspan55707-4-2"
+ sodipodi:role="line">JSON</tspan></text>
+ <path
+ sodipodi:nodetypes="ccccc"
+ inkscape:connector-curvature="0"
+ id="rect55679-1-7-5"
+ d="m -546.87573,138.07636 h 25.59524 l -0.004,3.20143 h -25.59176 z"
+ style="fill:#7c4515;fill-opacity:1;stroke:none;stroke-width:0.41052711;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1" />
+ <text
+ xml:space="preserve"
+ style="font-style:normal;font-weight:normal;font-size:14.25364685px;line-height:1.25;font-family:sans-serif;letter-spacing:0px;word-spacing:0px;fill:#7c4515;fill-opacity:1;stroke:none;stroke-width:0.39602885"
+ x="-539.08789"
+ y="171.74121"
+ id="text55879-47"><tspan
+ sodipodi:role="line"
+ id="tspan55877-4"
+ x="-539.08789"
+ y="171.74121"
+ style="fill:#7c4515;fill-opacity:1;stroke-width:0.39602885">{}</tspan></text>
+ </g>
+ </g>
+ </g>
+ <g
+ id="g13116-4"
+ transform="translate(0,-4.3467227)"
+ style="stroke-width:1.11137545">
+ <g
+ transform="matrix(0.7639736,0,0,0.7639736,209.56487,-64.753609)"
+ id="g56797-3"
+ style="stroke-width:1.11137545">
+ <path
+ style="fill:#adabab;fill-opacity:0.39215686;stroke:#ffffff;stroke-width:0.52249008;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m -385.65173,138.07636 h 25.82876 l 6.84864,6.7172 v 33.52589 h -32.6774 z"
+ id="rect55679-5-3-4-0"
+ inkscape:connector-curvature="0"
+ sodipodi:nodetypes="cccccc" />
+ <g
+ id="g56653-7"
+ transform="matrix(0.12939252,0,0,0.12939252,-377.59411,159.20773)"
+ style="stroke-width:1.11137545">
+ <g
+ style="display:none;stroke-width:1.11137545"
+ id="Placement_ONLY-8" />
+ <g
+ id="BASE-6"
+ style="stroke-width:1.11137545">
+ <linearGradient
+ y2="120.7894"
+ x2="63.999699"
+ y1="7.0335999"
+ x1="63.999699"
+ gradientUnits="userSpaceOnUse"
+ id="linearGradient13523">
+ <stop
+ id="stop11214-8"
+ style="stop-color:#4387FD"
+ offset="0" />
+ <stop
+ id="stop11216-8"
+ style="stop-color:#4683EA"
+ offset="1" />
+ </linearGradient>
+ <path
+ id="path56591-4"
+ d="M 27.7906,115.2166 1.54,69.7493 c -2.0541,-3.5578 -2.0541,-7.9412 0,-11.499 L 27.7906,12.7831 c 2.0541,-3.5578 5.8503,-5.7495 9.9585,-5.7495 h 52.5012 c 4.1082,0 7.9044,2.1917 9.9585,5.7495 l 26.2506,45.4672 c 2.0541,3.5578 2.0541,7.9412 0,11.499 l -26.2506,45.4672 c -2.0541,3.5578 -5.8503,5.7495 -9.9585,5.7495 H 37.7491 c -4.1082,1e-4 -7.9043,-2.1916 -9.9585,-5.7494 z"
+ style="fill:url(#SVGID_1_-2);stroke-width:1.11137545"
+ inkscape:connector-curvature="0" />
+ </g>
+ <g
+ id="shadow-3"
+ style="stroke-width:1.11137545">
+ <g
+ id="g56602-1"
+ style="stroke-width:1.11137545">
+ <defs
+ id="defs56595-4">
+ <path
+ d="M 27.7908,115.2166 1.5403,69.7493 c -2.0541,-3.5578 -2.0541,-7.9412 0,-11.499 L 27.7908,12.7831 C 29.8449,9.2253 33.641,7.0336 37.7493,7.0336 h 52.501 c 4.1082,0 7.9044,2.1917 9.9585,5.7495 l 26.2505,45.4672 c 2.0541,3.5578 2.0541,7.9412 0,11.499 l -26.2505,45.4672 c -2.0541,3.5578 -5.8502,5.7495 -9.9585,5.7495 h -52.501 c -4.1083,1e-4 -7.9044,-2.1916 -9.9585,-5.7494 z"
+ id="path13527"
+ inkscape:connector-curvature="0" />
+ </defs>
+ <clipPath
+ id="clipPath11226-2">
+ <use
+ id="use11224-0"
+ style="overflow:visible"
+ xlink:href="#SVGID_6_"
+ x="0"
+ y="0"
+ width="100%"
+ height="100%" />
+ </clipPath>
+ <polygon
+ id="polygon56600-6"
+ clip-path="url(#SVGID_2_-9)"
+ points="88.8747,121.6665 97.5622,121.2811 119.2289,86.4791 80.6247,47.8749 63.9997,43.4256 49.0668,48.9745 43.3004,63.9999 47.9372,80.729 "
+ style="opacity:0.07000002;stroke-width:1.11137545" />
+ </g>
+ </g>
+ <g
+ id="art-8"
+ style="stroke-width:1.11137545">
+ <g
+ id="g56617-9"
+ style="stroke-width:1.11137545">
+ <g
+ id="g56615-2"
+ style="stroke-width:1.11137545">
+ <path
+ id="path56605-6"
+ d="m 63.9997,40.804 c -12.8097,0 -23.1947,10.3849 -23.1947,23.1959 0,12.8097 10.385,23.1947 23.1947,23.1947 12.8097,0 23.1947,-10.385 23.1947,-23.1947 C 87.1945,51.1889 76.8095,40.804 63.9997,40.804 m 0,40.7948 c -9.72,0 -17.599,-7.879 -17.599,-17.599 0,-9.72 7.879,-17.6007 17.599,-17.6007 9.72,0 17.6001,7.8807 17.6001,17.6007 0,9.72 -7.8801,17.599 -17.6001,17.599"
+ style="fill:#ffffff;stroke-width:1.11137545"
+ inkscape:connector-curvature="0" />
+ <path
+ id="path56607-6"
+ d="m 52.9898,63.1041 v 7.2091 c 1.0659,1.8326 2.5751,3.3702 4.381,4.4754 V 63.1041 Z"
+ style="fill:#ffffff;stroke-width:1.11137545"
+ inkscape:connector-curvature="0" />
+ <path
+ id="path56609-4"
+ d="m 61.6754,57.0263 v 19.4109 c 0.7448,0.1363 1.5067,0.2199 2.2892,0.2199 0.7145,0 1.4098,-0.0752 2.093,-0.189 V 57.0263 Z"
+ style="fill:#ffffff;stroke-width:1.11137545"
+ inkscape:connector-curvature="0" />
+ <path
+ id="path56611-9"
+ d="m 70.7656,66.1008 v 8.5614 c 1.8325,-1.1695 3.3478,-2.7822 4.3822,-4.7002 v -3.8612 z"
+ style="fill:#ffffff;stroke-width:1.11137545"
+ inkscape:connector-curvature="0" />
+ <path
+ id="path56613-5"
+ d="m 80.6914,78.2867 -2.403,2.4049 c -0.4239,0.4227 -0.4239,1.1132 0,1.5371 l 9.1143,9.112 c 0.4227,0.4238 1.1144,0.4238 1.5371,0 l 2.403,-2.4013 c 0.4214,-0.4227 0.4214,-1.1143 0,-1.5365 l -9.1156,-9.1162 c -0.4215,-0.4221 -1.1143,-0.4221 -1.5358,0"
+ style="fill:#ffffff;stroke-width:1.11137545"
+ inkscape:connector-curvature="0" />
+ </g>
+ </g>
+ </g>
+ <g
+ id="Guides-0"
+ style="stroke-width:1.11137545" />
+ </g>
+ <path
+ style="fill:#afabab;fill-opacity:1;stroke:none;stroke-width:0.56457865;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:0.39215686"
+ d="m -352.87397,144.95855 h -6.949 v -6.88219 z"
+ id="rect55701-5-6-9-4"
+ inkscape:connector-curvature="0"
+ sodipodi:nodetypes="cccc" />
+ <path
+ style="fill:#4486f6;fill-opacity:1;stroke:none;stroke-width:0.41052711;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m -385.41821,138.07636 h 25.59524 l -0.004,3.20143 h -25.59176 z"
+ id="rect55679-1-5-6-6-8"
+ inkscape:connector-curvature="0"
+ sodipodi:nodetypes="ccccc" />
+ <text
+ xml:space="preserve"
+ style="font-style:normal;font-variant:normal;font-weight:normal;font-stretch:normal;font-size:10.58333302px;line-height:1.25;font-family:monospace;-inkscape-font-specification:monospace;letter-spacing:0px;word-spacing:0px;fill:#afabab;fill-opacity:1;stroke:none;stroke-width:0.29405141"
+ x="-379.1109"
+ y="155.33165"
+ id="text55709-5-8-0-4-7"><tspan
+ sodipodi:role="line"
+ id="tspan55707-4-9-2-6-1"
+ x="-379.1109"
+ y="155.33165"
+ style="font-style:normal;font-variant:normal;font-weight:bold;font-stretch:normal;font-family:monospace;-inkscape-font-specification:monospace;fill:#afabab;fill-opacity:1;stroke-width:0.29405141">GBQ</tspan></text>
+ </g>
+ <g
+ transform="matrix(0.7639736,0,0,0.7639736,270.63242,-64.753609)"
+ id="g56805-7"
+ style="stroke-width:1.11137545">
+ <path
+ style="fill:#adabab;fill-opacity:0.39215686;stroke:#ffffff;stroke-width:0.52249008;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m -428.29495,138.07636 h 25.82876 l 6.84864,6.7172 v 33.52589 h -32.6774 z"
+ id="rect55679-5-3-2"
+ inkscape:connector-curvature="0"
+ sodipodi:nodetypes="cccccc" />
+ <path
+ style="fill:#afabab;fill-opacity:1;stroke:none;stroke-width:0.56457865;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:0.39215686"
+ d="m -395.51719,144.95855 h -6.949 v -6.88219 z"
+ id="rect55701-5-6-72"
+ inkscape:connector-curvature="0"
+ sodipodi:nodetypes="cccc" />
+ <path
+ style="fill:#d22b28;fill-opacity:1;stroke:none;stroke-width:0.41052711;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m -428.06143,138.07636 h 25.59524 l -0.004,3.20143 h -25.59176 z"
+ id="rect55679-1-5-6-2"
+ inkscape:connector-curvature="0"
+ sodipodi:nodetypes="ccccc" />
+ <path
+ style="fill:#d22b28;fill-opacity:1;stroke-width:0.03987985"
+ d="m -412.94012,174.83899 c -2.39286,-0.17337 -4.25462,-0.92363 -4.80603,-1.93675 -0.20796,-0.38207 -0.1997,-0.15791 -0.1997,-5.4163 0,-5.2584 -0.008,-5.03422 0.1997,-5.41631 0.52229,-0.95963 2.12948,-1.65202 4.42926,-1.90817 0.59425,-0.0661 2.22107,-0.055 2.85272,0.0195 2.42842,0.28682 3.99755,1.04433 4.40698,2.12751 l 0.0784,0.20754 0.01,4.80836 c 0.007,3.25426 -0.003,4.88804 -0.0279,5.05486 -0.18694,1.21275 -1.86095,2.11808 -4.44966,2.40645 -0.62283,0.0695 -1.89574,0.0965 -2.49389,0.0532 z m 2.42212,-1.10913 c 1.01274,-0.12241 1.89648,-0.35364 2.52978,-0.66193 0.45831,-0.2231 0.73601,-0.43117 0.86172,-0.64568 0.0872,-0.14886 0.0893,-0.16846 0.0893,-0.89661 0,-0.40943 -0.0124,-0.73888 -0.0269,-0.73213 -0.0149,0.007 -0.16397,0.0828 -0.33145,0.16913 -1.54197,0.7942 -4.13331,1.10309 -6.47743,0.7721 -1.10764,-0.1564 -2.14234,-0.47058 -2.79149,-0.84762 -0.0946,-0.055 -0.1794,-0.0999 -0.18839,-0.0999 -0.01,0 -0.0164,0.34474 -0.0164,0.7661 v 0.76611 l 0.10825,0.14942 c 0.2826,0.39014 1.05764,0.77963 2.03963,1.02501 0.50715,0.12668 0.98591,0.20062 1.85311,0.28599 0.27949,0.0275 2.0144,-0.01 2.35036,-0.0499 z m -0.0897,-2.99878 c 1.48756,-0.16113 2.68968,-0.55239 3.26059,-1.06123 0.30547,-0.27227 0.30981,-0.28973 0.30981,-1.2474 0,-0.45588 -0.007,-0.82886 -0.0139,-0.82886 -0.008,0 -0.14893,0.0711 -0.31398,0.15803 -1.28011,0.67416 -3.50461,1.02839 -5.53905,0.88204 -1.40344,-0.10096 -2.61466,-0.38428 -3.49862,-0.81837 -0.22696,-0.11141 -0.42477,-0.20828 -0.43957,-0.21517 -0.0147,-0.007 -0.027,0.36911 -0.027,0.83552 0,0.96882 -0.004,0.94996 0.30074,1.22903 0.49729,0.45451 1.6456,0.85736 2.94812,1.03429 0.84879,0.11526 2.11973,0.12888 3.01279,0.0321 z m -0.25117,-3.17465 c 1.79501,-0.15181 3.38835,-0.72508 3.73976,-1.34554 0.0773,-0.13644 0.0806,-0.17795 0.0813,-0.99242 l 4.3e-4,-0.85007 -0.29605,0.15736 c -0.83154,0.442 -2.06898,0.76261 -3.39994,0.88088 -0.64577,0.0574 -2.00104,0.048 -2.62283,-0.0182 -1.30016,-0.13837 -2.35469,-0.41553 -3.14541,-0.82671 l -0.36781,-0.19125 v 0.87316 0.87316 l 0.11828,0.155 c 0.46867,0.61447 1.93789,1.13255 3.63158,1.28057 0.51111,0.0447 1.75415,0.0469 2.26066,0.004 z m -0.19736,-3.19261 c 1.57372,-0.11691 2.89719,-0.48754 3.5985,-1.00787 0.23246,-0.17245 0.42043,-0.42724 0.42043,-0.56986 0,-0.14316 -0.18674,-0.40773 -0.40076,-0.5678 -0.59209,-0.44282 -1.65343,-0.78705 -2.97228,-0.96401 -0.61144,-0.0821 -2.35152,-0.0922 -2.96037,-0.0173 -1.07536,0.13231 -1.92804,0.35436 -2.5836,0.67278 -0.55306,0.26864 -0.91503,0.60618 -0.91503,0.85329 0,0.28182 0.3789,0.63844 0.97521,0.91787 1.15871,0.543 3.07651,0.81371 4.8379,0.6829 z"
+ id="path56342-6"
+ inkscape:connector-curvature="0"
+ sodipodi:nodetypes="ccscccccscccccccsccscssccccccccssccccsccccccccccccccccsccccsscccsscc" />
+ <text
+ xml:space="preserve"
+ style="font-style:normal;font-variant:normal;font-weight:normal;font-stretch:normal;font-size:10.58333302px;line-height:1.25;font-family:monospace;-inkscape-font-specification:monospace;letter-spacing:0px;word-spacing:0px;fill:#afabab;fill-opacity:1;stroke:none;stroke-width:0.29405141"
+ x="-421.75409"
+ y="155.33165"
+ id="text55709-5-8-0-1"><tspan
+ sodipodi:role="line"
+ id="tspan55707-4-9-2-0"
+ x="-421.75409"
+ y="155.33165"
+ style="font-style:normal;font-variant:normal;font-weight:bold;font-stretch:normal;font-family:monospace;-inkscape-font-specification:monospace;fill:#afabab;fill-opacity:1;stroke-width:0.29405141">SQL</tspan></text>
+ </g>
+ <g
+ transform="translate(-4.7030536,-0.28414145)"
+ id="g12598-6"
+ style="stroke-width:1.11137545">
+ <path
+ style="fill:#adabab;fill-opacity:0.39215686;stroke:#ffffff;stroke-width:0.39916864;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="M -23.381309,41.017226 H -3.6488181 L 1.5833621,46.14899 V 71.761885 H -23.381309 Z"
+ id="rect55679-5-3-6-1"
+ inkscape:connector-curvature="0"
+ sodipodi:nodetypes="cccccc" />
+ <path
+ style="fill:#afabab;fill-opacity:1;stroke:none;stroke-width:0.4313232;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:0.39215686"
+ d="M 1.6600345,46.275038 H -3.6488181 V 41.017226 Z"
+ id="rect55701-5-6-7-5"
+ inkscape:connector-curvature="0"
+ sodipodi:nodetypes="cccc" />
+ <path
+ style="fill:#333333;fill-opacity:1;stroke:none;stroke-width:0.31363189;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m -23.202906,41.017226 h 19.5540879 l -0.00306,2.445808 H -23.203307 Z"
+ id="rect55679-1-5-6-5-9"
+ inkscape:connector-curvature="0"
+ sodipodi:nodetypes="ccccc" />
+ <text
+ xml:space="preserve"
+ style="font-style:normal;font-variant:normal;font-weight:normal;font-stretch:normal;font-size:8.08538723px;line-height:1.25;font-family:monospace;-inkscape-font-specification:monospace;letter-spacing:0px;word-spacing:0px;fill:#333333;fill-opacity:1;stroke:none;stroke-width:0.22464751"
+ x="-18.192799"
+ y="60.704777"
+ id="text55709-5-8-0-5-9-4"><tspan
+ sodipodi:role="line"
+ id="tspan55707-4-9-2-62-1-9"
+ x="-18.192799"
+ y="60.704777"
+ style="font-style:normal;font-variant:normal;font-weight:bold;font-stretch:normal;font-family:monospace;-inkscape-font-specification:monospace;fill:#333333;fill-opacity:1;stroke-width:0.22464751">...</tspan></text>
+ </g>
+ </g>
+ </g>
+ <path
+ sodipodi:nodetypes="cc"
+ inkscape:connector-curvature="0"
+ id="path6109"
+ d="M 24.80494,44.790275 H 51.474804"
+ style="fill:none;stroke:#000000;stroke-width:0.44455019;stroke-linecap:butt;stroke-linejoin:miter;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1;marker-end:url(#Arrow2Lend)" />
+ <g
+ transform="matrix(0.78210044,0,0,0.78210044,21.652355,31.482679)"
+ id="g13221"
+ style="stroke-width:1.11137545">
+ <g
+ id="g13046"
+ transform="translate(0,3.4017917)"
+ style="stroke-width:1.11137545">
+ <g
+ transform="matrix(0.76397361,0,0,0.76397361,301.89818,-142.00712)"
+ id="g57096-9"
+ style="stroke-width:1.11137545">
+ <path
+ style="fill:#adabab;fill-opacity:0.39215686;stroke:#ffffff;stroke-width:0.52249008;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m -506.51101,138.07636 h 25.82876 l 6.84864,6.7172 v 33.52589 h -32.6774 z"
+ id="rect55679-4-0-1"
+ inkscape:connector-curvature="0"
+ sodipodi:nodetypes="cccccc" />
+ <path
+ style="fill:#afabab;fill-opacity:1;stroke:none;stroke-width:0.56457865;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:0.39215686"
+ d="m -473.73325,144.95855 h -6.949 v -6.88219 z"
+ id="rect55701-3-7-2"
+ inkscape:connector-curvature="0"
+ sodipodi:nodetypes="cccc" />
+ <text
+ xml:space="preserve"
+ style="font-style:normal;font-variant:normal;font-weight:normal;font-stretch:normal;font-size:10.58333302px;line-height:1.25;font-family:monospace;-inkscape-font-specification:monospace;letter-spacing:0px;word-spacing:0px;fill:#afabab;fill-opacity:1;stroke:none;stroke-width:0.29405141"
+ x="-499.97018"
+ y="155.93517"
+ id="text55709-5-8-7"><tspan
+ sodipodi:role="line"
+ id="tspan55707-4-9-0"
+ x="-499.97018"
+ y="155.93517"
+ style="font-style:normal;font-variant:normal;font-weight:bold;font-stretch:normal;font-family:monospace;-inkscape-font-specification:monospace;fill:#afabab;fill-opacity:1;stroke-width:0.29405141">CSV</tspan></text>
+ <path
+ style="fill:#755075;fill-opacity:1;stroke:none;stroke-width:0.41052711;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m -506.27749,138.07636 h 25.59524 l -0.004,3.20143 h -25.59176 z"
+ id="rect55679-1-7-9-9"
+ inkscape:connector-curvature="0"
+ sodipodi:nodetypes="ccccc" />
+ <g
+ transform="translate(-681.73064,244.47732)"
+ id="g56212-3"
+ style="stroke-width:1.11137545">
+ <rect
+ y="-83.565544"
+ x="179.92134"
+ width="23.273981"
+ style="display:inline;overflow:visible;visibility:visible;opacity:1;fill:#afabab;fill-opacity:1;fill-rule:evenodd;stroke:none;stroke-width:0.37059268;stroke-opacity:1;marker:none"
+ id="rect2277-8-3-4-60"
+ height="2.2165694" />
+ <rect
+ y="-79.919731"
+ x="179.92134"
+ width="23.273981"
+ style="display:inline;overflow:visible;visibility:visible;opacity:1;fill:#afabab;fill-opacity:1;fill-rule:evenodd;stroke:none;stroke-width:0.37059268;stroke-opacity:1;marker:none"
+ id="rect2277-8-3-4-6-6"
+ height="2.2165694" />
+ <rect
+ y="-76.273918"
+ x="179.92134"
+ width="23.273981"
+ style="display:inline;overflow:visible;visibility:visible;opacity:1;fill:#afabab;fill-opacity:1;fill-rule:evenodd;stroke:none;stroke-width:0.37059268;stroke-opacity:1;marker:none"
+ id="rect2277-8-3-4-4-2"
+ height="2.2165694" />
+ <rect
+ y="-72.628105"
+ x="179.92134"
+ width="23.273981"
+ style="display:inline;overflow:visible;visibility:visible;opacity:1;fill:#afabab;fill-opacity:1;fill-rule:evenodd;stroke:none;stroke-width:0.37059268;stroke-opacity:1;marker:none"
+ id="rect2277-8-3-4-5-6"
+ height="2.2165694" />
+ </g>
+ </g>
+ <g
+ transform="matrix(0.76397361,0,0,0.76397361,389.69361,-142.00712)"
+ id="g57123"
+ style="stroke-width:1.11137545">
+ <g
+ id="g56942"
+ style="stroke-width:1.11137545">
+ <path
+ sodipodi:nodetypes="cccccc"
+ inkscape:connector-curvature="0"
+ id="rect55679"
+ d="m -584.13959,138.07636 h 25.82876 l 6.84864,6.7172 v 33.52589 h -32.6774 z"
+ style="fill:#adabab;fill-opacity:0.39215686;stroke:#ffffff;stroke-width:0.52249008;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1" />
+ <path
+ sodipodi:nodetypes="cccc"
+ inkscape:connector-curvature="0"
+ id="rect55701"
+ d="m -551.36183,144.95855 h -6.949 v -6.88219 z"
+ style="fill:#afabab;fill-opacity:1;stroke:none;stroke-width:0.56457865;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:0.39215686" />
+ <text
+ id="text55709"
+ y="155.93515"
+ x="-577.10522"
+ style="font-style:normal;font-variant:normal;font-weight:normal;font-stretch:normal;font-size:10.58333302px;line-height:1.25;font-family:monospace;-inkscape-font-specification:monospace;letter-spacing:0px;word-spacing:0px;fill:#afabab;fill-opacity:1;stroke:none;stroke-width:0.29405141"
+ xml:space="preserve"><tspan
+ style="font-style:normal;font-variant:normal;font-weight:bold;font-stretch:normal;font-family:monospace;-inkscape-font-specification:monospace;fill:#afabab;fill-opacity:1;stroke-width:0.29405141"
+ y="155.93515"
+ x="-577.10522"
+ id="tspan55707"
+ sodipodi:role="line">XLS</tspan></text>
+ <g
+ id="g4140"
+ transform="matrix(0.15295911,0,0,0.15295911,-574.53339,160.91154)"
+ style="stroke-width:1.11137545">
+ <path
+ d="m 46.04,0 h 5.94 c 0,2.67 0,5.33 0,8 10.01,0 20.02,0.02 30.03,-0.03 1.69,0.07 3.55,-0.05 5.02,0.96 1.03,1.48 0.91,3.36 0.98,5.06 -0.05,17.36 -0.03,34.71 -0.02,52.06 -0.05,2.91 0.27,5.88 -0.34,8.75 -0.4,2.08 -2.9,2.13 -4.57,2.2 -10.36,0.03 -20.73,-0.02 -31.1,0 0,3 0,6 0,9 H 45.77 C 30.53,83.23 15.26,80.67 0,78 0,54.67 0,31.34 0,8.01 15.35,5.34 30.7,2.71 46.04,0 Z"
+ id="path10-9"
+ inkscape:connector-curvature="0"
+ style="fill:#207245;stroke-width:1.11137545" />
+ <path
+ d="m 51.98,11 c 11,0 22,0 33,0 0,21 0,42 0,63 -11,0 -22,0 -33,0 0,-2 0,-4 0,-6 2.67,0 5.33,0 8,0 0,-2.33 0,-4.67 0,-7 -2.67,0 -5.33,0 -8,0 0,-1.33 0,-2.67 0,-4 2.67,0 5.33,0 8,0 0,-2.33 0,-4.67 0,-7 -2.67,0 -5.33,0 -8,0 0,-1.33 0,-2.67 0,-4 2.67,0 5.33,0 8,0 0,-2.33 0,-4.67 0,-7 -2.67,0 -5.33,0 -8,0 0,-1.33 0,-2.67 0,-4 2.67,0 5.33,0 8,0 0,-2.33 0,-4.67 0,-7 -2.67,0 -5.33,0 -8,0 0,-1.33 0,-2.67 0,-4 2.67,0 5.33,0 8,0 0,-2.33 0,-4.67 0,-7 -2.67,0 -5.33,0 -8,0 0,-2 0,-4 0,-6 z"
+ id="path48-1"
+ inkscape:connector-curvature="0"
+ style="fill:#ffffff;stroke-width:1.11137545" />
+ <path
+ d="m 63.98,17 c 4.67,0 9.33,0 14,0 0,2.33 0,4.67 0,7 -4.67,0 -9.33,0 -14,0 0,-2.33 0,-4.67 0,-7 z"
+ id="path58-2"
+ inkscape:connector-curvature="0"
+ style="fill:#207245;stroke-width:1.11137545" />
+ <path
+ d="m 29.62,26.37 c 2.26,-0.16 4.53,-0.3 6.8,-0.41 -2.67,5.47 -5.35,10.94 -8.07,16.39 2.75,5.6 5.56,11.16 8.32,16.76 -2.41,-0.14 -4.81,-0.29 -7.22,-0.46 -1.7,-4.17 -3.77,-8.2 -4.99,-12.56 -1.36,4.06 -3.3,7.89 -4.86,11.87 -2.19,-0.03 -4.38,-0.12 -6.57,-0.21 2.57,-5.03 5.05,-10.1 7.7,-15.1 -2.25,-5.15 -4.72,-10.2 -7.04,-15.32 2.2,-0.13 4.4,-0.26 6.6,-0.38 1.49,3.91 3.12,7.77 4.35,11.78 1.32,-4.25 3.29,-8.25 4.98,-12.36 z"
+ id="path72-7"
+ inkscape:connector-curvature="0"
+ style="fill:#ffffff;stroke-width:1.11137545" />
+ <path
+ d="m 63.98,28 c 4.67,0 9.33,0 14,0 0,2.33 0,4.67 0,7 -4.67,0 -9.33,0 -14,0 0,-2.33 0,-4.67 0,-7 z"
+ id="path90"
+ inkscape:connector-curvature="0"
+ style="fill:#207245;stroke-width:1.11137545" />
+ <path
+ d="m 63.98,39 c 4.67,0 9.33,0 14,0 0,2.33 0,4.67 0,7 -4.67,0 -9.33,0 -14,0 0,-2.33 0,-4.67 0,-7 z"
+ id="path108"
+ inkscape:connector-curvature="0"
+ style="fill:#207245;stroke-width:1.11137545" />
+ <path
+ d="m 63.98,50 c 4.67,0 9.33,0 14,0 0,2.33 0,4.67 0,7 -4.67,0 -9.33,0 -14,0 0,-2.33 0,-4.67 0,-7 z"
+ id="path114"
+ inkscape:connector-curvature="0"
+ style="fill:#207245;stroke-width:1.11137545" />
+ <path
+ d="m 63.98,61 c 4.67,0 9.33,0 14,0 0,2.33 0,4.67 0,7 -4.67,0 -9.33,0 -14,0 0,-2.33 0,-4.67 0,-7 z"
+ id="path120"
+ inkscape:connector-curvature="0"
+ style="fill:#207245;stroke-width:1.11137545" />
+ </g>
+ <path
+ sodipodi:nodetypes="ccccc"
+ inkscape:connector-curvature="0"
+ id="rect55679-1"
+ d="m -583.90607,138.07636 h 25.59524 l -0.004,3.20143 h -25.59176 z"
+ style="fill:#207245;fill-opacity:1;stroke:none;stroke-width:0.41052711;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1" />
+ </g>
+ </g>
+ <g
+ transform="translate(32.905868,-67.171919)"
+ id="g12301"
+ style="stroke-width:1.11137545">
+ <path
+ style="fill:#adabab;fill-opacity:0.39215686;stroke:#ffffff;stroke-width:0.39916864;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m -60.99023,30.65149 h 19.73249 l 5.23218,5.13176 v 25.6129 h -24.96467 z"
+ id="rect55679-5"
+ inkscape:connector-curvature="0"
+ sodipodi:nodetypes="cccccc" />
+ <path
+ style="fill:#6995f4;fill-opacity:1;stroke-width:0.01482968"
+ d="m -48.45626,58.61909 c -0.0716,-0.0731 -0.1361,-0.133 -0.14344,-0.133 -0.008,0 -0.0134,-0.009 -0.0134,-0.02 0,-0.0109 -0.009,-0.02 -0.02,-0.02 -0.011,0 -0.02,-0.009 -0.02,-0.02 0,-0.0109 -0.009,-0.02 -0.02,-0.02 -0.0109,0 -0.02,-0.009 -0.02,-0.02 0,-0.0109 -0.006,-0.02 -0.0134,-0.02 -0.008,0 -0.0134,-0.006 -0.0134,-0.0134 0,-0.008 -0.0331,-0.0461 -0.0733,-0.0862 -0.0403,-0.04 -0.0734,-0.0791 -0.0734,-0.0867 0,-0.008 -0.007,-0.014 -0.0145,-0.014 -0.0215,0 -0.0793,-0.0484 -0.0694,-0.0583 0.005,-0.005 7.7e-4,-0.009 -0.008,-0.009 -0.0162,0 -0.086,-0.0679 -0.1372,-0.13343 -0.0143,-0.0183 -0.0616,-0.0705 -0.10521,-0.11607 -0.0435,-0.0455 -0.0792,-0.0894 -0.0792,-0.0975 0,-0.009 -0.006,-0.0112 -0.0134,-0.007 -0.008,0.005 -0.0134,-7.6e-4 -0.0134,-0.0126 0,-0.0115 -0.009,-0.0208 -0.02,-0.0208 -0.0111,0 -0.02,-0.006 -0.02,-0.0134 0,-0.008 -0.006,-0.0134 -0.0141,-0.0134 -0.0157,0 -0.0926,-0.08 -0.0926,-0.0964 0,-0.006 -0.006,-0.0104 -0.0133,-0.0104 -0.0211,0 -0.0935,-0.0818 -0.0935,-0.10572 0,-0.023 0.11047,-0.13446 0.1333,-0.13446 0.008,0 0.0135,-0.009 0.0135,-0.02 0,-0.0111 0.006,-0.02 0.0128,-0.02 0.007,0 0.0594,-0.045 0.11617,-0.10007 0.0568,-0.0551 0.10848,-0.10008 0.11472,-0.10008 0.0137,0 0.0899,-0.0817 0.0899,-0.0964 0,-0.006 0.006,-0.0104 0.014,-0.0104 0.008,0 0.0292,-0.0164 0.0478,-0.0365 0.0186,-0.02 0.0484,-0.0461 0.0662,-0.0577 0.0178,-0.0117 0.0712,-0.0583 0.11856,-0.10364 0.0474,-0.0453 0.0924,-0.0824 0.0999,-0.0824 0.008,0 0.0138,-0.007 0.0138,-0.0143 0,-0.0185 0.0339,-0.0524 0.0524,-0.0524 0.008,0 0.0143,-0.009 0.0143,-0.02 0,-0.0111 0.006,-0.02 0.0134,-0.02 0.008,0 0.0539,-0.0405 0.10352,-0.0901 0.0496,-0.0496 0.12006,-0.11409 0.15669,-0.14344 0.0367,-0.0293 0.0686,-0.0579 0.071,-0.0633 0.002,-0.005 0.0129,-0.01 0.0234,-0.01 0.0105,0 0.0189,-0.006 0.0189,-0.0142 0,-0.014 0.0338,-0.0477 0.1495,-0.14964 0.15388,-0.13549 0.17813,-0.15569 0.18742,-0.15601 0.005,-2e-4 0.01,-0.007 0.01,-0.0147 0,-0.0185 0.0339,-0.0524 0.0524,-0.0524 0.008,0 0.0143,-0.009 0.0143,-0.02 0,-0.011 0.006,-0.02 0.0142,-0.02 0.008,0 0.0356,-0.0225 0.0617,-0.05 0.0261,-0.0276 0.0527,-0.0485 0.0591,-0.0468 0.006,0.002 0.0117,-0.003 0.0117,-0.0118 0,-0.015 0.0267,-0.0414 0.0974,-0.0961 0.0205,-0.0159 0.0686,-0.0603 0.10676,-0.0986 0.0382,-0.0383 0.0769,-0.0699 0.0861,-0.0701 0.009,-1.5e-4 0.0167,-0.006 0.0167,-0.0136 0,-0.008 0.012,-0.0254 0.0267,-0.0401 0.0147,-0.0147 0.0267,-0.0237 0.0267,-0.02 0,0.003 0.012,-0.005 0.0267,-0.02 0.0147,-0.0147 0.0267,-0.0327 0.0267,-0.04 0,-0.008 0.008,-0.0134 0.0168,-0.0134 0.009,0 0.0331,-0.015 0.0528,-0.0334 0.0198,-0.0183 0.0426,-0.0334 0.0507,-0.0334 0.008,0 0.0114,-0.005 0.008,-0.0119 -0.005,-0.007 0.008,-0.0219 0.0268,-0.0342 0.0455,-0.0298 0.0857,-0.0708 0.0857,-0.0873 0,-0.008 0.007,-0.0134 0.0144,-0.0134 0.008,0 0.05,-0.0361 0.0933,-0.08 0.0433,-0.044 0.0814,-0.08 0.0846,-0.08 0.003,0 0.0232,-0.0165 0.0445,-0.0367 0.0844,-0.0799 0.12162,-0.11009 0.13552,-0.11009 0.008,0 0.0145,-0.007 0.0145,-0.0143 0,-0.0185 0.0339,-0.0524 0.0524,-0.0524 0.008,0 0.0143,-0.009 0.0143,-0.02 0,-0.0111 0.006,-0.02 0.013,-0.02 0.007,0 0.0455,-0.0315 0.0852,-0.07 0.0806,-0.0782 0.15505,-0.14345 0.16376,-0.14345 0.003,0 0.0502,-0.045 0.10452,-0.10008 0.0543,-0.0551 0.10416,-0.10007 0.11073,-0.10007 0.007,0 0.0199,-0.015 0.0298,-0.0334 0.01,-0.0183 0.0226,-0.0334 0.0284,-0.0334 0.006,0 0.0374,-0.0255 0.0701,-0.0567 0.0808,-0.0772 0.17035,-0.15678 0.17609,-0.15678 0.002,0 0.0439,-0.039 0.0919,-0.0867 0.048,-0.0477 0.0935,-0.0867 0.10133,-0.0867 0.008,0 0.0105,-0.006 0.006,-0.0134 -0.005,-0.008 -0.002,-0.0134 0.005,-0.0134 0.0157,0 0.0761,-0.0506 0.17152,-0.14344 0.0396,-0.0385 0.0777,-0.0701 0.0848,-0.0701 0.007,0 0.0128,-0.007 0.0128,-0.0143 0,-0.0163 0.0332,-0.0524 0.048,-0.0524 0.0113,0 0.0189,-0.007 0.14815,-0.13125 0.0529,-0.051 0.0994,-0.0892 0.10342,-0.0852 0.005,0.005 0.008,-0.002 0.008,-0.0149 0,-0.0122 0.009,-0.0222 0.02,-0.0222 0.0111,0 0.02,-0.006 0.02,-0.0134 0,-0.008 0.009,-0.0134 0.02,-0.0134 0.0111,0 0.02,-0.009 0.02,-0.02 0,-0.0109 0.006,-0.02 0.0134,-0.02 0.008,0 0.0134,-0.009 0.0134,-0.02 0,-0.011 0.008,-0.02 0.0169,-0.02 0.009,0 0.028,-0.015 0.0419,-0.0334 0.0137,-0.0183 0.0306,-0.0334 0.0375,-0.0334 0.017,0 0.0506,-0.0348 0.0506,-0.0524 0,-0.008 0.006,-0.0143 0.0134,-0.0143 0.008,0 0.0243,-0.0105 0.0377,-0.0234 0.0423,-0.0404 0.0956,-0.0834 0.10351,-0.0834 0.0113,0 0.11227,-0.11049 0.11227,-0.12284 0,-0.006 0.009,-0.0106 0.02,-0.0106 0.0111,0 0.02,-0.009 0.02,-0.02 0,-0.0111 0.009,-0.02 0.02,-0.02 0.0109,0 0.02,-0.006 0.02,-0.0125 0,-0.007 0.0106,-0.0158 0.0236,-0.0199 0.013,-0.005 0.0784,-0.0612 0.14534,-0.12689 0.0669,-0.0657 0.12534,-0.11573 0.1298,-0.11126 0.005,0.005 0.008,-0.002 0.008,-0.0141 0,-0.0122 0.009,-0.0222 0.02,-0.0222 0.0109,0 0.02,-0.009 0.02,-0.02 0,-0.0111 0.009,-0.02 0.0208,-0.02 0.0115,0 0.0171,-0.006 0.0126,-0.0134 -0.005,-0.008 7.6e-4,-0.0134 0.0126,-0.0134 0.0115,0 0.0208,-0.009 0.0208,-0.02 0,-0.011 0.005,-0.02 0.0121,-0.02 0.0116,0 0.054,-0.0324 0.10929,-0.0834 0.0139,-0.0128 0.0312,-0.0234 0.0386,-0.0234 0.008,0 0.0134,-0.009 0.0134,-0.02 0,-0.0111 0.006,-0.02 0.0134,-0.02 0.017,0 0.16013,-0.14365 0.16013,-0.16071 0,-0.007 0.007,-0.0127 0.0152,-0.0127 0.009,0 0.0403,-0.0255 0.0708,-0.0567 0.0306,-0.0312 0.0727,-0.0688 0.0937,-0.0834 0.021,-0.0147 0.0703,-0.0582 0.10963,-0.0967 0.0393,-0.0385 0.0739,-0.0701 0.0768,-0.0701 0.0109,0 0.0875,-0.0826 0.0875,-0.0944 0,-0.007 0.007,-0.0123 0.0149,-0.0123 0.009,0 0.039,-0.0241 0.0683,-0.0533 0.0293,-0.0293 0.0583,-0.0533 0.0644,-0.0533 0.006,0 0.0744,-0.0626 0.15188,-0.13903 0.0775,-0.0765 0.14089,-0.13535 0.14089,-0.13084 0,0.005 0.015,-0.0121 0.0334,-0.037 0.0183,-0.0248 0.0334,-0.0411 0.0334,-0.0361 0,0.009 0.0347,-0.0167 0.0739,-0.054 0.01,-0.009 0.024,-0.0167 0.0319,-0.0167 0.008,0 0.0143,-0.009 0.0143,-0.02 0,-0.0111 0.007,-0.02 0.0143,-0.02 0.0185,0 0.0524,-0.0339 0.0524,-0.0524 0,-0.008 0.009,-0.0143 0.02,-0.0143 0.0111,0 0.02,-0.009 0.02,-0.02 0,-0.0111 0.005,-0.0185 0.0105,-0.0167 0.006,0.002 0.0355,-0.0207 0.0662,-0.05 0.0823,-0.0786 0.10166,-0.0938 0.11416,-0.0898 0.006,0.002 0.008,-0.002 0.003,-0.009 -0.009,-0.0144 0.049,-0.0552 0.0785,-0.0552 0.0112,0 0.0205,0.006 0.0205,0.0134 0,0.008 0.009,0.0134 0.0205,0.0134 0.0112,0 0.0239,0.009 0.028,0.02 0.005,0.0111 0.0221,0.02 0.0396,0.02 0.0176,0 0.0319,0.006 0.0319,0.0125 0,0.007 0.0135,0.0167 0.03,0.0219 0.0165,0.005 0.0331,0.013 0.0368,0.0176 0.0107,0.0132 0.0581,0.0417 0.0834,0.0502 0.0128,0.005 0.0234,0.0131 0.0234,0.0196 0,0.007 0.0113,0.0118 0.025,0.0118 0.0138,0 0.0325,0.009 0.0417,0.02 0.009,0.0111 0.0272,0.02 0.0403,0.02 0.013,0 0.0271,0.009 0.0313,0.02 0.005,0.0111 0.0189,0.02 0.0327,0.02 0.0286,0 0.10484,0.0355 0.1164,0.0542 0.005,0.007 0.0193,0.0125 0.0337,0.0125 0.0142,0 0.0258,0.006 0.0258,0.0131 0,0.007 0.0151,0.0169 0.0334,0.0215 0.0183,0.005 0.0334,0.0137 0.0334,0.0203 0,0.007 0.0113,0.0119 0.025,0.0119 0.0137,0 0.0325,0.009 0.0417,0.02 0.009,0.0111 0.0279,0.02 0.0417,0.02 0.0138,0 0.025,0.006 0.025,0.0134 0,0.008 0.009,0.0134 0.0191,0.0134 0.0105,0 0.027,0.008 0.0367,0.0167 0.01,0.009 0.0416,0.0287 0.071,0.0434 0.0293,0.0147 0.0554,0.0312 0.0577,0.0367 0.002,0.005 0.0189,0.01 0.0367,0.01 0.0198,0 0.0323,0.008 0.0323,0.02 0,0.0109 0.007,0.02 0.0155,0.02 0.009,0 -0.01,0.024 -0.0406,0.0533 -0.0308,0.0293 -0.0618,0.0533 -0.0689,0.0533 -0.007,0 -0.0128,0.009 -0.0128,0.0205 0,0.0112 -0.009,0.0239 -0.02,0.0281 -0.0111,0.005 -0.02,0.016 -0.02,0.0263 0,0.0102 -0.007,0.0186 -0.0149,0.0186 -0.009,0 -0.0368,0.0251 -0.0633,0.056 -0.0597,0.0689 -0.17284,0.1842 -0.18074,0.1842 -0.006,0 -0.0879,0.0797 -0.0879,0.086 0,0.0121 -0.25327,0.26091 -0.26551,0.26091 -0.008,0 -0.0147,0.006 -0.0147,0.0142 0,0.008 -0.0315,0.0459 -0.0701,0.0846 -0.0385,0.0387 -0.10127,0.10436 -0.13943,0.1459 -0.0382,0.0416 -0.0757,0.0755 -0.0834,0.0755 -0.008,0 -0.0141,0.007 -0.0141,0.0143 0,0.0185 -0.034,0.0524 -0.0524,0.0524 -0.008,0 -0.0143,0.008 -0.0143,0.0162 0,0.0183 -0.1426,0.15729 -0.16133,0.15729 -0.007,0 -0.0122,0.009 -0.0122,0.02 0,0.0111 -0.009,0.02 -0.02,0.02 -0.018,0 -0.026,0.0158 -0.0215,0.0433 7.7e-4,0.005 -0.005,0.01 -0.0105,0.01 -0.007,0 -0.0623,0.0512 -0.12343,0.11381 -0.0612,0.0626 -0.19038,0.19416 -0.28704,0.29238 -0.0967,0.0982 -0.17223,0.1821 -0.16791,0.18641 0.005,0.005 7.6e-4,0.008 -0.007,0.008 -0.0184,0 -0.20301,0.1823 -0.20301,0.20044 0,0.007 -0.007,0.0131 -0.0143,0.0131 -0.0148,0 -0.0524,0.0326 -0.0524,0.0454 0,0.0128 -0.12034,0.12807 -0.13379,0.12807 -0.007,0 -0.013,0.006 -0.013,0.0134 0,0.008 -0.0241,0.0374 -0.0533,0.0667 -0.0293,0.0293 -0.0594,0.0533 -0.0667,0.0533 -0.008,0 -0.0134,0.006 -0.0134,0.0125 0,0.007 -0.0466,0.0601 -0.10342,0.11848 -0.0568,0.0584 -0.14023,0.14437 -0.18525,0.19113 -0.13555,0.1408 -0.24885,0.24535 -0.26166,0.24146 -0.007,-0.002 -0.009,0.002 -0.003,0.01 0.005,0.008 -0.034,0.0554 -0.0858,0.10662 -0.0517,0.0512 -0.0941,0.0994 -0.0941,0.10694 0,0.008 -0.008,0.0141 -0.0167,0.0143 -0.009,2.5e-4 -0.0527,0.04 -0.0967,0.0882 -0.1391,0.15243 -0.21768,0.22954 -0.22573,0.22151 -0.005,-0.005 -0.008,-7.7e-4 -0.008,0.008 0,0.009 -0.0355,0.0511 -0.0789,0.0945 -0.0434,0.0434 -0.0824,0.0754 -0.0867,0.0711 -0.005,-0.005 -0.008,7.6e-4 -0.008,0.0115 0,0.0224 -0.0474,0.0668 -0.0589,0.0552 -0.005,-0.005 -0.008,0.002 -0.008,0.0126 0,0.0112 -0.015,0.0317 -0.0334,0.0454 -0.0183,0.0137 -0.0334,0.0326 -0.0334,0.0419 0,0.009 -0.009,0.0169 -0.02,0.0169 -0.011,0 -0.02,0.009 -0.02,0.02 0,0.0111 -0.006,0.02 -0.0134,0.02 -0.0156,0 -0.16011,0.14299 -0.16011,0.15845 0,0.006 -0.015,0.0185 -0.0334,0.0283 -0.0183,0.01 -0.0334,0.0259 -0.0334,0.0356 0,0.01 -0.008,0.0177 -0.0177,0.0177 -0.01,0 -0.0257,0.015 -0.0356,0.0334 -0.01,0.0183 -0.0258,0.0334 -0.0356,0.0334 -0.01,0 -0.0177,0.007 -0.0177,0.0144 0,0.0186 -0.0817,0.10008 -0.0959,0.0957 -0.006,-0.002 -0.0109,0.003 -0.0109,0.011 0,0.0189 -0.0341,0.0524 -0.0533,0.0524 -0.009,0 -0.0113,0.006 -0.007,0.0134 0.005,0.008 -7.6e-4,0.017 -0.0121,0.0212 -0.0112,0.005 -0.024,0.0192 -0.0284,0.0332 -0.005,0.014 -0.0227,0.0291 -0.0405,0.0335 -0.0178,0.005 -0.0325,0.014 -0.0325,0.021 0,0.0173 -0.0347,0.051 -0.0524,0.051 -0.008,0 -0.0143,0.006 -0.0143,0.0142 0,0.0157 -0.0301,0.0497 -0.16559,0.18634 -0.0506,0.0512 -0.0973,0.093 -0.10342,0.093 -0.006,0 -0.0112,0.006 -0.0112,0.0142 0,0.008 -0.0211,0.0341 -0.0468,0.0583 -0.0257,0.0242 -0.0468,0.0421 -0.0468,0.0397 0,-0.002 -0.0271,0.0246 -0.06,0.0598 -0.0331,0.0353 -0.0601,0.0685 -0.0601,0.0738 0,0.013 -0.0355,0.0477 -0.049,0.0478 -0.006,5e-5 -0.024,0.0166 -0.0399,0.0367 -0.0481,0.0609 -0.13316,0.14999 -0.1431,0.14999 -0.0147,0 -0.0748,0.0639 -0.0748,0.0795 0,0.008 -0.009,0.014 -0.02,0.014 -0.0109,0 -0.02,0.009 -0.02,0.02 0,0.0111 -0.009,0.02 -0.0208,0.02 -0.0115,0 -0.0177,0.005 -0.0141,0.011 0.008,0.0122 -0.0382,0.0557 -0.0588,0.0557 -0.007,0 -0.0132,0.005 -0.0132,0.0121 0,0.017 -0.20964,0.22804 -0.22646,0.22804 -0.008,0 -0.0137,0.006 -0.0137,0.0142 0,0.008 -0.0451,0.0587 -0.10008,0.11299 -0.0551,0.0544 -0.10008,0.10498 -0.10008,0.11256 0,0.008 -0.009,0.0137 -0.02,0.0137 -0.0111,0 -0.02,0.005 -0.02,0.0105 0,0.0115 -0.0503,0.0642 -0.16561,0.17358 -0.041,0.0389 -0.0746,0.0743 -0.0746,0.0786 0,0.0131 -0.0788,0.0842 -0.0933,0.0842 -0.008,0 -0.0135,0.008 -0.0135,0.0167 -2e-5,0.009 -0.0361,0.0547 -0.0801,0.10128 -0.044,0.0465 -0.08,0.0818 -0.08,0.0783 0,-0.003 -0.051,0.0448 -0.11343,0.10739 -0.0624,0.0625 -0.11342,0.11572 -0.11342,0.11822 0,0.0121 -0.18633,0.19192 -0.19895,0.19192 -0.008,0 -0.0145,0.007 -0.0145,0.0151 0,0.009 -0.0211,0.0349 -0.0467,0.0591 -0.0257,0.0242 -0.0468,0.0504 -0.0468,0.0583 0,0.008 -0.009,0.0142 -0.02,0.0142 -0.0111,0 -0.02,0.009 -0.02,0.02 0,0.0111 -0.009,0.02 -0.02,0.02 -0.0111,0 -0.02,0.006 -0.02,0.0134 0,0.0396 -0.0608,-0.002 -0.1768,-0.12053 z m -1.54346,-1.58412 c -5.2e-4,-0.009 -0.0101,-0.0167 -0.0211,-0.0167 -0.011,0 -0.02,-0.009 -0.02,-0.02 0,-0.0111 -0.009,-0.02 -0.02,-0.02 -0.0111,0 -0.02,-0.005 -0.02,-0.011 0,-0.0142 -0.0729,-0.0958 -0.0855,-0.0958 -0.0148,0 -0.0478,-0.0362 -0.0478,-0.0524 0,-0.008 -0.006,-0.0143 -0.0139,-0.0143 -0.019,0 -0.06,-0.0412 -0.0708,-0.0713 -0.005,-0.0135 -0.0208,-0.0277 -0.0355,-0.0316 -0.0147,-0.003 -0.0267,-0.0111 -0.0267,-0.0161 0,-0.0131 -0.11633,-0.14283 -0.18547,-0.20691 -0.10595,-0.0982 -0.23492,-0.23707 -0.23152,-0.24927 0.002,-0.007 -0.002,-0.012 -0.0105,-0.012 -0.014,0 -0.093,-0.0749 -0.093,-0.0882 0,-0.0127 -0.0377,-0.0453 -0.0524,-0.0453 -0.008,0 -0.0143,-0.009 -0.0143,-0.0186 0,-0.0102 -0.0151,-0.0223 -0.0334,-0.027 -0.0183,-0.005 -0.0334,-0.0144 -0.0334,-0.0219 0,-0.008 -0.019,-0.0321 -0.0421,-0.0547 -0.0369,-0.0361 -0.0394,-0.0427 -0.02,-0.0536 0.0121,-0.007 0.0446,-0.0331 0.0722,-0.0584 0.0276,-0.0253 0.061,-0.0461 0.0743,-0.0461 0.0133,-5e-5 0.021,-0.005 0.0171,-0.0114 -0.003,-0.006 0.0149,-0.0287 0.0416,-0.05 0.0267,-0.0213 0.0561,-0.0462 0.0653,-0.0554 0.009,-0.009 0.0204,-0.0167 0.0249,-0.0167 0.0102,0 0.0419,-0.0257 0.0714,-0.0578 0.0123,-0.0134 0.0569,-0.0488 0.0991,-0.0787 0.0422,-0.0298 0.0767,-0.0594 0.0767,-0.0657 0,-0.006 0.006,-0.0114 0.0141,-0.0114 0.008,0 0.0356,-0.0211 0.0621,-0.0468 0.0264,-0.0257 0.0526,-0.0468 0.0581,-0.0468 0.005,0 0.0377,-0.0268 0.0713,-0.0595 0.0338,-0.0328 0.0613,-0.0558 0.0613,-0.051 0,0.005 0.015,-0.006 0.0334,-0.0228 0.0183,-0.0172 0.0334,-0.0277 0.0334,-0.0234 0,0.005 0.0253,-0.0156 0.0562,-0.0444 0.0308,-0.0288 0.0609,-0.0523 0.0667,-0.0523 0.006,0 0.0346,-0.0241 0.064,-0.0533 0.0293,-0.0293 0.0564,-0.0533 0.0602,-0.0533 0.006,0 0.0676,-0.0513 0.10754,-0.0901 0.009,-0.009 0.0236,-0.0167 0.0315,-0.0167 0.008,0 0.0143,-0.006 0.0143,-0.0134 0,-0.008 0.009,-0.0134 0.02,-0.0134 0.0111,0 0.02,-0.009 0.02,-0.02 0,-0.0111 0.008,-0.02 0.0168,-0.02 0.009,0 0.0329,-0.015 0.0528,-0.0334 0.0198,-0.0183 0.0422,-0.0334 0.0499,-0.0334 0.008,0 0.014,-0.009 0.014,-0.02 0,-0.0111 0.006,-0.02 0.0139,-0.02 0.008,0 0.0389,-0.0241 0.0694,-0.0533 0.0306,-0.0293 0.0603,-0.0533 0.0661,-0.0533 0.006,0 0.0241,-0.0116 0.0406,-0.0259 0.0918,-0.0789 0.11089,-0.0942 0.11796,-0.0942 0.005,-10e-6 0.0339,-0.0241 0.0656,-0.0534 0.0318,-0.0293 0.0623,-0.0533 0.0679,-0.0533 0.005,0 0.0281,-0.0179 0.0502,-0.04 0.022,-0.022 0.0449,-0.0402 0.051,-0.0403 0.006,-1.4e-4 0.0253,-0.0152 0.0426,-0.0335 0.0173,-0.0183 0.0489,-0.0435 0.0701,-0.056 0.0212,-0.0125 0.0384,-0.0305 0.0384,-0.0399 0,-0.009 0.009,-0.0171 0.02,-0.0171 0.0111,0 0.02,-0.005 0.02,-0.0109 0,-0.006 0.0243,-0.0246 0.054,-0.0412 0.0297,-0.0167 0.0612,-0.0419 0.07,-0.0559 0.009,-0.014 0.0194,-0.0254 0.0238,-0.0254 0.005,0 0.0339,-0.0241 0.0658,-0.0533 0.0318,-0.0293 0.0652,-0.0533 0.0743,-0.0533 0.009,0 0.0203,-0.01 0.0248,-0.0219 0.005,-0.0121 0.0118,-0.0185 0.016,-0.0144 0.007,0.007 0.0423,-0.0224 0.14025,-0.11385 0.0137,-0.0128 0.031,-0.0234 0.0384,-0.0234 0.008,0 0.0134,-0.006 0.0134,-0.0134 0,-0.008 0.005,-0.0134 0.0123,-0.0134 0.007,0 0.0304,-0.0165 0.0526,-0.0367 0.0941,-0.0858 0.12369,-0.11009 0.13441,-0.11009 0.006,0 0.0148,-0.009 0.019,-0.02 0.005,-0.0111 0.0169,-0.02 0.0281,-0.02 0.0112,0 0.0204,-0.006 0.0204,-0.0134 0,-0.008 0.006,-0.0134 0.0124,-0.0134 0.007,0 0.0347,-0.0211 0.0619,-0.0468 0.0272,-0.0257 0.0542,-0.0468 0.0599,-0.0468 0.006,0 0.0374,-0.027 0.0704,-0.06 0.0331,-0.0331 0.0643,-0.0601 0.0696,-0.0601 0.005,0 0.0235,-0.015 0.0404,-0.0334 0.017,-0.0183 0.0358,-0.0334 0.0417,-0.0334 0.006,0 0.027,-0.015 0.0468,-0.0334 0.0198,-0.0183 0.0422,-0.0334 0.0499,-0.0334 0.008,0 0.014,-0.009 0.014,-0.02 0,-0.0116 0.0121,-0.02 0.029,-0.02 0.0159,0 0.0251,-0.003 0.0205,-0.009 -0.008,-0.008 0.0462,-0.0583 0.0629,-0.0583 0.005,0 0.0319,-0.0241 0.0613,-0.0533 0.0293,-0.0293 0.0627,-0.0533 0.0742,-0.0533 0.0115,0 0.0171,-0.006 0.0126,-0.0134 -0.005,-0.008 7.6e-4,-0.0134 0.0126,-0.0134 0.0115,0 0.0208,-0.005 0.0208,-0.0111 0,-0.006 0.0328,-0.0346 0.0731,-0.0633 0.0403,-0.0289 0.0732,-0.0568 0.0734,-0.0624 1.5e-4,-0.005 0.007,-0.01 0.0143,-0.01 0.008,0 0.0279,-0.0151 0.0448,-0.0334 0.017,-0.0183 0.0438,-0.0334 0.0594,-0.0334 0.0157,0 0.027,-0.005 0.0251,-0.0105 -0.002,-0.006 0.0163,-0.0298 0.0405,-0.0533 0.046,-0.045 0.0963,-0.057 0.0963,-0.0229 0,0.0111 0.009,0.02 0.02,0.02 0.0111,0 0.02,0.005 0.02,0.0119 0,0.007 0.0105,0.0154 0.0234,0.0196 0.0267,0.009 0.0672,0.0343 0.0938,0.0587 0.01,0.009 0.0222,0.0167 0.0272,0.0167 0.005,1e-5 0.0265,0.015 0.0479,0.0334 0.0213,0.0183 0.0441,0.0333 0.0506,0.0333 0.007,0 0.0258,0.015 0.0428,0.0334 0.017,0.0183 0.0352,0.0334 0.0403,0.0334 0.005,0 0.0178,0.008 0.028,0.0167 0.0463,0.0415 0.0598,0.05 0.079,0.05 0.0113,0 0.0206,0.009 0.0206,0.02 0,0.0111 0.0114,0.02 0.0253,0.02 0.0139,0 0.0287,0.009 0.033,0.02 0.005,0.0111 0.0143,0.02 0.0225,0.02 0.0192,0 0.0528,0.0339 0.0528,0.0532 0,0.009 0.005,0.0118 0.0119,0.008 0.007,-0.005 0.0267,0.005 0.0449,0.0188 0.0183,0.0144 0.0369,0.0222 0.0416,0.0177 0.005,-0.005 0.009,0.002 0.009,0.0138 0,0.0122 0.007,0.0222 0.0143,0.0222 0.008,0 0.0227,0.008 0.0328,0.0167 0.0393,0.0352 0.0587,0.05 0.0656,0.05 0.007,0 0.0825,0.0551 0.16703,0.12109 0.0182,0.0141 0.0377,0.0257 0.0434,0.0257 0.006,0 -0.0201,0.03 -0.0576,0.0667 -0.0375,0.0367 -0.0736,0.0667 -0.0801,0.0667 -0.007,0 -0.012,0.006 -0.012,0.0134 0,0.008 -0.006,0.0134 -0.014,0.0134 -0.0147,0 -0.0859,0.0613 -0.18222,0.1568 -0.0315,0.0312 -0.0604,0.0567 -0.0644,0.0567 -0.005,0 -0.0362,0.03 -0.0718,0.0667 -0.0355,0.0367 -0.0714,0.0667 -0.0796,0.0667 -0.009,0 -0.015,0.009 -0.015,0.0208 0,0.0115 -0.005,0.0177 -0.0111,0.014 -0.006,-0.003 -0.0305,0.0109 -0.0542,0.0326 -0.0237,0.0216 -0.0488,0.0393 -0.0556,0.0393 -0.007,0 -0.0125,0.005 -0.0125,0.0123 0,0.0129 -0.077,0.0944 -0.0891,0.0944 -0.006,0 -0.0482,0.0377 -0.15182,0.13677 -0.0211,0.0203 -0.0419,0.0367 -0.0461,0.0367 -0.005,0 -0.021,0.0137 -0.0371,0.0305 -0.0162,0.0168 -0.0564,0.0511 -0.0894,0.0763 -0.0331,0.0251 -0.0791,0.0655 -0.10251,0.0896 -0.0234,0.0241 -0.0489,0.0438 -0.0567,0.0438 -0.008,0 -0.0142,0.009 -0.0142,0.02 0,0.0111 -0.008,0.02 -0.0177,0.02 -0.01,0 -0.0258,0.015 -0.0356,0.0334 -0.01,0.0183 -0.0236,0.0334 -0.0307,0.0334 -0.007,0 -0.0268,0.015 -0.0439,0.0334 -0.017,0.0183 -0.0376,0.0334 -0.0457,0.0334 -0.008,0 -0.0118,0.005 -0.008,0.0109 0.003,0.006 -0.0118,0.0219 -0.0343,0.0351 -0.0226,0.0134 -0.0636,0.0474 -0.0911,0.0759 -0.0276,0.0283 -0.0568,0.0516 -0.065,0.0516 -0.009,0 -0.0149,0.009 -0.0149,0.02 0,0.011 -0.005,0.02 -0.01,0.02 -0.0126,4e-5 -0.11046,0.0821 -0.18695,0.15674 -0.032,0.0312 -0.0636,0.0567 -0.0704,0.0567 -0.007,0 -0.0221,0.015 -0.034,0.0332 -0.012,0.0183 -0.0271,0.03 -0.0337,0.0259 -0.007,-0.005 -0.012,5.2e-4 -0.0122,0.0101 -1.5e-4,0.01 -0.03,0.0385 -0.0665,0.0642 -0.0364,0.0257 -0.0662,0.0512 -0.0665,0.0567 -1.5e-4,0.005 -0.009,0.01 -0.0203,0.01 -0.0111,0 -0.02,0.009 -0.02,0.02 0,0.0111 -0.007,0.02 -0.0143,0.02 -0.008,0 -0.0229,0.009 -0.0334,0.019 -0.0105,0.0105 -0.019,0.0255 -0.019,0.0334 0,0.008 -0.006,0.0143 -0.0138,0.0143 -0.008,0 -0.0305,0.0165 -0.0508,0.0367 -0.0463,0.0459 -0.14661,0.12862 -0.16316,0.13454 -0.007,0.002 -0.0125,0.0129 -0.0125,0.0234 0,0.0105 -0.009,0.0189 -0.02,0.0189 -0.0109,0 -0.02,0.006 -0.02,0.0134 0,0.008 -0.009,0.0134 -0.02,0.0134 -0.0109,0 -0.02,0.008 -0.02,0.0177 0,0.01 -0.015,0.0257 -0.0334,0.0356 -0.0183,0.01 -0.0334,0.0262 -0.0334,0.0364 0,0.0102 -0.005,0.0155 -0.0109,0.0119 -0.006,-0.003 -0.0388,0.0199 -0.0729,0.0526 -0.0341,0.0326 -0.0671,0.0594 -0.0736,0.0594 -0.006,0 -0.0196,0.015 -0.0294,0.0334 -0.01,0.0183 -0.0231,0.0334 -0.0296,0.0334 -0.007,0 -0.0249,0.0137 -0.0411,0.0305 -0.0162,0.0168 -0.0562,0.0513 -0.0891,0.0767 -0.0328,0.0254 -0.0799,0.0658 -0.10455,0.0896 -0.0247,0.0239 -0.0503,0.0433 -0.057,0.0433 -0.007,0 -0.0122,0.009 -0.0122,0.02 0,0.011 -0.006,0.02 -0.0134,0.02 -0.008,0 -0.0389,0.024 -0.0701,0.0532 -0.0312,0.0292 -0.073,0.0682 -0.0929,0.0867 -0.0199,0.0185 -0.0424,0.0335 -0.05,0.0335 -0.008,0 -0.0139,0.009 -0.0139,0.02 0,0.0111 -0.008,0.02 -0.0169,0.02 -0.009,0 -0.0281,0.0151 -0.0419,0.0334 -0.0138,0.0183 -0.0301,0.0334 -0.0363,0.0334 -0.0116,0 -0.055,0.0364 -0.14677,0.12343 -0.029,0.0276 -0.0589,0.05 -0.0665,0.05 -0.008,0 -0.01,0.006 -0.005,0.0134 0.005,0.008 -7.7e-4,0.0134 -0.0126,0.0134 -0.0115,0 -0.0208,0.009 -0.0208,0.02 0,0.0111 -0.006,0.02 -0.0129,0.02 -0.007,0 -0.0439,0.03 -0.0818,0.0667 -0.0378,0.0368 -0.074,0.0667 -0.0805,0.0667 -0.006,0 -0.0449,0.0331 -0.0856,0.0734 -0.0406,0.0403 -0.0792,0.0733 -0.0856,0.0733 -0.006,0 -0.0147,0.008 -0.0184,0.0167 -0.005,0.0134 -0.007,0.0134 -0.008,0 z m -1.50221,-1.53083 c -0.022,-0.0251 -0.0475,-0.0461 -0.0567,-0.0464 -0.009,-2.6e-4 -0.0167,-0.01 -0.0167,-0.0206 0,-0.0111 -0.009,-0.02 -0.02,-0.02 -0.0111,0 -0.02,-0.007 -0.02,-0.0149 0,-0.009 -0.0751,-0.0894 -0.1668,-0.18044 -0.0917,-0.0911 -0.16679,-0.17146 -0.16679,-0.17862 0,-0.007 -0.008,-0.0131 -0.0167,-0.0132 -0.009,-5e-5 -0.0377,-0.0247 -0.0633,-0.0548 -0.0428,-0.0502 -0.15564,-0.1732 -0.18819,-0.20522 -0.12475,-0.12271 -0.19877,-0.19935 -0.19877,-0.20581 0,-0.009 0.043,-0.0335 0.0834,-0.0487 0.0128,-0.005 0.0234,-0.0141 0.0234,-0.0206 0,-0.007 0.006,-0.0118 0.014,-0.0118 0.008,0 0.0302,-0.0152 0.05,-0.0338 0.0199,-0.0186 0.0661,-0.053 0.10283,-0.0765 0.0368,-0.0235 0.0688,-0.0473 0.0711,-0.0529 0.002,-0.006 0.0123,-0.0103 0.0219,-0.0103 0.01,0 0.021,-0.009 0.0252,-0.02 0.005,-0.0109 0.0154,-0.02 0.0249,-0.02 0.009,0 0.0334,-0.015 0.0532,-0.0334 0.0198,-0.0183 0.0423,-0.0334 0.0499,-0.0334 0.008,0 0.014,-0.009 0.014,-0.0208 0,-0.0115 0.005,-0.0176 0.0117,-0.0135 0.007,0.005 0.032,-0.0105 0.0567,-0.0322 0.0248,-0.0216 0.0645,-0.05 0.0883,-0.0629 0.0239,-0.0129 0.0434,-0.0281 0.0434,-0.0338 0,-0.006 0.009,-0.0102 0.0189,-0.0102 0.0105,0 0.0209,-0.005 0.0234,-0.0101 0.006,-0.0135 0.11264,-0.0967 0.12407,-0.0967 0.005,0 0.0174,-0.008 0.0277,-0.0167 0.0442,-0.0396 0.0593,-0.05 0.0724,-0.05 0.008,0 0.014,-0.006 0.014,-0.0134 0,-0.008 0.009,-0.0134 0.02,-0.0134 0.0111,0 0.02,-0.006 0.02,-0.0137 0,-0.008 0.015,-0.0193 0.0334,-0.0264 0.0183,-0.007 0.0334,-0.0188 0.0334,-0.0264 0,-0.008 0.009,-0.0137 0.02,-0.0137 0.0111,0 0.02,-0.006 0.02,-0.0134 0,-0.008 0.009,-0.0134 0.0204,-0.0134 0.0112,0 0.0239,-0.009 0.0281,-0.02 0.005,-0.0111 0.013,-0.02 0.0194,-0.02 0.0112,0 0.0473,-0.0267 0.086,-0.0633 0.01,-0.009 0.024,-0.0167 0.0319,-0.0167 0.008,0 0.0143,-0.006 0.0143,-0.0134 0,-0.008 0.009,-0.0134 0.02,-0.0134 0.0109,0 0.02,-0.006 0.02,-0.0131 0,-0.007 0.015,-0.0169 0.0334,-0.0215 0.0183,-0.005 0.0334,-0.0137 0.0334,-0.0203 0,-0.007 0.006,-0.0119 0.0139,-0.0119 0.0131,0 0.0282,-0.0105 0.0724,-0.05 0.0102,-0.009 0.025,-0.0167 0.0328,-0.0167 0.008,0 0.0143,-0.009 0.0143,-0.02 0,-0.011 0.009,-0.02 0.02,-0.02 0.0111,0 0.02,-0.006 0.02,-0.0125 0,-0.007 0.0131,-0.0166 0.029,-0.0216 0.0161,-0.005 0.0445,-0.0235 0.0633,-0.041 0.0189,-0.0175 0.0418,-0.0317 0.051,-0.0317 0.009,0 0.0169,-0.005 0.0169,-0.01 0,-0.005 0.0315,-0.031 0.07,-0.0567 0.0384,-0.0257 0.0849,-0.0602 0.10325,-0.0767 0.0387,-0.0348 0.0646,-0.0383 0.0755,-0.01 0.005,0.0111 0.0134,0.02 0.0205,0.02 0.0173,0 0.051,0.0346 0.051,0.0524 0,0.008 0.007,0.0143 0.0144,0.0143 0.008,0 0.0324,0.018 0.0544,0.0401 0.022,0.022 0.0453,0.04 0.0517,0.04 0.007,0 0.0574,0.045 0.11343,0.10008 0.0559,0.0551 0.10637,0.10008 0.11206,0.10008 0.006,0 0.0265,0.015 0.0463,0.0334 0.0198,0.0183 0.0417,0.0334 0.0487,0.0334 0.007,0 0.0127,0.009 0.0127,0.02 0,0.0111 0.006,0.02 0.0139,0.02 0.0149,0 0.0316,0.0125 0.0941,0.0701 0.0219,0.0202 0.0433,0.0367 0.0477,0.0367 0.005,0 0.0278,0.021 0.052,0.0468 0.0242,0.0257 0.0504,0.0468 0.0583,0.0468 0.008,0 0.0142,0.009 0.0142,0.02 0,0.011 0.006,0.02 0.014,0.02 0.008,0 0.0279,0.0135 0.0449,0.03 0.017,0.0165 0.0422,0.0367 0.056,0.0448 0.0215,0.0127 0.0225,0.0178 0.007,0.0367 -0.01,0.0121 -0.0264,0.0219 -0.0367,0.0219 -0.0101,0 -0.0184,0.009 -0.0184,0.02 0,0.0111 -0.005,0.02 -0.0119,0.02 -0.007,0 -0.0261,0.0149 -0.0434,0.0332 -0.0173,0.0183 -0.0377,0.0332 -0.0453,0.0334 -0.008,1.5e-4 -0.0362,0.0212 -0.0635,0.0469 -0.0272,0.0257 -0.054,0.0468 -0.0595,0.0468 -0.005,5e-5 -0.0292,0.0181 -0.0526,0.04 -0.0235,0.022 -0.049,0.04 -0.0567,0.04 -0.008,0 -0.0141,0.009 -0.0141,0.02 0,0.0111 -0.009,0.02 -0.02,0.02 -0.0111,0 -0.02,0.006 -0.02,0.0134 0,0.008 -0.007,0.0134 -0.0143,0.0134 -0.008,0 -0.0227,0.008 -0.0329,0.0167 -0.04,0.0359 -0.0587,0.05 -0.0662,0.05 -0.009,0 -0.0213,0.01 -0.0764,0.0575 -0.0199,0.0174 -0.052,0.0431 -0.0711,0.0571 -0.0348,0.0255 -0.0786,0.0598 -0.1088,0.0853 -0.009,0.008 -0.0223,0.0136 -0.03,0.0136 -0.008,0 -0.014,0.009 -0.014,0.02 0,0.0111 -0.009,0.02 -0.0189,0.02 -0.0105,0 -0.0208,0.005 -0.0234,0.01 -0.008,0.0165 -0.11042,0.0902 -0.12121,0.0867 -0.005,-0.002 -0.01,0.006 -0.01,0.0167 0,0.0111 -0.008,0.02 -0.0169,0.02 -0.009,0 -0.0281,0.0151 -0.0419,0.0334 -0.0138,0.0183 -0.0334,0.0334 -0.0436,0.0334 -0.0102,0 -0.022,0.009 -0.0263,0.02 -0.005,0.0111 -0.0194,0.02 -0.0338,0.02 -0.0143,0 -0.0223,0.006 -0.0178,0.0134 0.005,0.008 9e-5,0.0134 -0.01,0.0134 -0.01,0 -0.0432,0.0241 -0.0736,0.0533 -0.0306,0.0293 -0.0618,0.0533 -0.0694,0.0533 -0.008,0 -0.0138,0.005 -0.0138,0.0111 0,0.006 -0.0285,0.0315 -0.0633,0.0565 -0.0348,0.0249 -0.0754,0.0581 -0.0901,0.0738 -0.0147,0.0157 -0.0402,0.0326 -0.0567,0.0378 -0.0165,0.005 -0.03,0.015 -0.03,0.0219 0,0.007 -0.006,0.0125 -0.014,0.0125 -0.008,0 -0.0301,0.015 -0.0499,0.0334 -0.0198,0.0183 -0.0469,0.0334 -0.0603,0.0334 -0.0134,0 -0.0212,0.005 -0.0175,0.0109 0.008,0.0122 -0.0382,0.0558 -0.0587,0.0558 -0.007,0 -0.0132,0.008 -0.0132,0.0171 0,0.009 -0.0191,0.0284 -0.0425,0.0422 -0.0397,0.0234 -0.0852,0.0588 -0.12519,0.0974 -0.0226,0.0219 -0.0198,0.023 -0.0659,-0.0297 z m -1.31892,-1.34259 c -0.0415,-0.0434 -0.0754,-0.0814 -0.0754,-0.0845 0,-0.0111 -0.0824,-0.0877 -0.0944,-0.0877 -0.007,0 -0.0123,-0.009 -0.0123,-0.02 0,-0.0111 -0.007,-0.02 -0.0143,-0.02 -0.0185,0 -0.0524,-0.0339 -0.0524,-0.0524 0,-0.008 -0.007,-0.0143 -0.0143,-0.0143 -0.0185,0 -0.0524,-0.0339 -0.0524,-0.0524 0,-0.008 -0.009,-0.0143 -0.02,-0.0143 -0.0111,0 -0.02,-0.009 -0.02,-0.02 0,-0.0111 -0.006,-0.02 -0.0138,-0.02 -0.014,0 -0.093,-0.075 -0.093,-0.0881 0,-0.0128 -0.0377,-0.0453 -0.0524,-0.0453 -0.008,0 -0.0143,-0.007 -0.0143,-0.0154 0,-0.017 -0.10466,-0.11804 -0.12232,-0.11804 -0.006,0 -0.0111,-0.007 -0.0111,-0.0144 0,-0.008 -0.0219,-0.0357 -0.0487,-0.0618 l -0.0487,-0.0474 0.0321,-0.0247 c 0.0177,-0.0135 0.039,-0.0248 0.0474,-0.0249 0.009,-1.5e-4 0.0187,-0.009 0.0229,-0.0203 0.005,-0.0111 0.0169,-0.02 0.0281,-0.02 0.0112,0 0.0204,-0.006 0.0204,-0.0134 0,-0.008 0.012,-0.0134 0.0267,-0.0134 0.0148,0 0.0267,-0.009 0.0267,-0.02 0,-0.0111 0.009,-0.02 0.0184,-0.02 0.0101,0 0.0254,-0.009 0.034,-0.0187 0.009,-0.0104 0.0363,-0.0286 0.0616,-0.0406 0.0254,-0.0121 0.0461,-0.0276 0.0461,-0.0346 0,-0.007 0.0144,-0.0128 0.0319,-0.0128 0.0176,0 0.0355,-0.009 0.0399,-0.0209 0.005,-0.0115 0.0141,-0.0171 0.0214,-0.0126 0.008,0.005 0.0135,-7.6e-4 0.0135,-0.0125 0,-0.0115 0.009,-0.0208 0.02,-0.0208 0.0111,0 0.02,-0.005 0.02,-0.0108 0,-0.006 0.0241,-0.0214 0.0534,-0.0343 0.0293,-0.0129 0.0609,-0.0306 0.0701,-0.0393 0.009,-0.009 0.0391,-0.0276 0.0667,-0.0421 0.0275,-0.0144 0.05,-0.031 0.05,-0.0367 0,-0.006 0.009,-0.0102 0.02,-0.0102 0.0111,0 0.02,-0.006 0.02,-0.0124 0,-0.007 0.0135,-0.0167 0.03,-0.0219 0.0165,-0.005 0.0432,-0.0236 0.0594,-0.0409 0.0162,-0.0173 0.0389,-0.0315 0.0504,-0.0315 0.0116,0 0.0243,-0.009 0.0283,-0.0189 0.005,-0.0104 0.0346,-0.0269 0.068,-0.0368 0.0334,-0.01 0.0636,-0.0254 0.0672,-0.0345 0.003,-0.009 0.0126,-0.0167 0.0201,-0.0167 0.008,0 0.0273,-0.0147 0.0439,-0.0326 0.0166,-0.0179 0.0328,-0.0299 0.0361,-0.0266 0.003,0.003 0.0169,-0.006 0.0302,-0.0208 0.0134,-0.0147 0.0322,-0.0268 0.0422,-0.0268 0.01,0 0.0179,-0.005 0.0179,-0.0102 0,-0.0102 0.0396,-0.0343 0.0834,-0.0509 0.0128,-0.005 0.0234,-0.0141 0.0234,-0.0206 0,-0.007 0.009,-0.0118 0.0205,-0.0118 0.0112,0 0.0239,-0.009 0.0281,-0.02 0.005,-0.0111 0.0221,-0.02 0.0397,-0.02 0.0176,0 0.0319,-0.007 0.0319,-0.0152 0,-0.0205 0.0412,-0.0505 0.0701,-0.0511 0.0128,-2.6e-4 0.0234,-0.009 0.0234,-0.0205 0,-0.0111 0.0119,-0.02 0.0267,-0.02 0.0147,0 0.0267,-0.006 0.0267,-0.0134 0,-0.008 0.009,-0.0134 0.0205,-0.0134 0.0112,0 0.0239,-0.009 0.0281,-0.02 0.005,-0.0109 0.0184,-0.02 0.0315,-0.02 0.0131,0 0.0273,-0.009 0.0315,-0.02 0.005,-0.0111 0.0141,-0.02 0.0218,-0.02 0.008,0 0.0432,-0.0196 0.0788,-0.0434 0.0356,-0.0239 0.0847,-0.0554 0.10912,-0.0701 0.0244,-0.0147 0.0552,-0.0332 0.0683,-0.0412 0.0132,-0.008 0.036,-0.0254 0.0507,-0.0388 0.0147,-0.0134 0.0268,-0.0196 0.0268,-0.0137 0,0.006 0.0159,-0.005 0.0354,-0.0249 0.0196,-0.0196 0.0495,-0.039 0.0667,-0.0433 0.0172,-0.005 0.0312,-0.0132 0.0312,-0.0198 0,-0.007 0.009,-0.0119 0.02,-0.0119 0.0109,0 0.02,-0.005 0.02,-0.0121 0,-0.007 0.0165,-0.0179 0.0368,-0.0253 0.0202,-0.007 0.0499,-0.0258 0.0662,-0.0413 0.0162,-0.0155 0.0381,-0.0282 0.0486,-0.0282 0.0105,0 0.0226,-0.009 0.0268,-0.02 0.005,-0.0111 0.0169,-0.02 0.0281,-0.02 0.0112,0 0.0205,-0.006 0.0205,-0.0134 0,-0.008 0.009,-0.0134 0.02,-0.0134 0.0109,0 0.02,-0.006 0.02,-0.0131 0,-0.007 0.015,-0.0169 0.0334,-0.0215 0.0183,-0.005 0.0334,-0.0137 0.0334,-0.0203 0,-0.007 0.009,-0.0119 0.02,-0.0119 0.0111,0 0.02,-0.006 0.02,-0.0124 0,-0.007 0.0129,-0.0165 0.0288,-0.0215 0.0158,-0.005 0.042,-0.0235 0.0582,-0.0409 0.0162,-0.0175 0.0433,-0.0318 0.0602,-0.0318 0.0169,0 0.0267,-0.005 0.0219,-0.009 -0.008,-0.008 0.0192,-0.0283 0.0711,-0.0531 0.0111,-0.005 0.0248,-0.0175 0.0306,-0.0272 0.006,-0.01 0.0218,-0.0177 0.0353,-0.0177 0.0135,0 0.0281,-0.009 0.0322,-0.02 0.005,-0.011 0.0169,-0.02 0.0281,-0.02 0.0112,0 0.0204,-0.005 0.0204,-0.0118 0,-0.007 0.0105,-0.0156 0.0234,-0.0203 0.0327,-0.0118 0.0797,-0.0403 0.11527,-0.0697 0.0432,-0.0357 0.078,-0.058 0.10491,-0.067 0.0128,-0.005 0.0234,-0.0124 0.0234,-0.018 0,-0.006 0.0105,-0.0138 0.0234,-0.0181 0.0313,-0.0105 0.0651,-0.0326 0.12631,-0.0827 0.009,-0.008 0.0261,-0.0183 0.0371,-0.0234 0.0111,-0.005 0.038,-0.021 0.0601,-0.035 0.022,-0.0141 0.0539,-0.026 0.0708,-0.0265 0.0171,-5.1e-4 0.0271,-0.007 0.0225,-0.0144 -0.005,-0.008 0.002,-0.0176 0.0159,-0.0226 0.0133,-0.005 0.0315,-0.0155 0.0404,-0.0233 0.0468,-0.0406 0.0578,-0.0474 0.0766,-0.0474 0.0113,0 0.0206,-0.005 0.0206,-0.0106 0,-0.006 0.0239,-0.0254 0.053,-0.0434 0.0292,-0.018 0.0532,-0.0371 0.0533,-0.0427 2.1e-4,-0.005 0.0118,-0.01 0.0256,-0.01 0.0138,0 0.0283,-0.008 0.0321,-0.0179 0.003,-0.01 0.0284,-0.0282 0.0548,-0.0406 0.0264,-0.0125 0.048,-0.0285 0.048,-0.0354 0,-0.007 0.009,-0.0127 0.02,-0.0127 0.0111,0 0.02,-0.005 0.02,-0.0102 0,-0.0102 0.0396,-0.0343 0.0834,-0.0509 0.0128,-0.005 0.0234,-0.0141 0.0234,-0.0206 0,-0.007 0.008,-0.0118 0.018,-0.0118 0.01,0 0.0354,-0.0151 0.0567,-0.0335 0.0213,-0.0184 0.0503,-0.0371 0.0645,-0.0417 0.0141,-0.005 0.0411,-0.0225 0.0599,-0.0399 0.0189,-0.0175 0.0418,-0.0317 0.051,-0.0317 0.009,0 0.0168,-0.005 0.0168,-0.0109 0,-0.006 0.027,-0.0245 0.06,-0.041 0.0331,-0.0165 0.06,-0.0342 0.06,-0.0392 0,-0.009 0.0109,-0.0163 0.10117,-0.0623 0.0287,-0.0147 0.0544,-0.0313 0.0568,-0.037 0.002,-0.006 0.028,-0.0223 0.0567,-0.037 0.0286,-0.0147 0.0521,-0.0325 0.0521,-0.0396 0,-0.007 0.0144,-0.0131 0.0319,-0.0131 0.0176,0 0.0354,-0.009 0.0397,-0.02 0.005,-0.0111 0.0169,-0.02 0.0281,-0.02 0.0112,0 0.0205,-0.006 0.0205,-0.0134 0,-0.008 0.01,-0.0134 0.0219,-0.0134 0.012,0 0.0357,-0.015 0.0527,-0.0334 0.017,-0.0183 0.0404,-0.0334 0.052,-0.0334 0.0115,0 0.0244,-0.009 0.0287,-0.02 0.005,-0.0111 0.016,-0.02 0.0263,-0.02 0.0102,0 0.0186,-0.006 0.0186,-0.0124 0,-0.007 0.0135,-0.0167 0.03,-0.0219 0.0165,-0.005 0.0331,-0.0134 0.0367,-0.0182 0.0108,-0.0144 0.17561,-0.12104 0.1869,-0.12104 0.006,0 0.0139,-0.009 0.018,-0.02 0.005,-0.0111 0.0169,-0.02 0.0281,-0.02 0.0112,0 0.0204,-0.006 0.0204,-0.0134 0,-0.008 0.009,-0.0134 0.021,-0.0134 0.0115,0 0.0299,-0.009 0.041,-0.02 0.011,-0.0111 0.0306,-0.02 0.0435,-0.02 0.0129,0 0.0307,-0.0135 0.0396,-0.03 0.009,-0.0165 0.0399,-0.0415 0.0689,-0.0555 0.029,-0.0141 0.0528,-0.0306 0.0528,-0.0368 0,-0.0247 0.0756,-0.009 0.10964,0.0222 0.0198,0.0183 0.0455,0.0334 0.057,0.0334 0.0115,0 0.0245,0.009 0.0286,0.02 0.005,0.011 0.016,0.02 0.0263,0.02 0.0102,0 0.0186,0.006 0.0186,0.0134 0,0.008 0.0144,0.0134 0.0319,0.0134 0.0176,0 0.0354,0.009 0.0397,0.02 0.005,0.0109 0.0169,0.02 0.028,0.02 0.0112,0 0.0204,0.006 0.0204,0.0131 0,0.007 0.015,0.0169 0.0333,0.0214 0.0183,0.005 0.0299,0.0137 0.026,0.0203 -0.005,0.007 -1.6e-4,0.0119 0.009,0.0119 0.009,0 0.054,0.0241 0.10054,0.0533 0.0465,0.0293 0.0902,0.0533 0.0971,0.0533 0.007,0 0.0145,0.005 0.017,0.01 0.007,0.0145 0.12964,0.0967 0.14494,0.0967 0.007,0 0.0129,0.006 0.0129,0.0134 0,0.008 0.0122,0.0134 0.0271,0.0134 0.0149,0 0.0306,0.009 0.0348,0.02 0.005,0.011 0.016,0.02 0.0263,0.02 0.0102,0 0.0186,0.006 0.0186,0.0134 0,0.008 -0.009,0.0134 -0.02,0.0134 -0.0111,0 -0.02,0.006 -0.02,0.0124 0,0.007 -0.0131,0.0166 -0.029,0.0217 -0.016,0.005 -0.0445,0.0234 -0.0633,0.041 -0.0189,0.0175 -0.039,0.0317 -0.0449,0.0317 -0.006,0 -0.0248,0.0151 -0.0417,0.0334 -0.017,0.0183 -0.0377,0.0334 -0.0461,0.0334 -0.009,0 -0.0151,0.006 -0.0151,0.0131 0,0.007 -0.015,0.0169 -0.0334,0.0215 -0.0183,0.005 -0.0334,0.0137 -0.0334,0.0203 0,0.007 -0.009,0.0119 -0.02,0.0119 -0.0111,0 -0.02,0.009 -0.02,0.0184 0,0.0102 -0.0105,0.022 -0.0234,0.0263 -0.025,0.009 -0.0724,0.0368 -0.0834,0.05 -0.003,0.005 -0.0324,0.0241 -0.0639,0.0439 -0.0314,0.0197 -0.0692,0.0478 -0.0839,0.0625 -0.0147,0.0147 -0.0325,0.0231 -0.0396,0.0187 -0.007,-0.005 -0.0128,0.002 -0.0128,0.0128 0,0.0115 -0.009,0.0208 -0.02,0.0208 -0.0111,0 -0.02,0.006 -0.02,0.0134 0,0.008 -0.006,0.0134 -0.0134,0.0134 -0.008,0 -0.0425,0.0209 -0.078,0.0464 -0.0356,0.0256 -0.0687,0.0426 -0.0734,0.0378 -0.005,-0.005 -0.009,-0.002 -0.009,0.007 0,0.009 -0.006,0.0156 -0.014,0.0156 -0.0154,0 -0.0366,0.0155 -0.0953,0.0701 -0.0218,0.0202 -0.0448,0.0367 -0.0512,0.0367 -0.006,0 -0.0164,0.008 -0.0223,0.0167 -0.006,0.009 -0.0286,0.0257 -0.0506,0.0367 -0.0219,0.011 -0.0526,0.0335 -0.0682,0.05 -0.0156,0.0165 -0.0384,0.03 -0.0506,0.03 -0.0122,0 -0.0257,0.009 -0.0299,0.02 -0.005,0.011 -0.016,0.02 -0.0263,0.02 -0.0102,0 -0.0186,0.006 -0.0186,0.0131 0,0.007 -0.015,0.0169 -0.0334,0.0215 -0.0183,0.005 -0.0334,0.0137 -0.0334,0.0203 0,0.007 -0.009,0.0119 -0.0208,0.0119 -0.0115,0 -0.0173,0.006 -0.0132,0.0124 0.005,0.007 -0.006,0.0167 -0.0225,0.0219 -0.0166,0.005 -0.0434,0.0236 -0.0596,0.041 -0.0162,0.0174 -0.038,0.0315 -0.0487,0.0315 -0.0105,0 -0.0227,0.009 -0.0269,0.02 -0.005,0.0109 -0.0169,0.02 -0.0281,0.02 -0.0112,0 -0.0205,0.005 -0.0205,0.0103 0,0.006 -0.0225,0.0222 -0.05,0.0367 -0.0275,0.0144 -0.065,0.0399 -0.0833,0.0564 -0.0183,0.0165 -0.0381,0.03 -0.044,0.03 -0.006,0 -0.0247,0.015 -0.0417,0.0334 -0.017,0.0183 -0.037,0.0334 -0.0446,0.0334 -0.008,0 -0.0172,0.009 -0.0214,0.02 -0.005,0.0111 -0.0199,0.02 -0.0348,0.02 -0.0149,0 -0.0271,0.006 -0.0271,0.0134 0,0.008 -0.009,0.0134 -0.0186,0.0134 -0.0102,0 -0.022,0.009 -0.0263,0.02 -0.005,0.0111 -0.0158,0.02 -0.0257,0.02 -0.01,0 -0.0382,0.018 -0.0629,0.0401 -0.0247,0.022 -0.0483,0.04 -0.0526,0.04 -0.005,0 -0.0317,0.0209 -0.061,0.0464 -0.0293,0.0255 -0.061,0.0466 -0.0705,0.0467 -0.009,1.5e-4 -0.0306,0.0142 -0.0467,0.0312 -0.0162,0.017 -0.0384,0.0352 -0.0494,0.0402 -0.0111,0.005 -0.0381,0.0212 -0.0601,0.0359 -0.022,0.0147 -0.0505,0.0303 -0.0633,0.0348 -0.0128,0.005 -0.0234,0.0134 -0.0234,0.0199 0,0.007 -0.007,0.0118 -0.0143,0.0118 -0.008,0 -0.0227,0.008 -0.0328,0.0167 -0.0442,0.0397 -0.0593,0.05 -0.0724,0.05 -0.008,0 -0.0138,0.009 -0.0138,0.02 0,0.0111 -0.009,0.02 -0.02,0.02 -0.0111,0 -0.02,0.006 -0.02,0.0132 0,0.007 -0.015,0.0169 -0.0334,0.0215 -0.0183,0.005 -0.0334,0.0128 -0.0334,0.0182 0,0.005 -0.0211,0.0212 -0.0468,0.0349 -0.0257,0.0139 -0.0468,0.0298 -0.0468,0.0354 0,0.006 -0.009,0.0103 -0.0186,0.0103 -0.0102,0 -0.022,0.009 -0.0263,0.02 -0.005,0.0111 -0.0166,0.02 -0.0275,0.02 -0.0109,0 -0.0342,0.0143 -0.0516,0.0318 -0.0175,0.0175 -0.0448,0.0359 -0.0606,0.041 -0.0159,0.005 -0.0289,0.0147 -0.0289,0.0215 0,0.007 -0.009,0.0125 -0.02,0.0125 -0.0111,0 -0.02,0.006 -0.02,0.0134 0,0.008 -0.006,0.0134 -0.014,0.0134 -0.008,0 -0.0302,0.0152 -0.05,0.0338 -0.0199,0.0186 -0.0812,0.0618 -0.13619,0.0961 -0.0551,0.0342 -0.10209,0.067 -0.10452,0.073 -0.002,0.006 -0.0129,0.0107 -0.0234,0.0107 -0.0105,0 -0.0189,0.005 -0.019,0.01 -6e-5,0.005 -0.0226,0.0249 -0.05,0.0432 -0.0275,0.0183 -0.0594,0.0433 -0.0707,0.0558 -0.0115,0.0125 -0.037,0.0267 -0.0567,0.0317 -0.0198,0.005 -0.0359,0.0144 -0.0359,0.0209 0,0.007 -0.009,0.0119 -0.02,0.0119 -0.0111,0 -0.02,0.005 -0.02,0.0103 0,0.006 -0.0211,0.0215 -0.0468,0.0354 -0.0257,0.0139 -0.0468,0.0332 -0.0468,0.0431 0,0.01 -0.0121,0.0179 -0.0271,0.0179 -0.0149,0 -0.0306,0.009 -0.0348,0.02 -0.005,0.0111 -0.016,0.02 -0.0263,0.02 -0.0102,0 -0.0186,0.005 -0.0186,0.0112 0,0.006 -0.0211,0.0225 -0.0468,0.0364 -0.0257,0.0138 -0.0468,0.0298 -0.0468,0.0354 0,0.006 -0.009,0.0102 -0.02,0.0102 -0.0111,0 -0.02,0.006 -0.02,0.0137 0,0.008 -0.015,0.0193 -0.0334,0.0264 -0.0183,0.007 -0.0334,0.0188 -0.0334,0.0264 0,0.008 -0.009,0.0137 -0.02,0.0137 -0.0111,0 -0.02,0.006 -0.02,0.0134 0,0.008 -0.009,0.0134 -0.02,0.0134 -0.0111,0 -0.02,0.006 -0.02,0.0131 0,0.007 -0.0151,0.0169 -0.0334,0.0215 -0.0183,0.005 -0.0334,0.0137 -0.0334,0.0203 0,0.007 -0.007,0.0119 -0.0151,0.0119 -0.009,0 -0.0278,0.0135 -0.0434,0.03 -0.0155,0.0165 -0.0612,0.0509 -0.10161,0.0763 -0.0403,0.0254 -0.0764,0.0494 -0.08,0.0533 -0.0125,0.0133 -0.0599,0.0412 -0.0834,0.049 -0.0128,0.005 -0.0234,0.0134 -0.0234,0.02 0,0.007 -0.0106,0.0162 -0.0234,0.0211 -0.0128,0.005 -0.0306,0.0151 -0.0396,0.0229 -0.0428,0.0372 -0.0567,0.0474 -0.0643,0.0474 -0.005,0 -0.0165,0.008 -0.0268,0.0167 -0.0447,0.0401 -0.0594,0.05 -0.0737,0.05 -0.017,0 -0.17693,0.11791 -0.18389,0.13552 -0.002,0.006 -0.0129,0.0113 -0.0234,0.0113 -0.0105,0 -0.019,0.005 -0.019,0.0118 0,0.007 -0.0105,0.0153 -0.0234,0.0196 -0.0313,0.0105 -0.0686,0.0357 -0.10657,0.072 -0.0173,0.0165 -0.0374,0.03 -0.0448,0.03 -0.008,0 -0.0267,0.0135 -0.0428,0.03 -0.0339,0.0345 -0.0725,0.0607 -0.10602,0.072 -0.0128,0.005 -0.0234,0.0132 -0.0234,0.0196 0,0.007 -0.006,0.0118 -0.014,0.0118 -0.0151,0 -0.0419,0.0199 -0.0767,0.0567 -0.0121,0.0128 -0.0297,0.0234 -0.0391,0.0234 -0.009,0 -0.017,0.006 -0.017,0.0125 0,0.007 -0.0121,0.0163 -0.0269,0.0209 -0.0148,0.005 -0.0235,0.0141 -0.0193,0.0209 0.005,0.007 -0.008,0.0124 -0.0274,0.0124 -0.0199,0 -0.0314,0.006 -0.0267,0.0134 0.005,0.008 -7.6e-4,0.0134 -0.0126,0.0134 -0.0115,0 -0.0208,0.006 -0.0208,0.0125 0,0.007 -0.0129,0.0165 -0.0287,0.0215 -0.0158,0.005 -0.0413,0.0225 -0.0567,0.0386 -0.0507,0.0534 -0.0658,0.0499 -0.14595,-0.0338 z m 3.73064,-0.57254 c -0.0306,-0.0293 -0.0618,-0.0533 -0.0694,-0.0533 -0.008,0 -0.0139,-0.006 -0.0139,-0.0134 0,-0.008 -0.005,-0.0134 -0.012,-0.0134 -0.0122,0 -0.0685,-0.0452 -0.13702,-0.11008 -0.0213,-0.0202 -0.0435,-0.0367 -0.0493,-0.0367 -0.006,0 -0.0186,-0.0151 -0.0285,-0.0334 -0.01,-0.0183 -0.0263,-0.0334 -0.0367,-0.0334 -0.0104,0 -0.0363,-0.0176 -0.0577,-0.039 -0.0215,-0.0215 -0.039,-0.0354 -0.039,-0.0312 0,0.005 -0.0225,-0.0164 -0.05,-0.0462 -0.0276,-0.0297 -0.0621,-0.0566 -0.0767,-0.0597 -0.0147,-0.003 -0.0251,-0.0128 -0.0234,-0.0215 0.002,-0.009 -0.002,-0.0159 -0.0106,-0.0159 -0.008,0 -0.0279,-0.015 -0.0448,-0.0334 -0.017,-0.0183 -0.0343,-0.0334 -0.0384,-0.0334 -0.005,0 -0.0298,-0.021 -0.057,-0.0468 -0.0272,-0.0257 -0.0538,-0.0467 -0.0591,-0.0467 -0.0147,0 -0.0801,-0.0639 -0.0801,-0.0783 0,-0.007 -0.008,-0.0159 -0.0167,-0.0196 -0.0102,-0.005 -0.008,-0.007 0.006,-0.008 0.0125,-5.1e-4 0.0422,-0.0191 0.0664,-0.0411 0.0242,-0.022 0.0516,-0.0401 0.0609,-0.0401 0.009,0 0.017,-0.006 0.017,-0.0134 0,-0.008 0.009,-0.0134 0.021,-0.0134 0.0115,0 0.0293,-0.008 0.0396,-0.0167 0.0442,-0.0396 0.0592,-0.05 0.0724,-0.05 0.008,0 0.0139,-0.009 0.0139,-0.02 0,-0.0126 0.0127,-0.02 0.0341,-0.02 0.0189,0 0.0306,-0.006 0.0263,-0.0127 -0.005,-0.007 0.005,-0.0189 0.0182,-0.0267 0.0143,-0.008 0.034,-0.0215 0.0438,-0.0307 0.01,-0.009 0.0402,-0.0318 0.0676,-0.0501 0.0275,-0.0183 0.05,-0.0378 0.05,-0.0433 5e-5,-0.005 0.006,-0.01 0.014,-0.01 0.008,0 0.027,-0.0122 0.0431,-0.0272 0.0161,-0.015 0.0428,-0.0306 0.0595,-0.0348 0.0167,-0.005 0.0303,-0.0164 0.0303,-0.027 0,-0.0106 0.005,-0.016 0.0119,-0.012 0.007,0.005 0.0154,-0.002 0.0196,-0.0126 0.005,-0.0109 0.02,-0.0199 0.0352,-0.0199 0.0151,0 0.031,-0.009 0.0352,-0.02 0.005,-0.0111 0.0164,-0.02 0.027,-0.02 0.0107,0 0.0157,-0.006 0.0112,-0.0134 -0.005,-0.008 -0.002,-0.0134 0.007,-0.0134 0.0158,0 0.0423,-0.0193 0.0775,-0.0567 0.0121,-0.0128 0.0312,-0.0235 0.0425,-0.0238 0.0208,-5.1e-4 0.0813,-0.0396 0.0611,-0.0396 -0.006,0 0.0111,-0.015 0.0381,-0.0334 0.027,-0.0183 0.0549,-0.0334 0.0619,-0.0334 0.007,0 0.0128,-0.006 0.0128,-0.0134 0,-0.008 0.006,-0.0134 0.0128,-0.0134 0.007,0 0.0313,-0.018 0.0539,-0.0401 0.0225,-0.022 0.0475,-0.04 0.0555,-0.04 0.008,0 0.0244,-0.0105 0.0362,-0.0234 0.0118,-0.0128 0.0448,-0.0352 0.0732,-0.0497 0.0283,-0.0144 0.0545,-0.034 0.0581,-0.0434 0.003,-0.009 0.0134,-0.017 0.0219,-0.017 0.009,0 0.0316,-0.015 0.0513,-0.0334 0.0198,-0.0183 0.0409,-0.0334 0.0468,-0.0334 0.006,0 0.0269,-0.015 0.0468,-0.0334 0.0198,-0.0183 0.0425,-0.0334 0.0504,-0.0334 0.008,0 0.0178,-0.009 0.022,-0.02 0.005,-0.0111 0.0154,-0.02 0.0248,-0.02 0.009,0 0.0206,-0.009 0.0248,-0.02 0.005,-0.0111 0.0169,-0.02 0.0281,-0.02 0.0112,0 0.0204,-0.006 0.0204,-0.0134 0,-0.008 0.009,-0.0134 0.02,-0.0134 0.0111,0 0.02,-0.005 0.02,-0.0102 0,-0.006 0.0241,-0.025 0.0533,-0.0432 0.0293,-0.0182 0.0533,-0.0376 0.0533,-0.0432 0,-0.006 0.007,-0.0102 0.0143,-0.0102 0.008,0 0.0227,-0.008 0.0328,-0.0167 0.0408,-0.0367 0.0588,-0.05 0.0671,-0.05 0.0112,0 0.11784,-0.0834 0.12368,-0.0966 0.002,-0.005 0.0129,-0.0101 0.0234,-0.0101 0.0105,0 0.0189,-0.005 0.0189,-0.0112 0,-0.006 0.024,-0.0227 0.0532,-0.0368 0.0293,-0.014 0.0532,-0.0316 0.0533,-0.0391 1e-4,-0.008 0.0209,-0.0248 0.0462,-0.0384 0.0254,-0.0136 0.0597,-0.0375 0.0764,-0.0531 0.0167,-0.0155 0.0335,-0.0286 0.0374,-0.0291 0.0167,-0.002 0.0936,-0.0534 0.0936,-0.0625 4e-5,-0.005 0.0121,-0.01 0.0268,-0.01 0.0148,0 0.0267,-0.009 0.0267,-0.02 0,-0.0109 0.009,-0.02 0.02,-0.02 0.0111,0 0.02,-0.006 0.02,-0.0134 0,-0.008 0.009,-0.0134 0.0186,-0.0134 0.0102,0 0.022,-0.009 0.0263,-0.02 0.005,-0.011 0.0164,-0.02 0.027,-0.02 0.0106,0 0.0213,-0.005 0.0238,-0.01 0.008,-0.0167 0.11532,-0.0967 0.13043,-0.0967 0.008,0 0.0141,-0.005 0.0141,-0.0105 0,-0.006 0.0195,-0.0219 0.0433,-0.0357 0.0239,-0.0138 0.0464,-0.0289 0.05,-0.0332 0.0186,-0.0225 0.11921,-0.0941 0.13202,-0.0941 0.008,0 0.0147,-0.006 0.0147,-0.0134 0,-0.008 0.009,-0.0134 0.02,-0.0134 0.0111,0 0.02,-0.006 0.02,-0.0134 0,-0.008 0.024,-0.0238 0.0533,-0.0364 0.0293,-0.0127 0.0533,-0.0307 0.0533,-0.04 0,-0.009 0.007,-0.0169 0.0143,-0.0169 0.008,0 0.0227,-0.008 0.0328,-0.0167 0.0423,-0.0379 0.059,-0.05 0.069,-0.0501 0.006,-3e-5 0.0298,-0.018 0.0533,-0.04 0.0234,-0.022 0.049,-0.04 0.0567,-0.04 0.008,0 0.0141,-0.006 0.0141,-0.0134 0,-0.008 0.009,-0.0134 0.0189,-0.0134 0.0105,0 0.0208,-0.005 0.0234,-0.01 0.007,-0.0148 0.12679,-0.0967 0.14197,-0.0967 0.007,0 0.0165,-0.009 0.0207,-0.02 0.005,-0.0111 0.0141,-0.02 0.0221,-0.02 0.008,0 0.0293,-0.015 0.0477,-0.0334 0.0183,-0.0183 0.0393,-0.0334 0.0466,-0.0334 0.007,0 0.0308,-0.018 0.0523,-0.04 0.0215,-0.022 0.047,-0.0401 0.0567,-0.0401 0.01,0 0.0262,-0.012 0.0368,-0.0267 0.0106,-0.0148 0.0269,-0.0267 0.0363,-0.0267 0.009,0 0.017,-0.006 0.017,-0.0131 0,-0.007 0.015,-0.0169 0.0334,-0.0215 0.0183,-0.005 0.0334,-0.0137 0.0334,-0.0203 0,-0.007 0.009,-0.0119 0.02,-0.0119 0.0111,0 0.02,-0.009 0.02,-0.0185 0,-0.0102 0.0105,-0.022 0.0234,-0.0263 0.0299,-0.01 0.0665,-0.0342 0.10925,-0.072 0.0186,-0.0165 0.0416,-0.03 0.0508,-0.03 0.009,0 0.0168,-0.006 0.0168,-0.0134 0,-0.008 0.009,-0.0134 0.0205,-0.0134 0.0112,0 0.0239,-0.009 0.0281,-0.02 0.005,-0.0111 0.0134,-0.02 0.0205,-0.02 0.007,0 0.0212,-0.008 0.0315,-0.0167 0.037,-0.0332 0.0537,-0.0452 0.0984,-0.0708 0.025,-0.0143 0.0695,-0.0485 0.0989,-0.076 0.0293,-0.0276 0.0613,-0.05 0.0712,-0.05 0.01,0 0.0179,-0.005 0.0179,-0.0105 0,-0.0107 0.1639,-0.12293 0.17953,-0.12293 0.005,0 0.0225,-0.015 0.0395,-0.0334 0.0305,-0.0328 0.0879,-0.046 0.0879,-0.02 0,0.008 0.009,0.0134 0.0186,0.0134 0.0102,0 0.0221,0.009 0.0263,0.02 0.005,0.0111 0.0199,0.02 0.0348,0.02 0.0149,0 0.0271,0.005 0.0271,0.0119 0,0.007 0.0211,0.0158 0.0468,0.0206 0.0257,0.005 0.0468,0.0144 0.0468,0.0215 0,0.007 0.012,0.0128 0.0267,0.0128 0.0147,0 0.0267,0.005 0.0267,0.0108 0,0.006 0.0255,0.0217 0.0567,0.035 0.0312,0.0134 0.0642,0.0336 0.0733,0.0452 0.0108,0.0135 0.0167,0.0151 0.0167,0.005 0,-0.0101 0.0102,-0.007 0.0269,0.009 0.0275,0.0256 0.0606,0.0448 0.11986,0.0693 0.0183,0.008 0.0513,0.0257 0.0733,0.0402 0.022,0.0144 0.049,0.0299 0.06,0.0343 0.0506,0.0203 0.0882,0.0403 0.10436,0.0556 0.01,0.009 0.0262,0.0167 0.0367,0.0167 0.0105,0 0.0191,0.006 0.0191,0.0134 0,0.008 0.015,0.0134 0.0334,0.0134 0.0183,0 0.0332,0.005 0.0329,0.01 -5.2e-4,0.0144 -0.0342,0.0567 -0.045,0.0567 -0.005,0 -0.0231,0.015 -0.0401,0.0334 -0.017,0.0183 -0.0352,0.0334 -0.0403,0.0334 -0.005,0 -0.0178,0.008 -0.028,0.0167 -0.0401,0.036 -0.0587,0.05 -0.0662,0.05 -0.005,0 -0.0211,0.0139 -0.0372,0.0309 -0.0162,0.017 -0.0504,0.0436 -0.0761,0.0593 -0.0257,0.0157 -0.0555,0.0409 -0.0664,0.0559 -0.0108,0.0151 -0.0272,0.0275 -0.0365,0.0275 -0.009,0 -0.0331,0.018 -0.0526,0.04 -0.0196,0.022 -0.0437,0.04 -0.0535,0.04 -0.01,0 -0.0178,0.006 -0.0178,0.0134 0,0.008 -0.008,0.0134 -0.0173,0.0134 -0.009,0 -0.0423,0.0241 -0.0729,0.0533 -0.0306,0.0293 -0.0613,0.0533 -0.0683,0.0533 -0.007,0 -0.0147,0.005 -0.0172,0.0106 -0.002,0.006 -0.0311,0.0313 -0.0636,0.0567 -0.0326,0.0254 -0.069,0.0552 -0.0811,0.0662 -0.0406,0.0371 -0.099,0.0801 -0.10895,0.0801 -0.005,0 -0.0351,0.0241 -0.066,0.0533 -0.0308,0.0293 -0.062,0.0533 -0.0691,0.0533 -0.007,0 -0.0269,0.015 -0.0439,0.0334 -0.017,0.0183 -0.0347,0.0334 -0.0391,0.0334 -0.005,0 -0.0166,0.008 -0.0269,0.0167 -0.0442,0.0396 -0.0593,0.05 -0.0724,0.05 -0.008,0 -0.0139,0.009 -0.0139,0.02 0,0.0111 -0.006,0.02 -0.014,0.02 -0.008,0 -0.0302,0.015 -0.0499,0.0334 -0.0198,0.0183 -0.0436,0.0334 -0.0528,0.0334 -0.009,0 -0.0168,0.009 -0.0168,0.02 0,0.0111 -0.008,0.02 -0.018,0.02 -0.01,0 -0.0397,0.0211 -0.066,0.0468 -0.0264,0.0257 -0.0537,0.0468 -0.0604,0.0468 -0.007,0 -0.0355,0.0212 -0.064,0.0473 -0.0283,0.026 -0.0652,0.0506 -0.0818,0.0548 -0.0166,0.005 -0.0301,0.0159 -0.0301,0.0261 0,0.0102 -0.007,0.0186 -0.0144,0.0186 -0.008,0 -0.0382,0.024 -0.0672,0.0533 -0.0291,0.0293 -0.0594,0.0533 -0.0675,0.0533 -0.008,0 -0.0285,0.015 -0.0455,0.0334 -0.017,0.0183 -0.0361,0.0334 -0.0426,0.0334 -0.006,0 -0.0257,0.015 -0.043,0.0334 -0.0172,0.0183 -0.0368,0.0334 -0.0434,0.0334 -0.007,0 -0.0307,0.0186 -0.0535,0.0415 -0.0228,0.0228 -0.0644,0.0566 -0.0924,0.0752 -0.028,0.0185 -0.051,0.0389 -0.051,0.0452 0,0.006 -0.009,0.0115 -0.02,0.0115 -0.011,0 -0.02,0.005 -0.02,0.0105 0,0.006 -0.0165,0.0205 -0.0368,0.033 -0.0202,0.0123 -0.0577,0.0406 -0.0834,0.0627 -0.0759,0.0655 -0.0783,0.0673 -0.0928,0.0673 -0.008,0 -0.014,0.006 -0.014,0.0125 0,0.007 -0.0121,0.0163 -0.0269,0.0209 -0.0148,0.005 -0.0235,0.0141 -0.0193,0.0209 0.005,0.007 -0.002,0.0124 -0.0132,0.0124 -0.0115,0 -0.0208,0.006 -0.0208,0.0137 0,0.008 -0.015,0.0193 -0.0334,0.0264 -0.0183,0.007 -0.0334,0.0188 -0.0334,0.0264 0,0.008 -0.009,0.0137 -0.02,0.0137 -0.0111,0 -0.02,0.006 -0.02,0.0134 0,0.008 -0.006,0.0134 -0.014,0.0134 -0.008,0 -0.0301,0.0151 -0.0499,0.0334 -0.0198,0.0183 -0.0436,0.0334 -0.0528,0.0334 -0.009,0 -0.0168,0.009 -0.0168,0.02 0,0.0111 -0.009,0.02 -0.0186,0.02 -0.0102,0 -0.0221,0.009 -0.0263,0.02 -0.005,0.011 -0.0203,0.02 -0.0356,0.02 -0.0154,0 -0.0244,0.006 -0.0202,0.0124 0.005,0.007 -0.0105,0.0232 -0.0326,0.0362 -0.0221,0.0131 -0.0403,0.0285 -0.0403,0.0342 0,0.006 -0.009,0.0105 -0.02,0.0105 -0.0111,0 -0.02,0.005 -0.02,0.0111 0,0.006 -0.0285,0.0314 -0.0633,0.0562 -0.0348,0.0248 -0.0694,0.0517 -0.0767,0.0597 -0.0243,0.0267 -0.11139,0.0865 -0.12587,0.0865 -0.008,0 -0.0142,0.009 -0.0142,0.02 0,0.0109 -0.007,0.02 -0.0151,0.02 -0.009,0 -0.029,0.015 -0.0461,0.0334 -0.017,0.0183 -0.0375,0.0334 -0.0455,0.0334 -0.008,0 -0.0285,0.0151 -0.0455,0.0334 -0.017,0.0183 -0.0347,0.0334 -0.0393,0.0334 -0.009,0 -0.0607,0.0417 -0.10427,0.0834 -0.0135,0.0128 -0.0304,0.0234 -0.0377,0.0234 -0.008,0 -0.0134,0.006 -0.0134,0.0131 0,0.007 -0.015,0.0169 -0.0334,0.0215 -0.0183,0.005 -0.0334,0.0137 -0.0334,0.0203 0,0.007 -0.009,0.0119 -0.02,0.0119 -0.0111,0 -0.02,0.007 -0.02,0.0143 0,0.0185 -0.0339,0.0524 -0.0524,0.0524 -0.008,0 -0.0143,0.006 -0.0143,0.0137 0,0.008 -0.015,0.0193 -0.0334,0.0263 -0.0183,0.007 -0.0334,0.0189 -0.0334,0.0264 0,0.008 -0.007,0.0137 -0.0151,0.0137 -0.009,0 -0.0293,0.0154 -0.0468,0.0341 -0.0173,0.0187 -0.0315,0.0311 -0.0315,0.0274 0,-0.003 -0.0193,0.0111 -0.043,0.0327 -0.0236,0.0216 -0.0474,0.0393 -0.0528,0.0393 -0.005,0 -0.0343,0.024 -0.0643,0.0533 -0.0299,0.0293 -0.061,0.0533 -0.0691,0.0533 -0.008,0 -0.0285,0.015 -0.0455,0.0334 -0.017,0.0183 -0.0345,0.0334 -0.0388,0.0334 -0.005,0 -0.0241,0.0151 -0.0439,0.0334 -0.0198,0.0183 -0.0435,0.0334 -0.0528,0.0334 -0.009,0 -0.0168,0.009 -0.0168,0.02 0,0.0111 -0.009,0.02 -0.02,0.02 -0.0111,0 -0.02,0.005 -0.02,0.0102 0,0.0102 -0.0396,0.0343 -0.0834,0.0509 -0.0128,0.005 -0.0234,0.0145 -0.0234,0.0215 0,0.0172 -0.0347,0.0509 -0.0524,0.0509 -0.008,0 -0.0143,0.009 -0.0143,0.0185 0,0.0101 -0.0105,0.0225 -0.0234,0.0272 -0.0438,0.0165 -0.0834,0.0406 -0.0834,0.0509 0,0.006 -0.007,0.0102 -0.0151,0.0102 -0.009,0 -0.028,0.0138 -0.0437,0.0307 -0.0157,0.017 -0.0389,0.0348 -0.0516,0.0397 -0.0127,0.005 -0.023,0.0151 -0.023,0.0226 0,0.0281 -0.0363,0.0121 -0.0902,-0.0396 z m -4.80688,-0.51843 c 0,-0.006 -0.0595,-0.0718 -0.13233,-0.14566 -0.0728,-0.0739 -0.12882,-0.13779 -0.12454,-0.14208 0.005,-0.005 0.002,-0.008 -0.007,-0.008 -0.0182,0 -0.10368,-0.083 -0.0996,-0.0967 0.002,-0.005 -0.002,-0.009 -0.007,-0.007 -0.0111,0.003 -0.0967,-0.0745 -0.0967,-0.0882 0,-0.0151 -0.0509,-0.06 -0.0589,-0.052 -0.005,0.005 -0.008,-0.002 -0.008,-0.0144 0,-0.0122 -0.007,-0.0222 -0.0143,-0.0222 -0.0185,0 -0.0524,-0.0339 -0.0524,-0.0524 0,-0.008 -0.009,-0.0143 -0.02,-0.0143 -0.0109,0 -0.02,-0.005 -0.02,-0.0115 0,-0.006 -0.0156,-0.027 -0.0345,-0.0461 -0.0368,-0.0368 -0.0336,-0.0566 0.0125,-0.0766 0.0352,-0.0154 0.0749,-0.0404 0.0992,-0.0626 0.01,-0.009 0.0268,-0.0167 0.0372,-0.0167 0.0105,0 0.0191,-0.005 0.0191,-0.0101 0,-0.005 0.0285,-0.0237 0.0633,-0.0404 0.0754,-0.0361 0.10607,-0.0548 0.14245,-0.0868 0.0149,-0.0131 0.0407,-0.0273 0.0575,-0.0315 0.0166,-0.005 0.0303,-0.012 0.0303,-0.0174 0,-0.005 0.024,-0.0212 0.0532,-0.0353 0.0293,-0.0141 0.0532,-0.0293 0.0533,-0.0341 10e-5,-0.005 0.0151,-0.0123 0.0335,-0.017 0.0183,-0.005 0.0334,-0.0143 0.0334,-0.0215 0,-0.007 0.0144,-0.0131 0.0319,-0.0131 0.0176,0 0.0354,-0.009 0.0396,-0.02 0.005,-0.0111 0.0199,-0.02 0.0348,-0.02 0.0149,0 0.0271,-0.005 0.0271,-0.0118 0,-0.007 0.0105,-0.0154 0.0234,-0.0196 0.0267,-0.009 0.0672,-0.0343 0.0938,-0.0587 0.01,-0.009 0.0268,-0.0167 0.0373,-0.0167 0.0105,0 0.0191,-0.006 0.0191,-0.0134 0,-0.008 0.0153,-0.0134 0.0341,-0.0134 0.0208,0 0.0307,-0.006 0.0254,-0.0142 -0.005,-0.008 0.003,-0.0176 0.0192,-0.0215 0.0154,-0.005 0.028,-0.012 0.028,-0.0177 0,-0.006 0.015,-0.0141 0.0334,-0.0186 0.0183,-0.005 0.0334,-0.0143 0.0334,-0.0215 0,-0.007 0.009,-0.0131 0.021,-0.0131 0.0115,0 0.0293,-0.008 0.0396,-0.0167 0.0483,-0.0433 0.062,-0.0519 0.0863,-0.0537 0.0143,-7.6e-4 0.029,-0.01 0.0326,-0.0192 0.003,-0.009 0.0158,-0.0172 0.0271,-0.0172 0.0112,0 0.0205,-0.006 0.0205,-0.0134 0,-0.008 0.0122,-0.0134 0.0271,-0.0134 0.0149,0 0.0306,-0.009 0.0348,-0.02 0.005,-0.011 0.019,-0.02 0.0329,-0.02 0.0139,0 0.0253,-0.006 0.0253,-0.0131 0,-0.007 0.015,-0.0169 0.0334,-0.0215 0.0183,-0.005 0.0334,-0.0137 0.0334,-0.0203 0,-0.007 0.009,-0.0119 0.0184,-0.0119 0.0101,0 0.0259,-0.009 0.035,-0.02 0.009,-0.011 0.0254,-0.02 0.036,-0.02 0.0106,0 0.0277,-0.008 0.0379,-0.0167 0.0397,-0.0356 0.0588,-0.05 0.0659,-0.05 0.005,0 0.0312,-0.0149 0.0601,-0.0332 0.0289,-0.0183 0.0596,-0.0348 0.0682,-0.0368 0.009,-0.002 0.0309,-0.0172 0.0496,-0.0339 0.0186,-0.0167 0.0479,-0.0338 0.0649,-0.0382 0.017,-0.005 0.0311,-0.0132 0.0311,-0.0197 0,-0.007 0.0122,-0.0119 0.0274,-0.0119 0.0151,0 0.0423,-0.015 0.0606,-0.0334 0.0183,-0.0183 0.0452,-0.0334 0.0594,-0.0334 0.0144,0 0.0261,-0.006 0.0261,-0.0125 0,-0.007 0.0133,-0.0166 0.0294,-0.0218 0.0162,-0.005 0.0376,-0.0176 0.0477,-0.0276 0.01,-0.01 0.0268,-0.0182 0.0374,-0.0182 0.0105,0 0.0191,-0.006 0.0191,-0.0134 0,-0.008 0.015,-0.0134 0.0334,-0.0134 0.0207,0 0.0334,-0.008 0.0334,-0.02 0,-0.0112 0.0119,-0.02 0.0267,-0.02 0.0147,0 0.0267,-0.005 0.0267,-0.0118 0,-0.007 0.0105,-0.0154 0.0234,-0.0196 0.0321,-0.0108 0.0698,-0.0357 0.12907,-0.0854 0.0109,-0.009 0.0264,-0.0167 0.0343,-0.0167 0.0133,0 0.0783,-0.0369 0.0935,-0.0532 0.003,-0.005 0.0306,-0.019 0.0598,-0.0336 0.0293,-0.0147 0.0612,-0.0341 0.071,-0.0432 0.01,-0.009 0.0264,-0.0167 0.0369,-0.0167 0.0105,0 0.0191,-0.006 0.0191,-0.0134 0,-0.008 0.009,-0.0134 0.0186,-0.0134 0.0102,0 0.022,-0.009 0.0263,-0.02 0.005,-0.0109 0.0199,-0.02 0.0348,-0.02 0.0149,0 0.0271,-0.006 0.0271,-0.0134 0,-0.008 0.0116,-0.0134 0.0258,-0.0134 0.0142,0 0.0299,-0.006 0.0347,-0.0141 0.005,-0.008 0.0217,-0.0198 0.0375,-0.0267 0.0352,-0.0153 0.075,-0.0404 0.0992,-0.0626 0.01,-0.009 0.0256,-0.0167 0.0348,-0.0167 0.009,0 0.0286,-0.0112 0.0432,-0.0248 0.0148,-0.0137 0.0504,-0.036 0.0793,-0.0495 0.029,-0.0136 0.0604,-0.0324 0.0702,-0.0419 0.01,-0.009 0.0262,-0.0172 0.0367,-0.0172 0.0105,0 0.0191,-0.006 0.0191,-0.0134 0,-0.008 0.009,-0.0134 0.0184,-0.0134 0.0101,0 0.0258,-0.009 0.035,-0.02 0.009,-0.0111 0.0279,-0.02 0.0417,-0.02 0.0137,0 0.025,-0.006 0.025,-0.0131 0,-0.007 0.0151,-0.0169 0.0334,-0.0215 0.0183,-0.005 0.0334,-0.0122 0.0335,-0.017 10e-5,-0.005 0.0241,-0.02 0.0533,-0.0341 0.0293,-0.0141 0.0532,-0.0306 0.0532,-0.0367 0,-0.006 0.0121,-0.0112 0.0271,-0.0112 0.0149,0 0.0306,-0.009 0.0348,-0.02 0.005,-0.0111 0.0169,-0.02 0.0281,-0.02 0.0112,0 0.0276,-0.01 0.0363,-0.0217 0.0319,-0.0436 0.12628,-0.0125 0.19549,0.0644 0.0118,0.0132 0.0281,0.024 0.0361,0.024 0.008,0 0.0192,0.009 0.0251,0.0183 0.006,0.01 0.0302,0.0282 0.054,0.0404 0.0239,0.0122 0.0434,0.027 0.0434,0.0331 0,0.01 0.0449,0.0355 0.0701,0.04 0.005,7.7e-4 0.0215,0.0123 0.0357,0.0251 0.0484,0.0439 0.0665,0.0567 0.0805,0.0567 0.008,0 0.014,0.006 0.014,0.0134 0,0.008 0.006,0.0134 0.0134,0.0134 0.008,0 0.0249,0.0106 0.039,0.0234 0.0484,0.0439 0.0665,0.0567 0.0805,0.0567 0.008,0 0.0139,0.006 0.0139,0.0134 0,0.008 0.009,0.0134 0.0205,0.0134 0.0112,0 0.0239,0.009 0.0281,0.02 0.005,0.0111 0.0133,0.02 0.0203,0.02 0.007,0 0.025,0.0116 0.0403,0.026 0.0239,0.0222 0.0251,0.0284 0.009,0.0434 -0.0271,0.025 -0.0675,0.0503 -0.0945,0.0594 -0.0128,0.005 -0.0234,0.0119 -0.0234,0.0166 0,0.005 -0.0225,0.0205 -0.05,0.035 -0.0275,0.0144 -0.0548,0.0339 -0.0607,0.0431 -0.006,0.009 -0.0223,0.0168 -0.0367,0.0168 -0.0143,0 -0.026,0.005 -0.026,0.0118 0,0.007 -0.0105,0.0154 -0.0234,0.0196 -0.0267,0.009 -0.0672,0.0343 -0.0938,0.0587 -0.01,0.009 -0.0268,0.0167 -0.0372,0.0167 -0.0105,0 -0.0191,0.006 -0.0191,0.0134 0,0.008 -0.009,0.0134 -0.02,0.0134 -0.0111,0 -0.02,0.009 -0.02,0.02 0,0.0111 -0.0118,0.02 -0.026,0.02 -0.0143,0 -0.0308,0.008 -0.0368,0.0174 -0.006,0.01 -0.0332,0.0278 -0.0607,0.0406 -0.0276,0.0128 -0.0501,0.0275 -0.0502,0.0326 -1.1e-4,0.01 -0.064,0.0427 -0.0831,0.0427 -0.0113,0 -0.0307,0.0141 -0.0765,0.0554 -0.0134,0.0121 -0.046,0.0298 -0.0724,0.0393 -0.0264,0.009 -0.048,0.0221 -0.048,0.0277 0,0.006 -0.0241,0.0227 -0.0533,0.0376 -0.0293,0.015 -0.0533,0.0332 -0.0533,0.0403 0,0.007 -0.0114,0.0131 -0.0253,0.0131 -0.0139,0 -0.0286,0.009 -0.0329,0.02 -0.005,0.0111 -0.0169,0.02 -0.0281,0.02 -0.0112,0 -0.0204,0.006 -0.0204,0.0131 0,0.007 -0.015,0.0169 -0.0334,0.0215 -0.0183,0.005 -0.0334,0.0137 -0.0334,0.0203 0,0.007 -0.009,0.0119 -0.02,0.0119 -0.0111,0 -0.02,0.005 -0.02,0.0119 0,0.007 -0.015,0.0157 -0.0334,0.0203 -0.0183,0.005 -0.0334,0.0143 -0.0334,0.0215 0,0.007 -0.007,0.0131 -0.0143,0.0131 -0.008,0 -0.0227,0.008 -0.0328,0.0167 -0.0464,0.0416 -0.0597,0.05 -0.0795,0.05 -0.0115,0 -0.0244,0.009 -0.0286,0.02 -0.005,0.0111 -0.0191,0.02 -0.033,0.02 -0.0138,0 -0.0253,0.006 -0.0253,0.0134 0,0.008 -0.008,0.0134 -0.0168,0.0134 -0.009,0 -0.033,0.0151 -0.0529,0.0334 -0.0198,0.0183 -0.0418,0.0334 -0.049,0.0334 -0.007,0 -0.0209,0.008 -0.0306,0.0167 -0.01,0.009 -0.0415,0.0287 -0.0708,0.0433 -0.0293,0.0147 -0.0605,0.0327 -0.0696,0.04 -0.009,0.008 -0.0254,0.0208 -0.0363,0.03 -0.0109,0.009 -0.0255,0.0167 -0.0324,0.0167 -0.007,0 -0.0159,0.009 -0.0202,0.02 -0.005,0.0111 -0.0173,0.02 -0.0291,0.02 -0.0118,0 -0.0298,0.008 -0.04,0.0167 -0.0462,0.0415 -0.0597,0.05 -0.079,0.05 -0.0113,0 -0.0206,0.006 -0.0206,0.0131 0,0.007 -0.015,0.0169 -0.0334,0.0215 -0.0183,0.005 -0.0334,0.013 -0.0334,0.0186 0,0.006 -0.0105,0.0139 -0.0234,0.0183 -0.0244,0.009 -0.072,0.0365 -0.0834,0.0497 -0.003,0.005 -0.0275,0.0192 -0.053,0.0334 -0.0499,0.0277 -0.058,0.0332 -0.10414,0.0711 -0.0167,0.0137 -0.0497,0.0328 -0.0733,0.0426 -0.0236,0.01 -0.0495,0.0239 -0.0574,0.0315 -0.008,0.008 -0.0424,0.0316 -0.0767,0.0533 -0.0343,0.0217 -0.0623,0.0442 -0.0623,0.05 0,0.006 -0.0114,0.0107 -0.0253,0.0107 -0.0139,0 -0.0287,0.009 -0.033,0.02 -0.005,0.0111 -0.0199,0.02 -0.0348,0.02 -0.0149,0 -0.0271,0.006 -0.0271,0.0134 0,0.008 -0.009,0.0134 -0.0193,0.0134 -0.0106,0 -0.0246,0.009 -0.0309,0.0206 -0.006,0.0114 -0.0247,0.0216 -0.0406,0.0228 -0.016,0.002 -0.0291,0.0103 -0.0291,0.0202 0,0.01 -0.006,0.0142 -0.0135,0.01 -0.008,-0.005 -0.017,7.7e-4 -0.0214,0.0126 -0.005,0.0115 -0.0193,0.0209 -0.0333,0.0209 -0.0139,0 -0.0253,0.009 -0.0253,0.02 0,0.0109 -0.009,0.02 -0.0202,0.02 -0.0247,0 -0.0764,0.0279 -0.0897,0.0485 -0.005,0.009 -0.0249,0.019 -0.0434,0.0236 -0.0184,0.005 -0.0335,0.0143 -0.0335,0.0215 0,0.007 -0.009,0.0131 -0.0208,0.0131 -0.0115,0 -0.0171,0.006 -0.0126,0.0134 0.005,0.008 -0.005,0.0134 -0.0196,0.0134 -0.0154,0 -0.0309,0.008 -0.0345,0.0172 -0.003,0.009 -0.0334,0.029 -0.0662,0.0434 -0.0328,0.0144 -0.0597,0.0306 -0.0597,0.0362 -6e-5,0.005 -0.009,0.01 -0.0211,0.01 -0.0115,0 -0.0293,0.008 -0.0396,0.0167 -0.039,0.0349 -0.0587,0.05 -0.0652,0.05 -0.007,0 -0.12791,0.0802 -0.14105,0.0934 -0.003,0.003 -0.0292,0.0182 -0.0567,0.0321 -0.0275,0.014 -0.05,0.0299 -0.05,0.0353 0,0.005 -0.015,0.0136 -0.0334,0.0182 -0.0183,0.005 -0.0334,0.0143 -0.0334,0.0215 0,0.007 -0.009,0.0131 -0.02,0.0131 -0.0111,0 -0.02,0.006 -0.02,0.0131 0,0.007 -0.015,0.0169 -0.0334,0.0215 -0.0183,0.005 -0.0334,0.0137 -0.0334,0.0203 0,0.007 -0.012,0.0119 -0.0267,0.0119 -0.0147,0 -0.0267,-0.005 -0.0267,-0.0114 z m 8.3197,-0.0215 c -0.0147,-0.0179 -0.0365,-0.0328 -0.0487,-0.0332 -0.0121,-2.7e-4 -0.0254,-0.01 -0.0296,-0.0206 -0.005,-0.0111 -0.0143,-0.02 -0.0225,-0.02 -0.008,0 -0.0231,-0.008 -0.0333,-0.0167 -0.0442,-0.0396 -0.0593,-0.05 -0.0724,-0.05 -0.008,0 -0.0138,-0.006 -0.0138,-0.0134 0,-0.008 -0.009,-0.0134 -0.0186,-0.0134 -0.0102,0 -0.022,-0.009 -0.0263,-0.02 -0.005,-0.011 -0.0154,-0.0201 -0.0248,-0.0202 -0.009,-1.1e-4 -0.0381,-0.0181 -0.0638,-0.0399 -0.0257,-0.0219 -0.0539,-0.0457 -0.0628,-0.0532 -0.009,-0.008 -0.0223,-0.0135 -0.03,-0.0135 -0.008,0 -0.0139,-0.005 -0.0139,-0.0119 0,-0.007 -0.0135,-0.0154 -0.03,-0.0197 -0.0165,-0.005 -0.0474,-0.0229 -0.0688,-0.0414 -0.0213,-0.0186 -0.0441,-0.0338 -0.0506,-0.0338 -0.007,0 -0.0258,-0.0151 -0.0428,-0.0334 -0.017,-0.0183 -0.0352,-0.0334 -0.0403,-0.0334 -0.005,0 -0.0178,-0.008 -0.028,-0.0167 -0.0453,-0.0406 -0.0595,-0.0501 -0.0757,-0.0503 -0.009,-9e-5 -0.0361,-0.0166 -0.0592,-0.0367 -0.0231,-0.02 -0.0554,-0.0455 -0.0717,-0.0565 -0.0163,-0.0111 -0.0375,-0.0276 -0.0471,-0.0367 -0.01,-0.009 -0.0239,-0.0167 -0.0318,-0.0167 -0.008,0 -0.0143,-0.012 -0.0143,-0.0267 0,-0.0147 0.007,-0.0267 0.0144,-0.0267 0.008,0 0.0318,-0.0165 0.0529,-0.0368 0.0596,-0.0567 0.0771,-0.0701 0.0922,-0.0701 0.008,0 0.014,-0.009 0.014,-0.02 0,-0.0111 0.009,-0.02 0.02,-0.02 0.0111,0 0.02,-0.006 0.02,-0.0141 0,-0.008 0.006,-0.0106 0.0125,-0.006 0.007,0.005 0.0187,-0.002 0.0263,-0.0158 0.008,-0.013 0.014,-0.0187 0.0141,-0.0127 2.1e-4,0.006 0.0206,-0.0105 0.0454,-0.0367 0.0247,-0.0262 0.0517,-0.0477 0.0601,-0.0477 0.009,0 0.0151,-0.009 0.0151,-0.02 0,-0.0111 0.005,-0.0185 0.0103,-0.0167 0.006,0.002 0.028,-0.0132 0.0499,-0.0334 0.0219,-0.0203 0.0467,-0.0367 0.0553,-0.0367 0.009,0 0.0177,-0.005 0.0203,-0.0101 0.002,-0.005 0.0314,-0.0306 0.0645,-0.0558 0.0331,-0.0251 0.0728,-0.0596 0.0883,-0.0766 0.0155,-0.017 0.0345,-0.0309 0.0423,-0.0309 0.008,0 0.016,-0.005 0.0184,-0.0105 0.002,-0.006 0.0308,-0.0313 0.0631,-0.0567 0.0323,-0.0254 0.0831,-0.0688 0.11283,-0.0962 0.0298,-0.0275 0.0598,-0.05 0.0666,-0.05 0.007,0 0.0263,-0.015 0.0433,-0.0334 0.017,-0.0183 0.0373,-0.0334 0.0448,-0.0334 0.008,0 0.014,-0.009 0.014,-0.0208 0,-0.0115 0.006,-0.017 0.0135,-0.0125 0.008,0.005 0.017,-7.6e-4 0.0214,-0.0125 0.005,-0.0114 0.0121,-0.0183 0.017,-0.0152 0.005,0.003 0.0477,-0.0299 0.0949,-0.0734 0.0473,-0.0435 0.0981,-0.0791 0.11302,-0.0793 0.0223,-1.6e-4 0.0236,-0.002 0.007,-0.0131 -0.0178,-0.0114 -0.0178,-0.013 0,-0.0134 0.0109,-2e-4 0.053,-0.0303 0.0934,-0.0669 0.0403,-0.0366 0.0839,-0.0699 0.0968,-0.0742 0.0128,-0.005 0.0234,-0.0133 0.0234,-0.0201 0,-0.007 0.006,-0.0125 0.0134,-0.0125 0.008,0 0.0243,-0.0105 0.0377,-0.0234 0.0413,-0.0396 0.0955,-0.0834 0.10309,-0.0834 0.005,0 0.0212,-0.015 0.0381,-0.0334 0.017,-0.0183 0.0377,-0.0334 0.0461,-0.0334 0.009,0 0.0151,-0.009 0.0151,-0.02 0,-0.011 0.009,-0.02 0.0206,-0.02 0.0114,0 0.0346,-0.015 0.0516,-0.0334 0.017,-0.0183 0.0345,-0.0334 0.039,-0.0334 0.005,0 0.0277,-0.0183 0.0518,-0.0405 0.0241,-0.0222 0.0599,-0.0553 0.0797,-0.0733 0.0197,-0.018 0.0392,-0.0329 0.0432,-0.0329 0.005,0 0.021,-0.0116 0.0375,-0.0259 0.0928,-0.0798 0.11101,-0.0942 0.11918,-0.0942 0.005,-1e-5 0.026,-0.0166 0.0467,-0.0369 0.0207,-0.0203 0.0647,-0.0578 0.0978,-0.0833 0.0331,-0.0255 0.0621,-0.051 0.0645,-0.0565 0.002,-0.005 0.0102,-0.0101 0.0173,-0.0101 0.007,0 0.0268,-0.0135 0.0439,-0.03 0.0434,-0.0419 0.0867,-0.0767 0.0956,-0.0767 0.005,0 0.0158,-0.008 0.0261,-0.0167 0.0465,-0.0417 0.0598,-0.05 0.0798,-0.05 0.0118,0 0.018,-0.005 0.0141,-0.0119 -0.005,-0.007 0.009,-0.0225 0.0283,-0.0353 0.0196,-0.0128 0.0587,-0.0461 0.0866,-0.0738 0.028,-0.0277 0.051,-0.0448 0.051,-0.0381 0,0.007 0.0115,0.0123 0.0257,0.0123 0.0141,0 0.0338,0.008 0.0436,0.0167 0.01,0.009 0.0418,0.0286 0.071,0.0432 0.0293,0.0147 0.0562,0.0297 0.0598,0.0336 0.0182,0.0193 0.0815,0.0532 0.0996,0.0532 0.0113,0 0.0205,0.005 0.0205,0.0119 0,0.007 0.015,0.0157 0.0334,0.0203 0.0183,0.005 0.0334,0.0143 0.0334,0.0215 0,0.007 0.01,0.0131 0.0216,0.0131 0.024,0 0.18258,0.0809 0.18962,0.0967 0.002,0.005 0.0159,0.01 0.03,0.01 0.014,0 0.0256,0.006 0.0256,0.0134 0,0.008 0.012,0.0134 0.0267,0.0134 0.0147,0 0.0267,0.007 0.0267,0.0156 0,0.009 0.003,0.0119 0.008,0.008 0.005,-0.005 0.021,0.005 0.0368,0.0188 0.0157,0.0147 0.0451,0.0301 0.0653,0.0342 0.0202,0.005 0.0368,0.0118 0.0368,0.0173 0,0.005 0.03,0.0241 0.0667,0.0415 0.0367,0.0174 0.0667,0.0363 0.0667,0.0419 0,0.006 0.0165,0.0104 0.0367,0.0106 l 0.0367,5.2e-4 -0.0367,0.0322 c -0.0202,0.0178 -0.0367,0.0386 -0.0367,0.0462 0,0.008 -0.006,0.014 -0.0138,0.014 -0.008,0 -0.0301,0.0166 -0.0501,0.0369 -0.0199,0.0203 -0.0603,0.0549 -0.0896,0.0767 -0.0709,0.0529 -0.0867,0.0685 -0.0867,0.0855 0,0.008 -0.007,0.0143 -0.0147,0.0143 -0.008,0 -0.0265,0.015 -0.041,0.0334 -0.0144,0.0183 -0.0348,0.0334 -0.0453,0.0334 -0.0105,0 -0.0191,0.007 -0.0191,0.0143 0,0.015 -0.0326,0.0524 -0.0456,0.0524 -0.008,0 -0.0614,0.0432 -0.10342,0.0834 -0.0134,0.0128 -0.0304,0.0234 -0.0377,0.0234 -0.008,0 -0.0134,0.009 -0.0134,0.02 0,0.011 -0.006,0.02 -0.0142,0.02 -0.008,0 -0.0333,0.0196 -0.0567,0.0435 -0.0234,0.024 -0.0634,0.0591 -0.0892,0.0783 -0.0257,0.019 -0.0715,0.0594 -0.10183,0.0898 -0.0303,0.0304 -0.0618,0.0552 -0.0701,0.0552 -0.009,0 -0.0149,0.009 -0.0149,0.02 0,0.0116 -0.0121,0.02 -0.029,0.02 -0.0159,0 -0.0254,0.003 -0.0212,0.008 0.0105,0.0104 -0.14918,0.16569 -0.17027,0.16569 -0.003,0 -0.0458,0.039 -0.0938,0.0867 -0.048,0.0477 -0.0902,0.0867 -0.094,0.0867 -0.003,0 -0.0208,0.0135 -0.0379,0.03 -0.0509,0.0491 -0.0873,0.0767 -0.1013,0.0767 -0.007,0 -0.0132,0.007 -0.0132,0.0143 0,0.0167 -0.0332,0.0523 -0.049,0.0527 -0.006,1.5e-4 -0.0455,0.0332 -0.0877,0.0734 -0.0422,0.0403 -0.0795,0.0731 -0.0828,0.0731 -0.003,0 -0.0264,0.021 -0.0513,0.0467 -0.0249,0.0257 -0.0523,0.0468 -0.0607,0.0468 -0.009,0 -0.0154,0.006 -0.0154,0.0128 0,0.014 -0.074,0.0939 -0.087,0.0939 -0.005,0 -0.027,0.0179 -0.0505,0.04 -0.0235,0.022 -0.0476,0.0399 -0.0536,0.04 -0.0178,1e-4 -0.0486,0.0361 -0.039,0.0458 0.005,0.005 -0.003,0.0121 -0.019,0.0161 -0.0154,0.005 -0.0355,0.0218 -0.045,0.0395 -0.009,0.0177 -0.0253,0.0322 -0.035,0.0322 -0.01,0 -0.0177,0.006 -0.0177,0.0134 0,0.008 -0.009,0.0134 -0.02,0.0134 -0.0111,0 -0.02,0.009 -0.02,0.019 0,0.0105 -0.005,0.0208 -0.0118,0.0234 -0.014,0.005 -0.11677,0.0878 -0.15108,0.12121 -0.0132,0.0128 -0.0271,0.0234 -0.0311,0.0234 -0.005,0 -0.0242,0.0165 -0.0452,0.0367 -0.0824,0.0796 -0.15021,0.13678 -0.1621,0.13678 -0.007,0 -0.0125,0.009 -0.0125,0.02 0,0.0109 -0.006,0.02 -0.0134,0.02 -0.008,0 -0.0489,0.0361 -0.0923,0.08 -0.0433,0.044 -0.0898,0.08 -0.10332,0.08 -0.0134,-1e-4 -0.0364,-0.0148 -0.0512,-0.0327 z m -9.30545,-1.00488 c -0.0234,-0.009 -0.0603,-0.0451 -0.0893,-0.0893 -0.0125,-0.0191 -0.0249,-0.0325 -0.0277,-0.0296 -0.007,0.007 -0.17819,-0.16457 -0.17819,-0.17825 0,-0.006 -0.0121,-0.0148 -0.0269,-0.0194 -0.0148,-0.005 -0.0235,-0.0141 -0.0192,-0.0209 0.005,-0.007 -0.002,-0.0124 -0.0124,-0.0124 -0.0111,0 -0.0306,-0.018 -0.0437,-0.04 -0.013,-0.022 -0.0324,-0.0401 -0.043,-0.0401 -0.0106,0 -0.016,-0.003 -0.012,-0.008 0.005,-0.005 -0.0301,-0.0459 -0.0761,-0.0929 -0.0459,-0.0471 -0.0808,-0.0882 -0.0776,-0.0915 0.003,-0.003 -0.007,-0.01 -0.0219,-0.0147 -0.026,-0.009 -0.0263,-0.0102 -0.005,-0.0312 0.0123,-0.0123 0.0267,-0.0225 0.0319,-0.0225 0.005,0 0.0347,-0.0165 0.0655,-0.0367 0.0308,-0.0203 0.0646,-0.0368 0.0748,-0.0368 0.0104,0 0.0189,-0.005 0.0189,-0.0121 0,-0.007 0.0331,-0.0257 0.0733,-0.0425 0.0403,-0.0167 0.0733,-0.0353 0.0733,-0.0413 0,-0.006 0.012,-0.0109 0.0267,-0.0109 0.0147,0 0.0267,-0.005 0.0268,-0.01 1.6e-4,-0.0154 0.0788,-0.0567 0.10774,-0.0567 0.0141,0 0.0256,-0.005 0.0256,-0.0112 0,-0.006 0.0331,-0.0251 0.0733,-0.0422 0.0403,-0.017 0.0733,-0.0361 0.0733,-0.0423 0,-0.006 0.012,-0.0112 0.0267,-0.0112 0.0147,0 0.0267,-0.005 0.0267,-0.0109 0,-0.006 0.0285,-0.0244 0.0633,-0.041 0.12095,-0.0574 0.19013,-0.0971 0.19013,-0.1094 0,-0.007 0.015,-0.0123 0.0334,-0.0123 0.0183,0 0.0334,-0.005 0.0334,-0.0118 0,-0.007 0.0105,-0.0154 0.0234,-0.0196 0.0264,-0.009 0.0733,-0.0374 0.0836,-0.051 0.003,-0.005 0.0233,-0.0131 0.0434,-0.0181 0.0201,-0.005 0.0366,-0.0145 0.0366,-0.0211 0,-0.007 0.009,-0.0119 0.0184,-0.0119 0.0101,0 0.0258,-0.009 0.035,-0.02 0.009,-0.0111 0.0271,-0.02 0.04,-0.02 0.0128,0 0.0309,-0.009 0.04,-0.02 0.009,-0.0109 0.0279,-0.02 0.0417,-0.02 0.0137,0 0.025,-0.006 0.025,-0.0134 0,-0.008 0.009,-0.0134 0.02,-0.0134 0.0111,0 0.02,-0.006 0.02,-0.0125 0,-0.007 0.0135,-0.0164 0.03,-0.0211 0.0568,-0.0163 0.11675,-0.0478 0.11675,-0.0613 0,-0.008 0.005,-0.0101 0.0122,-0.006 0.007,0.005 0.0203,4e-5 0.03,-0.009 0.01,-0.009 0.0477,-0.0313 0.0845,-0.049 0.0368,-0.0177 0.0697,-0.036 0.0733,-0.0405 0.003,-0.005 0.0487,-0.0296 0.10008,-0.0556 0.15823,-0.0803 0.20666,-0.10734 0.21435,-0.11976 0.005,-0.007 0.0221,-0.012 0.04,-0.012 0.0179,0 0.0326,-0.006 0.0326,-0.0131 0,-0.007 0.015,-0.0169 0.0334,-0.0215 0.0183,-0.005 0.0334,-0.0137 0.0334,-0.0203 0,-0.007 0.012,-0.0119 0.0267,-0.0119 0.0147,0 0.0267,-0.005 0.0267,-0.0109 0,-0.006 0.0296,-0.0237 0.0656,-0.0395 0.0361,-0.0157 0.0694,-0.0349 0.0741,-0.0426 0.005,-0.008 0.0205,-0.0138 0.0349,-0.0138 0.0144,0 0.0298,-0.009 0.034,-0.02 0.005,-0.0111 0.0155,-0.02 0.0251,-0.02 0.01,0 0.0196,-0.005 0.0219,-0.01 0.006,-0.0136 0.14712,-0.0839 0.1679,-0.0836 0.009,9e-5 0.0167,-0.006 0.0167,-0.0128 0,-0.007 0.015,-0.0169 0.0334,-0.0215 0.0183,-0.005 0.0334,-0.0133 0.0334,-0.0193 0,-0.006 0.0133,-0.0152 0.0293,-0.0203 0.0162,-0.005 0.0379,-0.0179 0.0484,-0.0283 0.0105,-0.0105 0.0272,-0.0158 0.0374,-0.012 0.0104,0.005 0.0183,-0.002 0.0183,-0.0126 0,-0.012 0.0129,-0.0196 0.0334,-0.0196 0.0183,0 0.0334,-0.006 0.0334,-0.0134 0,-0.008 0.009,-0.0134 0.0191,-0.0134 0.0105,0 0.027,-0.008 0.0367,-0.0168 0.01,-0.009 0.0431,-0.0288 0.0743,-0.0434 0.0311,-0.0147 0.0566,-0.0311 0.0567,-0.0365 1e-4,-0.005 0.0119,-0.01 0.0262,-0.01 0.0143,0 0.0321,-0.0105 0.0396,-0.0234 0.008,-0.0128 0.0138,-0.0189 0.0141,-0.0135 5.2e-4,0.0149 0.1122,-0.032 0.1245,-0.0523 0.006,-0.01 0.0186,-0.0177 0.0283,-0.0177 0.01,0 0.0252,-0.009 0.0343,-0.02 0.009,-0.0111 0.0279,-0.02 0.0417,-0.02 0.0137,0 0.0251,-0.005 0.0251,-0.0119 0,-0.007 0.015,-0.0157 0.0334,-0.0203 0.0183,-0.005 0.0334,-0.0143 0.0334,-0.0215 0,-0.007 0.009,-0.0131 0.02,-0.0131 0.0111,0 0.02,-0.006 0.02,-0.0128 0,-0.007 0.0211,-0.0167 0.0468,-0.0215 0.0257,-0.005 0.0502,-0.0141 0.0542,-0.0206 0.005,-0.007 0.0234,-0.0119 0.0432,-0.0121 0.027,-1.6e-4 0.0311,-0.003 0.0166,-0.0125 -0.0151,-0.01 -0.0115,-0.0141 0.0167,-0.0212 0.0198,-0.005 0.0361,-0.0144 0.0361,-0.021 0,-0.007 0.0112,-0.0119 0.025,-0.0119 0.0138,0 0.0326,-0.009 0.0417,-0.02 0.009,-0.0111 0.0251,-0.02 0.0354,-0.02 0.0104,0 0.0222,-0.009 0.0264,-0.02 0.005,-0.0111 0.0235,-0.0201 0.043,-0.0203 0.0276,-1.5e-4 0.031,-0.002 0.0152,-0.0131 -0.0163,-0.0105 -0.0145,-0.013 0.009,-0.0131 0.0161,-10e-5 0.0326,-0.006 0.0368,-0.0125 0.005,-0.007 0.0256,-0.0163 0.0475,-0.0211 0.0219,-0.005 0.0399,-0.0143 0.0399,-0.0211 0,-0.007 0.0114,-0.0122 0.0253,-0.0122 0.0139,0 0.0287,-0.009 0.033,-0.02 0.005,-0.0111 0.0199,-0.02 0.0348,-0.02 0.0149,0 0.0271,-0.005 0.0271,-0.0105 0,-0.006 0.0196,-0.0198 0.0434,-0.0311 0.0239,-0.0113 0.0614,-0.03 0.0834,-0.0417 0.022,-0.0116 0.0626,-0.032 0.0901,-0.0453 0.0276,-0.0134 0.05,-0.0289 0.05,-0.0345 0,-0.006 0.0112,-0.0103 0.025,-0.0103 0.0137,0 0.0325,-0.009 0.0417,-0.02 0.009,-0.0111 0.0249,-0.02 0.035,-0.02 0.0101,0 0.0184,-0.006 0.0184,-0.0134 0,-0.008 0.0152,-0.0134 0.0338,-0.0134 0.0186,0 0.0372,-0.009 0.0414,-0.02 0.005,-0.0111 0.019,-0.02 0.033,-0.02 0.0138,0 0.0253,-0.005 0.0253,-0.0101 0,-0.005 0.0298,-0.0237 0.0662,-0.0404 0.0364,-0.0167 0.0697,-0.0362 0.0741,-0.0433 0.005,-0.007 0.0196,-0.0129 0.0339,-0.0129 0.0143,0 0.0259,-0.005 0.0261,-0.01 9e-5,-0.005 0.0256,-0.0219 0.0567,-0.0364 0.0311,-0.0145 0.0596,-0.0302 0.0632,-0.0348 0.003,-0.005 0.0306,-0.0187 0.06,-0.0317 0.0925,-0.0406 0.14655,-0.0669 0.15345,-0.0749 0.003,-0.005 0.0157,-0.0118 0.0267,-0.0168 0.0111,-0.005 0.038,-0.0212 0.06,-0.0359 0.022,-0.0147 0.0505,-0.0303 0.0633,-0.0348 0.0128,-0.005 0.0234,-0.0134 0.0234,-0.0199 0,-0.007 0.015,-0.0118 0.0334,-0.0118 0.0183,0 0.0334,-0.006 0.0334,-0.0131 0,-0.007 0.015,-0.0169 0.0334,-0.0215 0.0183,-0.005 0.0334,-0.0122 0.0335,-0.017 5e-5,-0.005 0.027,-0.0204 0.06,-0.0349 0.033,-0.0144 0.0599,-0.0306 0.0599,-0.0358 0,-0.005 0.0133,-0.0136 0.0293,-0.0189 0.0162,-0.005 0.0377,-0.0177 0.0477,-0.0277 0.0101,-0.0101 0.0232,-0.0154 0.0291,-0.0117 0.006,0.003 0.0182,-0.002 0.0272,-0.0132 0.009,-0.011 0.0277,-0.0199 0.0416,-0.0199 0.0138,0 0.0251,-0.006 0.0251,-0.0131 0,-0.007 0.015,-0.0169 0.0334,-0.0215 0.0183,-0.005 0.0334,-0.0137 0.0334,-0.0203 0,-0.007 0.009,-0.0119 0.02,-0.0119 0.0111,0 0.02,-0.006 0.02,-0.0134 0,-0.008 0.008,-0.0134 0.0176,-0.0134 0.0277,0 0.12927,-0.0526 0.12927,-0.067 0,-0.007 0.0116,-0.013 0.026,-0.013 0.0142,0 0.0297,-0.006 0.0341,-0.0134 0.005,-0.008 0.0201,-0.0134 0.0346,-0.0134 0.0144,0 0.0298,-0.009 0.034,-0.02 0.005,-0.0109 0.019,-0.02 0.0329,-0.02 0.0139,0 0.0253,-0.006 0.0253,-0.0131 0,-0.007 0.0164,-0.0172 0.0366,-0.0222 0.0201,-0.005 0.0439,-0.0157 0.0529,-0.0236 0.047,-0.0416 0.059,-0.0477 0.0909,-0.0477 0.0191,0 0.0312,-0.006 0.027,-0.0126 -0.005,-0.007 0.0149,-0.0227 0.0426,-0.035 0.12252,-0.0547 0.14915,-0.0693 0.14115,-0.0773 -0.005,-0.005 0.008,-0.009 0.0275,-0.009 0.0198,0 0.0395,-0.009 0.0436,-0.02 0.005,-0.0111 0.0221,-0.02 0.0396,-0.02 0.0176,0 0.0319,-0.005 0.0319,-0.0123 0,-0.0138 0.0751,-0.0544 0.10071,-0.0544 0.009,0 0.0199,-0.009 0.0242,-0.02 0.005,-0.0111 0.0199,-0.02 0.0348,-0.02 0.0149,0 0.0271,-0.006 0.0271,-0.0134 0,-0.0225 0.0842,-0.013 0.12677,0.0141 0.022,0.0141 0.049,0.0293 0.0601,0.0339 0.0766,0.0315 0.10674,0.0483 0.10674,0.0594 0,0.007 0.015,0.0128 0.0334,0.0128 0.0183,0 0.0334,0.005 0.0334,0.0108 0,0.006 0.0329,0.0254 0.0733,0.0434 0.0403,0.0179 0.0733,0.0371 0.0734,0.0426 1e-4,0.005 0.009,0.01 0.0202,0.01 0.0111,0 0.02,0.007 0.02,0.0156 0,0.009 0.003,0.0118 0.009,0.008 0.006,-0.006 0.16717,0.0673 0.20405,0.0932 0.0102,0.007 -0.043,0.0574 -0.061,0.0574 -0.01,0 -0.018,0.005 -0.0181,0.01 -5e-5,0.005 -0.027,0.0219 -0.0601,0.0364 -0.033,0.0144 -0.06,0.031 -0.06,0.0367 0,0.006 -0.01,0.0104 -0.0214,0.0104 -0.0118,0 -0.0433,0.0167 -0.0701,0.037 -0.0267,0.0204 -0.0711,0.0474 -0.0986,0.0598 -0.0276,0.0125 -0.05,0.0289 -0.05,0.0363 0,0.008 -0.015,0.0136 -0.0334,0.0136 -0.0183,0 -0.0334,0.006 -0.0334,0.0134 0,0.008 -0.009,0.0134 -0.0184,0.0134 -0.0101,0 -0.0258,0.009 -0.035,0.02 -0.009,0.0111 -0.0281,0.02 -0.0421,0.02 -0.0141,0 -0.0289,0.009 -0.0332,0.0199 -0.005,0.0109 -0.0127,0.0169 -0.0187,0.0131 -0.006,-0.003 -0.0173,0.003 -0.0249,0.0168 -0.008,0.013 -0.014,0.0189 -0.0141,0.013 -2e-4,-0.006 -0.026,0.006 -0.0571,0.0267 -0.0312,0.0206 -0.0807,0.0493 -0.11007,0.0639 -0.0293,0.0147 -0.0613,0.0342 -0.071,0.0434 -0.01,0.009 -0.0262,0.0167 -0.0367,0.0167 -0.0105,0 -0.0191,0.005 -0.0191,0.0119 0,0.007 -0.015,0.0157 -0.0334,0.0203 -0.0183,0.005 -0.0334,0.0143 -0.0334,0.0215 0,0.007 -0.012,0.0131 -0.0267,0.0131 -0.0147,0 -0.0267,0.005 -0.0267,0.0113 0,0.006 -0.0255,0.0225 -0.0567,0.0361 -0.0312,0.0137 -0.10867,0.0566 -0.17216,0.0954 -0.0635,0.0388 -0.12204,0.0705 -0.13011,0.0705 -0.008,0 -0.0147,0.005 -0.0147,0.0105 0,0.006 -0.039,0.0311 -0.0867,0.0562 -0.0477,0.0253 -0.0867,0.0506 -0.0867,0.0562 0,0.006 -0.009,0.0105 -0.0184,0.0105 -0.0101,0 -0.0258,0.009 -0.035,0.02 -0.009,0.011 -0.0279,0.02 -0.0417,0.02 -0.0138,0 -0.0251,0.006 -0.0251,0.0134 0,0.008 -0.009,0.0134 -0.0184,0.0134 -0.0101,0 -0.0258,0.009 -0.035,0.02 -0.009,0.0111 -0.0279,0.02 -0.0417,0.02 -0.0138,0 -0.025,0.005 -0.025,0.0119 0,0.007 -0.015,0.0157 -0.0334,0.0203 -0.0183,0.005 -0.0334,0.0143 -0.0334,0.0215 0,0.007 -0.009,0.0131 -0.02,0.0131 -0.0111,0 -0.02,0.006 -0.02,0.0131 0,0.007 -0.015,0.0169 -0.0334,0.0215 -0.0183,0.005 -0.0334,0.0137 -0.0334,0.0203 0,0.007 -0.0122,0.0119 -0.0271,0.0119 -0.0149,0 -0.0306,0.009 -0.0348,0.02 -0.005,0.0111 -0.0221,0.02 -0.0396,0.02 -0.0176,0 -0.0319,0.005 -0.0319,0.0118 0,0.007 -0.0105,0.0154 -0.0234,0.0196 -0.0254,0.009 -0.0727,0.037 -0.0834,0.0502 -0.003,0.005 -0.0202,0.0124 -0.0367,0.0176 -0.0165,0.005 -0.03,0.015 -0.03,0.0219 0,0.007 -0.006,0.0125 -0.0131,0.0125 -0.007,0 -0.0523,0.0241 -0.10031,0.0533 -0.0479,0.0293 -0.0991,0.0533 -0.11365,0.0533 -0.0145,0 -0.0264,0.006 -0.0264,0.0125 0,0.007 -0.0133,0.0166 -0.0293,0.0218 -0.0162,0.005 -0.0376,0.0176 -0.0477,0.0276 -0.01,0.01 -0.0268,0.0183 -0.0374,0.0183 -0.0105,0 -0.019,0.006 -0.019,0.0134 0,0.008 -0.009,0.0134 -0.0186,0.0134 -0.0102,0 -0.022,0.009 -0.0263,0.02 -0.005,0.0111 -0.0199,0.02 -0.0348,0.02 -0.0149,0 -0.0271,0.006 -0.0271,0.0131 0,0.007 -0.015,0.0169 -0.0334,0.0215 -0.0183,0.005 -0.0334,0.0137 -0.0334,0.0203 0,0.007 -0.009,0.0119 -0.02,0.0119 -0.0111,0 -0.02,0.006 -0.02,0.0134 0,0.008 -0.0121,0.0134 -0.0271,0.0134 -0.0149,0 -0.0306,0.009 -0.0348,0.02 -0.005,0.0111 -0.0187,0.02 -0.0322,0.02 -0.0135,0 -0.0298,0.009 -0.0361,0.0206 -0.006,0.0114 -0.0247,0.0216 -0.0406,0.0229 -0.016,0.002 -0.0291,0.007 -0.0291,0.0127 0,0.006 -0.009,0.0105 -0.0186,0.0105 -0.0102,0 -0.022,0.009 -0.0263,0.02 -0.005,0.011 -0.0199,0.02 -0.0348,0.02 -0.0149,0 -0.0271,0.005 -0.0271,0.0119 0,0.007 -0.015,0.0157 -0.0334,0.0203 -0.0183,0.005 -0.0334,0.0143 -0.0334,0.0215 0,0.007 -0.012,0.0131 -0.0267,0.0131 -0.0147,0 -0.0267,0.006 -0.0267,0.013 0,0.007 -0.0255,0.0254 -0.0567,0.0406 -0.10769,0.0524 -0.23019,0.12272 -0.23463,0.13459 -0.002,0.007 -0.0125,0.0119 -0.0225,0.0119 -0.01,0 -0.0259,0.008 -0.0358,0.0167 -0.01,0.009 -0.0418,0.0286 -0.071,0.0432 -0.0293,0.0147 -0.0562,0.0299 -0.0598,0.0341 -0.0157,0.0177 -0.16149,0.0928 -0.17994,0.0928 -0.0111,0 -0.0202,0.005 -0.0202,0.0118 0,0.007 -0.0105,0.0154 -0.0234,0.0196 -0.0267,0.009 -0.0672,0.0343 -0.0938,0.0587 -0.01,0.009 -0.0268,0.0167 -0.0373,0.0167 -0.0105,0 -0.0191,0.006 -0.0191,0.0134 0,0.008 -0.009,0.0134 -0.0206,0.0134 -0.0113,0 -0.0368,0.0111 -0.0567,0.0246 -0.0199,0.0135 -0.0632,0.042 -0.0962,0.0633 -0.0331,0.0213 -0.063,0.0419 -0.0667,0.0459 -0.003,0.005 -0.0534,0.0306 -0.1105,0.0593 -0.0572,0.0286 -0.11039,0.06 -0.11839,0.0697 -0.008,0.01 -0.0262,0.0176 -0.0404,0.0176 -0.0142,0 -0.0225,0.005 -0.0185,0.0119 0.005,0.007 -0.009,0.0158 -0.0275,0.0206 -0.0192,0.005 -0.0437,0.0176 -0.0544,0.0283 -0.0107,0.0107 -0.025,0.0161 -0.0318,0.0119 -0.007,-0.005 -0.0122,0.002 -0.0122,0.0133 0,0.0115 -0.0105,0.0212 -0.0234,0.0218 -0.0128,5.1e-4 -0.0413,0.0122 -0.0633,0.026 -0.022,0.0138 -0.067,0.0388 -0.10008,0.0558 -0.0331,0.0169 -0.063,0.0345 -0.0667,0.039 -0.003,0.005 -0.0202,0.0124 -0.0367,0.0177 -0.0165,0.005 -0.03,0.015 -0.03,0.0219 0,0.007 -0.009,0.0125 -0.02,0.0125 -0.0111,0 -0.02,0.005 -0.02,0.0113 0,0.006 -0.027,0.0225 -0.0601,0.0361 -0.0331,0.0136 -0.06,0.0293 -0.06,0.0348 0,0.005 -0.0225,0.0198 -0.05,0.0318 -0.0276,0.012 -0.0591,0.0273 -0.0701,0.0341 -0.0111,0.007 -0.029,0.0163 -0.0401,0.0213 -0.011,0.005 -0.023,0.0124 -0.0267,0.0166 -0.003,0.005 -0.0338,0.0209 -0.0668,0.037 -0.0331,0.0161 -0.0734,0.0416 -0.0895,0.0567 -0.0162,0.0151 -0.0383,0.0274 -0.0491,0.0274 -0.0109,0 -0.0237,0.006 -0.0285,0.0141 -0.005,0.008 -0.0217,0.0198 -0.0375,0.0267 -0.0158,0.007 -0.0405,0.02 -0.0549,0.0292 -0.0809,0.0516 -0.12902,0.0768 -0.14702,0.0768 -0.0111,0 -0.0203,0.005 -0.0203,0.0103 0,0.006 -0.0225,0.0222 -0.05,0.0367 -0.0275,0.0145 -0.058,0.0339 -0.0676,0.0431 -0.01,0.009 -0.0262,0.0166 -0.0367,0.0166 -0.0105,0 -0.019,0.005 -0.019,0.0102 0,0.0102 -0.0396,0.0343 -0.0834,0.0509 -0.0128,0.005 -0.0234,0.0141 -0.0234,0.0206 0,0.007 -0.0144,0.0118 -0.0319,0.0118 -0.0176,0 -0.0354,0.009 -0.0396,0.02 -0.005,0.011 -0.0163,0.02 -0.027,0.02 -0.0106,0 -0.0213,0.005 -0.0238,0.01 -0.002,0.005 -0.0328,0.0239 -0.0675,0.0409 -0.0347,0.017 -0.0665,0.0364 -0.0708,0.0434 -0.005,0.007 -0.0194,0.0126 -0.0336,0.0126 -0.0142,0 -0.026,0.006 -0.026,0.0127 0,0.007 -0.0225,0.0233 -0.05,0.0362 -0.0275,0.0129 -0.058,0.0312 -0.0676,0.0406 -0.01,0.009 -0.0265,0.0172 -0.0375,0.0172 -0.0109,0 -0.0162,0.006 -0.0115,0.0134 0.005,0.008 -0.003,0.0134 -0.0177,0.0134 -0.0142,0 -0.0333,0.009 -0.0425,0.02 -0.009,0.0111 -0.0309,0.02 -0.0483,0.02 -0.0175,0 -0.0318,0.005 -0.0318,0.0103 0,0.006 -0.0225,0.0222 -0.05,0.0367 -0.0276,0.0144 -0.058,0.0339 -0.0676,0.0431 -0.01,0.009 -0.0262,0.0167 -0.0368,0.0167 -0.0105,0 -0.0191,0.006 -0.0191,0.0134 0,0.008 -0.0118,0.0134 -0.026,0.0134 -0.0143,0 -0.0308,0.008 -0.0367,0.0177 -0.0134,0.0221 -0.0449,0.0338 -0.069,0.0254 z m 5.35576,-1.75103 c -0.008,-0.007 -0.0269,-0.0243 -0.0433,-0.0394 -0.0165,-0.0151 -0.0361,-0.0274 -0.0434,-0.0274 -0.008,0 -0.0134,-0.005 -0.0134,-0.0119 0,-0.007 -0.015,-0.0157 -0.0334,-0.0203 -0.0183,-0.005 -0.0334,-0.0143 -0.0334,-0.0215 0,-0.007 -0.009,-0.0131 -0.02,-0.0131 -0.0111,0 -0.02,-0.005 -0.02,-0.0119 0,-0.007 -0.015,-0.0157 -0.0334,-0.0203 -0.0183,-0.005 -0.0334,-0.0143 -0.0334,-0.0215 0,-0.007 -0.006,-0.0131 -0.014,-0.0131 -0.0144,0 -0.029,-0.0108 -0.0901,-0.0667 -0.02,-0.0183 -0.0589,-0.0448 -0.0863,-0.0588 -0.0274,-0.014 -0.0499,-0.0298 -0.0499,-0.0351 0,-0.005 -0.0105,-0.0132 -0.0234,-0.0176 -0.0335,-0.0113 -0.0721,-0.0374 -0.10601,-0.072 -0.0163,-0.0165 -0.0367,-0.03 -0.0454,-0.03 -0.016,0 -0.051,-0.0383 -0.0517,-0.0567 -2.4e-4,-0.005 0.0115,-0.01 0.0263,-0.01 0.0147,0 0.0267,-0.005 0.0267,-0.0119 0,-0.007 0.015,-0.0157 0.0334,-0.0203 0.0183,-0.005 0.0334,-0.0143 0.0334,-0.0215 0,-0.007 0.012,-0.0131 0.0267,-0.0131 0.0147,0 0.0267,-0.006 0.0267,-0.013 0,-0.007 0.0267,-0.0251 0.0592,-0.04 0.0326,-0.0148 0.063,-0.0329 0.0675,-0.0403 0.005,-0.008 0.0199,-0.0134 0.0341,-0.0134 0.0142,0 0.026,-0.006 0.026,-0.0134 0,-0.008 0.009,-0.0134 0.02,-0.0134 0.0109,0 0.02,-0.006 0.02,-0.0124 0,-0.007 0.0133,-0.0166 0.0293,-0.0218 0.0162,-0.005 0.0376,-0.0176 0.0477,-0.0276 0.01,-0.01 0.0268,-0.0183 0.0374,-0.0183 0.0105,0 0.019,-0.005 0.019,-0.0118 0,-0.007 0.0105,-0.0154 0.0234,-0.0196 0.0227,-0.008 0.07,-0.0352 0.0834,-0.0486 0.003,-0.003 0.0352,-0.0201 0.0701,-0.0366 0.0348,-0.0164 0.0633,-0.036 0.0633,-0.0434 0,-0.008 0.015,-0.0135 0.0334,-0.0135 0.0183,0 0.0334,-0.006 0.0334,-0.0134 0,-0.008 0.009,-0.0134 0.0205,-0.0134 0.0112,0 0.0239,-0.009 0.0281,-0.02 0.005,-0.0111 0.0184,-0.02 0.0315,-0.02 0.0131,0 0.0269,-0.008 0.0306,-0.0178 0.003,-0.01 0.0419,-0.0348 0.0849,-0.0556 0.0428,-0.0208 0.081,-0.0413 0.0847,-0.0455 0.0113,-0.0132 0.0588,-0.0414 0.0834,-0.0497 0.0128,-0.005 0.0234,-0.0127 0.0234,-0.0186 0,-0.006 0.0185,-0.0148 0.041,-0.0197 0.0225,-0.005 0.0376,-0.0125 0.0335,-0.0165 -0.009,-0.009 0.0239,-0.0284 0.11572,-0.0707 0.0348,-0.0161 0.0633,-0.0345 0.0633,-0.0409 0,-0.007 0.0105,-0.0118 0.0234,-0.0118 0.0129,0 0.0397,-0.015 0.0595,-0.0334 0.0198,-0.0183 0.0445,-0.0334 0.055,-0.0334 0.0105,0 0.0264,-0.009 0.0356,-0.02 0.009,-0.011 0.0279,-0.02 0.0417,-0.02 0.0137,0 0.0251,-0.006 0.0251,-0.0134 0,-0.008 0.009,-0.0134 0.0186,-0.0134 0.0102,0 0.022,-0.009 0.0263,-0.02 0.005,-0.0109 0.0209,-0.02 0.037,-0.02 0.0161,0 0.0255,-0.003 0.0208,-0.009 -0.005,-0.005 0.0169,-0.021 0.0479,-0.0361 0.031,-0.0151 0.0643,-0.0354 0.0739,-0.0448 0.01,-0.009 0.0262,-0.0172 0.0368,-0.0172 0.0105,0 0.0191,-0.006 0.0191,-0.0131 0,-0.007 0.015,-0.0169 0.0334,-0.0215 0.0183,-0.005 0.0334,-0.0137 0.0334,-0.0203 0,-0.007 0.015,-0.0119 0.0334,-0.0119 0.0183,0 0.0334,-0.006 0.0334,-0.0134 0,-0.008 0.0241,-0.0238 0.0533,-0.0364 0.0293,-0.0128 0.0533,-0.0307 0.0533,-0.04 0,-0.009 0.015,-0.0169 0.0334,-0.0169 0.0183,0 0.0334,-0.006 0.0334,-0.0126 0,-0.0122 0.0222,-0.0264 0.12009,-0.0768 0.0257,-0.0132 0.0497,-0.027 0.0533,-0.0306 0.01,-0.01 0.0567,-0.0387 0.08,-0.0494 0.0111,-0.005 0.0279,-0.017 0.0377,-0.0267 0.01,-0.01 0.0262,-0.0175 0.0367,-0.0175 0.0105,0 0.0191,-0.005 0.0191,-0.0119 0,-0.007 0.015,-0.0157 0.0334,-0.0203 0.0183,-0.005 0.0334,-0.0143 0.0334,-0.0215 0,-0.007 0.012,-0.0131 0.0267,-0.0131 0.0147,0 0.0267,-0.005 0.0267,-0.0118 0,-0.007 0.0106,-0.0154 0.0234,-0.0199 0.0128,-0.005 0.0413,-0.0202 0.0633,-0.0351 0.022,-0.0148 0.0505,-0.0306 0.0633,-0.0351 0.0128,-0.005 0.0234,-0.0128 0.0234,-0.0186 0,-0.0167 0.0956,0.0171 0.10295,0.0364 0.003,0.009 0.0151,0.0173 0.0255,0.0173 0.0167,0 0.059,0.0222 0.14558,0.0765 0.0144,0.009 0.0547,0.0293 0.0896,0.045 0.0348,0.0157 0.0633,0.0339 0.0633,0.0403 0,0.007 0.012,0.0118 0.0267,0.0118 0.0147,0 0.0267,0.006 0.0267,0.0131 0,0.007 0.015,0.0169 0.0334,0.0215 0.0183,0.005 0.0334,0.0137 0.0334,0.0203 0,0.007 0.0122,0.0119 0.0271,0.0119 0.0149,0 0.0306,0.009 0.0348,0.02 0.005,0.0111 0.0221,0.02 0.0397,0.02 0.0176,0 0.0319,0.005 0.0319,0.0119 0,0.007 0.0105,0.0156 0.0234,0.0202 0.0313,0.0114 0.0845,0.0429 0.0876,0.052 0.003,0.0101 -0.0842,0.0685 -0.14652,0.0978 -0.0282,0.0132 -0.0584,0.0303 -0.0674,0.0378 -0.0345,0.0295 -0.0523,0.0406 -0.0711,0.0449 -0.0107,0.002 -0.0243,0.0129 -0.0302,0.0234 -0.006,0.0105 -0.0168,0.019 -0.0243,0.019 -0.008,0 -0.022,0.008 -0.0322,0.0167 -0.0335,0.0301 -0.053,0.0431 -0.10329,0.0688 -0.0273,0.014 -0.0497,0.0298 -0.0497,0.0352 0,0.005 -0.0105,0.0131 -0.0234,0.0176 -0.0267,0.009 -0.0672,0.0343 -0.0938,0.0587 -0.01,0.009 -0.0268,0.0167 -0.0373,0.0167 -0.0105,0 -0.019,0.006 -0.019,0.0134 0,0.008 -0.009,0.0134 -0.02,0.0134 -0.0111,0 -0.02,0.006 -0.02,0.0131 0,0.007 -0.015,0.0169 -0.0334,0.0215 -0.0183,0.005 -0.0334,0.013 -0.0334,0.0187 0,0.006 -0.0105,0.0139 -0.0234,0.0182 -0.0267,0.009 -0.0672,0.0343 -0.0938,0.0587 -0.01,0.009 -0.0268,0.0167 -0.0372,0.0167 -0.0105,0 -0.0191,0.006 -0.0191,0.0134 0,0.008 -0.009,0.0134 -0.02,0.0134 -0.0111,0 -0.02,0.009 -0.02,0.02 0,0.0109 -0.009,0.02 -0.0203,0.02 -0.0111,0 -0.0441,0.015 -0.0731,0.0334 -0.0291,0.0183 -0.0584,0.0334 -0.0653,0.0334 -0.007,0 -0.0144,0.005 -0.017,0.01 -0.008,0.0179 -0.13146,0.0967 -0.15162,0.0967 -0.0108,0 -0.0196,0.007 -0.0196,0.0152 0,0.0207 -0.0413,0.0506 -0.0706,0.0511 -0.0132,2.6e-4 -0.0565,0.0244 -0.0962,0.0538 -0.0397,0.0293 -0.0815,0.0533 -0.0928,0.0533 -0.0113,0 -0.0206,0.009 -0.0206,0.02 0,0.0111 -0.009,0.02 -0.02,0.02 -0.0111,0 -0.02,0.006 -0.02,0.0141 0,0.008 -0.006,0.0106 -0.0128,0.006 -0.007,-0.005 -0.0246,0.003 -0.039,0.0182 -0.0143,0.0143 -0.0284,0.0237 -0.0312,0.0208 -0.002,-0.002 -0.0248,0.0127 -0.0487,0.0345 -0.0239,0.0219 -0.0513,0.0397 -0.061,0.0397 -0.01,0 -0.025,0.009 -0.0342,0.02 -0.009,0.0111 -0.0249,0.02 -0.035,0.02 -0.0101,0 -0.0184,0.006 -0.0184,0.0134 0,0.008 -0.009,0.0134 -0.0205,0.0134 -0.0112,0 -0.0239,0.009 -0.0281,0.02 -0.005,0.0111 -0.019,0.02 -0.033,0.02 -0.0138,0 -0.0253,0.006 -0.0253,0.0134 0,0.008 -0.0114,0.0134 -0.0253,0.0134 -0.0139,0 -0.0286,0.009 -0.0329,0.02 -0.005,0.0111 -0.0199,0.02 -0.0348,0.02 -0.0153,0 -0.0271,0.009 -0.0271,0.02 0,0.011 -0.009,0.02 -0.02,0.02 -0.011,0 -0.02,0.005 -0.02,0.0102 0,0.0102 -0.0396,0.0343 -0.0834,0.0509 -0.0128,0.005 -0.0234,0.0141 -0.0234,0.0206 0,0.007 -0.009,0.0118 -0.0191,0.0118 -0.0105,0 -0.0272,0.008 -0.0373,0.0167 -0.0265,0.0243 -0.067,0.0497 -0.0938,0.0587 -0.0128,0.005 -0.0234,0.0124 -0.0234,0.018 0,0.006 -0.0105,0.0138 -0.0234,0.018 -0.0267,0.009 -0.0672,0.0343 -0.0938,0.0587 -0.01,0.009 -0.0268,0.0167 -0.0373,0.0167 -0.0105,0 -0.0191,0.006 -0.0191,0.0134 0,0.008 -0.009,0.0134 -0.02,0.0134 -0.0111,0 -0.02,0.005 -0.02,0.0119 0,0.007 -0.0155,0.0157 -0.0345,0.0206 -0.0325,0.009 -0.0463,0.0169 -0.0918,0.0576 -0.0102,0.009 -0.0243,0.0167 -0.0312,0.0167 -0.007,0 -0.0201,0.009 -0.0293,0.02 -0.0183,0.0219 -0.0657,0.0256 -0.0867,0.007 z m 2.92224,-0.36528 c -0.0147,-0.009 -0.0297,-0.0181 -0.0334,-0.0217 -0.0201,-0.0201 -0.0943,-0.0667 -0.10621,-0.0667 -0.008,0 -0.0138,-0.006 -0.0138,-0.0134 0,-0.008 -0.0114,-0.0134 -0.0253,-0.0134 -0.0139,0 -0.0286,-0.009 -0.0329,-0.02 -0.005,-0.0111 -0.0199,-0.02 -0.0348,-0.02 -0.0149,0 -0.0271,-0.005 -0.0271,-0.0118 0,-0.007 -0.0105,-0.0154 -0.0234,-0.0196 -0.0254,-0.009 -0.0727,-0.037 -0.0834,-0.0502 -0.003,-0.005 -0.0203,-0.0124 -0.0367,-0.0176 -0.0165,-0.005 -0.03,-0.015 -0.03,-0.0219 0,-0.007 -0.009,-0.0124 -0.02,-0.0124 -0.0111,0 -0.02,-0.006 -0.02,-0.0125 0,-0.007 -0.0135,-0.0167 -0.03,-0.0219 -0.0165,-0.005 -0.0331,-0.013 -0.0367,-0.0176 -0.0107,-0.0132 -0.0581,-0.0417 -0.0834,-0.0502 -0.0128,-0.005 -0.0234,-0.0131 -0.0234,-0.0196 0,-0.007 -0.009,-0.0118 -0.019,-0.0118 -0.0105,0 -0.0272,-0.008 -0.0372,-0.0167 -0.0265,-0.0243 -0.0671,-0.0497 -0.0938,-0.0587 -0.0128,-0.005 -0.0234,-0.0107 -0.0234,-0.0141 0,-0.0144 0.0617,-0.0564 0.0834,-0.0568 0.0128,-2.6e-4 0.0234,-0.007 0.0234,-0.0138 0,-0.008 0.009,-0.0134 0.019,-0.0134 0.0105,0 0.0208,-0.005 0.0234,-0.0106 0.002,-0.006 0.027,-0.0243 0.0545,-0.0411 0.0275,-0.0168 0.05,-0.0361 0.05,-0.0428 0,-0.007 0.0128,-0.0122 0.0285,-0.0122 0.0157,0 0.0413,-0.0139 0.0571,-0.0309 0.0157,-0.017 0.0494,-0.0425 0.075,-0.0567 0.0255,-0.0142 0.0493,-0.0293 0.053,-0.0335 0.003,-0.005 0.0157,-0.0119 0.0267,-0.0172 0.0521,-0.0249 0.0791,-0.045 0.071,-0.0531 -0.005,-0.005 7.6e-4,-0.009 0.0125,-0.009 0.0118,0 0.0294,-0.008 0.0395,-0.0167 0.0265,-0.0243 0.067,-0.0497 0.0938,-0.0587 0.0128,-0.005 0.0234,-0.0125 0.0234,-0.0182 0,-0.006 0.015,-0.0141 0.0334,-0.0187 0.0183,-0.005 0.0334,-0.0143 0.0334,-0.0215 0,-0.007 0.009,-0.0131 0.02,-0.0131 0.0109,0 0.02,-0.005 0.02,-0.0103 0,-0.006 0.0225,-0.0222 0.05,-0.0366 0.0276,-0.0144 0.0549,-0.0338 0.0607,-0.0431 0.006,-0.009 0.0193,-0.0168 0.03,-0.0168 0.0106,0 0.0193,-0.006 0.0193,-0.0134 0,-0.008 0.009,-0.0134 0.0204,-0.0134 0.0112,0 0.0239,-0.009 0.0281,-0.02 0.005,-0.0111 0.0221,-0.02 0.0396,-0.02 0.0176,0 0.0319,-0.005 0.0319,-0.0105 0,-0.0128 0.0828,-0.0636 0.0967,-0.0594 0.005,0.002 0.01,-0.002 0.01,-0.009 0,-0.007 0.018,-0.005 0.04,0.002 0.022,0.009 0.0401,0.0193 0.0401,0.0244 0,0.005 0.018,0.0134 0.04,0.0182 0.022,0.005 0.04,0.0143 0.04,0.0211 0,0.007 0.009,0.0122 0.0184,0.0122 0.0101,0 0.0258,0.009 0.035,0.02 0.009,0.0109 0.0279,0.02 0.0417,0.02 0.0137,0 0.025,0.006 0.025,0.0134 0,0.008 0.0152,0.0134 0.0339,0.0134 0.0186,0 0.0373,0.009 0.0414,0.02 0.005,0.0111 0.019,0.02 0.033,0.02 0.0139,0 0.0253,0.005 0.0253,0.0118 0,0.007 0.0105,0.0156 0.0234,0.0202 0.0316,0.0114 0.0823,0.0416 0.10054,0.0598 0.009,0.009 0.0257,0.0149 0.039,0.0149 0.0132,0 0.0241,0.006 0.0241,0.0134 0,0.008 0.0136,0.0134 0.0301,0.0134 0.0166,0 0.0463,0.015 0.0661,0.0334 0.0198,0.0183 0.0484,0.0334 0.0637,0.0334 0.0152,0 0.0312,0.009 0.0354,0.02 0.005,0.0111 0.019,0.02 0.0329,0.02 0.0485,0 0.0281,0.0473 -0.0338,0.0782 -0.0326,0.0162 -0.073,0.0442 -0.0901,0.0622 -0.017,0.018 -0.0371,0.0328 -0.0445,0.0328 -0.008,1.6e-4 -0.0296,0.0153 -0.0495,0.0335 -0.0198,0.0183 -0.0422,0.0334 -0.0499,0.0334 -0.008,0 -0.014,0.005 -0.014,0.0102 0,0.006 -0.0225,0.0222 -0.05,0.0367 -0.0275,0.0144 -0.058,0.0339 -0.0676,0.0431 -0.01,0.009 -0.0257,0.0167 -0.0357,0.0167 -0.01,0 -0.029,0.0138 -0.0424,0.0307 -0.0134,0.0169 -0.0333,0.0352 -0.0444,0.0406 -0.0484,0.0237 -0.0856,0.0484 -0.0733,0.0487 0.008,9e-5 -0.0121,0.0128 -0.0434,0.0283 -0.0312,0.0154 -0.0567,0.0335 -0.0567,0.04 0,0.007 -0.009,0.012 -0.02,0.012 -0.0111,0 -0.02,0.009 -0.02,0.02 0,0.0112 -0.0119,0.02 -0.0271,0.02 -0.0149,0 -0.0306,0.009 -0.0348,0.02 -0.005,0.0111 -0.016,0.02 -0.0263,0.02 -0.0102,0 -0.0186,0.005 -0.0186,0.0112 0,0.006 -0.0211,0.0225 -0.0468,0.0364 -0.0257,0.0137 -0.0468,0.0298 -0.0468,0.0354 0,0.006 -0.009,0.0103 -0.0186,0.0103 -0.0102,0 -0.022,0.009 -0.0263,0.02 -0.005,0.0111 -0.0192,0.02 -0.0334,0.02 -0.0141,0 -0.0293,0.009 -0.0336,0.0209 -0.005,0.0115 -0.0141,0.0171 -0.0214,0.0126 -0.008,-0.005 -0.0134,5.2e-4 -0.0134,0.0111 0,0.0106 -0.015,0.0232 -0.0334,0.0277 -0.0183,0.005 -0.0334,0.0143 -0.0334,0.0215 0,0.007 -0.009,0.0131 -0.0189,0.0131 -0.0105,0 -0.0209,0.005 -0.0234,0.0118 -0.002,0.007 -0.0164,0.005 -0.0312,-0.003 z"
+ id="path56252"
+ inkscape:connector-curvature="0" />
+ <path
+ style="fill:#afabab;fill-opacity:1;stroke:none;stroke-width:0.4313232;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:0.39215686"
+ d="m -35.94889,35.9093 h -5.30885 v -5.25781 z"
+ id="rect55701-5"
+ inkscape:connector-curvature="0"
+ sodipodi:nodetypes="cccc" />
+ <text
+ xml:space="preserve"
+ style="font-style:normal;font-variant:normal;font-weight:normal;font-stretch:normal;font-size:4.9705863px;line-height:1.25;font-family:monospace;-inkscape-font-specification:monospace;letter-spacing:0px;word-spacing:0px;fill:#afabab;fill-opacity:1;stroke:none;stroke-width:0.13810469"
+ x="-59.061882"
+ y="42.855503"
+ id="text55709-6"><tspan
+ sodipodi:role="line"
+ id="tspan55707-0"
+ x="-59.061882"
+ y="42.855503"
+ style="font-style:normal;font-variant:normal;font-weight:bold;font-stretch:normal;font-family:monospace;-inkscape-font-specification:monospace;fill:#afabab;fill-opacity:1;stroke-width:0.13810469">PARQUET</tspan></text>
+ <path
+ style="fill:#6995f4;fill-opacity:1;stroke:none;stroke-width:0.31363189;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m -60.81183,30.65149 h 19.55409 l -0.003,2.44581 h -19.55143 z"
+ id="rect55679-1-5"
+ inkscape:connector-curvature="0"
+ sodipodi:nodetypes="ccccc" />
+ </g>
+ </g>
+ <g
+ id="g13072"
+ transform="translate(0,-0.47244895)"
+ style="stroke-width:1.11137545">
+ <g
+ transform="matrix(0.7639736,0,0,0.7639736,141.24395,-103.38038)"
+ id="g5002"
+ style="stroke-width:1.11137545">
+ <path
+ style="fill:#adabab;fill-opacity:0.39215686;stroke:#ffffff;stroke-width:0.52249008;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m -296.22335,138.07636 h 25.82876 l 6.84864,6.7172 v 33.52589 h -32.6774 z"
+ id="rect55679-4-0-7"
+ inkscape:connector-curvature="0"
+ sodipodi:nodetypes="cccccc" />
+ <path
+ style="fill:#afabab;fill-opacity:1;stroke:none;stroke-width:0.56457865;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:0.39215686"
+ d="m -263.44559,144.95855 h -6.949 v -6.88219 z"
+ id="rect55701-3-7-7"
+ inkscape:connector-curvature="0"
+ sodipodi:nodetypes="cccc" />
+ <text
+ xml:space="preserve"
+ style="font-style:normal;font-variant:normal;font-weight:normal;font-stretch:normal;font-size:10.58333302px;line-height:1.25;font-family:monospace;-inkscape-font-specification:monospace;letter-spacing:0px;word-spacing:0px;fill:#afabab;fill-opacity:1;stroke:none;stroke-width:0.29405141"
+ x="-292.76242"
+ y="155.93517"
+ id="text55709-5-8-1"><tspan
+ sodipodi:role="line"
+ id="tspan55707-4-9-21"
+ x="-292.76242"
+ y="155.93517"
+ style="font-style:normal;font-variant:normal;font-weight:bold;font-stretch:normal;font-family:monospace;-inkscape-font-specification:monospace;fill:#afabab;fill-opacity:1;stroke-width:0.29405141">HTML</tspan></text>
+ <path
+ style="fill:#d45500;fill-opacity:1;stroke:none;stroke-width:0.41052711;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m -295.98983,138.07636 h 25.59524 l -0.004,3.20143 h -25.59176 z"
+ id="rect55679-1-7-9-0"
+ inkscape:connector-curvature="0"
+ sodipodi:nodetypes="ccccc" />
+ <text
+ id="text55879-4"
+ y="171.957"
+ x="-291.82764"
+ style="font-style:normal;font-weight:normal;font-size:14.25364685px;line-height:1.25;font-family:sans-serif;letter-spacing:0px;word-spacing:0px;fill:#d45500;fill-opacity:1;stroke:none;stroke-width:0.39602885"
+ xml:space="preserve"><tspan
+ style="fill:#d45500;fill-opacity:1;stroke-width:0.39602885"
+ y="171.957"
+ x="-291.82764"
+ id="tspan55877-8"
+ sodipodi:role="line"><></tspan></text>
+ </g>
+ <g
+ transform="matrix(0.7639736,0,0,0.7639736,132.71412,-103.38038)"
+ id="g4993"
+ style="stroke-width:1.11137545">
+ <path
+ style="fill:#adabab;fill-opacity:0.39215686;stroke:#ffffff;stroke-width:0.52249008;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m -247.76738,138.07636 h 25.82876 l 6.84864,6.7172 v 33.52589 h -32.6774 z"
+ id="rect55679-4-0-7-6"
+ inkscape:connector-curvature="0"
+ sodipodi:nodetypes="cccccc" />
+ <path
+ style="fill:#afabab;fill-opacity:1;stroke:none;stroke-width:0.56457865;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:0.39215686"
+ d="m -214.98962,144.95855 h -6.949 v -6.88219 z"
+ id="rect55701-3-7-7-7"
+ inkscape:connector-curvature="0"
+ sodipodi:nodetypes="cccc" />
+ <text
+ xml:space="preserve"
+ style="font-style:normal;font-variant:normal;font-weight:normal;font-stretch:normal;font-size:10.58333302px;line-height:1.25;font-family:monospace;-inkscape-font-specification:monospace;letter-spacing:0px;word-spacing:0px;fill:#afabab;fill-opacity:1;stroke:none;stroke-width:0.29405141"
+ x="-244.30646"
+ y="155.93517"
+ id="text55709-5-8-1-5"><tspan
+ sodipodi:role="line"
+ id="tspan55707-4-9-21-3"
+ x="-244.30646"
+ y="155.93517"
+ style="font-style:normal;font-variant:normal;font-weight:bold;font-stretch:normal;font-family:monospace;-inkscape-font-specification:monospace;fill:#afabab;fill-opacity:1;stroke-width:0.29405141">HDF5</tspan></text>
+ <path
+ style="fill:#2cab28;fill-opacity:1;stroke:none;stroke-width:0.41052711;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m -247.53386,138.07636 h 25.59524 l -0.004,3.20143 h -25.59176 z"
+ id="rect55679-1-7-9-0-5"
+ inkscape:connector-curvature="0"
+ sodipodi:nodetypes="ccccc" />
+ <path
+ style="fill:#2cab28;fill-opacity:1;stroke-width:0.01142396"
+ d="m -228.2809,172.80263 c -0.202,-0.0438 -0.37838,-0.14187 -0.50896,-0.28291 -0.0769,-0.083 -0.11316,-0.13774 -0.16538,-0.24931 -0.0851,-0.18181 -0.0809,-0.13496 -0.0871,-0.97682 l -0.006,-0.74885 -0.0888,0.10126 c -0.12247,0.13959 -0.41022,0.41948 -0.55874,0.54347 -0.84282,0.70368 -1.86652,1.17525 -3.06769,1.41315 -0.52549,0.10407 -1.00462,0.15148 -1.63022,0.16129 -0.53258,0.008 -0.64972,-0.005 -0.84254,-0.098 -0.26642,-0.12809 -0.46447,-0.38731 -0.51956,-0.68003 -0.0177,-0.094 -0.0151,-0.2674 0.005,-0.36491 0.076,-0.36089 0.3608,-0.6475 0.72486,-0.72956 0.065,-0.0147 0.1512,-0.0179 0.54992,-0.0205 0.47948,-0.004 0.60576,-0.009 0.95596,-0.0474 1.30447,-0.14149 2.34564,-0.6184 2.99398,-1.37141 0.39145,-0.45465 0.62298,-0.97115 0.70781,-1.579 0.0247,-0.17684 0.0247,-0.57128 -10e-5,-0.74923 -0.0492,-0.3547 -0.13728,-0.63945 -0.29551,-0.95596 -0.48894,-0.97817 -1.47794,-1.6518 -2.8511,-1.94196 -0.23021,-0.0487 -0.4358,-0.0806 -0.76323,-0.11859 l -0.0539,-0.006 v 2.13841 2.13841 h -2.71369 -2.71369 l -8e-5,1.75516 c -5e-5,1.16801 -0.004,1.77751 -0.0108,1.82197 -0.0153,0.0952 -0.0615,0.22303 -0.11373,0.31501 -0.0524,0.0922 -0.18048,0.23228 -0.27212,0.29768 -0.18509,0.13208 -0.43523,0.19653 -0.65358,0.1684 -0.27855,-0.0359 -0.52289,-0.18249 -0.67666,-0.40601 -0.0501,-0.0728 -0.11087,-0.20816 -0.13607,-0.30313 l -0.0231,-0.0874 v -4.48683 -4.48684 l 0.0237,-0.0867 c 0.0906,-0.33162 0.32687,-0.5747 0.65683,-0.67579 0.0816,-0.025 0.10651,-0.0278 0.25488,-0.0283 0.19819,-4.8e-4 0.25702,0.0121 0.42144,0.0916 0.27365,0.13243 0.46516,0.38659 0.51858,0.68819 0.007,0.041 0.0108,0.6273 0.0108,1.79114 v 1.73014 h 1.76777 1.76779 l 0.003,-1.76544 0.003,-1.76544 0.0236,-0.0822 c 0.0312,-0.10896 0.10123,-0.2515 0.16408,-0.33431 0.17162,-0.22611 0.44991,-0.37003 0.71444,-0.36946 0.0465,1e-4 2.81826,0.004 6.15949,0.008 l 6.07496,0.007 0.0722,0.0225 c 0.18274,0.057 0.31346,0.13732 0.43953,0.27005 0.14446,0.15211 0.23163,0.34134 0.25287,0.54896 0.0476,0.46593 -0.24024,0.88175 -0.70295,1.01524 l -0.0822,0.0237 -2.29996,0.003 -2.29995,0.003 v 1.2331 1.23311 l 1.66778,0.003 1.66779,0.003 0.0925,0.0288 c 0.17469,0.0546 0.32388,0.148 0.44081,0.27613 0.1602,0.17551 0.24276,0.39165 0.24276,0.63553 0,0.24752 -0.0819,0.46012 -0.24645,0.63968 -0.11647,0.12711 -0.26043,0.21641 -0.43936,0.27253 l -0.0903,0.0283 -1.66756,0.003 -1.66757,0.003 -0.003,1.80634 -0.003,1.80635 -0.0288,0.0925 c -0.11257,0.36055 -0.37513,0.60464 -0.72877,0.67751 -0.0965,0.0199 -0.27614,0.0201 -0.36676,4.9e-4 z"
+ id="path4972"
+ inkscape:connector-curvature="0" />
+ </g>
+ <g
+ transform="matrix(0.7639736,0,0,0.7639736,389.89266,-103.38038)"
+ id="g57106"
+ style="stroke-width:1.11137545">
+ <g
+ id="g56951"
+ style="stroke-width:1.11137545">
+ <path
+ sodipodi:nodetypes="cccccc"
+ inkscape:connector-curvature="0"
+ id="rect55679-4"
+ d="m -547.10925,138.07636 h 25.82876 l 6.84864,6.7172 v 33.52589 h -32.6774 z"
+ style="fill:#adabab;fill-opacity:0.39215686;stroke:#ffffff;stroke-width:0.52249008;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1" />
+ <path
+ sodipodi:nodetypes="cccc"
+ inkscape:connector-curvature="0"
+ id="rect55701-3"
+ d="m -514.33149,144.95855 h -6.949 v -6.88219 z"
+ style="fill:#afabab;fill-opacity:1;stroke:none;stroke-width:0.56457865;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:0.39215686" />
+ <text
+ id="text55709-5"
+ y="155.93515"
+ x="-543.47522"
+ style="font-style:normal;font-variant:normal;font-weight:normal;font-stretch:normal;font-size:10.58333302px;line-height:1.25;font-family:monospace;-inkscape-font-specification:monospace;letter-spacing:0px;word-spacing:0px;fill:#afabab;fill-opacity:1;stroke:none;stroke-width:0.29405141"
+ xml:space="preserve"><tspan
+ style="font-style:normal;font-variant:normal;font-weight:bold;font-stretch:normal;font-family:monospace;-inkscape-font-specification:monospace;fill:#afabab;fill-opacity:1;stroke-width:0.29405141"
+ y="155.93515"
+ x="-543.47522"
+ id="tspan55707-4"
+ sodipodi:role="line">JSON</tspan></text>
+ <path
+ sodipodi:nodetypes="ccccc"
+ inkscape:connector-curvature="0"
+ id="rect55679-1-7"
+ d="m -546.87573,138.07636 h 25.59524 l -0.004,3.20143 h -25.59176 z"
+ style="fill:#7c4515;fill-opacity:1;stroke:none;stroke-width:0.41052711;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1" />
+ <text
+ xml:space="preserve"
+ style="font-style:normal;font-weight:normal;font-size:14.25364685px;line-height:1.25;font-family:sans-serif;letter-spacing:0px;word-spacing:0px;fill:#7c4515;fill-opacity:1;stroke:none;stroke-width:0.39602885"
+ x="-539.08789"
+ y="171.74121"
+ id="text55879"><tspan
+ sodipodi:role="line"
+ id="tspan55877"
+ x="-539.08789"
+ y="171.74121"
+ style="fill:#7c4515;fill-opacity:1;stroke-width:0.39602885">{}</tspan></text>
+ </g>
+ </g>
+ </g>
+ <g
+ id="g13116"
+ transform="translate(0,-4.3467227)"
+ style="stroke-width:1.11137545">
+ <g
+ transform="matrix(0.7639736,0,0,0.7639736,209.56487,-64.753609)"
+ id="g56797"
+ style="stroke-width:1.11137545">
+ <path
+ style="fill:#adabab;fill-opacity:0.39215686;stroke:#ffffff;stroke-width:0.52249008;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m -385.65173,138.07636 h 25.82876 l 6.84864,6.7172 v 33.52589 h -32.6774 z"
+ id="rect55679-5-3-4"
+ inkscape:connector-curvature="0"
+ sodipodi:nodetypes="cccccc" />
+ <g
+ id="g56653"
+ transform="matrix(0.12939252,0,0,0.12939252,-377.59411,159.20773)"
+ style="stroke-width:1.11137545">
+ <g
+ style="display:none;stroke-width:1.11137545"
+ id="Placement_ONLY" />
+ <g
+ id="BASE"
+ style="stroke-width:1.11137545">
+ <linearGradient
+ y2="120.7894"
+ x2="63.999699"
+ y1="7.0335999"
+ x1="63.999699"
+ gradientUnits="userSpaceOnUse"
+ id="linearGradient11218">
+ <stop
+ id="stop11214"
+ style="stop-color:#4387FD"
+ offset="0" />
+ <stop
+ id="stop11216"
+ style="stop-color:#4683EA"
+ offset="1" />
+ </linearGradient>
+ <path
+ id="path56591"
+ d="M 27.7906,115.2166 1.54,69.7493 c -2.0541,-3.5578 -2.0541,-7.9412 0,-11.499 L 27.7906,12.7831 c 2.0541,-3.5578 5.8503,-5.7495 9.9585,-5.7495 h 52.5012 c 4.1082,0 7.9044,2.1917 9.9585,5.7495 l 26.2506,45.4672 c 2.0541,3.5578 2.0541,7.9412 0,11.499 l -26.2506,45.4672 c -2.0541,3.5578 -5.8503,5.7495 -9.9585,5.7495 H 37.7491 c -4.1082,1e-4 -7.9043,-2.1916 -9.9585,-5.7494 z"
+ style="fill:url(#SVGID_1_);stroke-width:1.11137545"
+ inkscape:connector-curvature="0" />
+ </g>
+ <g
+ id="shadow"
+ style="stroke-width:1.11137545">
+ <g
+ id="g56602"
+ style="stroke-width:1.11137545">
+ <defs
+ id="defs56595">
+ <path
+ d="M 27.7908,115.2166 1.5403,69.7493 c -2.0541,-3.5578 -2.0541,-7.9412 0,-11.499 L 27.7908,12.7831 C 29.8449,9.2253 33.641,7.0336 37.7493,7.0336 h 52.501 c 4.1082,0 7.9044,2.1917 9.9585,5.7495 l 26.2505,45.4672 c 2.0541,3.5578 2.0541,7.9412 0,11.499 l -26.2505,45.4672 c -2.0541,3.5578 -5.8502,5.7495 -9.9585,5.7495 h -52.501 c -4.1083,1e-4 -7.9044,-2.1916 -9.9585,-5.7494 z"
+ id="path12064"
+ inkscape:connector-curvature="0" />
+ </defs>
+ <clipPath
+ id="clipPath11226">
+ <use
+ id="use11224"
+ style="overflow:visible"
+ xlink:href="#SVGID_6_"
+ x="0"
+ y="0"
+ width="100%"
+ height="100%" />
+ </clipPath>
+ <polygon
+ id="polygon56600"
+ clip-path="url(#SVGID_2_)"
+ points="119.2289,86.4791 80.6247,47.8749 63.9997,43.4256 49.0668,48.9745 43.3004,63.9999 47.9372,80.729 88.8747,121.6665 97.5622,121.2811 "
+ style="opacity:0.07000002;stroke-width:1.11137545" />
+ </g>
+ </g>
+ <g
+ id="art"
+ style="stroke-width:1.11137545">
+ <g
+ id="g56617"
+ style="stroke-width:1.11137545">
+ <g
+ id="g56615"
+ style="stroke-width:1.11137545">
+ <path
+ id="path56605"
+ d="m 63.9997,40.804 c -12.8097,0 -23.1947,10.3849 -23.1947,23.1959 0,12.8097 10.385,23.1947 23.1947,23.1947 12.8097,0 23.1947,-10.385 23.1947,-23.1947 C 87.1945,51.1889 76.8095,40.804 63.9997,40.804 m 0,40.7948 c -9.72,0 -17.599,-7.879 -17.599,-17.599 0,-9.72 7.879,-17.6007 17.599,-17.6007 9.72,0 17.6001,7.8807 17.6001,17.6007 0,9.72 -7.8801,17.599 -17.6001,17.599"
+ style="fill:#ffffff;stroke-width:1.11137545"
+ inkscape:connector-curvature="0" />
+ <path
+ id="path56607"
+ d="m 52.9898,63.1041 v 7.2091 c 1.0659,1.8326 2.5751,3.3702 4.381,4.4754 V 63.1041 Z"
+ style="fill:#ffffff;stroke-width:1.11137545"
+ inkscape:connector-curvature="0" />
+ <path
+ id="path56609"
+ d="m 61.6754,57.0263 v 19.4109 c 0.7448,0.1363 1.5067,0.2199 2.2892,0.2199 0.7145,0 1.4098,-0.0752 2.093,-0.189 V 57.0263 Z"
+ style="fill:#ffffff;stroke-width:1.11137545"
+ inkscape:connector-curvature="0" />
+ <path
+ id="path56611"
+ d="m 70.7656,66.1008 v 8.5614 c 1.8325,-1.1695 3.3478,-2.7822 4.3822,-4.7002 v -3.8612 z"
+ style="fill:#ffffff;stroke-width:1.11137545"
+ inkscape:connector-curvature="0" />
+ <path
+ id="path56613"
+ d="m 80.6914,78.2867 -2.403,2.4049 c -0.4239,0.4227 -0.4239,1.1132 0,1.5371 l 9.1143,9.112 c 0.4227,0.4238 1.1144,0.4238 1.5371,0 l 2.403,-2.4013 c 0.4214,-0.4227 0.4214,-1.1143 0,-1.5365 l -9.1156,-9.1162 c -0.4215,-0.4221 -1.1143,-0.4221 -1.5358,0"
+ style="fill:#ffffff;stroke-width:1.11137545"
+ inkscape:connector-curvature="0" />
+ </g>
+ </g>
+ </g>
+ <g
+ id="Guides"
+ style="stroke-width:1.11137545" />
+ </g>
+ <path
+ style="fill:#afabab;fill-opacity:1;stroke:none;stroke-width:0.56457865;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:0.39215686"
+ d="m -352.87397,144.95855 h -6.949 v -6.88219 z"
+ id="rect55701-5-6-9"
+ inkscape:connector-curvature="0"
+ sodipodi:nodetypes="cccc" />
+ <path
+ style="fill:#4486f6;fill-opacity:1;stroke:none;stroke-width:0.41052711;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m -385.41821,138.07636 h 25.59524 l -0.004,3.20143 h -25.59176 z"
+ id="rect55679-1-5-6-6"
+ inkscape:connector-curvature="0"
+ sodipodi:nodetypes="ccccc" />
+ <text
+ xml:space="preserve"
+ style="font-style:normal;font-variant:normal;font-weight:normal;font-stretch:normal;font-size:10.58333302px;line-height:1.25;font-family:monospace;-inkscape-font-specification:monospace;letter-spacing:0px;word-spacing:0px;fill:#afabab;fill-opacity:1;stroke:none;stroke-width:0.29405141"
+ x="-379.1109"
+ y="155.33165"
+ id="text55709-5-8-0-4"><tspan
+ sodipodi:role="line"
+ id="tspan55707-4-9-2-6"
+ x="-379.1109"
+ y="155.33165"
+ style="font-style:normal;font-variant:normal;font-weight:bold;font-stretch:normal;font-family:monospace;-inkscape-font-specification:monospace;fill:#afabab;fill-opacity:1;stroke-width:0.29405141">GBQ</tspan></text>
+ </g>
+ <g
+ transform="matrix(0.7639736,0,0,0.7639736,270.63242,-64.753609)"
+ id="g56805"
+ style="stroke-width:1.11137545">
+ <path
+ style="fill:#adabab;fill-opacity:0.39215686;stroke:#ffffff;stroke-width:0.52249008;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m -428.29495,138.07636 h 25.82876 l 6.84864,6.7172 v 33.52589 h -32.6774 z"
+ id="rect55679-5-3"
+ inkscape:connector-curvature="0"
+ sodipodi:nodetypes="cccccc" />
+ <path
+ style="fill:#afabab;fill-opacity:1;stroke:none;stroke-width:0.56457865;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:0.39215686"
+ d="m -395.51719,144.95855 h -6.949 v -6.88219 z"
+ id="rect55701-5-6"
+ inkscape:connector-curvature="0"
+ sodipodi:nodetypes="cccc" />
+ <path
+ style="fill:#d22b28;fill-opacity:1;stroke:none;stroke-width:0.41052711;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m -428.06143,138.07636 h 25.59524 l -0.004,3.20143 h -25.59176 z"
+ id="rect55679-1-5-6"
+ inkscape:connector-curvature="0"
+ sodipodi:nodetypes="ccccc" />
+ <path
+ style="fill:#d22b28;fill-opacity:1;stroke-width:0.03987985"
+ d="m -412.94012,174.83899 c -2.39286,-0.17337 -4.25462,-0.92363 -4.80603,-1.93675 -0.20796,-0.38207 -0.1997,-0.15791 -0.1997,-5.4163 0,-5.2584 -0.008,-5.03422 0.1997,-5.41631 0.52229,-0.95963 2.12948,-1.65202 4.42926,-1.90817 0.59425,-0.0661 2.22107,-0.055 2.85272,0.0195 2.42842,0.28682 3.99755,1.04433 4.40698,2.12751 l 0.0784,0.20754 0.01,4.80836 c 0.007,3.25426 -0.003,4.88804 -0.0279,5.05486 -0.18694,1.21275 -1.86095,2.11808 -4.44966,2.40645 -0.62283,0.0695 -1.89574,0.0965 -2.49389,0.0532 z m 2.42212,-1.10913 c 1.01274,-0.12241 1.89648,-0.35364 2.52978,-0.66193 0.45831,-0.2231 0.73601,-0.43117 0.86172,-0.64568 0.0872,-0.14886 0.0893,-0.16846 0.0893,-0.89661 0,-0.40943 -0.0124,-0.73888 -0.0269,-0.73213 -0.0149,0.007 -0.16397,0.0828 -0.33145,0.16913 -1.54197,0.7942 -4.13331,1.10309 -6.47743,0.7721 -1.10764,-0.1564 -2.14234,-0.47058 -2.79149,-0.84762 -0.0946,-0.055 -0.1794,-0.0999 -0.18839,-0.0999 -0.01,0 -0.0164,0.34474 -0.0164,0.7661 v 0.76611 l 0.10825,0.14942 c 0.2826,0.39014 1.05764,0.77963 2.03963,1.02501 0.50715,0.12668 0.98591,0.20062 1.85311,0.28599 0.27949,0.0275 2.0144,-0.01 2.35036,-0.0499 z m -0.0897,-2.99878 c 1.48756,-0.16113 2.68968,-0.55239 3.26059,-1.06123 0.30547,-0.27227 0.30981,-0.28973 0.30981,-1.2474 0,-0.45588 -0.007,-0.82886 -0.0139,-0.82886 -0.008,0 -0.14893,0.0711 -0.31398,0.15803 -1.28011,0.67416 -3.50461,1.02839 -5.53905,0.88204 -1.40344,-0.10096 -2.61466,-0.38428 -3.49862,-0.81837 -0.22696,-0.11141 -0.42477,-0.20828 -0.43957,-0.21517 -0.0147,-0.007 -0.027,0.36911 -0.027,0.83552 0,0.96882 -0.004,0.94996 0.30074,1.22903 0.49729,0.45451 1.6456,0.85736 2.94812,1.03429 0.84879,0.11526 2.11973,0.12888 3.01279,0.0321 z m -0.25117,-3.17465 c 1.79501,-0.15181 3.38835,-0.72508 3.73976,-1.34554 0.0773,-0.13644 0.0806,-0.17795 0.0813,-0.99242 l 4.3e-4,-0.85007 -0.29605,0.15736 c -0.83154,0.442 -2.06898,0.76261 -3.39994,0.88088 -0.64577,0.0574 -2.00104,0.048 -2.62283,-0.0182 -1.30016,-0.13837 -2.35469,-0.41553 -3.14541,-0.82671 l -0.36781,-0.19125 v 0.87316 0.87316 l 0.11828,0.155 c 0.46867,0.61447 1.93789,1.13255 3.63158,1.28057 0.51111,0.0447 1.75415,0.0469 2.26066,0.004 z m -0.19736,-3.19261 c 1.57372,-0.11691 2.89719,-0.48754 3.5985,-1.00787 0.23246,-0.17245 0.42043,-0.42724 0.42043,-0.56986 0,-0.14316 -0.18674,-0.40773 -0.40076,-0.5678 -0.59209,-0.44282 -1.65343,-0.78705 -2.97228,-0.96401 -0.61144,-0.0821 -2.35152,-0.0922 -2.96037,-0.0173 -1.07536,0.13231 -1.92804,0.35436 -2.5836,0.67278 -0.55306,0.26864 -0.91503,0.60618 -0.91503,0.85329 0,0.28182 0.3789,0.63844 0.97521,0.91787 1.15871,0.543 3.07651,0.81371 4.8379,0.6829 z"
+ id="path56342"
+ inkscape:connector-curvature="0"
+ sodipodi:nodetypes="ccscccccscccccccsccscssccccccccssccccsccccccccccccccccsccccsscccsscc" />
+ <text
+ xml:space="preserve"
+ style="font-style:normal;font-variant:normal;font-weight:normal;font-stretch:normal;font-size:10.58333302px;line-height:1.25;font-family:monospace;-inkscape-font-specification:monospace;letter-spacing:0px;word-spacing:0px;fill:#afabab;fill-opacity:1;stroke:none;stroke-width:0.29405141"
+ x="-421.75409"
+ y="155.33165"
+ id="text55709-5-8-0"><tspan
+ sodipodi:role="line"
+ id="tspan55707-4-9-2"
+ x="-421.75409"
+ y="155.33165"
+ style="font-style:normal;font-variant:normal;font-weight:bold;font-stretch:normal;font-family:monospace;-inkscape-font-specification:monospace;fill:#afabab;fill-opacity:1;stroke-width:0.29405141">SQL</tspan></text>
+ </g>
+ <g
+ transform="translate(-4.7030536,-0.28414145)"
+ id="g12598"
+ style="stroke-width:1.11137545">
+ <path
+ style="fill:#adabab;fill-opacity:0.39215686;stroke:#ffffff;stroke-width:0.39916864;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="M -23.381309,41.017226 H -3.6488181 L 1.5833621,46.14899 V 71.761885 H -23.381309 Z"
+ id="rect55679-5-3-6"
+ inkscape:connector-curvature="0"
+ sodipodi:nodetypes="cccccc" />
+ <path
+ style="fill:#afabab;fill-opacity:1;stroke:none;stroke-width:0.4313232;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:0.39215686"
+ d="M 1.6600345,46.275038 H -3.6488181 V 41.017226 Z"
+ id="rect55701-5-6-7"
+ inkscape:connector-curvature="0"
+ sodipodi:nodetypes="cccc" />
+ <path
+ style="fill:#333333;fill-opacity:1;stroke:none;stroke-width:0.31363189;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m -23.202906,41.017226 h 19.5540879 l -0.00306,2.445808 H -23.203307 Z"
+ id="rect55679-1-5-6-5"
+ inkscape:connector-curvature="0"
+ sodipodi:nodetypes="ccccc" />
+ <text
+ xml:space="preserve"
+ style="font-style:normal;font-variant:normal;font-weight:normal;font-stretch:normal;font-size:8.08538723px;line-height:1.25;font-family:monospace;-inkscape-font-specification:monospace;letter-spacing:0px;word-spacing:0px;fill:#333333;fill-opacity:1;stroke:none;stroke-width:0.22464751"
+ x="-18.192799"
+ y="60.704777"
+ id="text55709-5-8-0-5-9"><tspan
+ sodipodi:role="line"
+ id="tspan55707-4-9-2-62-1"
+ x="-18.192799"
+ y="60.704777"
+ style="font-style:normal;font-variant:normal;font-weight:bold;font-stretch:normal;font-family:monospace;-inkscape-font-specification:monospace;fill:#333333;fill-opacity:1;stroke-width:0.22464751">...</tspan></text>
+ </g>
+ </g>
+ </g>
+ <path
+ sodipodi:nodetypes="cc"
+ inkscape:connector-curvature="0"
+ id="path6109-1"
+ d="m 152.96041,44.790275 h 26.66986"
+ style="fill:none;stroke:#000000;stroke-width:0.44455019;stroke-linecap:butt;stroke-linejoin:miter;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1;marker-end:url(#Arrow2Lend-0)" />
+ </g>
+ </g>
+</svg>
diff --git a/doc/source/_static/schemas/03_subset_columns.svg b/doc/source/_static/schemas/03_subset_columns.svg
new file mode 100644
index 0000000000000..5495d3f67bcfc
--- /dev/null
+++ b/doc/source/_static/schemas/03_subset_columns.svg
@@ -0,0 +1,327 @@
+<?xml version="1.0" encoding="UTF-8" standalone="no"?>
+<!-- Created with Inkscape (http://www.inkscape.org/) -->
+
+<svg
+ xmlns:dc="http://purl.org/dc/elements/1.1/"
+ xmlns:cc="http://creativecommons.org/ns#"
+ xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#"
+ xmlns:svg="http://www.w3.org/2000/svg"
+ xmlns="http://www.w3.org/2000/svg"
+ xmlns:sodipodi="http://sodipodi.sourceforge.net/DTD/sodipodi-0.dtd"
+ xmlns:inkscape="http://www.inkscape.org/namespaces/inkscape"
+ width="305.39435mm"
+ height="77.216072mm"
+ viewBox="0 0 305.39435 77.216072"
+ version="1.1"
+ id="svg8981"
+ inkscape:version="0.92.4 (f8dce91, 2019-08-02)"
+ sodipodi:docname="03_subset_columns.svg">
+ <defs
+ id="defs8975">
+ <marker
+ inkscape:stockid="Arrow2Lend"
+ orient="auto"
+ refY="0"
+ refX="0"
+ id="Arrow2Lend-7-6-9-4-6-6-1"
+ style="overflow:visible"
+ inkscape:isstock="true">
+ <path
+ inkscape:connector-curvature="0"
+ id="path7253-1-4-3-6-0-5-1"
+ style="fill:#000000;fill-opacity:1;fill-rule:evenodd;stroke:#000000;stroke-width:0.625;stroke-linejoin:round;stroke-opacity:1"
+ d="M 8.7185878,4.0337352 -2.2072895,0.01601326 8.7185884,-4.0017078 c -1.7454984,2.3720609 -1.7354408,5.6174519 -6e-7,8.035443 z"
+ transform="matrix(-1.1,0,0,-1.1,-1.1,0)" />
+ </marker>
+ </defs>
+ <sodipodi:namedview
+ id="base"
+ pagecolor="#ffffff"
+ bordercolor="#666666"
+ borderopacity="1.0"
+ inkscape:pageopacity="0.0"
+ inkscape:pageshadow="2"
+ inkscape:zoom="0.7"
+ inkscape:cx="515.3968"
+ inkscape:cy="188.43624"
+ inkscape:document-units="mm"
+ inkscape:current-layer="layer1"
+ showgrid="false"
+ fit-margin-top="0"
+ fit-margin-left="0"
+ fit-margin-right="0"
+ fit-margin-bottom="0"
+ inkscape:window-width="1551"
+ inkscape:window-height="849"
+ inkscape:window-x="49"
+ inkscape:window-y="27"
+ inkscape:window-maximized="1" />
+ <metadata
+ id="metadata8978">
+ <rdf:RDF>
+ <cc:Work
+ rdf:about="">
+ <dc:format>image/svg+xml</dc:format>
+ <dc:type
+ rdf:resource="http://purl.org/dc/dcmitype/StillImage" />
+ <dc:title></dc:title>
+ </cc:Work>
+ </rdf:RDF>
+ </metadata>
+ <g
+ inkscape:label="Layer 1"
+ inkscape:groupmode="layer"
+ id="layer1"
+ transform="translate(221.9424,-112.49315)">
+ <g
+ id="g10981"
+ transform="matrix(0.89983205,0,0,0.89933244,-6.9361517,15.210989)"
+ style="stroke-width:1.1116271">
+ <g
+ transform="translate(3.4400191e-6)"
+ id="g10300"
+ style="stroke-width:1.1116271">
+ <path
+ d="M 6.4919652,138.65319 H 31.379905 V 126.46518 H 6.4919652 Z"
+ style="fill:#afabab;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56920707;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ id="path4891-1-50-8-2-1-74-5-5-6-2"
+ inkscape:connector-curvature="0" />
+ <path
+ d="m 32.907955,124.93718 h 24.88796 v -12.188 h -24.88796 z"
+ style="fill:#ffca00;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56920707;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ id="path4891-1-50-8-2-7-17-47-3-7-2"
+ inkscape:connector-curvature="0" />
+ <path
+ d="m 32.907955,138.65319 h 24.88796 v -12.18801 h -24.88796 z"
+ style="fill:#ffca00;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56920707;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ id="path4891-1-50-8-2-1-9-1-8-1-5-8"
+ inkscape:connector-curvature="0" />
+ <path
+ d="M 6.4919552,151.35319 H 31.379905 V 139.16518 H 6.4919552 Z"
+ style="fill:#afabab;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56920707;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ id="path4891-1-50-8-2-2-1-6-4-3-9"
+ inkscape:connector-curvature="0" />
+ <path
+ d="m 32.907955,151.35319 h 24.88796 v -12.18801 h -24.88796 z"
+ style="fill:#ffca00;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56920707;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ id="path4891-1-50-8-2-7-5-1-0-20-5-7"
+ inkscape:connector-curvature="0" />
+ <path
+ d="m 58.307955,124.93718 h 24.88796 v -12.188 h -24.88796 z"
+ style="fill:#ffca00;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56920707;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ id="path4891-1-50-8-2-6-7-0-1-6-3"
+ inkscape:connector-curvature="0" />
+ <path
+ d="m 58.307955,138.65319 h 24.88796 v -12.18801 h -24.88796 z"
+ style="fill:#ffca00;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56920707;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ id="path4891-1-50-8-2-1-5-0-64-3-2-6"
+ inkscape:connector-curvature="0" />
+ <path
+ d="m 58.307955,151.35319 h 24.88796 v -12.18801 h -24.88796 z"
+ style="fill:#ffca00;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56920707;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ id="path4891-1-50-8-2-2-3-4-37-0-9-1"
+ inkscape:connector-curvature="0" />
+ <path
+ d="M 6.4919652,164.05319 H 31.379905 V 151.86528 H 6.4919652 Z"
+ style="fill:#afabab;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56920707;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ id="path4891-1-50-8-2-1-7-0-5-0-1-2"
+ inkscape:connector-curvature="0" />
+ <path
+ d="m 32.907955,164.05319 h 24.88796 v -12.18791 h -24.88796 z"
+ style="fill:#ffca00;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56920707;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ id="path4891-1-50-8-2-1-9-8-8-8-4-2-9"
+ inkscape:connector-curvature="0" />
+ <path
+ d="m 58.307955,164.05319 h 24.88796 v -12.18791 h -24.88796 z"
+ style="fill:#ffca00;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56920707;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ id="path4891-1-50-8-2-1-7-8-51-10-8-7-3"
+ inkscape:connector-curvature="0" />
+ <path
+ d="M 6.4919652,176.75319 H 31.379905 V 164.56518 H 6.4919652 Z"
+ style="fill:#afabab;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56920707;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ id="path4891-1-50-8-2-1-74-5-8-8-1-3"
+ inkscape:connector-curvature="0" />
+ <path
+ d="m 32.907955,176.75319 h 24.88796 v -12.18801 h -24.88796 z"
+ style="fill:#ffca00;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56920707;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ id="path4891-1-50-8-2-1-9-1-8-5-2-8-6"
+ inkscape:connector-curvature="0" />
+ <path
+ d="M 6.4919552,189.45319 H 31.379905 V 177.26518 H 6.4919552 Z"
+ style="fill:#afabab;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56920707;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ id="path4891-1-50-8-2-2-1-6-0-5-7-1"
+ inkscape:connector-curvature="0" />
+ <path
+ d="m 32.907955,189.45319 h 24.88796 v -12.18801 h -24.88796 z"
+ style="fill:#ffca00;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56920707;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ id="path4891-1-50-8-2-7-5-1-0-2-4-9-0"
+ inkscape:connector-curvature="0" />
+ <path
+ d="m 58.307955,176.75319 h 24.88796 v -12.18801 h -24.88796 z"
+ style="fill:#ffca00;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56920707;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ id="path4891-1-50-8-2-1-5-0-64-2-7-2-6"
+ inkscape:connector-curvature="0" />
+ <path
+ d="m 58.307955,189.45319 h 24.88796 v -12.18801 h -24.88796 z"
+ style="fill:#ffca00;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56920707;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ id="path4891-1-50-8-2-2-3-4-37-8-5-0-3"
+ inkscape:connector-curvature="0" />
+ </g>
+ <g
+ transform="translate(-1.765534e-6,2.601185)"
+ id="g10331"
+ style="stroke-width:1.1116271">
+ <path
+ d="m -221.68636,136.052 h 24.88794 v -12.188 h -24.88794 z"
+ style="fill:#afabab;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56920707;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ id="path4891-1-50-8-2-1-74-5-5-6"
+ inkscape:connector-curvature="0" />
+ <path
+ d="m -195.27037,122.33599 h 24.88796 v -12.188 h -24.88796 z"
+ style="fill:#afabab;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56920707;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ id="path4891-1-50-8-2-7-17-47-3-7"
+ inkscape:connector-curvature="0" />
+ <path
+ d="m -195.27037,136.052 h 24.88796 v -12.18801 h -24.88796 z"
+ style="fill:#afabab;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56920707;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ id="path4891-1-50-8-2-1-9-1-8-1-5"
+ inkscape:connector-curvature="0" />
+ <path
+ d="m -221.68637,148.75201 h 24.88795 v -12.18802 h -24.88795 z"
+ style="fill:#afabab;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56920707;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ id="path4891-1-50-8-2-2-1-6-4-3"
+ inkscape:connector-curvature="0" />
+ <path
+ d="m -195.27037,148.75201 h 24.88796 V 136.564 h -24.88796 z"
+ style="fill:#afabab;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56920707;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ id="path4891-1-50-8-2-7-5-1-0-20-5"
+ inkscape:connector-curvature="0" />
+ <path
+ d="m -169.87037,122.33599 h 24.88796 v -12.188 h -24.88796 z"
+ style="fill:#ffca00;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56920707;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ id="path4891-1-50-8-2-6-7-0-1-6"
+ inkscape:connector-curvature="0" />
+ <path
+ d="m -169.87037,136.052 h 24.88796 v -12.18801 h -24.88796 z"
+ style="fill:#ffca00;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56920707;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ id="path4891-1-50-8-2-1-5-0-64-3-2"
+ inkscape:connector-curvature="0" />
+ <path
+ d="m -169.87037,148.75201 h 24.88796 V 136.564 h -24.88796 z"
+ style="fill:#ffca00;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56920707;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ id="path4891-1-50-8-2-2-3-4-37-0-9"
+ inkscape:connector-curvature="0" />
+ <path
+ d="m -221.68636,161.45201 h 24.88794 V 149.2641 h -24.88794 z"
+ style="fill:#afabab;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56920707;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ id="path4891-1-50-8-2-1-7-0-5-0-1"
+ inkscape:connector-curvature="0" />
+ <path
+ d="m -195.27037,161.45201 h 24.88796 V 149.2641 h -24.88796 z"
+ style="fill:#afabab;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56920707;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ id="path4891-1-50-8-2-1-9-8-8-8-4-2"
+ inkscape:connector-curvature="0" />
+ <path
+ d="m -169.87037,161.45201 h 24.88796 V 149.2641 h -24.88796 z"
+ style="fill:#ffca00;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56920707;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ id="path4891-1-50-8-2-1-7-8-51-10-8-7"
+ inkscape:connector-curvature="0" />
+ <path
+ d="m -144.47037,161.45201 h 24.88796 V 149.2641 h -24.88796 z"
+ style="fill:#afabab;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56920707;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ id="path4891-1-50-8-2-1-9-8-2-0-67-2-0"
+ inkscape:connector-curvature="0" />
+ <path
+ d="m -144.47037,122.33599 h 24.88796 v -12.188 h -24.88796 z"
+ style="fill:#afabab;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56920707;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ id="path4891-1-50-8-2-7-8-8-0-2-9"
+ inkscape:connector-curvature="0" />
+ <path
+ d="m -144.47037,136.052 h 24.88796 v -12.188 h -24.88796 z"
+ style="fill:#afabab;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56920707;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ id="path4891-1-50-8-2-1-9-4-1-8-0-3"
+ inkscape:connector-curvature="0" />
+ <path
+ d="m -144.47037,148.75201 h 24.88796 v -12.18802 h -24.88796 z"
+ style="fill:#afabab;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56920707;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ id="path4891-1-50-8-2-7-5-5-0-19-24-6"
+ inkscape:connector-curvature="0" />
+ <path
+ d="m -119.07037,161.45201 h 24.88793 V 149.2641 h -24.88793 z"
+ style="fill:#ffca00;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56920707;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ id="path4891-1-50-8-2-1-9-8-2-4-7-85-5-0"
+ inkscape:connector-curvature="0" />
+ <path
+ d="m -119.07037,122.33599 h 24.88793 v -12.188 h -24.88793 z"
+ style="fill:#ffca00;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56920707;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ id="path4891-1-50-8-2-7-8-2-5-01-8-6"
+ inkscape:connector-curvature="0" />
+ <path
+ d="m -119.07037,136.052 h 24.88793 v -12.18801 h -24.88793 z"
+ style="fill:#ffca00;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56920707;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ id="path4891-1-50-8-2-1-9-4-2-6-59-4-2"
+ inkscape:connector-curvature="0" />
+ <path
+ d="m -119.07037,148.75201 h 24.88793 V 136.564 h -24.88793 z"
+ style="fill:#ffca00;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56920707;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ id="path4891-1-50-8-2-7-5-5-1-4-7-0-6"
+ inkscape:connector-curvature="0" />
+ <path
+ d="m -221.68636,174.152 h 24.88794 v -12.18801 h -24.88794 z"
+ style="fill:#afabab;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56920707;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ id="path4891-1-50-8-2-1-74-5-8-8-1"
+ inkscape:connector-curvature="0" />
+ <path
+ d="m -195.27037,174.152 h 24.88796 v -12.18801 h -24.88796 z"
+ style="fill:#adabab;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56920707;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ id="path4891-1-50-8-2-1-9-1-8-5-2-8"
+ inkscape:connector-curvature="0" />
+ <path
+ d="m -221.68637,186.85201 h 24.88795 v -12.18802 h -24.88795 z"
+ style="fill:#afabab;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56920707;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ id="path4891-1-50-8-2-2-1-6-0-5-7"
+ inkscape:connector-curvature="0" />
+ <path
+ d="m -195.27037,186.85201 h 24.88796 V 174.664 h -24.88796 z"
+ style="fill:#adabab;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56920707;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ id="path4891-1-50-8-2-7-5-1-0-2-4-9"
+ inkscape:connector-curvature="0" />
+ <path
+ d="m -169.87037,174.152 h 24.88796 v -12.18801 h -24.88796 z"
+ style="fill:#ffca00;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56920707;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ id="path4891-1-50-8-2-1-5-0-64-2-7-2"
+ inkscape:connector-curvature="0" />
+ <path
+ d="m -169.87037,186.85201 h 24.88796 V 174.664 h -24.88796 z"
+ style="fill:#ffca00;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56920707;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ id="path4891-1-50-8-2-2-3-4-37-8-5-0"
+ inkscape:connector-curvature="0" />
+ <path
+ d="m -144.47037,174.152 h 24.88796 v -12.18801 h -24.88796 z"
+ style="fill:#adabab;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56920707;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ id="path4891-1-50-8-2-1-9-4-1-8-5-5-2"
+ inkscape:connector-curvature="0" />
+ <path
+ d="m -144.47037,186.85201 h 24.88796 v -12.18802 h -24.88796 z"
+ style="fill:#adabab;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56920707;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ id="path4891-1-50-8-2-7-5-5-0-19-2-2-3"
+ inkscape:connector-curvature="0" />
+ <path
+ d="m -119.07037,174.152 h 24.88793 v -12.18801 h -24.88793 z"
+ style="fill:#ffca00;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56920707;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ id="path4891-1-50-8-2-1-9-4-2-6-59-7-8-7"
+ inkscape:connector-curvature="0" />
+ <path
+ d="m -119.07037,186.85201 h 24.88793 V 174.664 h -24.88793 z"
+ style="fill:#ffca00;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56920707;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ id="path4891-1-50-8-2-7-5-5-1-4-7-3-6-5"
+ inkscape:connector-curvature="0" />
+ </g>
+ <path
+ inkscape:connector-curvature="0"
+ id="path6109-2-9-6-9-7"
+ d="m -68.124379,151.10823 h 47.88959"
+ style="fill:none;stroke:#000000;stroke-width:0.44465086;stroke-linecap:butt;stroke-linejoin:miter;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1;marker-end:url(#Arrow2Lend-7-6-9-4-6-6-1)" />
+ </g>
+ </g>
+</svg>
diff --git a/doc/source/_static/schemas/03_subset_columns_rows.svg b/doc/source/_static/schemas/03_subset_columns_rows.svg
new file mode 100644
index 0000000000000..5ea9d609ec1c3
--- /dev/null
+++ b/doc/source/_static/schemas/03_subset_columns_rows.svg
@@ -0,0 +1,272 @@
+<?xml version="1.0" encoding="UTF-8" standalone="no"?>
+<!-- Created with Inkscape (http://www.inkscape.org/) -->
+
+<svg
+ xmlns:dc="http://purl.org/dc/elements/1.1/"
+ xmlns:cc="http://creativecommons.org/ns#"
+ xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#"
+ xmlns:svg="http://www.w3.org/2000/svg"
+ xmlns="http://www.w3.org/2000/svg"
+ xmlns:sodipodi="http://sodipodi.sourceforge.net/DTD/sodipodi-0.dtd"
+ xmlns:inkscape="http://www.inkscape.org/namespaces/inkscape"
+ width="247.37685mm"
+ height="62.54488mm"
+ viewBox="0 0 247.37685 62.54488"
+ version="1.1"
+ id="svg8981"
+ sodipodi:docname="03_subset_columns_rows.svg"
+ inkscape:version="0.92.4 (f8dce91, 2019-08-02)">
+ <defs
+ id="defs8975">
+ <marker
+ inkscape:stockid="Arrow2Lend"
+ orient="auto"
+ refY="0"
+ refX="0"
+ id="Arrow2Lend-7-6-9-4-6-6-1"
+ style="overflow:visible"
+ inkscape:isstock="true">
+ <path
+ inkscape:connector-curvature="0"
+ id="path7253-1-4-3-6-0-5-1"
+ style="fill:#000000;fill-opacity:1;fill-rule:evenodd;stroke:#000000;stroke-width:0.625;stroke-linejoin:round;stroke-opacity:1"
+ d="M 8.7185878,4.0337352 -2.2072895,0.01601326 8.7185884,-4.0017078 c -1.7454984,2.3720609 -1.7354408,5.6174519 -6e-7,8.035443 z"
+ transform="matrix(-1.1,0,0,-1.1,-1.1,0)" />
+ </marker>
+ </defs>
+ <sodipodi:namedview
+ id="base"
+ pagecolor="#ffffff"
+ bordercolor="#666666"
+ borderopacity="1.0"
+ inkscape:pageopacity="0.0"
+ inkscape:pageshadow="2"
+ inkscape:zoom="0.7"
+ inkscape:cx="382.49796"
+ inkscape:cy="12.478764"
+ inkscape:document-units="mm"
+ inkscape:current-layer="g10981"
+ showgrid="false"
+ fit-margin-top="0"
+ fit-margin-left="0"
+ fit-margin-right="0"
+ fit-margin-bottom="0"
+ inkscape:window-width="1551"
+ inkscape:window-height="849"
+ inkscape:window-x="49"
+ inkscape:window-y="27"
+ inkscape:window-maximized="1" />
+ <metadata
+ id="metadata8978">
+ <rdf:RDF>
+ <cc:Work
+ rdf:about="">
+ <dc:format>image/svg+xml</dc:format>
+ <dc:type
+ rdf:resource="http://purl.org/dc/dcmitype/StillImage" />
+ <dc:title></dc:title>
+ </cc:Work>
+ </rdf:RDF>
+ </metadata>
+ <g
+ inkscape:label="Layer 1"
+ inkscape:groupmode="layer"
+ id="layer1"
+ transform="translate(190.64444,-119.82874)">
+ <g
+ id="g10981"
+ transform="matrix(0.89983205,0,0,0.89933244,-6.9361517,15.210989)"
+ style="stroke-width:1.1116271">
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-1-74-5-5-6-6"
+ style="fill:#ffca00;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56920707;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="M -5.3791094,156.43886 H 14.771891 v -9.8551 H -5.3791094 Z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-7-17-47-3-7-4"
+ style="fill:#ffca00;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56920707;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m 16.009106,145.34823 h 20.151016 v -9.85509 H 16.009106 Z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-1-9-1-8-1-5-9"
+ style="fill:#ffca00;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56920707;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m 16.009106,156.43886 h 20.151016 v -9.8551 H 16.009106 Z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-2-1-6-4-3-5"
+ style="fill:#ffca00;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56920707;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="M -5.3791175,166.70796 H 14.771891 v -9.85511 H -5.3791175 Z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-7-5-1-0-20-5-0"
+ style="fill:#ffca00;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56920707;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m 16.009106,166.70796 h 20.151016 v -9.8551 H 16.009106 Z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-6-7-0-1-6-4"
+ style="fill:#ffca00;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56920707;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m 36.574705,145.34823 h 20.151017 v -9.85509 H 36.574705 Z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-1-5-0-64-3-2-8"
+ style="fill:#ffca00;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56920707;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m 36.574705,156.43886 h 20.151017 v -9.8551 H 36.574705 Z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-2-3-4-37-0-9-7"
+ style="fill:#ffca00;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56920707;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m 36.574705,166.70796 h 20.151017 v -9.8551 H 36.574705 Z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-1-74-5-5-6"
+ style="fill:#afabab;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56920707;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m -190.12809,141.03585 h 20.15101 v -9.85509 h -20.15101 z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-7-17-47-3-7"
+ style="fill:#ffca00;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56920707;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m -168.73986,129.94522 h 20.15101 v -9.85509 h -20.15101 z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-1-9-1-8-1-5"
+ style="fill:#adabab;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56920707;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m -168.73986,141.03585 h 20.15101 v -9.8551 h -20.15101 z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-2-1-6-4-3"
+ style="fill:#ffca00;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56920707;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m -190.12809,151.30495 h 20.15101 v -9.85511 h -20.15101 z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-7-5-1-0-20-5"
+ style="fill:#ffca00;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56920707;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m -168.73986,151.30495 h 20.15101 v -9.85511 h -20.15101 z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-6-7-0-1-6"
+ style="fill:#afabab;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56920707;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m -148.17427,129.94522 h 20.15102 v -9.85509 h -20.15102 z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-1-5-0-64-3-2"
+ style="fill:#adabab;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56920707;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m -148.17427,141.03585 h 20.15102 v -9.8551 h -20.15102 z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-2-3-4-37-0-9"
+ style="fill:#adabab;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56920707;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m -148.17427,151.30495 h 20.15102 v -9.85511 h -20.15102 z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-1-7-0-5-0-1"
+ style="fill:#afabab;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56920707;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m -190.12809,161.57404 h 20.15101 v -9.85502 h -20.15101 z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-1-9-8-8-8-4-2"
+ style="fill:#adabab;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56920707;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m -168.73986,161.57404 h 20.15101 v -9.85502 h -20.15101 z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-1-7-8-51-10-8-7"
+ style="fill:#adabab;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56920707;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m -148.17427,161.57404 h 20.15102 v -9.85502 h -20.15102 z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-1-9-8-2-0-67-2-0"
+ style="fill:#adabab;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56920707;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m -127.60867,161.57404 h 20.15102 v -9.85502 h -20.15102 z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-7-8-8-0-2-9"
+ style="fill:#afabab;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56920707;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m -127.60867,129.94522 h 20.15102 v -9.85509 h -20.15102 z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-1-9-4-1-8-0-3"
+ style="fill:#adabab;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56920707;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m -127.60867,141.03585 h 20.15102 v -9.85509 h -20.15102 z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-7-5-5-0-19-24-6"
+ style="fill:#adabab;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56920707;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m -127.60867,151.30495 h 20.15102 v -9.85511 h -20.15102 z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-1-9-8-2-4-7-85-5-0"
+ style="fill:#adabab;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56920707;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m -107.04307,161.57404 h 20.150992 v -9.85502 h -20.150992 z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-7-8-2-5-01-8-6"
+ style="fill:#ffca00;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56920707;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m -107.04307,129.94522 h 20.150992 v -9.85509 h -20.150992 z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-1-9-4-2-6-59-4-2"
+ style="fill:#adabab;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56920707;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m -107.04307,141.03585 h 20.150992 v -9.8551 h -20.150992 z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-7-5-5-1-4-7-0-6"
+ style="fill:#ffca00;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56920707;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m -107.04307,151.30495 h 20.150992 v -9.85511 h -20.150992 z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-1-74-5-8-8-1"
+ style="fill:#ffca00;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56920707;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m -190.12809,171.84313 h 20.15101 v -9.8551 h -20.15101 z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-1-9-1-8-5-2-8"
+ style="fill:#ffca00;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56920707;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m -168.73986,171.84313 h 20.15101 v -9.8551 h -20.15101 z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-2-1-6-0-5-7"
+ style="fill:#afabab;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56920707;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m -190.12809,182.11223 h 20.15101 v -9.85511 h -20.15101 z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-7-5-1-0-2-4-9"
+ style="fill:#adabab;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56920707;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m -168.73986,182.11223 h 20.15101 v -9.8551 h -20.15101 z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-1-5-0-64-2-7-2"
+ style="fill:#adabab;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56920707;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m -148.17427,171.84313 h 20.15102 v -9.8551 h -20.15102 z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-2-3-4-37-8-5-0"
+ style="fill:#adabab;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56920707;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m -148.17427,182.11223 h 20.15102 v -9.8551 h -20.15102 z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-1-9-4-1-8-5-5-2"
+ style="fill:#adabab;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56920707;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m -127.60867,171.84313 h 20.15102 v -9.8551 h -20.15102 z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-7-5-5-0-19-2-2-3"
+ style="fill:#adabab;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56920707;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m -127.60867,182.11223 h 20.15102 v -9.85511 h -20.15102 z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-1-9-4-2-6-59-7-8-7"
+ style="fill:#ffca00;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56920707;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m -107.04307,171.84313 h 20.150992 v -9.8551 h -20.150992 z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-7-5-5-1-4-7-3-6-5"
+ style="fill:#adabab;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56920707;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m -107.04307,182.11223 h 20.150992 v -9.8551 h -20.150992 z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path6109-2-9-6-9-7"
+ d="m -65.823888,151.10688 h 38.774729"
+ style="fill:none;stroke:#000000;stroke-width:0.44465086;stroke-linecap:butt;stroke-linejoin:miter;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1;marker-end:url(#Arrow2Lend-7-6-9-4-6-6-1)" />
+ </g>
+ </g>
+</svg>
diff --git a/doc/source/_static/schemas/03_subset_rows.svg b/doc/source/_static/schemas/03_subset_rows.svg
new file mode 100644
index 0000000000000..41fe07d7fc34e
--- /dev/null
+++ b/doc/source/_static/schemas/03_subset_rows.svg
@@ -0,0 +1,316 @@
+<?xml version="1.0" encoding="UTF-8" standalone="no"?>
+<!-- Created with Inkscape (http://www.inkscape.org/) -->
+
+<svg
+ xmlns:dc="http://purl.org/dc/elements/1.1/"
+ xmlns:cc="http://creativecommons.org/ns#"
+ xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#"
+ xmlns:svg="http://www.w3.org/2000/svg"
+ xmlns="http://www.w3.org/2000/svg"
+ xmlns:sodipodi="http://sodipodi.sourceforge.net/DTD/sodipodi-0.dtd"
+ xmlns:inkscape="http://www.inkscape.org/namespaces/inkscape"
+ width="320.56647mm"
+ height="69.494316mm"
+ viewBox="0 0 320.56647 69.494316"
+ version="1.1"
+ id="svg8981"
+ sodipodi:docname="03_subset_rows.svg"
+ inkscape:version="0.92.4 (f8dce91, 2019-08-02)">
+ <defs
+ id="defs8975">
+ <marker
+ inkscape:stockid="Arrow2Lend"
+ orient="auto"
+ refY="0"
+ refX="0"
+ id="Arrow2Lend-7-6-9-4-6-6-1"
+ style="overflow:visible"
+ inkscape:isstock="true">
+ <path
+ inkscape:connector-curvature="0"
+ id="path7253-1-4-3-6-0-5-1"
+ style="fill:#000000;fill-opacity:1;fill-rule:evenodd;stroke:#000000;stroke-width:0.625;stroke-linejoin:round;stroke-opacity:1"
+ d="M 8.7185878,4.0337352 -2.2072895,0.01601326 8.7185884,-4.0017078 c -1.7454984,2.3720609 -1.7354408,5.6174519 -6e-7,8.035443 z"
+ transform="matrix(-1.1,0,0,-1.1,-1.1,0)" />
+ </marker>
+ </defs>
+ <sodipodi:namedview
+ id="base"
+ pagecolor="#ffffff"
+ bordercolor="#666666"
+ borderopacity="1.0"
+ inkscape:pageopacity="0.0"
+ inkscape:pageshadow="2"
+ inkscape:zoom="0.49497475"
+ inkscape:cx="838.29471"
+ inkscape:cy="34.832455"
+ inkscape:document-units="mm"
+ inkscape:current-layer="g10981"
+ showgrid="false"
+ fit-margin-top="0"
+ fit-margin-left="0"
+ fit-margin-right="0"
+ fit-margin-bottom="0"
+ inkscape:window-width="1551"
+ inkscape:window-height="849"
+ inkscape:window-x="49"
+ inkscape:window-y="27"
+ inkscape:window-maximized="1" />
+ <metadata
+ id="metadata8978">
+ <rdf:RDF>
+ <cc:Work
+ rdf:about="">
+ <dc:format>image/svg+xml</dc:format>
+ <dc:type
+ rdf:resource="http://purl.org/dc/dcmitype/StillImage" />
+ <dc:title></dc:title>
+ </cc:Work>
+ </rdf:RDF>
+ </metadata>
+ <g
+ inkscape:label="Layer 1"
+ inkscape:groupmode="layer"
+ id="layer1"
+ transform="translate(206.67275,-116.35402)">
+ <g
+ id="g10981"
+ transform="matrix(0.89983205,0,0,0.89933244,-6.9361517,15.210989)"
+ style="stroke-width:1.1116271">
+ <g
+ id="g11450"
+ transform="matrix(0.89983997,0,0,0.89925792,-4.3915493,15.222243)"
+ style="stroke-width:1.23576057">
+ <g
+ transform="translate(-1.1404361e-5)"
+ id="g11347"
+ style="stroke-width:1.23576057">
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-1-74-5-5-6-6"
+ style="fill:#ffca00;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.63276947;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m 6.49197,157.7024 h 24.88794 v -12.188 H 6.49197 Z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-7-17-47-3-7-4"
+ style="fill:#afabab;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.63276947;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m 32.90796,143.98639 h 24.88796 v -12.188 H 32.90796 Z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-1-9-1-8-1-5-9"
+ style="fill:#ffca00;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.63276947;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="M 32.90796,157.7024 H 57.79592 V 145.51439 H 32.90796 Z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-2-1-6-4-3-5"
+ style="fill:#ffca00;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.63276947;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="M 6.49196,170.40241 H 31.37991 V 158.21439 H 6.49196 Z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-7-5-1-0-20-5-0"
+ style="fill:#ffca00;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.63276947;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="M 32.90796,170.40241 H 57.79592 V 158.2144 H 32.90796 Z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-6-7-0-1-6-4"
+ style="fill:#afabab;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.63276947;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m 58.30796,143.98639 h 24.88796 v -12.188 H 58.30796 Z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-1-5-0-64-3-2-8"
+ style="fill:#ffca00;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.63276947;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="M 58.30796,157.7024 H 83.19592 V 145.51439 H 58.30796 Z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-2-3-4-37-0-9-7"
+ style="fill:#ffca00;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.63276947;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="M 58.30796,170.40241 H 83.19592 V 158.2144 H 58.30796 Z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-7-8-8-0-2-9-2"
+ style="fill:#afabab;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.63276947;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m 83.70796,143.98639 h 24.88796 v -12.188 H 83.70796 Z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-1-9-4-1-8-0-3-2"
+ style="fill:#ffca00;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.63276947;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m 83.70796,157.7024 h 24.88796 v -12.188 H 83.70796 Z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-7-5-5-0-19-24-6-6"
+ style="fill:#ffca00;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.63276947;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m 83.70796,170.40241 h 24.88796 V 158.21439 H 83.70796 Z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-7-8-2-5-01-8-6-0"
+ style="fill:#afabab;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.63276947;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m 109.10796,143.98639 h 24.88793 v -12.188 h -24.88793 z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-1-9-4-2-6-59-4-2-6"
+ style="fill:#ffca00;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.63276947;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m 109.10796,157.7024 h 24.88793 v -12.18801 h -24.88793 z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-7-5-5-1-4-7-0-6-1"
+ style="fill:#ffca00;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.63276947;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m 109.10796,170.40241 h 24.88793 V 158.2144 h -24.88793 z" />
+ </g>
+ <g
+ id="g11378"
+ style="stroke-width:1.23576057">
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-1-74-5-5-6"
+ style="fill:#afabab;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.63276947;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m -221.68636,138.65318 h 24.88794 v -12.188 h -24.88794 z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-7-17-47-3-7"
+ style="fill:#afabab;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.63276947;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m -195.27037,124.93717 h 24.88796 v -12.188 h -24.88796 z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-1-9-1-8-1-5"
+ style="fill:#afabab;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.63276947;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m -195.27037,138.65318 h 24.88796 v -12.18801 h -24.88796 z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-2-1-6-4-3"
+ style="fill:#ffca00;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.63276947;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m -221.68637,151.35319 h 24.88795 v -12.18802 h -24.88795 z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-7-5-1-0-20-5"
+ style="fill:#ffca00;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.63276947;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m -195.27037,151.35319 h 24.88796 v -12.18801 h -24.88796 z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-6-7-0-1-6"
+ style="fill:#afabab;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.63276947;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m -169.87037,124.93717 h 24.88796 v -12.188 h -24.88796 z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-1-5-0-64-3-2"
+ style="fill:#adabab;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.63276947;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m -169.87037,138.65318 h 24.88796 v -12.18801 h -24.88796 z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-2-3-4-37-0-9"
+ style="fill:#ffca00;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.63276947;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m -169.87037,151.35319 h 24.88796 v -12.18801 h -24.88796 z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-1-7-0-5-0-1"
+ style="fill:#afabab;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.63276947;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m -221.68636,164.05319 h 24.88794 v -12.18791 h -24.88794 z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-1-9-8-8-8-4-2"
+ style="fill:#afabab;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.63276947;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m -195.27037,164.05319 h 24.88796 v -12.18791 h -24.88796 z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-1-7-8-51-10-8-7"
+ style="fill:#adabab;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.63276947;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m -169.87037,164.05319 h 24.88796 v -12.18791 h -24.88796 z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-1-9-8-2-0-67-2-0"
+ style="fill:#adabab;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.63276947;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m -144.47037,164.05319 h 24.88796 v -12.18791 h -24.88796 z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-7-8-8-0-2-9"
+ style="fill:#afabab;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.63276947;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m -144.47037,124.93717 h 24.88796 v -12.188 h -24.88796 z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-1-9-4-1-8-0-3"
+ style="fill:#adabab;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.63276947;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m -144.47037,138.65318 h 24.88796 v -12.188 h -24.88796 z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-7-5-5-0-19-24-6"
+ style="fill:#ffca00;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.63276947;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m -144.47037,151.35319 h 24.88796 v -12.18802 h -24.88796 z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-1-9-8-2-4-7-85-5-0"
+ style="fill:#adabab;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.63276947;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m -119.07037,164.05319 h 24.887928 v -12.18791 h -24.887928 z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-7-8-2-5-01-8-6"
+ style="fill:#afabab;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.63276947;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m -119.07037,124.93717 h 24.887928 v -12.188 h -24.887928 z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-1-9-4-2-6-59-4-2"
+ style="fill:#adabab;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.63276947;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m -119.07037,138.65318 h 24.887928 v -12.18801 h -24.887928 z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-7-5-5-1-4-7-0-6"
+ style="fill:#ffca00;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.63276947;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m -119.07037,151.35319 h 24.887928 v -12.18801 h -24.887928 z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-1-74-5-8-8-1"
+ style="fill:#ffca00;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.63276947;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m -221.68636,176.75318 h 24.88794 v -12.18801 h -24.88794 z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-1-9-1-8-5-2-8"
+ style="fill:#ffca00;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.63276947;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m -195.27037,176.75318 h 24.88796 v -12.18801 h -24.88796 z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-2-1-6-0-5-7"
+ style="fill:#afabab;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.63276947;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m -221.68637,189.45319 h 24.88795 v -12.18802 h -24.88795 z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-7-5-1-0-2-4-9"
+ style="fill:#adabab;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.63276947;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m -195.27037,189.45319 h 24.88796 v -12.18801 h -24.88796 z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-1-5-0-64-2-7-2"
+ style="fill:#ffca00;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.63276947;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m -169.87037,176.75318 h 24.88796 v -12.18801 h -24.88796 z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-2-3-4-37-8-5-0"
+ style="fill:#adabab;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.63276947;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m -169.87037,189.45319 h 24.88796 v -12.18801 h -24.88796 z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-1-9-4-1-8-5-5-2"
+ style="fill:#ffca00;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.63276947;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m -144.47037,176.75318 h 24.88796 v -12.18801 h -24.88796 z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-7-5-5-0-19-2-2-3"
+ style="fill:#adabab;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.63276947;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m -144.47037,189.45319 h 24.88796 v -12.18802 h -24.88796 z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-1-9-4-2-6-59-7-8-7"
+ style="fill:#ffca00;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.63276947;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m -119.07037,176.75318 h 24.887928 v -12.18801 h -24.887928 z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-7-5-5-1-4-7-3-6-5"
+ style="fill:#adabab;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.63276947;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m -119.07037,189.45319 h 24.887928 v -12.18801 h -24.887928 z" />
+ </g>
+ <path
+ style="fill:none;stroke:#000000;stroke-width:0.49430427;stroke-linecap:butt;stroke-linejoin:miter;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1;marker-end:url(#Arrow2Lend-7-6-9-4-6-6-1)"
+ d="m -68.161706,151.10823 h 47.88959"
+ id="path6109-2-9-6-9-7"
+ inkscape:connector-curvature="0" />
+ </g>
+ </g>
+ </g>
+</svg>
diff --git a/doc/source/_static/schemas/04_plot_overview.svg b/doc/source/_static/schemas/04_plot_overview.svg
new file mode 100644
index 0000000000000..44ae5b6ae5e33
--- /dev/null
+++ b/doc/source/_static/schemas/04_plot_overview.svg
@@ -0,0 +1,6443 @@
+<?xml version="1.0" encoding="UTF-8" standalone="no"?>
+<!-- Created with Inkscape (http://www.inkscape.org/) -->
+
+<svg
+ xmlns:dc="http://purl.org/dc/elements/1.1/"
+ xmlns:cc="http://creativecommons.org/ns#"
+ xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#"
+ xmlns:svg="http://www.w3.org/2000/svg"
+ xmlns="http://www.w3.org/2000/svg"
+ xmlns:sodipodi="http://sodipodi.sourceforge.net/DTD/sodipodi-0.dtd"
+ xmlns:inkscape="http://www.inkscape.org/namespaces/inkscape"
+ width="279.05978mm"
+ height="79.448936mm"
+ viewBox="0 0 279.05978 79.448937"
+ version="1.1"
+ id="svg15565"
+ inkscape:version="0.92.4 (f8dce91, 2019-08-02)"
+ sodipodi:docname="04_plot_overview.svg">
+ <defs
+ id="defs15559">
+ <marker
+ inkscape:stockid="Arrow2Lend"
+ orient="auto"
+ refY="0"
+ refX="0"
+ id="Arrow2Lend-7"
+ style="overflow:visible"
+ inkscape:isstock="true">
+ <path
+ inkscape:connector-curvature="0"
+ id="path7253-1"
+ style="fill:#000000;fill-opacity:1;fill-rule:evenodd;stroke:#000000;stroke-width:0.625;stroke-linejoin:round;stroke-opacity:1"
+ d="M 8.7185878,4.0337352 -2.2072895,0.01601326 8.7185884,-4.0017078 c -1.7454984,2.3720609 -1.7354408,5.6174519 -6e-7,8.035443 z"
+ transform="matrix(-1.1,0,0,-1.1,-1.1,0)" />
+ </marker>
+ <clipPath
+ id="clipPath23666-7"
+ clipPathUnits="userSpaceOnUse">
+ <path
+ inkscape:connector-curvature="0"
+ id="path23664-5"
+ d="M -2.736068,-2.736068 H 2.736068 V 2.736068 H -2.736068 Z" />
+ </clipPath>
+ <clipPath
+ id="clipPath23678-3"
+ clipPathUnits="userSpaceOnUse">
+ <path
+ inkscape:connector-curvature="0"
+ id="path23676-8"
+ d="M -2.736068,-2.736068 H 2.736068 V 2.736068 H -2.736068 Z" />
+ </clipPath>
+ <clipPath
+ id="clipPath23690-8"
+ clipPathUnits="userSpaceOnUse">
+ <path
+ inkscape:connector-curvature="0"
+ id="path23688-3"
+ d="M -2.736068,-2.736068 H 2.736068 V 2.736068 H -2.736068 Z" />
+ </clipPath>
+ <clipPath
+ id="clipPath23702-1"
+ clipPathUnits="userSpaceOnUse">
+ <path
+ inkscape:connector-curvature="0"
+ id="path23700-8"
+ d="M -2.736068,-2.736068 H 2.736068 V 2.736068 H -2.736068 Z" />
+ </clipPath>
+ <clipPath
+ id="clipPath23714-9"
+ clipPathUnits="userSpaceOnUse">
+ <path
+ inkscape:connector-curvature="0"
+ id="path23712-6"
+ d="M -2.736068,-2.736068 H 2.736068 V 2.736068 H -2.736068 Z" />
+ </clipPath>
+ <clipPath
+ id="clipPath23726-4"
+ clipPathUnits="userSpaceOnUse">
+ <path
+ inkscape:connector-curvature="0"
+ id="path23724-3"
+ d="M -2.736068,-2.736068 H 2.736068 V 2.736068 H -2.736068 Z" />
+ </clipPath>
+ <clipPath
+ id="clipPath23738-3"
+ clipPathUnits="userSpaceOnUse">
+ <path
+ inkscape:connector-curvature="0"
+ id="path23736-3"
+ d="M -2.736068,-2.736068 H 2.736068 V 2.736068 H -2.736068 Z" />
+ </clipPath>
+ <clipPath
+ id="clipPath23750-8"
+ clipPathUnits="userSpaceOnUse">
+ <path
+ inkscape:connector-curvature="0"
+ id="path23748-6"
+ d="M -2.736068,-2.736068 H 2.736068 V 2.736068 H -2.736068 Z" />
+ </clipPath>
+ <clipPath
+ id="clipPath23762-0"
+ clipPathUnits="userSpaceOnUse">
+ <path
+ inkscape:connector-curvature="0"
+ id="path23760-4"
+ d="M -2.736068,-2.736068 H 2.736068 V 2.736068 H -2.736068 Z" />
+ </clipPath>
+ <clipPath
+ id="clipPath23774-8"
+ clipPathUnits="userSpaceOnUse">
+ <path
+ inkscape:connector-curvature="0"
+ id="path23772-8"
+ d="M -2.736068,-2.736068 H 2.736068 V 2.736068 H -2.736068 Z" />
+ </clipPath>
+ <clipPath
+ id="clipPath23786-8"
+ clipPathUnits="userSpaceOnUse">
+ <path
+ inkscape:connector-curvature="0"
+ id="path23784-9"
+ d="M -2.736068,-2.736068 H 2.736068 V 2.736068 H -2.736068 Z" />
+ </clipPath>
+ <clipPath
+ id="clipPath23798-7"
+ clipPathUnits="userSpaceOnUse">
+ <path
+ inkscape:connector-curvature="0"
+ id="path23796-7"
+ d="M -2.736068,-2.736068 H 2.736068 V 2.736068 H -2.736068 Z" />
+ </clipPath>
+ <clipPath
+ id="clipPath23810-6"
+ clipPathUnits="userSpaceOnUse">
+ <path
+ inkscape:connector-curvature="0"
+ id="path23808-4"
+ d="M -2.736068,-2.736068 H 2.736068 V 2.736068 H -2.736068 Z" />
+ </clipPath>
+ <clipPath
+ id="clipPath23822-3"
+ clipPathUnits="userSpaceOnUse">
+ <path
+ inkscape:connector-curvature="0"
+ id="path23820-0"
+ d="M -2.736068,-2.736068 H 2.736068 V 2.736068 H -2.736068 Z" />
+ </clipPath>
+ <clipPath
+ id="clipPath23834-3"
+ clipPathUnits="userSpaceOnUse">
+ <path
+ inkscape:connector-curvature="0"
+ id="path23832-0"
+ d="M -2.736068,-2.736068 H 2.736068 V 2.736068 H -2.736068 Z" />
+ </clipPath>
+ <clipPath
+ id="clipPath23846-9"
+ clipPathUnits="userSpaceOnUse">
+ <path
+ inkscape:connector-curvature="0"
+ id="path23844-2"
+ d="M -2.736068,-2.736068 H 2.736068 V 2.736068 H -2.736068 Z" />
+ </clipPath>
+ <clipPath
+ id="clipPath23858-5"
+ clipPathUnits="userSpaceOnUse">
+ <path
+ inkscape:connector-curvature="0"
+ id="path23856-4"
+ d="M -2.736068,-2.736068 H 2.736068 V 2.736068 H -2.736068 Z" />
+ </clipPath>
+ <clipPath
+ id="clipPath23870-0"
+ clipPathUnits="userSpaceOnUse">
+ <path
+ inkscape:connector-curvature="0"
+ id="path23868-5"
+ d="M -2.736068,-2.736068 H 2.736068 V 2.736068 H -2.736068 Z" />
+ </clipPath>
+ <clipPath
+ id="clipPath23882-9"
+ clipPathUnits="userSpaceOnUse">
+ <path
+ inkscape:connector-curvature="0"
+ id="path23880-4"
+ d="M -2.736068,-2.736068 H 2.736068 V 2.736068 H -2.736068 Z" />
+ </clipPath>
+ <clipPath
+ id="clipPath23894-6"
+ clipPathUnits="userSpaceOnUse">
+ <path
+ inkscape:connector-curvature="0"
+ id="path23892-9"
+ d="M -2.736068,-2.736068 H 2.736068 V 2.736068 H -2.736068 Z" />
+ </clipPath>
+ <clipPath
+ id="clipPath23906-2"
+ clipPathUnits="userSpaceOnUse">
+ <path
+ inkscape:connector-curvature="0"
+ id="path23904-2"
+ d="M -2.736068,-2.736068 H 2.736068 V 2.736068 H -2.736068 Z" />
+ </clipPath>
+ <clipPath
+ id="clipPath23918-4"
+ clipPathUnits="userSpaceOnUse">
+ <path
+ inkscape:connector-curvature="0"
+ id="path23916-7"
+ d="M -2.736068,-2.736068 H 2.736068 V 2.736068 H -2.736068 Z" />
+ </clipPath>
+ <clipPath
+ id="clipPath23930-7"
+ clipPathUnits="userSpaceOnUse">
+ <path
+ inkscape:connector-curvature="0"
+ id="path23928-5"
+ d="M -2.736068,-2.736068 H 2.736068 V 2.736068 H -2.736068 Z" />
+ </clipPath>
+ <clipPath
+ id="clipPath23942-4"
+ clipPathUnits="userSpaceOnUse">
+ <path
+ inkscape:connector-curvature="0"
+ id="path23940-8"
+ d="M -2.736068,-2.736068 H 2.736068 V 2.736068 H -2.736068 Z" />
+ </clipPath>
+ <clipPath
+ id="clipPath23954-1"
+ clipPathUnits="userSpaceOnUse">
+ <path
+ inkscape:connector-curvature="0"
+ id="path23952-2"
+ d="M -2.736068,-2.736068 H 2.736068 V 2.736068 H -2.736068 Z" />
+ </clipPath>
+ <clipPath
+ id="clipPath23966-8"
+ clipPathUnits="userSpaceOnUse">
+ <path
+ inkscape:connector-curvature="0"
+ id="path23964-9"
+ d="M -2.736068,-2.736068 H 2.736068 V 2.736068 H -2.736068 Z" />
+ </clipPath>
+ <clipPath
+ id="clipPath23978-3"
+ clipPathUnits="userSpaceOnUse">
+ <path
+ inkscape:connector-curvature="0"
+ id="path23976-6"
+ d="M -2.736068,-2.736068 H 2.736068 V 2.736068 H -2.736068 Z" />
+ </clipPath>
+ <clipPath
+ id="clipPath23990-8"
+ clipPathUnits="userSpaceOnUse">
+ <path
+ inkscape:connector-curvature="0"
+ id="path23988-0"
+ d="M -2.736068,-2.736068 H 2.736068 V 2.736068 H -2.736068 Z" />
+ </clipPath>
+ <clipPath
+ id="clipPath24002-2"
+ clipPathUnits="userSpaceOnUse">
+ <path
+ inkscape:connector-curvature="0"
+ id="path24000-1"
+ d="M -2.736068,-2.736068 H 2.736068 V 2.736068 H -2.736068 Z" />
+ </clipPath>
+ <clipPath
+ id="clipPath24014-0"
+ clipPathUnits="userSpaceOnUse">
+ <path
+ inkscape:connector-curvature="0"
+ id="path24012-5"
+ d="M -2.736068,-2.736068 H 2.736068 V 2.736068 H -2.736068 Z" />
+ </clipPath>
+ <clipPath
+ id="clipPath24026-1"
+ clipPathUnits="userSpaceOnUse">
+ <path
+ inkscape:connector-curvature="0"
+ id="path24024-1"
+ d="M -2.736068,-2.736068 H 2.736068 V 2.736068 H -2.736068 Z" />
+ </clipPath>
+ <clipPath
+ id="clipPath24038-0"
+ clipPathUnits="userSpaceOnUse">
+ <path
+ inkscape:connector-curvature="0"
+ id="path24036-8"
+ d="M -2.736068,-2.736068 H 2.736068 V 2.736068 H -2.736068 Z" />
+ </clipPath>
+ <clipPath
+ id="clipPath24050-5"
+ clipPathUnits="userSpaceOnUse">
+ <path
+ inkscape:connector-curvature="0"
+ id="path24048-0"
+ d="M -2.736068,-2.736068 H 2.736068 V 2.736068 H -2.736068 Z" />
+ </clipPath>
+ <clipPath
+ id="clipPath24062-6"
+ clipPathUnits="userSpaceOnUse">
+ <path
+ inkscape:connector-curvature="0"
+ id="path24060-4"
+ d="M -2.736068,-2.736068 H 2.736068 V 2.736068 H -2.736068 Z" />
+ </clipPath>
+ <clipPath
+ id="clipPath24074-6"
+ clipPathUnits="userSpaceOnUse">
+ <path
+ inkscape:connector-curvature="0"
+ id="path24072-2"
+ d="M -2.736068,-2.736068 H 2.736068 V 2.736068 H -2.736068 Z" />
+ </clipPath>
+ <clipPath
+ id="clipPath24086-5"
+ clipPathUnits="userSpaceOnUse">
+ <path
+ inkscape:connector-curvature="0"
+ id="path24084-8"
+ d="M -2.736068,-2.736068 H 2.736068 V 2.736068 H -2.736068 Z" />
+ </clipPath>
+ <clipPath
+ id="clipPath24098-6"
+ clipPathUnits="userSpaceOnUse">
+ <path
+ inkscape:connector-curvature="0"
+ id="path24096-2"
+ d="M -2.736068,-2.736068 H 2.736068 V 2.736068 H -2.736068 Z" />
+ </clipPath>
+ <clipPath
+ id="clipPath24110-8"
+ clipPathUnits="userSpaceOnUse">
+ <path
+ inkscape:connector-curvature="0"
+ id="path24108-4"
+ d="M -2.736068,-2.736068 H 2.736068 V 2.736068 H -2.736068 Z" />
+ </clipPath>
+ <clipPath
+ id="clipPath24122-7"
+ clipPathUnits="userSpaceOnUse">
+ <path
+ inkscape:connector-curvature="0"
+ id="path24120-2"
+ d="M -2.736068,-2.736068 H 2.736068 V 2.736068 H -2.736068 Z" />
+ </clipPath>
+ <clipPath
+ id="clipPath24134-4"
+ clipPathUnits="userSpaceOnUse">
+ <path
+ inkscape:connector-curvature="0"
+ id="path24132-0"
+ d="M -2.736068,-2.736068 H 2.736068 V 2.736068 H -2.736068 Z" />
+ </clipPath>
+ <clipPath
+ id="clipPath24146-6"
+ clipPathUnits="userSpaceOnUse">
+ <path
+ inkscape:connector-curvature="0"
+ id="path24144-2"
+ d="M -2.736068,-2.736068 H 2.736068 V 2.736068 H -2.736068 Z" />
+ </clipPath>
+ <clipPath
+ id="clipPath24158-9"
+ clipPathUnits="userSpaceOnUse">
+ <path
+ inkscape:connector-curvature="0"
+ id="path24156-9"
+ d="M -2.736068,-2.736068 H 2.736068 V 2.736068 H -2.736068 Z" />
+ </clipPath>
+ <clipPath
+ id="clipPath24170-0"
+ clipPathUnits="userSpaceOnUse">
+ <path
+ inkscape:connector-curvature="0"
+ id="path24168-8"
+ d="M -2.736068,-2.736068 H 2.736068 V 2.736068 H -2.736068 Z" />
+ </clipPath>
+ <clipPath
+ id="clipPath24182-1"
+ clipPathUnits="userSpaceOnUse">
+ <path
+ inkscape:connector-curvature="0"
+ id="path24180-3"
+ d="M -2.736068,-2.736068 H 2.736068 V 2.736068 H -2.736068 Z" />
+ </clipPath>
+ <clipPath
+ id="clipPath24194-1"
+ clipPathUnits="userSpaceOnUse">
+ <path
+ inkscape:connector-curvature="0"
+ id="path24192-1"
+ d="M -2.736068,-2.736068 H 2.736068 V 2.736068 H -2.736068 Z" />
+ </clipPath>
+ <clipPath
+ id="clipPath24206-0"
+ clipPathUnits="userSpaceOnUse">
+ <path
+ inkscape:connector-curvature="0"
+ id="path24204-3"
+ d="M -2.736068,-2.736068 H 2.736068 V 2.736068 H -2.736068 Z" />
+ </clipPath>
+ <clipPath
+ id="clipPath24218-4"
+ clipPathUnits="userSpaceOnUse">
+ <path
+ inkscape:connector-curvature="0"
+ id="path24216-0"
+ d="M -2.736068,-2.736068 H 2.736068 V 2.736068 H -2.736068 Z" />
+ </clipPath>
+ <clipPath
+ id="clipPath24230-3"
+ clipPathUnits="userSpaceOnUse">
+ <path
+ inkscape:connector-curvature="0"
+ id="path24228-9"
+ d="M -2.736068,-2.736068 H 2.736068 V 2.736068 H -2.736068 Z" />
+ </clipPath>
+ <clipPath
+ id="clipPath24242-1"
+ clipPathUnits="userSpaceOnUse">
+ <path
+ inkscape:connector-curvature="0"
+ id="path24240-9"
+ d="M -2.736068,-2.736068 H 2.736068 V 2.736068 H -2.736068 Z" />
+ </clipPath>
+ <clipPath
+ id="clipPath24254-6"
+ clipPathUnits="userSpaceOnUse">
+ <path
+ inkscape:connector-curvature="0"
+ id="path24252-9"
+ d="M -2.736068,-2.736068 H 2.736068 V 2.736068 H -2.736068 Z" />
+ </clipPath>
+ <clipPath
+ id="clipPath24266-3"
+ clipPathUnits="userSpaceOnUse">
+ <path
+ inkscape:connector-curvature="0"
+ id="path24264-3"
+ d="M -2.736068,-2.736068 H 2.736068 V 2.736068 H -2.736068 Z" />
+ </clipPath>
+ <clipPath
+ id="clipPath24278-8"
+ clipPathUnits="userSpaceOnUse">
+ <path
+ inkscape:connector-curvature="0"
+ id="path24276-0"
+ d="M -2.736068,-2.736068 H 2.736068 V 2.736068 H -2.736068 Z" />
+ </clipPath>
+ <clipPath
+ id="clipPath24290-5"
+ clipPathUnits="userSpaceOnUse">
+ <path
+ inkscape:connector-curvature="0"
+ id="path24288-6"
+ d="M -2.736068,-2.736068 H 2.736068 V 2.736068 H -2.736068 Z" />
+ </clipPath>
+ <clipPath
+ id="clipPath24302-6"
+ clipPathUnits="userSpaceOnUse">
+ <path
+ inkscape:connector-curvature="0"
+ id="path24300-4"
+ d="M -2.736068,-2.736068 H 2.736068 V 2.736068 H -2.736068 Z" />
+ </clipPath>
+ <clipPath
+ id="clipPath24314-0"
+ clipPathUnits="userSpaceOnUse">
+ <path
+ inkscape:connector-curvature="0"
+ id="path24312-0"
+ d="M -2.736068,-2.736068 H 2.736068 V 2.736068 H -2.736068 Z" />
+ </clipPath>
+ <clipPath
+ id="clipPath24326-4"
+ clipPathUnits="userSpaceOnUse">
+ <path
+ inkscape:connector-curvature="0"
+ id="path24324-6"
+ d="M -2.736068,-2.736068 H 2.736068 V 2.736068 H -2.736068 Z" />
+ </clipPath>
+ <clipPath
+ id="clipPath24338-2"
+ clipPathUnits="userSpaceOnUse">
+ <path
+ inkscape:connector-curvature="0"
+ id="path24336-6"
+ d="M -2.736068,-2.736068 H 2.736068 V 2.736068 H -2.736068 Z" />
+ </clipPath>
+ <clipPath
+ id="clipPath24350-7"
+ clipPathUnits="userSpaceOnUse">
+ <path
+ inkscape:connector-curvature="0"
+ id="path24348-5"
+ d="M -2.736068,-2.736068 H 2.736068 V 2.736068 H -2.736068 Z" />
+ </clipPath>
+ <clipPath
+ id="clipPath24362-6"
+ clipPathUnits="userSpaceOnUse">
+ <path
+ inkscape:connector-curvature="0"
+ id="path24360-9"
+ d="M -2.736068,-2.736068 H 2.736068 V 2.736068 H -2.736068 Z" />
+ </clipPath>
+ <clipPath
+ id="clipPath24374-8"
+ clipPathUnits="userSpaceOnUse">
+ <path
+ inkscape:connector-curvature="0"
+ id="path24372-7"
+ d="M -2.736068,-2.736068 H 2.736068 V 2.736068 H -2.736068 Z" />
+ </clipPath>
+ <clipPath
+ id="clipPath24386-2"
+ clipPathUnits="userSpaceOnUse">
+ <path
+ inkscape:connector-curvature="0"
+ id="path24384-8"
+ d="M -2.736068,-2.736068 H 2.736068 V 2.736068 H -2.736068 Z" />
+ </clipPath>
+ <clipPath
+ id="clipPath24398-2"
+ clipPathUnits="userSpaceOnUse">
+ <path
+ inkscape:connector-curvature="0"
+ id="path24396-9"
+ d="M -2.736068,-2.736068 H 2.736068 V 2.736068 H -2.736068 Z" />
+ </clipPath>
+ <clipPath
+ id="clipPath24410-9"
+ clipPathUnits="userSpaceOnUse">
+ <path
+ inkscape:connector-curvature="0"
+ id="path24408-6"
+ d="M -2.736068,-2.736068 H 2.736068 V 2.736068 H -2.736068 Z" />
+ </clipPath>
+ <clipPath
+ id="clipPath24422-0"
+ clipPathUnits="userSpaceOnUse">
+ <path
+ inkscape:connector-curvature="0"
+ id="path24420-2"
+ d="M -2.736068,-2.736068 H 2.736068 V 2.736068 H -2.736068 Z" />
+ </clipPath>
+ <clipPath
+ id="clipPath24434-7"
+ clipPathUnits="userSpaceOnUse">
+ <path
+ inkscape:connector-curvature="0"
+ id="path24432-6"
+ d="M -2.736068,-2.736068 H 2.736068 V 2.736068 H -2.736068 Z" />
+ </clipPath>
+ <clipPath
+ id="clipPath24446-1"
+ clipPathUnits="userSpaceOnUse">
+ <path
+ inkscape:connector-curvature="0"
+ id="path24444-3"
+ d="M -2.736068,-2.736068 H 2.736068 V 2.736068 H -2.736068 Z" />
+ </clipPath>
+ <clipPath
+ id="clipPath24458-2"
+ clipPathUnits="userSpaceOnUse">
+ <path
+ inkscape:connector-curvature="0"
+ id="path24456-1"
+ d="M -2.736068,-2.736068 H 2.736068 V 2.736068 H -2.736068 Z" />
+ </clipPath>
+ <clipPath
+ id="clipPath24470-5"
+ clipPathUnits="userSpaceOnUse">
+ <path
+ inkscape:connector-curvature="0"
+ id="path24468-9"
+ d="M -2.736068,-2.736068 H 2.736068 V 2.736068 H -2.736068 Z" />
+ </clipPath>
+ <clipPath
+ id="clipPath24482-9"
+ clipPathUnits="userSpaceOnUse">
+ <path
+ inkscape:connector-curvature="0"
+ id="path24480-1"
+ d="M -2.736068,-2.736068 H 2.736068 V 2.736068 H -2.736068 Z" />
+ </clipPath>
+ <clipPath
+ id="clipPath24494-4"
+ clipPathUnits="userSpaceOnUse">
+ <path
+ inkscape:connector-curvature="0"
+ id="path24492-9"
+ d="M -2.736068,-2.736068 H 2.736068 V 2.736068 H -2.736068 Z" />
+ </clipPath>
+ <clipPath
+ id="clipPath24506-1"
+ clipPathUnits="userSpaceOnUse">
+ <path
+ inkscape:connector-curvature="0"
+ id="path24504-0"
+ d="M -2.736068,-2.736068 H 2.736068 V 2.736068 H -2.736068 Z" />
+ </clipPath>
+ <clipPath
+ id="clipPath24518-7"
+ clipPathUnits="userSpaceOnUse">
+ <path
+ inkscape:connector-curvature="0"
+ id="path24516-5"
+ d="M -2.736068,-2.736068 H 2.736068 V 2.736068 H -2.736068 Z" />
+ </clipPath>
+ <clipPath
+ id="clipPath24530-8"
+ clipPathUnits="userSpaceOnUse">
+ <path
+ inkscape:connector-curvature="0"
+ id="path24528-7"
+ d="M -2.736068,-2.736068 H 2.736068 V 2.736068 H -2.736068 Z" />
+ </clipPath>
+ <clipPath
+ id="clipPath24542-0"
+ clipPathUnits="userSpaceOnUse">
+ <path
+ inkscape:connector-curvature="0"
+ id="path24540-4"
+ d="M -2.736068,-2.736068 H 2.736068 V 2.736068 H -2.736068 Z" />
+ </clipPath>
+ <clipPath
+ id="clipPath24554-8"
+ clipPathUnits="userSpaceOnUse">
+ <path
+ inkscape:connector-curvature="0"
+ id="path24552-0"
+ d="M -2.736068,-2.736068 H 2.736068 V 2.736068 H -2.736068 Z" />
+ </clipPath>
+ <clipPath
+ id="clipPath24566-4"
+ clipPathUnits="userSpaceOnUse">
+ <path
+ inkscape:connector-curvature="0"
+ id="path24564-2"
+ d="M -2.736068,-2.736068 H 2.736068 V 2.736068 H -2.736068 Z" />
+ </clipPath>
+ <clipPath
+ id="clipPath24578-9"
+ clipPathUnits="userSpaceOnUse">
+ <path
+ inkscape:connector-curvature="0"
+ id="path24576-6"
+ d="M -2.736068,-2.736068 H 2.736068 V 2.736068 H -2.736068 Z" />
+ </clipPath>
+ <clipPath
+ id="clipPath24590-1"
+ clipPathUnits="userSpaceOnUse">
+ <path
+ inkscape:connector-curvature="0"
+ id="path24588-0"
+ d="M -2.736068,-2.736068 H 2.736068 V 2.736068 H -2.736068 Z" />
+ </clipPath>
+ <clipPath
+ id="clipPath24602-4"
+ clipPathUnits="userSpaceOnUse">
+ <path
+ inkscape:connector-curvature="0"
+ id="path24600-2"
+ d="M -2.736068,-2.736068 H 2.736068 V 2.736068 H -2.736068 Z" />
+ </clipPath>
+ <clipPath
+ id="clipPath24614-2"
+ clipPathUnits="userSpaceOnUse">
+ <path
+ inkscape:connector-curvature="0"
+ id="path24612-2"
+ d="M -2.736068,-2.736068 H 2.736068 V 2.736068 H -2.736068 Z" />
+ </clipPath>
+ <clipPath
+ id="clipPath24626-0"
+ clipPathUnits="userSpaceOnUse">
+ <path
+ inkscape:connector-curvature="0"
+ id="path24624-5"
+ d="M -2.736068,-2.736068 H 2.736068 V 2.736068 H -2.736068 Z" />
+ </clipPath>
+ <clipPath
+ id="clipPath24638-5"
+ clipPathUnits="userSpaceOnUse">
+ <path
+ inkscape:connector-curvature="0"
+ id="path24636-2"
+ d="M -2.736068,-2.736068 H 2.736068 V 2.736068 H -2.736068 Z" />
+ </clipPath>
+ <clipPath
+ id="clipPath24650-9"
+ clipPathUnits="userSpaceOnUse">
+ <path
+ inkscape:connector-curvature="0"
+ id="path24648-0"
+ d="M -2.736068,-2.736068 H 2.736068 V 2.736068 H -2.736068 Z" />
+ </clipPath>
+ <clipPath
+ id="clipPath24662-2"
+ clipPathUnits="userSpaceOnUse">
+ <path
+ inkscape:connector-curvature="0"
+ id="path24660-8"
+ d="M -2.736068,-2.736068 H 2.736068 V 2.736068 H -2.736068 Z" />
+ </clipPath>
+ <clipPath
+ id="clipPath24674-3"
+ clipPathUnits="userSpaceOnUse">
+ <path
+ inkscape:connector-curvature="0"
+ id="path24672-8"
+ d="M -2.736068,-2.736068 H 2.736068 V 2.736068 H -2.736068 Z" />
+ </clipPath>
+ <clipPath
+ id="clipPath24686-0"
+ clipPathUnits="userSpaceOnUse">
+ <path
+ inkscape:connector-curvature="0"
+ id="path24684-4"
+ d="M -2.736068,-2.736068 H 2.736068 V 2.736068 H -2.736068 Z" />
+ </clipPath>
+ <clipPath
+ id="clipPath24698-0"
+ clipPathUnits="userSpaceOnUse">
+ <path
+ inkscape:connector-curvature="0"
+ id="path24696-9"
+ d="M -2.736068,-2.736068 H 2.736068 V 2.736068 H -2.736068 Z" />
+ </clipPath>
+ <clipPath
+ id="clipPath24710-1"
+ clipPathUnits="userSpaceOnUse">
+ <path
+ inkscape:connector-curvature="0"
+ id="path24708-9"
+ d="M -2.736068,-2.736068 H 2.736068 V 2.736068 H -2.736068 Z" />
+ </clipPath>
+ <clipPath
+ id="clipPath24722-6"
+ clipPathUnits="userSpaceOnUse">
+ <path
+ inkscape:connector-curvature="0"
+ id="path24720-2"
+ d="M -2.736068,-2.736068 H 2.736068 V 2.736068 H -2.736068 Z" />
+ </clipPath>
+ <clipPath
+ id="clipPath24734-5"
+ clipPathUnits="userSpaceOnUse">
+ <path
+ inkscape:connector-curvature="0"
+ id="path24732-4"
+ d="M -2.736068,-2.736068 H 2.736068 V 2.736068 H -2.736068 Z" />
+ </clipPath>
+ <clipPath
+ id="clipPath24746-4"
+ clipPathUnits="userSpaceOnUse">
+ <path
+ inkscape:connector-curvature="0"
+ id="path24744-9"
+ d="M -2.736068,-2.736068 H 2.736068 V 2.736068 H -2.736068 Z" />
+ </clipPath>
+ <clipPath
+ id="clipPath24758-9"
+ clipPathUnits="userSpaceOnUse">
+ <path
+ inkscape:connector-curvature="0"
+ id="path24756-3"
+ d="M -2.736068,-2.736068 H 2.736068 V 2.736068 H -2.736068 Z" />
+ </clipPath>
+ <clipPath
+ id="clipPath24770-6"
+ clipPathUnits="userSpaceOnUse">
+ <path
+ inkscape:connector-curvature="0"
+ id="path24768-0"
+ d="M -2.736068,-2.736068 H 2.736068 V 2.736068 H -2.736068 Z" />
+ </clipPath>
+ <clipPath
+ id="clipPath24782-5"
+ clipPathUnits="userSpaceOnUse">
+ <path
+ inkscape:connector-curvature="0"
+ id="path24780-0"
+ d="M -2.736068,-2.736068 H 2.736068 V 2.736068 H -2.736068 Z" />
+ </clipPath>
+ <clipPath
+ id="clipPath24794-2"
+ clipPathUnits="userSpaceOnUse">
+ <path
+ inkscape:connector-curvature="0"
+ id="path24792-9"
+ d="M -2.736068,-2.736068 H 2.736068 V 2.736068 H -2.736068 Z" />
+ </clipPath>
+ <clipPath
+ id="clipPath24806-4"
+ clipPathUnits="userSpaceOnUse">
+ <path
+ inkscape:connector-curvature="0"
+ id="path24804-3"
+ d="M -2.736068,-2.736068 H 2.736068 V 2.736068 H -2.736068 Z" />
+ </clipPath>
+ <clipPath
+ id="clipPath24818-5"
+ clipPathUnits="userSpaceOnUse">
+ <path
+ inkscape:connector-curvature="0"
+ id="path24816-1"
+ d="M -2.736068,-2.736068 H 2.736068 V 2.736068 H -2.736068 Z" />
+ </clipPath>
+ <clipPath
+ id="clipPath24830-7"
+ clipPathUnits="userSpaceOnUse">
+ <path
+ inkscape:connector-curvature="0"
+ id="path24828-4"
+ d="M -2.736068,-2.736068 H 2.736068 V 2.736068 H -2.736068 Z" />
+ </clipPath>
+ <clipPath
+ id="clipPath24842-3"
+ clipPathUnits="userSpaceOnUse">
+ <path
+ inkscape:connector-curvature="0"
+ id="path24840-1"
+ d="M -2.736068,-2.736068 H 2.736068 V 2.736068 H -2.736068 Z" />
+ </clipPath>
+ <clipPath
+ id="clipPath24854-4"
+ clipPathUnits="userSpaceOnUse">
+ <path
+ inkscape:connector-curvature="0"
+ id="path24852-6"
+ d="M -2.736068,-2.736068 H 2.736068 V 2.736068 H -2.736068 Z" />
+ </clipPath>
+ <clipPath
+ id="clipPath24866-9"
+ clipPathUnits="userSpaceOnUse">
+ <path
+ inkscape:connector-curvature="0"
+ id="path24864-4"
+ d="M -2.736068,-2.736068 H 2.736068 V 2.736068 H -2.736068 Z" />
+ </clipPath>
+ <clipPath
+ id="clipPath24878-2"
+ clipPathUnits="userSpaceOnUse">
+ <path
+ inkscape:connector-curvature="0"
+ id="path24876-2"
+ d="M -2.736068,-2.736068 H 2.736068 V 2.736068 H -2.736068 Z" />
+ </clipPath>
+ <clipPath
+ id="clipPath24890-6"
+ clipPathUnits="userSpaceOnUse">
+ <path
+ inkscape:connector-curvature="0"
+ id="path24888-4"
+ d="M -2.736068,-2.736068 H 2.736068 V 2.736068 H -2.736068 Z" />
+ </clipPath>
+ <clipPath
+ id="clipPath24902-1"
+ clipPathUnits="userSpaceOnUse">
+ <path
+ inkscape:connector-curvature="0"
+ id="path24900-2"
+ d="M -2.736068,-2.736068 H 2.736068 V 2.736068 H -2.736068 Z" />
+ </clipPath>
+ <clipPath
+ id="clipPath24914-8"
+ clipPathUnits="userSpaceOnUse">
+ <path
+ inkscape:connector-curvature="0"
+ id="path24912-8"
+ d="M -2.736068,-2.736068 H 2.736068 V 2.736068 H -2.736068 Z" />
+ </clipPath>
+ <clipPath
+ id="clipPath24926-9"
+ clipPathUnits="userSpaceOnUse">
+ <path
+ inkscape:connector-curvature="0"
+ id="path24924-2"
+ d="M -2.736068,-2.736068 H 2.736068 V 2.736068 H -2.736068 Z" />
+ </clipPath>
+ <clipPath
+ id="clipPath24938-8"
+ clipPathUnits="userSpaceOnUse">
+ <path
+ inkscape:connector-curvature="0"
+ id="path24936-8"
+ d="M -2.736068,-2.736068 H 2.736068 V 2.736068 H -2.736068 Z" />
+ </clipPath>
+ <clipPath
+ id="clipPath24950-8"
+ clipPathUnits="userSpaceOnUse">
+ <path
+ inkscape:connector-curvature="0"
+ id="path24948-6"
+ d="M -2.736068,-2.736068 H 2.736068 V 2.736068 H -2.736068 Z" />
+ </clipPath>
+ <clipPath
+ id="clipPath24962-8"
+ clipPathUnits="userSpaceOnUse">
+ <path
+ inkscape:connector-curvature="0"
+ id="path24960-3"
+ d="M -2.736068,-2.736068 H 2.736068 V 2.736068 H -2.736068 Z" />
+ </clipPath>
+ <clipPath
+ id="clipPath24974-8"
+ clipPathUnits="userSpaceOnUse">
+ <path
+ inkscape:connector-curvature="0"
+ id="path24972-3"
+ d="M -2.736068,-2.736068 H 2.736068 V 2.736068 H -2.736068 Z" />
+ </clipPath>
+ <clipPath
+ id="clipPath24986-3"
+ clipPathUnits="userSpaceOnUse">
+ <path
+ inkscape:connector-curvature="0"
+ id="path24984-3"
+ d="M -2.736068,-2.736068 H 2.736068 V 2.736068 H -2.736068 Z" />
+ </clipPath>
+ <clipPath
+ id="clipPath24998-8"
+ clipPathUnits="userSpaceOnUse">
+ <path
+ inkscape:connector-curvature="0"
+ id="path24996-0"
+ d="M -2.736068,-2.736068 H 2.736068 V 2.736068 H -2.736068 Z" />
+ </clipPath>
+ <clipPath
+ id="clipPath25010-4"
+ clipPathUnits="userSpaceOnUse">
+ <path
+ inkscape:connector-curvature="0"
+ id="path25008-7"
+ d="M -2.736068,-2.736068 H 2.736068 V 2.736068 H -2.736068 Z" />
+ </clipPath>
+ <clipPath
+ id="clipPath25022-6"
+ clipPathUnits="userSpaceOnUse">
+ <path
+ inkscape:connector-curvature="0"
+ id="path25020-8"
+ d="M -2.736068,-2.736068 H 2.736068 V 2.736068 H -2.736068 Z" />
+ </clipPath>
+ <clipPath
+ id="clipPath25034-9"
+ clipPathUnits="userSpaceOnUse">
+ <path
+ inkscape:connector-curvature="0"
+ id="path25032-0"
+ d="M -2.736068,-2.736068 H 2.736068 V 2.736068 H -2.736068 Z" />
+ </clipPath>
+ <clipPath
+ id="clipPath25046-6"
+ clipPathUnits="userSpaceOnUse">
+ <path
+ inkscape:connector-curvature="0"
+ id="path25044-8"
+ d="M -2.736068,-2.736068 H 2.736068 V 2.736068 H -2.736068 Z" />
+ </clipPath>
+ <clipPath
+ id="clipPath25058-7"
+ clipPathUnits="userSpaceOnUse">
+ <path
+ inkscape:connector-curvature="0"
+ id="path25056-9"
+ d="M -2.736068,-2.736068 H 2.736068 V 2.736068 H -2.736068 Z" />
+ </clipPath>
+ <clipPath
+ id="clipPath25070-0"
+ clipPathUnits="userSpaceOnUse">
+ <path
+ inkscape:connector-curvature="0"
+ id="path25068-3"
+ d="M -2.736068,-2.736068 H 2.736068 V 2.736068 H -2.736068 Z" />
+ </clipPath>
+ <clipPath
+ id="clipPath25082-3"
+ clipPathUnits="userSpaceOnUse">
+ <path
+ inkscape:connector-curvature="0"
+ id="path25080-3"
+ d="M -2.736068,-2.736068 H 2.736068 V 2.736068 H -2.736068 Z" />
+ </clipPath>
+ <clipPath
+ id="clipPath25094-7"
+ clipPathUnits="userSpaceOnUse">
+ <path
+ inkscape:connector-curvature="0"
+ id="path25092-3"
+ d="M -2.736068,-2.736068 H 2.736068 V 2.736068 H -2.736068 Z" />
+ </clipPath>
+ <clipPath
+ id="clipPath25106-2"
+ clipPathUnits="userSpaceOnUse">
+ <path
+ inkscape:connector-curvature="0"
+ id="path25104-6"
+ d="M -2.736068,-2.736068 H 2.736068 V 2.736068 H -2.736068 Z" />
+ </clipPath>
+ <clipPath
+ id="clipPath25118-5"
+ clipPathUnits="userSpaceOnUse">
+ <path
+ inkscape:connector-curvature="0"
+ id="path25116-2"
+ d="M -2.736068,-2.736068 H 2.736068 V 2.736068 H -2.736068 Z" />
+ </clipPath>
+ <clipPath
+ id="clipPath25130-6"
+ clipPathUnits="userSpaceOnUse">
+ <path
+ inkscape:connector-curvature="0"
+ id="path25128-5"
+ d="M -2.736068,-2.736068 H 2.736068 V 2.736068 H -2.736068 Z" />
+ </clipPath>
+ <clipPath
+ id="clipPath25142-8"
+ clipPathUnits="userSpaceOnUse">
+ <path
+ inkscape:connector-curvature="0"
+ id="path25140-7"
+ d="M -2.736068,-2.736068 H 2.736068 V 2.736068 H -2.736068 Z" />
+ </clipPath>
+ <clipPath
+ id="clipPath25154-9"
+ clipPathUnits="userSpaceOnUse">
+ <path
+ inkscape:connector-curvature="0"
+ id="path25152-6"
+ d="M -2.736068,-2.736068 H 2.736068 V 2.736068 H -2.736068 Z" />
+ </clipPath>
+ <clipPath
+ id="clipPath25166-0"
+ clipPathUnits="userSpaceOnUse">
+ <path
+ inkscape:connector-curvature="0"
+ id="path25164-4"
+ d="M -2.736068,-2.736068 H 2.736068 V 2.736068 H -2.736068 Z" />
+ </clipPath>
+ <clipPath
+ id="clipPath25178-1"
+ clipPathUnits="userSpaceOnUse">
+ <path
+ inkscape:connector-curvature="0"
+ id="path25176-0"
+ d="M -2.736068,-2.736068 H 2.736068 V 2.736068 H -2.736068 Z" />
+ </clipPath>
+ <clipPath
+ id="clipPath25190-4"
+ clipPathUnits="userSpaceOnUse">
+ <path
+ inkscape:connector-curvature="0"
+ id="path25188-8"
+ d="M -2.736068,-2.736068 H 2.736068 V 2.736068 H -2.736068 Z" />
+ </clipPath>
+ <clipPath
+ id="clipPath25202-7"
+ clipPathUnits="userSpaceOnUse">
+ <path
+ inkscape:connector-curvature="0"
+ id="path25200-0"
+ d="M -2.736068,-2.736068 H 2.736068 V 2.736068 H -2.736068 Z" />
+ </clipPath>
+ <clipPath
+ id="clipPath25214-8"
+ clipPathUnits="userSpaceOnUse">
+ <path
+ inkscape:connector-curvature="0"
+ id="path25212-6"
+ d="M -2.736068,-2.736068 H 2.736068 V 2.736068 H -2.736068 Z" />
+ </clipPath>
+ <clipPath
+ id="clipPath25226-2"
+ clipPathUnits="userSpaceOnUse">
+ <path
+ inkscape:connector-curvature="0"
+ id="path25224-4"
+ d="M -2.736068,-2.736068 H 2.736068 V 2.736068 H -2.736068 Z" />
+ </clipPath>
+ <clipPath
+ id="clipPath25238-7"
+ clipPathUnits="userSpaceOnUse">
+ <path
+ inkscape:connector-curvature="0"
+ id="path25236-9"
+ d="M -2.736068,-2.736068 H 2.736068 V 2.736068 H -2.736068 Z" />
+ </clipPath>
+ <clipPath
+ id="clipPath25250-3"
+ clipPathUnits="userSpaceOnUse">
+ <path
+ inkscape:connector-curvature="0"
+ id="path25248-9"
+ d="M -2.736068,-2.736068 H 2.736068 V 2.736068 H -2.736068 Z" />
+ </clipPath>
+ <clipPath
+ id="clipPath25262-2"
+ clipPathUnits="userSpaceOnUse">
+ <path
+ inkscape:connector-curvature="0"
+ id="path25260-8"
+ d="M -2.736068,-2.736068 H 2.736068 V 2.736068 H -2.736068 Z" />
+ </clipPath>
+ <clipPath
+ id="clipPath25274-3"
+ clipPathUnits="userSpaceOnUse">
+ <path
+ inkscape:connector-curvature="0"
+ id="path25272-0"
+ d="M -2.736068,-2.736068 H 2.736068 V 2.736068 H -2.736068 Z" />
+ </clipPath>
+ <clipPath
+ id="clipPath25286-1"
+ clipPathUnits="userSpaceOnUse">
+ <path
+ inkscape:connector-curvature="0"
+ id="path25284-7"
+ d="M -2.736068,-2.736068 H 2.736068 V 2.736068 H -2.736068 Z" />
+ </clipPath>
+ <clipPath
+ id="clipPath25298-8"
+ clipPathUnits="userSpaceOnUse">
+ <path
+ inkscape:connector-curvature="0"
+ id="path25296-9"
+ d="M -2.736068,-2.736068 H 2.736068 V 2.736068 H -2.736068 Z" />
+ </clipPath>
+ <clipPath
+ id="clipPath25310-1"
+ clipPathUnits="userSpaceOnUse">
+ <path
+ inkscape:connector-curvature="0"
+ id="path25308-5"
+ d="M -2.736068,-2.736068 H 2.736068 V 2.736068 H -2.736068 Z" />
+ </clipPath>
+ <clipPath
+ id="clipPath25322-4"
+ clipPathUnits="userSpaceOnUse">
+ <path
+ inkscape:connector-curvature="0"
+ id="path25320-9"
+ d="M -2.736068,-2.736068 H 2.736068 V 2.736068 H -2.736068 Z" />
+ </clipPath>
+ <clipPath
+ id="clipPath25334-2"
+ clipPathUnits="userSpaceOnUse">
+ <path
+ inkscape:connector-curvature="0"
+ id="path25332-5"
+ d="M -2.736068,-2.736068 H 2.736068 V 2.736068 H -2.736068 Z" />
+ </clipPath>
+ <clipPath
+ id="clipPath25346-7"
+ clipPathUnits="userSpaceOnUse">
+ <path
+ inkscape:connector-curvature="0"
+ id="path25344-4"
+ d="M -2.736068,-2.736068 H 2.736068 V 2.736068 H -2.736068 Z" />
+ </clipPath>
+ <clipPath
+ id="clipPath25358-9"
+ clipPathUnits="userSpaceOnUse">
+ <path
+ inkscape:connector-curvature="0"
+ id="path25356-9"
+ d="M -2.736068,-2.736068 H 2.736068 V 2.736068 H -2.736068 Z" />
+ </clipPath>
+ <clipPath
+ id="clipPath25370-4"
+ clipPathUnits="userSpaceOnUse">
+ <path
+ inkscape:connector-curvature="0"
+ id="path25368-5"
+ d="M -2.736068,-2.736068 H 2.736068 V 2.736068 H -2.736068 Z" />
+ </clipPath>
+ <clipPath
+ id="clipPath25382-9"
+ clipPathUnits="userSpaceOnUse">
+ <path
+ inkscape:connector-curvature="0"
+ id="path25380-3"
+ d="M -2.736068,-2.736068 H 2.736068 V 2.736068 H -2.736068 Z" />
+ </clipPath>
+ <clipPath
+ id="clipPath25394-5"
+ clipPathUnits="userSpaceOnUse">
+ <path
+ inkscape:connector-curvature="0"
+ id="path25392-7"
+ d="M -2.736068,-2.736068 H 2.736068 V 2.736068 H -2.736068 Z" />
+ </clipPath>
+ <clipPath
+ id="clipPath25406-0"
+ clipPathUnits="userSpaceOnUse">
+ <path
+ inkscape:connector-curvature="0"
+ id="path25404-8"
+ d="M -2.736068,-2.736068 H 2.736068 V 2.736068 H -2.736068 Z" />
+ </clipPath>
+ <clipPath
+ id="clipPath25418-1"
+ clipPathUnits="userSpaceOnUse">
+ <path
+ inkscape:connector-curvature="0"
+ id="path25416-9"
+ d="M -2.736068,-2.736068 H 2.736068 V 2.736068 H -2.736068 Z" />
+ </clipPath>
+ <clipPath
+ id="clipPath25430-9"
+ clipPathUnits="userSpaceOnUse">
+ <path
+ inkscape:connector-curvature="0"
+ id="path25428-7"
+ d="M -2.736068,-2.736068 H 2.736068 V 2.736068 H -2.736068 Z" />
+ </clipPath>
+ <clipPath
+ id="clipPath25442-8"
+ clipPathUnits="userSpaceOnUse">
+ <path
+ inkscape:connector-curvature="0"
+ id="path25440-2"
+ d="M -2.736068,-2.736068 H 2.736068 V 2.736068 H -2.736068 Z" />
+ </clipPath>
+ <clipPath
+ id="clipPath25454-5"
+ clipPathUnits="userSpaceOnUse">
+ <path
+ inkscape:connector-curvature="0"
+ id="path25452-3"
+ d="M -2.736068,-2.736068 H 2.736068 V 2.736068 H -2.736068 Z" />
+ </clipPath>
+ <clipPath
+ id="clipPath25466-4"
+ clipPathUnits="userSpaceOnUse">
+ <path
+ inkscape:connector-curvature="0"
+ id="path25464-9"
+ d="M -2.736068,-2.736068 H 2.736068 V 2.736068 H -2.736068 Z" />
+ </clipPath>
+ <clipPath
+ id="clipPath25478-0"
+ clipPathUnits="userSpaceOnUse">
+ <path
+ inkscape:connector-curvature="0"
+ id="path25476-2"
+ d="M -2.736068,-2.736068 H 2.736068 V 2.736068 H -2.736068 Z" />
+ </clipPath>
+ <clipPath
+ id="clipPath25490-0"
+ clipPathUnits="userSpaceOnUse">
+ <path
+ inkscape:connector-curvature="0"
+ id="path25488-1"
+ d="M -2.736068,-2.736068 H 2.736068 V 2.736068 H -2.736068 Z" />
+ </clipPath>
+ <clipPath
+ id="clipPath25502-9"
+ clipPathUnits="userSpaceOnUse">
+ <path
+ inkscape:connector-curvature="0"
+ id="path25500-6"
+ d="M -2.736068,-2.736068 H 2.736068 V 2.736068 H -2.736068 Z" />
+ </clipPath>
+ <clipPath
+ id="clipPath25514-2"
+ clipPathUnits="userSpaceOnUse">
+ <path
+ inkscape:connector-curvature="0"
+ id="path25512-1"
+ d="M -2.736068,-2.736068 H 2.736068 V 2.736068 H -2.736068 Z" />
+ </clipPath>
+ <clipPath
+ id="clipPath25526-2"
+ clipPathUnits="userSpaceOnUse">
+ <path
+ inkscape:connector-curvature="0"
+ id="path25524-0"
+ d="M -2.736068,-2.736068 H 2.736068 V 2.736068 H -2.736068 Z" />
+ </clipPath>
+ <clipPath
+ id="clipPath25538-7"
+ clipPathUnits="userSpaceOnUse">
+ <path
+ inkscape:connector-curvature="0"
+ id="path25536-3"
+ d="M -2.736068,-2.736068 H 2.736068 V 2.736068 H -2.736068 Z" />
+ </clipPath>
+ <clipPath
+ id="clipPath25550-1"
+ clipPathUnits="userSpaceOnUse">
+ <path
+ inkscape:connector-curvature="0"
+ id="path25548-1"
+ d="M -2.736068,-2.736068 H 2.736068 V 2.736068 H -2.736068 Z" />
+ </clipPath>
+ <clipPath
+ id="clipPath25562-9"
+ clipPathUnits="userSpaceOnUse">
+ <path
+ inkscape:connector-curvature="0"
+ id="path25560-0"
+ d="M -2.736068,-2.736068 H 2.736068 V 2.736068 H -2.736068 Z" />
+ </clipPath>
+ <clipPath
+ id="clipPath25574-5"
+ clipPathUnits="userSpaceOnUse">
+ <path
+ inkscape:connector-curvature="0"
+ id="path25572-6"
+ d="M -2.736068,-2.736068 H 2.736068 V 2.736068 H -2.736068 Z" />
+ </clipPath>
+ <clipPath
+ id="clipPath25586-7"
+ clipPathUnits="userSpaceOnUse">
+ <path
+ inkscape:connector-curvature="0"
+ id="path25584-7"
+ d="M -2.736068,-2.736068 H 2.736068 V 2.736068 H -2.736068 Z" />
+ </clipPath>
+ <clipPath
+ id="clipPath25598-4"
+ clipPathUnits="userSpaceOnUse">
+ <path
+ inkscape:connector-curvature="0"
+ id="path25596-0"
+ d="M -2.736068,-2.736068 H 2.736068 V 2.736068 H -2.736068 Z" />
+ </clipPath>
+ <clipPath
+ id="clipPath25610-6"
+ clipPathUnits="userSpaceOnUse">
+ <path
+ inkscape:connector-curvature="0"
+ id="path25608-4"
+ d="M -2.736068,-2.736068 H 2.736068 V 2.736068 H -2.736068 Z" />
+ </clipPath>
+ <clipPath
+ id="clipPath25622-7"
+ clipPathUnits="userSpaceOnUse">
+ <path
+ inkscape:connector-curvature="0"
+ id="path25620-4"
+ d="M -2.736068,-2.736068 H 2.736068 V 2.736068 H -2.736068 Z" />
+ </clipPath>
+ <clipPath
+ id="clipPath25634-8"
+ clipPathUnits="userSpaceOnUse">
+ <path
+ inkscape:connector-curvature="0"
+ id="path25632-5"
+ d="M -2.736068,-2.736068 H 2.736068 V 2.736068 H -2.736068 Z" />
+ </clipPath>
+ <clipPath
+ id="clipPath25646-8"
+ clipPathUnits="userSpaceOnUse">
+ <path
+ inkscape:connector-curvature="0"
+ id="path25644-2"
+ d="M -2.736068,-2.736068 H 2.736068 V 2.736068 H -2.736068 Z" />
+ </clipPath>
+ <clipPath
+ id="clipPath25658-6"
+ clipPathUnits="userSpaceOnUse">
+ <path
+ inkscape:connector-curvature="0"
+ id="path25656-0"
+ d="M -2.736068,-2.736068 H 2.736068 V 2.736068 H -2.736068 Z" />
+ </clipPath>
+ <clipPath
+ id="clipPath25670-6"
+ clipPathUnits="userSpaceOnUse">
+ <path
+ inkscape:connector-curvature="0"
+ id="path25668-6"
+ d="M -2.736068,-2.736068 H 2.736068 V 2.736068 H -2.736068 Z" />
+ </clipPath>
+ <clipPath
+ id="clipPath25682-4"
+ clipPathUnits="userSpaceOnUse">
+ <path
+ inkscape:connector-curvature="0"
+ id="path25680-6"
+ d="M -2.736068,-2.736068 H 2.736068 V 2.736068 H -2.736068 Z" />
+ </clipPath>
+ <clipPath
+ id="clipPath25694-2"
+ clipPathUnits="userSpaceOnUse">
+ <path
+ inkscape:connector-curvature="0"
+ id="path25692-8"
+ d="M -2.736068,-2.736068 H 2.736068 V 2.736068 H -2.736068 Z" />
+ </clipPath>
+ <clipPath
+ id="clipPath25706-9"
+ clipPathUnits="userSpaceOnUse">
+ <path
+ inkscape:connector-curvature="0"
+ id="path25704-6"
+ d="M -2.736068,-2.736068 H 2.736068 V 2.736068 H -2.736068 Z" />
+ </clipPath>
+ <clipPath
+ id="clipPath25718-0"
+ clipPathUnits="userSpaceOnUse">
+ <path
+ inkscape:connector-curvature="0"
+ id="path25716-7"
+ d="M -2.736068,-2.736068 H 2.736068 V 2.736068 H -2.736068 Z" />
+ </clipPath>
+ <clipPath
+ id="clipPath25730-0"
+ clipPathUnits="userSpaceOnUse">
+ <path
+ inkscape:connector-curvature="0"
+ id="path25728-1"
+ d="M -2.736068,-2.736068 H 2.736068 V 2.736068 H -2.736068 Z" />
+ </clipPath>
+ <clipPath
+ id="clipPath25742-0"
+ clipPathUnits="userSpaceOnUse">
+ <path
+ inkscape:connector-curvature="0"
+ id="path25740-1"
+ d="M -2.736068,-2.736068 H 2.736068 V 2.736068 H -2.736068 Z" />
+ </clipPath>
+ <clipPath
+ id="clipPath25754-3"
+ clipPathUnits="userSpaceOnUse">
+ <path
+ inkscape:connector-curvature="0"
+ id="path25752-7"
+ d="M -2.736068,-2.736068 H 2.736068 V 2.736068 H -2.736068 Z" />
+ </clipPath>
+ <clipPath
+ id="clipPath25766-7"
+ clipPathUnits="userSpaceOnUse">
+ <path
+ inkscape:connector-curvature="0"
+ id="path25764-2"
+ d="M -2.736068,-2.736068 H 2.736068 V 2.736068 H -2.736068 Z" />
+ </clipPath>
+ <clipPath
+ id="clipPath25778-6"
+ clipPathUnits="userSpaceOnUse">
+ <path
+ inkscape:connector-curvature="0"
+ id="path25776-4"
+ d="M -2.736068,-2.736068 H 2.736068 V 2.736068 H -2.736068 Z" />
+ </clipPath>
+ <clipPath
+ id="clipPath25790-5"
+ clipPathUnits="userSpaceOnUse">
+ <path
+ inkscape:connector-curvature="0"
+ id="path25788-2"
+ d="M -2.736068,-2.736068 H 2.736068 V 2.736068 H -2.736068 Z" />
+ </clipPath>
+ <clipPath
+ id="clipPath25802-0"
+ clipPathUnits="userSpaceOnUse">
+ <path
+ inkscape:connector-curvature="0"
+ id="path25800-2"
+ d="M -2.736068,-2.736068 H 2.736068 V 2.736068 H -2.736068 Z" />
+ </clipPath>
+ <clipPath
+ id="clipPath25814-9"
+ clipPathUnits="userSpaceOnUse">
+ <path
+ inkscape:connector-curvature="0"
+ id="path25812-0"
+ d="M -2.736068,-2.736068 H 2.736068 V 2.736068 H -2.736068 Z" />
+ </clipPath>
+ <clipPath
+ id="clipPath25826-9"
+ clipPathUnits="userSpaceOnUse">
+ <path
+ inkscape:connector-curvature="0"
+ id="path25824-9"
+ d="M -2.736068,-2.736068 H 2.736068 V 2.736068 H -2.736068 Z" />
+ </clipPath>
+ <clipPath
+ id="clipPath25838-4"
+ clipPathUnits="userSpaceOnUse">
+ <path
+ inkscape:connector-curvature="0"
+ id="path25836-5"
+ d="M -2.736068,-2.736068 H 2.736068 V 2.736068 H -2.736068 Z" />
+ </clipPath>
+ <clipPath
+ id="clipPath25850-1"
+ clipPathUnits="userSpaceOnUse">
+ <path
+ inkscape:connector-curvature="0"
+ id="path25848-0"
+ d="M -2.736068,-2.736068 H 2.736068 V 2.736068 H -2.736068 Z" />
+ </clipPath>
+ <clipPath
+ id="clipPath25862-3"
+ clipPathUnits="userSpaceOnUse">
+ <path
+ inkscape:connector-curvature="0"
+ id="path25860-7"
+ d="M -2.736068,-2.736068 H 2.736068 V 2.736068 H -2.736068 Z" />
+ </clipPath>
+ <clipPath
+ id="clipPath25874-8"
+ clipPathUnits="userSpaceOnUse">
+ <path
+ inkscape:connector-curvature="0"
+ id="path25872-8"
+ d="M -2.736068,-2.736068 H 2.736068 V 2.736068 H -2.736068 Z" />
+ </clipPath>
+ <clipPath
+ id="clipPath25886-6"
+ clipPathUnits="userSpaceOnUse">
+ <path
+ inkscape:connector-curvature="0"
+ id="path25884-0"
+ d="M -2.736068,-2.736068 H 2.736068 V 2.736068 H -2.736068 Z" />
+ </clipPath>
+ <clipPath
+ id="clipPath25898-4"
+ clipPathUnits="userSpaceOnUse">
+ <path
+ inkscape:connector-curvature="0"
+ id="path25896-6"
+ d="M -2.736068,-2.736068 H 2.736068 V 2.736068 H -2.736068 Z" />
+ </clipPath>
+ <clipPath
+ id="clipPath25910-7"
+ clipPathUnits="userSpaceOnUse">
+ <path
+ inkscape:connector-curvature="0"
+ id="path25908-6"
+ d="M -2.736068,-2.736068 H 2.736068 V 2.736068 H -2.736068 Z" />
+ </clipPath>
+ <clipPath
+ id="clipPath25922-0"
+ clipPathUnits="userSpaceOnUse">
+ <path
+ inkscape:connector-curvature="0"
+ id="path25920-9"
+ d="M -2.736068,-2.736068 H 2.736068 V 2.736068 H -2.736068 Z" />
+ </clipPath>
+ <clipPath
+ id="clipPath25934-7"
+ clipPathUnits="userSpaceOnUse">
+ <path
+ inkscape:connector-curvature="0"
+ id="path25932-5"
+ d="M -2.736068,-2.736068 H 2.736068 V 2.736068 H -2.736068 Z" />
+ </clipPath>
+ <clipPath
+ id="clipPath25946-9"
+ clipPathUnits="userSpaceOnUse">
+ <path
+ inkscape:connector-curvature="0"
+ id="path25944-7"
+ d="M -2.736068,-2.736068 H 2.736068 V 2.736068 H -2.736068 Z" />
+ </clipPath>
+ <clipPath
+ id="clipPath25958-8"
+ clipPathUnits="userSpaceOnUse">
+ <path
+ inkscape:connector-curvature="0"
+ id="path25956-5"
+ d="M -2.736068,-2.736068 H 2.736068 V 2.736068 H -2.736068 Z" />
+ </clipPath>
+ <clipPath
+ id="clipPath25970-3"
+ clipPathUnits="userSpaceOnUse">
+ <path
+ inkscape:connector-curvature="0"
+ id="path25968-3"
+ d="M -2.736068,-2.736068 H 2.736068 V 2.736068 H -2.736068 Z" />
+ </clipPath>
+ <clipPath
+ id="clipPath25982-8"
+ clipPathUnits="userSpaceOnUse">
+ <path
+ inkscape:connector-curvature="0"
+ id="path25980-3"
+ d="M -2.736068,-2.736068 H 2.736068 V 2.736068 H -2.736068 Z" />
+ </clipPath>
+ <clipPath
+ id="clipPath25994-7"
+ clipPathUnits="userSpaceOnUse">
+ <path
+ inkscape:connector-curvature="0"
+ id="path25992-9"
+ d="M -2.736068,-2.736068 H 2.736068 V 2.736068 H -2.736068 Z" />
+ </clipPath>
+ <clipPath
+ id="clipPath26006-3"
+ clipPathUnits="userSpaceOnUse">
+ <path
+ inkscape:connector-curvature="0"
+ id="path26004-7"
+ d="M -2.736068,-2.736068 H 2.736068 V 2.736068 H -2.736068 Z" />
+ </clipPath>
+ <clipPath
+ id="clipPath26018-8"
+ clipPathUnits="userSpaceOnUse">
+ <path
+ inkscape:connector-curvature="0"
+ id="path26016-7"
+ d="M -2.736068,-2.736068 H 2.736068 V 2.736068 H -2.736068 Z" />
+ </clipPath>
+ <clipPath
+ id="clipPath26030-4"
+ clipPathUnits="userSpaceOnUse">
+ <path
+ inkscape:connector-curvature="0"
+ id="path26028-1"
+ d="M -2.736068,-2.736068 H 2.736068 V 2.736068 H -2.736068 Z" />
+ </clipPath>
+ <clipPath
+ id="clipPath26042-9"
+ clipPathUnits="userSpaceOnUse">
+ <path
+ inkscape:connector-curvature="0"
+ id="path26040-0"
+ d="M -2.736068,-2.736068 H 2.736068 V 2.736068 H -2.736068 Z" />
+ </clipPath>
+ <clipPath
+ id="clipPath26054-9"
+ clipPathUnits="userSpaceOnUse">
+ <path
+ inkscape:connector-curvature="0"
+ id="path26052-8"
+ d="M -2.736068,-2.736068 H 2.736068 V 2.736068 H -2.736068 Z" />
+ </clipPath>
+ <clipPath
+ id="clipPath26066-8"
+ clipPathUnits="userSpaceOnUse">
+ <path
+ inkscape:connector-curvature="0"
+ id="path26064-5"
+ d="M -2.736068,-2.736068 H 2.736068 V 2.736068 H -2.736068 Z" />
+ </clipPath>
+ <clipPath
+ id="clipPath26078-8"
+ clipPathUnits="userSpaceOnUse">
+ <path
+ inkscape:connector-curvature="0"
+ id="path26076-4"
+ d="M -2.736068,-2.736068 H 2.736068 V 2.736068 H -2.736068 Z" />
+ </clipPath>
+ <clipPath
+ id="clipPath26090-3"
+ clipPathUnits="userSpaceOnUse">
+ <path
+ inkscape:connector-curvature="0"
+ id="path26088-7"
+ d="M -2.736068,-2.736068 H 2.736068 V 2.736068 H -2.736068 Z" />
+ </clipPath>
+ <clipPath
+ id="clipPath26102-1"
+ clipPathUnits="userSpaceOnUse">
+ <path
+ inkscape:connector-curvature="0"
+ id="path26100-3"
+ d="M -2.736068,-2.736068 H 2.736068 V 2.736068 H -2.736068 Z" />
+ </clipPath>
+ <clipPath
+ id="clipPath26114-8"
+ clipPathUnits="userSpaceOnUse">
+ <path
+ inkscape:connector-curvature="0"
+ id="path26112-0"
+ d="M -2.736068,-2.736068 H 2.736068 V 2.736068 H -2.736068 Z" />
+ </clipPath>
+ <clipPath
+ id="clipPath26126-9"
+ clipPathUnits="userSpaceOnUse">
+ <path
+ inkscape:connector-curvature="0"
+ id="path26124-7"
+ d="M -2.736068,-2.736068 H 2.736068 V 2.736068 H -2.736068 Z" />
+ </clipPath>
+ <clipPath
+ id="clipPath26138-9"
+ clipPathUnits="userSpaceOnUse">
+ <path
+ inkscape:connector-curvature="0"
+ id="path26136-9"
+ d="M -2.736068,-2.736068 H 2.736068 V 2.736068 H -2.736068 Z" />
+ </clipPath>
+ <clipPath
+ id="clipPath26150-3"
+ clipPathUnits="userSpaceOnUse">
+ <path
+ inkscape:connector-curvature="0"
+ id="path26148-2"
+ d="M -2.736068,-2.736068 H 2.736068 V 2.736068 H -2.736068 Z" />
+ </clipPath>
+ <clipPath
+ clipPathUnits="userSpaceOnUse"
+ id="clipPath272">
+ <path
+ d="M 54,36 H 388.8 V 253.44 H 54 Z"
+ id="path270"
+ inkscape:connector-curvature="0" />
+ </clipPath>
+ <clipPath
+ clipPathUnits="userSpaceOnUse"
+ id="clipPath132">
+ <path
+ d="M 54,36 H 388.8 V 253.44 H 54 Z"
+ id="path130"
+ inkscape:connector-curvature="0" />
+ </clipPath>
+ <clipPath
+ clipPathUnits="userSpaceOnUse"
+ id="clipPath142">
+ <path
+ d="m -3.5,-3.5 h 7 v 7 h -7 z"
+ id="path140"
+ inkscape:connector-curvature="0" />
+ </clipPath>
+ <clipPath
+ clipPathUnits="userSpaceOnUse"
+ id="clipPath154">
+ <path
+ d="m -3.5,-3.5 h 7 v 7 h -7 z"
+ id="path152"
+ inkscape:connector-curvature="0" />
+ </clipPath>
+ <clipPath
+ clipPathUnits="userSpaceOnUse"
+ id="clipPath166">
+ <path
+ d="m -3.5,-3.5 h 7 v 7 h -7 z"
+ id="path164"
+ inkscape:connector-curvature="0" />
+ </clipPath>
+ <clipPath
+ clipPathUnits="userSpaceOnUse"
+ id="clipPath178">
+ <path
+ d="m -3.5,-3.5 h 7 v 7 h -7 z"
+ id="path176"
+ inkscape:connector-curvature="0" />
+ </clipPath>
+ <clipPath
+ clipPathUnits="userSpaceOnUse"
+ id="clipPath190">
+ <path
+ d="m -3.5,-3.5 h 7 v 7 h -7 z"
+ id="path188"
+ inkscape:connector-curvature="0" />
+ </clipPath>
+ <clipPath
+ clipPathUnits="userSpaceOnUse"
+ id="clipPath202">
+ <path
+ d="m -3.5,-3.5 h 7 v 7 h -7 z"
+ id="path200"
+ inkscape:connector-curvature="0" />
+ </clipPath>
+ <clipPath
+ clipPathUnits="userSpaceOnUse"
+ id="clipPath214">
+ <path
+ d="m -3.5,-3.5 h 7 v 7 h -7 z"
+ id="path212"
+ inkscape:connector-curvature="0" />
+ </clipPath>
+ <clipPath
+ clipPathUnits="userSpaceOnUse"
+ id="clipPath226">
+ <path
+ d="m -3.5,-3.5 h 7 v 7 h -7 z"
+ id="path224"
+ inkscape:connector-curvature="0" />
+ </clipPath>
+ <clipPath
+ clipPathUnits="userSpaceOnUse"
+ id="clipPath238">
+ <path
+ d="m -3.5,-3.5 h 7 v 7 h -7 z"
+ id="path236"
+ inkscape:connector-curvature="0" />
+ </clipPath>
+ <clipPath
+ clipPathUnits="userSpaceOnUse"
+ id="clipPath250">
+ <path
+ d="m -3.5,-3.5 h 7 v 7 h -7 z"
+ id="path248"
+ inkscape:connector-curvature="0" />
+ </clipPath>
+ <clipPath
+ clipPathUnits="userSpaceOnUse"
+ id="clipPath262">
+ <path
+ d="m -3.5,-3.5 h 7 v 7 h -7 z"
+ id="path260"
+ inkscape:connector-curvature="0" />
+ </clipPath>
+ <clipPath
+ clipPathUnits="userSpaceOnUse"
+ id="clipPath122">
+ <path
+ d="M 54,36 H 388.8 V 253.44 H 54 Z"
+ id="path120"
+ inkscape:connector-curvature="0" />
+ </clipPath>
+ <clipPath
+ clipPathUnits="userSpaceOnUse"
+ id="clipPath112">
+ <path
+ d="M 54,36 H 388.8 V 253.44 H 54 Z"
+ id="path110"
+ inkscape:connector-curvature="0" />
+ </clipPath>
+ <clipPath
+ clipPathUnits="userSpaceOnUse"
+ id="clipPath102">
+ <path
+ d="M 54,36 H 388.8 V 253.44 H 54 Z"
+ id="path100"
+ inkscape:connector-curvature="0" />
+ </clipPath>
+ <clipPath
+ clipPathUnits="userSpaceOnUse"
+ id="clipPath92">
+ <path
+ d="M 54,36 H 388.8 V 253.44 H 54 Z"
+ id="path90"
+ inkscape:connector-curvature="0" />
+ </clipPath>
+ <clipPath
+ clipPathUnits="userSpaceOnUse"
+ id="clipPath82">
+ <path
+ d="M 54,36 H 388.8 V 253.44 H 54 Z"
+ id="path80"
+ inkscape:connector-curvature="0" />
+ </clipPath>
+ <clipPath
+ id="clipPath20926"
+ clipPathUnits="userSpaceOnUse">
+ <path
+ inkscape:connector-curvature="0"
+ id="path20924"
+ d="M 54,36 H 388.8 V 253.44 H 54 Z" />
+ </clipPath>
+ <clipPath
+ id="clipPath20936"
+ clipPathUnits="userSpaceOnUse">
+ <path
+ inkscape:connector-curvature="0"
+ id="path20934"
+ d="M 54,36 H 388.8 V 253.44 H 54 Z" />
+ </clipPath>
+ <clipPath
+ id="clipPath20946"
+ clipPathUnits="userSpaceOnUse">
+ <path
+ inkscape:connector-curvature="0"
+ id="path20944"
+ d="M 54,36 H 388.8 V 253.44 H 54 Z" />
+ </clipPath>
+ <clipPath
+ id="clipPath20956"
+ clipPathUnits="userSpaceOnUse">
+ <path
+ inkscape:connector-curvature="0"
+ id="path20954"
+ d="M 54,36 H 388.8 V 253.44 H 54 Z" />
+ </clipPath>
+ <clipPath
+ id="clipPath20966"
+ clipPathUnits="userSpaceOnUse">
+ <path
+ inkscape:connector-curvature="0"
+ id="path20964"
+ d="M 54,36 H 388.8 V 253.44 H 54 Z" />
+ </clipPath>
+ <clipPath
+ id="clipPath20976"
+ clipPathUnits="userSpaceOnUse">
+ <path
+ inkscape:connector-curvature="0"
+ id="path20974"
+ d="M 54,36 H 388.8 V 253.44 H 54 Z" />
+ </clipPath>
+ <clipPath
+ id="clipPath20986"
+ clipPathUnits="userSpaceOnUse">
+ <path
+ inkscape:connector-curvature="0"
+ id="path20984"
+ d="M 54,36 H 388.8 V 253.44 H 54 Z" />
+ </clipPath>
+ <clipPath
+ id="clipPath20996"
+ clipPathUnits="userSpaceOnUse">
+ <path
+ inkscape:connector-curvature="0"
+ id="path20994"
+ d="M 54,36 H 388.8 V 253.44 H 54 Z" />
+ </clipPath>
+ <clipPath
+ id="clipPath21006"
+ clipPathUnits="userSpaceOnUse">
+ <path
+ inkscape:connector-curvature="0"
+ id="path21004"
+ d="M 54,36 H 388.8 V 253.44 H 54 Z" />
+ </clipPath>
+ <clipPath
+ id="clipPath21016"
+ clipPathUnits="userSpaceOnUse">
+ <path
+ inkscape:connector-curvature="0"
+ id="path21014"
+ d="M 54,36 H 388.8 V 253.44 H 54 Z" />
+ </clipPath>
+ <clipPath
+ id="clipPath21026"
+ clipPathUnits="userSpaceOnUse">
+ <path
+ inkscape:connector-curvature="0"
+ id="path21024"
+ d="M 54,36 H 388.8 V 253.44 H 54 Z" />
+ </clipPath>
+ <clipPath
+ id="clipPath21036"
+ clipPathUnits="userSpaceOnUse">
+ <path
+ inkscape:connector-curvature="0"
+ id="path21034"
+ d="m -3.5,-3.5 h 7 v 7 h -7 z" />
+ </clipPath>
+ <clipPath
+ id="clipPath21048"
+ clipPathUnits="userSpaceOnUse">
+ <path
+ inkscape:connector-curvature="0"
+ id="path21046"
+ d="m -3.5,-3.5 h 7 v 7 h -7 z" />
+ </clipPath>
+ <clipPath
+ id="clipPath21060"
+ clipPathUnits="userSpaceOnUse">
+ <path
+ inkscape:connector-curvature="0"
+ id="path21058"
+ d="m -3.5,-3.5 h 7 v 7 h -7 z" />
+ </clipPath>
+ <clipPath
+ id="clipPath21072"
+ clipPathUnits="userSpaceOnUse">
+ <path
+ inkscape:connector-curvature="0"
+ id="path21070"
+ d="m -3.5,-3.5 h 7 v 7 h -7 z" />
+ </clipPath>
+ <clipPath
+ id="clipPath21084"
+ clipPathUnits="userSpaceOnUse">
+ <path
+ inkscape:connector-curvature="0"
+ id="path21082"
+ d="m -3.5,-3.5 h 7 v 7 h -7 z" />
+ </clipPath>
+ <clipPath
+ id="clipPath21096"
+ clipPathUnits="userSpaceOnUse">
+ <path
+ inkscape:connector-curvature="0"
+ id="path21094"
+ d="m -3.5,-3.5 h 7 v 7 h -7 z" />
+ </clipPath>
+ <clipPath
+ id="clipPath21108"
+ clipPathUnits="userSpaceOnUse">
+ <path
+ inkscape:connector-curvature="0"
+ id="path21106"
+ d="m -3.5,-3.5 h 7 v 7 h -7 z" />
+ </clipPath>
+ <clipPath
+ id="clipPath21118"
+ clipPathUnits="userSpaceOnUse">
+ <path
+ inkscape:connector-curvature="0"
+ id="path21116"
+ d="M 54,36 H 388.8 V 253.44 H 54 Z" />
+ </clipPath>
+ <clipPath
+ id="clipPath21128"
+ clipPathUnits="userSpaceOnUse">
+ <path
+ inkscape:connector-curvature="0"
+ id="path21126"
+ d="M 54,36 H 388.8 V 253.44 H 54 Z" />
+ </clipPath>
+ <clipPath
+ id="clipPath23791"
+ clipPathUnits="userSpaceOnUse">
+ <path
+ inkscape:connector-curvature="0"
+ id="path23789"
+ d="M 54,36 H 388.8 V 253.44 H 54 Z" />
+ </clipPath>
+ <clipPath
+ id="clipPath23801"
+ clipPathUnits="userSpaceOnUse">
+ <path
+ inkscape:connector-curvature="0"
+ id="path23799"
+ d="M 54,36 H 388.8 V 253.44 H 54 Z" />
+ </clipPath>
+ <clipPath
+ id="clipPath23811"
+ clipPathUnits="userSpaceOnUse">
+ <path
+ inkscape:connector-curvature="0"
+ id="path23809"
+ d="M 54,36 H 388.8 V 253.44 H 54 Z" />
+ </clipPath>
+ <clipPath
+ id="clipPath23821"
+ clipPathUnits="userSpaceOnUse">
+ <path
+ inkscape:connector-curvature="0"
+ id="path23819"
+ d="M 54,36 H 388.8 V 253.44 H 54 Z" />
+ </clipPath>
+ <clipPath
+ id="clipPath23831"
+ clipPathUnits="userSpaceOnUse">
+ <path
+ inkscape:connector-curvature="0"
+ id="path23829"
+ d="M 54,36 H 388.8 V 253.44 H 54 Z" />
+ </clipPath>
+ <clipPath
+ id="clipPath23841"
+ clipPathUnits="userSpaceOnUse">
+ <path
+ inkscape:connector-curvature="0"
+ id="path23839"
+ d="M 54,36 H 388.8 V 253.44 H 54 Z" />
+ </clipPath>
+ <clipPath
+ id="clipPath23851"
+ clipPathUnits="userSpaceOnUse">
+ <path
+ inkscape:connector-curvature="0"
+ id="path23849"
+ d="M 54,36 H 388.8 V 253.44 H 54 Z" />
+ </clipPath>
+ <clipPath
+ id="clipPath23861"
+ clipPathUnits="userSpaceOnUse">
+ <path
+ inkscape:connector-curvature="0"
+ id="path23859"
+ d="M 54,36 H 388.8 V 253.44 H 54 Z" />
+ </clipPath>
+ <clipPath
+ id="clipPath23871"
+ clipPathUnits="userSpaceOnUse">
+ <path
+ inkscape:connector-curvature="0"
+ id="path23869"
+ d="M 54,36 H 388.8 V 253.44 H 54 Z" />
+ </clipPath>
+ <clipPath
+ id="clipPath23881"
+ clipPathUnits="userSpaceOnUse">
+ <path
+ inkscape:connector-curvature="0"
+ id="path23879"
+ d="M 54,36 H 388.8 V 253.44 H 54 Z" />
+ </clipPath>
+ <clipPath
+ id="clipPath42476"
+ clipPathUnits="userSpaceOnUse">
+ <path
+ inkscape:connector-curvature="0"
+ id="path42474"
+ d="M 54,36 H 388.8 V 253.44 H 54 Z" />
+ </clipPath>
+ <clipPath
+ id="clipPath42486"
+ clipPathUnits="userSpaceOnUse">
+ <path
+ inkscape:connector-curvature="0"
+ id="path42484"
+ d="M 54,36 H 388.8 V 253.44 H 54 Z" />
+ </clipPath>
+ <clipPath
+ id="clipPath42496"
+ clipPathUnits="userSpaceOnUse">
+ <path
+ inkscape:connector-curvature="0"
+ id="path42494"
+ d="M 54,36 H 388.8 V 253.44 H 54 Z" />
+ </clipPath>
+ <clipPath
+ id="clipPath21118-6"
+ clipPathUnits="userSpaceOnUse">
+ <path
+ inkscape:connector-curvature="0"
+ id="path21116-7"
+ d="M 54,36 H 388.8 V 253.44 H 54 Z" />
+ </clipPath>
+ <clipPath
+ id="clipPath21128-3"
+ clipPathUnits="userSpaceOnUse">
+ <path
+ inkscape:connector-curvature="0"
+ id="path21126-6"
+ d="M 54,36 H 388.8 V 253.44 H 54 Z" />
+ </clipPath>
+ <clipPath
+ id="clipPath20926-5"
+ clipPathUnits="userSpaceOnUse">
+ <path
+ inkscape:connector-curvature="0"
+ id="path20924-6"
+ d="M 54,36 H 388.8 V 253.44 H 54 Z" />
+ </clipPath>
+ <clipPath
+ id="clipPath20936-3"
+ clipPathUnits="userSpaceOnUse">
+ <path
+ inkscape:connector-curvature="0"
+ id="path20934-9"
+ d="M 54,36 H 388.8 V 253.44 H 54 Z" />
+ </clipPath>
+ <clipPath
+ id="clipPath20946-4"
+ clipPathUnits="userSpaceOnUse">
+ <path
+ inkscape:connector-curvature="0"
+ id="path20944-8"
+ d="M 54,36 H 388.8 V 253.44 H 54 Z" />
+ </clipPath>
+ <clipPath
+ id="clipPath20956-1"
+ clipPathUnits="userSpaceOnUse">
+ <path
+ inkscape:connector-curvature="0"
+ id="path20954-2"
+ d="M 54,36 H 388.8 V 253.44 H 54 Z" />
+ </clipPath>
+ <clipPath
+ id="clipPath20966-9"
+ clipPathUnits="userSpaceOnUse">
+ <path
+ inkscape:connector-curvature="0"
+ id="path20964-3"
+ d="M 54,36 H 388.8 V 253.44 H 54 Z" />
+ </clipPath>
+ <clipPath
+ id="clipPath20976-9"
+ clipPathUnits="userSpaceOnUse">
+ <path
+ inkscape:connector-curvature="0"
+ id="path20974-0"
+ d="M 54,36 H 388.8 V 253.44 H 54 Z" />
+ </clipPath>
+ <clipPath
+ id="clipPath20986-8"
+ clipPathUnits="userSpaceOnUse">
+ <path
+ inkscape:connector-curvature="0"
+ id="path20984-8"
+ d="M 54,36 H 388.8 V 253.44 H 54 Z" />
+ </clipPath>
+ <clipPath
+ id="clipPath20996-5"
+ clipPathUnits="userSpaceOnUse">
+ <path
+ inkscape:connector-curvature="0"
+ id="path20994-0"
+ d="M 54,36 H 388.8 V 253.44 H 54 Z" />
+ </clipPath>
+ <clipPath
+ id="clipPath21006-9"
+ clipPathUnits="userSpaceOnUse">
+ <path
+ inkscape:connector-curvature="0"
+ id="path21004-6"
+ d="M 54,36 H 388.8 V 253.44 H 54 Z" />
+ </clipPath>
+ <clipPath
+ id="clipPath21016-3"
+ clipPathUnits="userSpaceOnUse">
+ <path
+ inkscape:connector-curvature="0"
+ id="path21014-8"
+ d="M 54,36 H 388.8 V 253.44 H 54 Z" />
+ </clipPath>
+ <clipPath
+ id="clipPath21026-5"
+ clipPathUnits="userSpaceOnUse">
+ <path
+ inkscape:connector-curvature="0"
+ id="path21024-6"
+ d="M 54,36 H 388.8 V 253.44 H 54 Z" />
+ </clipPath>
+ <clipPath
+ id="clipPath21036-1"
+ clipPathUnits="userSpaceOnUse">
+ <path
+ inkscape:connector-curvature="0"
+ id="path21034-1"
+ d="m -3.5,-3.5 h 7 v 7 h -7 z" />
+ </clipPath>
+ <clipPath
+ id="clipPath21048-5"
+ clipPathUnits="userSpaceOnUse">
+ <path
+ inkscape:connector-curvature="0"
+ id="path21046-9"
+ d="m -3.5,-3.5 h 7 v 7 h -7 z" />
+ </clipPath>
+ <clipPath
+ id="clipPath21060-8"
+ clipPathUnits="userSpaceOnUse">
+ <path
+ inkscape:connector-curvature="0"
+ id="path21058-4"
+ d="m -3.5,-3.5 h 7 v 7 h -7 z" />
+ </clipPath>
+ <clipPath
+ id="clipPath21072-8"
+ clipPathUnits="userSpaceOnUse">
+ <path
+ inkscape:connector-curvature="0"
+ id="path21070-1"
+ d="m -3.5,-3.5 h 7 v 7 h -7 z" />
+ </clipPath>
+ <clipPath
+ id="clipPath21084-0"
+ clipPathUnits="userSpaceOnUse">
+ <path
+ inkscape:connector-curvature="0"
+ id="path21082-3"
+ d="m -3.5,-3.5 h 7 v 7 h -7 z" />
+ </clipPath>
+ <clipPath
+ id="clipPath21096-0"
+ clipPathUnits="userSpaceOnUse">
+ <path
+ inkscape:connector-curvature="0"
+ id="path21094-4"
+ d="m -3.5,-3.5 h 7 v 7 h -7 z" />
+ </clipPath>
+ <clipPath
+ id="clipPath21108-4"
+ clipPathUnits="userSpaceOnUse">
+ <path
+ inkscape:connector-curvature="0"
+ id="path21106-4"
+ d="m -3.5,-3.5 h 7 v 7 h -7 z" />
+ </clipPath>
+ </defs>
+ <sodipodi:namedview
+ id="base"
+ pagecolor="#ffffff"
+ bordercolor="#666666"
+ borderopacity="1.0"
+ inkscape:pageopacity="0.0"
+ inkscape:pageshadow="2"
+ inkscape:zoom="0.52850025"
+ inkscape:cx="304.48721"
+ inkscape:cy="323.02301"
+ inkscape:document-units="mm"
+ inkscape:current-layer="layer1"
+ showgrid="false"
+ inkscape:window-width="1551"
+ inkscape:window-height="849"
+ inkscape:window-x="49"
+ inkscape:window-y="27"
+ inkscape:window-maximized="1"
+ showguides="false"
+ fit-margin-top="0"
+ fit-margin-left="0"
+ fit-margin-right="0"
+ fit-margin-bottom="0" />
+ <metadata
+ id="metadata15562">
+ <rdf:RDF>
+ <cc:Work
+ rdf:about="">
+ <dc:format>image/svg+xml</dc:format>
+ <dc:type
+ rdf:resource="http://purl.org/dc/dcmitype/StillImage" />
+ <dc:title />
+ </cc:Work>
+ </rdf:RDF>
+ </metadata>
+ <g
+ inkscape:label="Layer 1"
+ inkscape:groupmode="layer"
+ id="layer1"
+ transform="translate(2.9900145,-83.072472)">
+ <g
+ id="g3126"
+ transform="matrix(0.89985527,0,0,0.89947476,13.672209,12.344233)"
+ style="stroke-width:1.11152482">
+ <path
+ inkscape:connector-curvature="0"
+ id="path6109-2"
+ d="M 99.794627,121.59047 H 147.68421"
+ style="fill:none;stroke:#000000;stroke-width:0.44460994;stroke-linecap:butt;stroke-linejoin:miter;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1;marker-end:url(#Arrow2Lend-7)" />
+ <text
+ id="text47247-6-7"
+ y="115.60715"
+ x="106.41215"
+ style="font-style:normal;font-weight:normal;font-size:12.12705898px;line-height:1.25;font-family:sans-serif;letter-spacing:0px;word-spacing:0px;fill:#000000;fill-opacity:1;stroke:none;stroke-width:0.33698818"
+ xml:space="preserve"><tspan
+ style="font-style:normal;font-variant:normal;font-weight:normal;font-stretch:normal;font-size:8.08470631px;font-family:monospace;-inkscape-font-specification:monospace;stroke-width:0.33698818"
+ y="115.60715"
+ x="106.41215"
+ id="tspan47245-1-51"
+ sodipodi:role="line">.plot.*</tspan></text>
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-1-74-3"
+ style="fill:#afabab;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.41416982;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="M -2.8037002,112.52508 H 15.307077 v -8.8691 H -2.8037002 Z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-7-17-4"
+ style="fill:#150458;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.41416982;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="M 16.419028,102.54403 H 34.529812 V 93.674949 H 16.419028 Z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-1-9-1-6"
+ style="fill:#150458;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.41416982;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m 16.419028,112.52508 h 18.110784 v -8.8691 H 16.419028 Z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-2-1-3"
+ style="fill:#afabab;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.41416982;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="M -2.8037074,121.76678 H 15.307077 v -8.86909 H -2.8037074 Z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-7-5-1-6"
+ style="fill:#150458;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.41416982;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m 16.419028,121.76678 h 18.110784 v -8.86909 H 16.419028 Z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-6-7-3"
+ style="fill:#afabab;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.41416982;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="M 34.902427,102.54403 H 53.013218 V 93.674949 H 34.902427 Z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-1-5-0-3"
+ style="fill:#afabab;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.41416982;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m 34.902427,112.52508 h 18.110791 v -8.8691 H 34.902427 Z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-2-3-4-4"
+ style="fill:#afabab;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.41416982;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m 34.902427,121.76678 h 18.110791 v -8.86909 H 34.902427 Z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-1-7-0-4"
+ style="fill:#afabab;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.41416982;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="M -2.8037002,131.00849 H 15.307077 V 122.1394 H -2.8037002 Z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-1-9-8-8-3"
+ style="fill:#150458;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.41416982;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="M 16.419028,131.00849 H 34.529812 V 122.1394 H 16.419028 Z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-1-7-8-51-9"
+ style="fill:#afabab;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.41416982;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="M 34.902427,131.00849 H 53.013218 V 122.1394 H 34.902427 Z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-1-7-5-6-7"
+ style="fill:#afabab;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.41416982;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="M -2.8037002,140.2502 H 15.307077 v -8.86909 H -2.8037002 Z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-1-9-8-0-6-2"
+ style="fill:#150458;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.41416982;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m 16.419028,140.2502 h 18.110784 v -8.86909 H 16.419028 Z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-1-7-8-5-21-5"
+ style="fill:#afabab;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.41416982;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m 34.902427,140.2502 h 18.110791 v -8.86909 H 34.902427 Z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-1-7-5-2-96-8"
+ style="fill:#afabab;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.41416982;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="M -2.8037002,149.4919 H 15.307077 v -8.86909 H -2.8037002 Z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-1-9-8-0-7-4-9"
+ style="fill:#150458;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.41416982;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m 16.419028,149.4919 h 18.110784 v -8.86909 H 16.419028 Z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-1-7-8-5-2-8-0"
+ style="fill:#afabab;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.41416982;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m 34.902427,149.4919 h 18.110791 v -8.86909 H 34.902427 Z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-1-9-8-2-0-2"
+ style="fill:#ffca00;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.41416982;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m 53.385833,131.00849 h 18.11077 v -8.86909 h -18.11077 z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-7-8-8-4"
+ style="fill:#ffca00;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.41416982;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="M 53.385826,102.54403 H 71.496603 V 93.674949 H 53.385826 Z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-1-9-4-1-7"
+ style="fill:#ffca00;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.41416982;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m 53.385833,112.52508 h 18.11077 v -8.8691 h -18.11077 z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-7-5-5-0-6"
+ style="fill:#ffca00;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.41416982;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m 53.385826,121.76678 h 18.110777 v -8.86909 H 53.385826 Z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-1-9-8-2-7-2-5"
+ style="fill:#ffca00;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.41416982;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m 53.385833,140.2502 h 18.11077 v -8.86909 h -18.11077 z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-1-9-8-2-7-1-29-7"
+ style="fill:#ffca00;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.41416982;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m 53.385833,149.4919 h 18.11077 v -8.86909 h -18.11077 z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-1-9-8-2-4-7-1"
+ style="fill:#ffca00;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.41416982;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="M 71.869225,131.00849 H 89.979987 V 122.1394 H 71.869225 Z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-7-8-2-5-3"
+ style="fill:#ffca00;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.41416982;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="M 71.869218,102.54403 H 89.979987 V 93.674949 H 71.869218 Z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-1-9-4-2-6-3"
+ style="fill:#ffca00;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.41416982;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m 71.869225,112.52508 h 18.110762 v -8.8691 H 71.869225 Z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-7-5-5-1-4-3"
+ style="fill:#ffca00;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.41416982;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m 71.869218,121.76678 h 18.110769 v -8.86909 H 71.869218 Z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-1-9-8-2-7-6-6-8"
+ style="fill:#ffca00;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.41416982;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m 71.869225,140.2502 h 18.110762 v -8.86909 H 71.869225 Z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-1-9-8-2-7-1-2-3-5"
+ style="fill:#ffca00;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.41416982;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m 71.869225,149.4919 h 18.110762 v -8.86909 H 71.869225 Z" />
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke-width:1.11152482"
+ id="g3833">
+ <path
+ inkscape:connector-curvature="0"
+ id="path23812"
+ style="fill:#ffca00;fill-opacity:1;fill-rule:nonzero;stroke:none;stroke-width:0.35804299;stroke-linecap:butt;stroke-linejoin:round;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ d="m 189.7326,108.3544 c 0.18739,0 0.36713,-0.0744 0.49963,-0.20696 0.13251,-0.1325 0.20696,-0.31224 0.20696,-0.49963 0,-0.18739 -0.0744,-0.36713 -0.20696,-0.49964 -0.1325,-0.1325 -0.31224,-0.20695 -0.49963,-0.20695 -0.18739,0 -0.36713,0.0744 -0.49963,0.20695 -0.13251,0.13251 -0.20697,0.31225 -0.20697,0.49964 0,0.18739 0.0744,0.36713 0.20697,0.49963 0.1325,0.13251 0.31224,0.20696 0.49963,0.20696 z" />
+ <path
+ d="m 187.00776,102.79094 c 0.18739,0 0.36713,-0.0745 0.49963,-0.20695 0.13251,-0.13251 0.20696,-0.31225 0.20696,-0.49964 0,-0.18739 -0.0744,-0.36713 -0.20696,-0.49963 -0.1325,-0.13251 -0.31224,-0.20696 -0.49963,-0.20696 -0.18739,0 -0.36713,0.0744 -0.49963,0.20696 -0.13251,0.1325 -0.20696,0.31224 -0.20696,0.49963 0,0.18739 0.0744,0.36713 0.20696,0.49964 0.1325,0.1325 0.31224,0.20695 0.49963,0.20695 z"
+ style="fill:#ffca00;fill-opacity:1;fill-rule:nonzero;stroke:none;stroke-width:0.35804299;stroke-linecap:butt;stroke-linejoin:round;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ id="path23824"
+ inkscape:connector-curvature="0" />
+ <g
+ id="g23830"
+ clip-path="url(#clipPath23834-3)"
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ transform="matrix(0.31599668,0,0,-0.31599668,163.8466,114.13986)">
+ <path
+ d="m 0,-2.236068 c 0.593012,0 1.161816,0.235606 1.581139,0.654929 C 2.000462,-1.161816 2.236068,-0.593012 2.236068,0 c 0,0.593012 -0.235606,1.161816 -0.654929,1.581139 C 1.161816,2.000462 0.593012,2.236068 0,2.236068 c -0.593012,0 -1.161816,-0.235606 -1.581139,-0.654929 C -2.000462,1.161816 -2.236068,0.593012 -2.236068,0 c 0,-0.593012 0.235606,-1.161816 0.654929,-1.581139 C -1.161816,-2.000462 -0.593012,-2.236068 0,-2.236068 Z"
+ style="fill:#ffca00;fill-opacity:1;fill-rule:nonzero;stroke:none;stroke-width:1.13305926;stroke-linecap:butt;stroke-linejoin:round;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ id="path23836"
+ inkscape:connector-curvature="0" />
+ </g>
+ <path
+ inkscape:connector-curvature="0"
+ style="fill:#ffca00;fill-opacity:1;fill-rule:nonzero;stroke:none;stroke-width:0.35804299;stroke-linecap:butt;stroke-linejoin:round;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ d="m 180.19566,113.17061 c 0.18739,0 0.36713,-0.0744 0.49963,-0.20695 0.13251,-0.13251 0.20696,-0.31225 0.20696,-0.49964 0,-0.18739 -0.0744,-0.36713 -0.20696,-0.49963 -0.1325,-0.13251 -0.31224,-0.20696 -0.49963,-0.20696 -0.18739,0 -0.36713,0.0744 -0.49963,0.20696 -0.13251,0.1325 -0.20697,0.31224 -0.20697,0.49963 0,0.18739 0.0745,0.36713 0.20697,0.49964 0.1325,0.1325 0.31224,0.20695 0.49963,0.20695 z"
+ id="path23860" />
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ clip-path="url(#clipPath23870-0)"
+ id="g23866"
+ transform="matrix(0.31599668,0,0,-0.31599668,201.9944,116.85251)">
+ <path
+ inkscape:connector-curvature="0"
+ id="path23872"
+ style="fill:#ffca00;fill-opacity:1;fill-rule:nonzero;stroke:none;stroke-width:1.13305926;stroke-linecap:butt;stroke-linejoin:round;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ d="m 0,-2.236068 c 0.593012,0 1.161816,0.235606 1.581139,0.654929 C 2.000462,-1.161816 2.236068,-0.593012 2.236068,0 c 0,0.593012 -0.235606,1.161816 -0.654929,1.581139 C 1.161816,2.000462 0.593012,2.236068 0,2.236068 c -0.593012,0 -1.161816,-0.235606 -1.581139,-0.654929 C -2.000462,1.161816 -2.236068,0.593012 -2.236068,0 c 0,-0.593012 0.235606,-1.161816 0.654929,-1.581139 C -1.161816,-2.000462 -0.593012,-2.236068 0,-2.236068 Z" />
+ </g>
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ id="g23876"
+ transform="matrix(0.31599668,0,0,-0.31599668,208.80651,114.90184)">
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ clip-path="url(#clipPath23882-9)"
+ id="g23878">
+ <path
+ inkscape:connector-curvature="0"
+ id="path23884"
+ style="fill:#ffca00;fill-opacity:1;fill-rule:nonzero;stroke:none;stroke-width:1.13305926;stroke-linecap:butt;stroke-linejoin:round;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ d="m 0,-2.236068 c 0.593012,0 1.161816,0.235606 1.581139,0.654929 C 2.000462,-1.161816 2.236068,-0.593012 2.236068,0 c 0,0.593012 -0.235606,1.161816 -0.654929,1.581139 C 1.161816,2.000462 0.593012,2.236068 0,2.236068 c -0.593012,0 -1.161816,-0.235606 -1.581139,-0.654929 C -2.000462,1.161816 -2.236068,0.593012 -2.236068,0 c 0,-0.593012 0.235606,-1.161816 0.654929,-1.581139 C -1.161816,-2.000462 -0.593012,-2.236068 0,-2.236068 Z" />
+ </g>
+ </g>
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ transform="matrix(0.31599668,0,0,-0.31599668,193.39883,118.19034)"
+ id="g23886">
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ id="g23888">
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ clip-path="url(#clipPath23894-6)"
+ id="g23890">
+ <path
+ inkscape:connector-curvature="0"
+ id="path23896"
+ style="fill:#ffca00;fill-opacity:1;fill-rule:nonzero;stroke:none;stroke-width:1.13305926;stroke-linecap:butt;stroke-linejoin:round;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ d="m 0,-2.236068 c 0.593012,0 1.161816,0.235606 1.581139,0.654929 C 2.000462,-1.161816 2.236068,-0.593012 2.236068,0 c 0,0.593012 -0.235606,1.161816 -0.654929,1.581139 C 1.161816,2.000462 0.593012,2.236068 0,2.236068 c -0.593012,0 -1.161816,-0.235606 -1.581139,-0.654929 C -2.000462,1.161816 -2.236068,0.593012 -2.236068,0 c 0,-0.593012 0.235606,-1.161816 0.654929,-1.581139 C -1.161816,-2.000462 -0.593012,-2.236068 0,-2.236068 Z" />
+ </g>
+ </g>
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ transform="translate(-8.6230106,6.5685171)"
+ id="g23898">
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ id="g23900">
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ clip-path="url(#clipPath23906-2)"
+ id="g23902">
+ <path
+ inkscape:connector-curvature="0"
+ id="path23908"
+ style="fill:#ffca00;fill-opacity:1;fill-rule:nonzero;stroke:none;stroke-width:1.13305926;stroke-linecap:butt;stroke-linejoin:round;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ d="m 0,-2.236068 c 0.593012,0 1.161816,0.235606 1.581139,0.654929 C 2.000462,-1.161816 2.236068,-0.593012 2.236068,0 c 0,0.593012 -0.235606,1.161816 -0.654929,1.581139 C 1.161816,2.000462 0.593012,2.236068 0,2.236068 c -0.593012,0 -1.161816,-0.235606 -1.581139,-0.654929 C -2.000462,1.161816 -2.236068,0.593012 -2.236068,0 c 0,-0.593012 0.235606,-1.161816 0.654929,-1.581139 C -1.161816,-2.000462 -0.593012,-2.236068 0,-2.236068 Z" />
+ </g>
+ </g>
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ transform="translate(-150.90269,22.264784)"
+ id="g23910">
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ id="g23912">
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ clip-path="url(#clipPath23918-4)"
+ id="g23914" />
+ </g>
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ transform="translate(163.8372,-21.440103)"
+ id="g23922">
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ id="g23924">
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ clip-path="url(#clipPath23930-7)"
+ id="g23926">
+ <path
+ inkscape:connector-curvature="0"
+ id="path23932"
+ style="fill:#ffca00;fill-opacity:1;fill-rule:nonzero;stroke:none;stroke-width:1.13305926;stroke-linecap:butt;stroke-linejoin:round;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ d="m 0,-2.236068 c 0.593012,0 1.161816,0.235606 1.581139,0.654929 C 2.000462,-1.161816 2.236068,-0.593012 2.236068,0 c 0,0.593012 -0.235606,1.161816 -0.654929,1.581139 C 1.161816,2.000462 0.593012,2.236068 0,2.236068 c -0.593012,0 -1.161816,-0.235606 -1.581139,-0.654929 C -2.000462,1.161816 -2.236068,0.593012 -2.236068,0 c 0,-0.593012 0.235606,-1.161816 0.654929,-1.581139 C -1.161816,-2.000462 -0.593012,-2.236068 0,-2.236068 Z" />
+ </g>
+ </g>
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ transform="translate(56.049569,-3.9690819)"
+ id="g23934">
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ id="g23936">
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ clip-path="url(#clipPath23942-4)"
+ id="g23938" />
+ </g>
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ transform="translate(-224.19828,9.8688641)"
+ id="g23946">
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ id="g23948">
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ clip-path="url(#clipPath23954-1)"
+ id="g23950" />
+ </g>
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ transform="translate(60.361074,-12.984328)"
+ id="g23958">
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ id="g23960">
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ clip-path="url(#clipPath23966-8)"
+ id="g23962">
+ <path
+ inkscape:connector-curvature="0"
+ id="path23968"
+ style="fill:#ffca00;fill-opacity:1;fill-rule:nonzero;stroke:none;stroke-width:1.13305926;stroke-linecap:butt;stroke-linejoin:round;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ d="m 0,-2.236068 c 0.593012,0 1.161816,0.235606 1.581139,0.654929 C 2.000462,-1.161816 2.236068,-0.593012 2.236068,0 c 0,0.593012 -0.235606,1.161816 -0.654929,1.581139 C 1.161816,2.000462 0.593012,2.236068 0,2.236068 c -0.593012,0 -1.161816,-0.235606 -1.581139,-0.654929 C -2.000462,1.161816 -2.236068,0.593012 -2.236068,0 c 0,-0.593012 0.235606,-1.161816 0.654929,-1.581139 C -1.161816,-2.000462 -0.593012,-2.236068 0,-2.236068 Z" />
+ </g>
+ </g>
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ transform="translate(4.3115053,2.5190697)"
+ id="g23970">
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ id="g23972">
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ clip-path="url(#clipPath23978-3)"
+ id="g23974">
+ <path
+ inkscape:connector-curvature="0"
+ id="path23980"
+ style="fill:#ffca00;fill-opacity:1;fill-rule:nonzero;stroke:none;stroke-width:1.13305926;stroke-linecap:butt;stroke-linejoin:round;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ d="m 0,-2.236068 c 0.593012,0 1.161816,0.235606 1.581139,0.654929 C 2.000462,-1.161816 2.236068,-0.593012 2.236068,0 c 0,0.593012 -0.235606,1.161816 -0.654929,1.581139 C 1.161816,2.000462 0.593012,2.236068 0,2.236068 c -0.593012,0 -1.161816,-0.235606 -1.581139,-0.654929 C -2.000462,1.161816 -2.236068,0.593012 -2.236068,0 c 0,-0.593012 0.235606,-1.161816 0.654929,-1.581139 C -1.161816,-2.000462 -0.593012,-2.236068 0,-2.236068 Z" />
+ </g>
+ </g>
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ transform="translate(129.34516,14.48577)"
+ id="g23982">
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ id="g23984">
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ clip-path="url(#clipPath23990-8)"
+ id="g23986">
+ <path
+ inkscape:connector-curvature="0"
+ id="path23992"
+ style="fill:#ffca00;fill-opacity:1;fill-rule:nonzero;stroke:none;stroke-width:1.13305926;stroke-linecap:butt;stroke-linejoin:round;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ d="m 0,-2.236068 c 0.593012,0 1.161816,0.235606 1.581139,0.654929 C 2.000462,-1.161816 2.236068,-0.593012 2.236068,0 c 0,0.593012 -0.235606,1.161816 -0.654929,1.581139 C 1.161816,2.000462 0.593012,2.236068 0,2.236068 c -0.593012,0 -1.161816,-0.235606 -1.581139,-0.654929 C -2.000462,1.161816 -2.236068,0.593012 -2.236068,0 c 0,-0.593012 0.235606,-1.161816 0.654929,-1.581139 C -1.161816,-2.000462 -0.593012,-2.236068 0,-2.236068 Z" />
+ </g>
+ </g>
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ transform="translate(-25.869032)"
+ id="g23994">
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ id="g23996">
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ clip-path="url(#clipPath24002-2)"
+ id="g23998">
+ <path
+ inkscape:connector-curvature="0"
+ id="path24004"
+ style="fill:#ffca00;fill-opacity:1;fill-rule:nonzero;stroke:none;stroke-width:1.13305926;stroke-linecap:butt;stroke-linejoin:round;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ d="m 0,-2.236068 c 0.593012,0 1.161816,0.235606 1.581139,0.654929 C 2.000462,-1.161816 2.236068,-0.593012 2.236068,0 c 0,0.593012 -0.235606,1.161816 -0.654929,1.581139 C 1.161816,2.000462 0.593012,2.236068 0,2.236068 c -0.593012,0 -1.161816,-0.235606 -1.581139,-0.654929 C -2.000462,1.161816 -2.236068,0.593012 -2.236068,0 c 0,-0.593012 0.235606,-1.161816 0.654929,-1.581139 C -1.161816,-2.000462 -0.593012,-2.236068 0,-2.236068 Z" />
+ </g>
+ </g>
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ transform="translate(-90.541612,81.166037)"
+ id="g24006">
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ id="g24008">
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ clip-path="url(#clipPath24014-0)"
+ id="g24010" />
+ </g>
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ transform="translate(-30.180537,-85.916396)"
+ id="g24018">
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ id="g24020">
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ clip-path="url(#clipPath24026-1)"
+ id="g24022" />
+ </g>
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ transform="translate(43.115053,-7.8819118)"
+ id="g24030">
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ id="g24032">
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ clip-path="url(#clipPath24038-0)"
+ id="g24034">
+ <path
+ inkscape:connector-curvature="0"
+ id="path24040"
+ style="fill:#ffca00;fill-opacity:1;fill-rule:nonzero;stroke:none;stroke-width:1.13305926;stroke-linecap:butt;stroke-linejoin:round;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ d="m 0,-2.236068 c 0.593012,0 1.161816,0.235606 1.581139,0.654929 C 2.000462,-1.161816 2.236068,-0.593012 2.236068,0 c 0,0.593012 -0.235606,1.161816 -0.654929,1.581139 C 1.161816,2.000462 0.593012,2.236068 0,2.236068 c -0.593012,0 -1.161816,-0.235606 -1.581139,-0.654929 C -2.000462,1.161816 -2.236068,0.593012 -2.236068,0 c 0,-0.593012 0.235606,-1.161816 0.654929,-1.581139 C -1.161816,-2.000462 -0.593012,-2.236068 0,-2.236068 Z" />
+ </g>
+ </g>
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ transform="translate(12.934516,-4.3725682)"
+ id="g24042">
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ id="g24044">
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ clip-path="url(#clipPath24050-5)"
+ id="g24046">
+ <path
+ inkscape:connector-curvature="0"
+ id="path24052"
+ style="fill:#ffca00;fill-opacity:1;fill-rule:nonzero;stroke:none;stroke-width:1.13305926;stroke-linecap:butt;stroke-linejoin:round;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ d="m 0,-2.236068 c 0.593012,0 1.161816,0.235606 1.581139,0.654929 C 2.000462,-1.161816 2.236068,-0.593012 2.236068,0 c 0,0.593012 -0.235606,1.161816 -0.654929,1.581139 C 1.161816,2.000462 0.593012,2.236068 0,2.236068 c -0.593012,0 -1.161816,-0.235606 -1.581139,-0.654929 C -2.000462,1.161816 -2.236068,0.593012 -2.236068,0 c 0,-0.593012 0.235606,-1.161816 0.654929,-1.581139 C -1.161816,-2.000462 -0.593012,-2.236068 0,-2.236068 Z" />
+ </g>
+ </g>
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ transform="translate(-38.803548,-0.0578724)"
+ id="g24054">
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ id="g24056">
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ clip-path="url(#clipPath24062-6)"
+ id="g24058">
+ <path
+ inkscape:connector-curvature="0"
+ id="path24064"
+ style="fill:#ffca00;fill-opacity:1;fill-rule:nonzero;stroke:none;stroke-width:1.13305926;stroke-linecap:butt;stroke-linejoin:round;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ d="m 0,-2.236068 c 0.593012,0 1.161816,0.235606 1.581139,0.654929 C 2.000462,-1.161816 2.236068,-0.593012 2.236068,0 c 0,0.593012 -0.235606,1.161816 -0.654929,1.581139 C 1.161816,2.000462 0.593012,2.236068 0,2.236068 c -0.593012,0 -1.161816,-0.235606 -1.581139,-0.654929 C -2.000462,1.161816 -2.236068,0.593012 -2.236068,0 c 0,-0.593012 0.235606,-1.161816 0.654929,-1.581139 C -1.161816,-2.000462 -0.593012,-2.236068 0,-2.236068 Z" />
+ </g>
+ </g>
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ transform="translate(-8.6230106,19.369583)"
+ id="g24066">
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ id="g24068">
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ clip-path="url(#clipPath24074-6)"
+ id="g24070">
+ <path
+ inkscape:connector-curvature="0"
+ id="path24076"
+ style="fill:#ffca00;fill-opacity:1;fill-rule:nonzero;stroke:none;stroke-width:1.13305926;stroke-linecap:butt;stroke-linejoin:round;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ d="m 0,-2.236068 c 0.593012,0 1.161816,0.235606 1.581139,0.654929 C 2.000462,-1.161816 2.236068,-0.593012 2.236068,0 c 0,0.593012 -0.235606,1.161816 -0.654929,1.581139 C 1.161816,2.000462 0.593012,2.236068 0,2.236068 c -0.593012,0 -1.161816,-0.235606 -1.581139,-0.654929 C -2.000462,1.161816 -2.236068,0.593012 -2.236068,0 c 0,-0.593012 0.235606,-1.161816 0.654929,-1.581139 C -1.161816,-2.000462 -0.593012,-2.236068 0,-2.236068 Z" />
+ </g>
+ </g>
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ transform="translate(73.29559,-19.322976)"
+ id="g24078">
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ id="g24080">
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ clip-path="url(#clipPath24086-5)"
+ id="g24082">
+ <path
+ inkscape:connector-curvature="0"
+ id="path24088"
+ style="fill:#ffca00;fill-opacity:1;fill-rule:nonzero;stroke:none;stroke-width:1.13305926;stroke-linecap:butt;stroke-linejoin:round;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ d="m 0,-2.236068 c 0.593012,0 1.161816,0.235606 1.581139,0.654929 C 2.000462,-1.161816 2.236068,-0.593012 2.236068,0 c 0,0.593012 -0.235606,1.161816 -0.654929,1.581139 C 1.161816,2.000462 0.593012,2.236068 0,2.236068 c -0.593012,0 -1.161816,-0.235606 -1.581139,-0.654929 C -2.000462,1.161816 -2.236068,0.593012 -2.236068,0 c 0,-0.593012 0.235606,-1.161816 0.654929,-1.581139 C -1.161816,-2.000462 -0.593012,-2.236068 0,-2.236068 Z" />
+ </g>
+ </g>
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ transform="translate(6.467258,-0.56263544)"
+ id="g24090">
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ id="g24092">
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ clip-path="url(#clipPath24098-6)"
+ id="g24094">
+ <path
+ inkscape:connector-curvature="0"
+ id="path24100"
+ style="fill:#ffca00;fill-opacity:1;fill-rule:nonzero;stroke:none;stroke-width:1.13305926;stroke-linecap:butt;stroke-linejoin:round;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ d="m 0,-2.236068 c 0.593012,0 1.161816,0.235606 1.581139,0.654929 C 2.000462,-1.161816 2.236068,-0.593012 2.236068,0 c 0,0.593012 -0.235606,1.161816 -0.654929,1.581139 C 1.161816,2.000462 0.593012,2.236068 0,2.236068 c -0.593012,0 -1.161816,-0.235606 -1.581139,-0.654929 C -2.000462,1.161816 -2.236068,0.593012 -2.236068,0 c 0,-0.593012 0.235606,-1.161816 0.654929,-1.581139 C -1.161816,-2.000462 -0.593012,-2.236068 0,-2.236068 Z" />
+ </g>
+ </g>
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ transform="translate(-6.467258,5.4351826)"
+ id="g24102">
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ id="g24104">
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ clip-path="url(#clipPath24110-8)"
+ id="g24106">
+ <path
+ inkscape:connector-curvature="0"
+ id="path24112"
+ style="fill:#ffca00;fill-opacity:1;fill-rule:nonzero;stroke:none;stroke-width:1.13305926;stroke-linecap:butt;stroke-linejoin:round;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ d="m 0,-2.236068 c 0.593012,0 1.161816,0.235606 1.581139,0.654929 C 2.000462,-1.161816 2.236068,-0.593012 2.236068,0 c 0,0.593012 -0.235606,1.161816 -0.654929,1.581139 C 1.161816,2.000462 0.593012,2.236068 0,2.236068 c -0.593012,0 -1.161816,-0.235606 -1.581139,-0.654929 C -2.000462,1.161816 -2.236068,0.593012 -2.236068,0 c 0,-0.593012 0.235606,-1.161816 0.654929,-1.581139 C -1.161816,-2.000462 -0.593012,-2.236068 0,-2.236068 Z" />
+ </g>
+ </g>
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ transform="translate(-68.984085,34.096487)"
+ id="g24114">
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ id="g24116">
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ clip-path="url(#clipPath24122-7)"
+ id="g24118">
+ <path
+ inkscape:connector-curvature="0"
+ id="path24124"
+ style="fill:#ffca00;fill-opacity:1;fill-rule:nonzero;stroke:none;stroke-width:1.13305926;stroke-linecap:butt;stroke-linejoin:round;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ d="m 0,-2.236068 c 0.593012,0 1.161816,0.235606 1.581139,0.654929 C 2.000462,-1.161816 2.236068,-0.593012 2.236068,0 c 0,0.593012 -0.235606,1.161816 -0.654929,1.581139 C 1.161816,2.000462 0.593012,2.236068 0,2.236068 c -0.593012,0 -1.161816,-0.235606 -1.581139,-0.654929 C -2.000462,1.161816 -2.236068,0.593012 -2.236068,0 c 0,-0.593012 0.235606,-1.161816 0.654929,-1.581139 C -1.161816,-2.000462 -0.593012,-2.236068 0,-2.236068 Z" />
+ </g>
+ </g>
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ transform="translate(-25.869032,-34.766842)"
+ id="g24126">
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ id="g24128">
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ clip-path="url(#clipPath24134-4)"
+ id="g24130" />
+ </g>
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ transform="translate(73.29559,-3.1974499)"
+ id="g24138">
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ id="g24140">
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ clip-path="url(#clipPath24146-6)"
+ id="g24142">
+ <path
+ inkscape:connector-curvature="0"
+ id="path24148"
+ style="fill:#ffca00;fill-opacity:1;fill-rule:nonzero;stroke:none;stroke-width:1.13305926;stroke-linecap:butt;stroke-linejoin:round;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ d="m 0,-2.236068 c 0.593012,0 1.161816,0.235606 1.581139,0.654929 C 2.000462,-1.161816 2.236068,-0.593012 2.236068,0 c 0,0.593012 -0.235606,1.161816 -0.654929,1.581139 C 1.161816,2.000462 0.593012,2.236068 0,2.236068 c -0.593012,0 -1.161816,-0.235606 -1.581139,-0.654929 C -2.000462,1.161816 -2.236068,0.593012 -2.236068,0 c 0,-0.593012 0.235606,-1.161816 0.654929,-1.581139 C -1.161816,-2.000462 -0.593012,-2.236068 0,-2.236068 Z" />
+ </g>
+ </g>
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ transform="translate(60.361074,16.225182)"
+ id="g24150">
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ id="g24152">
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ clip-path="url(#clipPath24158-9)"
+ id="g24154">
+ <path
+ inkscape:connector-curvature="0"
+ id="path24160"
+ style="fill:#ffca00;fill-opacity:1;fill-rule:nonzero;stroke:none;stroke-width:1.13305926;stroke-linecap:butt;stroke-linejoin:round;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ d="m 0,-2.236068 c 0.593012,0 1.161816,0.235606 1.581139,0.654929 C 2.000462,-1.161816 2.236068,-0.593012 2.236068,0 c 0,0.593012 -0.235606,1.161816 -0.654929,1.581139 C 1.161816,2.000462 0.593012,2.236068 0,2.236068 c -0.593012,0 -1.161816,-0.235606 -1.581139,-0.654929 C -2.000462,1.161816 -2.236068,0.593012 -2.236068,0 c 0,-0.593012 0.235606,-1.161816 0.654929,-1.581139 C -1.161816,-2.000462 -0.593012,-2.236068 0,-2.236068 Z" />
+ </g>
+ </g>
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ transform="translate(-86.230106,-17.479084)"
+ id="g24162">
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ id="g24164">
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ clip-path="url(#clipPath24170-0)"
+ id="g24166">
+ <path
+ inkscape:connector-curvature="0"
+ id="path24172"
+ style="fill:#ffca00;fill-opacity:1;fill-rule:nonzero;stroke:none;stroke-width:1.13305926;stroke-linecap:butt;stroke-linejoin:round;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ d="m 0,-2.236068 c 0.593012,0 1.161816,0.235606 1.581139,0.654929 C 2.000462,-1.161816 2.236068,-0.593012 2.236068,0 c 0,0.593012 -0.235606,1.161816 -0.654929,1.581139 C 1.161816,2.000462 0.593012,2.236068 0,2.236068 c -0.593012,0 -1.161816,-0.235606 -1.581139,-0.654929 C -2.000462,1.161816 -2.236068,0.593012 -2.236068,0 c 0,-0.593012 0.235606,-1.161816 0.654929,-1.581139 C -1.161816,-2.000462 -0.593012,-2.236068 0,-2.236068 Z" />
+ </g>
+ </g>
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ transform="translate(17.246021,4.4513519)"
+ id="g24174">
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ id="g24176">
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ clip-path="url(#clipPath24182-1)"
+ id="g24178">
+ <path
+ inkscape:connector-curvature="0"
+ id="path24184"
+ style="fill:#ffca00;fill-opacity:1;fill-rule:nonzero;stroke:none;stroke-width:1.13305926;stroke-linecap:butt;stroke-linejoin:round;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ d="m 0,-2.236068 c 0.593012,0 1.161816,0.235606 1.581139,0.654929 C 2.000462,-1.161816 2.236068,-0.593012 2.236068,0 c 0,0.593012 -0.235606,1.161816 -0.654929,1.581139 C 1.161816,2.000462 0.593012,2.236068 0,2.236068 c -0.593012,0 -1.161816,-0.235606 -1.581139,-0.654929 C -2.000462,1.161816 -2.236068,0.593012 -2.236068,0 c 0,-0.593012 0.235606,-1.161816 0.654929,-1.581139 C -1.161816,-2.000462 -0.593012,-2.236068 0,-2.236068 Z" />
+ </g>
+ </g>
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ transform="translate(17.246021,-4.2021919)"
+ id="g24186">
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ id="g24188">
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ clip-path="url(#clipPath24194-1)"
+ id="g24190">
+ <path
+ inkscape:connector-curvature="0"
+ id="path24196"
+ style="fill:#ffca00;fill-opacity:1;fill-rule:nonzero;stroke:none;stroke-width:1.13305926;stroke-linecap:butt;stroke-linejoin:round;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ d="m 0,-2.236068 c 0.593012,0 1.161816,0.235606 1.581139,0.654929 C 2.000462,-1.161816 2.236068,-0.593012 2.236068,0 c 0,0.593012 -0.235606,1.161816 -0.654929,1.581139 C 1.161816,2.000462 0.593012,2.236068 0,2.236068 c -0.593012,0 -1.161816,-0.235606 -1.581139,-0.654929 C -2.000462,1.161816 -2.236068,0.593012 -2.236068,0 c 0,-0.593012 0.235606,-1.161816 0.654929,-1.581139 C -1.161816,-2.000462 -0.593012,-2.236068 0,-2.236068 Z" />
+ </g>
+ </g>
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ transform="translate(8.6230106,6.9848897)"
+ id="g24198">
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ id="g24200">
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ clip-path="url(#clipPath24206-0)"
+ id="g24202">
+ <path
+ inkscape:connector-curvature="0"
+ id="path24208"
+ style="fill:#ffca00;fill-opacity:1;fill-rule:nonzero;stroke:none;stroke-width:1.13305926;stroke-linecap:butt;stroke-linejoin:round;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ d="m 0,-2.236068 c 0.593012,0 1.161816,0.235606 1.581139,0.654929 C 2.000462,-1.161816 2.236068,-0.593012 2.236068,0 c 0,0.593012 -0.235606,1.161816 -0.654929,1.581139 C 1.161816,2.000462 0.593012,2.236068 0,2.236068 c -0.593012,0 -1.161816,-0.235606 -1.581139,-0.654929 C -2.000462,1.161816 -2.236068,0.593012 -2.236068,0 c 0,-0.593012 0.235606,-1.161816 0.654929,-1.581139 C -1.161816,-2.000462 -0.593012,-2.236068 0,-2.236068 Z" />
+ </g>
+ </g>
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ transform="translate(-43.115053,-7.243695)"
+ id="g24210">
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ id="g24212">
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ clip-path="url(#clipPath24218-4)"
+ id="g24214">
+ <path
+ inkscape:connector-curvature="0"
+ id="path24220"
+ style="fill:#ffca00;fill-opacity:1;fill-rule:nonzero;stroke:none;stroke-width:1.13305926;stroke-linecap:butt;stroke-linejoin:round;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ d="m 0,-2.236068 c 0.593012,0 1.161816,0.235606 1.581139,0.654929 C 2.000462,-1.161816 2.236068,-0.593012 2.236068,0 c 0,0.593012 -0.235606,1.161816 -0.654929,1.581139 C 1.161816,2.000462 0.593012,2.236068 0,2.236068 c -0.593012,0 -1.161816,-0.235606 -1.581139,-0.654929 C -2.000462,1.161816 -2.236068,0.593012 -2.236068,0 c 0,-0.593012 0.235606,-1.161816 0.654929,-1.581139 C -1.161816,-2.000462 -0.593012,-2.236068 0,-2.236068 Z" />
+ </g>
+ </g>
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ transform="translate(47.426558,1.9483707)"
+ id="g24222">
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ id="g24224">
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ clip-path="url(#clipPath24230-3)"
+ id="g24226">
+ <path
+ inkscape:connector-curvature="0"
+ id="path24232"
+ style="fill:#ffca00;fill-opacity:1;fill-rule:nonzero;stroke:none;stroke-width:1.13305926;stroke-linecap:butt;stroke-linejoin:round;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ d="m 0,-2.236068 c 0.593012,0 1.161816,0.235606 1.581139,0.654929 C 2.000462,-1.161816 2.236068,-0.593012 2.236068,0 c 0,0.593012 -0.235606,1.161816 -0.654929,1.581139 C 1.161816,2.000462 0.593012,2.236068 0,2.236068 c -0.593012,0 -1.161816,-0.235606 -1.581139,-0.654929 C -2.000462,1.161816 -2.236068,0.593012 -2.236068,0 c 0,-0.593012 0.235606,-1.161816 0.654929,-1.581139 C -1.161816,-2.000462 -0.593012,-2.236068 0,-2.236068 Z" />
+ </g>
+ </g>
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ transform="translate(-51.738064,-1.6300725)"
+ id="g24234">
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ id="g24236">
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ clip-path="url(#clipPath24242-1)"
+ id="g24238">
+ <path
+ inkscape:connector-curvature="0"
+ id="path24244"
+ style="fill:#ffca00;fill-opacity:1;fill-rule:nonzero;stroke:none;stroke-width:1.13305926;stroke-linecap:butt;stroke-linejoin:round;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ d="m 0,-2.236068 c 0.593012,0 1.161816,0.235606 1.581139,0.654929 C 2.000462,-1.161816 2.236068,-0.593012 2.236068,0 c 0,0.593012 -0.235606,1.161816 -0.654929,1.581139 C 1.161816,2.000462 0.593012,2.236068 0,2.236068 c -0.593012,0 -1.161816,-0.235606 -1.581139,-0.654929 C -2.000462,1.161816 -2.236068,0.593012 -2.236068,0 c 0,-0.593012 0.235606,-1.161816 0.654929,-1.581139 C -1.161816,-2.000462 -0.593012,-2.236068 0,-2.236068 Z" />
+ </g>
+ </g>
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ transform="translate(25.869032,-0.41475218)"
+ id="g24246">
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ id="g24248">
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ clip-path="url(#clipPath24254-6)"
+ id="g24250">
+ <path
+ inkscape:connector-curvature="0"
+ id="path24256"
+ style="fill:#ffca00;fill-opacity:1;fill-rule:nonzero;stroke:none;stroke-width:1.13305926;stroke-linecap:butt;stroke-linejoin:round;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ d="m 0,-2.236068 c 0.593012,0 1.161816,0.235606 1.581139,0.654929 C 2.000462,-1.161816 2.236068,-0.593012 2.236068,0 c 0,0.593012 -0.235606,1.161816 -0.654929,1.581139 C 1.161816,2.000462 0.593012,2.236068 0,2.236068 c -0.593012,0 -1.161816,-0.235606 -1.581139,-0.654929 C -2.000462,1.161816 -2.236068,0.593012 -2.236068,0 c 0,-0.593012 0.235606,-1.161816 0.654929,-1.581139 C -1.161816,-2.000462 -0.593012,-2.236068 0,-2.236068 Z" />
+ </g>
+ </g>
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ transform="translate(116.41064,17.318315)"
+ id="g24258">
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ id="g24260">
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ clip-path="url(#clipPath24266-3)"
+ id="g24262" />
+ </g>
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ transform="translate(-81.918601,0.0530497)"
+ id="g24270">
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ id="g24272">
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ clip-path="url(#clipPath24278-8)"
+ id="g24274">
+ <path
+ inkscape:connector-curvature="0"
+ id="path24280"
+ style="fill:#ffca00;fill-opacity:1;fill-rule:nonzero;stroke:none;stroke-width:1.13305926;stroke-linecap:butt;stroke-linejoin:round;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ d="m 0,-2.236068 c 0.593012,0 1.161816,0.235606 1.581139,0.654929 C 2.000462,-1.161816 2.236068,-0.593012 2.236068,0 c 0,0.593012 -0.235606,1.161816 -0.654929,1.581139 C 1.161816,2.000462 0.593012,2.236068 0,2.236068 c -0.593012,0 -1.161816,-0.235606 -1.581139,-0.654929 C -2.000462,1.161816 -2.236068,0.593012 -2.236068,0 c 0,-0.593012 0.235606,-1.161816 0.654929,-1.581139 C -1.161816,-2.000462 -0.593012,-2.236068 0,-2.236068 Z" />
+ </g>
+ </g>
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ transform="translate(-90.541612,-8.4606358)"
+ id="g24282">
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ id="g24284">
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ clip-path="url(#clipPath24290-5)"
+ id="g24286" />
+ </g>
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ transform="translate(120.72215,-6.5861874)"
+ id="g24294">
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ id="g24296">
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ clip-path="url(#clipPath24302-6)"
+ id="g24298">
+ <path
+ inkscape:connector-curvature="0"
+ id="path24304"
+ style="fill:#ffca00;fill-opacity:1;fill-rule:nonzero;stroke:none;stroke-width:1.13305926;stroke-linecap:butt;stroke-linejoin:round;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ d="m 0,-2.236068 c 0.593012,0 1.161816,0.235606 1.581139,0.654929 C 2.000462,-1.161816 2.236068,-0.593012 2.236068,0 c 0,0.593012 -0.235606,1.161816 -0.654929,1.581139 C 1.161816,2.000462 0.593012,2.236068 0,2.236068 c -0.593012,0 -1.161816,-0.235606 -1.581139,-0.654929 C -2.000462,1.161816 -2.236068,0.593012 -2.236068,0 c 0,-0.593012 0.235606,-1.161816 0.654929,-1.581139 C -1.161816,-2.000462 -0.593012,-2.236068 0,-2.236068 Z" />
+ </g>
+ </g>
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ transform="translate(-81.918601,-1.9692819)"
+ id="g24306">
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ id="g24308">
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ clip-path="url(#clipPath24314-0)"
+ id="g24310">
+ <path
+ inkscape:connector-curvature="0"
+ id="path24316"
+ style="fill:#ffca00;fill-opacity:1;fill-rule:nonzero;stroke:none;stroke-width:1.13305926;stroke-linecap:butt;stroke-linejoin:round;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ d="m 0,-2.236068 c 0.593012,0 1.161816,0.235606 1.581139,0.654929 C 2.000462,-1.161816 2.236068,-0.593012 2.236068,0 c 0,0.593012 -0.235606,1.161816 -0.654929,1.581139 C 1.161816,2.000462 0.593012,2.236068 0,2.236068 c -0.593012,0 -1.161816,-0.235606 -1.581139,-0.654929 C -2.000462,1.161816 -2.236068,0.593012 -2.236068,0 c 0,-0.593012 0.235606,-1.161816 0.654929,-1.581139 C -1.161816,-2.000462 -0.593012,-2.236068 0,-2.236068 Z" />
+ </g>
+ </g>
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ transform="translate(-4.3115053,-0.29738696)"
+ id="g24318">
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ id="g24320">
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ clip-path="url(#clipPath24326-4)"
+ id="g24322">
+ <path
+ inkscape:connector-curvature="0"
+ id="path24328"
+ style="fill:#ffca00;fill-opacity:1;fill-rule:nonzero;stroke:none;stroke-width:1.13305926;stroke-linecap:butt;stroke-linejoin:round;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ d="m 0,-2.236068 c 0.593012,0 1.161816,0.235606 1.581139,0.654929 C 2.000462,-1.161816 2.236068,-0.593012 2.236068,0 c 0,0.593012 -0.235606,1.161816 -0.654929,1.581139 C 1.161816,2.000462 0.593012,2.236068 0,2.236068 c -0.593012,0 -1.161816,-0.235606 -1.581139,-0.654929 C -2.000462,1.161816 -2.236068,0.593012 -2.236068,0 c 0,-0.593012 0.235606,-1.161816 0.654929,-1.581139 C -1.161816,-2.000462 -0.593012,-2.236068 0,-2.236068 Z" />
+ </g>
+ </g>
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ transform="translate(-25.869032,30.624143)"
+ id="g24330">
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ id="g24332">
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ clip-path="url(#clipPath24338-2)"
+ id="g24334">
+ <path
+ inkscape:connector-curvature="0"
+ id="path24340"
+ style="fill:#ffca00;fill-opacity:1;fill-rule:nonzero;stroke:none;stroke-width:1.13305926;stroke-linecap:butt;stroke-linejoin:round;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ d="m 0,-2.236068 c 0.593012,0 1.161816,0.235606 1.581139,0.654929 C 2.000462,-1.161816 2.236068,-0.593012 2.236068,0 c 0,0.593012 -0.235606,1.161816 -0.654929,1.581139 C 1.161816,2.000462 0.593012,2.236068 0,2.236068 c -0.593012,0 -1.161816,-0.235606 -1.581139,-0.654929 C -2.000462,1.161816 -2.236068,0.593012 -2.236068,0 c 0,-0.593012 0.235606,-1.161816 0.654929,-1.581139 C -1.161816,-2.000462 -0.593012,-2.236068 0,-2.236068 Z" />
+ </g>
+ </g>
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ transform="translate(-34.492042,-22.136192)"
+ id="g24342">
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ id="g24344">
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ clip-path="url(#clipPath24350-7)"
+ id="g24346" />
+ </g>
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ transform="translate(0,-1.1092209)"
+ id="g24354">
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ id="g24356">
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ clip-path="url(#clipPath24362-6)"
+ id="g24358" />
+ </g>
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ transform="translate(103.47613,1.6397179)"
+ id="g24366">
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ id="g24368">
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ clip-path="url(#clipPath24374-8)"
+ id="g24370">
+ <path
+ inkscape:connector-curvature="0"
+ id="path24376"
+ style="fill:#ffca00;fill-opacity:1;fill-rule:nonzero;stroke:none;stroke-width:1.13305926;stroke-linecap:butt;stroke-linejoin:round;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ d="m 0,-2.236068 c 0.593012,0 1.161816,0.235606 1.581139,0.654929 C 2.000462,-1.161816 2.236068,-0.593012 2.236068,0 c 0,0.593012 -0.235606,1.161816 -0.654929,1.581139 C 1.161816,2.000462 0.593012,2.236068 0,2.236068 c -0.593012,0 -1.161816,-0.235606 -1.581139,-0.654929 C -2.000462,1.161816 -2.236068,0.593012 -2.236068,0 c 0,-0.593012 0.235606,-1.161816 0.654929,-1.581139 C -1.161816,-2.000462 -0.593012,-2.236068 0,-2.236068 Z" />
+ </g>
+ </g>
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ transform="translate(-120.72215,-1.0031215)"
+ id="g24378">
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ id="g24380">
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ clip-path="url(#clipPath24386-2)"
+ id="g24382" />
+ </g>
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ transform="translate(120.72215,-7.774192)"
+ id="g24390">
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ id="g24392">
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ clip-path="url(#clipPath24398-2)"
+ id="g24394">
+ <path
+ inkscape:connector-curvature="0"
+ id="path24400"
+ style="fill:#ffca00;fill-opacity:1;fill-rule:nonzero;stroke:none;stroke-width:1.13305926;stroke-linecap:butt;stroke-linejoin:round;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ d="m 0,-2.236068 c 0.593012,0 1.161816,0.235606 1.581139,0.654929 C 2.000462,-1.161816 2.236068,-0.593012 2.236068,0 c 0,0.593012 -0.235606,1.161816 -0.654929,1.581139 C 1.161816,2.000462 0.593012,2.236068 0,2.236068 c -0.593012,0 -1.161816,-0.235606 -1.581139,-0.654929 C -2.000462,1.161816 -2.236068,0.593012 -2.236068,0 c 0,-0.593012 0.235606,-1.161816 0.654929,-1.581139 C -1.161816,-2.000462 -0.593012,-2.236068 0,-2.236068 Z" />
+ </g>
+ </g>
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ transform="translate(-30.180537,7.0411416)"
+ id="g24402">
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ id="g24404">
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ clip-path="url(#clipPath24410-9)"
+ id="g24406">
+ <path
+ inkscape:connector-curvature="0"
+ id="path24412"
+ style="fill:#ffca00;fill-opacity:1;fill-rule:nonzero;stroke:none;stroke-width:1.13305926;stroke-linecap:butt;stroke-linejoin:round;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ d="m 0,-2.236068 c 0.593012,0 1.161816,0.235606 1.581139,0.654929 C 2.000462,-1.161816 2.236068,-0.593012 2.236068,0 c 0,0.593012 -0.235606,1.161816 -0.654929,1.581139 C 1.161816,2.000462 0.593012,2.236068 0,2.236068 c -0.593012,0 -1.161816,-0.235606 -1.581139,-0.654929 C -2.000462,1.161816 -2.236068,0.593012 -2.236068,0 c 0,-0.593012 0.235606,-1.161816 0.654929,-1.581139 C -1.161816,-2.000462 -0.593012,-2.236068 0,-2.236068 Z" />
+ </g>
+ </g>
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ transform="translate(21.557527,26.042579)"
+ id="g24414">
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ id="g24416">
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ clip-path="url(#clipPath24422-0)"
+ id="g24418">
+ <path
+ inkscape:connector-curvature="0"
+ id="path24424"
+ style="fill:#ffca00;fill-opacity:1;fill-rule:nonzero;stroke:none;stroke-width:1.13305926;stroke-linecap:butt;stroke-linejoin:round;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ d="m 0,-2.236068 c 0.593012,0 1.161816,0.235606 1.581139,0.654929 C 2.000462,-1.161816 2.236068,-0.593012 2.236068,0 c 0,0.593012 -0.235606,1.161816 -0.654929,1.581139 C 1.161816,2.000462 0.593012,2.236068 0,2.236068 c -0.593012,0 -1.161816,-0.235606 -1.581139,-0.654929 C -2.000462,1.161816 -2.236068,0.593012 -2.236068,0 c 0,-0.593012 0.235606,-1.161816 0.654929,-1.581139 C -1.161816,-2.000462 -0.593012,-2.236068 0,-2.236068 Z" />
+ </g>
+ </g>
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ transform="translate(-8.6230106,-17.901861)"
+ id="g24426">
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ id="g24428">
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ clip-path="url(#clipPath24434-7)"
+ id="g24430">
+ <path
+ inkscape:connector-curvature="0"
+ id="path24436"
+ style="fill:#ffca00;fill-opacity:1;fill-rule:nonzero;stroke:none;stroke-width:1.13305926;stroke-linecap:butt;stroke-linejoin:round;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ d="m 0,-2.236068 c 0.593012,0 1.161816,0.235606 1.581139,0.654929 C 2.000462,-1.161816 2.236068,-0.593012 2.236068,0 c 0,0.593012 -0.235606,1.161816 -0.654929,1.581139 C 1.161816,2.000462 0.593012,2.236068 0,2.236068 c -0.593012,0 -1.161816,-0.235606 -1.581139,-0.654929 C -2.000462,1.161816 -2.236068,0.593012 -2.236068,0 c 0,-0.593012 0.235606,-1.161816 0.654929,-1.581139 C -1.161816,-2.000462 -0.593012,-2.236068 0,-2.236068 Z" />
+ </g>
+ </g>
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ transform="translate(-43.115053,-15.164188)"
+ id="g24438">
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ id="g24440">
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ clip-path="url(#clipPath24446-1)"
+ id="g24442">
+ <path
+ inkscape:connector-curvature="0"
+ id="path24448"
+ style="fill:#ffca00;fill-opacity:1;fill-rule:nonzero;stroke:none;stroke-width:1.13305926;stroke-linecap:butt;stroke-linejoin:round;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ d="m 0,-2.236068 c 0.593012,0 1.161816,0.235606 1.581139,0.654929 C 2.000462,-1.161816 2.236068,-0.593012 2.236068,0 c 0,0.593012 -0.235606,1.161816 -0.654929,1.581139 C 1.161816,2.000462 0.593012,2.236068 0,2.236068 c -0.593012,0 -1.161816,-0.235606 -1.581139,-0.654929 C -2.000462,1.161816 -2.236068,0.593012 -2.236068,0 c 0,-0.593012 0.235606,-1.161816 0.654929,-1.581139 C -1.161816,-2.000462 -0.593012,-2.236068 0,-2.236068 Z" />
+ </g>
+ </g>
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ transform="translate(-73.640511,55.462667)"
+ id="g24450">
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ id="g24452">
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ clip-path="url(#clipPath24458-2)"
+ id="g24454" />
+ </g>
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ transform="translate(99.509543,42.999191)"
+ id="g24462">
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ id="g24464">
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ clip-path="url(#clipPath24470-5)"
+ id="g24466">
+ <path
+ inkscape:connector-curvature="0"
+ id="path24472"
+ style="fill:#ffca00;fill-opacity:1;fill-rule:nonzero;stroke:none;stroke-width:1.13305926;stroke-linecap:butt;stroke-linejoin:round;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ d="m 0,-2.236068 c 0.593012,0 1.161816,0.235606 1.581139,0.654929 C 2.000462,-1.161816 2.236068,-0.593012 2.236068,0 c 0,0.593012 -0.235606,1.161816 -0.654929,1.581139 C 1.161816,2.000462 0.593012,2.236068 0,2.236068 c -0.593012,0 -1.161816,-0.235606 -1.581139,-0.654929 C -2.000462,1.161816 -2.236068,0.593012 -2.236068,0 c 0,-0.593012 0.235606,-1.161816 0.654929,-1.581139 C -1.161816,-2.000462 -0.593012,-2.236068 0,-2.236068 Z" />
+ </g>
+ </g>
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ transform="translate(159.5257,-99.063075)"
+ id="g24474">
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ id="g24476">
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ clip-path="url(#clipPath24482-9)"
+ id="g24478" />
+ </g>
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ transform="translate(-159.5257,93.090953)"
+ id="g24486">
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ id="g24488">
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ clip-path="url(#clipPath24494-4)"
+ id="g24490">
+ <path
+ inkscape:connector-curvature="0"
+ id="path24496"
+ style="fill:#ffca00;fill-opacity:1;fill-rule:nonzero;stroke:none;stroke-width:1.13305926;stroke-linecap:butt;stroke-linejoin:round;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ d="m 0,-2.236068 c 0.593012,0 1.161816,0.235606 1.581139,0.654929 C 2.000462,-1.161816 2.236068,-0.593012 2.236068,0 c 0,0.593012 -0.235606,1.161816 -0.654929,1.581139 C 1.161816,2.000462 0.593012,2.236068 0,2.236068 c -0.593012,0 -1.161816,-0.235606 -1.581139,-0.654929 C -2.000462,1.161816 -2.236068,0.593012 -2.236068,0 c 0,-0.593012 0.235606,-1.161816 0.654929,-1.581139 C -1.161816,-2.000462 -0.593012,-2.236068 0,-2.236068 Z" />
+ </g>
+ </g>
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ transform="translate(86.230106,-89.285843)"
+ id="g24498">
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ id="g24500">
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ clip-path="url(#clipPath24506-1)"
+ id="g24502">
+ <path
+ inkscape:connector-curvature="0"
+ id="path24508"
+ style="fill:#ffca00;fill-opacity:1;fill-rule:nonzero;stroke:none;stroke-width:1.13305926;stroke-linecap:butt;stroke-linejoin:round;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ d="m 0,-2.236068 c 0.593012,0 1.161816,0.235606 1.581139,0.654929 C 2.000462,-1.161816 2.236068,-0.593012 2.236068,0 c 0,0.593012 -0.235606,1.161816 -0.654929,1.581139 C 1.161816,2.000462 0.593012,2.236068 0,2.236068 c -0.593012,0 -1.161816,-0.235606 -1.581139,-0.654929 C -2.000462,1.161816 -2.236068,0.593012 -2.236068,0 c 0,-0.593012 0.235606,-1.161816 0.654929,-1.581139 C -1.161816,-2.000462 -0.593012,-2.236068 0,-2.236068 Z" />
+ </g>
+ </g>
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ transform="translate(-17.246021,5.7486581)"
+ id="g24510">
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ id="g24512">
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ clip-path="url(#clipPath24518-7)"
+ id="g24514">
+ <path
+ inkscape:connector-curvature="0"
+ id="path24520"
+ style="fill:#ffca00;fill-opacity:1;fill-rule:nonzero;stroke:none;stroke-width:1.13305926;stroke-linecap:butt;stroke-linejoin:round;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ d="m 0,-2.236068 c 0.593012,0 1.161816,0.235606 1.581139,0.654929 C 2.000462,-1.161816 2.236068,-0.593012 2.236068,0 c 0,0.593012 -0.235606,1.161816 -0.654929,1.581139 C 1.161816,2.000462 0.593012,2.236068 0,2.236068 c -0.593012,0 -1.161816,-0.235606 -1.581139,-0.654929 C -2.000462,1.161816 -2.236068,0.593012 -2.236068,0 c 0,-0.593012 0.235606,-1.161816 0.654929,-1.581139 C -1.161816,-2.000462 -0.593012,-2.236068 0,-2.236068 Z" />
+ </g>
+ </g>
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ transform="translate(43.115053,9.6068179)"
+ id="g24522">
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ id="g24524">
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ clip-path="url(#clipPath24530-8)"
+ id="g24526">
+ <path
+ inkscape:connector-curvature="0"
+ id="path24532"
+ style="fill:#ffca00;fill-opacity:1;fill-rule:nonzero;stroke:none;stroke-width:1.13305926;stroke-linecap:butt;stroke-linejoin:round;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ d="m 0,-2.236068 c 0.593012,0 1.161816,0.235606 1.581139,0.654929 C 2.000462,-1.161816 2.236068,-0.593012 2.236068,0 c 0,0.593012 -0.235606,1.161816 -0.654929,1.581139 C 1.161816,2.000462 0.593012,2.236068 0,2.236068 c -0.593012,0 -1.161816,-0.235606 -1.581139,-0.654929 C -2.000462,1.161816 -2.236068,0.593012 -2.236068,0 c 0,-0.593012 0.235606,-1.161816 0.654929,-1.581139 C -1.161816,-2.000462 -0.593012,-2.236068 0,-2.236068 Z" />
+ </g>
+ </g>
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ transform="translate(-94.853117,-17.901861)"
+ id="g24534">
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ id="g24536">
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ clip-path="url(#clipPath24542-0)"
+ id="g24538">
+ <path
+ inkscape:connector-curvature="0"
+ id="path24544"
+ style="fill:#ffca00;fill-opacity:1;fill-rule:nonzero;stroke:none;stroke-width:1.13305926;stroke-linecap:butt;stroke-linejoin:round;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ d="m 0,-2.236068 c 0.593012,0 1.161816,0.235606 1.581139,0.654929 C 2.000462,-1.161816 2.236068,-0.593012 2.236068,0 c 0,0.593012 -0.235606,1.161816 -0.654929,1.581139 C 1.161816,2.000462 0.593012,2.236068 0,2.236068 c -0.593012,0 -1.161816,-0.235606 -1.581139,-0.654929 C -2.000462,1.161816 -2.236068,0.593012 -2.236068,0 c 0,-0.593012 0.235606,-1.161816 0.654929,-1.581139 C -1.161816,-2.000462 -0.593012,-2.236068 0,-2.236068 Z" />
+ </g>
+ </g>
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ transform="translate(56.049569,11.64682)"
+ id="g24546">
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ id="g24548">
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ clip-path="url(#clipPath24554-8)"
+ id="g24550">
+ <path
+ inkscape:connector-curvature="0"
+ id="path24556"
+ style="fill:#ffca00;fill-opacity:1;fill-rule:nonzero;stroke:none;stroke-width:1.13305926;stroke-linecap:butt;stroke-linejoin:round;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ d="m 0,-2.236068 c 0.593012,0 1.161816,0.235606 1.581139,0.654929 C 2.000462,-1.161816 2.236068,-0.593012 2.236068,0 c 0,0.593012 -0.235606,1.161816 -0.654929,1.581139 C 1.161816,2.000462 0.593012,2.236068 0,2.236068 c -0.593012,0 -1.161816,-0.235606 -1.581139,-0.654929 C -2.000462,1.161816 -2.236068,0.593012 -2.236068,0 c 0,-0.593012 0.235606,-1.161816 0.654929,-1.581139 C -1.161816,-2.000462 -0.593012,-2.236068 0,-2.236068 Z" />
+ </g>
+ </g>
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ transform="translate(-155.21419,-10.499017)"
+ id="g24558">
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ id="g24560">
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ clip-path="url(#clipPath24566-4)"
+ id="g24562" />
+ </g>
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ transform="translate(90.541612,-1.7699308)"
+ id="g24570">
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ id="g24572">
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ clip-path="url(#clipPath24578-9)"
+ id="g24574">
+ <path
+ inkscape:connector-curvature="0"
+ id="path24580"
+ style="fill:#ffca00;fill-opacity:1;fill-rule:nonzero;stroke:none;stroke-width:1.13305926;stroke-linecap:butt;stroke-linejoin:round;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ d="m 0,-2.236068 c 0.593012,0 1.161816,0.235606 1.581139,0.654929 C 2.000462,-1.161816 2.236068,-0.593012 2.236068,0 c 0,0.593012 -0.235606,1.161816 -0.654929,1.581139 C 1.161816,2.000462 0.593012,2.236068 0,2.236068 c -0.593012,0 -1.161816,-0.235606 -1.581139,-0.654929 C -2.000462,1.161816 -2.236068,0.593012 -2.236068,0 c 0,-0.593012 0.235606,-1.161816 0.654929,-1.581139 C -1.161816,-2.000462 -0.593012,-2.236068 0,-2.236068 Z" />
+ </g>
+ </g>
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ transform="translate(12.934516,6.9880919)"
+ id="g24582">
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ id="g24584">
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ clip-path="url(#clipPath24590-1)"
+ id="g24586">
+ <path
+ inkscape:connector-curvature="0"
+ id="path24592"
+ style="fill:#ffca00;fill-opacity:1;fill-rule:nonzero;stroke:none;stroke-width:1.13305926;stroke-linecap:butt;stroke-linejoin:round;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ d="m 0,-2.236068 c 0.593012,0 1.161816,0.235606 1.581139,0.654929 C 2.000462,-1.161816 2.236068,-0.593012 2.236068,0 c 0,0.593012 -0.235606,1.161816 -0.654929,1.581139 C 1.161816,2.000462 0.593012,2.236068 0,2.236068 c -0.593012,0 -1.161816,-0.235606 -1.581139,-0.654929 C -2.000462,1.161816 -2.236068,0.593012 -2.236068,0 c 0,-0.593012 0.235606,-1.161816 0.654929,-1.581139 C -1.161816,-2.000462 -0.593012,-2.236068 0,-2.236068 Z" />
+ </g>
+ </g>
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ transform="translate(-47.426558,-1.1574479)"
+ id="g24594">
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ id="g24596">
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ clip-path="url(#clipPath24602-4)"
+ id="g24598">
+ <path
+ inkscape:connector-curvature="0"
+ id="path24604"
+ style="fill:#ffca00;fill-opacity:1;fill-rule:nonzero;stroke:none;stroke-width:1.13305926;stroke-linecap:butt;stroke-linejoin:round;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ d="m 0,-2.236068 c 0.593012,0 1.161816,0.235606 1.581139,0.654929 C 2.000462,-1.161816 2.236068,-0.593012 2.236068,0 c 0,0.593012 -0.235606,1.161816 -0.654929,1.581139 C 1.161816,2.000462 0.593012,2.236068 0,2.236068 c -0.593012,0 -1.161816,-0.235606 -1.581139,-0.654929 C -2.000462,1.161816 -2.236068,0.593012 -2.236068,0 c 0,-0.593012 0.235606,-1.161816 0.654929,-1.581139 C -1.161816,-2.000462 -0.593012,-2.236068 0,-2.236068 Z" />
+ </g>
+ </g>
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ transform="translate(4.3115053,92.595835)"
+ id="g24606">
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ id="g24608">
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ clip-path="url(#clipPath24614-2)"
+ id="g24610">
+ <path
+ inkscape:connector-curvature="0"
+ id="path24616"
+ style="fill:#ffca00;fill-opacity:1;fill-rule:nonzero;stroke:none;stroke-width:1.13305926;stroke-linecap:butt;stroke-linejoin:round;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ d="m 0,-2.236068 c 0.593012,0 1.161816,0.235606 1.581139,0.654929 C 2.000462,-1.161816 2.236068,-0.593012 2.236068,0 c 0,0.593012 -0.235606,1.161816 -0.654929,1.581139 C 1.161816,2.000462 0.593012,2.236068 0,2.236068 c -0.593012,0 -1.161816,-0.235606 -1.581139,-0.654929 C -2.000462,1.161816 -2.236068,0.593012 -2.236068,0 c 0,-0.593012 0.235606,-1.161816 0.654929,-1.581139 C -1.161816,-2.000462 -0.593012,-2.236068 0,-2.236068 Z" />
+ </g>
+ </g>
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ transform="translate(30.180537,-95.257965)"
+ id="g24618">
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ id="g24620">
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ clip-path="url(#clipPath24626-0)"
+ id="g24622">
+ <path
+ inkscape:connector-curvature="0"
+ id="path24628"
+ style="fill:#ffca00;fill-opacity:1;fill-rule:nonzero;stroke:none;stroke-width:1.13305926;stroke-linecap:butt;stroke-linejoin:round;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ d="m 0,-2.236068 c 0.593012,0 1.161816,0.235606 1.581139,0.654929 C 2.000462,-1.161816 2.236068,-0.593012 2.236068,0 c 0,0.593012 -0.235606,1.161816 -0.654929,1.581139 C 1.161816,2.000462 0.593012,2.236068 0,2.236068 c -0.593012,0 -1.161816,-0.235606 -1.581139,-0.654929 C -2.000462,1.161816 -2.236068,0.593012 -2.236068,0 c 0,-0.593012 0.235606,-1.161816 0.654929,-1.581139 C -1.161816,-2.000462 -0.593012,-2.236068 0,-2.236068 Z" />
+ </g>
+ </g>
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ transform="translate(94.853117,-1.1960295)"
+ id="g24630">
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ id="g24632">
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ clip-path="url(#clipPath24638-5)"
+ id="g24634">
+ <path
+ inkscape:connector-curvature="0"
+ id="path24640"
+ style="fill:#ffca00;fill-opacity:1;fill-rule:nonzero;stroke:none;stroke-width:1.13305926;stroke-linecap:butt;stroke-linejoin:round;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ d="m 0,-2.236068 c 0.593012,0 1.161816,0.235606 1.581139,0.654929 C 2.000462,-1.161816 2.236068,-0.593012 2.236068,0 c 0,0.593012 -0.235606,1.161816 -0.654929,1.581139 C 1.161816,2.000462 0.593012,2.236068 0,2.236068 c -0.593012,0 -1.161816,-0.235606 -1.581139,-0.654929 C -2.000462,1.161816 -2.236068,0.593012 -2.236068,0 c 0,-0.593012 0.235606,-1.161816 0.654929,-1.581139 C -1.161816,-2.000462 -0.593012,-2.236068 0,-2.236068 Z" />
+ </g>
+ </g>
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ transform="translate(-103.47613,4.3018482)"
+ id="g24642">
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ id="g24644">
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ clip-path="url(#clipPath24650-9)"
+ id="g24646">
+ <path
+ inkscape:connector-curvature="0"
+ id="path24652"
+ style="fill:#ffca00;fill-opacity:1;fill-rule:nonzero;stroke:none;stroke-width:1.13305926;stroke-linecap:butt;stroke-linejoin:round;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ d="m 0,-2.236068 c 0.593012,0 1.161816,0.235606 1.581139,0.654929 C 2.000462,-1.161816 2.236068,-0.593012 2.236068,0 c 0,0.593012 -0.235606,1.161816 -0.654929,1.581139 C 1.161816,2.000462 0.593012,2.236068 0,2.236068 c -0.593012,0 -1.161816,-0.235606 -1.581139,-0.654929 C -2.000462,1.161816 -2.236068,0.593012 -2.236068,0 c 0,-0.593012 0.235606,-1.161816 0.654929,-1.581139 C -1.161816,-2.000462 -0.593012,-2.236068 0,-2.236068 Z" />
+ </g>
+ </g>
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ transform="translate(-90.541612,0.71375956)"
+ id="g24654">
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ id="g24656">
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ clip-path="url(#clipPath24662-2)"
+ id="g24658" />
+ </g>
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ transform="translate(133.65666,-7.525032)"
+ id="g24666">
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ id="g24668">
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ clip-path="url(#clipPath24674-3)"
+ id="g24670">
+ <path
+ inkscape:connector-curvature="0"
+ id="path24676"
+ style="fill:#ffca00;fill-opacity:1;fill-rule:nonzero;stroke:none;stroke-width:1.13305926;stroke-linecap:butt;stroke-linejoin:round;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ d="m 0,-2.236068 c 0.593012,0 1.161816,0.235606 1.581139,0.654929 C 2.000462,-1.161816 2.236068,-0.593012 2.236068,0 c 0,0.593012 -0.235606,1.161816 -0.654929,1.581139 C 1.161816,2.000462 0.593012,2.236068 0,2.236068 c -0.593012,0 -1.161816,-0.235606 -1.581139,-0.654929 C -2.000462,1.161816 -2.236068,0.593012 -2.236068,0 c 0,-0.593012 0.235606,-1.161816 0.654929,-1.581139 C -1.161816,-2.000462 -0.593012,-2.236068 0,-2.236068 Z" />
+ </g>
+ </g>
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ transform="translate(-30.180537,27.097168)"
+ id="g24678">
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ id="g24680">
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ clip-path="url(#clipPath24686-0)"
+ id="g24682">
+ <path
+ inkscape:connector-curvature="0"
+ id="path24688"
+ style="fill:#ffca00;fill-opacity:1;fill-rule:nonzero;stroke:none;stroke-width:1.13305926;stroke-linecap:butt;stroke-linejoin:round;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ d="m 0,-2.236068 c 0.593012,0 1.161816,0.235606 1.581139,0.654929 C 2.000462,-1.161816 2.236068,-0.593012 2.236068,0 c 0,0.593012 -0.235606,1.161816 -0.654929,1.581139 C 1.161816,2.000462 0.593012,2.236068 0,2.236068 c -0.593012,0 -1.161816,-0.235606 -1.581139,-0.654929 C -2.000462,1.161816 -2.236068,0.593012 -2.236068,0 c 0,-0.593012 0.235606,-1.161816 0.654929,-1.581139 C -1.161816,-2.000462 -0.593012,-2.236068 0,-2.236068 Z" />
+ </g>
+ </g>
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ transform="translate(-8.6230106,-26.54576)"
+ id="g24690">
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ id="g24692">
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ clip-path="url(#clipPath24698-0)"
+ id="g24694">
+ <path
+ inkscape:connector-curvature="0"
+ id="path24700"
+ style="fill:#ffca00;fill-opacity:1;fill-rule:nonzero;stroke:none;stroke-width:1.13305926;stroke-linecap:butt;stroke-linejoin:round;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ d="m 0,-2.236068 c 0.593012,0 1.161816,0.235606 1.581139,0.654929 C 2.000462,-1.161816 2.236068,-0.593012 2.236068,0 c 0,0.593012 -0.235606,1.161816 -0.654929,1.581139 C 1.161816,2.000462 0.593012,2.236068 0,2.236068 c -0.593012,0 -1.161816,-0.235606 -1.581139,-0.654929 C -2.000462,1.161816 -2.236068,0.593012 -2.236068,0 c 0,-0.593012 0.235606,-1.161816 0.654929,-1.581139 C -1.161816,-2.000462 -0.593012,-2.236068 0,-2.236068 Z" />
+ </g>
+ </g>
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ transform="translate(12.934516,1.9580161)"
+ id="g24702">
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ id="g24704">
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ clip-path="url(#clipPath24710-1)"
+ id="g24706">
+ <path
+ inkscape:connector-curvature="0"
+ id="path24712"
+ style="fill:#ffca00;fill-opacity:1;fill-rule:nonzero;stroke:none;stroke-width:1.13305926;stroke-linecap:butt;stroke-linejoin:round;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ d="m 0,-2.236068 c 0.593012,0 1.161816,0.235606 1.581139,0.654929 C 2.000462,-1.161816 2.236068,-0.593012 2.236068,0 c 0,0.593012 -0.235606,1.161816 -0.654929,1.581139 C 1.161816,2.000462 0.593012,2.236068 0,2.236068 c -0.593012,0 -1.161816,-0.235606 -1.581139,-0.654929 C -2.000462,1.161816 -2.236068,0.593012 -2.236068,0 c 0,-0.593012 0.235606,-1.161816 0.654929,-1.581139 C -1.161816,-2.000462 -0.593012,-2.236068 0,-2.236068 Z" />
+ </g>
+ </g>
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ transform="translate(34.492042,5.0156077)"
+ id="g24714">
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ id="g24716">
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ clip-path="url(#clipPath24722-6)"
+ id="g24718">
+ <path
+ inkscape:connector-curvature="0"
+ id="path24724"
+ style="fill:#ffca00;fill-opacity:1;fill-rule:nonzero;stroke:none;stroke-width:1.13305926;stroke-linecap:butt;stroke-linejoin:round;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ d="m 0,-2.236068 c 0.593012,0 1.161816,0.235606 1.581139,0.654929 C 2.000462,-1.161816 2.236068,-0.593012 2.236068,0 c 0,0.593012 -0.235606,1.161816 -0.654929,1.581139 C 1.161816,2.000462 0.593012,2.236068 0,2.236068 c -0.593012,0 -1.161816,-0.235606 -1.581139,-0.654929 C -2.000462,1.161816 -2.236068,0.593012 -2.236068,0 c 0,-0.593012 0.235606,-1.161816 0.654929,-1.581139 C -1.161816,-2.000462 -0.593012,-2.236068 0,-2.236068 Z" />
+ </g>
+ </g>
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ transform="translate(-47.426558,1.5432639)"
+ id="g24726">
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ id="g24728">
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ clip-path="url(#clipPath24734-5)"
+ id="g24730">
+ <path
+ inkscape:connector-curvature="0"
+ id="path24736"
+ style="fill:#ffca00;fill-opacity:1;fill-rule:nonzero;stroke:none;stroke-width:1.13305926;stroke-linecap:butt;stroke-linejoin:round;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ d="m 0,-2.236068 c 0.593012,0 1.161816,0.235606 1.581139,0.654929 C 2.000462,-1.161816 2.236068,-0.593012 2.236068,0 c 0,0.593012 -0.235606,1.161816 -0.654929,1.581139 C 1.161816,2.000462 0.593012,2.236068 0,2.236068 c -0.593012,0 -1.161816,-0.235606 -1.581139,-0.654929 C -2.000462,1.161816 -2.236068,0.593012 -2.236068,0 c 0,-0.593012 0.235606,-1.161816 0.654929,-1.581139 C -1.161816,-2.000462 -0.593012,-2.236068 0,-2.236068 Z" />
+ </g>
+ </g>
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ transform="translate(-4.3115053,20.509322)"
+ id="g24738">
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ id="g24740">
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ clip-path="url(#clipPath24746-4)"
+ id="g24742">
+ <path
+ inkscape:connector-curvature="0"
+ id="path24748"
+ style="fill:#ffca00;fill-opacity:1;fill-rule:nonzero;stroke:none;stroke-width:1.13305926;stroke-linecap:butt;stroke-linejoin:round;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ d="m 0,-2.236068 c 0.593012,0 1.161816,0.235606 1.581139,0.654929 C 2.000462,-1.161816 2.236068,-0.593012 2.236068,0 c 0,0.593012 -0.235606,1.161816 -0.654929,1.581139 C 1.161816,2.000462 0.593012,2.236068 0,2.236068 c -0.593012,0 -1.161816,-0.235606 -1.581139,-0.654929 C -2.000462,1.161816 -2.236068,0.593012 -2.236068,0 c 0,-0.593012 0.235606,-1.161816 0.654929,-1.581139 C -1.161816,-2.000462 -0.593012,-2.236068 0,-2.236068 Z" />
+ </g>
+ </g>
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ transform="translate(25.869032,-10.119606)"
+ id="g24750">
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ id="g24752">
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ clip-path="url(#clipPath24758-9)"
+ id="g24754">
+ <path
+ inkscape:connector-curvature="0"
+ id="path24760"
+ style="fill:#ffca00;fill-opacity:1;fill-rule:nonzero;stroke:none;stroke-width:1.13305926;stroke-linecap:butt;stroke-linejoin:round;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ d="m 0,-2.236068 c 0.593012,0 1.161816,0.235606 1.581139,0.654929 C 2.000462,-1.161816 2.236068,-0.593012 2.236068,0 c 0,0.593012 -0.235606,1.161816 -0.654929,1.581139 C 1.161816,2.000462 0.593012,2.236068 0,2.236068 c -0.593012,0 -1.161816,-0.235606 -1.581139,-0.654929 C -2.000462,1.161816 -2.236068,0.593012 -2.236068,0 c 0,-0.593012 0.235606,-1.161816 0.654929,-1.581139 C -1.161816,-2.000462 -0.593012,-2.236068 0,-2.236068 Z" />
+ </g>
+ </g>
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ transform="translate(68.984085,-11.93298)"
+ id="g24762">
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ id="g24764">
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ clip-path="url(#clipPath24770-6)"
+ id="g24766">
+ <path
+ inkscape:connector-curvature="0"
+ id="path24772"
+ style="fill:#ffca00;fill-opacity:1;fill-rule:nonzero;stroke:none;stroke-width:1.13305926;stroke-linecap:butt;stroke-linejoin:round;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ d="m 0,-2.236068 c 0.593012,0 1.161816,0.235606 1.581139,0.654929 C 2.000462,-1.161816 2.236068,-0.593012 2.236068,0 c 0,0.593012 -0.235606,1.161816 -0.654929,1.581139 C 1.161816,2.000462 0.593012,2.236068 0,2.236068 c -0.593012,0 -1.161816,-0.235606 -1.581139,-0.654929 C -2.000462,1.161816 -2.236068,0.593012 -2.236068,0 c 0,-0.593012 0.235606,-1.161816 0.654929,-1.581139 C -1.161816,-2.000462 -0.593012,-2.236068 0,-2.236068 Z" />
+ </g>
+ </g>
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ transform="translate(56.049569,-4.8226997)"
+ id="g24774">
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ id="g24776">
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ clip-path="url(#clipPath24782-5)"
+ id="g24778" />
+ </g>
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ transform="translate(-241.4443,2.922556)"
+ id="g24786">
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ id="g24788">
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ clip-path="url(#clipPath24794-2)"
+ id="g24790" />
+ </g>
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ transform="translate(159.5257,2.6331941)"
+ id="g24798">
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ id="g24800">
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ clip-path="url(#clipPath24806-4)"
+ id="g24802">
+ <path
+ inkscape:connector-curvature="0"
+ id="path24808"
+ style="fill:#ffca00;fill-opacity:1;fill-rule:nonzero;stroke:none;stroke-width:1.13305926;stroke-linecap:butt;stroke-linejoin:round;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ d="m 0,-2.236068 c 0.593012,0 1.161816,0.235606 1.581139,0.654929 C 2.000462,-1.161816 2.236068,-0.593012 2.236068,0 c 0,0.593012 -0.235606,1.161816 -0.654929,1.581139 C 1.161816,2.000462 0.593012,2.236068 0,2.236068 c -0.593012,0 -1.161816,-0.235606 -1.581139,-0.654929 C -2.000462,1.161816 -2.236068,0.593012 -2.236068,0 c 0,-0.593012 0.235606,-1.161816 0.654929,-1.581139 C -1.161816,-2.000462 -0.593012,-2.236068 0,-2.236068 Z" />
+ </g>
+ </g>
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ transform="translate(-142.27968,-0.63659637)"
+ id="g24810">
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ id="g24812">
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ clip-path="url(#clipPath24818-5)"
+ id="g24814" />
+ </g>
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ transform="translate(64.67258,15.567675)"
+ id="g24822">
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ id="g24824">
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ clip-path="url(#clipPath24830-7)"
+ id="g24826">
+ <path
+ inkscape:connector-curvature="0"
+ id="path24832"
+ style="fill:#ffca00;fill-opacity:1;fill-rule:nonzero;stroke:none;stroke-width:1.13305926;stroke-linecap:butt;stroke-linejoin:round;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ d="m 0,-2.236068 c 0.593012,0 1.161816,0.235606 1.581139,0.654929 C 2.000462,-1.161816 2.236068,-0.593012 2.236068,0 c 0,0.593012 -0.235606,1.161816 -0.654929,1.581139 C 1.161816,2.000462 0.593012,2.236068 0,2.236068 c -0.593012,0 -1.161816,-0.235606 -1.581139,-0.654929 C -2.000462,1.161816 -2.236068,0.593012 -2.236068,0 c 0,-0.593012 0.235606,-1.161816 0.654929,-1.581139 C -1.161816,-2.000462 -0.593012,-2.236068 0,-2.236068 Z" />
+ </g>
+ </g>
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ transform="translate(0,-22.906203)"
+ id="g24834">
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ id="g24836">
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ clip-path="url(#clipPath24842-3)"
+ id="g24838">
+ <path
+ inkscape:connector-curvature="0"
+ id="path24844"
+ style="fill:#ffca00;fill-opacity:1;fill-rule:nonzero;stroke:none;stroke-width:1.13305926;stroke-linecap:butt;stroke-linejoin:round;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ d="m 0,-2.236068 c 0.593012,0 1.161816,0.235606 1.581139,0.654929 C 2.000462,-1.161816 2.236068,-0.593012 2.236068,0 c 0,0.593012 -0.235606,1.161816 -0.654929,1.581139 C 1.161816,2.000462 0.593012,2.236068 0,2.236068 c -0.593012,0 -1.161816,-0.235606 -1.581139,-0.654929 C -2.000462,1.161816 -2.236068,0.593012 -2.236068,0 c 0,-0.593012 0.235606,-1.161816 0.654929,-1.581139 C -1.161816,-2.000462 -0.593012,-2.236068 0,-2.236068 Z" />
+ </g>
+ </g>
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ transform="translate(8.6230106,4.4449087)"
+ id="g24846">
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ id="g24848">
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ clip-path="url(#clipPath24854-4)"
+ id="g24850">
+ <path
+ inkscape:connector-curvature="0"
+ id="path24856"
+ style="fill:#ffca00;fill-opacity:1;fill-rule:nonzero;stroke:none;stroke-width:1.13305926;stroke-linecap:butt;stroke-linejoin:round;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ d="m 0,-2.236068 c 0.593012,0 1.161816,0.235606 1.581139,0.654929 C 2.000462,-1.161816 2.236068,-0.593012 2.236068,0 c 0,0.593012 -0.235606,1.161816 -0.654929,1.581139 C 1.161816,2.000462 0.593012,2.236068 0,2.236068 c -0.593012,0 -1.161816,-0.235606 -1.581139,-0.654929 C -2.000462,1.161816 -2.236068,0.593012 -2.236068,0 c 0,-0.593012 0.235606,-1.161816 0.654929,-1.581139 C -1.161816,-2.000462 -0.593012,-2.236068 0,-2.236068 Z" />
+ </g>
+ </g>
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ transform="translate(-8.6230106,-4.3324048)"
+ id="g24858">
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ id="g24860">
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ clip-path="url(#clipPath24866-9)"
+ id="g24862">
+ <path
+ inkscape:connector-curvature="0"
+ id="path24868"
+ style="fill:#ffca00;fill-opacity:1;fill-rule:nonzero;stroke:none;stroke-width:1.13305926;stroke-linecap:butt;stroke-linejoin:round;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ d="m 0,-2.236068 c 0.593012,0 1.161816,0.235606 1.581139,0.654929 C 2.000462,-1.161816 2.236068,-0.593012 2.236068,0 c 0,0.593012 -0.235606,1.161816 -0.654929,1.581139 C 1.161816,2.000462 0.593012,2.236068 0,2.236068 c -0.593012,0 -1.161816,-0.235606 -1.581139,-0.654929 C -2.000462,1.161816 -2.236068,0.593012 -2.236068,0 c 0,-0.593012 0.235606,-1.161816 0.654929,-1.581139 C -1.161816,-2.000462 -0.593012,-2.236068 0,-2.236068 Z" />
+ </g>
+ </g>
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ transform="translate(-8.6230106,0.15594682)"
+ id="g24870">
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ id="g24872">
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ clip-path="url(#clipPath24878-2)"
+ id="g24874">
+ <path
+ inkscape:connector-curvature="0"
+ id="path24880"
+ style="fill:#ffca00;fill-opacity:1;fill-rule:nonzero;stroke:none;stroke-width:1.13305926;stroke-linecap:butt;stroke-linejoin:round;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ d="m 0,-2.236068 c 0.593012,0 1.161816,0.235606 1.581139,0.654929 C 2.000462,-1.161816 2.236068,-0.593012 2.236068,0 c 0,0.593012 -0.235606,1.161816 -0.654929,1.581139 C 1.161816,2.000462 0.593012,2.236068 0,2.236068 c -0.593012,0 -1.161816,-0.235606 -1.581139,-0.654929 C -2.000462,1.161816 -2.236068,0.593012 -2.236068,0 c 0,-0.593012 0.235606,-1.161816 0.654929,-1.581139 C -1.161816,-2.000462 -0.593012,-2.236068 0,-2.236068 Z" />
+ </g>
+ </g>
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ transform="translate(68.984085,-0.01126583)"
+ id="g24882">
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ id="g24884">
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ clip-path="url(#clipPath24890-6)"
+ id="g24886">
+ <path
+ inkscape:connector-curvature="0"
+ id="path24892"
+ style="fill:#ffca00;fill-opacity:1;fill-rule:nonzero;stroke:none;stroke-width:1.13305926;stroke-linecap:butt;stroke-linejoin:round;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ d="m 0,-2.236068 c 0.593012,0 1.161816,0.235606 1.581139,0.654929 C 2.000462,-1.161816 2.236068,-0.593012 2.236068,0 c 0,0.593012 -0.235606,1.161816 -0.654929,1.581139 C 1.161816,2.000462 0.593012,2.236068 0,2.236068 c -0.593012,0 -1.161816,-0.235606 -1.581139,-0.654929 C -2.000462,1.161816 -2.236068,0.593012 -2.236068,0 c 0,-0.593012 0.235606,-1.161816 0.654929,-1.581139 C -1.161816,-2.000462 -0.593012,-2.236068 0,-2.236068 Z" />
+ </g>
+ </g>
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ transform="translate(-56.049569,0.01126583)"
+ id="g24894">
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ id="g24896">
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ clip-path="url(#clipPath24902-1)"
+ id="g24898">
+ <path
+ inkscape:connector-curvature="0"
+ id="path24904"
+ style="fill:#ffca00;fill-opacity:1;fill-rule:nonzero;stroke:none;stroke-width:1.13305926;stroke-linecap:butt;stroke-linejoin:round;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ d="m 0,-2.236068 c 0.593012,0 1.161816,0.235606 1.581139,0.654929 C 2.000462,-1.161816 2.236068,-0.593012 2.236068,0 c 0,0.593012 -0.235606,1.161816 -0.654929,1.581139 C 1.161816,2.000462 0.593012,2.236068 0,2.236068 c -0.593012,0 -1.161816,-0.235606 -1.581139,-0.654929 C -2.000462,1.161816 -2.236068,0.593012 -2.236068,0 c 0,-0.593012 0.235606,-1.161816 0.654929,-1.581139 C -1.161816,-2.000462 -0.593012,-2.236068 0,-2.236068 Z" />
+ </g>
+ </g>
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ transform="translate(172.46021,27.019966)"
+ id="g24906">
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ id="g24908">
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ clip-path="url(#clipPath24914-8)"
+ id="g24910" />
+ </g>
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ transform="translate(-120.72215,167.58723)"
+ id="g24918">
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ id="g24920">
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ clip-path="url(#clipPath24926-9)"
+ id="g24922" />
+ </g>
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ transform="translate(-34.492042,-185.8974)"
+ id="g24930">
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ id="g24932">
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ clip-path="url(#clipPath24938-8)"
+ id="g24934">
+ <path
+ inkscape:connector-curvature="0"
+ id="path24940"
+ style="fill:#ffca00;fill-opacity:1;fill-rule:nonzero;stroke:none;stroke-width:1.13305926;stroke-linecap:butt;stroke-linejoin:round;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ d="m 0,-2.236068 c 0.593012,0 1.161816,0.235606 1.581139,0.654929 C 2.000462,-1.161816 2.236068,-0.593012 2.236068,0 c 0,0.593012 -0.235606,1.161816 -0.654929,1.581139 C 1.161816,2.000462 0.593012,2.236068 0,2.236068 c -0.593012,0 -1.161816,-0.235606 -1.581139,-0.654929 C -2.000462,1.161816 -2.236068,0.593012 -2.236068,0 c 0,-0.593012 0.235606,-1.161816 0.654929,-1.581139 C -1.161816,-2.000462 -0.593012,-2.236068 0,-2.236068 Z" />
+ </g>
+ </g>
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ transform="translate(125.03365,1.9290799)"
+ id="g24942">
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ id="g24944">
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ clip-path="url(#clipPath24950-8)"
+ id="g24946" />
+ </g>
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ transform="translate(-25.869032,-9.6453995)"
+ id="g24954">
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ id="g24956">
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ clip-path="url(#clipPath24962-8)"
+ id="g24958">
+ <path
+ inkscape:connector-curvature="0"
+ id="path24964"
+ style="fill:#ffca00;fill-opacity:1;fill-rule:nonzero;stroke:none;stroke-width:1.13305926;stroke-linecap:butt;stroke-linejoin:round;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ d="m 0,-2.236068 c 0.593012,0 1.161816,0.235606 1.581139,0.654929 C 2.000462,-1.161816 2.236068,-0.593012 2.236068,0 c 0,0.593012 -0.235606,1.161816 -0.654929,1.581139 C 1.161816,2.000462 0.593012,2.236068 0,2.236068 c -0.593012,0 -1.161816,-0.235606 -1.581139,-0.654929 C -2.000462,1.161816 -2.236068,0.593012 -2.236068,0 c 0,-0.593012 0.235606,-1.161816 0.654929,-1.581139 C -1.161816,-2.000462 -0.593012,-2.236068 0,-2.236068 Z" />
+ </g>
+ </g>
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ transform="translate(-103.47613,-1.0207919)"
+ id="g24966">
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ id="g24968">
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ clip-path="url(#clipPath24974-8)"
+ id="g24970">
+ <path
+ inkscape:connector-curvature="0"
+ id="path24976"
+ style="fill:#ffca00;fill-opacity:1;fill-rule:nonzero;stroke:none;stroke-width:1.13305926;stroke-linecap:butt;stroke-linejoin:round;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ d="m 0,-2.236068 c 0.593012,0 1.161816,0.235606 1.581139,0.654929 C 2.000462,-1.161816 2.236068,-0.593012 2.236068,0 c 0,0.593012 -0.235606,1.161816 -0.654929,1.581139 C 1.161816,2.000462 0.593012,2.236068 0,2.236068 c -0.593012,0 -1.161816,-0.235606 -1.581139,-0.654929 C -2.000462,1.161816 -2.236068,0.593012 -2.236068,0 c 0,-0.593012 0.235606,-1.161816 0.654929,-1.581139 C -1.161816,-2.000462 -0.593012,-2.236068 0,-2.236068 Z" />
+ </g>
+ </g>
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ transform="translate(-8.6230106,25.327199)"
+ id="g24978">
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ id="g24980">
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ clip-path="url(#clipPath24986-3)"
+ id="g24982">
+ <path
+ inkscape:connector-curvature="0"
+ id="path24988"
+ style="fill:#ffca00;fill-opacity:1;fill-rule:nonzero;stroke:none;stroke-width:1.13305926;stroke-linecap:butt;stroke-linejoin:round;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ d="m 0,-2.236068 c 0.593012,0 1.161816,0.235606 1.581139,0.654929 C 2.000462,-1.161816 2.236068,-0.593012 2.236068,0 c 0,0.593012 -0.235606,1.161816 -0.654929,1.581139 C 1.161816,2.000462 0.593012,2.236068 0,2.236068 c -0.593012,0 -1.161816,-0.235606 -1.581139,-0.654929 C -2.000462,1.161816 -2.236068,0.593012 -2.236068,0 c 0,-0.593012 0.235606,-1.161816 0.654929,-1.581139 C -1.161816,-2.000462 -0.593012,-2.236068 0,-2.236068 Z" />
+ </g>
+ </g>
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ transform="translate(68.984085,-25.569954)"
+ id="g24990">
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ id="g24992">
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ clip-path="url(#clipPath24998-8)"
+ id="g24994">
+ <path
+ inkscape:connector-curvature="0"
+ id="path25000"
+ style="fill:#ffca00;fill-opacity:1;fill-rule:nonzero;stroke:none;stroke-width:1.13305926;stroke-linecap:butt;stroke-linejoin:round;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ d="m 0,-2.236068 c 0.593012,0 1.161816,0.235606 1.581139,0.654929 C 2.000462,-1.161816 2.236068,-0.593012 2.236068,0 c 0,0.593012 -0.235606,1.161816 -0.654929,1.581139 C 1.161816,2.000462 0.593012,2.236068 0,2.236068 c -0.593012,0 -1.161816,-0.235606 -1.581139,-0.654929 C -2.000462,1.161816 -2.236068,0.593012 -2.236068,0 c 0,-0.593012 0.235606,-1.161816 0.654929,-1.581139 C -1.161816,-2.000462 -0.593012,-2.236068 0,-2.236068 Z" />
+ </g>
+ </g>
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ transform="translate(38.803548,26.815831)"
+ id="g25002">
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ id="g25004">
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ clip-path="url(#clipPath25010-4)"
+ id="g25006">
+ <path
+ inkscape:connector-curvature="0"
+ id="path25012"
+ style="fill:#ffca00;fill-opacity:1;fill-rule:nonzero;stroke:none;stroke-width:1.13305926;stroke-linecap:butt;stroke-linejoin:round;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ d="m 0,-2.236068 c 0.593012,0 1.161816,0.235606 1.581139,0.654929 C 2.000462,-1.161816 2.236068,-0.593012 2.236068,0 c 0,0.593012 -0.235606,1.161816 -0.654929,1.581139 C 1.161816,2.000462 0.593012,2.236068 0,2.236068 c -0.593012,0 -1.161816,-0.235606 -1.581139,-0.654929 C -2.000462,1.161816 -2.236068,0.593012 -2.236068,0 c 0,-0.593012 0.235606,-1.161816 0.654929,-1.581139 C -1.161816,-2.000462 -0.593012,-2.236068 0,-2.236068 Z" />
+ </g>
+ </g>
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ transform="translate(4.3115053,-19.572136)"
+ id="g25014">
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ id="g25016">
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ clip-path="url(#clipPath25022-6)"
+ id="g25018">
+ <path
+ inkscape:connector-curvature="0"
+ id="path25024"
+ style="fill:#ffca00;fill-opacity:1;fill-rule:nonzero;stroke:none;stroke-width:1.13305926;stroke-linecap:butt;stroke-linejoin:round;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ d="m 0,-2.236068 c 0.593012,0 1.161816,0.235606 1.581139,0.654929 C 2.000462,-1.161816 2.236068,-0.593012 2.236068,0 c 0,0.593012 -0.235606,1.161816 -0.654929,1.581139 C 1.161816,2.000462 0.593012,2.236068 0,2.236068 c -0.593012,0 -1.161816,-0.235606 -1.581139,-0.654929 C -2.000462,1.161816 -2.236068,0.593012 -2.236068,0 c 0,-0.593012 0.235606,-1.161816 0.654929,-1.581139 C -1.161816,-2.000462 -0.593012,-2.236068 0,-2.236068 Z" />
+ </g>
+ </g>
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ transform="translate(-68.984085,-5.0156077)"
+ id="g25026">
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ id="g25028">
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ clip-path="url(#clipPath25034-9)"
+ id="g25030">
+ <path
+ inkscape:connector-curvature="0"
+ id="path25036"
+ style="fill:#ffca00;fill-opacity:1;fill-rule:nonzero;stroke:none;stroke-width:1.13305926;stroke-linecap:butt;stroke-linejoin:round;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ d="m 0,-2.236068 c 0.593012,0 1.161816,0.235606 1.581139,0.654929 C 2.000462,-1.161816 2.236068,-0.593012 2.236068,0 c 0,0.593012 -0.235606,1.161816 -0.654929,1.581139 C 1.161816,2.000462 0.593012,2.236068 0,2.236068 c -0.593012,0 -1.161816,-0.235606 -1.581139,-0.654929 C -2.000462,1.161816 -2.236068,0.593012 -2.236068,0 c 0,-0.593012 0.235606,-1.161816 0.654929,-1.581139 C -1.161816,-2.000462 -0.593012,-2.236068 0,-2.236068 Z" />
+ </g>
+ </g>
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ transform="translate(60.361074,5.2278065)"
+ id="g25038">
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ id="g25040">
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ clip-path="url(#clipPath25046-6)"
+ id="g25042">
+ <path
+ inkscape:connector-curvature="0"
+ id="path25048"
+ style="fill:#ffca00;fill-opacity:1;fill-rule:nonzero;stroke:none;stroke-width:1.13305926;stroke-linecap:butt;stroke-linejoin:round;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ d="m 0,-2.236068 c 0.593012,0 1.161816,0.235606 1.581139,0.654929 C 2.000462,-1.161816 2.236068,-0.593012 2.236068,0 c 0,0.593012 -0.235606,1.161816 -0.654929,1.581139 C 1.161816,2.000462 0.593012,2.236068 0,2.236068 c -0.593012,0 -1.161816,-0.235606 -1.581139,-0.654929 C -2.000462,1.161816 -2.236068,0.593012 -2.236068,0 c 0,-0.593012 0.235606,-1.161816 0.654929,-1.581139 C -1.161816,-2.000462 -0.593012,-2.236068 0,-2.236068 Z" />
+ </g>
+ </g>
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ transform="translate(-112.09914,-7.4462484)"
+ id="g25050">
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ id="g25052">
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ clip-path="url(#clipPath25058-7)"
+ id="g25054">
+ <path
+ inkscape:connector-curvature="0"
+ id="path25060"
+ style="fill:#ffca00;fill-opacity:1;fill-rule:nonzero;stroke:none;stroke-width:1.13305926;stroke-linecap:butt;stroke-linejoin:round;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ d="m 0,-2.236068 c 0.593012,0 1.161816,0.235606 1.581139,0.654929 C 2.000462,-1.161816 2.236068,-0.593012 2.236068,0 c 0,0.593012 -0.235606,1.161816 -0.654929,1.581139 C 1.161816,2.000462 0.593012,2.236068 0,2.236068 c -0.593012,0 -1.161816,-0.235606 -1.581139,-0.654929 C -2.000462,1.161816 -2.236068,0.593012 -2.236068,0 c 0,-0.593012 0.235606,-1.161816 0.654929,-1.581139 C -1.161816,-2.000462 -0.593012,-2.236068 0,-2.236068 Z" />
+ </g>
+ </g>
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ transform="translate(12.934516,0.15432639)"
+ id="g25062">
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ id="g25064">
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ clip-path="url(#clipPath25070-0)"
+ id="g25066">
+ <path
+ inkscape:connector-curvature="0"
+ id="path25072"
+ style="fill:#ffca00;fill-opacity:1;fill-rule:nonzero;stroke:none;stroke-width:1.13305926;stroke-linecap:butt;stroke-linejoin:round;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ d="m 0,-2.236068 c 0.593012,0 1.161816,0.235606 1.581139,0.654929 C 2.000462,-1.161816 2.236068,-0.593012 2.236068,0 c 0,0.593012 -0.235606,1.161816 -0.654929,1.581139 C 1.161816,2.000462 0.593012,2.236068 0,2.236068 c -0.593012,0 -1.161816,-0.235606 -1.581139,-0.654929 C -2.000462,1.161816 -2.236068,0.593012 -2.236068,0 c 0,-0.593012 0.235606,-1.161816 0.654929,-1.581139 C -1.161816,-2.000462 -0.593012,-2.236068 0,-2.236068 Z" />
+ </g>
+ </g>
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ transform="translate(-30.180537,25.405982)"
+ id="g25074">
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ id="g25076">
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ clip-path="url(#clipPath25082-3)"
+ id="g25078">
+ <path
+ inkscape:connector-curvature="0"
+ id="path25084"
+ style="fill:#ffca00;fill-opacity:1;fill-rule:nonzero;stroke:none;stroke-width:1.13305926;stroke-linecap:butt;stroke-linejoin:round;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ d="m 0,-2.236068 c 0.593012,0 1.161816,0.235606 1.581139,0.654929 C 2.000462,-1.161816 2.236068,-0.593012 2.236068,0 c 0,0.593012 -0.235606,1.161816 -0.654929,1.581139 C 1.161816,2.000462 0.593012,2.236068 0,2.236068 c -0.593012,0 -1.161816,-0.235606 -1.581139,-0.654929 C -2.000462,1.161816 -2.236068,0.593012 -2.236068,0 c 0,-0.593012 0.235606,-1.161816 0.654929,-1.581139 C -1.161816,-2.000462 -0.593012,-2.236068 0,-2.236068 Z" />
+ </g>
+ </g>
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ transform="translate(142.27968,-18.11406)"
+ id="g25086">
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ id="g25088">
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ clip-path="url(#clipPath25094-7)"
+ id="g25090">
+ <path
+ inkscape:connector-curvature="0"
+ id="path25096"
+ style="fill:#ffca00;fill-opacity:1;fill-rule:nonzero;stroke:none;stroke-width:1.13305926;stroke-linecap:butt;stroke-linejoin:round;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ d="m 0,-2.236068 c 0.593012,0 1.161816,0.235606 1.581139,0.654929 C 2.000462,-1.161816 2.236068,-0.593012 2.236068,0 c 0,0.593012 -0.235606,1.161816 -0.654929,1.581139 C 1.161816,2.000462 0.593012,2.236068 0,2.236068 c -0.593012,0 -1.161816,-0.235606 -1.581139,-0.654929 C -2.000462,1.161816 -2.236068,0.593012 -2.236068,0 c 0,-0.593012 0.235606,-1.161816 0.654929,-1.581139 C -1.161816,-2.000462 -0.593012,-2.236068 0,-2.236068 Z" />
+ </g>
+ </g>
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ transform="translate(-77.607096,-7.1970884)"
+ id="g25098">
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ id="g25100">
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ clip-path="url(#clipPath25106-2)"
+ id="g25102">
+ <path
+ inkscape:connector-curvature="0"
+ id="path25108"
+ style="fill:#ffca00;fill-opacity:1;fill-rule:nonzero;stroke:none;stroke-width:1.13305926;stroke-linecap:butt;stroke-linejoin:round;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ d="m 0,-2.236068 c 0.593012,0 1.161816,0.235606 1.581139,0.654929 C 2.000462,-1.161816 2.236068,-0.593012 2.236068,0 c 0,0.593012 -0.235606,1.161816 -0.654929,1.581139 C 1.161816,2.000462 0.593012,2.236068 0,2.236068 c -0.593012,0 -1.161816,-0.235606 -1.581139,-0.654929 C -2.000462,1.161816 -2.236068,0.593012 -2.236068,0 c 0,-0.593012 0.235606,-1.161816 0.654929,-1.581139 C -1.161816,-2.000462 -0.593012,-2.236068 0,-2.236068 Z" />
+ </g>
+ </g>
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ transform="translate(43.115053,78.491059)"
+ id="g25110">
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ id="g25112">
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ clip-path="url(#clipPath25118-5)"
+ id="g25114">
+ <path
+ inkscape:connector-curvature="0"
+ id="path25120"
+ style="fill:#ffca00;fill-opacity:1;fill-rule:nonzero;stroke:none;stroke-width:1.13305926;stroke-linecap:butt;stroke-linejoin:round;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ d="m 0,-2.236068 c 0.593012,0 1.161816,0.235606 1.581139,0.654929 C 2.000462,-1.161816 2.236068,-0.593012 2.236068,0 c 0,0.593012 -0.235606,1.161816 -0.654929,1.581139 C 1.161816,2.000462 0.593012,2.236068 0,2.236068 c -0.593012,0 -1.161816,-0.235606 -1.581139,-0.654929 C -2.000462,1.161816 -2.236068,0.593012 -2.236068,0 c 0,-0.593012 0.235606,-1.161816 0.654929,-1.581139 C -1.161816,-2.000462 -0.593012,-2.236068 0,-2.236068 Z" />
+ </g>
+ </g>
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ transform="translate(-43.115053,-78.198456)"
+ id="g25122">
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ id="g25124">
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ clip-path="url(#clipPath25130-6)"
+ id="g25126">
+ <path
+ inkscape:connector-curvature="0"
+ id="path25132"
+ style="fill:#ffca00;fill-opacity:1;fill-rule:nonzero;stroke:none;stroke-width:1.13305926;stroke-linecap:butt;stroke-linejoin:round;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ d="m 0,-2.236068 c 0.593012,0 1.161816,0.235606 1.581139,0.654929 C 2.000462,-1.161816 2.236068,-0.593012 2.236068,0 c 0,0.593012 -0.235606,1.161816 -0.654929,1.581139 C 1.161816,2.000462 0.593012,2.236068 0,2.236068 c -0.593012,0 -1.161816,-0.235606 -1.581139,-0.654929 C -2.000462,1.161816 -2.236068,0.593012 -2.236068,0 c 0,-0.593012 0.235606,-1.161816 0.654929,-1.581139 C -1.161816,-2.000462 -0.593012,-2.236068 0,-2.236068 Z" />
+ </g>
+ </g>
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ transform="translate(-38.803548,-0.29260284)"
+ id="g25134">
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ id="g25136">
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ clip-path="url(#clipPath25142-8)"
+ id="g25138">
+ <path
+ inkscape:connector-curvature="0"
+ id="path25144"
+ style="fill:#ffca00;fill-opacity:1;fill-rule:nonzero;stroke:none;stroke-width:1.13305926;stroke-linecap:butt;stroke-linejoin:round;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ d="m 0,-2.236068 c 0.593012,0 1.161816,0.235606 1.581139,0.654929 C 2.000462,-1.161816 2.236068,-0.593012 2.236068,0 c 0,0.593012 -0.235606,1.161816 -0.654929,1.581139 C 1.161816,2.000462 0.593012,2.236068 0,2.236068 c -0.593012,0 -1.161816,-0.235606 -1.581139,-0.654929 C -2.000462,1.161816 -2.236068,0.593012 -2.236068,0 c 0,-0.593012 0.235606,-1.161816 0.654929,-1.581139 C -1.161816,-2.000462 -0.593012,-2.236068 0,-2.236068 Z" />
+ </g>
+ </g>
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ transform="translate(120.72215,27.150218)"
+ id="g25146">
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ id="g25148">
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ clip-path="url(#clipPath25154-9)"
+ id="g25150">
+ <path
+ inkscape:connector-curvature="0"
+ id="path25156"
+ style="fill:#ffca00;fill-opacity:1;fill-rule:nonzero;stroke:none;stroke-width:1.13305926;stroke-linecap:butt;stroke-linejoin:round;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ d="m 0,-2.236068 c 0.593012,0 1.161816,0.235606 1.581139,0.654929 C 2.000462,-1.161816 2.236068,-0.593012 2.236068,0 c 0,0.593012 -0.235606,1.161816 -0.654929,1.581139 C 1.161816,2.000462 0.593012,2.236068 0,2.236068 c -0.593012,0 -1.161816,-0.235606 -1.581139,-0.654929 C -2.000462,1.161816 -2.236068,0.593012 -2.236068,0 c 0,-0.593012 0.235606,-1.161816 0.654929,-1.581139 C -1.161816,-2.000462 -0.593012,-2.236068 0,-2.236068 Z" />
+ </g>
+ </g>
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ transform="translate(-185.39473,-24.31447)"
+ id="g25158">
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ id="g25160">
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ clip-path="url(#clipPath25166-0)"
+ id="g25162" />
+ </g>
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ transform="translate(103.47613,4.1491422)"
+ id="g25170">
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ id="g25172">
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ clip-path="url(#clipPath25178-1)"
+ id="g25174">
+ <path
+ inkscape:connector-curvature="0"
+ id="path25180"
+ style="fill:#ffca00;fill-opacity:1;fill-rule:nonzero;stroke:none;stroke-width:1.13305926;stroke-linecap:butt;stroke-linejoin:round;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ d="m 0,-2.236068 c 0.593012,0 1.161816,0.235606 1.581139,0.654929 C 2.000462,-1.161816 2.236068,-0.593012 2.236068,0 c 0,0.593012 -0.235606,1.161816 -0.654929,1.581139 C 1.161816,2.000462 0.593012,2.236068 0,2.236068 c -0.593012,0 -1.161816,-0.235606 -1.581139,-0.654929 C -2.000462,1.161816 -2.236068,0.593012 -2.236068,0 c 0,-0.593012 0.235606,-1.161816 0.654929,-1.581139 C -1.161816,-2.000462 -0.593012,-2.236068 0,-2.236068 Z" />
+ </g>
+ </g>
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ transform="translate(64.67258,-7.0009396)"
+ id="g25182">
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ id="g25184">
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ clip-path="url(#clipPath25190-4)"
+ id="g25186">
+ <path
+ inkscape:connector-curvature="0"
+ id="path25192"
+ style="fill:#ffca00;fill-opacity:1;fill-rule:nonzero;stroke:none;stroke-width:1.13305926;stroke-linecap:butt;stroke-linejoin:round;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ d="m 0,-2.236068 c 0.593012,0 1.161816,0.235606 1.581139,0.654929 C 2.000462,-1.161816 2.236068,-0.593012 2.236068,0 c 0,0.593012 -0.235606,1.161816 -0.654929,1.581139 C 1.161816,2.000462 0.593012,2.236068 0,2.236068 c -0.593012,0 -1.161816,-0.235606 -1.581139,-0.654929 C -2.000462,1.161816 -2.236068,0.593012 -2.236068,0 c 0,-0.593012 0.235606,-1.161816 0.654929,-1.581139 C -1.161816,-2.000462 -0.593012,-2.236068 0,-2.236068 Z" />
+ </g>
+ </g>
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ transform="translate(-137.96817,-0.04664515)"
+ id="g25194">
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ id="g25196">
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ clip-path="url(#clipPath25202-7)"
+ id="g25198">
+ <path
+ inkscape:connector-curvature="0"
+ id="path25204"
+ style="fill:#ffca00;fill-opacity:1;fill-rule:nonzero;stroke:none;stroke-width:1.13305926;stroke-linecap:butt;stroke-linejoin:round;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ d="m 0,-2.236068 c 0.593012,0 1.161816,0.235606 1.581139,0.654929 C 2.000462,-1.161816 2.236068,-0.593012 2.236068,0 c 0,0.593012 -0.235606,1.161816 -0.654929,1.581139 C 1.161816,2.000462 0.593012,2.236068 0,2.236068 c -0.593012,0 -1.161816,-0.235606 -1.581139,-0.654929 C -2.000462,1.161816 -2.236068,0.593012 -2.236068,0 c 0,-0.593012 0.235606,-1.161816 0.654929,-1.581139 C -1.161816,-2.000462 -0.593012,-2.236068 0,-2.236068 Z" />
+ </g>
+ </g>
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ transform="translate(60.361074,0.12218792)"
+ id="g25206">
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ id="g25208">
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ clip-path="url(#clipPath25214-8)"
+ id="g25210">
+ <path
+ inkscape:connector-curvature="0"
+ id="path25216"
+ style="fill:#ffca00;fill-opacity:1;fill-rule:nonzero;stroke:none;stroke-width:1.13305926;stroke-linecap:butt;stroke-linejoin:round;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ d="m 0,-2.236068 c 0.593012,0 1.161816,0.235606 1.581139,0.654929 C 2.000462,-1.161816 2.236068,-0.593012 2.236068,0 c 0,0.593012 -0.235606,1.161816 -0.654929,1.581139 C 1.161816,2.000462 0.593012,2.236068 0,2.236068 c -0.593012,0 -1.161816,-0.235606 -1.581139,-0.654929 C -2.000462,1.161816 -2.236068,0.593012 -2.236068,0 c 0,-0.593012 0.235606,-1.161816 0.654929,-1.581139 C -1.161816,-2.000462 -0.593012,-2.236068 0,-2.236068 Z" />
+ </g>
+ </g>
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ transform="translate(-25.869032,-0.21381922)"
+ id="g25218">
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ id="g25220">
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ clip-path="url(#clipPath25226-2)"
+ id="g25222">
+ <path
+ inkscape:connector-curvature="0"
+ id="path25228"
+ style="fill:#ffca00;fill-opacity:1;fill-rule:nonzero;stroke:none;stroke-width:1.13305926;stroke-linecap:butt;stroke-linejoin:round;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ d="m 0,-2.236068 c 0.593012,0 1.161816,0.235606 1.581139,0.654929 C 2.000462,-1.161816 2.236068,-0.593012 2.236068,0 c 0,0.593012 -0.235606,1.161816 -0.654929,1.581139 C 1.161816,2.000462 0.593012,2.236068 0,2.236068 c -0.593012,0 -1.161816,-0.235606 -1.581139,-0.654929 C -2.000462,1.161816 -2.236068,0.593012 -2.236068,0 c 0,-0.593012 0.235606,-1.161816 0.654929,-1.581139 C -1.161816,-2.000462 -0.593012,-2.236068 0,-2.236068 Z" />
+ </g>
+ </g>
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ transform="translate(-8.6230106,0.09807442)"
+ id="g25230">
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ id="g25232">
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ clip-path="url(#clipPath25238-7)"
+ id="g25234">
+ <path
+ inkscape:connector-curvature="0"
+ id="path25240"
+ style="fill:#ffca00;fill-opacity:1;fill-rule:nonzero;stroke:none;stroke-width:1.13305926;stroke-linecap:butt;stroke-linejoin:round;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ d="m 0,-2.236068 c 0.593012,0 1.161816,0.235606 1.581139,0.654929 C 2.000462,-1.161816 2.236068,-0.593012 2.236068,0 c 0,0.593012 -0.235606,1.161816 -0.654929,1.581139 C 1.161816,2.000462 0.593012,2.236068 0,2.236068 c -0.593012,0 -1.161816,-0.235606 -1.581139,-0.654929 C -2.000462,1.161816 -2.236068,0.593012 -2.236068,0 c 0,-0.593012 0.235606,-1.161816 0.654929,-1.581139 C -1.161816,-2.000462 -0.593012,-2.236068 0,-2.236068 Z" />
+ </g>
+ </g>
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ transform="translate(-8.6230106,0.0675178)"
+ id="g25242">
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ id="g25244">
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ clip-path="url(#clipPath25250-3)"
+ id="g25246">
+ <path
+ inkscape:connector-curvature="0"
+ id="path25252"
+ style="fill:#ffca00;fill-opacity:1;fill-rule:nonzero;stroke:none;stroke-width:1.13305926;stroke-linecap:butt;stroke-linejoin:round;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ d="m 0,-2.236068 c 0.593012,0 1.161816,0.235606 1.581139,0.654929 C 2.000462,-1.161816 2.236068,-0.593012 2.236068,0 c 0,0.593012 -0.235606,1.161816 -0.654929,1.581139 C 1.161816,2.000462 0.593012,2.236068 0,2.236068 c -0.593012,0 -1.161816,-0.235606 -1.581139,-0.654929 C -2.000462,1.161816 -2.236068,0.593012 -2.236068,0 c 0,-0.593012 0.235606,-1.161816 0.654929,-1.581139 C -1.161816,-2.000462 -0.593012,-2.236068 0,-2.236068 Z" />
+ </g>
+ </g>
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ transform="translate(53.893816,8.5442035)"
+ id="g25254">
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ id="g25256">
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ clip-path="url(#clipPath25262-2)"
+ id="g25258">
+ <path
+ inkscape:connector-curvature="0"
+ id="path25264"
+ style="fill:#ffca00;fill-opacity:1;fill-rule:nonzero;stroke:none;stroke-width:1.13305926;stroke-linecap:butt;stroke-linejoin:round;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ d="m 0,-2.236068 c 0.593012,0 1.161816,0.235606 1.581139,0.654929 C 2.000462,-1.161816 2.236068,-0.593012 2.236068,0 c 0,0.593012 -0.235606,1.161816 -0.654929,1.581139 C 1.161816,2.000462 0.593012,2.236068 0,2.236068 c -0.593012,0 -1.161816,-0.235606 -1.581139,-0.654929 C -2.000462,1.161816 -2.236068,0.593012 -2.236068,0 c 0,-0.593012 0.235606,-1.161816 0.654929,-1.581139 C -1.161816,-2.000462 -0.593012,-2.236068 0,-2.236068 Z" />
+ </g>
+ </g>
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ transform="translate(66.828332,18.001556)"
+ id="g25266">
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ id="g25268">
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ clip-path="url(#clipPath25274-3)"
+ id="g25270">
+ <path
+ inkscape:connector-curvature="0"
+ id="path25276"
+ style="fill:#ffca00;fill-opacity:1;fill-rule:nonzero;stroke:none;stroke-width:1.13305926;stroke-linecap:butt;stroke-linejoin:round;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ d="m 0,-2.236068 c 0.593012,0 1.161816,0.235606 1.581139,0.654929 C 2.000462,-1.161816 2.236068,-0.593012 2.236068,0 c 0,0.593012 -0.235606,1.161816 -0.654929,1.581139 C 1.161816,2.000462 0.593012,2.236068 0,2.236068 c -0.593012,0 -1.161816,-0.235606 -1.581139,-0.654929 C -2.000462,1.161816 -2.236068,0.593012 -2.236068,0 c 0,-0.593012 0.235606,-1.161816 0.654929,-1.581139 C -1.161816,-2.000462 -0.593012,-2.236068 0,-2.236068 Z" />
+ </g>
+ </g>
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ transform="translate(-77.607096,-21.501216)"
+ id="g25278">
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ id="g25280">
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ clip-path="url(#clipPath25286-1)"
+ id="g25282">
+ <path
+ inkscape:connector-curvature="0"
+ id="path25288"
+ style="fill:#ffca00;fill-opacity:1;fill-rule:nonzero;stroke:none;stroke-width:1.13305926;stroke-linecap:butt;stroke-linejoin:round;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ d="m 0,-2.236068 c 0.593012,0 1.161816,0.235606 1.581139,0.654929 C 2.000462,-1.161816 2.236068,-0.593012 2.236068,0 c 0,0.593012 -0.235606,1.161816 -0.654929,1.581139 C 1.161816,2.000462 0.593012,2.236068 0,2.236068 c -0.593012,0 -1.161816,-0.235606 -1.581139,-0.654929 C -2.000462,1.161816 -2.236068,0.593012 -2.236068,0 c 0,-0.593012 0.235606,-1.161816 0.654929,-1.581139 C -1.161816,-2.000462 -0.593012,-2.236068 0,-2.236068 Z" />
+ </g>
+ </g>
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ transform="translate(12.934516,-5.1024163)"
+ id="g25290">
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ id="g25292">
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ clip-path="url(#clipPath25298-8)"
+ id="g25294">
+ <path
+ inkscape:connector-curvature="0"
+ id="path25300"
+ style="fill:#ffca00;fill-opacity:1;fill-rule:nonzero;stroke:none;stroke-width:1.13305926;stroke-linecap:butt;stroke-linejoin:round;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ d="m 0,-2.236068 c 0.593012,0 1.161816,0.235606 1.581139,0.654929 C 2.000462,-1.161816 2.236068,-0.593012 2.236068,0 c 0,0.593012 -0.235606,1.161816 -0.654929,1.581139 C 1.161816,2.000462 0.593012,2.236068 0,2.236068 c -0.593012,0 -1.161816,-0.235606 -1.581139,-0.654929 C -2.000462,1.161816 -2.236068,0.593012 -2.236068,0 c 0,-0.593012 0.235606,-1.161816 0.654929,-1.581139 C -1.161816,-2.000462 -0.593012,-2.236068 0,-2.236068 Z" />
+ </g>
+ </g>
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ transform="translate(-140.46884,0.28615971)"
+ id="g25302">
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ id="g25304">
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ clip-path="url(#clipPath25310-1)"
+ id="g25306" />
+ </g>
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ transform="translate(243.94497,1.4789484)"
+ id="g25314">
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ id="g25316">
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ clip-path="url(#clipPath25322-4)"
+ id="g25318" />
+ </g>
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ transform="translate(-129.34516,5.2663881)"
+ id="g25326">
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ id="g25328">
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ clip-path="url(#clipPath25334-2)"
+ id="g25330">
+ <path
+ inkscape:connector-curvature="0"
+ id="path25336"
+ style="fill:#ffca00;fill-opacity:1;fill-rule:nonzero;stroke:none;stroke-width:1.13305926;stroke-linecap:butt;stroke-linejoin:round;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ d="m 0,-2.236068 c 0.593012,0 1.161816,0.235606 1.581139,0.654929 C 2.000462,-1.161816 2.236068,-0.593012 2.236068,0 c 0,0.593012 -0.235606,1.161816 -0.654929,1.581139 C 1.161816,2.000462 0.593012,2.236068 0,2.236068 c -0.593012,0 -1.161816,-0.235606 -1.581139,-0.654929 C -2.000462,1.161816 -2.236068,0.593012 -2.236068,0 c 0,-0.593012 0.235606,-1.161816 0.654929,-1.581139 C -1.161816,-2.000462 -0.593012,-2.236068 0,-2.236068 Z" />
+ </g>
+ </g>
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ transform="translate(12.934516,-5.0156077)"
+ id="g25338">
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ id="g25340">
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ clip-path="url(#clipPath25346-7)"
+ id="g25342">
+ <path
+ inkscape:connector-curvature="0"
+ id="path25348"
+ style="fill:#ffca00;fill-opacity:1;fill-rule:nonzero;stroke:none;stroke-width:1.13305926;stroke-linecap:butt;stroke-linejoin:round;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ d="m 0,-2.236068 c 0.593012,0 1.161816,0.235606 1.581139,0.654929 C 2.000462,-1.161816 2.236068,-0.593012 2.236068,0 c 0,0.593012 -0.235606,1.161816 -0.654929,1.581139 C 1.161816,2.000462 0.593012,2.236068 0,2.236068 c -0.593012,0 -1.161816,-0.235606 -1.581139,-0.654929 C -2.000462,1.161816 -2.236068,0.593012 -2.236068,0 c 0,-0.593012 0.235606,-1.161816 0.654929,-1.581139 C -1.161816,-2.000462 -0.593012,-2.236068 0,-2.236068 Z" />
+ </g>
+ </g>
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ id="g25350">
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ id="g25352">
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ clip-path="url(#clipPath25358-9)"
+ id="g25354">
+ <path
+ inkscape:connector-curvature="0"
+ id="path25360"
+ style="fill:#ffca00;fill-opacity:1;fill-rule:nonzero;stroke:none;stroke-width:1.13305926;stroke-linecap:butt;stroke-linejoin:round;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ d="m 0,-2.236068 c 0.593012,0 1.161816,0.235606 1.581139,0.654929 C 2.000462,-1.161816 2.236068,-0.593012 2.236068,0 c 0,0.593012 -0.235606,1.161816 -0.654929,1.581139 C 1.161816,2.000462 0.593012,2.236068 0,2.236068 c -0.593012,0 -1.161816,-0.235606 -1.581139,-0.654929 C -2.000462,1.161816 -2.236068,0.593012 -2.236068,0 c 0,-0.593012 0.235606,-1.161816 0.654929,-1.581139 C -1.161816,-2.000462 -0.593012,-2.236068 0,-2.236068 Z" />
+ </g>
+ </g>
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ transform="translate(66.828332,5.9801477)"
+ id="g25362">
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ id="g25364">
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ clip-path="url(#clipPath25370-4)"
+ id="g25366">
+ <path
+ inkscape:connector-curvature="0"
+ id="path25372"
+ style="fill:#ffca00;fill-opacity:1;fill-rule:nonzero;stroke:none;stroke-width:1.13305926;stroke-linecap:butt;stroke-linejoin:round;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ d="m 0,-2.236068 c 0.593012,0 1.161816,0.235606 1.581139,0.654929 C 2.000462,-1.161816 2.236068,-0.593012 2.236068,0 c 0,0.593012 -0.235606,1.161816 -0.654929,1.581139 C 1.161816,2.000462 0.593012,2.236068 0,2.236068 c -0.593012,0 -1.161816,-0.235606 -1.581139,-0.654929 C -2.000462,1.161816 -2.236068,0.593012 -2.236068,0 c 0,-0.593012 0.235606,-1.161816 0.654929,-1.581139 C -1.161816,-2.000462 -0.593012,-2.236068 0,-2.236068 Z" />
+ </g>
+ </g>
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ transform="translate(-40.9593,-10.995755)"
+ id="g25374">
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ id="g25376">
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ clip-path="url(#clipPath25382-9)"
+ id="g25378">
+ <path
+ inkscape:connector-curvature="0"
+ id="path25384"
+ style="fill:#ffca00;fill-opacity:1;fill-rule:nonzero;stroke:none;stroke-width:1.13305926;stroke-linecap:butt;stroke-linejoin:round;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ d="m 0,-2.236068 c 0.593012,0 1.161816,0.235606 1.581139,0.654929 C 2.000462,-1.161816 2.236068,-0.593012 2.236068,0 c 0,0.593012 -0.235606,1.161816 -0.654929,1.581139 C 1.161816,2.000462 0.593012,2.236068 0,2.236068 c -0.593012,0 -1.161816,-0.235606 -1.581139,-0.654929 C -2.000462,1.161816 -2.236068,0.593012 -2.236068,0 c 0,-0.593012 0.235606,-1.161816 0.654929,-1.581139 C -1.161816,-2.000462 -0.593012,-2.236068 0,-2.236068 Z" />
+ </g>
+ </g>
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ transform="translate(-77.607096,7.7983055)"
+ id="g25386">
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ id="g25388">
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ clip-path="url(#clipPath25394-5)"
+ id="g25390">
+ <path
+ inkscape:connector-curvature="0"
+ id="path25396"
+ style="fill:#ffca00;fill-opacity:1;fill-rule:nonzero;stroke:none;stroke-width:1.13305926;stroke-linecap:butt;stroke-linejoin:round;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ d="m 0,-2.236068 c 0.593012,0 1.161816,0.235606 1.581139,0.654929 C 2.000462,-1.161816 2.236068,-0.593012 2.236068,0 c 0,0.593012 -0.235606,1.161816 -0.654929,1.581139 C 1.161816,2.000462 0.593012,2.236068 0,2.236068 c -0.593012,0 -1.161816,-0.235606 -1.581139,-0.654929 C -2.000462,1.161816 -2.236068,0.593012 -2.236068,0 c 0,-0.593012 0.235606,-1.161816 0.654929,-1.581139 C -1.161816,-2.000462 -0.593012,-2.236068 0,-2.236068 Z" />
+ </g>
+ </g>
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ transform="translate(51.738064,33.26216)"
+ id="g25398">
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ id="g25400">
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ clip-path="url(#clipPath25406-0)"
+ id="g25402">
+ <path
+ inkscape:connector-curvature="0"
+ id="path25408"
+ style="fill:#ffca00;fill-opacity:1;fill-rule:nonzero;stroke:none;stroke-width:1.13305926;stroke-linecap:butt;stroke-linejoin:round;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ d="m 0,-2.236068 c 0.593012,0 1.161816,0.235606 1.581139,0.654929 C 2.000462,-1.161816 2.236068,-0.593012 2.236068,0 c 0,0.593012 -0.235606,1.161816 -0.654929,1.581139 C 1.161816,2.000462 0.593012,2.236068 0,2.236068 c -0.593012,0 -1.161816,-0.235606 -1.581139,-0.654929 C -2.000462,1.161816 -2.236068,0.593012 -2.236068,0 c 0,-0.593012 0.235606,-1.161816 0.654929,-1.581139 C -1.161816,-2.000462 -0.593012,-2.236068 0,-2.236068 Z" />
+ </g>
+ </g>
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ transform="translate(-30.180537,-37.501313)"
+ id="g25410">
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ id="g25412">
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ clip-path="url(#clipPath25418-1)"
+ id="g25414">
+ <path
+ inkscape:connector-curvature="0"
+ id="path25420"
+ style="fill:#ffca00;fill-opacity:1;fill-rule:nonzero;stroke:none;stroke-width:1.13305926;stroke-linecap:butt;stroke-linejoin:round;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ d="m 0,-2.236068 c 0.593012,0 1.161816,0.235606 1.581139,0.654929 C 2.000462,-1.161816 2.236068,-0.593012 2.236068,0 c 0,0.593012 -0.235606,1.161816 -0.654929,1.581139 C 1.161816,2.000462 0.593012,2.236068 0,2.236068 c -0.593012,0 -1.161816,-0.235606 -1.581139,-0.654929 C -2.000462,1.161816 -2.236068,0.593012 -2.236068,0 c 0,-0.593012 0.235606,-1.161816 0.654929,-1.581139 C -1.161816,-2.000462 -0.593012,-2.236068 0,-2.236068 Z" />
+ </g>
+ </g>
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ transform="translate(4.3115053,0.10609939)"
+ id="g25422">
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ id="g25424">
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ clip-path="url(#clipPath25430-9)"
+ id="g25426">
+ <path
+ inkscape:connector-curvature="0"
+ id="path25432"
+ style="fill:#ffca00;fill-opacity:1;fill-rule:nonzero;stroke:none;stroke-width:1.13305926;stroke-linecap:butt;stroke-linejoin:round;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ d="m 0,-2.236068 c 0.593012,0 1.161816,0.235606 1.581139,0.654929 C 2.000462,-1.161816 2.236068,-0.593012 2.236068,0 c 0,0.593012 -0.235606,1.161816 -0.654929,1.581139 C 1.161816,2.000462 0.593012,2.236068 0,2.236068 c -0.593012,0 -1.161816,-0.235606 -1.581139,-0.654929 C -2.000462,1.161816 -2.236068,0.593012 -2.236068,0 c 0,-0.593012 0.235606,-1.161816 0.654929,-1.581139 C -1.161816,-2.000462 -0.593012,-2.236068 0,-2.236068 Z" />
+ </g>
+ </g>
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ transform="translate(34.492042,-0.60766017)"
+ id="g25434">
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ id="g25436">
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ clip-path="url(#clipPath25442-8)"
+ id="g25438">
+ <path
+ inkscape:connector-curvature="0"
+ id="path25444"
+ style="fill:#ffca00;fill-opacity:1;fill-rule:nonzero;stroke:none;stroke-width:1.13305926;stroke-linecap:butt;stroke-linejoin:round;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ d="m 0,-2.236068 c 0.593012,0 1.161816,0.235606 1.581139,0.654929 C 2.000462,-1.161816 2.236068,-0.593012 2.236068,0 c 0,0.593012 -0.235606,1.161816 -0.654929,1.581139 C 1.161816,2.000462 0.593012,2.236068 0,2.236068 c -0.593012,0 -1.161816,-0.235606 -1.581139,-0.654929 C -2.000462,1.161816 -2.236068,0.593012 -2.236068,0 c 0,-0.593012 0.235606,-1.161816 0.654929,-1.581139 C -1.161816,-2.000462 -0.593012,-2.236068 0,-2.236068 Z" />
+ </g>
+ </g>
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ transform="translate(-4.3115053,18.933919)"
+ id="g25446">
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ id="g25448">
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ clip-path="url(#clipPath25454-5)"
+ id="g25450">
+ <path
+ inkscape:connector-curvature="0"
+ id="path25456"
+ style="fill:#ffca00;fill-opacity:1;fill-rule:nonzero;stroke:none;stroke-width:1.13305926;stroke-linecap:butt;stroke-linejoin:round;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ d="m 0,-2.236068 c 0.593012,0 1.161816,0.235606 1.581139,0.654929 C 2.000462,-1.161816 2.236068,-0.593012 2.236068,0 c 0,0.593012 -0.235606,1.161816 -0.654929,1.581139 C 1.161816,2.000462 0.593012,2.236068 0,2.236068 c -0.593012,0 -1.161816,-0.235606 -1.581139,-0.654929 C -2.000462,1.161816 -2.236068,0.593012 -2.236068,0 c 0,-0.593012 0.235606,-1.161816 0.654929,-1.581139 C -1.161816,-2.000462 -0.593012,-2.236068 0,-2.236068 Z" />
+ </g>
+ </g>
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ transform="translate(-43.115053,-18.961235)"
+ id="g25458">
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ id="g25460">
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ clip-path="url(#clipPath25466-4)"
+ id="g25462">
+ <path
+ inkscape:connector-curvature="0"
+ id="path25468"
+ style="fill:#ffca00;fill-opacity:1;fill-rule:nonzero;stroke:none;stroke-width:1.13305926;stroke-linecap:butt;stroke-linejoin:round;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ d="m 0,-2.236068 c 0.593012,0 1.161816,0.235606 1.581139,0.654929 C 2.000462,-1.161816 2.236068,-0.593012 2.236068,0 c 0,0.593012 -0.235606,1.161816 -0.654929,1.581139 C 1.161816,2.000462 0.593012,2.236068 0,2.236068 c -0.593012,0 -1.161816,-0.235606 -1.581139,-0.654929 C -2.000462,1.161816 -2.236068,0.593012 -2.236068,0 c 0,-0.593012 0.235606,-1.161816 0.654929,-1.581139 C -1.161816,-2.000462 -0.593012,-2.236068 0,-2.236068 Z" />
+ </g>
+ </g>
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ transform="translate(189.70623,-0.04020203)"
+ id="g25470">
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ id="g25472">
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ clip-path="url(#clipPath25478-0)"
+ id="g25474" />
+ </g>
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ transform="translate(-129.34516,17.496755)"
+ id="g25482">
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ id="g25484">
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ clip-path="url(#clipPath25490-0)"
+ id="g25486">
+ <path
+ inkscape:connector-curvature="0"
+ id="path25492"
+ style="fill:#ffca00;fill-opacity:1;fill-rule:nonzero;stroke:none;stroke-width:1.13305926;stroke-linecap:butt;stroke-linejoin:round;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ d="m 0,-2.236068 c 0.593012,0 1.161816,0.235606 1.581139,0.654929 C 2.000462,-1.161816 2.236068,-0.593012 2.236068,0 c 0,0.593012 -0.235606,1.161816 -0.654929,1.581139 C 1.161816,2.000462 0.593012,2.236068 0,2.236068 c -0.593012,0 -1.161816,-0.235606 -1.581139,-0.654929 C -2.000462,1.161816 -2.236068,0.593012 -2.236068,0 c 0,-0.593012 0.235606,-1.161816 0.654929,-1.581139 C -1.161816,-2.000462 -0.593012,-2.236068 0,-2.236068 Z" />
+ </g>
+ </g>
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ transform="translate(23.713279,-17.496755)"
+ id="g25494">
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ id="g25496">
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ clip-path="url(#clipPath25502-9)"
+ id="g25498">
+ <path
+ inkscape:connector-curvature="0"
+ id="path25504"
+ style="fill:#ffca00;fill-opacity:1;fill-rule:nonzero;stroke:none;stroke-width:1.13305926;stroke-linecap:butt;stroke-linejoin:round;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ d="m 0,-2.236068 c 0.593012,0 1.161816,0.235606 1.581139,0.654929 C 2.000462,-1.161816 2.236068,-0.593012 2.236068,0 c 0,0.593012 -0.235606,1.161816 -0.654929,1.581139 C 1.161816,2.000462 0.593012,2.236068 0,2.236068 c -0.593012,0 -1.161816,-0.235606 -1.581139,-0.654929 C -2.000462,1.161816 -2.236068,0.593012 -2.236068,0 c 0,-0.593012 0.235606,-1.161816 0.654929,-1.581139 C -1.161816,-2.000462 -0.593012,-2.236068 0,-2.236068 Z" />
+ </g>
+ </g>
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ transform="translate(-84.074354,-0.00644313)"
+ id="g25506">
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ id="g25508">
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ clip-path="url(#clipPath25514-2)"
+ id="g25510">
+ <path
+ inkscape:connector-curvature="0"
+ id="path25516"
+ style="fill:#ffca00;fill-opacity:1;fill-rule:nonzero;stroke:none;stroke-width:1.13305926;stroke-linecap:butt;stroke-linejoin:round;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ d="m 0,-2.236068 c 0.593012,0 1.161816,0.235606 1.581139,0.654929 C 2.000462,-1.161816 2.236068,-0.593012 2.236068,0 c 0,0.593012 -0.235606,1.161816 -0.654929,1.581139 C 1.161816,2.000462 0.593012,2.236068 0,2.236068 c -0.593012,0 -1.161816,-0.235606 -1.581139,-0.654929 C -2.000462,1.161816 -2.236068,0.593012 -2.236068,0 c 0,-0.593012 0.235606,-1.161816 0.654929,-1.581139 C -1.161816,-2.000462 -0.593012,-2.236068 0,-2.236068 Z" />
+ </g>
+ </g>
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ transform="translate(-8.6230106,7.0475848)"
+ id="g25518">
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ id="g25520">
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ clip-path="url(#clipPath25526-2)"
+ id="g25522">
+ <path
+ inkscape:connector-curvature="0"
+ id="path25528"
+ style="fill:#ffca00;fill-opacity:1;fill-rule:nonzero;stroke:none;stroke-width:1.13305926;stroke-linecap:butt;stroke-linejoin:round;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ d="m 0,-2.236068 c 0.593012,0 1.161816,0.235606 1.581139,0.654929 C 2.000462,-1.161816 2.236068,-0.593012 2.236068,0 c 0,0.593012 -0.235606,1.161816 -0.654929,1.581139 C 1.161816,2.000462 0.593012,2.236068 0,2.236068 c -0.593012,0 -1.161816,-0.235606 -1.581139,-0.654929 C -2.000462,1.161816 -2.236068,0.593012 -2.236068,0 c 0,-0.593012 0.235606,-1.161816 0.654929,-1.581139 C -1.161816,-2.000462 -0.593012,-2.236068 0,-2.236068 Z" />
+ </g>
+ </g>
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ transform="translate(81.918601,17.471021)"
+ id="g25530">
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ id="g25532">
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ clip-path="url(#clipPath25538-7)"
+ id="g25534">
+ <path
+ inkscape:connector-curvature="0"
+ id="path25540"
+ style="fill:#ffca00;fill-opacity:1;fill-rule:nonzero;stroke:none;stroke-width:1.13305926;stroke-linecap:butt;stroke-linejoin:round;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ d="m 0,-2.236068 c 0.593012,0 1.161816,0.235606 1.581139,0.654929 C 2.000462,-1.161816 2.236068,-0.593012 2.236068,0 c 0,0.593012 -0.235606,1.161816 -0.654929,1.581139 C 1.161816,2.000462 0.593012,2.236068 0,2.236068 c -0.593012,0 -1.161816,-0.235606 -1.581139,-0.654929 C -2.000462,1.161816 -2.236068,0.593012 -2.236068,0 c 0,-0.593012 0.235606,-1.161816 0.654929,-1.581139 C -1.161816,-2.000462 -0.593012,-2.236068 0,-2.236068 Z" />
+ </g>
+ </g>
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ transform="translate(-34.492042,-18.18478)"
+ id="g25542">
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ id="g25544">
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ clip-path="url(#clipPath25550-1)"
+ id="g25546">
+ <path
+ inkscape:connector-curvature="0"
+ id="path25552"
+ style="fill:#ffca00;fill-opacity:1;fill-rule:nonzero;stroke:none;stroke-width:1.13305926;stroke-linecap:butt;stroke-linejoin:round;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ d="m 0,-2.236068 c 0.593012,0 1.161816,0.235606 1.581139,0.654929 C 2.000462,-1.161816 2.236068,-0.593012 2.236068,0 c 0,0.593012 -0.235606,1.161816 -0.654929,1.581139 C 1.161816,2.000462 0.593012,2.236068 0,2.236068 c -0.593012,0 -1.161816,-0.235606 -1.581139,-0.654929 C -2.000462,1.161816 -2.236068,0.593012 -2.236068,0 c 0,-0.593012 0.235606,-1.161816 0.654929,-1.581139 C -1.161816,-2.000462 -0.593012,-2.236068 0,-2.236068 Z" />
+ </g>
+ </g>
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ transform="translate(17.246021,-3.7617058)"
+ id="g25554">
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ id="g25556">
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ clip-path="url(#clipPath25562-9)"
+ id="g25558">
+ <path
+ inkscape:connector-curvature="0"
+ id="path25564"
+ style="fill:#ffca00;fill-opacity:1;fill-rule:nonzero;stroke:none;stroke-width:1.13305926;stroke-linecap:butt;stroke-linejoin:round;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ d="m 0,-2.236068 c 0.593012,0 1.161816,0.235606 1.581139,0.654929 C 2.000462,-1.161816 2.236068,-0.593012 2.236068,0 c 0,0.593012 -0.235606,1.161816 -0.654929,1.581139 C 1.161816,2.000462 0.593012,2.236068 0,2.236068 c -0.593012,0 -1.161816,-0.235606 -1.581139,-0.654929 C -2.000462,1.161816 -2.236068,0.593012 -2.236068,0 c 0,-0.593012 0.235606,-1.161816 0.654929,-1.581139 C -1.161816,-2.000462 -0.593012,-2.236068 0,-2.236068 Z" />
+ </g>
+ </g>
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ transform="translate(28.024785,0.0385816)"
+ id="g25566">
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ id="g25568">
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ clip-path="url(#clipPath25574-5)"
+ id="g25570">
+ <path
+ inkscape:connector-curvature="0"
+ id="path25576"
+ style="fill:#ffca00;fill-opacity:1;fill-rule:nonzero;stroke:none;stroke-width:1.13305926;stroke-linecap:butt;stroke-linejoin:round;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ d="m 0,-2.236068 c 0.593012,0 1.161816,0.235606 1.581139,0.654929 C 2.000462,-1.161816 2.236068,-0.593012 2.236068,0 c 0,0.593012 -0.235606,1.161816 -0.654929,1.581139 C 1.161816,2.000462 0.593012,2.236068 0,2.236068 c -0.593012,0 -1.161816,-0.235606 -1.581139,-0.654929 C -2.000462,1.161816 -2.236068,0.593012 -2.236068,0 c 0,-0.593012 0.235606,-1.161816 0.654929,-1.581139 C -1.161816,-2.000462 -0.593012,-2.236068 0,-2.236068 Z" />
+ </g>
+ </g>
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ transform="translate(-165.99295,2.5367401)"
+ id="g25578">
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ id="g25580">
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ clip-path="url(#clipPath25586-7)"
+ id="g25582" />
+ </g>
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ transform="translate(146.59118,2.5753217)"
+ id="g25590">
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ id="g25592">
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ clip-path="url(#clipPath25598-4)"
+ id="g25594">
+ <path
+ inkscape:connector-curvature="0"
+ id="path25600"
+ style="fill:#ffca00;fill-opacity:1;fill-rule:nonzero;stroke:none;stroke-width:1.13305926;stroke-linecap:butt;stroke-linejoin:round;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ d="m 0,-2.236068 c 0.593012,0 1.161816,0.235606 1.581139,0.654929 C 2.000462,-1.161816 2.236068,-0.593012 2.236068,0 c 0,0.593012 -0.235606,1.161816 -0.654929,1.581139 C 1.161816,2.000462 0.593012,2.236068 0,2.236068 c -0.593012,0 -1.161816,-0.235606 -1.581139,-0.654929 C -2.000462,1.161816 -2.236068,0.593012 -2.236068,0 c 0,-0.593012 0.235606,-1.161816 0.654929,-1.581139 C -1.161816,-2.000462 -0.593012,-2.236068 0,-2.236068 Z" />
+ </g>
+ </g>
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ transform="translate(-64.67258,-7.6986492)"
+ id="g25602">
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ id="g25604">
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ clip-path="url(#clipPath25610-6)"
+ id="g25606">
+ <path
+ inkscape:connector-curvature="0"
+ id="path25612"
+ style="fill:#ffca00;fill-opacity:1;fill-rule:nonzero;stroke:none;stroke-width:1.13305926;stroke-linecap:butt;stroke-linejoin:round;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ d="m 0,-2.236068 c 0.593012,0 1.161816,0.235606 1.581139,0.654929 C 2.000462,-1.161816 2.236068,-0.593012 2.236068,0 c 0,0.593012 -0.235606,1.161816 -0.654929,1.581139 C 1.161816,2.000462 0.593012,2.236068 0,2.236068 c -0.593012,0 -1.161816,-0.235606 -1.581139,-0.654929 C -2.000462,1.161816 -2.236068,0.593012 -2.236068,0 c 0,-0.593012 0.235606,-1.161816 0.654929,-1.581139 C -1.161816,-2.000462 -0.593012,-2.236068 0,-2.236068 Z" />
+ </g>
+ </g>
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ transform="translate(12.934516,-0.28774156)"
+ id="g25614">
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ id="g25616">
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ clip-path="url(#clipPath25622-7)"
+ id="g25618">
+ <path
+ inkscape:connector-curvature="0"
+ id="path25624"
+ style="fill:#ffca00;fill-opacity:1;fill-rule:nonzero;stroke:none;stroke-width:1.13305926;stroke-linecap:butt;stroke-linejoin:round;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ d="m 0,-2.236068 c 0.593012,0 1.161816,0.235606 1.581139,0.654929 C 2.000462,-1.161816 2.236068,-0.593012 2.236068,0 c 0,0.593012 -0.235606,1.161816 -0.654929,1.581139 C 1.161816,2.000462 0.593012,2.236068 0,2.236068 c -0.593012,0 -1.161816,-0.235606 -1.581139,-0.654929 C -2.000462,1.161816 -2.236068,0.593012 -2.236068,0 c 0,-0.593012 0.235606,-1.161816 0.654929,-1.581139 C -1.161816,-2.000462 -0.593012,-2.236068 0,-2.236068 Z" />
+ </g>
+ </g>
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ transform="translate(0,24.017045)"
+ id="g25626">
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ id="g25628">
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ clip-path="url(#clipPath25634-8)"
+ id="g25630">
+ <path
+ inkscape:connector-curvature="0"
+ id="path25636"
+ style="fill:#ffca00;fill-opacity:1;fill-rule:nonzero;stroke:none;stroke-width:1.13305926;stroke-linecap:butt;stroke-linejoin:round;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ d="m 0,-2.236068 c 0.593012,0 1.161816,0.235606 1.581139,0.654929 C 2.000462,-1.161816 2.236068,-0.593012 2.236068,0 c 0,0.593012 -0.235606,1.161816 -0.654929,1.581139 C 1.161816,2.000462 0.593012,2.236068 0,2.236068 c -0.593012,0 -1.161816,-0.235606 -1.581139,-0.654929 C -2.000462,1.161816 -2.236068,0.593012 -2.236068,0 c 0,-0.593012 0.235606,-1.161816 0.654929,-1.581139 C -1.161816,-2.000462 -0.593012,-2.236068 0,-2.236068 Z" />
+ </g>
+ </g>
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ transform="translate(-12.934516,-23.939882)"
+ id="g25638">
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ id="g25640">
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ clip-path="url(#clipPath25646-8)"
+ id="g25642">
+ <path
+ inkscape:connector-curvature="0"
+ id="path25648"
+ style="fill:#ffca00;fill-opacity:1;fill-rule:nonzero;stroke:none;stroke-width:1.13305926;stroke-linecap:butt;stroke-linejoin:round;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ d="m 0,-2.236068 c 0.593012,0 1.161816,0.235606 1.581139,0.654929 C 2.000462,-1.161816 2.236068,-0.593012 2.236068,0 c 0,0.593012 -0.235606,1.161816 -0.654929,1.581139 C 1.161816,2.000462 0.593012,2.236068 0,2.236068 c -0.593012,0 -1.161816,-0.235606 -1.581139,-0.654929 C -2.000462,1.161816 -2.236068,0.593012 -2.236068,0 c 0,-0.593012 0.235606,-1.161816 0.654929,-1.581139 C -1.161816,-2.000462 -0.593012,-2.236068 0,-2.236068 Z" />
+ </g>
+ </g>
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ transform="translate(107.78763,27.75946)"
+ id="g25650">
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ id="g25652">
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ clip-path="url(#clipPath25658-6)"
+ id="g25654">
+ <path
+ inkscape:connector-curvature="0"
+ id="path25660"
+ style="fill:#ffca00;fill-opacity:1;fill-rule:nonzero;stroke:none;stroke-width:1.13305926;stroke-linecap:butt;stroke-linejoin:round;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ d="m 0,-2.236068 c 0.593012,0 1.161816,0.235606 1.581139,0.654929 C 2.000462,-1.161816 2.236068,-0.593012 2.236068,0 c 0,0.593012 -0.235606,1.161816 -0.654929,1.581139 C 1.161816,2.000462 0.593012,2.236068 0,2.236068 c -0.593012,0 -1.161816,-0.235606 -1.581139,-0.654929 C -2.000462,1.161816 -2.236068,0.593012 -2.236068,0 c 0,-0.593012 0.235606,-1.161816 0.654929,-1.581139 C -1.161816,-2.000462 -0.593012,-2.236068 0,-2.236068 Z" />
+ </g>
+ </g>
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ transform="translate(-34.492042,28.651659)"
+ id="g25662">
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ id="g25664">
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ clip-path="url(#clipPath25670-6)"
+ id="g25666">
+ <path
+ inkscape:connector-curvature="0"
+ id="path25672"
+ style="fill:#ffca00;fill-opacity:1;fill-rule:nonzero;stroke:none;stroke-width:1.13305926;stroke-linecap:butt;stroke-linejoin:round;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ d="m 0,-2.236068 c 0.593012,0 1.161816,0.235606 1.581139,0.654929 C 2.000462,-1.161816 2.236068,-0.593012 2.236068,0 c 0,0.593012 -0.235606,1.161816 -0.654929,1.581139 C 1.161816,2.000462 0.593012,2.236068 0,2.236068 c -0.593012,0 -1.161816,-0.235606 -1.581139,-0.654929 C -2.000462,1.161816 -2.236068,0.593012 -2.236068,0 c 0,-0.593012 0.235606,-1.161816 0.654929,-1.581139 C -1.161816,-2.000462 -0.593012,-2.236068 0,-2.236068 Z" />
+ </g>
+ </g>
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ transform="translate(-56.049569,-56.221413)"
+ id="g25674">
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ id="g25676">
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ clip-path="url(#clipPath25682-4)"
+ id="g25678">
+ <path
+ inkscape:connector-curvature="0"
+ id="path25684"
+ style="fill:#ffca00;fill-opacity:1;fill-rule:nonzero;stroke:none;stroke-width:1.13305926;stroke-linecap:butt;stroke-linejoin:round;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ d="m 0,-2.236068 c 0.593012,0 1.161816,0.235606 1.581139,0.654929 C 2.000462,-1.161816 2.236068,-0.593012 2.236068,0 c 0,0.593012 -0.235606,1.161816 -0.654929,1.581139 C 1.161816,2.000462 0.593012,2.236068 0,2.236068 c -0.593012,0 -1.161816,-0.235606 -1.581139,-0.654929 C -2.000462,1.161816 -2.236068,0.593012 -2.236068,0 c 0,-0.593012 0.235606,-1.161816 0.654929,-1.581139 C -1.161816,-2.000462 -0.593012,-2.236068 0,-2.236068 Z" />
+ </g>
+ </g>
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ transform="translate(-51.738064,-0.19773069)"
+ id="g25686">
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ id="g25688">
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ clip-path="url(#clipPath25694-2)"
+ id="g25690" />
+ </g>
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ transform="translate(56.049569,7.2420746)"
+ id="g25698">
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ id="g25700">
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ clip-path="url(#clipPath25706-9)"
+ id="g25702">
+ <path
+ inkscape:connector-curvature="0"
+ id="path25708"
+ style="fill:#ffca00;fill-opacity:1;fill-rule:nonzero;stroke:none;stroke-width:1.13305926;stroke-linecap:butt;stroke-linejoin:round;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ d="m 0,-2.236068 c 0.593012,0 1.161816,0.235606 1.581139,0.654929 C 2.000462,-1.161816 2.236068,-0.593012 2.236068,0 c 0,0.593012 -0.235606,1.161816 -0.654929,1.581139 C 1.161816,2.000462 0.593012,2.236068 0,2.236068 c -0.593012,0 -1.161816,-0.235606 -1.581139,-0.654929 C -2.000462,1.161816 -2.236068,0.593012 -2.236068,0 c 0,-0.593012 0.235606,-1.161816 0.654929,-1.581139 C -1.161816,-2.000462 -0.593012,-2.236068 0,-2.236068 Z" />
+ </g>
+ </g>
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ transform="translate(43.115053,20.390375)"
+ id="g25710">
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ id="g25712">
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ clip-path="url(#clipPath25718-0)"
+ id="g25714">
+ <path
+ inkscape:connector-curvature="0"
+ id="path25720"
+ style="fill:#ffca00;fill-opacity:1;fill-rule:nonzero;stroke:none;stroke-width:1.13305926;stroke-linecap:butt;stroke-linejoin:round;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ d="m 0,-2.236068 c 0.593012,0 1.161816,0.235606 1.581139,0.654929 C 2.000462,-1.161816 2.236068,-0.593012 2.236068,0 c 0,0.593012 -0.235606,1.161816 -0.654929,1.581139 C 1.161816,2.000462 0.593012,2.236068 0,2.236068 c -0.593012,0 -1.161816,-0.235606 -1.581139,-0.654929 C -2.000462,1.161816 -2.236068,0.593012 -2.236068,0 c 0,-0.593012 0.235606,-1.161816 0.654929,-1.581139 C -1.161816,-2.000462 -0.593012,-2.236068 0,-2.236068 Z" />
+ </g>
+ </g>
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ transform="translate(-38.803548,-25.608536)"
+ id="g25722">
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ id="g25724">
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ clip-path="url(#clipPath25730-0)"
+ id="g25726">
+ <path
+ inkscape:connector-curvature="0"
+ id="path25732"
+ style="fill:#ffca00;fill-opacity:1;fill-rule:nonzero;stroke:none;stroke-width:1.13305926;stroke-linecap:butt;stroke-linejoin:round;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ d="m 0,-2.236068 c 0.593012,0 1.161816,0.235606 1.581139,0.654929 C 2.000462,-1.161816 2.236068,-0.593012 2.236068,0 c 0,0.593012 -0.235606,1.161816 -0.654929,1.581139 C 1.161816,2.000462 0.593012,2.236068 0,2.236068 c -0.593012,0 -1.161816,-0.235606 -1.581139,-0.654929 C -2.000462,1.161816 -2.236068,0.593012 -2.236068,0 c 0,-0.593012 0.235606,-1.161816 0.654929,-1.581139 C -1.161816,-2.000462 -0.593012,-2.236068 0,-2.236068 Z" />
+ </g>
+ </g>
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ transform="translate(4.3115053,5.4303599)"
+ id="g25734">
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ id="g25736">
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ clip-path="url(#clipPath25742-0)"
+ id="g25738">
+ <path
+ inkscape:connector-curvature="0"
+ id="path25744"
+ style="fill:#ffca00;fill-opacity:1;fill-rule:nonzero;stroke:none;stroke-width:1.13305926;stroke-linecap:butt;stroke-linejoin:round;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ d="m 0,-2.236068 c 0.593012,0 1.161816,0.235606 1.581139,0.654929 C 2.000462,-1.161816 2.236068,-0.593012 2.236068,0 c 0,0.593012 -0.235606,1.161816 -0.654929,1.581139 C 1.161816,2.000462 0.593012,2.236068 0,2.236068 c -0.593012,0 -1.161816,-0.235606 -1.581139,-0.654929 C -2.000462,1.161816 -2.236068,0.593012 -2.236068,0 c 0,-0.593012 0.235606,-1.161816 0.654929,-1.581139 C -1.161816,-2.000462 -0.593012,-2.236068 0,-2.236068 Z" />
+ </g>
+ </g>
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ transform="translate(30.180537,-0.21219879)"
+ id="g25746">
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ id="g25748">
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ clip-path="url(#clipPath25754-3)"
+ id="g25750">
+ <path
+ inkscape:connector-curvature="0"
+ id="path25756"
+ style="fill:#ffca00;fill-opacity:1;fill-rule:nonzero;stroke:none;stroke-width:1.13305926;stroke-linecap:butt;stroke-linejoin:round;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ d="m 0,-2.236068 c 0.593012,0 1.161816,0.235606 1.581139,0.654929 C 2.000462,-1.161816 2.236068,-0.593012 2.236068,0 c 0,0.593012 -0.235606,1.161816 -0.654929,1.581139 C 1.161816,2.000462 0.593012,2.236068 0,2.236068 c -0.593012,0 -1.161816,-0.235606 -1.581139,-0.654929 C -2.000462,1.161816 -2.236068,0.593012 -2.236068,0 c 0,-0.593012 0.235606,-1.161816 0.654929,-1.581139 C -1.161816,-2.000462 -0.593012,-2.236068 0,-2.236068 Z" />
+ </g>
+ </g>
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ transform="translate(-43.115053,6.0107043)"
+ id="g25758">
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ id="g25760">
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ clip-path="url(#clipPath25766-7)"
+ id="g25762">
+ <path
+ inkscape:connector-curvature="0"
+ id="path25768"
+ style="fill:#ffca00;fill-opacity:1;fill-rule:nonzero;stroke:none;stroke-width:1.13305926;stroke-linecap:butt;stroke-linejoin:round;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ d="m 0,-2.236068 c 0.593012,0 1.161816,0.235606 1.581139,0.654929 C 2.000462,-1.161816 2.236068,-0.593012 2.236068,0 c 0,0.593012 -0.235606,1.161816 -0.654929,1.581139 C 1.161816,2.000462 0.593012,2.236068 0,2.236068 c -0.593012,0 -1.161816,-0.235606 -1.581139,-0.654929 C -2.000462,1.161816 -2.236068,0.593012 -2.236068,0 c 0,-0.593012 0.235606,-1.161816 0.654929,-1.581139 C -1.161816,-2.000462 -0.593012,-2.236068 0,-2.236068 Z" />
+ </g>
+ </g>
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ transform="translate(30.180537,5.7550626)"
+ id="g25770">
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ id="g25772">
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ clip-path="url(#clipPath25778-6)"
+ id="g25774">
+ <path
+ inkscape:connector-curvature="0"
+ id="path25780"
+ style="fill:#ffca00;fill-opacity:1;fill-rule:nonzero;stroke:none;stroke-width:1.13305926;stroke-linecap:butt;stroke-linejoin:round;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ d="m 0,-2.236068 c 0.593012,0 1.161816,0.235606 1.581139,0.654929 C 2.000462,-1.161816 2.236068,-0.593012 2.236068,0 c 0,0.593012 -0.235606,1.161816 -0.654929,1.581139 C 1.161816,2.000462 0.593012,2.236068 0,2.236068 c -0.593012,0 -1.161816,-0.235606 -1.581139,-0.654929 C -2.000462,1.161816 -2.236068,0.593012 -2.236068,0 c 0,-0.593012 0.235606,-1.161816 0.654929,-1.581139 C -1.161816,-2.000462 -0.593012,-2.236068 0,-2.236068 Z" />
+ </g>
+ </g>
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ transform="translate(-112.09914,-9.0650551)"
+ id="g25782">
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ id="g25784">
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ clip-path="url(#clipPath25790-5)"
+ id="g25786" />
+ </g>
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ transform="translate(73.29559,11.712717)"
+ id="g25794">
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ id="g25796">
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ clip-path="url(#clipPath25802-0)"
+ id="g25798">
+ <path
+ inkscape:connector-curvature="0"
+ id="path25804"
+ style="fill:#ffca00;fill-opacity:1;fill-rule:nonzero;stroke:none;stroke-width:1.13305926;stroke-linecap:butt;stroke-linejoin:round;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ d="m 0,-2.236068 c 0.593012,0 1.161816,0.235606 1.581139,0.654929 C 2.000462,-1.161816 2.236068,-0.593012 2.236068,0 c 0,0.593012 -0.235606,1.161816 -0.654929,1.581139 C 1.161816,2.000462 0.593012,2.236068 0,2.236068 c -0.593012,0 -1.161816,-0.235606 -1.581139,-0.654929 C -2.000462,1.161816 -2.236068,0.593012 -2.236068,0 c 0,-0.593012 0.235606,-1.161816 0.654929,-1.581139 C -1.161816,-2.000462 -0.593012,-2.236068 0,-2.236068 Z" />
+ </g>
+ </g>
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ transform="translate(-17.246021,-21.338826)"
+ id="g25806">
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ id="g25808">
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ clip-path="url(#clipPath25814-9)"
+ id="g25810">
+ <path
+ inkscape:connector-curvature="0"
+ id="path25816"
+ style="fill:#ffca00;fill-opacity:1;fill-rule:nonzero;stroke:none;stroke-width:1.13305926;stroke-linecap:butt;stroke-linejoin:round;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ d="m 0,-2.236068 c 0.593012,0 1.161816,0.235606 1.581139,0.654929 C 2.000462,-1.161816 2.236068,-0.593012 2.236068,0 c 0,0.593012 -0.235606,1.161816 -0.654929,1.581139 C 1.161816,2.000462 0.593012,2.236068 0,2.236068 c -0.593012,0 -1.161816,-0.235606 -1.581139,-0.654929 C -2.000462,1.161816 -2.236068,0.593012 -2.236068,0 c 0,-0.593012 0.235606,-1.161816 0.654929,-1.581139 C -1.161816,-2.000462 -0.593012,-2.236068 0,-2.236068 Z" />
+ </g>
+ </g>
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ transform="translate(64.67258,9.4332007)"
+ id="g25818">
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ id="g25820">
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ clip-path="url(#clipPath25826-9)"
+ id="g25822">
+ <path
+ inkscape:connector-curvature="0"
+ id="path25828"
+ style="fill:#ffca00;fill-opacity:1;fill-rule:nonzero;stroke:none;stroke-width:1.13305926;stroke-linecap:butt;stroke-linejoin:round;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ d="m 0,-2.236068 c 0.593012,0 1.161816,0.235606 1.581139,0.654929 C 2.000462,-1.161816 2.236068,-0.593012 2.236068,0 c 0,0.593012 -0.235606,1.161816 -0.654929,1.581139 C 1.161816,2.000462 0.593012,2.236068 0,2.236068 c -0.593012,0 -1.161816,-0.235606 -1.581139,-0.654929 C -2.000462,1.161816 -2.236068,0.593012 -2.236068,0 c 0,-0.593012 0.235606,-1.161816 0.654929,-1.581139 C -1.161816,-2.000462 -0.593012,-2.236068 0,-2.236068 Z" />
+ </g>
+ </g>
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ transform="translate(25.869032,-1.8438917)"
+ id="g25830">
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ id="g25832">
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ clip-path="url(#clipPath25838-4)"
+ id="g25834">
+ <path
+ inkscape:connector-curvature="0"
+ id="path25840"
+ style="fill:#ffca00;fill-opacity:1;fill-rule:nonzero;stroke:none;stroke-width:1.13305926;stroke-linecap:butt;stroke-linejoin:round;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ d="m 0,-2.236068 c 0.593012,0 1.161816,0.235606 1.581139,0.654929 C 2.000462,-1.161816 2.236068,-0.593012 2.236068,0 c 0,0.593012 -0.235606,1.161816 -0.654929,1.581139 C 1.161816,2.000462 0.593012,2.236068 0,2.236068 c -0.593012,0 -1.161816,-0.235606 -1.581139,-0.654929 C -2.000462,1.161816 -2.236068,0.593012 -2.236068,0 c 0,-0.593012 0.235606,-1.161816 0.654929,-1.581139 C -1.161816,-2.000462 -0.593012,-2.236068 0,-2.236068 Z" />
+ </g>
+ </g>
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ transform="translate(133.65666,2.6750165)"
+ id="g25842">
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ id="g25844">
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ clip-path="url(#clipPath25850-1)"
+ id="g25846" />
+ </g>
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ transform="translate(-206.95225,-8.3545364)"
+ id="g25854">
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ id="g25856">
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ clip-path="url(#clipPath25862-3)"
+ id="g25858">
+ <path
+ inkscape:connector-curvature="0"
+ id="path25864"
+ style="fill:#ffca00;fill-opacity:1;fill-rule:nonzero;stroke:none;stroke-width:1.13305926;stroke-linecap:butt;stroke-linejoin:round;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ d="m 0,-2.236068 c 0.593012,0 1.161816,0.235606 1.581139,0.654929 C 2.000462,-1.161816 2.236068,-0.593012 2.236068,0 c 0,0.593012 -0.235606,1.161816 -0.654929,1.581139 C 1.161816,2.000462 0.593012,2.236068 0,2.236068 c -0.593012,0 -1.161816,-0.235606 -1.581139,-0.654929 C -2.000462,1.161816 -2.236068,0.593012 -2.236068,0 c 0,-0.593012 0.235606,-1.161816 0.654929,-1.581139 C -1.161816,-2.000462 -0.593012,-2.236068 0,-2.236068 Z" />
+ </g>
+ </g>
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ transform="translate(25.869032,0.86646553)"
+ id="g25866">
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ id="g25868">
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ clip-path="url(#clipPath25874-8)"
+ id="g25870">
+ <path
+ inkscape:connector-curvature="0"
+ id="path25876"
+ style="fill:#ffca00;fill-opacity:1;fill-rule:nonzero;stroke:none;stroke-width:1.13305926;stroke-linecap:butt;stroke-linejoin:round;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ d="m 0,-2.236068 c 0.593012,0 1.161816,0.235606 1.581139,0.654929 C 2.000462,-1.161816 2.236068,-0.593012 2.236068,0 c 0,0.593012 -0.235606,1.161816 -0.654929,1.581139 C 1.161816,2.000462 0.593012,2.236068 0,2.236068 c -0.593012,0 -1.161816,-0.235606 -1.581139,-0.654929 C -2.000462,1.161816 -2.236068,0.593012 -2.236068,0 c 0,-0.593012 0.235606,-1.161816 0.654929,-1.581139 C -1.161816,-2.000462 -0.593012,-2.236068 0,-2.236068 Z" />
+ </g>
+ </g>
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ transform="translate(64.67258,28.841365)"
+ id="g25878">
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ id="g25880">
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ clip-path="url(#clipPath25886-6)"
+ id="g25882">
+ <path
+ inkscape:connector-curvature="0"
+ id="path25888"
+ style="fill:#ffca00;fill-opacity:1;fill-rule:nonzero;stroke:none;stroke-width:1.13305926;stroke-linecap:butt;stroke-linejoin:round;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ d="m 0,-2.236068 c 0.593012,0 1.161816,0.235606 1.581139,0.654929 C 2.000462,-1.161816 2.236068,-0.593012 2.236068,0 c 0,0.593012 -0.235606,1.161816 -0.654929,1.581139 C 1.161816,2.000462 0.593012,2.236068 0,2.236068 c -0.593012,0 -1.161816,-0.235606 -1.581139,-0.654929 C -2.000462,1.161816 -2.236068,0.593012 -2.236068,0 c 0,-0.593012 0.235606,-1.161816 0.654929,-1.581139 C -1.161816,-2.000462 -0.593012,-2.236068 0,-2.236068 Z" />
+ </g>
+ </g>
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ transform="translate(25.869032,-30.67237)"
+ id="g25890">
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ id="g25892">
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ clip-path="url(#clipPath25898-4)"
+ id="g25894">
+ <path
+ inkscape:connector-curvature="0"
+ id="path25900"
+ style="fill:#ffca00;fill-opacity:1;fill-rule:nonzero;stroke:none;stroke-width:1.13305926;stroke-linecap:butt;stroke-linejoin:round;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ d="m 0,-2.236068 c 0.593012,0 1.161816,0.235606 1.581139,0.654929 C 2.000462,-1.161816 2.236068,-0.593012 2.236068,0 c 0,0.593012 -0.235606,1.161816 -0.654929,1.581139 C 1.161816,2.000462 0.593012,2.236068 0,2.236068 c -0.593012,0 -1.161816,-0.235606 -1.581139,-0.654929 C -2.000462,1.161816 -2.236068,0.593012 -2.236068,0 c 0,-0.593012 0.235606,-1.161816 0.654929,-1.581139 C -1.161816,-2.000462 -0.593012,-2.236068 0,-2.236068 Z" />
+ </g>
+ </g>
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ transform="translate(-198.32924,0.24433726)"
+ id="g25902">
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ id="g25904">
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ clip-path="url(#clipPath25910-7)"
+ id="g25906" />
+ </g>
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ transform="translate(107.78763,-0.24433726)"
+ id="g25914">
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ id="g25916">
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ clip-path="url(#clipPath25922-0)"
+ id="g25918">
+ <path
+ inkscape:connector-curvature="0"
+ id="path25924"
+ style="fill:#ffca00;fill-opacity:1;fill-rule:nonzero;stroke:none;stroke-width:1.13305926;stroke-linecap:butt;stroke-linejoin:round;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ d="m 0,-2.236068 c 0.593012,0 1.161816,0.235606 1.581139,0.654929 C 2.000462,-1.161816 2.236068,-0.593012 2.236068,0 c 0,0.593012 -0.235606,1.161816 -0.654929,1.581139 C 1.161816,2.000462 0.593012,2.236068 0,2.236068 c -0.593012,0 -1.161816,-0.235606 -1.581139,-0.654929 C -2.000462,1.161816 -2.236068,0.593012 -2.236068,0 c 0,-0.593012 0.235606,-1.161816 0.654929,-1.581139 C -1.161816,-2.000462 -0.593012,-2.236068 0,-2.236068 Z" />
+ </g>
+ </g>
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ transform="translate(86.230106,17.913127)"
+ id="g25926">
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ id="g25928">
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ clip-path="url(#clipPath25934-7)"
+ id="g25930">
+ <path
+ inkscape:connector-curvature="0"
+ id="path25936"
+ style="fill:#ffca00;fill-opacity:1;fill-rule:nonzero;stroke:none;stroke-width:1.13305926;stroke-linecap:butt;stroke-linejoin:round;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ d="m 0,-2.236068 c 0.593012,0 1.161816,0.235606 1.581139,0.654929 C 2.000462,-1.161816 2.236068,-0.593012 2.236068,0 c 0,0.593012 -0.235606,1.161816 -0.654929,1.581139 C 1.161816,2.000462 0.593012,2.236068 0,2.236068 c -0.593012,0 -1.161816,-0.235606 -1.581139,-0.654929 C -2.000462,1.161816 -2.236068,0.593012 -2.236068,0 c 0,-0.593012 0.235606,-1.161816 0.654929,-1.581139 C -1.161816,-2.000462 -0.593012,-2.236068 0,-2.236068 Z" />
+ </g>
+ </g>
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ transform="translate(-107.78763,8.5924305)"
+ id="g25938">
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ id="g25940">
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ clip-path="url(#clipPath25946-9)"
+ id="g25942">
+ <path
+ inkscape:connector-curvature="0"
+ id="path25948"
+ style="fill:#ffca00;fill-opacity:1;fill-rule:nonzero;stroke:none;stroke-width:1.13305926;stroke-linecap:butt;stroke-linejoin:round;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ d="m 0,-2.236068 c 0.593012,0 1.161816,0.235606 1.581139,0.654929 C 2.000462,-1.161816 2.236068,-0.593012 2.236068,0 c 0,0.593012 -0.235606,1.161816 -0.654929,1.581139 C 1.161816,2.000462 0.593012,2.236068 0,2.236068 c -0.593012,0 -1.161816,-0.235606 -1.581139,-0.654929 C -2.000462,1.161816 -2.236068,0.593012 -2.236068,0 c 0,-0.593012 0.235606,-1.161816 0.654929,-1.581139 C -1.161816,-2.000462 -0.593012,-2.236068 0,-2.236068 Z" />
+ </g>
+ </g>
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ transform="translate(-21.557527,-27.409023)"
+ id="g25950">
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ id="g25952">
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ clip-path="url(#clipPath25958-8)"
+ id="g25954">
+ <path
+ inkscape:connector-curvature="0"
+ id="path25960"
+ style="fill:#ffca00;fill-opacity:1;fill-rule:nonzero;stroke:none;stroke-width:1.13305926;stroke-linecap:butt;stroke-linejoin:round;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ d="m 0,-2.236068 c 0.593012,0 1.161816,0.235606 1.581139,0.654929 C 2.000462,-1.161816 2.236068,-0.593012 2.236068,0 c 0,0.593012 -0.235606,1.161816 -0.654929,1.581139 C 1.161816,2.000462 0.593012,2.236068 0,2.236068 c -0.593012,0 -1.161816,-0.235606 -1.581139,-0.654929 C -2.000462,1.161816 -2.236068,0.593012 -2.236068,0 c 0,-0.593012 0.235606,-1.161816 0.654929,-1.581139 C -1.161816,-2.000462 -0.593012,-2.236068 0,-2.236068 Z" />
+ </g>
+ </g>
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ transform="translate(51.738064,-0.15752866)"
+ id="g25962">
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ id="g25964">
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ clip-path="url(#clipPath25970-3)"
+ id="g25966">
+ <path
+ inkscape:connector-curvature="0"
+ id="path25972"
+ style="fill:#ffca00;fill-opacity:1;fill-rule:nonzero;stroke:none;stroke-width:1.13305926;stroke-linecap:butt;stroke-linejoin:round;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ d="m 0,-2.236068 c 0.593012,0 1.161816,0.235606 1.581139,0.654929 C 2.000462,-1.161816 2.236068,-0.593012 2.236068,0 c 0,0.593012 -0.235606,1.161816 -0.654929,1.581139 C 1.161816,2.000462 0.593012,2.236068 0,2.236068 c -0.593012,0 -1.161816,-0.235606 -1.581139,-0.654929 C -2.000462,1.161816 -2.236068,0.593012 -2.236068,0 c 0,-0.593012 0.235606,-1.161816 0.654929,-1.581139 C -1.161816,-2.000462 -0.593012,-2.236068 0,-2.236068 Z" />
+ </g>
+ </g>
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ transform="translate(8.6230106,7.7163196)"
+ id="g25974">
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ id="g25976">
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ clip-path="url(#clipPath25982-8)"
+ id="g25978">
+ <path
+ inkscape:connector-curvature="0"
+ id="path25984"
+ style="fill:#ffca00;fill-opacity:1;fill-rule:nonzero;stroke:none;stroke-width:1.13305926;stroke-linecap:butt;stroke-linejoin:round;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ d="m 0,-2.236068 c 0.593012,0 1.161816,0.235606 1.581139,0.654929 C 2.000462,-1.161816 2.236068,-0.593012 2.236068,0 c 0,0.593012 -0.235606,1.161816 -0.654929,1.581139 C 1.161816,2.000462 0.593012,2.236068 0,2.236068 c -0.593012,0 -1.161816,-0.235606 -1.581139,-0.654929 C -2.000462,1.161816 -2.236068,0.593012 -2.236068,0 c 0,-0.593012 0.235606,-1.161816 0.654929,-1.581139 C -1.161816,-2.000462 -0.593012,-2.236068 0,-2.236068 Z" />
+ </g>
+ </g>
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ transform="translate(129.34516,-7.0073827)"
+ id="g25986">
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ id="g25988">
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ clip-path="url(#clipPath25994-7)"
+ id="g25990" />
+ </g>
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ transform="translate(-159.5257,1.8776506)"
+ id="g25998">
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ id="g26000">
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ clip-path="url(#clipPath26006-3)"
+ id="g26002">
+ <path
+ inkscape:connector-curvature="0"
+ id="path26008"
+ style="fill:#ffca00;fill-opacity:1;fill-rule:nonzero;stroke:none;stroke-width:1.13305926;stroke-linecap:butt;stroke-linejoin:round;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ d="m 0,-2.236068 c 0.593012,0 1.161816,0.235606 1.581139,0.654929 C 2.000462,-1.161816 2.236068,-0.593012 2.236068,0 c 0,0.593012 -0.235606,1.161816 -0.654929,1.581139 C 1.161816,2.000462 0.593012,2.236068 0,2.236068 c -0.593012,0 -1.161816,-0.235606 -1.581139,-0.654929 C -2.000462,1.161816 -2.236068,0.593012 -2.236068,0 c 0,-0.593012 0.235606,-1.161816 0.654929,-1.581139 C -1.161816,-2.000462 -0.593012,-2.236068 0,-2.236068 Z" />
+ </g>
+ </g>
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ transform="translate(155.21419,-1.5255935)"
+ id="g26010">
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ id="g26012">
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ clip-path="url(#clipPath26018-8)"
+ id="g26014" />
+ </g>
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ transform="translate(-155.21419,17.745915)"
+ id="g26022">
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ id="g26024">
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ clip-path="url(#clipPath26030-4)"
+ id="g26026">
+ <path
+ inkscape:connector-curvature="0"
+ id="path26032"
+ style="fill:#ffca00;fill-opacity:1;fill-rule:nonzero;stroke:none;stroke-width:1.13305926;stroke-linecap:butt;stroke-linejoin:round;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ d="m 0,-2.236068 c 0.593012,0 1.161816,0.235606 1.581139,0.654929 C 2.000462,-1.161816 2.236068,-0.593012 2.236068,0 c 0,0.593012 -0.235606,1.161816 -0.654929,1.581139 C 1.161816,2.000462 0.593012,2.236068 0,2.236068 c -0.593012,0 -1.161816,-0.235606 -1.581139,-0.654929 C -2.000462,1.161816 -2.236068,0.593012 -2.236068,0 c 0,-0.593012 0.235606,-1.161816 0.654929,-1.581139 C -1.161816,-2.000462 -0.593012,-2.236068 0,-2.236068 Z" />
+ </g>
+ </g>
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ transform="translate(56.049569,-21.796982)"
+ id="g26034">
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ id="g26036">
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ clip-path="url(#clipPath26042-9)"
+ id="g26038">
+ <path
+ inkscape:connector-curvature="0"
+ id="path26044"
+ style="fill:#ffca00;fill-opacity:1;fill-rule:nonzero;stroke:none;stroke-width:1.13305926;stroke-linecap:butt;stroke-linejoin:round;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ d="m 0,-2.236068 c 0.593012,0 1.161816,0.235606 1.581139,0.654929 C 2.000462,-1.161816 2.236068,-0.593012 2.236068,0 c 0,0.593012 -0.235606,1.161816 -0.654929,1.581139 C 1.161816,2.000462 0.593012,2.236068 0,2.236068 c -0.593012,0 -1.161816,-0.235606 -1.581139,-0.654929 C -2.000462,1.161816 -2.236068,0.593012 -2.236068,0 c 0,-0.593012 0.235606,-1.161816 0.654929,-1.581139 C -1.161816,-2.000462 -0.593012,-2.236068 0,-2.236068 Z" />
+ </g>
+ </g>
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ transform="translate(-10.778763,10.031215)"
+ id="g26046">
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ id="g26048">
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ clip-path="url(#clipPath26054-9)"
+ id="g26050">
+ <path
+ inkscape:connector-curvature="0"
+ id="path26056"
+ style="fill:#ffca00;fill-opacity:1;fill-rule:nonzero;stroke:none;stroke-width:1.13305926;stroke-linecap:butt;stroke-linejoin:round;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ d="m 0,-2.236068 c 0.593012,0 1.161816,0.235606 1.581139,0.654929 C 2.000462,-1.161816 2.236068,-0.593012 2.236068,0 c 0,0.593012 -0.235606,1.161816 -0.654929,1.581139 C 1.161816,2.000462 0.593012,2.236068 0,2.236068 c -0.593012,0 -1.161816,-0.235606 -1.581139,-0.654929 C -2.000462,1.161816 -2.236068,0.593012 -2.236068,0 c 0,-0.593012 0.235606,-1.161816 0.654929,-1.581139 C -1.161816,-2.000462 -0.593012,-2.236068 0,-2.236068 Z" />
+ </g>
+ </g>
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ transform="translate(-66.828332,-7.0314962)"
+ id="g26058">
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ id="g26060">
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ clip-path="url(#clipPath26066-8)"
+ id="g26062">
+ <path
+ inkscape:connector-curvature="0"
+ id="path26068"
+ style="fill:#ffca00;fill-opacity:1;fill-rule:nonzero;stroke:none;stroke-width:1.13305926;stroke-linecap:butt;stroke-linejoin:round;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ d="m 0,-2.236068 c 0.593012,0 1.161816,0.235606 1.581139,0.654929 C 2.000462,-1.161816 2.236068,-0.593012 2.236068,0 c 0,0.593012 -0.235606,1.161816 -0.654929,1.581139 C 1.161816,2.000462 0.593012,2.236068 0,2.236068 c -0.593012,0 -1.161816,-0.235606 -1.581139,-0.654929 C -2.000462,1.161816 -2.236068,0.593012 -2.236068,0 c 0,-0.593012 0.235606,-1.161816 0.654929,-1.581139 C -1.161816,-2.000462 -0.593012,-2.236068 0,-2.236068 Z" />
+ </g>
+ </g>
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ transform="translate(81.918601,56.208566)"
+ id="g26070">
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ id="g26072">
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ clip-path="url(#clipPath26078-8)"
+ id="g26074">
+ <path
+ inkscape:connector-curvature="0"
+ id="path26080"
+ style="fill:#ffca00;fill-opacity:1;fill-rule:nonzero;stroke:none;stroke-width:1.13305926;stroke-linecap:butt;stroke-linejoin:round;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ d="m 0,-2.236068 c 0.593012,0 1.161816,0.235606 1.581139,0.654929 C 2.000462,-1.161816 2.236068,-0.593012 2.236068,0 c 0,0.593012 -0.235606,1.161816 -0.654929,1.581139 C 1.161816,2.000462 0.593012,2.236068 0,2.236068 c -0.593012,0 -1.161816,-0.235606 -1.581139,-0.654929 C -2.000462,1.161816 -2.236068,0.593012 -2.236068,0 c 0,-0.593012 0.235606,-1.161816 0.654929,-1.581139 C -1.161816,-2.000462 -0.593012,-2.236068 0,-2.236068 Z" />
+ </g>
+ </g>
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ transform="translate(-21.557527,-51.106149)"
+ id="g26082">
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ id="g26084">
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ clip-path="url(#clipPath26090-3)"
+ id="g26086">
+ <path
+ inkscape:connector-curvature="0"
+ id="path26092"
+ style="fill:#ffca00;fill-opacity:1;fill-rule:nonzero;stroke:none;stroke-width:1.13305926;stroke-linecap:butt;stroke-linejoin:round;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ d="m 0,-2.236068 c 0.593012,0 1.161816,0.235606 1.581139,0.654929 C 2.000462,-1.161816 2.236068,-0.593012 2.236068,0 c 0,0.593012 -0.235606,1.161816 -0.654929,1.581139 C 1.161816,2.000462 0.593012,2.236068 0,2.236068 c -0.593012,0 -1.161816,-0.235606 -1.581139,-0.654929 C -2.000462,1.161816 -2.236068,0.593012 -2.236068,0 c 0,-0.593012 0.235606,-1.161816 0.654929,-1.581139 C -1.161816,-2.000462 -0.593012,-2.236068 0,-2.236068 Z" />
+ </g>
+ </g>
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ transform="translate(-64.67258,-4.3034686)"
+ id="g26094">
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ id="g26096">
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ clip-path="url(#clipPath26102-1)"
+ id="g26098">
+ <path
+ inkscape:connector-curvature="0"
+ id="path26104"
+ style="fill:#ffca00;fill-opacity:1;fill-rule:nonzero;stroke:none;stroke-width:1.13305926;stroke-linecap:butt;stroke-linejoin:round;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ d="m 0,-2.236068 c 0.593012,0 1.161816,0.235606 1.581139,0.654929 C 2.000462,-1.161816 2.236068,-0.593012 2.236068,0 c 0,0.593012 -0.235606,1.161816 -0.654929,1.581139 C 1.161816,2.000462 0.593012,2.236068 0,2.236068 c -0.593012,0 -1.161816,-0.235606 -1.581139,-0.654929 C -2.000462,1.161816 -2.236068,0.593012 -2.236068,0 c 0,-0.593012 0.235606,-1.161816 0.654929,-1.581139 C -1.161816,-2.000462 -0.593012,-2.236068 0,-2.236068 Z" />
+ </g>
+ </g>
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ transform="translate(86.230106,-0.14306057)"
+ id="g26106">
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ id="g26108">
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ clip-path="url(#clipPath26114-8)"
+ id="g26110">
+ <path
+ inkscape:connector-curvature="0"
+ id="path26116"
+ style="fill:#ffca00;fill-opacity:1;fill-rule:nonzero;stroke:none;stroke-width:1.13305926;stroke-linecap:butt;stroke-linejoin:round;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ d="m 0,-2.236068 c 0.593012,0 1.161816,0.235606 1.581139,0.654929 C 2.000462,-1.161816 2.236068,-0.593012 2.236068,0 c 0,0.593012 -0.235606,1.161816 -0.654929,1.581139 C 1.161816,2.000462 0.593012,2.236068 0,2.236068 c -0.593012,0 -1.161816,-0.235606 -1.581139,-0.654929 C -2.000462,1.161816 -2.236068,0.593012 -2.236068,0 c 0,-0.593012 0.235606,-1.161816 0.654929,-1.581139 C -1.161816,-2.000462 -0.593012,-2.236068 0,-2.236068 Z" />
+ </g>
+ </g>
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ transform="translate(-17.246021,11.82526)"
+ id="g26118">
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ id="g26120">
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ clip-path="url(#clipPath26126-9)"
+ id="g26122">
+ <path
+ inkscape:connector-curvature="0"
+ id="path26128"
+ style="fill:#ffca00;fill-opacity:1;fill-rule:nonzero;stroke:none;stroke-width:1.13305926;stroke-linecap:butt;stroke-linejoin:round;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ d="m 0,-2.236068 c 0.593012,0 1.161816,0.235606 1.581139,0.654929 C 2.000462,-1.161816 2.236068,-0.593012 2.236068,0 c 0,0.593012 -0.235606,1.161816 -0.654929,1.581139 C 1.161816,2.000462 0.593012,2.236068 0,2.236068 c -0.593012,0 -1.161816,-0.235606 -1.581139,-0.654929 C -2.000462,1.161816 -2.236068,0.593012 -2.236068,0 c 0,-0.593012 0.235606,-1.161816 0.654929,-1.581139 C -1.161816,-2.000462 -0.593012,-2.236068 0,-2.236068 Z" />
+ </g>
+ </g>
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ transform="translate(4.3115053,5.0059623)"
+ id="g26130">
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ id="g26132">
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ clip-path="url(#clipPath26138-9)"
+ id="g26134">
+ <path
+ inkscape:connector-curvature="0"
+ id="path26140"
+ style="fill:#ffca00;fill-opacity:1;fill-rule:nonzero;stroke:none;stroke-width:1.13305926;stroke-linecap:butt;stroke-linejoin:round;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ d="m 0,-2.236068 c 0.593012,0 1.161816,0.235606 1.581139,0.654929 C 2.000462,-1.161816 2.236068,-0.593012 2.236068,0 c 0,0.593012 -0.235606,1.161816 -0.654929,1.581139 C 1.161816,2.000462 0.593012,2.236068 0,2.236068 c -0.593012,0 -1.161816,-0.235606 -1.581139,-0.654929 C -2.000462,1.161816 -2.236068,0.593012 -2.236068,0 c 0,-0.593012 0.235606,-1.161816 0.654929,-1.581139 C -1.161816,-2.000462 -0.593012,-2.236068 0,-2.236068 Z" />
+ </g>
+ </g>
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ transform="translate(51.738064,22.29372)"
+ id="g26142">
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ id="g26144">
+ <g
+ style="fill:#ffca00;fill-opacity:1;stroke:none;stroke-width:1.13305926;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ clip-path="url(#clipPath26150-3)"
+ id="g26146">
+ <path
+ inkscape:connector-curvature="0"
+ id="path26152"
+ style="fill:#ffca00;fill-opacity:1;fill-rule:nonzero;stroke:none;stroke-width:1.13305926;stroke-linecap:butt;stroke-linejoin:round;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:0.78431373"
+ d="m 0,-2.236068 c 0.593012,0 1.161816,0.235606 1.581139,0.654929 C 2.000462,-1.161816 2.236068,-0.593012 2.236068,0 c 0,0.593012 -0.235606,1.161816 -0.654929,1.581139 C 1.161816,2.000462 0.593012,2.236068 0,2.236068 c -0.593012,0 -1.161816,-0.235606 -1.581139,-0.654929 C -2.000462,1.161816 -2.236068,0.593012 -2.236068,0 c 0,-0.593012 0.235606,-1.161816 0.654929,-1.581139 C -1.161816,-2.000462 -0.593012,-2.236068 0,-2.236068 Z" />
+ </g>
+ </g>
+ </g>
+ </g>
+ </g>
+ </g>
+ </g>
+ </g>
+ </g>
+ </g>
+ </g>
+ </g>
+ </g>
+ </g>
+ </g>
+ </g>
+ </g>
+ </g>
+ </g>
+ </g>
+ </g>
+ </g>
+ </g>
+ </g>
+ </g>
+ </g>
+ </g>
+ </g>
+ </g>
+ </g>
+ </g>
+ </g>
+ </g>
+ </g>
+ </g>
+ </g>
+ </g>
+ </g>
+ </g>
+ </g>
+ </g>
+ </g>
+ </g>
+ </g>
+ </g>
+ </g>
+ </g>
+ </g>
+ </g>
+ </g>
+ </g>
+ </g>
+ </g>
+ </g>
+ </g>
+ </g>
+ </g>
+ </g>
+ </g>
+ </g>
+ </g>
+ </g>
+ </g>
+ </g>
+ </g>
+ </g>
+ </g>
+ </g>
+ </g>
+ </g>
+ </g>
+ </g>
+ </g>
+ </g>
+ </g>
+ </g>
+ </g>
+ </g>
+ </g>
+ </g>
+ </g>
+ </g>
+ </g>
+ </g>
+ </g>
+ </g>
+ </g>
+ </g>
+ </g>
+ </g>
+ </g>
+ </g>
+ </g>
+ </g>
+ </g>
+ </g>
+ </g>
+ </g>
+ </g>
+ </g>
+ </g>
+ </g>
+ </g>
+ </g>
+ </g>
+ </g>
+ </g>
+ </g>
+ </g>
+ </g>
+ </g>
+ </g>
+ </g>
+ </g>
+ </g>
+ </g>
+ </g>
+ </g>
+ </g>
+ </g>
+ </g>
+ </g>
+ </g>
+ </g>
+ </g>
+ </g>
+ </g>
+ </g>
+ </g>
+ </g>
+ </g>
+ </g>
+ </g>
+ </g>
+ </g>
+ </g>
+ </g>
+ </g>
+ </g>
+ </g>
+ </g>
+ </g>
+ </g>
+ </g>
+ </g>
+ </g>
+ </g>
+ </g>
+ </g>
+ </g>
+ </g>
+ </g>
+ </g>
+ </g>
+ </g>
+ </g>
+ </g>
+ </g>
+ </g>
+ </g>
+ </g>
+ </g>
+ </g>
+ </g>
+ </g>
+ </g>
+ </g>
+ </g>
+ </g>
+ </g>
+ </g>
+ </g>
+ </g>
+ </g>
+ </g>
+ </g>
+ </g>
+ </g>
+ </g>
+ </g>
+ </g>
+ </g>
+ </g>
+ </g>
+ </g>
+ </g>
+ </g>
+ </g>
+ </g>
+ </g>
+ </g>
+ <path
+ inkscape:connector-curvature="0"
+ id="path26248"
+ style="fill:#ffca00;fill-opacity:1;stroke:#505050;stroke-width:0.48219368;stroke-linecap:square;stroke-linejoin:miter;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:1"
+ d="M 158.19812,120.30361 V 83.289427" />
+ </g>
+ <path
+ d="m 158.19812,120.30361 h 56.99205"
+ style="fill:none;stroke:#505050;stroke-width:0.48219368;stroke-linecap:square;stroke-linejoin:miter;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:1"
+ id="path26252"
+ inkscape:connector-curvature="0" />
+ <g
+ style="stroke:#505050;stroke-width:3.39917612;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:1"
+ transform="matrix(0.17022713,0,0,-0.17022713,209.66847,126.43174)"
+ id="g21112">
+ <g
+ style="stroke:#505050;stroke-width:3.39917612;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:1"
+ clip-path="url(#clipPath21118)"
+ id="g21114">
+ <path
+ inkscape:connector-curvature="0"
+ id="path21120"
+ style="fill:none;stroke:#505050;stroke-width:3.39917612;stroke-linecap:square;stroke-linejoin:round;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:1"
+ d="m 125.145,111.90702 h 25.11" />
+ </g>
+ </g>
+ <g
+ style="stroke:#505050;stroke-width:3.39917612;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:1"
+ transform="matrix(0.17022713,0,0,-0.17022713,209.66847,126.43174)"
+ id="g21122">
+ <g
+ style="stroke:#505050;stroke-width:3.39917612;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:1"
+ clip-path="url(#clipPath21128)"
+ id="g21124">
+ <path
+ inkscape:connector-curvature="0"
+ id="path21130"
+ style="fill:none;stroke:#505050;stroke-width:3.39917612;stroke-linecap:square;stroke-linejoin:round;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:1"
+ d="m 292.545,116.87492 h 25.11" />
+ </g>
+ </g>
+ <g
+ style="stroke:#150458;stroke-width:3.39917612;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:1"
+ transform="matrix(0.17022713,0,0,-0.17022713,209.66847,126.43174)"
+ id="g20920">
+ <g
+ style="stroke:#150458;stroke-width:3.39917612;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:1"
+ clip-path="url(#clipPath20926)"
+ id="g20922">
+ <path
+ inkscape:connector-curvature="0"
+ id="path20928"
+ style="fill:none;stroke:#150458;stroke-width:3.39917612;stroke-linecap:square;stroke-linejoin:round;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:1"
+ d="m 125.145,89.551474 h 25.11 v 47.195046 h -25.11 V 89.551474" />
+ </g>
+ </g>
+ <g
+ style="stroke:#150458;stroke-width:3.39917612;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:1"
+ transform="matrix(0.17022713,0,0,-0.17022713,209.66847,126.43174)"
+ id="g20930">
+ <g
+ style="stroke:#150458;stroke-width:3.39917612;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:1"
+ clip-path="url(#clipPath20936)"
+ id="g20932">
+ <path
+ inkscape:connector-curvature="0"
+ id="path20938"
+ style="fill:none;stroke:#150458;stroke-width:3.39917612;stroke-linecap:square;stroke-linejoin:round;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:1"
+ d="M 137.7,89.551474 V 46.70334" />
+ </g>
+ </g>
+ <g
+ style="stroke:#150458;stroke-width:3.39917612;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:1"
+ transform="matrix(0.17022713,0,0,-0.17022713,209.66847,126.43174)"
+ id="g20940">
+ <g
+ style="stroke:#150458;stroke-width:3.39917612;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:1"
+ clip-path="url(#clipPath20946)"
+ id="g20942">
+ <path
+ inkscape:connector-curvature="0"
+ id="path20948"
+ style="fill:none;stroke:#150458;stroke-width:3.39917612;stroke-linecap:square;stroke-linejoin:round;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:1"
+ d="m 137.7,136.74652 v 64.5827" />
+ </g>
+ </g>
+ <g
+ style="stroke:#505050;stroke-width:3.39917612;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:1"
+ transform="matrix(0.17022713,0,0,-0.17022713,209.66847,126.43174)"
+ id="g20950">
+ <g
+ style="stroke:#505050;stroke-width:3.39917612;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:1"
+ clip-path="url(#clipPath20956)"
+ id="g20952">
+ <path
+ inkscape:connector-curvature="0"
+ id="path20958"
+ style="fill:none;stroke:#505050;stroke-width:3.39917612;stroke-linecap:square;stroke-linejoin:round;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:1"
+ d="m 131.4225,46.70334 h 12.555" />
+ </g>
+ </g>
+ <g
+ style="stroke:#505050;stroke-width:3.39917612;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:1"
+ transform="matrix(0.17022713,0,0,-0.17022713,209.66847,126.43174)"
+ id="g20960">
+ <g
+ style="stroke:#505050;stroke-width:3.39917612;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:1"
+ clip-path="url(#clipPath20966)"
+ id="g20962">
+ <path
+ inkscape:connector-curvature="0"
+ id="path20968"
+ style="fill:none;stroke:#505050;stroke-width:3.39917612;stroke-linecap:square;stroke-linejoin:round;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:1"
+ d="m 131.4225,201.32922 h 12.555" />
+ </g>
+ </g>
+ <g
+ style="stroke:#150458;stroke-width:3.39917612;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:1"
+ transform="matrix(0.17022713,0,0,-0.17022713,209.66847,126.43174)"
+ id="g20970">
+ <g
+ style="stroke:#150458;stroke-width:3.39917612;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:1"
+ clip-path="url(#clipPath20976)"
+ id="g20972">
+ <path
+ inkscape:connector-curvature="0"
+ id="path20978"
+ style="fill:none;stroke:#150458;stroke-width:3.39917612;stroke-linecap:square;stroke-linejoin:round;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:1"
+ d="m 292.545,97.003324 h 25.11 v 44.711096 h -25.11 V 97.003324" />
+ </g>
+ </g>
+ <g
+ style="stroke:#150458;stroke-width:3.39917612;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:1"
+ transform="matrix(0.17022713,0,0,-0.17022713,209.66847,126.43174)"
+ id="g20980">
+ <g
+ style="stroke:#150458;stroke-width:3.39917612;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:1"
+ clip-path="url(#clipPath20986)"
+ id="g20982">
+ <path
+ inkscape:connector-curvature="0"
+ id="path20988"
+ style="fill:none;stroke:#150458;stroke-width:3.39917612;stroke-linecap:square;stroke-linejoin:round;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:1"
+ d="M 305.1,97.003324 V 45.883636" />
+ </g>
+ </g>
+ <g
+ style="stroke:#150458;stroke-width:3.39917612;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:1"
+ transform="matrix(0.17022713,0,0,-0.17022713,209.66847,126.43174)"
+ id="g20990">
+ <g
+ style="stroke:#150458;stroke-width:3.39917612;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:1"
+ clip-path="url(#clipPath20996)"
+ id="g20992">
+ <path
+ inkscape:connector-curvature="0"
+ id="path20998"
+ style="fill:none;stroke:#150458;stroke-width:3.39917612;stroke-linecap:square;stroke-linejoin:round;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:1"
+ d="m 305.1,141.71442 v 67.06665" />
+ </g>
+ </g>
+ <g
+ style="stroke:#505050;stroke-width:3.39917612;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:1"
+ transform="matrix(0.17022713,0,0,-0.17022713,209.66847,126.43174)"
+ id="g21000">
+ <g
+ style="stroke:#505050;stroke-width:3.39917612;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:1"
+ clip-path="url(#clipPath21006)"
+ id="g21002">
+ <path
+ inkscape:connector-curvature="0"
+ id="path21008"
+ style="fill:none;stroke:#505050;stroke-width:3.39917612;stroke-linecap:square;stroke-linejoin:round;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:1"
+ d="m 298.8225,45.883636 h 12.555" />
+ </g>
+ </g>
+ <g
+ style="stroke:#505050;stroke-width:3.39917612;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:1"
+ transform="matrix(0.17022713,0,0,-0.17022713,209.66847,126.43174)"
+ id="g21010">
+ <g
+ style="stroke:#505050;stroke-width:3.39917612;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:1"
+ clip-path="url(#clipPath21016)"
+ id="g21012">
+ <path
+ inkscape:connector-curvature="0"
+ id="path21018"
+ style="fill:none;stroke:#505050;stroke-width:3.39917612;stroke-linecap:square;stroke-linejoin:round;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:1"
+ d="m 298.8225,208.78107 h 12.555" />
+ </g>
+ </g>
+ <g
+ style="stroke:#505050;stroke-width:1.13305879;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:1"
+ transform="matrix(0.17022713,0,0,-0.17022713,209.66847,126.43174)"
+ id="g21020">
+ <g
+ style="stroke:#505050;stroke-width:1.13305879;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:1"
+ clip-path="url(#clipPath21026)"
+ id="g21022">
+ <g
+ style="stroke:#505050;stroke-width:1.13305879;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:1"
+ transform="translate(305.1,221.20082)"
+ id="g21028">
+ <g
+ style="stroke:#505050;stroke-width:1.13305879;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:1"
+ id="g21030">
+ <g
+ style="stroke:#505050;stroke-width:1.13305879;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:1"
+ clip-path="url(#clipPath21036)"
+ id="g21032">
+ <path
+ inkscape:connector-curvature="0"
+ id="path21038"
+ style="fill:none;stroke:#505050;stroke-width:1.13305879;stroke-linecap:butt;stroke-linejoin:round;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:1"
+ d="m 0,-3 c 0.795609,0 1.55874,0.316099 2.12132,0.87868 C 2.683901,-1.55874 3,-0.795609 3,0 3,0.795609 2.683901,1.55874 2.12132,2.12132 1.55874,2.683901 0.795609,3 0,3 -0.795609,3 -1.55874,2.683901 -2.12132,2.12132 -2.683901,1.55874 -3,0.795609 -3,0 -3,-0.795609 -2.683901,-1.55874 -2.12132,-2.12132 -1.55874,-2.683901 -0.795609,-3 0,-3 Z" />
+ </g>
+ </g>
+ <g
+ style="stroke:#505050;stroke-width:1.13305879;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:1"
+ transform="translate(0,-1.2419749)"
+ id="g21040">
+ <g
+ style="stroke:#505050;stroke-width:1.13305879;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:1"
+ id="g21042">
+ <g
+ style="stroke:#505050;stroke-width:1.13305879;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:1"
+ clip-path="url(#clipPath21048)"
+ id="g21044">
+ <path
+ inkscape:connector-curvature="0"
+ id="path21050"
+ style="fill:none;stroke:#505050;stroke-width:1.13305879;stroke-linecap:butt;stroke-linejoin:round;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:1"
+ d="m 0,-3 c 0.795609,0 1.55874,0.316099 2.12132,0.87868 C 2.683901,-1.55874 3,-0.795609 3,0 3,0.795609 2.683901,1.55874 2.12132,2.12132 1.55874,2.683901 0.795609,3 0,3 -0.795609,3 -1.55874,2.683901 -2.12132,2.12132 -2.683901,1.55874 -3,0.795609 -3,0 -3,-0.795609 -2.683901,-1.55874 -2.12132,-2.12132 -1.55874,-2.683901 -0.795609,-3 0,-3 Z" />
+ </g>
+ </g>
+ <g
+ style="stroke:#505050;stroke-width:1.13305879;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:1"
+ transform="translate(0,1.2419749)"
+ id="g21052">
+ <g
+ style="stroke:#505050;stroke-width:1.13305879;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:1"
+ id="g21054">
+ <g
+ style="stroke:#505050;stroke-width:1.13305879;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:1"
+ clip-path="url(#clipPath21060)"
+ id="g21056">
+ <path
+ inkscape:connector-curvature="0"
+ id="path21062"
+ style="fill:none;stroke:#505050;stroke-width:1.13305879;stroke-linecap:butt;stroke-linejoin:round;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:1"
+ d="m 0,-3 c 0.795609,0 1.55874,0.316099 2.12132,0.87868 C 2.683901,-1.55874 3,-0.795609 3,0 3,0.795609 2.683901,1.55874 2.12132,2.12132 1.55874,2.683901 0.795609,3 0,3 -0.795609,3 -1.55874,2.683901 -2.12132,2.12132 -2.683901,1.55874 -3,0.795609 -3,0 -3,-0.795609 -2.683901,-1.55874 -2.12132,-2.12132 -1.55874,-2.683901 -0.795609,-3 0,-3 Z" />
+ </g>
+ </g>
+ <g
+ style="stroke:#505050;stroke-width:1.13305879;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:1"
+ transform="translate(0,22.355548)"
+ id="g21064">
+ <g
+ style="stroke:#505050;stroke-width:1.13305879;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:1"
+ id="g21066">
+ <g
+ style="stroke:#505050;stroke-width:1.13305879;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:1"
+ clip-path="url(#clipPath21072)"
+ id="g21068">
+ <path
+ inkscape:connector-curvature="0"
+ id="path21074"
+ style="fill:none;stroke:#505050;stroke-width:1.13305879;stroke-linecap:butt;stroke-linejoin:round;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:1"
+ d="m 0,-3 c 0.795609,0 1.55874,0.316099 2.12132,0.87868 C 2.683901,-1.55874 3,-0.795609 3,0 3,0.795609 2.683901,1.55874 2.12132,2.12132 1.55874,2.683901 0.795609,3 0,3 -0.795609,3 -1.55874,2.683901 -2.12132,2.12132 -2.683901,1.55874 -3,0.795609 -3,0 -3,-0.795609 -2.683901,-1.55874 -2.12132,-2.12132 -1.55874,-2.683901 -0.795609,-3 0,-3 Z" />
+ </g>
+ </g>
+ <g
+ style="stroke:#505050;stroke-width:1.13305879;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:1"
+ transform="translate(0,-24.839498)"
+ id="g21076">
+ <g
+ style="stroke:#505050;stroke-width:1.13305879;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:1"
+ id="g21078">
+ <g
+ style="stroke:#505050;stroke-width:1.13305879;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:1"
+ clip-path="url(#clipPath21084)"
+ id="g21080">
+ <path
+ inkscape:connector-curvature="0"
+ id="path21086"
+ style="fill:none;stroke:#505050;stroke-width:1.13305879;stroke-linecap:butt;stroke-linejoin:round;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:1"
+ d="m 0,-3 c 0.795609,0 1.55874,0.316099 2.12132,0.87868 C 2.683901,-1.55874 3,-0.795609 3,0 3,0.795609 2.683901,1.55874 2.12132,2.12132 1.55874,2.683901 0.795609,3 0,3 -0.795609,3 -1.55874,2.683901 -2.12132,2.12132 -2.683901,1.55874 -3,0.795609 -3,0 -3,-0.795609 -2.683901,-1.55874 -2.12132,-2.12132 -1.55874,-2.683901 -0.795609,-3 0,-3 Z" />
+ </g>
+ </g>
+ <g
+ style="stroke:#505050;stroke-width:1.13305879;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:1"
+ id="g21088">
+ <g
+ style="stroke:#505050;stroke-width:1.13305879;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:1"
+ id="g21090">
+ <g
+ style="stroke:#505050;stroke-width:1.13305879;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:1"
+ clip-path="url(#clipPath21096)"
+ id="g21092">
+ <path
+ inkscape:connector-curvature="0"
+ id="path21098"
+ style="fill:none;stroke:#505050;stroke-width:1.13305879;stroke-linecap:butt;stroke-linejoin:round;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:1"
+ d="m 0,-3 c 0.795609,0 1.55874,0.316099 2.12132,0.87868 C 2.683901,-1.55874 3,-0.795609 3,0 3,0.795609 2.683901,1.55874 2.12132,2.12132 1.55874,2.683901 0.795609,3 0,3 -0.795609,3 -1.55874,2.683901 -2.12132,2.12132 -2.683901,1.55874 -3,0.795609 -3,0 -3,-0.795609 -2.683901,-1.55874 -2.12132,-2.12132 -1.55874,-2.683901 -0.795609,-3 0,-3 Z" />
+ </g>
+ </g>
+ <g
+ style="stroke:#505050;stroke-width:1.13305879;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:1"
+ transform="translate(0,9.9357993)"
+ id="g21100">
+ <g
+ style="stroke:#505050;stroke-width:1.13305879;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:1"
+ id="g21102">
+ <g
+ style="stroke:#505050;stroke-width:1.13305879;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:1"
+ clip-path="url(#clipPath21108)"
+ id="g21104">
+ <path
+ inkscape:connector-curvature="0"
+ id="path21110"
+ style="fill:none;stroke:#505050;stroke-width:1.13305879;stroke-linecap:butt;stroke-linejoin:round;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:1"
+ d="m 0,-3 c 0.795609,0 1.55874,0.316099 2.12132,0.87868 C 2.683901,-1.55874 3,-0.795609 3,0 3,0.795609 2.683901,1.55874 2.12132,2.12132 1.55874,2.683901 0.795609,3 0,3 -0.795609,3 -1.55874,2.683901 -2.12132,2.12132 -2.683901,1.55874 -3,0.795609 -3,0 -3,-0.795609 -2.683901,-1.55874 -2.12132,-2.12132 -1.55874,-2.683901 -0.795609,-3 0,-3 Z" />
+ </g>
+ </g>
+ </g>
+ </g>
+ </g>
+ </g>
+ </g>
+ </g>
+ </g>
+ </g>
+ </g>
+ <path
+ d="M 218.86073,120.30357 V 83.289378"
+ style="fill:none;stroke:#505050;stroke-width:0.48219332;stroke-linecap:square;stroke-linejoin:miter;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:1"
+ id="path21134"
+ inkscape:connector-curvature="0" />
+ <path
+ d="m 218.86073,120.30357 h 56.99204"
+ style="fill:none;stroke:#505050;stroke-width:0.48240176;stroke-linecap:square;stroke-linejoin:miter;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:1"
+ id="path21138"
+ inkscape:connector-curvature="0" />
+ <g
+ style="fill:#150458;fill-opacity:1;stroke:#ffffd8;stroke-width:1.57538962;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:1"
+ transform="matrix(0.1702344,0,0,-0.1702344,149.00467,168.43373)"
+ id="g23785">
+ <g
+ style="fill:#150458;fill-opacity:1;stroke:#ffffd8;stroke-width:1.57538962;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:1"
+ clip-path="url(#clipPath23791)"
+ id="g23787">
+ <path
+ inkscape:connector-curvature="0"
+ id="path23793"
+ style="fill:#150458;fill-opacity:1;fill-rule:nonzero;stroke:#ffffd8;stroke-width:1.57538962;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:1"
+ d="M 69.218182,36 H 99.654545 V 99.178692 H 69.218182 Z" />
+ </g>
+ </g>
+ <g
+ style="fill:#150458;fill-opacity:1;stroke:#ffffd8;stroke-width:1.57538962;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:1"
+ transform="matrix(0.1702344,0,0,-0.1702344,149.00467,168.43373)"
+ id="g23795">
+ <g
+ style="fill:#150458;fill-opacity:1;stroke:#ffffd8;stroke-width:1.57538962;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:1"
+ clip-path="url(#clipPath23801)"
+ id="g23797">
+ <path
+ inkscape:connector-curvature="0"
+ id="path23803"
+ style="fill:#150458;fill-opacity:1;fill-rule:nonzero;stroke:#ffffd8;stroke-width:1.57538962;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:1"
+ d="M 99.654545,36 H 130.09091 V 89.818886 H 99.654545 Z" />
+ </g>
+ </g>
+ <g
+ style="fill:#150458;fill-opacity:1;stroke:#ffffd8;stroke-width:1.57538962;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:1"
+ transform="matrix(0.1702344,0,0,-0.1702344,149.00467,168.43373)"
+ id="g23805">
+ <g
+ style="fill:#150458;fill-opacity:1;stroke:#ffffd8;stroke-width:1.57538962;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:1"
+ clip-path="url(#clipPath23811)"
+ id="g23807">
+ <path
+ inkscape:connector-curvature="0"
+ id="path23813"
+ style="fill:#150458;fill-opacity:1;fill-rule:nonzero;stroke:#ffffd8;stroke-width:1.57538962;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:1"
+ d="m 130.09091,36 h 30.43636 v 207.08571 h -30.43636 z" />
+ </g>
+ </g>
+ <g
+ style="fill:#150458;fill-opacity:1;stroke:#ffffd8;stroke-width:1.57538962;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:1"
+ transform="matrix(0.1702344,0,0,-0.1702344,149.00467,168.43373)"
+ id="g23815">
+ <g
+ style="fill:#150458;fill-opacity:1;stroke:#ffffd8;stroke-width:1.57538962;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:1"
+ clip-path="url(#clipPath23821)"
+ id="g23817">
+ <path
+ inkscape:connector-curvature="0"
+ id="path23823"
+ style="fill:#150458;fill-opacity:1;fill-rule:nonzero;stroke:#ffffd8;stroke-width:1.57538962;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:1"
+ d="m 160.52727,36 h 30.43637 v 197.72591 h -30.43637 z" />
+ </g>
+ </g>
+ <g
+ style="fill:#150458;fill-opacity:1;stroke:#ffffd8;stroke-width:1.57538962;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:1"
+ transform="matrix(0.1702344,0,0,-0.1702344,149.00467,168.43373)"
+ id="g23825">
+ <g
+ style="fill:#150458;fill-opacity:1;stroke:#ffffd8;stroke-width:1.57538962;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:1"
+ clip-path="url(#clipPath23831)"
+ id="g23827">
+ <path
+ inkscape:connector-curvature="0"
+ id="path23833"
+ style="fill:#150458;fill-opacity:1;fill-rule:nonzero;stroke:#ffffd8;stroke-width:1.57538962;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:1"
+ d="M 190.96364,36 H 221.4 v 138.05714 h -30.43636 z" />
+ </g>
+ </g>
+ <g
+ style="fill:#150458;fill-opacity:1;stroke:#ffffd8;stroke-width:1.57538962;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:1"
+ transform="matrix(0.1702344,0,0,-0.1702344,149.00467,168.43373)"
+ id="g23835">
+ <g
+ style="fill:#150458;fill-opacity:1;stroke:#ffffd8;stroke-width:1.57538962;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:1"
+ clip-path="url(#clipPath23841)"
+ id="g23837">
+ <path
+ inkscape:connector-curvature="0"
+ id="path23843"
+ style="fill:#150458;fill-opacity:1;fill-rule:nonzero;stroke:#ffffd8;stroke-width:1.57538962;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:1"
+ d="m 221.4,36 h 30.43636 v 81.8983 H 221.4 Z" />
+ </g>
+ </g>
+ <g
+ style="fill:#150458;fill-opacity:1;stroke:#ffffd8;stroke-width:1.57538962;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:1"
+ transform="matrix(0.1702344,0,0,-0.1702344,149.00467,168.43373)"
+ id="g23845">
+ <g
+ style="fill:#150458;fill-opacity:1;stroke:#ffffd8;stroke-width:1.57538962;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:1"
+ clip-path="url(#clipPath23851)"
+ id="g23847">
+ <path
+ inkscape:connector-curvature="0"
+ id="path23853"
+ style="fill:#150458;fill-opacity:1;fill-rule:nonzero;stroke:#ffffd8;stroke-width:1.57538962;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:1"
+ d="m 251.83636,36 h 30.43637 v 52.64891 h -30.43637 z" />
+ </g>
+ </g>
+ <g
+ style="fill:#150458;fill-opacity:1;stroke:#ffffd8;stroke-width:1.57538962;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:1"
+ transform="matrix(0.1702344,0,0,-0.1702344,149.00467,168.43373)"
+ id="g23855">
+ <g
+ style="fill:#150458;fill-opacity:1;stroke:#ffffd8;stroke-width:1.57538962;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:1"
+ clip-path="url(#clipPath23861)"
+ id="g23857">
+ <path
+ inkscape:connector-curvature="0"
+ id="path23863"
+ style="fill:#150458;fill-opacity:1;fill-rule:nonzero;stroke:#ffffd8;stroke-width:1.57538962;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:1"
+ d="m 282.27273,36 h 30.43636 v 28.079419 h -30.43636 z" />
+ </g>
+ </g>
+ <g
+ style="fill:#150458;fill-opacity:1;stroke:#ffffd8;stroke-width:1.57538962;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:1"
+ transform="matrix(0.1702344,0,0,-0.1702344,149.00467,168.43373)"
+ id="g23865">
+ <g
+ style="fill:#150458;fill-opacity:1;stroke:#ffffd8;stroke-width:1.57538962;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:1"
+ clip-path="url(#clipPath23871)"
+ id="g23867">
+ <path
+ inkscape:connector-curvature="0"
+ id="path23873"
+ style="fill:#150458;fill-opacity:1;fill-rule:nonzero;stroke:#ffffd8;stroke-width:1.57538962;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:1"
+ d="m 312.70909,36 h 30.43637 v 10.529782 h -30.43637 z" />
+ </g>
+ </g>
+ <path
+ d="M 158.19733,162.30529 V 125.28952"
+ style="fill:none;stroke:#505050;stroke-width:0.48043513;stroke-linecap:square;stroke-linejoin:miter;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:1"
+ id="path23993"
+ inkscape:connector-curvature="0" />
+ <path
+ d="m 158.19733,162.30529 h 56.99448"
+ style="fill:none;stroke:#505050;stroke-width:0.48043513;stroke-linecap:square;stroke-linejoin:miter;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:1"
+ id="path23997"
+ inkscape:connector-curvature="0" />
+ <g
+ transform="matrix(0.91342101,0,0,0.91342101,-19.440724,14.747995)"
+ id="g44700-2"
+ style="stroke-width:1.11152482">
+ <path
+ inkscape:connector-curvature="0"
+ id="path21134-8-9-1"
+ style="fill:none;stroke:#505050;stroke-width:0.48219332;stroke-linecap:square;stroke-linejoin:miter;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:1"
+ d="M 260.86839,161.56318 V 124.54899" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path21138-1-3-0"
+ style="fill:none;stroke:#505050;stroke-width:0.48240176;stroke-linecap:square;stroke-linejoin:miter;stroke-miterlimit:10;stroke-dasharray:none;stroke-opacity:1"
+ d="m 260.86839,161.56318 h 56.99204" />
+ </g>
+ <text
+ id="text47247-6-7-5"
+ y="146.26187"
+ x="234.65596"
+ style="font-style:normal;font-weight:normal;font-size:16.98972702px;line-height:1.25;font-family:sans-serif;letter-spacing:0px;word-spacing:0px;fill:#505050;fill-opacity:1;stroke:none;stroke-width:0.4721126"
+ xml:space="preserve"><tspan
+ style="font-style:normal;font-variant:normal;font-weight:normal;font-stretch:normal;font-size:11.32648563px;font-family:monospace;-inkscape-font-specification:monospace;fill:#505050;fill-opacity:1;stroke-width:0.4721126"
+ y="146.26187"
+ x="234.65596"
+ id="tspan47245-1-51-1"
+ sodipodi:role="line">...</tspan></text>
+ </g>
+ </g>
+</svg>
diff --git a/doc/source/_static/schemas/05_newcolumn_1.svg b/doc/source/_static/schemas/05_newcolumn_1.svg
new file mode 100644
index 0000000000000..c158aa932d38e
--- /dev/null
+++ b/doc/source/_static/schemas/05_newcolumn_1.svg
@@ -0,0 +1,347 @@
+<?xml version="1.0" encoding="UTF-8" standalone="no"?>
+<!-- Created with Inkscape (http://www.inkscape.org/) -->
+
+<svg
+ xmlns:dc="http://purl.org/dc/elements/1.1/"
+ xmlns:cc="http://creativecommons.org/ns#"
+ xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#"
+ xmlns:svg="http://www.w3.org/2000/svg"
+ xmlns="http://www.w3.org/2000/svg"
+ xmlns:sodipodi="http://sodipodi.sourceforge.net/DTD/sodipodi-0.dtd"
+ xmlns:inkscape="http://www.inkscape.org/namespaces/inkscape"
+ width="324.44537mm"
+ height="77.726311mm"
+ viewBox="0 0 324.44537 77.726311"
+ version="1.1"
+ id="svg9265"
+ inkscape:version="0.92.4 (f8dce91, 2019-08-02)"
+ sodipodi:docname="05_newcolumn_1.svg">
+ <defs
+ id="defs9259">
+ <marker
+ inkscape:stockid="Arrow2Lend"
+ orient="auto"
+ refY="0"
+ refX="0"
+ id="Arrow2Lend-7-6-9-4"
+ style="overflow:visible"
+ inkscape:isstock="true">
+ <path
+ inkscape:connector-curvature="0"
+ id="path7253-1-4-3-6"
+ style="fill:#000000;fill-opacity:1;fill-rule:evenodd;stroke:#000000;stroke-width:0.625;stroke-linejoin:round;stroke-opacity:1"
+ d="M 8.7185878,4.0337352 -2.2072895,0.01601326 8.7185884,-4.0017078 c -1.7454984,2.3720609 -1.7354408,5.6174519 -6e-7,8.035443 z"
+ transform="matrix(-1.1,0,0,-1.1,-1.1,0)" />
+ </marker>
+ </defs>
+ <sodipodi:namedview
+ id="base"
+ pagecolor="#ffffff"
+ bordercolor="#666666"
+ borderopacity="1.0"
+ inkscape:pageopacity="0.0"
+ inkscape:pageshadow="2"
+ inkscape:zoom="0.7"
+ inkscape:cx="662.36942"
+ inkscape:cy="1.4822257"
+ inkscape:document-units="mm"
+ inkscape:current-layer="layer1"
+ showgrid="false"
+ fit-margin-top="0"
+ fit-margin-left="0"
+ fit-margin-right="0"
+ fit-margin-bottom="0"
+ inkscape:window-width="1551"
+ inkscape:window-height="849"
+ inkscape:window-x="49"
+ inkscape:window-y="27"
+ inkscape:window-maximized="1" />
+ <metadata
+ id="metadata9262">
+ <rdf:RDF>
+ <cc:Work
+ rdf:about="">
+ <dc:format>image/svg+xml</dc:format>
+ <dc:type
+ rdf:resource="http://purl.org/dc/dcmitype/StillImage" />
+ <dc:title />
+ </cc:Work>
+ </rdf:RDF>
+ </metadata>
+ <g
+ inkscape:label="Layer 1"
+ inkscape:groupmode="layer"
+ id="layer1"
+ transform="translate(113.44795,-29.083275)">
+ <g
+ id="g938"
+ transform="matrix(0.89983835,0,0,0.89933325,4.8853597,6.8399466)"
+ style="stroke-width:1.11162269">
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-1-74-5-9"
+ style="fill:#afabab;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56920481;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m 83.23747,55.75353 h 24.88795 V 43.56556 H 83.23747 Z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-7-17-73-8"
+ style="fill:#afabab;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56920481;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m 109.65347,42.03751 h 24.88796 V 29.84956 h -24.88796 z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-1-9-1-2-1"
+ style="fill:#afabab;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56920481;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m 109.65347,55.75353 h 24.88796 V 43.56556 h -24.88796 z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-2-1-72-0"
+ style="fill:#afabab;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56920481;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m 83.23746,68.45353 h 24.88796 V 56.26557 H 83.23746 Z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-7-5-1-13-7"
+ style="fill:#afabab;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56920481;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m 109.65347,68.45353 h 24.88796 V 56.26557 h -24.88796 z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-6-7-4-6"
+ style="fill:#afabab;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56920481;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m 135.05347,42.03751 h 24.88796 V 29.84956 h -24.88796 z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-1-5-0-94-0"
+ style="fill:#afabab;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56920481;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m 135.05347,55.75353 h 24.88796 V 43.56556 h -24.88796 z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-2-3-4-1-1"
+ style="fill:#afabab;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56920481;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m 135.05347,68.45353 h 24.88796 V 56.26557 h -24.88796 z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-1-7-0-95-0"
+ style="fill:#afabab;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56920481;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m 83.23747,81.15354 h 24.88795 V 68.96558 H 83.23747 Z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-1-9-8-8-74-2"
+ style="fill:#afabab;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56920481;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m 109.65347,81.15354 h 24.88796 V 68.96558 h -24.88796 z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-1-7-8-51-1-5"
+ style="fill:#afabab;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56920481;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m 135.05347,81.15354 h 24.88796 V 68.96558 h -24.88796 z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-1-7-5-6-22-1"
+ style="fill:#afabab;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56920481;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m 83.23747,93.85355 h 24.88795 V 81.66559 H 83.23747 Z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-1-9-8-0-6-1-9"
+ style="fill:#afabab;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56920481;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m 109.65347,93.85355 h 24.88796 V 81.66559 h -24.88796 z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-1-7-8-5-21-62-7"
+ style="fill:#afabab;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56920481;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m 135.05347,93.85355 h 24.88796 V 81.66559 h -24.88796 z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-1-7-5-2-96-0-1"
+ style="fill:#afabab;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56920481;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m 83.23747,106.55356 h 24.88795 V 94.3656 H 83.23747 Z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-1-9-8-0-7-4-2-3"
+ style="fill:#afabab;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56920481;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m 109.65347,106.55356 h 24.88796 V 94.3656 h -24.88796 z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-1-7-8-5-2-8-2-1"
+ style="fill:#afabab;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56920481;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m 135.05347,106.55356 h 24.88796 V 94.3656 h -24.88796 z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-1-9-8-2-0-9-2"
+ style="fill:#afabab;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56920481;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m 160.45348,81.15354 h 24.88795 V 68.96558 h -24.88795 z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-7-8-8-7-0"
+ style="fill:#afabab;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56920481;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m 160.45347,42.03751 h 24.88796 V 29.84956 h -24.88796 z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-1-9-4-1-4-6"
+ style="fill:#afabab;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56920481;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m 160.45348,55.75353 h 24.88795 V 43.56556 h -24.88795 z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-7-5-5-0-3-8"
+ style="fill:#afabab;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56920481;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m 160.45347,68.45353 h 24.88796 V 56.26557 h -24.88796 z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-1-9-8-2-7-2-56-7"
+ style="fill:#afabab;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56920481;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m 160.45348,93.85355 h 24.88795 V 81.66559 h -24.88795 z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-1-9-8-2-7-1-29-1-4"
+ style="fill:#afabab;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56920481;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m 160.45348,106.55356 h 24.88795 V 94.3656 h -24.88795 z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-1-9-8-2-4-7-4-9-1"
+ style="fill:#e50387;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56920481;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="M 185.85348,81.15354 H 210.7414 V 68.96558 h -24.88792 z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-7-8-2-5-03-2-2"
+ style="fill:#e70488;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56920481;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="M 185.85348,42.03751 H 210.7414 V 29.84956 h -24.88792 z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-1-9-4-2-6-1-4-8"
+ style="fill:#e50387;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56920481;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="M 185.85348,55.75353 H 210.7414 V 43.56556 h -24.88792 z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-7-5-5-1-4-2-4-9"
+ style="fill:#e50387;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56920481;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="M 185.85348,68.45353 H 210.7414 V 56.26557 h -24.88792 z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-1-9-8-2-7-6-6-7-5-6"
+ style="fill:#e50387;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56920481;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="M 185.85348,93.85355 H 210.7414 V 81.66559 h -24.88792 z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-1-9-8-2-7-1-2-3-7-9-0"
+ style="fill:#e50387;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56920481;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="M 185.85348,106.55356 H 210.7414 V 94.3656 h -24.88792 z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-1-74-5-9-4"
+ style="fill:#afabab;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56920481;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m -113.19192,55.24327 h 24.88795 V 43.0553 h -24.88795 z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-7-17-73-8-7"
+ style="fill:#afabab;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56920481;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m -86.77592,41.52725 h 24.88795 V 29.3393 h -24.88795 z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-1-9-1-2-1-8"
+ style="fill:#afabab;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56920481;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m -86.77592,55.24327 h 24.88795 V 43.0553 h -24.88795 z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-2-1-72-0-6"
+ style="fill:#afabab;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56920481;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m -113.19193,67.94327 h 24.88796 V 55.75531 h -24.88796 z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-7-5-1-13-7-3"
+ style="fill:#afabab;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56920481;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m -86.77592,67.94327 h 24.88795 V 55.75531 h -24.88795 z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-6-7-4-6-7"
+ style="fill:#ffca00;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56920481;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m -61.37592,41.52725 h 24.88796 V 29.3393 h -24.88796 z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-1-5-0-94-0-7"
+ style="fill:#ffca00;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56920481;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m -61.37592,55.24327 h 24.88796 V 43.0553 h -24.88796 z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-2-3-4-1-1-2"
+ style="fill:#ffca00;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56920481;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m -61.37592,67.94327 h 24.88796 V 55.75531 h -24.88796 z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-1-7-0-95-0-3"
+ style="fill:#afabab;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56920481;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m -113.19192,80.64328 h 24.88795 V 68.45532 h -24.88795 z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-1-9-8-8-74-2-7"
+ style="fill:#afabab;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56920481;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m -86.77592,80.64328 h 24.88795 V 68.45532 h -24.88795 z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-1-7-8-51-1-5-2"
+ style="fill:#ffca00;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56920481;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m -61.37592,80.64328 h 24.88796 V 68.45532 h -24.88796 z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-1-7-5-6-22-1-5"
+ style="fill:#afabab;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56920481;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m -113.19192,93.34329 h 24.88795 V 81.15533 h -24.88795 z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-1-9-8-0-6-1-9-3"
+ style="fill:#afabab;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56920481;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m -86.77592,93.34329 h 24.88795 V 81.15533 h -24.88795 z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-1-7-8-5-21-62-7-7"
+ style="fill:#ffca00;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56920481;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m -61.37592,93.34329 h 24.88796 V 81.15533 h -24.88796 z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-1-7-5-2-96-0-1-6"
+ style="fill:#afabab;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56920481;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m -113.19192,106.0433 h 24.88795 V 93.85534 h -24.88795 z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-1-9-8-0-7-4-2-3-8"
+ style="fill:#afabab;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56920481;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m -86.77592,106.0433 h 24.88795 V 93.85534 h -24.88795 z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-1-7-8-5-2-8-2-1-1"
+ style="fill:#ffca00;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56920481;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m -61.37592,106.0433 h 24.88796 V 93.85534 h -24.88796 z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-1-9-8-2-0-9-2-3"
+ style="fill:#afabab;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56920481;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m -35.97591,80.64328 h 24.88794 V 68.45532 h -24.88794 z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-7-8-8-7-0-6"
+ style="fill:#afabab;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56920481;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m -35.97592,41.52725 h 24.88795 V 29.3393 h -24.88795 z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-1-9-4-1-4-6-4"
+ style="fill:#afabab;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56920481;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m -35.97591,55.24327 h 24.88794 V 43.0553 h -24.88794 z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-7-5-5-0-3-8-0"
+ style="fill:#afabab;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56920481;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m -35.97592,67.94327 h 24.88795 V 55.75531 h -24.88795 z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-1-9-8-2-7-2-56-7-3"
+ style="fill:#afabab;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56920481;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m -35.97591,93.34329 h 24.88794 V 81.15533 h -24.88794 z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-1-9-8-2-7-1-29-1-4-5"
+ style="fill:#afabab;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56920481;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m -35.97591,106.0433 h 24.88794 V 93.85534 h -24.88794 z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path6109-2-9-6-9"
+ d="M 14.43931,73.73504 H 62.32889"
+ style="fill:none;stroke:#000000;stroke-width:0.4446491;stroke-linecap:butt;stroke-linejoin:miter;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1;marker-end:url(#Arrow2Lend-7-6-9-4)" />
+ </g>
+ </g>
+</svg>
diff --git a/doc/source/_static/schemas/05_newcolumn_2.svg b/doc/source/_static/schemas/05_newcolumn_2.svg
new file mode 100644
index 0000000000000..8bd5ad9a26994
--- /dev/null
+++ b/doc/source/_static/schemas/05_newcolumn_2.svg
@@ -0,0 +1,347 @@
+<?xml version="1.0" encoding="UTF-8" standalone="no"?>
+<!-- Created with Inkscape (http://www.inkscape.org/) -->
+
+<svg
+ xmlns:dc="http://purl.org/dc/elements/1.1/"
+ xmlns:cc="http://creativecommons.org/ns#"
+ xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#"
+ xmlns:svg="http://www.w3.org/2000/svg"
+ xmlns="http://www.w3.org/2000/svg"
+ xmlns:sodipodi="http://sodipodi.sourceforge.net/DTD/sodipodi-0.dtd"
+ xmlns:inkscape="http://www.inkscape.org/namespaces/inkscape"
+ width="324.44537mm"
+ height="77.726311mm"
+ viewBox="0 0 324.44537 77.726311"
+ version="1.1"
+ id="svg9265"
+ inkscape:version="0.92.4 (f8dce91, 2019-08-02)"
+ sodipodi:docname="05_newcolumn_2.svg">
+ <defs
+ id="defs9259">
+ <marker
+ inkscape:stockid="Arrow2Lend"
+ orient="auto"
+ refY="0"
+ refX="0"
+ id="Arrow2Lend-7-6-9-4"
+ style="overflow:visible"
+ inkscape:isstock="true">
+ <path
+ inkscape:connector-curvature="0"
+ id="path7253-1-4-3-6"
+ style="fill:#000000;fill-opacity:1;fill-rule:evenodd;stroke:#000000;stroke-width:0.625;stroke-linejoin:round;stroke-opacity:1"
+ d="M 8.7185878,4.0337352 -2.2072895,0.01601326 8.7185884,-4.0017078 c -1.7454984,2.3720609 -1.7354408,5.6174519 -6e-7,8.035443 z"
+ transform="matrix(-1.1,0,0,-1.1,-1.1,0)" />
+ </marker>
+ </defs>
+ <sodipodi:namedview
+ id="base"
+ pagecolor="#ffffff"
+ bordercolor="#666666"
+ borderopacity="1.0"
+ inkscape:pageopacity="0.0"
+ inkscape:pageshadow="2"
+ inkscape:zoom="0.49497475"
+ inkscape:cx="419.63138"
+ inkscape:cy="230.09877"
+ inkscape:document-units="mm"
+ inkscape:current-layer="layer1"
+ showgrid="false"
+ fit-margin-top="0"
+ fit-margin-left="0"
+ fit-margin-right="0"
+ fit-margin-bottom="0"
+ inkscape:window-width="1551"
+ inkscape:window-height="849"
+ inkscape:window-x="49"
+ inkscape:window-y="27"
+ inkscape:window-maximized="1" />
+ <metadata
+ id="metadata9262">
+ <rdf:RDF>
+ <cc:Work
+ rdf:about="">
+ <dc:format>image/svg+xml</dc:format>
+ <dc:type
+ rdf:resource="http://purl.org/dc/dcmitype/StillImage" />
+ <dc:title />
+ </cc:Work>
+ </rdf:RDF>
+ </metadata>
+ <g
+ inkscape:label="Layer 1"
+ inkscape:groupmode="layer"
+ id="layer1"
+ transform="translate(113.44795,-29.083275)">
+ <g
+ id="g938"
+ transform="matrix(0.89984193,0,0,0.89933685,4.8851851,6.839702)"
+ style="stroke-width:1.11161828">
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-1-74-5-9"
+ style="fill:#afabab;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56920254;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m 83.23747,55.75353 h 24.88795 V 43.56556 H 83.23747 Z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-7-17-73-8"
+ style="fill:#afabab;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56920254;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m 109.65347,42.03751 h 24.88796 V 29.84956 h -24.88796 z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-1-9-1-2-1"
+ style="fill:#afabab;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56920254;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m 109.65347,55.75353 h 24.88796 V 43.56556 h -24.88796 z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-2-1-72-0"
+ style="fill:#afabab;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56920254;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m 83.23746,68.45353 h 24.88796 V 56.26557 H 83.23746 Z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-7-5-1-13-7"
+ style="fill:#afabab;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56920254;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m 109.65347,68.45353 h 24.88796 V 56.26557 h -24.88796 z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-6-7-4-6"
+ style="fill:#afabab;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56920254;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m 135.05347,42.03751 h 24.88796 V 29.84956 h -24.88796 z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-1-5-0-94-0"
+ style="fill:#afabab;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56920254;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m 135.05347,55.75353 h 24.88796 V 43.56556 h -24.88796 z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-2-3-4-1-1"
+ style="fill:#afabab;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56920254;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m 135.05347,68.45353 h 24.88796 V 56.26557 h -24.88796 z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-1-7-0-95-0"
+ style="fill:#afabab;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56920254;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m 83.23747,81.15354 h 24.88795 V 68.96558 H 83.23747 Z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-1-9-8-8-74-2"
+ style="fill:#afabab;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56920254;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m 109.65347,81.15354 h 24.88796 V 68.96558 h -24.88796 z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-1-7-8-51-1-5"
+ style="fill:#afabab;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56920254;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m 135.05347,81.15354 h 24.88796 V 68.96558 h -24.88796 z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-1-7-5-6-22-1"
+ style="fill:#afabab;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56920254;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m 83.23747,93.85355 h 24.88795 V 81.66559 H 83.23747 Z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-1-9-8-0-6-1-9"
+ style="fill:#afabab;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56920254;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m 109.65347,93.85355 h 24.88796 V 81.66559 h -24.88796 z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-1-7-8-5-21-62-7"
+ style="fill:#afabab;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56920254;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m 135.05347,93.85355 h 24.88796 V 81.66559 h -24.88796 z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-1-7-5-2-96-0-1"
+ style="fill:#afabab;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56920254;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m 83.23747,106.55356 h 24.88795 V 94.3656 H 83.23747 Z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-1-9-8-0-7-4-2-3"
+ style="fill:#afabab;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56920254;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m 109.65347,106.55356 h 24.88796 V 94.3656 h -24.88796 z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-1-7-8-5-2-8-2-1"
+ style="fill:#afabab;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56920254;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m 135.05347,106.55356 h 24.88796 V 94.3656 h -24.88796 z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-1-9-8-2-0-9-2"
+ style="fill:#afabab;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56920254;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m 160.45348,81.15354 h 24.88795 V 68.96558 h -24.88795 z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-7-8-8-7-0"
+ style="fill:#afabab;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56920254;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m 160.45347,42.03751 h 24.88796 V 29.84956 h -24.88796 z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-1-9-4-1-4-6"
+ style="fill:#afabab;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56920254;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m 160.45348,55.75353 h 24.88795 V 43.56556 h -24.88795 z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-7-5-5-0-3-8"
+ style="fill:#afabab;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56920254;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m 160.45347,68.45353 h 24.88796 V 56.26557 h -24.88796 z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-1-9-8-2-7-2-56-7"
+ style="fill:#afabab;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56920254;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m 160.45348,93.85355 h 24.88795 V 81.66559 h -24.88795 z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-1-9-8-2-7-1-29-1-4"
+ style="fill:#afabab;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56920254;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m 160.45348,106.55356 h 24.88795 V 94.3656 h -24.88795 z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-1-9-8-2-4-7-4-9-1"
+ style="fill:#e50387;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56920254;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="M 185.85348,81.15354 H 210.7414 V 68.96558 h -24.88792 z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-7-8-2-5-03-2-2"
+ style="fill:#e70488;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56920254;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="M 185.85348,42.03751 H 210.7414 V 29.84956 h -24.88792 z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-1-9-4-2-6-1-4-8"
+ style="fill:#e50387;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56920254;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="M 185.85348,55.75353 H 210.7414 V 43.56556 h -24.88792 z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-7-5-5-1-4-2-4-9"
+ style="fill:#e50387;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56920254;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="M 185.85348,68.45353 H 210.7414 V 56.26557 h -24.88792 z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-1-9-8-2-7-6-6-7-5-6"
+ style="fill:#e50387;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56920254;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="M 185.85348,93.85355 H 210.7414 V 81.66559 h -24.88792 z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-1-9-8-2-7-1-2-3-7-9-0"
+ style="fill:#e50387;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56920254;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="M 185.85348,106.55356 H 210.7414 V 94.3656 h -24.88792 z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-1-74-5-9-4"
+ style="fill:#afabab;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56920254;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m -113.19192,55.24327 h 24.88795 V 43.0553 h -24.88795 z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-7-17-73-8-7"
+ style="fill:#afabab;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56920254;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m -86.77592,41.52725 h 24.88795 V 29.3393 h -24.88795 z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-1-9-1-2-1-8"
+ style="fill:#afabab;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56920254;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m -86.77592,55.24327 h 24.88795 V 43.0553 h -24.88795 z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-2-1-72-0-6"
+ style="fill:#afabab;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56920254;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m -113.19193,67.94327 h 24.88796 V 55.75531 h -24.88796 z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-7-5-1-13-7-3"
+ style="fill:#afabab;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56920254;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m -86.77592,67.94327 h 24.88795 V 55.75531 h -24.88795 z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-6-7-4-6-7"
+ style="fill:#150458;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56920254;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m -61.37592,41.52725 h 24.88796 V 29.3393 h -24.88796 z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-1-5-0-94-0-7"
+ style="fill:#140357;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56920254;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m -61.37592,55.24327 h 24.88796 V 43.0553 h -24.88796 z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-2-3-4-1-1-2"
+ style="fill:#140357;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56920254;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m -61.37592,67.94327 h 24.88796 V 55.75531 h -24.88796 z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-1-7-0-95-0-3"
+ style="fill:#afabab;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56920254;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m -113.19192,80.64328 h 24.88795 V 68.45532 h -24.88795 z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-1-9-8-8-74-2-7"
+ style="fill:#afabab;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56920254;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m -86.77592,80.64328 h 24.88795 V 68.45532 h -24.88795 z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-1-7-8-51-1-5-2"
+ style="fill:#140357;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56920254;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m -61.37592,80.64328 h 24.88796 V 68.45532 h -24.88796 z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-1-7-5-6-22-1-5"
+ style="fill:#afabab;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56920254;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m -113.19192,93.34329 h 24.88795 V 81.15533 h -24.88795 z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-1-9-8-0-6-1-9-3"
+ style="fill:#afabab;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56920254;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m -86.77592,93.34329 h 24.88795 V 81.15533 h -24.88795 z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-1-7-8-5-21-62-7-7"
+ style="fill:#140357;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56920254;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m -61.37592,93.34329 h 24.88796 V 81.15533 h -24.88796 z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-1-7-5-2-96-0-1-6"
+ style="fill:#afabab;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56920254;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m -113.19192,106.0433 h 24.88795 V 93.85534 h -24.88795 z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-1-9-8-0-7-4-2-3-8"
+ style="fill:#afabab;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56920254;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m -86.77592,106.0433 h 24.88795 V 93.85534 h -24.88795 z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-1-7-8-5-2-8-2-1-1"
+ style="fill:#140357;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56920254;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m -61.37592,106.0433 h 24.88796 V 93.85534 h -24.88796 z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-1-9-8-2-0-9-2-3"
+ style="fill:#ffc900;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56920254;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m -35.97591,80.64328 h 24.88794 V 68.45532 h -24.88794 z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-7-8-8-7-0-6"
+ style="fill:#ffca00;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56920254;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m -35.97592,41.52725 h 24.88795 V 29.3393 h -24.88795 z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-1-9-4-1-4-6-4"
+ style="fill:#ffc900;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56920254;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m -35.97591,55.24327 h 24.88794 V 43.0553 h -24.88794 z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-7-5-5-0-3-8-0"
+ style="fill:#ffc900;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56920254;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m -35.97592,67.94327 h 24.88795 V 55.75531 h -24.88795 z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-1-9-8-2-7-2-56-7-3"
+ style="fill:#ffc900;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56920254;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m -35.97591,93.34329 h 24.88794 V 81.15533 h -24.88794 z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-1-9-8-2-7-1-29-1-4-5"
+ style="fill:#ffc900;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56920254;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m -35.97591,106.0433 h 24.88794 V 93.85534 h -24.88794 z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path6109-2-9-6-9"
+ d="M 14.43931,73.73504 H 62.32889"
+ style="fill:none;stroke:#000000;stroke-width:0.44464734;stroke-linecap:butt;stroke-linejoin:miter;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1;marker-end:url(#Arrow2Lend-7-6-9-4)" />
+ </g>
+ </g>
+</svg>
diff --git a/doc/source/_static/schemas/05_newcolumn_3.svg b/doc/source/_static/schemas/05_newcolumn_3.svg
new file mode 100644
index 0000000000000..45272d8c9a368
--- /dev/null
+++ b/doc/source/_static/schemas/05_newcolumn_3.svg
@@ -0,0 +1,352 @@
+<?xml version="1.0" encoding="UTF-8" standalone="no"?>
+<!-- Created with Inkscape (http://www.inkscape.org/) -->
+
+<svg
+ xmlns:dc="http://purl.org/dc/elements/1.1/"
+ xmlns:cc="http://creativecommons.org/ns#"
+ xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#"
+ xmlns:svg="http://www.w3.org/2000/svg"
+ xmlns="http://www.w3.org/2000/svg"
+ xmlns:sodipodi="http://sodipodi.sourceforge.net/DTD/sodipodi-0.dtd"
+ xmlns:inkscape="http://www.inkscape.org/namespaces/inkscape"
+ width="324.44537mm"
+ height="77.726311mm"
+ viewBox="0 0 324.44537 77.726311"
+ version="1.1"
+ id="svg9265"
+ inkscape:version="0.92.4 (f8dce91, 2019-08-02)"
+ sodipodi:docname="05_newcolumn_3.svg">
+ <defs
+ id="defs9259">
+ <marker
+ inkscape:stockid="Arrow2Lend"
+ orient="auto"
+ refY="0"
+ refX="0"
+ id="Arrow2Lend-7-6-9-4"
+ style="overflow:visible"
+ inkscape:isstock="true">
+ <path
+ inkscape:connector-curvature="0"
+ id="path7253-1-4-3-6"
+ style="fill:#000000;fill-opacity:1;fill-rule:evenodd;stroke:#000000;stroke-width:0.625;stroke-linejoin:round;stroke-opacity:1"
+ d="M 8.7185878,4.0337352 -2.2072895,0.01601326 8.7185884,-4.0017078 c -1.7454984,2.3720609 -1.7354408,5.6174519 -6e-7,8.035443 z"
+ transform="matrix(-1.1,0,0,-1.1,-1.1,0)" />
+ </marker>
+ </defs>
+ <sodipodi:namedview
+ id="base"
+ pagecolor="#ffffff"
+ bordercolor="#666666"
+ borderopacity="1.0"
+ inkscape:pageopacity="0.0"
+ inkscape:pageshadow="2"
+ inkscape:zoom="0.49497475"
+ inkscape:cx="398.22496"
+ inkscape:cy="-188.87908"
+ inkscape:document-units="mm"
+ inkscape:current-layer="layer1"
+ showgrid="false"
+ fit-margin-top="0"
+ fit-margin-left="0"
+ fit-margin-right="0"
+ fit-margin-bottom="0"
+ inkscape:window-width="1551"
+ inkscape:window-height="849"
+ inkscape:window-x="49"
+ inkscape:window-y="27"
+ inkscape:window-maximized="1" />
+ <metadata
+ id="metadata9262">
+ <rdf:RDF>
+ <cc:Work
+ rdf:about="">
+ <dc:format>image/svg+xml</dc:format>
+ <dc:type
+ rdf:resource="http://purl.org/dc/dcmitype/StillImage" />
+ <dc:title />
+ </cc:Work>
+ </rdf:RDF>
+ </metadata>
+ <g
+ inkscape:label="Layer 1"
+ inkscape:groupmode="layer"
+ id="layer1"
+ transform="translate(113.44795,-29.083275)">
+ <g
+ id="g940"
+ transform="matrix(0.89984193,0,0,0.89933685,4.8851851,6.839702)"
+ style="stroke-width:1.11161828">
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-1-74-5-9"
+ style="fill:#afabab;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56920254;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m 83.23747,55.75353 h 24.88795 V 43.56556 H 83.23747 Z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-7-17-73-8"
+ style="fill:#afabab;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56920254;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m 109.65347,42.03751 h 24.88796 V 29.84956 h -24.88796 z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-1-9-1-2-1"
+ style="fill:#afabab;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56920254;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m 109.65347,55.75353 h 24.88796 V 43.56556 h -24.88796 z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-2-1-72-0"
+ style="fill:#afabab;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56920254;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m 83.23746,68.45353 h 24.88796 V 56.26557 H 83.23746 Z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-7-5-1-13-7"
+ style="fill:#afabab;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56920254;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m 109.65347,68.45353 h 24.88796 V 56.26557 h -24.88796 z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-6-7-4-6"
+ style="fill:#afabab;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56920254;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m 135.05347,42.03751 h 24.88796 V 29.84956 h -24.88796 z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-1-5-0-94-0"
+ style="fill:#afabab;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56920254;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m 135.05347,55.75353 h 24.88796 V 43.56556 h -24.88796 z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-2-3-4-1-1"
+ style="fill:#afabab;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56920254;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m 135.05347,68.45353 h 24.88796 V 56.26557 h -24.88796 z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-1-7-0-95-0"
+ style="fill:#afabab;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56920254;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m 83.23747,81.15354 h 24.88795 V 68.96558 H 83.23747 Z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-1-9-8-8-74-2"
+ style="fill:#afabab;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56920254;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m 109.65347,81.15354 h 24.88796 V 68.96558 h -24.88796 z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-1-7-8-51-1-5"
+ style="fill:#afabab;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56920254;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m 135.05347,81.15354 h 24.88796 V 68.96558 h -24.88796 z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-1-7-5-6-22-1"
+ style="fill:#afabab;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56920254;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m 83.23747,93.85355 h 24.88795 V 81.66559 H 83.23747 Z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-1-9-8-0-6-1-9"
+ style="fill:#afabab;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56920254;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m 109.65347,93.85355 h 24.88796 V 81.66559 h -24.88796 z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-1-7-8-5-21-62-7"
+ style="fill:#afabab;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56920254;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m 135.05347,93.85355 h 24.88796 V 81.66559 h -24.88796 z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-1-7-5-2-96-0-1"
+ style="fill:#afabab;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56920254;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m 83.23747,106.55356 h 24.88795 V 94.3656 H 83.23747 Z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-1-9-8-0-7-4-2-3"
+ style="fill:#afabab;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56920254;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m 109.65347,106.55356 h 24.88796 V 94.3656 h -24.88796 z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-1-7-8-5-2-8-2-1"
+ style="fill:#afabab;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56920254;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m 135.05347,106.55356 h 24.88796 V 94.3656 h -24.88796 z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-1-9-8-2-0-9-2"
+ style="fill:#afabab;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56920254;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m 160.45348,81.15354 h 24.88795 V 68.96558 h -24.88795 z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-7-8-8-7-0"
+ style="fill:#afabab;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56920254;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m 160.45347,42.03751 h 24.88796 V 29.84956 h -24.88796 z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-1-9-4-1-4-6"
+ style="fill:#afabab;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56920254;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m 160.45348,55.75353 h 24.88795 V 43.56556 h -24.88795 z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-7-5-5-0-3-8"
+ style="fill:#afabab;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56920254;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m 160.45347,68.45353 h 24.88796 V 56.26557 h -24.88796 z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-1-9-8-2-7-2-56-7"
+ style="fill:#afabab;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56920254;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m 160.45348,93.85355 h 24.88795 V 81.66559 h -24.88795 z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-1-9-8-2-7-1-29-1-4"
+ style="fill:#afabab;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56920254;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m 160.45348,106.55356 h 24.88795 V 94.3656 h -24.88795 z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-1-9-8-2-4-7-4-9-1"
+ style="fill:#e50387;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56920254;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="M 185.85348,81.15354 H 210.7414 V 68.96558 h -24.88792 z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-7-8-2-5-03-2-2"
+ style="fill:#e70488;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56920254;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="M 185.85348,42.03751 H 210.7414 V 29.84956 h -24.88792 z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-1-9-4-2-6-1-4-8"
+ style="fill:#e50387;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56920254;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="M 185.85348,55.75353 H 210.7414 V 43.56556 h -24.88792 z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-7-5-5-1-4-2-4-9"
+ style="fill:#e50387;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56920254;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="M 185.85348,68.45353 H 210.7414 V 56.26557 h -24.88792 z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-1-9-8-2-7-6-6-7-5-6"
+ style="fill:#e50387;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56920254;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="M 185.85348,93.85355 H 210.7414 V 81.66559 h -24.88792 z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-1-9-8-2-7-1-2-3-7-9-0"
+ style="fill:#e50387;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56920254;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="M 185.85348,106.55356 H 210.7414 V 94.3656 h -24.88792 z" />
+ <g
+ transform="translate(200.11428,-607.97617)"
+ id="g50992"
+ style="stroke-width:1.11161828">
+ <path
+ d="m -313.3062,663.21944 h 24.88795 v -12.18797 h -24.88795 z"
+ style="fill:#afabab;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56920254;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ id="path4891-1-50-8-2-1-74-5-9-4"
+ inkscape:connector-curvature="0" />
+ <path
+ d="m -286.8902,649.50342 h 24.88795 v -12.18795 h -24.88795 z"
+ style="fill:#afabab;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56920254;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ id="path4891-1-50-8-2-7-17-73-8-7"
+ inkscape:connector-curvature="0" />
+ <path
+ d="m -286.8902,663.21944 h 24.88795 v -12.18797 h -24.88795 z"
+ style="fill:#afabab;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56920254;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ id="path4891-1-50-8-2-1-9-1-2-1-8"
+ inkscape:connector-curvature="0" />
+ <path
+ d="m -313.30621,675.91944 h 24.88796 v -12.18796 h -24.88796 z"
+ style="fill:#afabab;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56920254;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ id="path4891-1-50-8-2-2-1-72-0-6"
+ inkscape:connector-curvature="0" />
+ <path
+ d="m -286.8902,675.91944 h 24.88795 v -12.18796 h -24.88795 z"
+ style="fill:#afabab;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56920254;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ id="path4891-1-50-8-2-7-5-1-13-7-3"
+ inkscape:connector-curvature="0" />
+ <path
+ d="m -261.4902,649.50342 h 24.88796 v -12.18795 h -24.88796 z"
+ style="fill:#afabab;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56920254;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ id="path4891-1-50-8-2-6-7-4-6-7"
+ inkscape:connector-curvature="0" />
+ <path
+ d="m -261.4902,663.21944 h 24.88796 v -12.18797 h -24.88796 z"
+ style="fill:#afabab;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56920254;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ id="path4891-1-50-8-2-1-5-0-94-0-7"
+ inkscape:connector-curvature="0" />
+ <path
+ d="m -261.4902,675.91944 h 24.88796 v -12.18796 h -24.88796 z"
+ style="fill:#afabab;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56920254;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ id="path4891-1-50-8-2-2-3-4-1-1-2"
+ inkscape:connector-curvature="0" />
+ <path
+ d="m -313.3062,688.61945 h 24.88795 v -12.18796 h -24.88795 z"
+ style="fill:#afabab;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56920254;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ id="path4891-1-50-8-2-1-7-0-95-0-3"
+ inkscape:connector-curvature="0" />
+ <path
+ d="m -286.8902,688.61945 h 24.88795 v -12.18796 h -24.88795 z"
+ style="fill:#afabab;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56920254;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ id="path4891-1-50-8-2-1-9-8-8-74-2-7"
+ inkscape:connector-curvature="0" />
+ <path
+ d="m -261.4902,688.61945 h 24.88796 v -12.18796 h -24.88796 z"
+ style="fill:#afabab;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56920254;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ id="path4891-1-50-8-2-1-7-8-51-1-5-2"
+ inkscape:connector-curvature="0" />
+ <path
+ d="m -313.3062,701.31946 h 24.88795 V 689.1315 h -24.88795 z"
+ style="fill:#afabab;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56920254;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ id="path4891-1-50-8-2-1-7-5-6-22-1-5"
+ inkscape:connector-curvature="0" />
+ <path
+ d="m -286.8902,701.31946 h 24.88795 V 689.1315 h -24.88795 z"
+ style="fill:#afabab;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56920254;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ id="path4891-1-50-8-2-1-9-8-0-6-1-9-3"
+ inkscape:connector-curvature="0" />
+ <path
+ d="m -261.4902,701.31946 h 24.88796 V 689.1315 h -24.88796 z"
+ style="fill:#afabab;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56920254;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ id="path4891-1-50-8-2-1-7-8-5-21-62-7-7"
+ inkscape:connector-curvature="0" />
+ <path
+ d="m -313.3062,714.01947 h 24.88795 v -12.18796 h -24.88795 z"
+ style="fill:#afabab;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56920254;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ id="path4891-1-50-8-2-1-7-5-2-96-0-1-6"
+ inkscape:connector-curvature="0" />
+ <path
+ d="m -286.8902,714.01947 h 24.88795 v -12.18796 h -24.88795 z"
+ style="fill:#afabab;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56920254;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ id="path4891-1-50-8-2-1-9-8-0-7-4-2-3-8"
+ inkscape:connector-curvature="0" />
+ <path
+ d="m -261.4902,714.01947 h 24.88796 v -12.18796 h -24.88796 z"
+ style="fill:#afabab;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56920254;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ id="path4891-1-50-8-2-1-7-8-5-2-8-2-1-1"
+ inkscape:connector-curvature="0" />
+ <path
+ d="m -236.09019,688.61945 h 24.88794 v -12.18796 h -24.88794 z"
+ style="fill:#afabab;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56920254;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ id="path4891-1-50-8-2-1-9-8-2-0-9-2-3"
+ inkscape:connector-curvature="0" />
+ <path
+ d="m -236.0902,649.50342 h 24.88795 v -12.18795 h -24.88795 z"
+ style="fill:#afabab;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56920254;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ id="path4891-1-50-8-2-7-8-8-7-0-6"
+ inkscape:connector-curvature="0" />
+ <path
+ d="m -236.09019,663.21944 h 24.88794 v -12.18797 h -24.88794 z"
+ style="fill:#afabab;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56920254;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ id="path4891-1-50-8-2-1-9-4-1-4-6-4"
+ inkscape:connector-curvature="0" />
+ <path
+ d="m -236.0902,675.91944 h 24.88795 v -12.18796 h -24.88795 z"
+ style="fill:#afabab;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56920254;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ id="path4891-1-50-8-2-7-5-5-0-3-8-0"
+ inkscape:connector-curvature="0" />
+ <path
+ d="m -236.09019,701.31946 h 24.88794 V 689.1315 h -24.88794 z"
+ style="fill:#afabab;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56920254;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ id="path4891-1-50-8-2-1-9-8-2-7-2-56-7-3"
+ inkscape:connector-curvature="0" />
+ <path
+ d="m -236.09019,714.01947 h 24.88794 v -12.18796 h -24.88794 z"
+ style="fill:#afabab;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56920254;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ id="path4891-1-50-8-2-1-9-8-2-7-1-29-1-4-5"
+ inkscape:connector-curvature="0" />
+ </g>
+ <path
+ inkscape:connector-curvature="0"
+ id="path6109-2-9-6-9"
+ d="M 14.43931,73.73504 H 62.32889"
+ style="fill:none;stroke:#000000;stroke-width:0.44464734;stroke-linecap:butt;stroke-linejoin:miter;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1;marker-end:url(#Arrow2Lend-7-6-9-4)" />
+ </g>
+ </g>
+</svg>
diff --git a/doc/source/_static/schemas/06_aggregate.svg b/doc/source/_static/schemas/06_aggregate.svg
new file mode 100644
index 0000000000000..14428feda44ec
--- /dev/null
+++ b/doc/source/_static/schemas/06_aggregate.svg
@@ -0,0 +1,211 @@
+<?xml version="1.0" encoding="UTF-8" standalone="no"?>
+<!-- Created with Inkscape (http://www.inkscape.org/) -->
+
+<svg
+ xmlns:dc="http://purl.org/dc/elements/1.1/"
+ xmlns:cc="http://creativecommons.org/ns#"
+ xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#"
+ xmlns:svg="http://www.w3.org/2000/svg"
+ xmlns="http://www.w3.org/2000/svg"
+ xmlns:sodipodi="http://sodipodi.sourceforge.net/DTD/sodipodi-0.dtd"
+ xmlns:inkscape="http://www.inkscape.org/namespaces/inkscape"
+ width="252.24091mm"
+ height="77.216049mm"
+ viewBox="0 0 252.2409 77.216049"
+ version="1.1"
+ id="svg11151"
+ inkscape:version="0.92.4 (f8dce91, 2019-08-02)"
+ sodipodi:docname="06_aggregate.svg">
+ <defs
+ id="defs11145">
+ <marker
+ inkscape:stockid="Arrow2Lend"
+ orient="auto"
+ refY="0"
+ refX="0"
+ id="Arrow2Lend-7-6-9-4-2"
+ style="overflow:visible"
+ inkscape:isstock="true">
+ <path
+ inkscape:connector-curvature="0"
+ id="path7253-1-4-3-6-9"
+ style="fill:#000000;fill-opacity:1;fill-rule:evenodd;stroke:#000000;stroke-width:0.625;stroke-linejoin:round;stroke-opacity:1"
+ d="M 8.7185878,4.0337352 -2.2072895,0.01601326 8.7185884,-4.0017078 c -1.7454984,2.3720609 -1.7354408,5.6174519 -6e-7,8.035443 z"
+ transform="matrix(-1.1,0,0,-1.1,-1.1,0)" />
+ </marker>
+ </defs>
+ <sodipodi:namedview
+ id="base"
+ pagecolor="#ffffff"
+ bordercolor="#666666"
+ borderopacity="1.0"
+ inkscape:pageopacity="0.0"
+ inkscape:pageshadow="2"
+ inkscape:zoom="0.49497475"
+ inkscape:cx="248.04006"
+ inkscape:cy="-37.739686"
+ inkscape:document-units="mm"
+ inkscape:current-layer="layer1"
+ showgrid="false"
+ fit-margin-top="0"
+ fit-margin-left="0"
+ fit-margin-right="0"
+ fit-margin-bottom="0"
+ inkscape:window-width="1551"
+ inkscape:window-height="849"
+ inkscape:window-x="49"
+ inkscape:window-y="27"
+ inkscape:window-maximized="1" />
+ <metadata
+ id="metadata11148">
+ <rdf:RDF>
+ <cc:Work
+ rdf:about="">
+ <dc:format>image/svg+xml</dc:format>
+ <dc:type
+ rdf:resource="http://purl.org/dc/dcmitype/StillImage" />
+ <dc:title></dc:title>
+ </cc:Work>
+ </rdf:RDF>
+ </metadata>
+ <g
+ inkscape:label="Layer 1"
+ inkscape:groupmode="layer"
+ id="layer1"
+ transform="translate(-3.5465457,-106.44555)">
+ <g
+ id="g910"
+ transform="matrix(0.89979659,0,0,0.89933244,12.993074,14.602189)"
+ style="stroke-width:1.11164904">
+ <g
+ id="g882"
+ style="stroke-width:1.11164904">
+ <path
+ d="m 230.64348,151.14755 h 24.88795 v -12.18796 h -24.88795 z"
+ style="fill:#e50387;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56921828;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ id="path4891-1-50-8-2-1-9-6-8"
+ inkscape:connector-curvature="0" />
+ <path
+ d="M 3.80258,132.60554 H 28.69052 V 120.41757 H 3.80258 Z"
+ style="fill:#afabab;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56921828;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ id="path4891-1-50-8-2-1-74-6"
+ inkscape:connector-curvature="0" />
+ <path
+ d="M 30.21857,118.88952 H 55.10652 V 106.70157 H 30.21857 Z"
+ style="fill:#ffca00;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56921828;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ id="path4891-1-50-8-2-7-17-40"
+ inkscape:connector-curvature="0" />
+ <path
+ d="M 30.21857,132.60554 H 55.10652 V 120.41757 H 30.21857 Z"
+ style="fill:#ffc900;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56921828;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ id="path4891-1-50-8-2-1-9-1-94"
+ inkscape:connector-curvature="0" />
+ <path
+ d="M 3.80257,145.30554 H 28.69052 V 133.11758 H 3.80257 Z"
+ style="fill:#afabab;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56921828;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ id="path4891-1-50-8-2-2-1-5"
+ inkscape:connector-curvature="0" />
+ <path
+ d="M 30.21857,145.30554 H 55.10652 V 133.11758 H 30.21857 Z"
+ style="fill:#ffc900;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56921828;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ id="path4891-1-50-8-2-7-5-1-4"
+ inkscape:connector-curvature="0" />
+ <path
+ d="M 55.61857,118.88952 H 80.50653 V 106.70157 H 55.61857 Z"
+ style="fill:#afabab;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56921828;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ id="path4891-1-50-8-2-6-7-6"
+ inkscape:connector-curvature="0" />
+ <path
+ d="M 55.61857,132.60554 H 80.50653 V 120.41757 H 55.61857 Z"
+ style="fill:#afabab;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56921828;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ id="path4891-1-50-8-2-1-5-0-6"
+ inkscape:connector-curvature="0" />
+ <path
+ d="M 55.61857,145.30554 H 80.50653 V 133.11758 H 55.61857 Z"
+ style="fill:#afabab;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56921828;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ id="path4891-1-50-8-2-2-3-4-39"
+ inkscape:connector-curvature="0" />
+ <path
+ d="M 3.80258,158.00555 H 28.69052 V 145.81759 H 3.80258 Z"
+ style="fill:#afabab;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56921828;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ id="path4891-1-50-8-2-1-7-0-95"
+ inkscape:connector-curvature="0" />
+ <path
+ d="M 30.21857,158.00555 H 55.10652 V 145.81759 H 30.21857 Z"
+ style="fill:#ffc900;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56921828;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ id="path4891-1-50-8-2-1-9-8-8-2"
+ inkscape:connector-curvature="0" />
+ <path
+ d="M 55.61857,158.00555 H 80.50653 V 145.81759 H 55.61857 Z"
+ style="fill:#afabab;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56921828;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ id="path4891-1-50-8-2-1-7-8-51-1"
+ inkscape:connector-curvature="0" />
+ <path
+ d="M 3.80258,170.70556 H 28.69052 V 158.5176 H 3.80258 Z"
+ style="fill:#afabab;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56921828;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ id="path4891-1-50-8-2-1-7-5-6-3"
+ inkscape:connector-curvature="0" />
+ <path
+ d="M 30.21857,170.70556 H 55.10652 V 158.5176 H 30.21857 Z"
+ style="fill:#ffc900;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56921828;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ id="path4891-1-50-8-2-1-9-8-0-6-0"
+ inkscape:connector-curvature="0" />
+ <path
+ d="M 55.61857,170.70556 H 80.50653 V 158.5176 H 55.61857 Z"
+ style="fill:#afabab;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56921828;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ id="path4891-1-50-8-2-1-7-8-5-21-9"
+ inkscape:connector-curvature="0" />
+ <path
+ d="M 3.80258,183.40557 H 28.69052 V 171.21761 H 3.80258 Z"
+ style="fill:#afabab;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56921828;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ id="path4891-1-50-8-2-1-7-5-2-96-9"
+ inkscape:connector-curvature="0" />
+ <path
+ d="M 30.21857,183.40557 H 55.10652 V 171.21761 H 30.21857 Z"
+ style="fill:#ffc900;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56921828;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ id="path4891-1-50-8-2-1-9-8-0-7-4-1"
+ inkscape:connector-curvature="0" />
+ <path
+ d="M 55.61857,183.40557 H 80.50653 V 171.21761 H 55.61857 Z"
+ style="fill:#afabab;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56921828;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ id="path4891-1-50-8-2-1-7-8-5-2-8-34"
+ inkscape:connector-curvature="0" />
+ <path
+ d="m 81.01858,158.00555 h 24.88794 V 145.81759 H 81.01858 Z"
+ style="fill:#afabab;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56921828;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ id="path4891-1-50-8-2-1-9-8-2-0-58"
+ inkscape:connector-curvature="0" />
+ <path
+ d="m 81.01857,118.88952 h 24.88795 V 106.70157 H 81.01857 Z"
+ style="fill:#afabab;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56921828;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ id="path4891-1-50-8-2-7-8-8-5"
+ inkscape:connector-curvature="0" />
+ <path
+ d="m 81.01858,132.60554 h 24.88794 V 120.41757 H 81.01858 Z"
+ style="fill:#afabab;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56921828;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ id="path4891-1-50-8-2-1-9-4-1-73"
+ inkscape:connector-curvature="0" />
+ <path
+ d="m 81.01857,145.30554 h 24.88795 V 133.11758 H 81.01857 Z"
+ style="fill:#afabab;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56921828;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ id="path4891-1-50-8-2-7-5-5-0-3"
+ inkscape:connector-curvature="0" />
+ <path
+ d="m 81.01858,170.70556 h 24.88794 V 158.5176 H 81.01858 Z"
+ style="fill:#afabab;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56921828;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ id="path4891-1-50-8-2-1-9-8-2-7-2-89"
+ inkscape:connector-curvature="0" />
+ <path
+ d="m 81.01858,183.40557 h 24.88794 V 171.21761 H 81.01858 Z"
+ style="fill:#afabab;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56921828;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ id="path4891-1-50-8-2-1-9-8-2-7-1-29-55"
+ inkscape:connector-curvature="0" />
+ <path
+ style="fill:none;stroke:#000000;stroke-width:0.44465962;stroke-linecap:butt;stroke-linejoin:miter;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1;marker-end:url(#Arrow2Lend-7-6-9-4-2)"
+ d="m 149.73091,145.06062 h 47.88958"
+ id="path6109-2-9-6-9-0"
+ inkscape:connector-curvature="0" />
+ </g>
+ </g>
+ </g>
+</svg>
diff --git a/doc/source/_static/schemas/06_groupby.svg b/doc/source/_static/schemas/06_groupby.svg
new file mode 100644
index 0000000000000..ca4d32be7084b
--- /dev/null
+++ b/doc/source/_static/schemas/06_groupby.svg
@@ -0,0 +1,307 @@
+<?xml version="1.0" encoding="UTF-8" standalone="no"?>
+<!-- Created with Inkscape (http://www.inkscape.org/) -->
+
+<svg
+ xmlns:dc="http://purl.org/dc/elements/1.1/"
+ xmlns:cc="http://creativecommons.org/ns#"
+ xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#"
+ xmlns:svg="http://www.w3.org/2000/svg"
+ xmlns="http://www.w3.org/2000/svg"
+ xmlns:sodipodi="http://sodipodi.sourceforge.net/DTD/sodipodi-0.dtd"
+ xmlns:inkscape="http://www.inkscape.org/namespaces/inkscape"
+ width="464.94458mm"
+ height="165.19176mm"
+ viewBox="0 0 464.94458 165.19176"
+ version="1.1"
+ id="svg14732"
+ inkscape:version="0.92.4 (f8dce91, 2019-08-02)"
+ sodipodi:docname="06_groupby.svg">
+ <defs
+ id="defs14726">
+ <marker
+ inkscape:stockid="Arrow2Lend"
+ orient="auto"
+ refY="0"
+ refX="0"
+ id="Arrow2Lend-7-6-9-4-2-3-3"
+ style="overflow:visible"
+ inkscape:isstock="true">
+ <path
+ inkscape:connector-curvature="0"
+ id="path7253-1-4-3-6-9-2-86"
+ style="fill:#000000;fill-opacity:1;fill-rule:evenodd;stroke:#000000;stroke-width:0.625;stroke-linejoin:round;stroke-opacity:1"
+ d="M 8.7185878,4.0337352 -2.2072895,0.01601326 8.7185884,-4.0017078 c -1.7454984,2.3720609 -1.7354408,5.6174519 -6e-7,8.035443 z"
+ transform="matrix(-1.1,0,0,-1.1,-1.1,0)" />
+ </marker>
+ <marker
+ inkscape:stockid="Arrow2Lend"
+ orient="auto"
+ refY="0"
+ refX="0"
+ id="Arrow2Lend-7-6-9-4-2-3-1-7"
+ style="overflow:visible"
+ inkscape:isstock="true">
+ <path
+ inkscape:connector-curvature="0"
+ id="path7253-1-4-3-6-9-2-8-3"
+ style="fill:#000000;fill-opacity:1;fill-rule:evenodd;stroke:#000000;stroke-width:0.625;stroke-linejoin:round;stroke-opacity:1"
+ d="M 8.7185878,4.0337352 -2.2072895,0.01601326 8.7185884,-4.0017078 c -1.7454984,2.3720609 -1.7354408,5.6174519 -6e-7,8.035443 z"
+ transform="matrix(-1.1,0,0,-1.1,-1.1,0)" />
+ </marker>
+ </defs>
+ <sodipodi:namedview
+ id="base"
+ pagecolor="#ffffff"
+ bordercolor="#666666"
+ borderopacity="1.0"
+ inkscape:pageopacity="0.0"
+ inkscape:pageshadow="2"
+ inkscape:zoom="0.49497475"
+ inkscape:cx="808.73401"
+ inkscape:cy="127.43429"
+ inkscape:document-units="mm"
+ inkscape:current-layer="layer1"
+ showgrid="false"
+ fit-margin-top="0"
+ fit-margin-left="0"
+ fit-margin-right="0"
+ fit-margin-bottom="0"
+ inkscape:window-width="1551"
+ inkscape:window-height="849"
+ inkscape:window-x="49"
+ inkscape:window-y="27"
+ inkscape:window-maximized="1" />
+ <metadata
+ id="metadata14729">
+ <rdf:RDF>
+ <cc:Work
+ rdf:about="">
+ <dc:format>image/svg+xml</dc:format>
+ <dc:type
+ rdf:resource="http://purl.org/dc/dcmitype/StillImage" />
+ <dc:title />
+ </cc:Work>
+ </rdf:RDF>
+ </metadata>
+ <g
+ inkscape:label="Layer 1"
+ inkscape:groupmode="layer"
+ id="layer1"
+ transform="translate(120.59136,-57.166026)">
+ <path
+ d="m -107.12734,127.31387 h 24.887965 V 115.1259 h -24.887965 z"
+ style="fill:#afabab;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.51204854;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ id="path4891-1-50-8-2-1-9-1-94-33-8"
+ inkscape:connector-curvature="0" />
+ <path
+ d="m -107.12734,140.01387 h 24.887965 v -12.18796 h -24.887965 z"
+ style="fill:#afabab;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.51204854;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ id="path4891-1-50-8-2-7-5-1-4-9-6"
+ inkscape:connector-curvature="0" />
+ <path
+ d="m -81.727335,113.59785 h 24.88796 V 101.4099 h -24.88796 z"
+ style="fill:#150458;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.51204854;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ id="path4891-1-50-8-2-6-7-6-4-5"
+ inkscape:connector-curvature="0" />
+ <path
+ d="m -81.727335,127.31387 h 24.88796 V 115.1259 h -24.88796 z"
+ style="fill:#8b6ff9;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.51204854;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ id="path4891-1-50-8-2-1-5-0-6-9-2"
+ inkscape:connector-curvature="0" />
+ <path
+ d="m -81.727335,140.01387 h 24.88796 v -12.18796 h -24.88796 z"
+ style="fill:#2808ac;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.51204854;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ id="path4891-1-50-8-2-2-3-4-39-9-4"
+ inkscape:connector-curvature="0" />
+ <path
+ d="m -107.12734,152.71388 h 24.887965 v -12.18796 h -24.887965 z"
+ style="fill:#afabab;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.51204854;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ id="path4891-1-50-8-2-1-9-8-8-2-9-0"
+ inkscape:connector-curvature="0" />
+ <path
+ d="m -81.727335,152.71388 h 24.88796 v -12.18796 h -24.88796 z"
+ style="fill:#8b6ff9;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.51204854;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ id="path4891-1-50-8-2-1-7-8-51-1-4-6"
+ inkscape:connector-curvature="0" />
+ <path
+ d="m -107.12734,165.41389 h 24.887965 v -12.18796 h -24.887965 z"
+ style="fill:#afabab;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.51204854;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ id="path4891-1-50-8-2-1-9-8-0-6-0-0-5"
+ inkscape:connector-curvature="0" />
+ <path
+ d="m -81.727335,165.41389 h 24.88796 v -12.18796 h -24.88796 z"
+ style="fill:#8b6ff9;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.51204854;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ id="path4891-1-50-8-2-1-7-8-5-21-9-6-4"
+ inkscape:connector-curvature="0" />
+ <path
+ d="m -107.12734,178.1139 h 24.887965 v -12.18796 h -24.887965 z"
+ style="fill:#afabab;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.51204854;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ id="path4891-1-50-8-2-1-9-8-0-7-4-1-9-4"
+ inkscape:connector-curvature="0" />
+ <path
+ d="m -81.727335,178.1139 h 24.88796 v -12.18796 h -24.88796 z"
+ style="fill:#2808ac;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.51204854;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ id="path4891-1-50-8-2-1-7-8-5-2-8-34-5-6"
+ inkscape:connector-curvature="0" />
+ <path
+ d="m -56.327325,152.71388 h 24.88795 v -12.18796 h -24.88795 z"
+ style="fill:#ffc900;fill-opacity:0.39215687;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.51204854;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ id="path4891-1-50-8-2-1-9-8-2-0-58-6-8"
+ inkscape:connector-curvature="0" />
+ <path
+ d="m -56.327335,113.59785 h 24.88796 V 101.4099 h -24.88796 z"
+ style="fill:#ffca00;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.51204854;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ id="path4891-1-50-8-2-7-8-8-5-1-3"
+ inkscape:connector-curvature="0" />
+ <path
+ d="m -56.327325,127.31387 h 24.88795 V 115.1259 h -24.88795 z"
+ style="fill:#ffc900;fill-opacity:0.39215687;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.51204854;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ id="path4891-1-50-8-2-1-9-4-1-73-1-2"
+ inkscape:connector-curvature="0" />
+ <path
+ d="m -56.327335,140.01387 h 24.88796 v -12.18796 h -24.88796 z"
+ style="fill:#ffc900;fill-opacity:0.39215687;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.51204854;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ id="path4891-1-50-8-2-7-5-5-0-3-4-3"
+ inkscape:connector-curvature="0" />
+ <path
+ d="m -56.327325,165.41389 h 24.88795 v -12.18796 h -24.88795 z"
+ style="fill:#ffc900;fill-opacity:0.39215687;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.51204854;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ id="path4891-1-50-8-2-1-9-8-2-7-2-89-3-6"
+ inkscape:connector-curvature="0" />
+ <path
+ d="m -56.327325,178.1139 h 24.88795 v -12.18796 h -24.88795 z"
+ style="fill:#ffc900;fill-opacity:0.39215687;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.51204854;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ id="path4891-1-50-8-2-1-9-8-2-7-1-29-55-7-22"
+ inkscape:connector-curvature="0" />
+ <path
+ d="m 279.58525,146.36389 h 24.88794 v -12.18797 h -24.88794 z"
+ style="fill:#8b6ff9;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.51204854;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ id="path4891-1-50-8-2-1-74-6-3-4-4"
+ inkscape:connector-curvature="0" />
+ <path
+ d="M 306.00124,132.64787 H 330.8892 V 120.45992 H 306.00124 Z"
+ style="fill:#ffca00;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.51204854;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ id="path4891-1-50-8-2-7-17-40-0-4-7"
+ inkscape:connector-curvature="0" />
+ <path
+ d="M 306.00124,146.36389 H 330.8892 V 134.17592 H 306.00124 Z"
+ style="fill:#e50387;fill-opacity:0.39215687;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.51204854;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ id="path4891-1-50-8-2-1-9-1-94-33-4-0"
+ inkscape:connector-curvature="0" />
+ <path
+ d="m 279.58524,159.06389 h 24.88795 v -12.18796 h -24.88795 z"
+ style="fill:#2808ac;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.51204854;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ id="path4891-1-50-8-2-2-1-5-7-9-4"
+ inkscape:connector-curvature="0" />
+ <path
+ d="M 306.00124,159.06389 H 330.8892 V 146.87593 H 306.00124 Z"
+ style="fill:#e50387;fill-opacity:0.39215687;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.51204854;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ id="path4891-1-50-8-2-7-5-1-4-9-9-9"
+ inkscape:connector-curvature="0" />
+ <path
+ style="fill:none;stroke:#000000;stroke-width:0.40000001;stroke-linecap:butt;stroke-linejoin:miter;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1;marker-end:url(#Arrow2Lend-7-6-9-4-2-3-3)"
+ d="m 203.45015,139.76895 h 47.88958"
+ id="path6109-2-9-6-9-0-9-4"
+ inkscape:connector-curvature="0" />
+ <path
+ style="fill:none;stroke:#000000;stroke-width:0.40000001;stroke-linecap:butt;stroke-linejoin:miter;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1;marker-end:url(#Arrow2Lend-7-6-9-4-2-3-1-7)"
+ d="M -3.8625116,139.76895 H 44.027068"
+ id="path6109-2-9-6-9-0-9-7-0"
+ inkscape:connector-curvature="0" />
+ <path
+ d="m 86.228953,184.50217 h 24.887957 v -12.1879 H 86.228953 Z"
+ style="fill:#afabab;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.51204854;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ id="path4891-1-50-8-2-1-9-1-94-33-49-2-90"
+ inkscape:connector-curvature="0" />
+ <path
+ d="m 86.228953,197.20217 h 24.887957 v -12.1879 H 86.228953 Z"
+ style="fill:#afabab;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.51204854;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ id="path4891-1-50-8-2-7-5-1-4-9-5-7-4"
+ inkscape:connector-curvature="0" />
+ <path
+ d="m 111.62895,170.78617 h 24.88796 v -12.1879 h -24.88796 z"
+ style="fill:#150458;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.51204854;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ id="path4891-1-50-8-2-6-7-6-4-7-9-85"
+ inkscape:connector-curvature="0" />
+ <path
+ d="m 111.62895,184.50217 h 24.88796 v -12.1879 h -24.88796 z"
+ style="fill:#2808ac;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.51204854;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ id="path4891-1-50-8-2-1-5-0-6-9-3-5-8"
+ inkscape:connector-curvature="0" />
+ <path
+ d="m 111.62895,197.20217 h 24.88796 v -12.1879 h -24.88796 z"
+ style="fill:#2808ac;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.51204854;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ id="path4891-1-50-8-2-2-3-4-39-9-9-6-2"
+ inkscape:connector-curvature="0" />
+ <path
+ d="m 137.02895,170.78617 h 24.88796 v -12.1879 h -24.88796 z"
+ style="fill:#ffca00;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.51204854;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ id="path4891-1-50-8-2-7-8-8-5-1-1-21-2"
+ inkscape:connector-curvature="0" />
+ <path
+ d="m 137.02896,184.50217 h 24.88795 v -12.1879 h -24.88795 z"
+ style="fill:#ffc900;fill-opacity:0.39215687;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.51204854;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ id="path4891-1-50-8-2-1-9-4-1-73-1-7-0-0"
+ inkscape:connector-curvature="0" />
+ <path
+ d="m 137.02895,197.20217 h 24.88796 v -12.1879 h -24.88796 z"
+ style="fill:#ffc900;fill-opacity:0.39215687;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.51204854;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ id="path4891-1-50-8-2-7-5-5-0-3-4-9-5-6"
+ inkscape:connector-curvature="0" />
+ <path
+ d="M 86.228963,108.22561 H 111.11692 V 96.037639 H 86.228963 Z"
+ style="fill:#afabab;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.51204854;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ id="path4891-1-50-8-2-1-9-1-94-33-8-7"
+ inkscape:connector-curvature="0" />
+ <path
+ d="M 86.228963,120.92561 H 111.11692 V 108.73765 H 86.228963 Z"
+ style="fill:#afabab;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.51204854;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ id="path4891-1-50-8-2-7-5-1-4-9-6-3"
+ inkscape:connector-curvature="0" />
+ <path
+ d="m 111.62896,94.509589 h 24.88796 v -12.18795 h -24.88796 z"
+ style="fill:#150458;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.51204854;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ id="path4891-1-50-8-2-6-7-6-4-5-5"
+ inkscape:connector-curvature="0" />
+ <path
+ d="m 111.62896,108.22561 h 24.88796 V 96.037639 h -24.88796 z"
+ style="fill:#8b6ff9;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.51204854;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ id="path4891-1-50-8-2-1-5-0-6-9-2-6"
+ inkscape:connector-curvature="0" />
+ <path
+ d="m 111.62896,120.92561 h 24.88796 v -12.18796 h -24.88796 z"
+ style="fill:#8b6ff9;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.51204854;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ id="path4891-1-50-8-2-2-3-4-39-9-4-2"
+ inkscape:connector-curvature="0" />
+ <path
+ d="M 86.228963,133.62562 H 111.11692 V 121.43766 H 86.228963 Z"
+ style="fill:#afabab;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.51204854;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ id="path4891-1-50-8-2-1-9-8-8-2-9-0-1"
+ inkscape:connector-curvature="0" />
+ <path
+ d="m 111.62896,133.62562 h 24.88796 v -12.18796 h -24.88796 z"
+ style="fill:#8b6ff9;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.51204854;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ id="path4891-1-50-8-2-1-7-8-51-1-4-6-2"
+ inkscape:connector-curvature="0" />
+ <path
+ d="m 137.02897,133.62562 h 24.88795 v -12.18796 h -24.88795 z"
+ style="fill:#ffc900;fill-opacity:0.39215687;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.51204854;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ id="path4891-1-50-8-2-1-9-8-2-0-58-6-8-7"
+ inkscape:connector-curvature="0" />
+ <path
+ d="m 137.02896,94.509589 h 24.88796 v -12.18795 h -24.88796 z"
+ style="fill:#ffca00;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.51204854;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ id="path4891-1-50-8-2-7-8-8-5-1-3-0"
+ inkscape:connector-curvature="0" />
+ <path
+ d="m 137.02897,108.22561 h 24.88795 V 96.037639 h -24.88795 z"
+ style="fill:#ffc900;fill-opacity:0.39215687;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.51204854;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ id="path4891-1-50-8-2-1-9-4-1-73-1-2-9"
+ inkscape:connector-curvature="0" />
+ <path
+ d="m 137.02896,120.92561 h 24.88796 v -12.18796 h -24.88796 z"
+ style="fill:#ffc900;fill-opacity:0.39215687;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.51204854;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ id="path4891-1-50-8-2-7-5-5-0-3-4-3-3"
+ inkscape:connector-curvature="0" />
+ </g>
+</svg>
diff --git a/doc/source/_static/schemas/06_groupby_agg_detail.svg b/doc/source/_static/schemas/06_groupby_agg_detail.svg
new file mode 100644
index 0000000000000..23a78d3ed2a9e
--- /dev/null
+++ b/doc/source/_static/schemas/06_groupby_agg_detail.svg
@@ -0,0 +1,619 @@
+<?xml version="1.0" encoding="UTF-8" standalone="no"?>
+<!-- Created with Inkscape (http://www.inkscape.org/) -->
+
+<svg
+ xmlns:dc="http://purl.org/dc/elements/1.1/"
+ xmlns:cc="http://creativecommons.org/ns#"
+ xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#"
+ xmlns:svg="http://www.w3.org/2000/svg"
+ xmlns="http://www.w3.org/2000/svg"
+ xmlns:sodipodi="http://sodipodi.sourceforge.net/DTD/sodipodi-0.dtd"
+ xmlns:inkscape="http://www.inkscape.org/namespaces/inkscape"
+ width="636.6601mm"
+ height="189.74704mm"
+ viewBox="0 0 636.6601 189.74704"
+ version="1.1"
+ id="svg17926"
+ inkscape:version="0.92.4 (f8dce91, 2019-08-02)"
+ sodipodi:docname="06_groupby_agg_detail.svg">
+ <defs
+ id="defs17920">
+ <marker
+ inkscape:stockid="Arrow2Lend"
+ orient="auto"
+ refY="0"
+ refX="0"
+ id="Arrow2Lend-7-6-9-4-2-3-12"
+ style="overflow:visible"
+ inkscape:isstock="true">
+ <path
+ inkscape:connector-curvature="0"
+ id="path7253-1-4-3-6-9-2-6"
+ style="fill:#000000;fill-opacity:1;fill-rule:evenodd;stroke:#000000;stroke-width:0.625;stroke-linejoin:round;stroke-opacity:1"
+ d="M 8.7185878,4.0337352 -2.2072895,0.01601326 8.7185884,-4.0017078 c -1.7454984,2.3720609 -1.7354408,5.6174519 -6e-7,8.035443 z"
+ transform="matrix(-1.1,0,0,-1.1,-1.1,0)" />
+ </marker>
+ <marker
+ inkscape:stockid="Arrow2Lend"
+ orient="auto"
+ refY="0"
+ refX="0"
+ id="Arrow2Lend-7-6-9-4-2-3-1-5"
+ style="overflow:visible"
+ inkscape:isstock="true">
+ <path
+ inkscape:connector-curvature="0"
+ id="path7253-1-4-3-6-9-2-8-0"
+ style="fill:#000000;fill-opacity:1;fill-rule:evenodd;stroke:#000000;stroke-width:0.625;stroke-linejoin:round;stroke-opacity:1"
+ d="M 8.7185878,4.0337352 -2.2072895,0.01601326 8.7185884,-4.0017078 c -1.7454984,2.3720609 -1.7354408,5.6174519 -6e-7,8.035443 z"
+ transform="matrix(-1.1,0,0,-1.1,-1.1,0)" />
+ </marker>
+ <marker
+ inkscape:stockid="Arrow2Lend"
+ orient="auto"
+ refY="0"
+ refX="0"
+ id="Arrow2Lend-7-6-9-4-2-3-1-5-6"
+ style="overflow:visible"
+ inkscape:isstock="true">
+ <path
+ inkscape:connector-curvature="0"
+ id="path7253-1-4-3-6-9-2-8-0-3"
+ style="fill:#000000;fill-opacity:1;fill-rule:evenodd;stroke:#000000;stroke-width:0.625;stroke-linejoin:round;stroke-opacity:1"
+ d="M 8.7185878,4.0337352 -2.2072895,0.01601326 8.7185884,-4.0017078 c -1.7454984,2.3720609 -1.7354408,5.6174519 -6e-7,8.035443 z"
+ transform="matrix(-1.1,0,0,-1.1,-1.1,0)" />
+ </marker>
+ <marker
+ inkscape:stockid="Arrow2Lend"
+ orient="auto"
+ refY="0"
+ refX="0"
+ id="Arrow2Lend-7-6-9-4-2-3-1"
+ style="overflow:visible"
+ inkscape:isstock="true">
+ <path
+ inkscape:connector-curvature="0"
+ id="path7253-1-4-3-6-9-2-8"
+ style="fill:#000000;fill-opacity:1;fill-rule:evenodd;stroke:#000000;stroke-width:0.625;stroke-linejoin:round;stroke-opacity:1"
+ d="M 8.7185878,4.0337352 -2.2072895,0.01601326 8.7185884,-4.0017078 c -1.7454984,2.3720609 -1.7354408,5.6174519 -6e-7,8.035443 z"
+ transform="matrix(-1.1,0,0,-1.1,-1.1,0)" />
+ </marker>
+ <marker
+ inkscape:stockid="Arrow2Lend"
+ orient="auto"
+ refY="0"
+ refX="0"
+ id="Arrow2Lend-7-6-9-4-2-3"
+ style="overflow:visible"
+ inkscape:isstock="true">
+ <path
+ inkscape:connector-curvature="0"
+ id="path7253-1-4-3-6-9-2"
+ style="fill:#000000;fill-opacity:1;fill-rule:evenodd;stroke:#000000;stroke-width:0.625;stroke-linejoin:round;stroke-opacity:1"
+ d="M 8.7185878,4.0337352 -2.2072895,0.01601326 8.7185884,-4.0017078 c -1.7454984,2.3720609 -1.7354408,5.6174519 -6e-7,8.035443 z"
+ transform="matrix(-1.1,0,0,-1.1,-1.1,0)" />
+ </marker>
+ </defs>
+ <sodipodi:namedview
+ id="base"
+ pagecolor="#ffffff"
+ bordercolor="#666666"
+ borderopacity="1.0"
+ inkscape:pageopacity="0.0"
+ inkscape:pageshadow="2"
+ inkscape:zoom="0.24748737"
+ inkscape:cx="1089.6106"
+ inkscape:cy="-100.5864"
+ inkscape:document-units="mm"
+ inkscape:current-layer="layer1"
+ showgrid="false"
+ inkscape:window-width="1875"
+ inkscape:window-height="1029"
+ inkscape:window-x="45"
+ inkscape:window-y="27"
+ inkscape:window-maximized="1"
+ fit-margin-top="0"
+ fit-margin-left="0"
+ fit-margin-right="0"
+ fit-margin-bottom="0" />
+ <metadata
+ id="metadata17923">
+ <rdf:RDF>
+ <cc:Work
+ rdf:about="">
+ <dc:format>image/svg+xml</dc:format>
+ <dc:type
+ rdf:resource="http://purl.org/dc/dcmitype/StillImage" />
+ <dc:title />
+ </cc:Work>
+ </rdf:RDF>
+ </metadata>
+ <g
+ inkscape:label="Layer 1"
+ inkscape:groupmode="layer"
+ id="layer1"
+ transform="translate(335.37904,-157.22519)">
+ <g
+ style="stroke-width:1.1112442"
+ id="g1993"
+ transform="matrix(0.89991951,0,0,0.89986489,18.49749,25.231115)">
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-1-74-6-3"
+ style="fill:#afabab;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56901097;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m -357.57363,270.5441 h 24.88794 v -12.18799 h -24.88794 z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-7-17-40-0"
+ style="fill:#afabab;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56901097;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m -331.15764,256.82806 h 24.88797 v -12.18795 h -24.88797 z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-1-9-1-94-33"
+ style="fill:#afabab;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56901097;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m -331.15764,270.5441 h 24.88797 v -12.18799 h -24.88797 z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-2-1-5-7"
+ style="fill:#afabab;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56901097;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m -357.57364,283.2441 h 24.88795 v -12.188 h -24.88795 z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-7-5-1-4-9"
+ style="fill:#afabab;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56901097;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m -331.15764,283.2441 h 24.88797 v -12.188 h -24.88797 z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-6-7-6-4"
+ style="fill:#150458;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56901097;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m -305.75763,256.82806 h 24.88796 v -12.18795 h -24.88796 z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-1-5-0-6-9"
+ style="fill:#8b6ff9;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56901097;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m -305.75763,270.5441 h 24.88796 v -12.18799 h -24.88796 z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-2-3-4-39-9"
+ style="fill:#2808ac;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56901097;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m -305.75763,283.2441 h 24.88796 v -12.188 h -24.88796 z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-1-7-0-95-1"
+ style="fill:#afabab;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56901097;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m -357.57363,295.9441 h 24.88794 v -12.188 h -24.88794 z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-1-9-8-8-2-9"
+ style="fill:#afabab;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56901097;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m -331.15764,295.9441 h 24.88797 v -12.188 h -24.88797 z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-1-7-8-51-1-4"
+ style="fill:#8b6ff9;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56901097;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m -305.75763,295.9441 h 24.88796 v -12.188 h -24.88796 z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-1-7-5-6-3-2"
+ style="fill:#afabab;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56901097;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m -357.57363,308.6441 h 24.88794 v -12.188 h -24.88794 z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-1-9-8-0-6-0-0"
+ style="fill:#afabab;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56901097;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m -331.15764,308.6441 h 24.88797 v -12.188 h -24.88797 z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-1-7-8-5-21-9-6"
+ style="fill:#8b6ff9;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56901097;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m -305.75763,308.6441 h 24.88796 v -12.188 h -24.88796 z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-1-7-5-2-96-9-5"
+ style="fill:#afabab;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56901097;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m -357.57363,321.3441 h 24.88794 v -12.1879 h -24.88794 z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-1-9-8-0-7-4-1-9"
+ style="fill:#afabab;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56901097;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m -331.15764,321.3441 h 24.88797 v -12.1879 h -24.88797 z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-1-7-8-5-2-8-34-5"
+ style="fill:#2808ac;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56901097;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m -305.75763,321.3441 h 24.88796 v -12.1879 h -24.88796 z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-1-9-8-2-0-58-6"
+ style="fill:#afabab;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56901097;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m -280.35763,295.9441 h 24.88796 v -12.188 h -24.88796 z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-7-8-8-5-1"
+ style="fill:#afabab;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56901097;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m -280.35763,256.82806 h 24.88796 v -12.18795 h -24.88796 z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-1-9-4-1-73-1"
+ style="fill:#afabab;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56901097;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m -280.35763,270.5441 h 24.88796 v -12.18799 h -24.88796 z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-7-5-5-0-3-4"
+ style="fill:#afabab;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56901097;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m -280.35763,283.2441 h 24.88796 v -12.188 h -24.88796 z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-1-9-8-2-7-2-89-3"
+ style="fill:#adabab;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56901097;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m -280.35763,308.6441 h 24.88796 v -12.188 h -24.88796 z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-1-9-8-2-7-1-29-55-7"
+ style="fill:#afabab;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56901097;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m -280.35763,321.3441 h 24.88796 v -12.1879 h -24.88796 z" />
+ </g>
+ <path
+ style="fill:none;stroke:#000000;stroke-width:0.40000001;stroke-linecap:butt;stroke-linejoin:miter;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1;marker-end:url(#Arrow2Lend-7-6-9-4-2-3)"
+ d="m 135.58895,279.89212 h 43.09677"
+ id="path6109-2-9-6-9-0-9"
+ inkscape:connector-curvature="0" />
+ <path
+ style="fill:none;stroke:#000000;stroke-width:0.40000001;stroke-linecap:butt;stroke-linejoin:miter;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1;marker-end:url(#Arrow2Lend-7-6-9-4-2-3-1)"
+ d="m -190.52748,279.89212 h 43.09677"
+ id="path6109-2-9-6-9-0-9-7"
+ inkscape:connector-curvature="0" />
+ <g
+ aria-label=" titanic .groupby("Sex") .mean()"
+ transform="scale(1.0000303,0.99996965)"
+ style="font-style:normal;font-weight:normal;font-size:18.18744659px;line-height:1.25;font-family:sans-serif;letter-spacing:0px;word-spacing:0px;fill:#000000;fill-opacity:1;stroke:none;stroke-width:0.50526738"
+ id="text56748-3">
+ <path
+ d="m -279.70486,171.2281 h -3.49199 v -1.80056 c 0,-0.873 -0.0728,-1.23675 -0.70931,-1.23675 -0.47287,0 -0.69112,0.25463 -0.69112,0.74569 0,0.23644 0,0.40012 0,0.47287 v 1.81875 h -0.98212 c -0.85481,0 -1.21856,0.0546 -1.21856,0.63656 0,0.4365 0.21825,0.61837 0.70931,0.61837 h 1.49137 v 2.96456 c 0,0.0909 0,0.18187 0,0.27281 0,0.81843 0.0182,1.52774 0.32738,2.05518 0.50924,0.89118 1.45499,1.32768 2.81905,1.32768 0.83662,0 1.76418,-0.23643 2.87362,-0.67293 0.65474,-0.25463 0.98212,-0.50925 0.98212,-0.92756 0,-0.32738 -0.291,-0.63656 -0.61838,-0.63656 -0.70931,0 -1.89149,0.94574 -3.3283,0.94574 -1.56412,0 -1.67324,-0.94574 -1.67324,-2.36436 v -2.96456 h 3.60111 c 0.49106,0 0.74569,-0.20006 0.74569,-0.61837 0,-0.45469 -0.27281,-0.63656 -0.83663,-0.63656 z"
+ style="font-style:normal;font-variant:normal;font-weight:normal;font-stretch:normal;font-family:'Courier 10 Pitch';-inkscape-font-specification:'Courier 10 Pitch';stroke-width:0.50526738"
+ id="path1031" />
+ <path
+ d="m -270.36447,177.68464 v -6.58385 c 0,-0.21825 -0.16368,-0.36375 -0.50924,-0.36375 h -2.60081 c -0.47287,0 -0.70931,0.20006 -0.70931,0.61837 0,0.41831 0.25463,0.63656 0.74569,0.63656 h 1.7278 v 5.69267 h -2.70993 c -0.49106,0 -0.74568,0.20006 -0.74568,0.61837 0,0.41832 0.23644,0.63657 0.70931,0.63657 h 6.89304 c 0.52744,0 0.7275,-0.12732 0.7275,-0.63657 0,-0.43649 -0.21825,-0.61837 -0.67294,-0.61837 z m -1.65505,-9.51203 c 0,0.72749 0.18187,0.87299 0.92756,0.87299 0.85481,0 0.90937,-0.20006 0.90937,-1.12762 0,-0.92756 -0.0909,-1.20037 -0.90937,-1.20037 -0.81844,0 -0.92756,0.27281 -0.92756,1.455 z"
+ style="font-style:normal;font-variant:normal;font-weight:normal;font-stretch:normal;font-family:'Courier 10 Pitch';-inkscape-font-specification:'Courier 10 Pitch';stroke-width:0.50526738"
+ id="path1033" />
+ <path
+ d="m -257.82309,171.2281 h -3.49199 v -1.80056 c 0,-0.873 -0.0727,-1.23675 -0.70931,-1.23675 -0.47287,0 -0.69112,0.25463 -0.69112,0.74569 0,0.23644 0,0.40012 0,0.47287 v 1.81875 h -0.98212 c -0.85481,0 -1.21856,0.0546 -1.21856,0.63656 0,0.4365 0.21825,0.61837 0.70931,0.61837 h 1.49137 v 2.96456 c 0,0.0909 0,0.18187 0,0.27281 0,0.81843 0.0182,1.52774 0.32737,2.05518 0.50925,0.89118 1.455,1.32768 2.81906,1.32768 0.83662,0 1.76418,-0.23643 2.87362,-0.67293 0.65474,-0.25463 0.98212,-0.50925 0.98212,-0.92756 0,-0.32738 -0.291,-0.63656 -0.61838,-0.63656 -0.70931,0 -1.89149,0.94574 -3.3283,0.94574 -1.56412,0 -1.67324,-0.94574 -1.67324,-2.36436 v -2.96456 h 3.60111 c 0.49106,0 0.74569,-0.20006 0.74569,-0.61837 0,-0.45469 -0.27282,-0.63656 -0.83663,-0.63656 z"
+ style="font-style:normal;font-variant:normal;font-weight:normal;font-stretch:normal;font-family:'Courier 10 Pitch';-inkscape-font-specification:'Courier 10 Pitch';stroke-width:0.50526738"
+ id="path1035" />
+ <path
+ d="m -247.28232,177.81195 0.0909,0.54563 c 0.0728,0.38193 0.291,0.582 0.61838,0.582 h 1.40043 c 0.47287,0 0.70931,-0.21825 0.70931,-0.63657 0,-0.52743 -0.30919,-0.61837 -1.05487,-0.61837 h -0.45469 v -4.01942 c 0,-2.14612 -1.05487,-3.14643 -3.3283,-3.14643 -2.00062,0 -3.31011,0.63656 -3.31011,1.25493 0,0.45469 0.27281,0.74569 0.60018,0.74569 0.69112,0 1.41862,-0.74569 2.67356,-0.74569 1.36405,0 2.00061,0.63656 2.00061,2.00062 0,0.0182 0,0.0364 0,0.0546 -0.72749,-0.18187 -1.41862,-0.27281 -2.10974,-0.27281 -2.63718,0 -4.11036,1.10944 -4.11036,2.94637 0,1.56412 1.16399,2.65536 2.94636,2.65536 1.21856,0 2.36437,-0.47287 3.32831,-1.34587 z m -0.0546,-2.80086 v 0.96393 c 0,0.80025 -1.45499,1.81875 -3.05549,1.81875 -1.03668,0 -1.74599,-0.60019 -1.74599,-1.38225 0,-1.00031 1.03668,-1.70962 2.92818,-1.70962 0.65475,0 1.27312,0.10912 1.8733,0.30919 z"
+ style="font-style:normal;font-variant:normal;font-weight:normal;font-stretch:normal;font-family:'Courier 10 Pitch';-inkscape-font-specification:'Courier 10 Pitch';stroke-width:0.50526738"
+ id="path1037" />
+ <path
+ d="m -241.67036,177.68464 c -0.0728,0 -0.12731,0 -0.18187,0 -0.7275,0 -1.03669,0.10913 -1.03669,0.61837 0,0.41832 0.23644,0.63657 0.74569,0.63657 0.23644,0 0.40012,0 0.47287,0 h 1.61869 c 0.67293,0 0.94574,-0.0364 0.94574,-0.63657 0,-0.49106 -0.23643,-0.63656 -0.85481,-0.63656 -0.10912,0 -0.23643,0.0182 -0.38193,0.0182 v -3.69205 c 0,-1.32768 1.23674,-2.12793 2.3098,-2.12793 1.164,0 1.81875,0.70931 1.81875,2.12793 v 3.69205 c -0.10913,0 -0.20007,0 -0.291,0 -0.63656,0 -0.89119,0.12731 -0.89119,0.61837 0,0.582 0.25463,0.63657 0.89119,0.63657 h 1.96424 c 0.63656,0 0.94575,-0.12732 0.94575,-0.63657 0,-0.45468 -0.27281,-0.61837 -0.83662,-0.61837 -0.12732,0 -0.27282,0 -0.40013,0 v -4.01942 c 0,-2.05519 -1.20037,-3.16462 -2.8918,-3.16462 -0.92756,0 -1.746,0.40012 -2.60081,1.20037 v -0.60018 c 0,-0.21825 -0.16368,-0.36375 -0.50924,-0.36375 h -0.83663 c -0.81843,0 -1.21856,0 -1.21856,0.61837 0,0.45469 0.25463,0.63656 0.81844,0.63656 0.12731,0 0.27281,0 0.40012,0 z"
+ style="font-style:normal;font-variant:normal;font-weight:normal;font-stretch:normal;font-family:'Courier 10 Pitch';-inkscape-font-specification:'Courier 10 Pitch';stroke-width:0.50526738"
+ id="path1039" />
+ <path
+ d="m -226.60093,177.68464 v -6.58385 c 0,-0.21825 -0.16368,-0.36375 -0.50925,-0.36375 h -2.6008 c -0.47287,0 -0.70931,0.20006 -0.70931,0.61837 0,0.41831 0.25462,0.63656 0.74568,0.63656 h 1.72781 v 5.69267 h -2.70993 c -0.49106,0 -0.74568,0.20006 -0.74568,0.61837 0,0.41832 0.23643,0.63657 0.70931,0.63657 h 6.89304 c 0.52744,0 0.7275,-0.12732 0.7275,-0.63657 0,-0.43649 -0.21825,-0.61837 -0.67294,-0.61837 z m -1.65505,-9.51203 c 0,0.72749 0.18187,0.87299 0.92756,0.87299 0.85481,0 0.90937,-0.20006 0.90937,-1.12762 0,-0.92756 -0.0909,-1.20037 -0.90937,-1.20037 -0.81844,0 -0.92756,0.27281 -0.92756,1.455 z"
+ style="font-style:normal;font-variant:normal;font-weight:normal;font-stretch:normal;font-family:'Courier 10 Pitch';-inkscape-font-specification:'Courier 10 Pitch';stroke-width:0.50526738"
+ id="path1041" />
+ <path
+ d="m -212.47724,173.41059 v -1.65506 c 0,-0.76387 -0.0909,-1.09124 -0.63656,-1.09124 -0.45468,0 -0.69112,0.16368 -0.69112,0.56381 0,0 0,0.0182 0,0.0364 -0.98212,-0.49106 -1.87331,-0.74568 -2.80087,-0.74568 -2.54624,0 -4.47411,1.8733 -4.47411,4.32861 0,2.45531 1.90968,4.31042 4.4923,4.31042 2.14612,0 4.14674,-1.32768 4.14674,-2.1643 0,-0.36375 -0.25463,-0.61837 -0.61837,-0.61837 -0.47288,0 -0.81844,0.43649 -1.36406,0.80024 -0.63656,0.41831 -1.36406,0.65475 -2.07337,0.65475 -1.85512,0 -3.03731,-1.23675 -3.03731,-3.00093 0,-1.70962 1.27313,-2.92818 3.11006,-2.92818 1.05487,0 1.89149,0.49106 2.43712,1.455 0.27281,0.49106 0.45468,0.70931 0.83662,0.70931 0.4365,0 0.67293,-0.21825 0.67293,-0.65475 z"
+ style="font-style:normal;font-variant:normal;font-weight:normal;font-stretch:normal;font-family:'Courier 10 Pitch';-inkscape-font-specification:'Courier 10 Pitch';stroke-width:0.50526738"
+ id="path1043" />
+ <path
+ d="m -141.63827,177.48458 c 0,0.90937 0.69112,1.58231 1.74599,1.58231 1.05487,0 1.746,-0.65475 1.746,-1.58231 0,-0.92756 -0.69113,-1.58231 -1.746,-1.58231 -1.05487,0 -1.74599,0.67294 -1.74599,1.58231 z"
+ style="font-style:normal;font-variant:normal;font-weight:normal;font-stretch:normal;font-family:'Courier 10 Pitch';-inkscape-font-specification:'Courier 10 Pitch';stroke-width:0.50526738"
+ id="path1045" />
+ <path
+ d="m -125.35028,178.4667 v -6.47473 c 0.0546,0 0.10913,0 0.16369,0 0.74569,0 1.05487,-0.12731 1.05487,-0.63656 0,-0.41831 -0.23643,-0.61837 -0.70931,-0.61837 h -1.34587 c -0.34556,0 -0.50925,0.10912 -0.50925,0.36375 v 0.63656 c -0.85481,-0.67294 -1.70962,-1.0185 -2.61899,-1.0185 -2.14612,0 -3.9103,1.61868 -3.9103,3.9103 0,2.32799 1.63687,3.94668 3.83755,3.94668 1.14581,0 1.98243,-0.38194 2.70993,-1.21856 v 1.07306 c 0,1.83693 -0.56381,2.67355 -2.41893,2.67355 -0.47287,0 -0.96393,-0.12731 -1.49137,-0.12731 -0.41831,0 -0.76387,0.32737 -0.76387,0.69112 0,0.582 0.63656,0.81844 1.94605,0.81844 1.65506,0 2.85543,-0.49106 3.51018,-1.34587 0.52744,-0.69113 0.54562,-1.47319 0.54562,-2.4735 0,-0.0728 0,-0.12731 0,-0.20006 z m -3.85573,-6.42017 c 1.56412,0 2.63718,1.09125 2.63718,2.58262 0,1.50956 -1.09125,2.58262 -2.63718,2.58262 -1.56413,0 -2.63718,-1.09125 -2.63718,-2.58262 0,-1.52775 1.09124,-2.58262 2.63718,-2.58262 z"
+ style="font-style:normal;font-variant:normal;font-weight:normal;font-stretch:normal;font-family:'Courier 10 Pitch';-inkscape-font-specification:'Courier 10 Pitch';stroke-width:0.50526738"
+ id="path1047" />
+ <path
+ d="m -118.8835,177.68464 v -3.67386 c 1.18218,-1.34587 2.18249,-2.05518 3.16462,-2.05518 0.69112,0 1.07305,0.54562 1.54593,0.54562 0.38193,0 0.78206,-0.40012 0.78206,-0.83662 0,-0.65475 -0.65475,-1.14581 -1.76418,-1.14581 -1.41862,0 -2.619,0.69112 -3.72843,2.09155 v -1.50955 c 0,-0.25463 -0.16369,-0.36375 -0.49106,-0.36375 h -2.01881 c -0.47287,0 -0.70931,0.20006 -0.70931,0.61837 0,0.45469 0.25463,0.63656 0.83662,0.63656 0.0909,0 0.25463,0 0.45469,0 h 0.60019 v 5.69267 h -1.56412 c -0.49107,0 -0.74569,0.20006 -0.74569,0.61837 0,0.41832 0.25462,0.63657 0.7275,0.63657 h 5.80179 c 0.52744,0 0.7275,-0.12732 0.7275,-0.63657 0,-0.43649 -0.21825,-0.61837 -0.67293,-0.61837 z"
+ style="font-style:normal;font-variant:normal;font-weight:normal;font-stretch:normal;font-family:'Courier 10 Pitch';-inkscape-font-specification:'Courier 10 Pitch';stroke-width:0.50526738"
+ id="path1049" />
+ <path
+ d="m -102.43182,174.8474 c 0,-2.45531 -1.81874,-4.31043 -4.6378,-4.31043 -2.81905,0 -4.65598,1.83694 -4.65598,4.31043 0,2.47349 1.83693,4.31042 4.65598,4.31042 2.81906,0 4.6378,-1.83693 4.6378,-4.31042 z m -4.6378,3.07368 c -1.83693,0 -3.11005,-1.3095 -3.11005,-3.07368 0,-1.76418 1.27312,-3.09187 3.11005,-3.09187 1.83694,0 3.11006,1.32769 3.11006,3.09187 0,1.78237 -1.27312,3.07368 -3.11006,3.07368 z"
+ style="font-style:normal;font-variant:normal;font-weight:normal;font-stretch:normal;font-family:'Courier 10 Pitch';-inkscape-font-specification:'Courier 10 Pitch';stroke-width:0.50526738"
+ id="path1051" />
+ <path
+ d="m -98.383971,175.66583 v -4.25586 c 0,-0.0364 0,-0.0546 0,-0.0909 0,-0.40013 -0.01819,-0.582 -0.509249,-0.582 h -1.34587 c -0.47287,0 -0.70931,0.20006 -0.70931,0.61837 0,0.45469 0.25462,0.63656 0.81843,0.63656 0.12732,0 0.272815,0 0.400128,0 v 4.00124 c 0,2.07337 0.982122,3.12824 2.928178,3.12824 1.07306,0 1.836933,-0.41831 2.764492,-1.14581 v 0.60019 c 0,0.21825 0.163687,0.36375 0.509249,0.36375 h 1.345871 c 0.472874,0 0.70931,-0.21825 0.70931,-0.63657 0,-0.45468 -0.254624,-0.61837 -0.818435,-0.61837 -0.127312,0 -0.272811,0 -0.400124,0 v -6.09279 c 0,-0.52744 0,-0.85481 -0.618373,-0.85481 h -1.891494 c -0.491061,0 -0.709311,0.18187 -0.709311,0.61837 0,0.4365 0.181875,0.63656 0.654748,0.63656 h 1.218559 v 3.67386 c 0,1.3095 -1.145809,2.14612 -2.34618,2.14612 -1.382246,0 -2.000619,-0.69112 -2.000619,-2.14612 z"
+ style="font-style:normal;font-variant:normal;font-weight:normal;font-stretch:normal;font-family:'Courier 10 Pitch';-inkscape-font-specification:'Courier 10 Pitch';stroke-width:0.50526738"
+ id="path1053" />
+ <path
+ d="m -84.733154,177.64827 c -1.655058,0 -2.800867,-1.18219 -2.800867,-2.78268 0,-1.6005 1.145809,-2.78268 2.800867,-2.78268 1.673245,0 2.819054,1.18218 2.819054,2.78268 0,1.65505 -1.182184,2.78268 -2.819054,2.78268 z m -2.764492,3.56474 v -3.54656 c 0.727498,0.83663 1.818744,1.29131 3.073678,1.29131 2.327993,0 4.037613,-1.63687 4.037613,-4.00124 0,-2.49168 -1.855119,-4.23767 -4.183112,-4.23767 -1.127622,0 -2.109744,0.41831 -2.909992,1.23675 v -0.85481 c 0,-0.25463 -0.163687,-0.36375 -0.509248,-0.36375 h -1.364059 c -0.472873,0 -0.70931,0.20006 -0.70931,0.61837 0,0.45469 0.272811,0.63656 0.836622,0.63656 0.127312,0 0.272812,0 0.400124,0 v 9.22104 c -0.05456,0 -0.109125,0 -0.163687,0 -0.745685,0 -1.073059,0.12731 -1.073059,0.63656 0,0.41831 0.236437,0.63656 0.70931,0.63656 h 3.928489 c 0.527436,0 0.745685,-0.1455 0.745685,-0.63656 0,-0.41831 -0.218249,-0.63656 -0.672936,-0.63656 z"
+ style="font-style:normal;font-variant:normal;font-weight:normal;font-stretch:normal;font-family:'Courier 10 Pitch';-inkscape-font-specification:'Courier 10 Pitch';stroke-width:0.50526738"
+ id="path1055" />
+ <path
+ d="m -76.538571,172.01016 v -4.32861 c 0,-0.25463 -0.163687,-0.36375 -0.509249,-0.36375 h -1.345871 c -0.472874,0 -0.70931,0.21825 -0.70931,0.63656 0,0.45468 0.254624,0.61837 0.818435,0.61837 0.127312,0 0.272811,0.0182 0.400124,0.0182 v 9.09372 c -0.07275,0 -0.127313,0 -0.181875,0 -0.727498,0 -1.036684,0.10913 -1.036684,0.61837 0,0.41832 0.236436,0.63657 0.70931,0.63657 h 1.618683 c 0.272812,0 0.363749,-0.1455 0.363749,-0.45469 v -0.70931 c 0.600186,0.89118 1.527745,1.32768 2.764492,1.32768 2.382555,0 4.2013,-1.8733 4.2013,-4.18311 0,-2.34618 -1.78237,-4.18311 -4.164925,-4.18311 -1.254934,0 -2.255244,0.4365 -2.928179,1.27312 z m 2.764492,5.69267 c -1.655058,0 -2.800867,-1.20037 -2.800867,-2.83724 0,-1.65506 1.163996,-2.83724 2.800867,-2.83724 1.655057,0 2.800866,1.21855 2.800866,2.83724 0,1.69143 -1.145809,2.83724 -2.800866,2.83724 z"
+ style="font-style:normal;font-variant:normal;font-weight:normal;font-stretch:normal;font-family:'Courier 10 Pitch';-inkscape-font-specification:'Courier 10 Pitch';stroke-width:0.50526738"
+ id="path1057" />
+ <path
+ d="m -63.979016,181.21301 4.674173,-9.22104 c 0.618374,-0.0182 0.891185,-0.16369 0.891185,-0.63656 0,-0.41831 -0.236437,-0.61837 -0.70931,-0.61837 h -2.200681 c -0.581999,0 -0.836623,0.0909 -0.836623,0.61837 0,0.50925 0.309187,0.63656 1.07306,0.63656 0.109124,0 0.218249,0 0.345561,0 l -2.473493,4.89242 -2.382555,-4.89242 c 0.109125,0 0.218249,0 0.327374,0 0.727498,0 1.036684,-0.12731 1.036684,-0.63656 0,-0.52744 -0.254624,-0.61837 -0.836622,-0.61837 h -2.473493 c -0.472874,0 -0.70931,0.20006 -0.70931,0.61837 0,0.50925 0.290999,0.63656 1.018497,0.63656 l 3.255553,6.38379 -1.454996,2.83725 h -1.927869 c -0.454687,0 -0.672936,0.21825 -0.672936,0.63656 0,0.49106 0.218249,0.63656 0.745685,0.63656 h 4.073988 c 0.472874,0 0.727498,-0.21825 0.727498,-0.63656 0,-0.52744 -0.327374,-0.63656 -1.109434,-0.63656 -0.109125,0 -0.236437,0 -0.381936,0 z"
+ style="font-style:normal;font-variant:normal;font-weight:normal;font-stretch:normal;font-family:'Courier 10 Pitch';-inkscape-font-specification:'Courier 10 Pitch';stroke-width:0.50526738"
+ id="path1059" />
+ <path
+ d="m -50.564636,168.49998 c 0,-0.25462 -0.1455,-0.40012 -0.345562,-0.40012 -0.418311,0 -1.000309,0.56381 -1.691432,1.69143 -1.054872,1.70962 -1.564121,3.51018 -1.564121,5.5108 0,2.00062 0.509249,3.80117 1.564121,5.51079 0.691123,1.12762 1.273121,1.69143 1.691432,1.69143 0.200062,0 0.345562,-0.16368 0.345562,-0.41831 0,-0.34556 -0.491061,-1.07306 -1.00031,-2.36436 -0.563811,-1.455 -0.85481,-2.85543 -0.85481,-4.41955 0,-2.00062 0.472874,-3.51018 1.109434,-5.01974 0.381937,-0.90937 0.745686,-1.47318 0.745686,-1.78237 z"
+ style="font-style:normal;font-variant:normal;font-weight:normal;font-stretch:normal;font-family:'Courier 10 Pitch';-inkscape-font-specification:'Courier 10 Pitch';stroke-width:0.50526738"
+ id="path1061" />
+ <path
+ d="m -43.352175,172.79222 h 0.545623 c 0.345562,0 0.418311,-0.16369 0.454686,-0.54563 l 0.272812,-3.29192 c 0,-0.0364 0,-0.0727 0,-0.10913 0,-0.291 -0.1455,-0.4365 -0.418311,-0.4365 h -1.182184 c -0.272812,0 -0.400124,0.1455 -0.400124,0.4365 0,0.0364 0,0.0728 0,0.10913 l 0.272812,3.29192 c 0.03637,0.38194 0.109124,0.54563 0.454686,0.54563 z m 3.310115,0 h 0.545623 c 0.345562,0 0.418312,-0.16369 0.454687,-0.54563 l 0.272811,-3.29192 c 0,-0.0364 0,-0.0727 0,-0.10913 0,-0.291 -0.127312,-0.4365 -0.400124,-0.4365 h -1.182184 c -0.272811,0 -0.418311,0.1455 -0.418311,0.4365 0,0.0364 0,0.0728 0,0.10913 l 0.272812,3.29192 c 0.03637,0.38194 0.109124,0.54563 0.454686,0.54563 z"
+ style="font-style:normal;font-variant:normal;font-weight:normal;font-stretch:normal;font-family:'Courier 10 Pitch';-inkscape-font-specification:'Courier 10 Pitch';stroke-width:0.50526738"
+ id="path1063" />
+ <path
+ d="m -33.084239,178.63039 c 0.891185,0.40012 1.70962,0.61837 2.618993,0.61837 2.49168,0 4.092175,-1.32768 4.092175,-3.29193 0,-1.67324 -1.054872,-2.67355 -3.128241,-2.94636 l -1.418621,-0.18188 c -1.364058,-0.18187 -2.036994,-0.70931 -2.036994,-1.60049 0,-1.12762 0.963935,-1.92787 2.418931,-1.92787 0.945747,0 1.70962,0.36375 2.091556,0.92756 0.381937,0.56381 0.272812,1.21856 0.982122,1.21856 0.418312,0 0.672936,-0.23644 0.672936,-0.65475 0,-0.0364 0,-0.0546 0,-0.0909 l -0.127312,-1.85512 c -0.03638,-0.47287 -0.09094,-0.67293 -0.727498,-0.67293 -0.400124,0 -0.563811,0.10912 -0.563811,0.45468 -0.818435,-0.32737 -1.527745,-0.52743 -2.255243,-0.52743 -2.291619,0 -3.928489,1.43681 -3.928489,3.20099 0,1.78237 1.163997,2.63718 3.528365,2.96455 l 1.309496,0.18188 c 1.127622,0.16368 1.727807,0.74568 1.727807,1.67324 0,1.09125 -1.000309,1.92787 -2.582617,1.92787 -1.273121,0 -2.200681,-0.50925 -2.582617,-1.29131 -0.327374,-0.65475 -0.236437,-1.34587 -0.982123,-1.34587 -0.545623,0 -0.691123,0.25462 -0.691123,0.76387 0,0.0546 0,0.10913 0,0.18188 l 0.109125,2.05518 c 0.03637,0.63656 0.254624,0.92756 0.763873,0.92756 0.491061,0 0.654748,-0.18188 0.70931,-0.70931 z"
+ style="font-style:normal;font-variant:normal;font-weight:normal;font-stretch:normal;font-family:'Courier 10 Pitch';-inkscape-font-specification:'Courier 10 Pitch';stroke-width:0.50526738"
+ id="path1065" />
+ <path
+ d="m -22.5071,174.06534 c 0.345561,-1.47318 1.49137,-2.34618 3.055491,-2.34618 1.436808,0 2.56443,0.92756 2.728117,2.34618 z m -0.03637,1.164 h 5.965482 c 1.091247,0 1.473184,0 1.473184,-0.83663 0,-1.98243 -1.655058,-3.89211 -4.3468,-3.89211 -2.746305,0 -4.637799,1.76418 -4.637799,4.31042 0,2.65537 1.70962,4.3468 4.455924,4.3468 1.200372,0 2.491681,-0.29099 3.71024,-0.89118 0.527435,-0.25462 0.78206,-0.52744 0.78206,-0.89119 0,-0.32737 -0.272812,-0.58199 -0.618373,-0.58199 -0.800248,0 -1.946057,1.10943 -3.746614,1.10943 -1.836933,0 -2.946367,-0.96393 -3.037304,-2.67355 z"
+ style="font-style:normal;font-variant:normal;font-weight:normal;font-stretch:normal;font-family:'Courier 10 Pitch';-inkscape-font-specification:'Courier 10 Pitch';stroke-width:0.50526738"
+ id="path1067" />
+ <path
+ d="m -10.547716,177.68464 2.0369943,-2.18249 2.237056,2.18249 h -0.4910611 c -0.5274359,0 -0.8002476,0.25463 -0.8002476,0.63656 0,0.4365 0.3091866,0.61838 0.9093723,0.61838 h 1.8187446 c 0.7820603,0 1.0730594,-0.0909 1.0730594,-0.61838 0,-0.40012 -0.2364368,-0.63656 -0.691123,-0.63656 -0.018187,0 -0.054562,0 -0.090937,0 l -3.1100534,-3.0373 2.5462425,-2.65537 c 0.090937,0 0.1818745,0.0182 0.2546243,0.0182 0.6183732,0 0.9275598,-0.20006 0.9275598,-0.65475 0,-0.38194 -0.2546243,-0.61837 -0.6183732,-0.61837 H -6.855664 c -0.6183732,0 -0.9093724,0.18187 -0.9093724,0.63656 0,0.41831 0.3273741,0.61837 0.9821222,0.61837 0.07275,0 0.1273121,0 0.1818744,0 l -1.8187446,1.87331 -1.9096816,-1.87331 c 0.6729352,0 1.0184967,-0.20006 1.0184967,-0.61837 0,-0.45469 -0.2909992,-0.63656 -0.9093727,-0.63656 h -1.818744 c -0.782061,0 -1.091247,0.10912 -1.091247,0.63656 0,0.47287 0.254624,0.61837 0.909372,0.61837 0.03638,0 0.09094,0 0.127312,0 l 2.8190546,2.74631 -2.8736166,2.94636 c -0.07275,0 -0.127312,0 -0.181874,0 -0.654749,0 -1.00031,0.18188 -1.00031,0.582 0,0.4365 0.254624,0.67294 0.618373,0.67294 h 2.437118 c 0.6001858,0 0.9275598,-0.18188 0.9275598,-0.61838 0,-0.40012 -0.3455615,-0.65475 -0.9457468,-0.65475 -0.09094,0 -0.163687,0.0182 -0.254625,0.0182 z"
+ style="font-style:normal;font-variant:normal;font-weight:normal;font-stretch:normal;font-family:'Courier 10 Pitch';-inkscape-font-specification:'Courier 10 Pitch';stroke-width:0.50526738"
+ id="path1069" />
+ <path
+ d="m 0.41135921,172.79222 h 0.5456234 c 0.34556149,0 0.41831129,-0.16369 0.45468619,-0.54563 l 0.2728117,-3.29192 c 0,-0.0364 0,-0.0727 0,-0.10913 0,-0.291 -0.1454996,-0.4365 -0.4183113,-0.4365 H 0.08398518 c -0.2728117,0 -0.40012383,0.1455 -0.40012383,0.4365 0,0.0364 0,0.0728 0,0.10913 l 0.2728117,3.29192 c 0.03637489,0.38194 0.10912468,0.54563 0.45468616,0.54563 z m 3.31011529,0 h 0.5456234 c 0.3455615,0 0.4183113,-0.16369 0.4546862,-0.54563 l 0.2728117,-3.29192 c 0,-0.0364 0,-0.0727 0,-0.10913 0,-0.291 -0.1273122,-0.4365 -0.4001239,-0.4365 h -1.182184 c -0.2728117,0 -0.4183113,0.1455 -0.4183113,0.4365 0,0.0364 0,0.0728 0,0.10913 l 0.2728117,3.29192 c 0.036375,0.38194 0.1091247,0.54563 0.4546862,0.54563 z"
+ style="font-style:normal;font-variant:normal;font-weight:normal;font-stretch:normal;font-family:'Courier 10 Pitch';-inkscape-font-specification:'Courier 10 Pitch';stroke-width:0.50526738"
+ id="path1071" />
+ <path
+ d="m 11.461371,182.086 c 0,0.25463 0.1455,0.41831 0.345562,0.41831 0.418311,0 1.000309,-0.56381 1.691432,-1.69143 1.054872,-1.70962 1.582308,-3.51017 1.582308,-5.51079 0,-2.00062 -0.527436,-3.80118 -1.582308,-5.5108 -0.691123,-1.12762 -1.273121,-1.69143 -1.691432,-1.69143 -0.200062,0 -0.345562,0.1455 -0.345562,0.40012 0,0.34556 0.491061,1.07306 1.00031,2.36437 0.563811,1.45499 0.85481,2.87362 0.85481,4.43774 0,2.00062 -0.454686,3.51017 -1.091247,5.01973 -0.381936,0.90937 -0.763873,1.455 -0.763873,1.76418 z"
+ style="font-style:normal;font-variant:normal;font-weight:normal;font-stretch:normal;font-family:'Courier 10 Pitch';-inkscape-font-specification:'Courier 10 Pitch';stroke-width:0.50526738"
+ id="path1073" />
+ <path
+ d="m 55.297671,177.48458 c 0,0.90937 0.691123,1.58231 1.745995,1.58231 1.054872,0 1.745995,-0.65475 1.745995,-1.58231 0,-0.92756 -0.691123,-1.58231 -1.745995,-1.58231 -1.054872,0 -1.745995,0.67294 -1.745995,1.58231 z"
+ style="font-style:normal;font-variant:normal;font-weight:normal;font-stretch:normal;font-family:'Courier 10 Pitch';-inkscape-font-specification:'Courier 10 Pitch';stroke-width:0.50526738"
+ id="path1075" />
+ <path
+ d="m 71.221919,173.99259 v 4.0558 c 0,0.582 0.254624,0.89119 0.745685,0.89119 h 1.073059 c 0.418312,0 0.636561,-0.21825 0.636561,-0.63657 0,-0.50924 -0.254624,-0.61837 -0.92756,-0.61837 -0.05456,0 -0.109124,0 -0.163687,0 v -4.01942 c 0,-2.07337 -0.545623,-3.16462 -2.182493,-3.16462 -0.85481,0 -1.491371,0.36375 -1.982432,1.09125 -0.254624,-0.7275 -0.800248,-1.09125 -1.618683,-1.09125 -0.691123,0 -1.236746,0.23644 -1.70962,0.76387 -0.03637,-0.4365 -0.127312,-0.52743 -0.509248,-0.52743 h -1.364059 c -0.472873,0 -0.691123,0.20006 -0.691123,0.61837 0,0.45469 0.254625,0.63656 0.818435,0.63656 0.127313,0 0.272812,0 0.400124,0 v 5.69267 c -0.07275,0 -0.127312,0 -0.181874,0 -0.727498,0 -1.036685,0.10913 -1.036685,0.61837 0,0.41832 0.21825,0.63657 0.691123,0.63657 h 2.364368 c 0.527436,0 0.727498,-0.12732 0.727498,-0.63657 0,-0.49106 -0.236437,-0.63656 -0.85481,-0.63656 -0.109124,0 -0.236437,0.0182 -0.381936,0.0182 v -4.89242 c 0.327374,-0.61837 0.763873,-0.92756 1.309496,-0.92756 0.672935,0 1.163997,0.52743 1.163997,1.43681 0,0.10912 0,0.34556 0,0.69112 v 3.74661 c 0,0.0909 0,0.16369 0,0.23644 0,0.69112 0.03637,0.96394 0.618373,0.96394 h 1.127621 c 0.418312,0 0.618374,-0.21825 0.618374,-0.63657 0,-0.50924 -0.254625,-0.61837 -0.92756,-0.61837 -0.05456,0 -0.109125,0 -0.163687,0 v -3.69205 c 0,-1.41862 0.618373,-2.12793 1.436808,-2.12793 0.891185,0 0.963935,0.78206 0.963935,2.12793 z"
+ style="font-style:normal;font-variant:normal;font-weight:normal;font-stretch:normal;font-family:'Courier 10 Pitch';-inkscape-font-specification:'Courier 10 Pitch';stroke-width:0.50526738"
+ id="path1077" />
+ <path
+ d="m 75.960887,174.06534 c 0.345561,-1.47318 1.491371,-2.34618 3.055491,-2.34618 1.436808,0 2.56443,0.92756 2.728117,2.34618 z m -0.03638,1.164 h 5.965483 c 1.091246,0 1.473183,0 1.473183,-0.83663 0,-1.98243 -1.655058,-3.89211 -4.3468,-3.89211 -2.746304,0 -4.637799,1.76418 -4.637799,4.31042 0,2.65537 1.70962,4.3468 4.455924,4.3468 1.200372,0 2.491681,-0.29099 3.71024,-0.89118 0.527436,-0.25462 0.78206,-0.52744 0.78206,-0.89119 0,-0.32737 -0.272812,-0.58199 -0.618373,-0.58199 -0.800248,0 -1.946057,1.10943 -3.746614,1.10943 -1.836933,0 -2.946367,-0.96393 -3.037304,-2.67355 z"
+ style="font-style:normal;font-variant:normal;font-weight:normal;font-stretch:normal;font-family:'Courier 10 Pitch';-inkscape-font-specification:'Courier 10 Pitch';stroke-width:0.50526738"
+ id="path1079" />
+ <path
+ d="m 91.885135,177.81195 0.09094,0.54563 c 0.07275,0.38193 0.290999,0.582 0.618373,0.582 h 1.400434 c 0.472873,0 0.70931,-0.21825 0.70931,-0.63657 0,-0.52743 -0.309187,-0.61837 -1.054872,-0.61837 h -0.454686 v -4.01942 c 0,-2.14612 -1.054872,-3.14643 -3.328303,-3.14643 -2.000619,0 -3.310115,0.63656 -3.310115,1.25493 0,0.45469 0.272812,0.74569 0.600186,0.74569 0.691123,0 1.41862,-0.74569 2.673554,-0.74569 1.364059,0 2.000619,0.63656 2.000619,2.00062 0,0.0182 0,0.0364 0,0.0546 -0.727497,-0.18187 -1.41862,-0.27281 -2.109743,-0.27281 -2.63718,0 -4.110363,1.10944 -4.110363,2.94637 0,1.56412 1.163996,2.65536 2.946366,2.65536 1.218559,0 2.364368,-0.47287 3.328303,-1.34587 z m -0.05456,-2.80086 v 0.96393 c 0,0.80025 -1.454995,1.81875 -3.055491,1.81875 -1.036684,0 -1.745995,-0.60019 -1.745995,-1.38225 0,-1.00031 1.036685,-1.70962 2.928179,-1.70962 0.654748,0 1.273122,0.10912 1.873307,0.30919 z"
+ style="font-style:normal;font-variant:normal;font-weight:normal;font-stretch:normal;font-family:'Courier 10 Pitch';-inkscape-font-specification:'Courier 10 Pitch';stroke-width:0.50526738"
+ id="path1081" />
+ <path
+ d="m 97.4971,177.68464 c -0.07275,0 -0.127312,0 -0.181874,0 -0.727498,0 -1.036685,0.10913 -1.036685,0.61837 0,0.41832 0.236437,0.63657 0.745686,0.63657 0.236437,0 0.400124,0 0.472873,0 h 1.618683 c 0.672936,0 0.945747,-0.0364 0.945747,-0.63657 0,-0.49106 -0.236437,-0.63656 -0.85481,-0.63656 -0.109124,0 -0.236436,0.0182 -0.381936,0.0182 v -3.69205 c 0,-1.32768 1.236746,-2.12793 2.309806,-2.12793 1.164,0 1.81874,0.70931 1.81874,2.12793 v 3.69205 c -0.10912,0 -0.20006,0 -0.29099,0 -0.63657,0 -0.89119,0.12731 -0.89119,0.61837 0,0.582 0.25462,0.63657 0.89119,0.63657 h 1.96424 c 0.63656,0 0.94575,-0.12732 0.94575,-0.63657 0,-0.45468 -0.27282,-0.61837 -0.83663,-0.61837 -0.12731,0 -0.27281,0 -0.40012,0 v -4.01942 c 0,-2.05519 -1.20037,-3.16462 -2.8918,-3.16462 -0.92756,0 -1.745999,0.40012 -2.600809,1.20037 v -0.60018 c 0,-0.21825 -0.163687,-0.36375 -0.509248,-0.36375 H 97.4971 c -0.818435,0 -1.218559,0 -1.218559,0.61837 0,0.45469 0.254625,0.63656 0.818436,0.63656 0.127312,0 0.272811,0 0.400123,0 z"
+ style="font-style:normal;font-variant:normal;font-weight:normal;font-stretch:normal;font-family:'Courier 10 Pitch';-inkscape-font-specification:'Courier 10 Pitch';stroke-width:0.50526738"
+ id="path1083" />
+ <path
+ d="m 113.54866,168.49998 c 0,-0.25462 -0.1455,-0.40012 -0.34556,-0.40012 -0.41831,0 -1.00031,0.56381 -1.69143,1.69143 -1.05488,1.70962 -1.56412,3.51018 -1.56412,5.5108 0,2.00062 0.50924,3.80117 1.56412,5.51079 0.69112,1.12762 1.27312,1.69143 1.69143,1.69143 0.20006,0 0.34556,-0.16368 0.34556,-0.41831 0,-0.34556 -0.49106,-1.07306 -1.00031,-2.36436 -0.56381,-1.455 -0.85481,-2.85543 -0.85481,-4.41955 0,-2.00062 0.47287,-3.51018 1.10943,-5.01974 0.38194,-0.90937 0.74569,-1.47318 0.74569,-1.78237 z"
+ style="font-style:normal;font-variant:normal;font-weight:normal;font-stretch:normal;font-family:'Courier 10 Pitch';-inkscape-font-specification:'Courier 10 Pitch';stroke-width:0.50526738"
+ id="path1085" />
+ <path
+ d="m 120.87025,182.086 c 0,0.25463 0.1455,0.41831 0.34556,0.41831 0.41831,0 1.00031,-0.56381 1.69143,-1.69143 1.05487,-1.70962 1.58231,-3.51017 1.58231,-5.51079 0,-2.00062 -0.52744,-3.80118 -1.58231,-5.5108 -0.69112,-1.12762 -1.27312,-1.69143 -1.69143,-1.69143 -0.20006,0 -0.34556,0.1455 -0.34556,0.40012 0,0.34556 0.49106,1.07306 1.00031,2.36437 0.56381,1.45499 0.85481,2.87362 0.85481,4.43774 0,2.00062 -0.45469,3.51017 -1.09125,5.01973 -0.38194,0.90937 -0.76387,1.455 -0.76387,1.76418 z"
+ style="font-style:normal;font-variant:normal;font-weight:normal;font-stretch:normal;font-family:'Courier 10 Pitch';-inkscape-font-specification:'Courier 10 Pitch';stroke-width:0.50526738"
+ id="path1087" />
+ </g>
+ <g
+ style="stroke-width:1.1112442"
+ id="g1962"
+ transform="matrix(0.89991951,0,0,0.89986489,12.004634,25.231115)">
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-1-74-6-0-48"
+ style="fill:#8b6ff9;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56901097;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="M 37.425333,257.87198 H 62.31326 v -12.188 H 37.425333 Z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-7-17-40-6-5"
+ style="fill:#afabab;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56901097;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m 63.84131,244.15598 h 24.88795 v -12.188 H 63.84131 Z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-1-9-1-94-3-62"
+ style="fill:#ed7d30;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56901097;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m 63.84131,257.87198 h 24.88795 v -12.188 H 63.84131 Z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-7-17-40-6-5-8"
+ style="fill:#afabab;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56901097;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m 89.24131,244.15598 h 24.88795 v -12.188 H 89.24131 Z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-1-9-1-94-3-62-9"
+ style="fill:#ed7d30;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56901097;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m 89.24131,257.87198 h 24.88795 v -12.188 H 89.24131 Z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-1-74-6-0-4-8"
+ style="fill:#2808ac;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56901097;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="M 37.425323,340.36628 H 62.31327 V 328.17827 H 37.425323 Z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-7-17-40-6-1-7"
+ style="fill:#afabab;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56901097;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m 63.84132,326.65027 h 24.88795 v -12.188 H 63.84132 Z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-1-9-1-94-3-6-9"
+ style="fill:#ed7d30;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56901097;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="M 63.84132,340.36628 H 88.72927 V 328.17827 H 63.84132 Z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-7-17-40-6-1-7-3"
+ style="fill:#afabab;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56901097;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m 89.24132,326.65027 h 24.88795 v -12.188 H 89.24132 Z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-1-9-1-94-3-6-9-9"
+ style="fill:#ed7d30;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56901097;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m 89.24132,340.36628 h 24.88795 V 328.17827 H 89.24132 Z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-1-74-6-3-43-4"
+ style="fill:#afabab;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56901097;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m -153.29861,334.01621 h 24.88793 v -12.1879 h -24.88793 z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-7-17-40-0-9-7"
+ style="fill:#afabab;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56901097;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m -126.88263,320.30021 h 24.88796 v -12.18786 h -24.88796 z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-1-9-1-94-33-49-2"
+ style="fill:#afabab;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56901097;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m -126.88263,334.01621 h 24.88796 v -12.1879 h -24.88796 z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-2-1-5-7-5-1"
+ style="fill:#afabab;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56901097;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m -153.29862,346.71621 h 24.88794 v -12.1879 h -24.88794 z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-7-5-1-4-9-5-7"
+ style="fill:#afabab;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56901097;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m -126.88263,346.71621 h 24.88796 v -12.1879 h -24.88796 z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-6-7-6-4-7-9"
+ style="fill:#150458;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56901097;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m -101.48263,320.30021 h 24.887953 v -12.18786 h -24.887953 z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-1-5-0-6-9-3-5"
+ style="fill:#2808ac;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56901097;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m -101.48263,334.01621 h 24.887953 v -12.1879 h -24.887953 z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-2-3-4-39-9-9-6"
+ style="fill:#2808ac;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56901097;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m -101.48263,346.71621 h 24.887953 v -12.1879 h -24.887953 z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-7-8-8-5-1-1-21"
+ style="fill:#afabab;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56901097;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m -76.082627,320.30021 h 24.88795 v -12.18786 h -24.88795 z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-1-9-4-1-73-1-7-0"
+ style="fill:#afabab;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56901097;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m -76.082627,334.01621 h 24.88795 v -12.1879 h -24.88795 z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-7-5-5-0-3-4-9-5"
+ style="fill:#afabab;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56901097;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m -76.082627,346.71621 h 24.88795 v -12.1879 h -24.88795 z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-1-74-6-3-6"
+ style="fill:#afabab;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56901097;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m -153.29862,245.17197 h 24.88794 v -12.18799 h -24.88794 z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-7-17-40-0-0"
+ style="fill:#afabab;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56901097;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m -126.88263,231.45593 h 24.88797 v -12.18795 h -24.88797 z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-1-9-1-94-33-6-3"
+ style="fill:#afabab;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56901097;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m -126.88263,245.17197 h 24.88797 v -12.18799 h -24.88797 z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-2-1-5-7-2"
+ style="fill:#afabab;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56901097;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m -153.29863,257.87197 h 24.88795 v -12.188 h -24.88795 z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-7-5-1-4-9-6"
+ style="fill:#afabab;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56901097;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m -126.88263,257.87197 h 24.88797 v -12.188 h -24.88797 z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-6-7-6-4-1"
+ style="fill:#150458;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56901097;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m -101.48262,231.45593 h 24.887956 v -12.18795 h -24.887956 z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-1-5-0-6-9-8"
+ style="fill:#8b6ff9;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56901097;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m -101.48262,245.17197 h 24.887956 v -12.18799 h -24.887956 z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-2-3-4-39-9-7"
+ style="fill:#8b6ff9;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56901097;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m -101.48262,257.87197 h 24.887956 v -12.188 h -24.887956 z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-1-7-0-95-1-9"
+ style="fill:#afabab;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56901097;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m -153.29862,270.57197 h 24.88794 v -12.188 h -24.88794 z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-1-9-8-8-2-9-2"
+ style="fill:#afabab;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56901097;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m -126.88263,270.57197 h 24.88797 v -12.188 h -24.88797 z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-1-7-8-51-1-4-0"
+ style="fill:#8b6ff9;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56901097;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m -101.48262,270.57197 h 24.887956 v -12.188 h -24.887956 z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-1-9-8-2-0-58-6-2"
+ style="fill:#afabab;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56901097;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m -76.082624,270.57197 h 24.88796 v -12.188 h -24.88796 z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-7-8-8-5-1-3"
+ style="fill:#afabab;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56901097;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m -76.082624,231.45593 h 24.88796 v -12.18795 h -24.88796 z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-1-9-4-1-73-1-7"
+ style="fill:#afabab;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56901097;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m -76.082624,245.17197 h 24.88796 v -12.18799 h -24.88796 z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-7-5-5-0-3-4-5"
+ style="fill:#afabab;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56901097;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m -76.082624,257.87197 h 24.88796 v -12.188 h -24.88796 z" />
+ </g>
+ <g
+ style="stroke-width:1.1112442"
+ id="g1924"
+ transform="matrix(0.89991951,0,0,0.89986489,-23.834263,25.231115)">
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-1-74-6-0-48-4-7"
+ style="fill:#8b6ff9;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56901097;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m 248.90994,289.59406 h 24.88793 v -12.188 h -24.88793 z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-7-17-40-6-5-5-5"
+ style="fill:#afabab;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56901097;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m 275.32592,275.87806 h 24.88795 v -12.188 h -24.88795 z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-1-9-1-94-3-62-5-3"
+ style="fill:#ed7d30;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56901097;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m 275.32592,289.59406 h 24.88795 v -12.188 h -24.88795 z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-7-17-40-6-5-8-9-5"
+ style="fill:#afabab;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56901097;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m 300.72592,275.87806 h 24.88795 v -12.188 h -24.88795 z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-1-9-1-94-3-62-9-2-6"
+ style="fill:#ed7d30;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56901097;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m 300.72592,289.59406 h 24.88795 v -12.188 h -24.88795 z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-1-74-6-0-4-8-5-2"
+ style="fill:#2808ac;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56901097;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m 248.90993,302.29417 h 24.88795 v -12.18801 h -24.88795 z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-1-9-1-94-3-6-9-0-9"
+ style="fill:#ed7d30;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56901097;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m 275.32593,302.29417 h 24.88795 v -12.18801 h -24.88795 z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-1-9-1-94-3-6-9-9-6-1"
+ style="fill:#ed7d30;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56901097;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m 300.72593,302.29417 h 24.88795 v -12.18801 h -24.88795 z" />
+ </g>
+ </g>
+</svg>
diff --git a/doc/source/_static/schemas/06_groupby_select_detail.svg b/doc/source/_static/schemas/06_groupby_select_detail.svg
new file mode 100644
index 0000000000000..589c3add26e6f
--- /dev/null
+++ b/doc/source/_static/schemas/06_groupby_select_detail.svg
@@ -0,0 +1,697 @@
+<?xml version="1.0" encoding="UTF-8" standalone="no"?>
+<!-- Created with Inkscape (http://www.inkscape.org/) -->
+
+<svg
+ xmlns:dc="http://purl.org/dc/elements/1.1/"
+ xmlns:cc="http://creativecommons.org/ns#"
+ xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#"
+ xmlns:svg="http://www.w3.org/2000/svg"
+ xmlns="http://www.w3.org/2000/svg"
+ xmlns:sodipodi="http://sodipodi.sourceforge.net/DTD/sodipodi-0.dtd"
+ xmlns:inkscape="http://www.inkscape.org/namespaces/inkscape"
+ width="745.23389mm"
+ height="189.74706mm"
+ viewBox="0 0 745.23389 189.74705"
+ version="1.1"
+ id="svg15800"
+ inkscape:version="0.92.4 (f8dce91, 2019-08-02)"
+ sodipodi:docname="06_groupby_select_detail.svg">
+ <defs
+ id="defs15794">
+ <marker
+ inkscape:stockid="Arrow2Lend"
+ orient="auto"
+ refY="0"
+ refX="0"
+ id="Arrow2Lend-7-6-9-4-2-3-1"
+ style="overflow:visible"
+ inkscape:isstock="true">
+ <path
+ inkscape:connector-curvature="0"
+ id="path7253-1-4-3-6-9-2-8"
+ style="fill:#000000;fill-opacity:1;fill-rule:evenodd;stroke:#000000;stroke-width:0.625;stroke-linejoin:round;stroke-opacity:1"
+ d="M 8.7185878,4.0337352 -2.2072895,0.01601326 8.7185884,-4.0017078 c -1.7454984,2.3720609 -1.7354408,5.6174519 -6e-7,8.035443 z"
+ transform="matrix(-1.1,0,0,-1.1,-1.1,0)" />
+ </marker>
+ <marker
+ inkscape:stockid="Arrow2Lend"
+ orient="auto"
+ refY="0"
+ refX="0"
+ id="Arrow2Lend-7-6-9-4-2-3"
+ style="overflow:visible"
+ inkscape:isstock="true">
+ <path
+ inkscape:connector-curvature="0"
+ id="path7253-1-4-3-6-9-2"
+ style="fill:#000000;fill-opacity:1;fill-rule:evenodd;stroke:#000000;stroke-width:0.625;stroke-linejoin:round;stroke-opacity:1"
+ d="M 8.7185878,4.0337352 -2.2072895,0.01601326 8.7185884,-4.0017078 c -1.7454984,2.3720609 -1.7354408,5.6174519 -6e-7,8.035443 z"
+ transform="matrix(-1.1,0,0,-1.1,-1.1,0)" />
+ </marker>
+ </defs>
+ <sodipodi:namedview
+ id="base"
+ pagecolor="#ffffff"
+ bordercolor="#666666"
+ borderopacity="1.0"
+ inkscape:pageopacity="0.0"
+ inkscape:pageshadow="2"
+ inkscape:zoom="0.35"
+ inkscape:cx="903.54999"
+ inkscape:cy="155.22496"
+ inkscape:document-units="mm"
+ inkscape:current-layer="g2193"
+ showgrid="false"
+ fit-margin-top="0"
+ fit-margin-left="0"
+ fit-margin-right="0"
+ fit-margin-bottom="0"
+ inkscape:window-width="1875"
+ inkscape:window-height="1029"
+ inkscape:window-x="45"
+ inkscape:window-y="27"
+ inkscape:window-maximized="1" />
+ <metadata
+ id="metadata15797">
+ <rdf:RDF>
+ <cc:Work
+ rdf:about="">
+ <dc:format>image/svg+xml</dc:format>
+ <dc:type
+ rdf:resource="http://purl.org/dc/dcmitype/StillImage" />
+ <dc:title />
+ </cc:Work>
+ </rdf:RDF>
+ </metadata>
+ <g
+ inkscape:label="Layer 1"
+ inkscape:groupmode="layer"
+ id="layer1"
+ transform="translate(306.84909,-0.94988499)">
+ <g
+ id="g2193"
+ transform="matrix(0.89996563,0,0,0.89986489,6.5662338,9.5824747)"
+ style="stroke-width:1.11121571">
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-1-74-6-3"
+ style="fill:#afabab;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56899637;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m -305.70378,114.2688 h 24.88794 v -12.18799 h -24.88794 z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-7-17-40-0"
+ style="fill:#afabab;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56899637;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m -279.28779,100.55276 h 24.88797 V 88.364806 h -24.88797 z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-1-9-1-94-33"
+ style="fill:#afabab;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56899637;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m -279.28779,114.2688 h 24.88797 v -12.18799 h -24.88797 z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-2-1-5-7"
+ style="fill:#afabab;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56899637;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m -305.70379,126.9688 h 24.88795 v -12.188 h -24.88795 z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-7-5-1-4-9"
+ style="fill:#afabab;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56899637;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m -279.28779,126.9688 h 24.88797 v -12.188 h -24.88797 z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-6-7-6-4"
+ style="fill:#150458;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56899637;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m -253.88778,100.55276 h 24.88796 V 88.364806 h -24.88796 z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-1-5-0-6-9"
+ style="fill:#8b6ff9;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56899637;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m -253.88778,114.2688 h 24.88796 v -12.18799 h -24.88796 z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-2-3-4-39-9"
+ style="fill:#2808ac;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56899637;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m -253.88778,126.9688 h 24.88796 v -12.188 h -24.88796 z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-1-7-0-95-1"
+ style="fill:#afabab;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56899637;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m -305.70378,139.6688 h 24.88794 v -12.188 h -24.88794 z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-1-9-8-8-2-9"
+ style="fill:#afabab;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56899637;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m -279.28779,139.6688 h 24.88797 v -12.188 h -24.88797 z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-1-7-8-51-1-4"
+ style="fill:#8b6ff9;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56899637;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m -253.88778,139.6688 h 24.88796 v -12.188 h -24.88796 z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-1-7-5-6-3-2"
+ style="fill:#afabab;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56899637;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m -305.70378,152.3688 h 24.88794 v -12.188 h -24.88794 z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-1-9-8-0-6-0-0"
+ style="fill:#afabab;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56899637;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m -279.28779,152.3688 h 24.88797 v -12.188 h -24.88797 z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-1-7-8-5-21-9-6"
+ style="fill:#8b6ff9;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56899637;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m -253.88778,152.3688 h 24.88796 v -12.188 h -24.88796 z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-1-7-5-2-96-9-5"
+ style="fill:#afabab;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56899637;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m -305.70378,165.0688 h 24.88794 v -12.1879 h -24.88794 z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-1-9-8-0-7-4-1-9"
+ style="fill:#afabab;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56899637;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m -279.28779,165.0688 h 24.88797 v -12.1879 h -24.88797 z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-1-7-8-5-2-8-34-5"
+ style="fill:#2808ac;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56899637;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m -253.88778,165.0688 h 24.88796 v -12.1879 h -24.88796 z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-1-9-8-2-0-58-6"
+ style="fill:#afabab;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56899637;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m -228.48778,139.6688 h 24.88796 v -12.188 h -24.88796 z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-7-8-8-5-1"
+ style="fill:#afabab;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56899637;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m -228.48778,100.55276 h 24.88796 V 88.364806 h -24.88796 z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-1-9-4-1-73-1"
+ style="fill:#afabab;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56899637;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m -228.48778,114.2688 h 24.88796 v -12.18799 h -24.88796 z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-7-5-5-0-3-4"
+ style="fill:#afabab;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56899637;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m -228.48778,126.9688 h 24.88796 v -12.188 h -24.88796 z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-1-9-8-2-7-2-89-3"
+ style="fill:#afabab;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56899637;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m -228.48778,152.3688 h 24.88796 v -12.188 h -24.88796 z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-1-9-8-2-7-1-29-55-7"
+ style="fill:#afabab;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56899637;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m -228.48778,165.0688 h 24.88796 v -12.1879 h -24.88796 z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-1-74-6-3-4"
+ style="fill:#8b6ff9;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56899637;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m 386.82482,133.31877 h 24.88795 v -12.18795 h -24.88795 z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-7-17-40-0-4"
+ style="fill:#ffca00;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56899637;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m 413.24082,119.60277 h 24.88795 v -12.18794 h -24.88795 z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-1-9-1-94-33-4"
+ style="fill:#e50387;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56899637;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m 413.24082,133.31877 h 24.88795 v -12.18795 h -24.88795 z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-2-1-5-7-9"
+ style="fill:#2808ac;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56899637;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m 386.82482,146.01877 h 24.88795 v -12.1879 h -24.88795 z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-7-5-1-4-9-9"
+ style="fill:#e50387;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56899637;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m 413.24082,146.01877 h 24.88795 v -12.1879 h -24.88795 z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path6109-2-9-6-9-0-9"
+ d="m 317.4389,126.72385 h 47.88958"
+ style="fill:none;stroke:#000000;stroke-width:0.44448629;stroke-linecap:butt;stroke-linejoin:miter;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1;marker-end:url(#Arrow2Lend-7-6-9-4-2-3)" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path6109-2-9-6-9-0-9-7"
+ d="m -182.77222,126.72385 h 47.88958"
+ style="fill:none;stroke:#000000;stroke-width:0.44448629;stroke-linecap:butt;stroke-linejoin:miter;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1;marker-end:url(#Arrow2Lend-7-6-9-4-2-3-1)" />
+ <g
+ aria-label=" titanic .groupby("Sex") ["Age"] .mean()"
+ style="font-style:normal;font-weight:normal;font-size:20.21069527px;line-height:1.25;font-family:sans-serif;letter-spacing:0px;word-spacing:0px;fill:#000000;fill-opacity:1;stroke:none;stroke-width:0.56146109"
+ id="text56748-3">
+ <path
+ d="m -285.91965,5.9621374 h -3.88046 V 3.9612786 c 0,-0.9701134 -0.0808,-1.3743273 -0.78821,-1.3743273 -0.52548,0 -0.76801,0.2829497 -0.76801,0.8286385 0,0.262739 0,0.4446353 0,0.5254781 v 2.0210695 h -1.09138 c -0.9499,0 -1.35411,0.060632 -1.35411,0.7073743 0,0.4850567 0.24252,0.6871637 0.78821,0.6871637 h 1.65728 v 3.2943436 c 0,0.101053 0,0.202107 0,0.30316 0,0.909481 0.0202,1.697699 0.36379,2.283809 0.5659,0.990324 1.61686,1.47538 3.13266,1.47538 0.92969,0 1.96044,-0.262739 3.19329,-0.747795 0.72759,-0.28295 1.09138,-0.5659 1.09138,-1.030746 0,-0.363792 -0.32337,-0.707374 -0.68717,-0.707374 -0.78821,0 -2.10191,1.050956 -3.69855,1.050956 -1.73812,0 -1.85939,-1.050956 -1.85939,-2.62739 V 7.3566754 h 4.00172 c 0.54569,0 0.82864,-0.2223177 0.82864,-0.6871637 0,-0.5052673 -0.30316,-0.7073743 -0.92969,-0.7073743 z"
+ style="font-style:normal;font-variant:normal;font-weight:normal;font-stretch:normal;font-family:'Courier 10 Pitch';-inkscape-font-specification:'Courier 10 Pitch';stroke-width:0.56146109"
+ id="path935" />
+ <path
+ d="M -275.5402,13.136934 V 5.8206625 c 0,-0.2425283 -0.18189,-0.4042139 -0.5659,-0.4042139 h -2.89013 c -0.52547,0 -0.78821,0.2223177 -0.78821,0.6871637 0,0.464846 0.28295,0.7073743 0.82863,0.7073743 h 1.92002 v 6.3259474 h -3.01139 c -0.54569,0 -0.82864,0.222318 -0.82864,0.687164 0,0.464846 0.26274,0.707374 0.78822,0.707374 h 7.65985 c 0.58611,0 0.80843,-0.141475 0.80843,-0.707374 0,-0.485057 -0.24253,-0.687164 -0.7478,-0.687164 z m -1.83917,-10.5701934 c 0,0.8084278 0.20211,0.9701134 1.03074,0.9701134 0.94991,0 1.01054,-0.2223177 1.01054,-1.2530631 0,-1.0307455 -0.10105,-1.33390591 -1.01054,-1.33390591 -0.90948,0 -1.03074,0.30316041 -1.03074,1.61685561 z"
+ style="font-style:normal;font-variant:normal;font-weight:normal;font-stretch:normal;font-family:'Courier 10 Pitch';-inkscape-font-specification:'Courier 10 Pitch';stroke-width:0.56146109"
+ id="path937" />
+ <path
+ d="m -261.60366,5.9621374 h -3.88045 V 3.9612786 c 0,-0.9701134 -0.0808,-1.3743273 -0.78822,-1.3743273 -0.52548,0 -0.76801,0.2829497 -0.76801,0.8286385 0,0.262739 0,0.4446353 0,0.5254781 v 2.0210695 h -1.09138 c -0.9499,0 -1.35411,0.060632 -1.35411,0.7073743 0,0.4850567 0.24253,0.6871637 0.78821,0.6871637 h 1.65728 v 3.2943436 c 0,0.101053 0,0.202107 0,0.30316 0,0.909481 0.0202,1.697699 0.36379,2.283809 0.5659,0.990324 1.61686,1.47538 3.13266,1.47538 0.92969,0 1.96044,-0.262739 3.19329,-0.747795 0.72759,-0.28295 1.09138,-0.5659 1.09138,-1.030746 0,-0.363792 -0.32337,-0.707374 -0.68716,-0.707374 -0.78822,0 -2.10192,1.050956 -3.69856,1.050956 -1.73812,0 -1.85939,-1.050956 -1.85939,-2.62739 V 7.3566754 h 4.00172 c 0.54569,0 0.82864,-0.2223177 0.82864,-0.6871637 0,-0.5052673 -0.30316,-0.7073743 -0.92969,-0.7073743 z"
+ style="font-style:normal;font-variant:normal;font-weight:normal;font-stretch:normal;font-family:'Courier 10 Pitch';-inkscape-font-specification:'Courier 10 Pitch';stroke-width:0.56146109"
+ id="path939" />
+ <path
+ d="m -249.8903,13.278409 0.10105,0.606321 c 0.0808,0.424425 0.32338,0.646742 0.68717,0.646742 h 1.55622 c 0.52548,0 0.78822,-0.242528 0.78822,-0.707374 0,-0.58611 -0.34358,-0.687164 -1.17222,-0.687164 h -0.50527 V 8.6703706 c 0,-2.3848621 -1.17222,-3.4964503 -3.69856,-3.4964503 -2.22317,0 -3.67834,0.7073743 -3.67834,1.394538 0,0.5052674 0.30316,0.8286385 0.66695,0.8286385 0.76801,0 1.57643,-0.8286385 2.97097,-0.8286385 1.5158,0 2.22318,0.7073743 2.22318,2.2231765 0,0.020211 0,0.040421 0,0.060632 -0.80843,-0.2021069 -1.57644,-0.3031604 -2.34444,-0.3031604 -2.93055,0 -4.56762,1.2328524 -4.56762,3.2741326 0,1.73812 1.29349,2.950762 3.27413,2.950762 1.35412,0 2.62739,-0.525479 3.69856,-1.495592 z m -0.0606,-3.112447 v 1.071167 c 0,0.88927 -1.61686,2.021069 -3.3954,2.021069 -1.15201,0 -1.94023,-0.666953 -1.94023,-1.536012 0,-1.111589 1.15201,-1.8998058 3.25393,-1.8998058 0.72758,0 1.41475,0.1212642 2.0817,0.3435818 z"
+ style="font-style:normal;font-variant:normal;font-weight:normal;font-stretch:normal;font-family:'Courier 10 Pitch';-inkscape-font-specification:'Courier 10 Pitch';stroke-width:0.56146109"
+ id="path941" />
+ <path
+ d="m -243.65404,13.136934 c -0.0808,0 -0.14147,0 -0.2021,0 -0.80843,0 -1.15201,0.121264 -1.15201,0.687164 0,0.464846 0.26274,0.707374 0.82864,0.707374 0.26273,0 0.44463,0 0.52547,0 h 1.79876 c 0.74779,0 1.05095,-0.04042 1.05095,-0.707374 0,-0.545689 -0.26274,-0.707374 -0.9499,-0.707374 -0.12126,0 -0.26274,0.02021 -0.42443,0.02021 V 9.0341631 c 0,-1.4753808 1.37433,-2.3646514 2.56676,-2.3646514 1.29349,0 2.02107,0.7882172 2.02107,2.3646514 v 4.1027709 c -0.12126,0 -0.22232,0 -0.32337,0 -0.70737,0 -0.99032,0.141475 -0.99032,0.687164 0,0.646742 0.28295,0.707374 0.99032,0.707374 h 2.18276 c 0.70737,0 1.05095,-0.141475 1.05095,-0.707374 0,-0.505268 -0.30316,-0.687164 -0.92969,-0.687164 -0.14147,0 -0.30316,0 -0.44463,0 V 8.6703706 c 0,-2.2838086 -1.33391,-3.516661 -3.21351,-3.516661 -1.03074,0 -1.94022,0.4446353 -2.89012,1.3339059 v -0.666953 c 0,-0.2425283 -0.1819,-0.4042139 -0.5659,-0.4042139 h -0.9297 c -0.90948,0 -1.35411,0 -1.35411,0.6871637 0,0.5052674 0.28295,0.7073743 0.90948,0.7073743 0.14147,0 0.30316,0 0.44463,0 z"
+ style="font-style:normal;font-variant:normal;font-weight:normal;font-stretch:normal;font-family:'Courier 10 Pitch';-inkscape-font-specification:'Courier 10 Pitch';stroke-width:0.56146109"
+ id="path943" />
+ <path
+ d="M -226.90821,13.136934 V 5.8206625 c 0,-0.2425283 -0.1819,-0.4042139 -0.5659,-0.4042139 h -2.89013 c -0.52548,0 -0.78822,0.2223177 -0.78822,0.6871637 0,0.464846 0.28295,0.7073743 0.82864,0.7073743 h 1.92001 v 6.3259474 h -3.01139 c -0.54569,0 -0.82864,0.222318 -0.82864,0.687164 0,0.464846 0.26274,0.707374 0.78822,0.707374 h 7.65985 c 0.58611,0 0.80843,-0.141475 0.80843,-0.707374 0,-0.485057 -0.24253,-0.687164 -0.7478,-0.687164 z m -1.83918,-10.5701934 c 0,0.8084278 0.20211,0.9701134 1.03075,0.9701134 0.9499,0 1.01053,-0.2223177 1.01053,-1.2530631 0,-1.0307455 -0.10105,-1.33390591 -1.01053,-1.33390591 -0.90948,0 -1.03075,0.30316041 -1.03075,1.61685561 z"
+ style="font-style:normal;font-variant:normal;font-weight:normal;font-stretch:normal;font-family:'Courier 10 Pitch';-inkscape-font-specification:'Courier 10 Pitch';stroke-width:0.56146109"
+ id="path945" />
+ <path
+ d="M -211.21335,8.3874208 V 6.5482476 c 0,-0.8488492 -0.10105,-1.2126417 -0.70737,-1.2126417 -0.50527,0 -0.76801,0.1818962 -0.76801,0.6265315 0,0 0,0.020211 0,0.040421 -1.09137,-0.5456888 -2.0817,-0.8286385 -3.11244,-0.8286385 -2.8295,0 -4.97183,2.0817016 -4.97183,4.8101455 0,2.7284442 2.12212,4.7899352 4.99204,4.7899352 2.38486,0 4.60804,-1.475381 4.60804,-2.405073 0,-0.404214 -0.28295,-0.687164 -0.68717,-0.687164 -0.52548,0 -0.90948,0.485057 -1.5158,0.889271 -0.70737,0.464846 -1.5158,0.727585 -2.30402,0.727585 -2.06149,0 -3.37519,-1.374327 -3.37519,-3.3347649 0,-1.8998054 1.41475,-3.253922 3.45603,-3.253922 1.17222,0 2.10192,0.5456888 2.70824,1.6168557 0.30316,0.5456887 0.50526,0.7882171 0.92969,0.7882171 0.48505,0 0.74779,-0.2425284 0.74779,-0.7275851 z"
+ style="font-style:normal;font-variant:normal;font-weight:normal;font-stretch:normal;font-family:'Courier 10 Pitch';-inkscape-font-specification:'Courier 10 Pitch';stroke-width:0.56146109"
+ id="path947" />
+ <path
+ d="m -144.65194,12.914617 c 0,1.010534 0.768,1.75833 1.94022,1.75833 1.17222,0 1.94023,-0.727585 1.94023,-1.75833 0,-1.030746 -0.76801,-1.758331 -1.94023,-1.758331 -1.17222,0 -1.94022,0.747796 -1.94022,1.758331 z"
+ style="font-style:normal;font-variant:normal;font-weight:normal;font-stretch:normal;font-family:'Courier 10 Pitch';-inkscape-font-specification:'Courier 10 Pitch';stroke-width:0.56146109"
+ id="path949" />
+ <path
+ d="M -126.55201,14.005994 V 6.8109866 c 0.0606,0 0.12127,0 0.1819,0 0.82864,0 1.17222,-0.1414749 1.17222,-0.7073743 0,-0.464846 -0.26274,-0.6871637 -0.78822,-0.6871637 h -1.49559 c -0.384,0 -0.5659,0.1212642 -0.5659,0.4042139 v 0.7073744 c -0.9499,-0.7477957 -1.89981,-1.131799 -2.91034,-1.131799 -2.38486,0 -4.3453,1.7987519 -4.3453,4.3452995 0,2.5869686 1.81896,4.3857206 4.26446,4.3857206 1.27327,0 2.20296,-0.424424 3.01139,-1.354116 v 1.192431 c 0,2.04128 -0.62653,2.970972 -2.68802,2.970972 -0.52548,0 -1.07117,-0.141475 -1.65728,-0.141475 -0.46485,0 -0.84885,0.363793 -0.84885,0.768006 0,0.646743 0.70738,0.909482 2.16255,0.909482 1.83917,0 3.17308,-0.545689 3.90066,-1.495592 0.58611,-0.768006 0.60632,-1.637066 0.60632,-2.748654 0,-0.08084 0,-0.141475 0,-0.222318 z m -4.28467,-7.1343753 c 1.73812,0 2.93055,1.2126417 2.93055,2.8699187 0,1.6774876 -1.21264,2.8699186 -2.93055,2.8699186 -1.73812,0 -2.93055,-1.212642 -2.93055,-2.8699186 0,-1.6976984 1.21264,-2.8699187 2.93055,-2.8699187 z"
+ style="font-style:normal;font-variant:normal;font-weight:normal;font-stretch:normal;font-family:'Courier 10 Pitch';-inkscape-font-specification:'Courier 10 Pitch';stroke-width:0.56146109"
+ id="path951" />
+ <path
+ d="M -119.36584,13.136934 V 9.0543738 c 1.3137,-1.4955915 2.42529,-2.2838086 3.51667,-2.2838086 0.768,0 1.19243,0.6063209 1.7179,0.6063209 0.42443,0 0.86906,-0.4446353 0.86906,-0.929692 0,-0.727585 -0.72758,-1.2732738 -1.96043,-1.2732738 -1.57644,0 -2.91034,0.7680064 -4.1432,2.32423 V 5.8206625 c 0,-0.2829497 -0.18189,-0.4042139 -0.54568,-0.4042139 h -2.24339 c -0.52548,0 -0.78822,0.2223177 -0.78822,0.6871637 0,0.5052674 0.28295,0.7073743 0.92969,0.7073743 0.10106,0 0.28295,0 0.50527,0 h 0.66695 v 6.3259474 h -1.73812 c -0.54568,0 -0.82863,0.222318 -0.82863,0.687164 0,0.464846 0.28295,0.707374 0.80842,0.707374 h 6.44722 c 0.58611,0 0.80842,-0.141475 0.80842,-0.707374 0,-0.485057 -0.24253,-0.687164 -0.74779,-0.687164 z"
+ style="font-style:normal;font-variant:normal;font-weight:normal;font-stretch:normal;font-family:'Courier 10 Pitch';-inkscape-font-specification:'Courier 10 Pitch';stroke-width:0.56146109"
+ id="path953" />
+ <path
+ d="m -101.08401,9.9840658 c 0,-2.7284439 -2.02106,-4.7899348 -5.15372,-4.7899348 -3.13266,0 -5.17394,2.0412802 -5.17394,4.7899348 0,2.7486542 2.04128,4.7899352 5.17394,4.7899352 3.13266,0 5.15372,-2.041281 5.15372,-4.7899352 z m -5.15372,3.4156072 c -2.04128,0 -3.45603,-1.45517 -3.45603,-3.4156072 0,-1.9604375 1.41475,-3.4358182 3.45603,-3.4358182 2.04128,0 3.45603,1.4753807 3.45603,3.4358182 0,1.9806482 -1.41475,3.4156072 -3.45603,3.4156072 z"
+ style="font-style:normal;font-variant:normal;font-weight:normal;font-stretch:normal;font-family:'Courier 10 Pitch';-inkscape-font-specification:'Courier 10 Pitch';stroke-width:0.56146109"
+ id="path955" />
+ <path
+ d="M -96.585869,10.893547 V 6.1642444 c 0,-0.040421 0,-0.060632 0,-0.1010535 0,-0.4446353 -0.02021,-0.6467423 -0.5659,-0.6467423 h -1.495591 c -0.525478,0 -0.788217,0.2223177 -0.788217,0.6871637 0,0.5052674 0.28295,0.7073743 0.909481,0.7073743 0.141475,0 0.303161,0 0.444635,0 V 11.25734 c 0,2.304019 1.091378,3.476239 3.253922,3.476239 1.192431,0 2.041281,-0.464846 3.072026,-1.273274 v 0.666953 c 0,0.242529 0.181896,0.404214 0.565899,0.404214 h 1.495592 c 0.525478,0 0.788217,-0.242528 0.788217,-0.707374 0,-0.505268 -0.28295,-0.687164 -0.909481,-0.687164 -0.141475,0 -0.303161,0 -0.444636,0 V 6.3663513 c 0,-0.5861101 0,-0.9499027 -0.687163,-0.9499027 h -2.101912 c -0.545689,0 -0.788218,0.202107 -0.788218,0.6871637 0,0.4850567 0.202107,0.7073743 0.727585,0.7073743 h 1.354117 v 4.0825604 c 0,1.45517 -1.273274,2.384862 -2.60718,2.384862 -1.536013,0 -2.223176,-0.768006 -2.223176,-2.384862 z"
+ style="font-style:normal;font-variant:normal;font-weight:normal;font-stretch:normal;font-family:'Courier 10 Pitch';-inkscape-font-specification:'Courier 10 Pitch';stroke-width:0.56146109"
+ id="path957" />
+ <path
+ d="m -81.416471,13.096513 c -1.839173,0 -3.112447,-1.313695 -3.112447,-3.092237 0,-1.7785407 1.273274,-3.0922359 3.112447,-3.0922359 1.859384,0 3.132658,1.3136952 3.132658,3.0922359 0,1.839174 -1.313695,3.092237 -3.132658,3.092237 z m -3.072025,3.961296 v -3.941085 c 0.808427,0.929692 2.021069,1.434959 3.415607,1.434959 2.586969,0 4.486774,-1.818963 4.486774,-4.446353 0,-2.7688653 -2.061491,-4.7090921 -4.64846,-4.7090921 -1.253063,0 -2.34444,0.464846 -3.233711,1.3743273 V 5.8206625 c 0,-0.2829497 -0.181896,-0.4042139 -0.565899,-0.4042139 h -1.515802 c -0.525478,0 -0.788218,0.2223177 -0.788218,0.6871637 0,0.5052674 0.303161,0.7073743 0.929692,0.7073743 0.141475,0 0.303161,0 0.444636,0 V 17.057809 c -0.06063,0 -0.121264,0 -0.181897,0 -0.828638,0 -1.192431,0.141475 -1.192431,0.707374 0,0.464846 0.26274,0.707375 0.788218,0.707375 h 4.36551 c 0.58611,0 0.828638,-0.161686 0.828638,-0.707375 0,-0.464846 -0.242528,-0.707374 -0.747795,-0.707374 z"
+ style="font-style:normal;font-variant:normal;font-weight:normal;font-stretch:normal;font-family:'Courier 10 Pitch';-inkscape-font-specification:'Courier 10 Pitch';stroke-width:0.56146109"
+ id="path959" />
+ <path
+ d="M -72.310296,6.8311973 V 2.0210518 c 0,-0.2829497 -0.181897,-0.4042139 -0.5659,-0.4042139 h -1.495591 c -0.525478,0 -0.788217,0.2425284 -0.788217,0.7073744 0,0.5052673 0.282949,0.6871636 0.909481,0.6871636 0.141475,0 0.30316,0.020211 0.444635,0.020211 V 13.136934 c -0.08084,0 -0.141475,0 -0.202107,0 -0.808428,0 -1.152009,0.121264 -1.152009,0.687164 0,0.464846 0.262739,0.707374 0.788217,0.707374 h 1.798752 c 0.30316,0 0.404214,-0.161685 0.404214,-0.505267 v -0.788217 c 0.666953,0.990324 1.697698,1.47538 3.072025,1.47538 2.647601,0 4.668671,-2.081701 4.668671,-4.648459 0,-2.6071801 -1.980648,-4.6484604 -4.628249,-4.6484604 -1.394538,0 -2.506127,0.4850567 -3.253922,1.4147487 z m 3.072025,6.3259477 c -1.839173,0 -3.112447,-1.333906 -3.112447,-3.152869 0,-1.8391728 1.293485,-3.152868 3.112447,-3.152868 1.839174,0 3.112447,1.3541166 3.112447,3.152868 0,1.879595 -1.273273,3.152869 -3.112447,3.152869 z"
+ style="font-style:normal;font-variant:normal;font-weight:normal;font-stretch:normal;font-family:'Courier 10 Pitch';-inkscape-font-specification:'Courier 10 Pitch';stroke-width:0.56146109"
+ id="path961" />
+ <path
+ d="m -58.35354,17.057809 5.194149,-10.2468224 c 0.687164,-0.020211 0.990324,-0.1818962 0.990324,-0.7073743 0,-0.464846 -0.262739,-0.6871637 -0.788217,-0.6871637 h -2.445494 c -0.646742,0 -0.929692,0.1010535 -0.929692,0.6871637 0,0.5658994 0.343582,0.7073743 1.192431,0.7073743 0.121264,0 0.242528,0 0.384003,0 l -2.748654,5.4366774 -2.647602,-5.4366774 c 0.121265,0 0.242529,0 0.363793,0 0.808428,0 1.15201,-0.1414749 1.15201,-0.7073743 0,-0.5861102 -0.28295,-0.6871637 -0.929692,-0.6871637 h -2.748655 c -0.525478,0 -0.788217,0.2223177 -0.788217,0.6871637 0,0.5658994 0.323371,0.7073743 1.131799,0.7073743 l 3.617714,7.0939544 -1.616855,3.152868 h -2.142334 c -0.505267,0 -0.747796,0.242528 -0.747796,0.707374 0,0.545689 0.242529,0.707375 0.828639,0.707375 h 4.527196 c 0.525478,0 0.808427,-0.242529 0.808427,-0.707375 0,-0.58611 -0.363792,-0.707374 -1.232852,-0.707374 -0.121264,0 -0.262739,0 -0.424425,0 z"
+ style="font-style:normal;font-variant:normal;font-weight:normal;font-stretch:normal;font-family:'Courier 10 Pitch';-inkscape-font-specification:'Courier 10 Pitch';stroke-width:0.56146109"
+ id="path963" />
+ <path
+ d="m -43.446896,2.9305331 c 0,-0.2829497 -0.161685,-0.4446353 -0.384003,-0.4446353 -0.464846,0 -1.111588,0.6265316 -1.879594,1.8795947 -1.172221,1.8998053 -1.73812,3.9006642 -1.73812,6.1238405 0,2.223177 0.565899,4.224035 1.73812,6.123841 0.768006,1.253063 1.414748,1.879594 1.879594,1.879594 0.222318,0 0.384003,-0.181896 0.384003,-0.464846 0,-0.384003 -0.545688,-1.192431 -1.111588,-2.62739 -0.626531,-1.616856 -0.949903,-3.173079 -0.949903,-4.911199 0,-2.2231763 0.525479,-3.900664 1.232853,-5.5781517 0.424424,-1.0105348 0.828638,-1.6370664 0.828638,-1.9806482 z"
+ style="font-style:normal;font-variant:normal;font-weight:normal;font-stretch:normal;font-family:'Courier 10 Pitch';-inkscape-font-specification:'Courier 10 Pitch';stroke-width:0.56146109"
+ id="path965" />
+ <path
+ d="m -35.432083,7.7002572 h 0.60632 c 0.384004,0 0.464846,-0.1818963 0.505268,-0.6063209 l 0.30316,-3.6581358 c 0,-0.040421 0,-0.080843 0,-0.1212642 0,-0.3233711 -0.161685,-0.4850567 -0.464846,-0.4850567 h -1.313695 c -0.30316,0 -0.444635,0.1616856 -0.444635,0.4850567 0,0.040421 0,0.080843 0,0.1212642 l 0.30316,3.6581358 c 0.04042,0.4244246 0.121264,0.6063209 0.505268,0.6063209 z m 3.678346,0 h 0.606321 c 0.384003,0 0.464846,-0.1818963 0.505267,-0.6063209 l 0.303161,-3.6581358 c 0,-0.040421 0,-0.080843 0,-0.1212642 0,-0.3233711 -0.141475,-0.4850567 -0.444635,-0.4850567 h -1.313696 c -0.30316,0 -0.464846,0.1616856 -0.464846,0.4850567 0,0.040421 0,0.080843 0,0.1212642 l 0.303161,3.6581358 c 0.04042,0.4244246 0.121264,0.6063209 0.505267,0.6063209 z"
+ style="font-style:normal;font-variant:normal;font-weight:normal;font-stretch:normal;font-family:'Courier 10 Pitch';-inkscape-font-specification:'Courier 10 Pitch';stroke-width:0.56146109"
+ id="path967" />
+ <path
+ d="m -24.02189,14.18789 c 0.990324,0.444636 1.899806,0.687164 2.910341,0.687164 2.768865,0 4.547406,-1.475381 4.547406,-3.658136 0,-1.8593838 -1.17222,-2.970972 -3.47624,-3.2741325 l -1.576434,-0.2021069 c -1.515802,-0.202107 -2.263598,-0.7882171 -2.263598,-1.7785412 0,-1.2530631 1.071167,-2.1423337 2.688023,-2.1423337 1.050956,0 1.899805,0.4042139 2.32423,1.0307455 0.424424,0.6265315 0.30316,1.3541166 1.091377,1.3541166 0.464846,0 0.747796,-0.2627391 0.747796,-0.7275851 0,-0.040421 0,-0.060632 0,-0.1010534 l -0.141475,-2.061491 c -0.04042,-0.525478 -0.101053,-0.7477957 -0.808428,-0.7477957 -0.444635,0 -0.626531,0.1212642 -0.626531,0.5052674 -0.909482,-0.3637925 -1.697699,-0.5861102 -2.506126,-0.5861102 -2.546548,0 -4.365511,1.596645 -4.365511,3.5570824 0,1.9806481 1.293485,2.9305508 3.920875,3.2943433 l 1.45517,0.202107 c 1.253063,0.1818962 1.920016,0.8286385 1.920016,1.8593835 0,1.212642 -1.111588,2.142334 -2.869918,2.142334 -1.414749,0 -2.445495,-0.565899 -2.869919,-1.434959 -0.363793,-0.727585 -0.262739,-1.495592 -1.091378,-1.495592 -0.606321,0 -0.768006,0.28295 -0.768006,0.84885 0,0.06063 0,0.121264 0,0.202106 l 0.121264,2.283809 c 0.04042,0.707374 0.28295,1.030746 0.848849,1.030746 0.545689,0 0.727585,-0.202107 0.788217,-0.788218 z"
+ style="font-style:normal;font-variant:normal;font-weight:normal;font-stretch:normal;font-family:'Courier 10 Pitch';-inkscape-font-specification:'Courier 10 Pitch';stroke-width:0.56146109"
+ id="path969" />
+ <path
+ d="m -12.268114,9.1150059 c 0.384003,-1.6370663 1.657277,-2.6071797 3.3953968,-2.6071797 1.5966449,0 2.849708,1.0307454 3.0316043,2.6071797 z m -0.04042,1.2934841 h 6.6291077 c 1.2126417,0 1.6370663,0 1.6370663,-0.9296916 0,-2.2029658 -1.8391733,-4.3250888 -4.8303562,-4.3250888 -3.0518148,0 -5.1537268,1.9604374 -5.1537268,4.7899348 0,2.9507616 1.899805,4.8303566 4.9516199,4.8303566 1.3339058,0 2.7688652,-0.323372 4.1229818,-0.990325 0.5861102,-0.282949 0.8690599,-0.58611 0.8690599,-0.990324 0,-0.363792 -0.3031604,-0.646742 -0.6871637,-0.646742 -0.8892705,0 -2.1625443,1.232853 -4.1634032,1.232853 -2.0412797,0 -3.2741327,-1.071167 -3.3751857,-2.970973 z"
+ style="font-style:normal;font-variant:normal;font-weight:normal;font-stretch:normal;font-family:'Courier 10 Pitch';-inkscape-font-specification:'Courier 10 Pitch';stroke-width:0.56146109"
+ id="path971" />
+ <path
+ d="m 1.0216744,13.136934 2.2635979,-2.425283 2.4859155,2.425283 H 5.2254991 c -0.5861102,0 -0.8892706,0.28295 -0.8892706,0.707375 0,0.485056 0.3435818,0.687163 1.0105347,0.687163 h 2.0210696 c 0.8690599,0 1.192431,-0.101053 1.192431,-0.687163 0,-0.444636 -0.2627391,-0.707375 -0.7680064,-0.707375 -0.020211,0 -0.060632,0 -0.1010535,0 L 4.235175,9.7617481 7.0646723,6.8109866 c 0.1010535,0 0.202107,0.020211 0.2829498,0.020211 0.6871636,0 1.0307454,-0.2223176 1.0307454,-0.727585 0,-0.4244246 -0.2829497,-0.6871637 -0.6871636,-0.6871637 H 5.1244456 c -0.6871637,0 -1.0105348,0.202107 -1.0105348,0.7073744 0,0.464846 0.3637925,0.6871636 1.0913776,0.6871636 0.080843,0 0.1414748,0 0.2021069,0 L 3.3863258,8.8926882 1.2642028,6.8109866 c 0.7477957,0 1.1317989,-0.2223176 1.1317989,-0.6871636 0,-0.5052674 -0.3233711,-0.7073744 -1.0105347,-0.7073744 h -2.02106957 c -0.86905993,0 -1.21264173,0.1212642 -1.21264173,0.7073744 0,0.5254781 0.2829497,0.6871636 1.01053478,0.6871636 0.0404214,0 0.10105347,0 0.14147486,0 l 3.13265776,3.051815 -3.19328984,3.2741324 c -0.0808428,0 -0.14147487,0 -0.20210695,0 -0.72758501,0 -1.11158821,0.202107 -1.11158821,0.646742 0,0.485057 0.2829497,0.747796 0.6871636,0.747796 h 2.7082332 c 0.6669529,0 1.0307454,-0.202107 1.0307454,-0.687163 0,-0.444636 -0.3840032,-0.727585 -1.0509561,-0.727585 -0.1010535,0 -0.1818963,0.02021 -0.2829498,0.02021 z"
+ style="font-style:normal;font-variant:normal;font-weight:normal;font-stretch:normal;font-family:'Courier 10 Pitch';-inkscape-font-specification:'Courier 10 Pitch';stroke-width:0.56146109"
+ id="path973" />
+ <path
+ d="m 13.199905,7.7002572 h 0.606321 c 0.384003,0 0.464846,-0.1818963 0.505267,-0.6063209 l 0.303161,-3.6581358 c 0,-0.040421 0,-0.080843 0,-0.1212642 0,-0.3233711 -0.161686,-0.4850567 -0.464846,-0.4850567 h -1.313695 c -0.303161,0 -0.444636,0.1616856 -0.444636,0.4850567 0,0.040421 0,0.080843 0,0.1212642 l 0.303161,3.6581358 c 0.04042,0.4244246 0.121264,0.6063209 0.505267,0.6063209 z m 3.678347,0 h 0.606321 c 0.384003,0 0.464846,-0.1818963 0.505267,-0.6063209 L 18.293,3.4358005 c 0,-0.040421 0,-0.080843 0,-0.1212642 0,-0.3233711 -0.141475,-0.4850567 -0.444635,-0.4850567 H 16.53467 c -0.303161,0 -0.464846,0.1616856 -0.464846,0.4850567 0,0.040421 0,0.080843 0,0.1212642 l 0.30316,3.6581358 c 0.04042,0.4244246 0.121264,0.6063209 0.505268,0.6063209 z"
+ style="font-style:normal;font-variant:normal;font-weight:normal;font-stretch:normal;font-family:'Courier 10 Pitch';-inkscape-font-specification:'Courier 10 Pitch';stroke-width:0.56146109"
+ id="path975" />
+ <path
+ d="m 25.479159,18.027922 c 0,0.28295 0.161685,0.464846 0.384003,0.464846 0.464846,0 1.111588,-0.626531 1.879595,-1.879594 1.17222,-1.899806 1.75833,-3.900664 1.75833,-6.123841 0,-2.2231763 -0.58611,-4.2240352 -1.75833,-6.1238405 -0.768007,-1.2530631 -1.414749,-1.8795947 -1.879595,-1.8795947 -0.222318,0 -0.384003,0.1616856 -0.384003,0.4446353 0,0.3840032 0.545689,1.192431 1.111588,2.6273904 0.626532,1.6168556 0.949903,3.1932899 0.949903,4.9314095 0,2.223177 -0.505268,3.900664 -1.212642,5.578152 -0.424425,1.010535 -0.848849,1.616856 -0.848849,1.960437 z"
+ style="font-style:normal;font-variant:normal;font-weight:normal;font-stretch:normal;font-family:'Courier 10 Pitch';-inkscape-font-specification:'Courier 10 Pitch';stroke-width:0.56146109"
+ id="path977" />
+ <path
+ d="M 87.987046,16.976966 V 4.0421214 h 1.657277 c 0.384003,0 0.646742,-0.2425284 0.646742,-0.6063209 0,-0.3840032 -0.242528,-0.6063209 -0.626531,-0.6063209 h -2.667812 c -0.424425,0 -0.707374,0.2829498 -0.707374,0.6467423 V 17.542866 c 0,0.363792 0.282949,0.646742 0.707374,0.646742 h 2.667812 c 0.384003,0 0.626531,-0.242528 0.626531,-0.626532 0,-0.363792 -0.262739,-0.58611 -0.646742,-0.58611 z"
+ style="font-style:normal;font-variant:normal;font-weight:normal;font-stretch:normal;font-family:'Courier 10 Pitch';-inkscape-font-specification:'Courier 10 Pitch';stroke-width:0.56146109"
+ id="path979" />
+ <path
+ d="m 98.305862,7.7002572 h 0.606321 c 0.384003,0 0.464846,-0.1818963 0.505267,-0.6063209 l 0.303161,-3.6581358 c 0,-0.040421 0,-0.080843 0,-0.1212642 0,-0.3233711 -0.161686,-0.4850567 -0.464846,-0.4850567 H 97.94207 c -0.303161,0 -0.444636,0.1616856 -0.444636,0.4850567 0,0.040421 0,0.080843 0,0.1212642 l 0.303161,3.6581358 c 0.04042,0.4244246 0.121264,0.6063209 0.505267,0.6063209 z m 3.678348,0 h 0.60632 c 0.384,0 0.46485,-0.1818963 0.50527,-0.6063209 l 0.30316,-3.6581358 c 0,-0.040421 0,-0.080843 0,-0.1212642 0,-0.3233711 -0.14148,-0.4850567 -0.44464,-0.4850567 h -1.31369 c -0.30316,0 -0.46485,0.1616856 -0.46485,0.4850567 0,0.040421 0,0.080843 0,0.1212642 l 0.30316,3.6581358 c 0.0404,0.4244246 0.12127,0.6063209 0.50527,0.6063209 z"
+ style="font-style:normal;font-variant:normal;font-weight:normal;font-stretch:normal;font-family:'Courier 10 Pitch';-inkscape-font-specification:'Courier 10 Pitch';stroke-width:0.56146109"
+ id="path981" />
+ <path
+ d="m 111.07017,4.2442283 -3.35497,8.8927057 c -0.0808,0 -0.16169,0 -0.24253,0 -0.66695,0 -0.92969,0.161686 -0.92969,0.687164 0,0.606321 0.28295,0.707374 1.03074,0.707374 h 2.58697 c 0.76801,0 1.15201,-0.06063 1.15201,-0.707374 0,-0.5659 -0.36379,-0.687164 -1.1318,-0.687164 h -0.9499 l 0.84885,-2.34444 h 5.01225 l 0.9499,2.34444 h -0.90948 c -0.768,0 -1.11159,0.121264 -1.11159,0.687164 0,0.646742 0.38401,0.707374 1.17222,0.707374 h 2.68803 c 0.64674,0 0.88927,-0.141475 0.88927,-0.707374 0,-0.545689 -0.24253,-0.687164 -0.92969,-0.687164 -0.0606,0 -0.10106,0 -0.16169,0 l -3.86024,-9.6405014 c -0.26274,-0.6467423 -0.52548,-0.666953 -1.09138,-0.666953 h -2.80929 c -0.92969,0 -1.37432,0 -1.37432,0.7073744 0,0.5456888 0.34358,0.7073743 1.09137,0.7073743 z m -0.50526,5.2345701 1.8998,-5.2345701 2.14233,5.2345701 z"
+ style="font-style:normal;font-variant:normal;font-weight:normal;font-stretch:normal;font-family:'Courier 10 Pitch';-inkscape-font-specification:'Courier 10 Pitch';stroke-width:0.56146109"
+ id="path983" />
+ <path
+ d="M 128.76592,14.005994 V 6.8109866 c 0.0606,0 0.12127,0 0.1819,0 0.82864,0 1.17222,-0.1414749 1.17222,-0.7073743 0,-0.464846 -0.26274,-0.6871637 -0.78822,-0.6871637 h -1.49559 c -0.384,0 -0.5659,0.1212642 -0.5659,0.4042139 v 0.7073744 c -0.9499,-0.7477957 -1.8998,-1.131799 -2.91034,-1.131799 -2.38486,0 -4.3453,1.7987519 -4.3453,4.3452995 0,2.5869686 1.81896,4.3857206 4.26446,4.3857206 1.27327,0 2.20296,-0.424424 3.01139,-1.354116 v 1.192431 c 0,2.04128 -0.62653,2.970972 -2.68802,2.970972 -0.52548,0 -1.07117,-0.141475 -1.65728,-0.141475 -0.46484,0 -0.84885,0.363793 -0.84885,0.768006 0,0.646743 0.70738,0.909482 2.16255,0.909482 1.83917,0 3.17308,-0.545689 3.90066,-1.495592 0.58611,-0.768006 0.60632,-1.637066 0.60632,-2.748654 0,-0.08084 0,-0.141475 0,-0.222318 z m -4.28466,-7.1343753 c 1.73812,0 2.93055,1.2126417 2.93055,2.8699187 0,1.6774876 -1.21265,2.8699186 -2.93055,2.8699186 -1.73812,0 -2.93056,-1.212642 -2.93056,-2.8699186 0,-1.6976984 1.21265,-2.8699187 2.93056,-2.8699187 z"
+ style="font-style:normal;font-variant:normal;font-weight:normal;font-stretch:normal;font-family:'Courier 10 Pitch';-inkscape-font-specification:'Courier 10 Pitch';stroke-width:0.56146109"
+ id="path985" />
+ <path
+ d="m 133.62785,9.1150059 c 0.384,-1.6370663 1.65728,-2.6071797 3.3954,-2.6071797 1.59664,0 2.84971,1.0307454 3.0316,2.6071797 z m -0.0404,1.2934841 h 6.62911 c 1.21264,0 1.63706,0 1.63706,-0.9296916 0,-2.2029658 -1.83917,-4.3250888 -4.83035,-4.3250888 -3.05182,0 -5.15373,1.9604374 -5.15373,4.7899348 0,2.9507616 1.89981,4.8303566 4.95162,4.8303566 1.33391,0 2.76887,-0.323372 4.12298,-0.990325 0.58611,-0.282949 0.86906,-0.58611 0.86906,-0.990324 0,-0.363792 -0.30316,-0.646742 -0.68716,-0.646742 -0.88927,0 -2.16254,1.232853 -4.1634,1.232853 -2.04128,0 -3.27414,-1.071167 -3.37519,-2.970973 z"
+ style="font-style:normal;font-variant:normal;font-weight:normal;font-stretch:normal;font-family:'Courier 10 Pitch';-inkscape-font-specification:'Courier 10 Pitch';stroke-width:0.56146109"
+ id="path987" />
+ <path
+ d="m 146.93785,7.7002572 h 0.60632 c 0.384,0 0.46485,-0.1818963 0.50527,-0.6063209 l 0.30316,-3.6581358 c 0,-0.040421 0,-0.080843 0,-0.1212642 0,-0.3233711 -0.16169,-0.4850567 -0.46485,-0.4850567 h -1.31369 c -0.30316,0 -0.44464,0.1616856 -0.44464,0.4850567 0,0.040421 0,0.080843 0,0.1212642 l 0.30316,3.6581358 c 0.0404,0.4244246 0.12127,0.6063209 0.50527,0.6063209 z m 3.67835,0 h 0.60632 c 0.384,0 0.46484,-0.1818963 0.50527,-0.6063209 l 0.30316,-3.6581358 c 0,-0.040421 0,-0.080843 0,-0.1212642 0,-0.3233711 -0.14148,-0.4850567 -0.44464,-0.4850567 h -1.31369 c -0.30316,0 -0.46485,0.1616856 -0.46485,0.4850567 0,0.040421 0,0.080843 0,0.1212642 l 0.30316,3.6581358 c 0.0404,0.4244246 0.12126,0.6063209 0.50527,0.6063209 z"
+ style="font-style:normal;font-variant:normal;font-weight:normal;font-stretch:normal;font-family:'Courier 10 Pitch';-inkscape-font-specification:'Courier 10 Pitch';stroke-width:0.56146109"
+ id="path989" />
+ <path
+ d="M 161.54133,4.0421214 V 16.976966 h -1.65727 c -0.38401,0 -0.64674,0.222318 -0.64674,0.58611 0,0.384004 0.24252,0.626532 0.62653,0.626532 h 2.6476 c 0.42442,0 0.72758,-0.28295 0.72758,-0.646742 V 3.4762219 c 0,-0.3637925 -0.30316,-0.6467423 -0.72758,-0.6467423 h -2.6476 c -0.38401,0 -0.62653,0.2223177 -0.62653,0.6063209 0,0.3637925 0.26273,0.6063209 0.64674,0.6063209 z"
+ style="font-style:normal;font-variant:normal;font-weight:normal;font-stretch:normal;font-family:'Courier 10 Pitch';-inkscape-font-specification:'Courier 10 Pitch';stroke-width:0.56146109"
+ id="path991" />
+ <path
+ d="m 232.24595,12.914617 c 0,1.010534 0.768,1.75833 1.94022,1.75833 1.17222,0 1.94023,-0.727585 1.94023,-1.75833 0,-1.030746 -0.76801,-1.758331 -1.94023,-1.758331 -1.17222,0 -1.94022,0.747796 -1.94022,1.758331 z"
+ style="font-style:normal;font-variant:normal;font-weight:normal;font-stretch:normal;font-family:'Courier 10 Pitch';-inkscape-font-specification:'Courier 10 Pitch';stroke-width:0.56146109"
+ id="path993" />
+ <path
+ d="m 249.94163,9.0341631 v 4.5069849 c 0,0.646742 0.28295,0.990324 0.82864,0.990324 h 1.19243 c 0.46485,0 0.70738,-0.242528 0.70738,-0.707374 0,-0.5659 -0.28295,-0.687164 -1.03075,-0.687164 -0.0606,0 -0.12126,0 -0.18189,0 V 8.6703706 c 0,-2.3040193 -0.60632,-3.516661 -2.42529,-3.516661 -0.9499,0 -1.65727,0.4042139 -2.20296,1.2126417 -0.28295,-0.8084278 -0.88927,-1.2126417 -1.79875,-1.2126417 -0.76801,0 -1.37433,0.262739 -1.89981,0.8488492 -0.0404,-0.4850567 -0.14147,-0.5861102 -0.5659,-0.5861102 h -1.5158 c -0.52548,0 -0.76801,0.2223177 -0.76801,0.6871637 0,0.5052674 0.28295,0.7073743 0.90948,0.7073743 0.14148,0 0.30316,0 0.44464,0 v 6.3259474 c -0.0808,0 -0.14148,0 -0.20211,0 -0.80843,0 -1.15201,0.121264 -1.15201,0.687164 0,0.464846 0.24253,0.707374 0.76801,0.707374 h 2.62739 c 0.58611,0 0.80843,-0.141475 0.80843,-0.707374 0,-0.545689 -0.26274,-0.707374 -0.94991,-0.707374 -0.12126,0 -0.26273,0.02021 -0.42442,0.02021 V 7.7002572 c 0.36379,-0.6871636 0.84885,-1.0307455 1.45517,-1.0307455 0.7478,0 1.29348,0.5861102 1.29348,1.596645 0,0.1212641 0,0.3840032 0,0.7680064 v 4.1634029 c 0,0.101054 0,0.181897 0,0.262739 0,0.768007 0.0404,1.071167 0.68717,1.071167 h 1.25306 c 0.46485,0 0.68716,-0.242528 0.68716,-0.707374 0,-0.5659 -0.28295,-0.687164 -1.03074,-0.687164 -0.0606,0 -0.12126,0 -0.1819,0 V 9.0341631 c 0,-1.5764342 0.68717,-2.3646514 1.59665,-2.3646514 0.99032,0 1.07116,0.8690599 1.07116,2.3646514 z"
+ style="font-style:normal;font-variant:normal;font-weight:normal;font-stretch:normal;font-family:'Courier 10 Pitch';-inkscape-font-specification:'Courier 10 Pitch';stroke-width:0.56146109"
+ id="path995" />
+ <path
+ d="m 255.20781,9.1150059 c 0.384,-1.6370663 1.65727,-2.6071797 3.39539,-2.6071797 1.59665,0 2.84971,1.0307454 3.03161,2.6071797 z m -0.0404,1.2934841 h 6.6291 c 1.21265,0 1.63707,0 1.63707,-0.9296916 0,-2.2029658 -1.83917,-4.3250888 -4.83036,-4.3250888 -3.05181,0 -5.15372,1.9604374 -5.15372,4.7899348 0,2.9507616 1.8998,4.8303566 4.95162,4.8303566 1.3339,0 2.76886,-0.323372 4.12298,-0.990325 0.58611,-0.282949 0.86906,-0.58611 0.86906,-0.990324 0,-0.363792 -0.30316,-0.646742 -0.68716,-0.646742 -0.88928,0 -2.16255,1.232853 -4.16341,1.232853 -2.04128,0 -3.27413,-1.071167 -3.37518,-2.970973 z"
+ style="font-style:normal;font-variant:normal;font-weight:normal;font-stretch:normal;font-family:'Courier 10 Pitch';-inkscape-font-specification:'Courier 10 Pitch';stroke-width:0.56146109"
+ id="path997" />
+ <path
+ d="m 272.90356,13.278409 0.10105,0.606321 c 0.0808,0.424425 0.32337,0.646742 0.68717,0.646742 h 1.55622 c 0.52548,0 0.78822,-0.242528 0.78822,-0.707374 0,-0.58611 -0.34359,-0.687164 -1.17222,-0.687164 h -0.50527 V 8.6703706 c 0,-2.3848621 -1.17222,-3.4964503 -3.69856,-3.4964503 -2.22318,0 -3.67835,0.7073743 -3.67835,1.394538 0,0.5052674 0.30316,0.8286385 0.66696,0.8286385 0.768,0 1.57643,-0.8286385 2.97097,-0.8286385 1.5158,0 2.22318,0.7073743 2.22318,2.2231765 0,0.020211 0,0.040421 0,0.060632 -0.80843,-0.2021069 -1.57644,-0.3031604 -2.34444,-0.3031604 -2.93056,0 -4.56762,1.2328524 -4.56762,3.2741326 0,1.73812 1.29348,2.950762 3.27413,2.950762 1.35412,0 2.62739,-0.525479 3.69856,-1.495592 z m -0.0606,-3.112447 v 1.071167 c 0,0.88927 -1.61686,2.021069 -3.3954,2.021069 -1.15201,0 -1.94023,-0.666953 -1.94023,-1.536012 0,-1.111589 1.15201,-1.8998058 3.25392,-1.8998058 0.72759,0 1.41475,0.1212642 2.08171,0.3435818 z"
+ style="font-style:normal;font-variant:normal;font-weight:normal;font-stretch:normal;font-family:'Courier 10 Pitch';-inkscape-font-specification:'Courier 10 Pitch';stroke-width:0.56146109"
+ id="path999" />
+ <path
+ d="m 279.13978,13.136934 c -0.0808,0 -0.14147,0 -0.2021,0 -0.80843,0 -1.15201,0.121264 -1.15201,0.687164 0,0.464846 0.26274,0.707374 0.82864,0.707374 0.26273,0 0.44463,0 0.52547,0 h 1.79876 c 0.74779,0 1.05095,-0.04042 1.05095,-0.707374 0,-0.545689 -0.26274,-0.707374 -0.9499,-0.707374 -0.12127,0 -0.26274,0.02021 -0.42443,0.02021 V 9.0341631 c 0,-1.4753808 1.37433,-2.3646514 2.56676,-2.3646514 1.29349,0 2.02107,0.7882172 2.02107,2.3646514 v 4.1027709 c -0.12126,0 -0.22232,0 -0.32337,0 -0.70737,0 -0.99032,0.141475 -0.99032,0.687164 0,0.646742 0.28295,0.707374 0.99032,0.707374 h 2.18276 c 0.70737,0 1.05095,-0.141475 1.05095,-0.707374 0,-0.505268 -0.30316,-0.687164 -0.92969,-0.687164 -0.14147,0 -0.30316,0 -0.44464,0 V 8.6703706 c 0,-2.2838086 -1.3339,-3.516661 -3.2135,-3.516661 -1.03074,0 -1.94022,0.4446353 -2.89013,1.3339059 v -0.666953 c 0,-0.2425283 -0.18189,-0.4042139 -0.56589,-0.4042139 h -0.9297 c -0.90948,0 -1.35411,0 -1.35411,0.6871637 0,0.5052674 0.28295,0.7073743 0.90948,0.7073743 0.14147,0 0.30316,0 0.44463,0 z"
+ style="font-style:normal;font-variant:normal;font-weight:normal;font-stretch:normal;font-family:'Courier 10 Pitch';-inkscape-font-specification:'Courier 10 Pitch';stroke-width:0.56146109"
+ id="path1001" />
+ <path
+ d="m 296.97701,2.9305331 c 0,-0.2829497 -0.16169,-0.4446353 -0.384,-0.4446353 -0.46485,0 -1.11159,0.6265316 -1.8796,1.8795947 -1.17222,1.8998053 -1.73812,3.9006642 -1.73812,6.1238405 0,2.223177 0.5659,4.224035 1.73812,6.123841 0.76801,1.253063 1.41475,1.879594 1.8796,1.879594 0.22231,0 0.384,-0.181896 0.384,-0.464846 0,-0.384003 -0.54569,-1.192431 -1.11159,-2.62739 -0.62653,-1.616856 -0.9499,-3.173079 -0.9499,-4.911199 0,-2.2231763 0.52548,-3.900664 1.23285,-5.5781517 0.42442,-1.0105348 0.82864,-1.6370664 0.82864,-1.9806482 z"
+ style="font-style:normal;font-variant:normal;font-weight:normal;font-stretch:normal;font-family:'Courier 10 Pitch';-inkscape-font-specification:'Courier 10 Pitch';stroke-width:0.56146109"
+ id="path1003" />
+ <path
+ d="m 305.11304,18.027922 c 0,0.28295 0.16169,0.464846 0.384,0.464846 0.46485,0 1.11159,-0.626531 1.8796,-1.879594 1.17222,-1.899806 1.75833,-3.900664 1.75833,-6.123841 0,-2.2231763 -0.58611,-4.2240352 -1.75833,-6.1238405 -0.76801,-1.2530631 -1.41475,-1.8795947 -1.8796,-1.8795947 -0.22231,0 -0.384,0.1616856 -0.384,0.4446353 0,0.3840032 0.54569,1.192431 1.11159,2.6273904 0.62653,1.6168556 0.9499,3.1932899 0.9499,4.9314095 0,2.223177 -0.50527,3.900664 -1.21264,5.578152 -0.42443,1.010535 -0.84885,1.616856 -0.84885,1.960437 z"
+ style="font-style:normal;font-variant:normal;font-weight:normal;font-stretch:normal;font-family:'Courier 10 Pitch';-inkscape-font-specification:'Courier 10 Pitch';stroke-width:0.56146109"
+ id="path1005" />
+ </g>
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-1-74-6-0"
+ style="fill:#8b6ff9;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56899637;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="M 242.66155,98.421652 H 267.5495 V 86.233682 H 242.66155 Z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-7-17-40-6"
+ style="fill:#ffca00;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56899637;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="M 269.07755,84.705634 H 293.9655 V 72.517682 h -24.88795 z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-1-9-1-94-3"
+ style="fill:#e50387;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56899637;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="M 269.07755,98.421652 H 293.9655 V 86.233682 H 269.07755 Z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-1-74-6-0-4"
+ style="fill:#2808ac;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56899637;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m 245.30738,180.91592 h 24.88795 v -12.1879 h -24.88795 z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-7-17-40-6-1"
+ style="fill:#ffca00;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56899637;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m 271.72338,167.19992 h 24.88795 v -12.1879 h -24.88795 z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-1-9-1-94-3-6"
+ style="fill:#e50387;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56899637;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m 271.72338,180.91592 h 24.88795 v -12.1879 h -24.88795 z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-1-74-6-3-43-4"
+ style="fill:#afabab;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56899637;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m -113.38633,177.74091 h 24.887936 v -12.1879 h -24.887936 z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-7-17-40-0-9-7"
+ style="fill:#afabab;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56899637;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m -86.970344,164.02491 h 24.88796 v -12.18786 h -24.88796 z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-1-9-1-94-33-49-2"
+ style="fill:#afabab;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56899637;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m -86.970344,177.74091 h 24.88796 v -12.1879 h -24.88796 z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-2-1-5-7-5-1"
+ style="fill:#afabab;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56899637;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m -113.38634,190.44091 h 24.887946 v -12.1879 h -24.887946 z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-7-5-1-4-9-5-7"
+ style="fill:#afabab;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56899637;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m -86.970344,190.44091 h 24.88796 v -12.1879 h -24.88796 z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-6-7-6-4-7-9"
+ style="fill:#150458;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56899637;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m -61.570344,164.02491 h 24.88795 v -12.18786 h -24.88795 z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-1-5-0-6-9-3-5"
+ style="fill:#2808ac;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56899637;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m -61.570344,177.74091 h 24.88795 v -12.1879 h -24.88795 z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-2-3-4-39-9-9-6"
+ style="fill:#2808ac;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56899637;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m -61.570344,190.44091 h 24.88795 v -12.1879 h -24.88795 z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-7-8-8-5-1-1-21"
+ style="fill:#afabab;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56899637;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m -36.170344,164.02491 h 24.88795 v -12.18786 h -24.88795 z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-1-9-4-1-73-1-7-0"
+ style="fill:#afabab;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56899637;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m -36.170344,177.74091 h 24.88795 v -12.1879 h -24.88795 z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-7-5-5-0-3-4-9-5"
+ style="fill:#afabab;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56899637;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m -36.170344,190.44091 h 24.88795 v -12.1879 h -24.88795 z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-1-74-6-3-6"
+ style="fill:#afabab;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56899637;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m -113.38634,88.896676 h 24.887939 V 76.708687 h -24.887939 z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-7-17-40-0-0"
+ style="fill:#afabab;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56899637;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m -86.970351,75.180636 h 24.88797 V 62.992687 h -24.88797 z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-1-9-1-94-33-6"
+ style="fill:#afabab;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56899637;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m -86.970351,88.896676 h 24.88797 V 76.708687 h -24.88797 z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-2-1-5-7-2"
+ style="fill:#afabab;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56899637;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m -113.38635,101.59668 h 24.887949 V 89.408676 h -24.887949 z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-7-5-1-4-9-6"
+ style="fill:#afabab;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56899637;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m -86.970351,101.59668 h 24.88797 V 89.408676 h -24.88797 z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-6-7-6-4-1"
+ style="fill:#150458;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56899637;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m -61.570341,75.180636 h 24.88796 V 62.992687 h -24.88796 z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-1-5-0-6-9-8"
+ style="fill:#8b6ff9;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56899637;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m -61.570341,88.896676 h 24.88796 V 76.708687 h -24.88796 z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-2-3-4-39-9-7"
+ style="fill:#8b6ff9;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56899637;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m -61.570341,101.59668 h 24.88796 V 89.408676 h -24.88796 z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-1-7-0-95-1-9"
+ style="fill:#afabab;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56899637;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m -113.38634,114.29668 h 24.887939 v -12.188 h -24.887939 z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-1-9-8-8-2-9-2"
+ style="fill:#afabab;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56899637;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m -86.970351,114.29668 h 24.88797 v -12.188 h -24.88797 z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-1-7-8-51-1-4-0"
+ style="fill:#8b6ff9;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56899637;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m -61.570341,114.29668 h 24.88796 v -12.188 h -24.88796 z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-1-9-8-2-0-58-6-2"
+ style="fill:#afabab;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56899637;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m -36.170341,114.29668 h 24.88796 v -12.188 h -24.88796 z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-7-8-8-5-1-3"
+ style="fill:#afabab;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56899637;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m -36.170341,75.180636 h 24.88796 V 62.992687 h -24.88796 z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-1-9-4-1-73-1-7"
+ style="fill:#afabab;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56899637;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m -36.170341,88.896676 h 24.88796 V 76.708687 h -24.88796 z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-7-5-5-0-3-4-5"
+ style="fill:#afabab;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56899637;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m -36.170341,101.59668 h 24.88796 V 89.408676 h -24.88796 z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-1-74-6-3-43-4-2"
+ style="fill:#afabab;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56899637;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m 63.889263,177.74092 h 24.88795 v -12.1879 h -24.88795 z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-7-17-40-0-9-7-3"
+ style="fill:#afabab;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56899637;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m 90.305262,164.02492 h 24.887958 v -12.1879 H 90.305262 Z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-1-9-1-94-33-49-2-5"
+ style="fill:#afabab;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56899637;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m 90.305262,177.74092 h 24.887958 v -12.1879 H 90.305262 Z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-2-1-5-7-5-1-1"
+ style="fill:#afabab;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56899637;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m 63.889263,190.44092 h 24.88795 v -12.1879 h -24.88795 z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-7-5-1-4-9-5-7-7"
+ style="fill:#afabab;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56899637;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m 90.305262,190.44092 h 24.887958 v -12.1879 H 90.305262 Z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-6-7-6-4-7-9-8"
+ style="fill:#150458;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56899637;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m 115.70527,164.02492 h 24.88795 v -12.1879 h -24.88795 z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-1-5-0-6-9-3-5-9"
+ style="fill:#2808ac;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56899637;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m 115.70527,177.74092 h 24.88795 v -12.1879 h -24.88795 z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-2-3-4-39-9-9-6-4"
+ style="fill:#2808ac;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56899637;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m 115.70527,190.44092 h 24.88795 v -12.1879 h -24.88795 z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-7-8-2-5-6-7-1-9-3"
+ style="fill:#ffca00;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56899637;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m 142.60199,164.02492 h 24.88792 v -12.1879 h -24.88792 z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-1-9-4-2-6-0-3-2-7-5"
+ style="fill:#ffc900;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56899637;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m 142.60199,177.74092 h 24.88792 v -12.1879 h -24.88792 z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-7-5-5-1-4-33-3-5-6-4"
+ style="fill:#ffc900;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56899637;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m 142.60199,190.44092 h 24.88792 v -12.1879 h -24.88792 z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-1-74-6-3-6-2"
+ style="fill:#afabab;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56899637;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m 64.637609,88.896667 h 24.88794 v -12.18799 h -24.88794 z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-7-17-40-0-0-2"
+ style="fill:#afabab;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56899637;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="M 91.053599,75.180627 H 115.94157 V 62.992677 H 91.053599 Z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-1-9-1-94-33-6-8"
+ style="fill:#afabab;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56899637;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="M 91.053599,88.896667 H 115.94157 V 76.708677 H 91.053599 Z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-2-1-5-7-2-9"
+ style="fill:#afabab;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56899637;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m 64.637599,101.59667 h 24.88795 V 89.408667 h -24.88795 z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-7-5-1-4-9-6-7"
+ style="fill:#afabab;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56899637;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="M 91.053599,101.59667 H 115.94157 V 89.408667 H 91.053599 Z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-6-7-6-4-1-3"
+ style="fill:#150458;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56899637;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m 116.45361,75.180627 h 24.88796 v -12.18795 h -24.88796 z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-1-5-0-6-9-8-6"
+ style="fill:#8b6ff9;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56899637;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m 116.45361,88.896667 h 24.88796 v -12.18799 h -24.88796 z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-2-3-4-39-9-7-1"
+ style="fill:#8b6ff9;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56899637;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m 116.45361,101.59667 h 24.88796 V 89.408667 h -24.88796 z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-1-7-0-95-1-9-2"
+ style="fill:#afabab;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56899637;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m 64.637609,114.29667 h 24.88794 v -12.188 h -24.88794 z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-1-9-8-8-2-9-2-9"
+ style="fill:#afabab;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56899637;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m 91.053599,114.29667 h 24.887971 v -12.188 H 91.053599 Z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-1-7-8-51-1-4-0-3"
+ style="fill:#8b6ff9;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56899637;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m 116.45361,114.29667 h 24.88796 v -12.188 h -24.88796 z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-1-9-8-2-0-58-6-2-1"
+ style="fill:#ffc900;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56899637;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m 141.85361,114.29667 h 24.88796 v -12.188 h -24.88796 z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-7-8-8-5-1-3-9"
+ style="fill:#ffca00;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56899637;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m 141.85361,75.180627 h 24.88796 v -12.18795 h -24.88796 z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-1-9-4-1-73-1-7-4"
+ style="fill:#ffc900;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56899637;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m 141.85361,88.896667 h 24.88796 v -12.18799 h -24.88796 z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-7-5-5-0-3-4-5-7"
+ style="fill:#ffc900;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56899637;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m 141.85361,101.59667 h 24.88796 V 89.408667 h -24.88796 z" />
+ </g>
+ <flowRoot
+ xml:space="preserve"
+ id="flowRoot1848"
+ style="font-style:normal;font-weight:normal;font-size:40px;line-height:1.25;font-family:sans-serif;letter-spacing:0px;word-spacing:0px;fill:#000000;fill-opacity:1;stroke:none"
+ transform="matrix(0.26458333,0,0,0.26458333,-306.84909,0.94988499)"><flowRegion
+ id="flowRegion1850"><rect
+ id="rect1852"
+ width="78.933067"
+ height="54.952229"
+ x="901.05609"
+ y="1308.1863" /></flowRegion><flowPara
+ id="flowPara1854" /></flowRoot> </g>
+</svg>
diff --git a/doc/source/_static/schemas/06_reduction.svg b/doc/source/_static/schemas/06_reduction.svg
new file mode 100644
index 0000000000000..6ee808b953f7e
--- /dev/null
+++ b/doc/source/_static/schemas/06_reduction.svg
@@ -0,0 +1,222 @@
+<?xml version="1.0" encoding="UTF-8" standalone="no"?>
+<!-- Created with Inkscape (http://www.inkscape.org/) -->
+
+<svg
+ xmlns:dc="http://purl.org/dc/elements/1.1/"
+ xmlns:cc="http://creativecommons.org/ns#"
+ xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#"
+ xmlns:svg="http://www.w3.org/2000/svg"
+ xmlns="http://www.w3.org/2000/svg"
+ xmlns:sodipodi="http://sodipodi.sourceforge.net/DTD/sodipodi-0.dtd"
+ xmlns:inkscape="http://www.inkscape.org/namespaces/inkscape"
+ width="278.65692mm"
+ height="77.216049mm"
+ viewBox="0 0 278.65692 77.216049"
+ version="1.1"
+ id="svg11151"
+ inkscape:version="0.92.4 (f8dce91, 2019-08-02)"
+ sodipodi:docname="06_reduction.svg">
+ <defs
+ id="defs11145">
+ <marker
+ inkscape:stockid="Arrow2Lend"
+ orient="auto"
+ refY="0"
+ refX="0"
+ id="Arrow2Lend-7-6-9-4-2"
+ style="overflow:visible"
+ inkscape:isstock="true">
+ <path
+ inkscape:connector-curvature="0"
+ id="path7253-1-4-3-6-9"
+ style="fill:#000000;fill-opacity:1;fill-rule:evenodd;stroke:#000000;stroke-width:0.625;stroke-linejoin:round;stroke-opacity:1"
+ d="M 8.7185878,4.0337352 -2.2072895,0.01601326 8.7185884,-4.0017078 c -1.7454984,2.3720609 -1.7354408,5.6174519 -6e-7,8.035443 z"
+ transform="matrix(-1.1,0,0,-1.1,-1.1,0)" />
+ </marker>
+ </defs>
+ <sodipodi:namedview
+ id="base"
+ pagecolor="#ffffff"
+ bordercolor="#666666"
+ borderopacity="1.0"
+ inkscape:pageopacity="0.0"
+ inkscape:pageshadow="2"
+ inkscape:zoom="0.7"
+ inkscape:cx="626.80804"
+ inkscape:cy="-104.50802"
+ inkscape:document-units="mm"
+ inkscape:current-layer="layer1"
+ showgrid="false"
+ fit-margin-top="0"
+ fit-margin-left="0"
+ fit-margin-right="0"
+ fit-margin-bottom="0"
+ inkscape:window-width="1551"
+ inkscape:window-height="849"
+ inkscape:window-x="49"
+ inkscape:window-y="27"
+ inkscape:window-maximized="1" />
+ <metadata
+ id="metadata11148">
+ <rdf:RDF>
+ <cc:Work
+ rdf:about="">
+ <dc:format>image/svg+xml</dc:format>
+ <dc:type
+ rdf:resource="http://purl.org/dc/dcmitype/StillImage" />
+ <dc:title />
+ </cc:Work>
+ </rdf:RDF>
+ </metadata>
+ <g
+ inkscape:label="Layer 1"
+ inkscape:groupmode="layer"
+ id="layer1"
+ transform="translate(-3.5465457,-106.44555)">
+ <g
+ id="g921"
+ transform="matrix(0.89981591,0,0,0.89933244,14.313808,14.602194)"
+ style="stroke-width:1.11163712">
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-1-74-6"
+ style="fill:#afabab;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56921214;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="M 3.80258,132.60554 H 28.69052 V 120.41757 H 3.80258 Z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-7-17-40"
+ style="fill:#150458;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56921214;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="M 30.21857,118.88952 H 55.10652 V 106.70157 H 30.21857 Z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-1-9-1-94"
+ style="fill:#140357;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56921214;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="M 30.21857,132.60554 H 55.10652 V 120.41757 H 30.21857 Z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-2-1-5"
+ style="fill:#afabab;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56921214;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="M 3.80257,145.30554 H 28.69052 V 133.11758 H 3.80257 Z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-7-5-1-4"
+ style="fill:#140357;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56921214;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="M 30.21857,145.30554 H 55.10652 V 133.11758 H 30.21857 Z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-6-7-6"
+ style="fill:#ffca00;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56921214;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="M 55.61857,118.88952 H 80.50653 V 106.70157 H 55.61857 Z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-1-5-0-6"
+ style="fill:#ffc900;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56921214;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="M 55.61857,132.60554 H 80.50653 V 120.41757 H 55.61857 Z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-2-3-4-39"
+ style="fill:#ffc900;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56921214;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="M 55.61857,145.30554 H 80.50653 V 133.11758 H 55.61857 Z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-1-7-0-95"
+ style="fill:#afabab;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56921214;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="M 3.80258,158.00555 H 28.69052 V 145.81759 H 3.80258 Z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-1-9-8-8-2"
+ style="fill:#140357;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56921214;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="M 30.21857,158.00555 H 55.10652 V 145.81759 H 30.21857 Z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-1-7-8-51-1"
+ style="fill:#ffc900;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56921214;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="M 55.61857,158.00555 H 80.50653 V 145.81759 H 55.61857 Z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-1-7-5-6-3"
+ style="fill:#afabab;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56921214;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="M 3.80258,170.70556 H 28.69052 V 158.5176 H 3.80258 Z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-1-9-8-0-6-0"
+ style="fill:#140357;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56921214;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="M 30.21857,170.70556 H 55.10652 V 158.5176 H 30.21857 Z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-1-7-8-5-21-9"
+ style="fill:#ffc900;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56921214;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="M 55.61857,170.70556 H 80.50653 V 158.5176 H 55.61857 Z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-1-7-5-2-96-9"
+ style="fill:#afabab;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56921214;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="M 3.80258,183.40557 H 28.69052 V 171.21761 H 3.80258 Z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-1-9-8-0-7-4-1"
+ style="fill:#140357;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56921214;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="M 30.21857,183.40557 H 55.10652 V 171.21761 H 30.21857 Z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-1-7-8-5-2-8-34"
+ style="fill:#ffc900;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56921214;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="M 55.61857,183.40557 H 80.50653 V 171.21761 H 55.61857 Z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-1-9-8-2-0-58"
+ style="fill:#afabab;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56921214;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m 81.01858,158.00555 h 24.88794 V 145.81759 H 81.01858 Z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-7-8-8-5"
+ style="fill:#afabab;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56921214;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m 81.01857,118.88952 h 24.88795 V 106.70157 H 81.01857 Z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-1-9-4-1-73"
+ style="fill:#afabab;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56921214;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m 81.01858,132.60554 h 24.88794 V 120.41757 H 81.01858 Z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-7-5-5-0-3"
+ style="fill:#afabab;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56921214;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m 81.01857,145.30554 h 24.88795 V 133.11758 H 81.01857 Z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-1-9-8-2-7-2-89"
+ style="fill:#afabab;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56921214;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m 81.01858,170.70556 h 24.88794 V 158.5176 H 81.01858 Z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-1-9-8-2-7-1-29-55"
+ style="fill:#afabab;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56921214;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m 81.01858,183.40557 h 24.88794 V 171.21761 H 81.01858 Z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path6109-2-9-6-9-0"
+ d="m 149.73091,145.06062 h 47.88958"
+ style="fill:none;stroke:#000000;stroke-width:0.44465485;stroke-linecap:butt;stroke-linejoin:miter;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1;marker-end:url(#Arrow2Lend-7-6-9-4-2)" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-1-4-6"
+ style="fill:#150458;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56921214;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m 230.64348,144.79755 h 24.88795 v -12.18796 h -24.88795 z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-1-9-6-8"
+ style="fill:#e50387;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56921214;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m 257.05948,144.79755 h 24.88795 v -12.18796 h -24.88795 z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-2-90-2"
+ style="fill:#ffca00;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56921214;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m 230.64348,157.49755 h 24.88795 V 145.3096 h -24.88795 z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-7-5-4-3"
+ style="fill:#e50387;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56921214;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m 257.05948,157.49755 h 24.88795 V 145.3096 h -24.88795 z" />
+ </g>
+ </g>
+</svg>
diff --git a/doc/source/_static/schemas/06_valuecounts.svg b/doc/source/_static/schemas/06_valuecounts.svg
new file mode 100644
index 0000000000000..6d7439b45ae6f
--- /dev/null
+++ b/doc/source/_static/schemas/06_valuecounts.svg
@@ -0,0 +1,269 @@
+<?xml version="1.0" encoding="UTF-8" standalone="no"?>
+<!-- Created with Inkscape (http://www.inkscape.org/) -->
+
+<svg
+ xmlns:dc="http://purl.org/dc/elements/1.1/"
+ xmlns:cc="http://creativecommons.org/ns#"
+ xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#"
+ xmlns:svg="http://www.w3.org/2000/svg"
+ xmlns="http://www.w3.org/2000/svg"
+ xmlns:sodipodi="http://sodipodi.sourceforge.net/DTD/sodipodi-0.dtd"
+ xmlns:inkscape="http://www.inkscape.org/namespaces/inkscape"
+ width="370.33118mm"
+ height="128.24377mm"
+ viewBox="0 0 370.33118 128.24378"
+ version="1.1"
+ id="svg14732"
+ inkscape:version="0.92.4 (f8dce91, 2019-08-02)"
+ sodipodi:docname="06_valuecounts.svg">
+ <defs
+ id="defs14726">
+ <marker
+ inkscape:stockid="Arrow2Lend"
+ orient="auto"
+ refY="0"
+ refX="0"
+ id="Arrow2Lend-7-6-9-4-2-3-3"
+ style="overflow:visible"
+ inkscape:isstock="true">
+ <path
+ inkscape:connector-curvature="0"
+ id="path7253-1-4-3-6-9-2-86"
+ style="fill:#000000;fill-opacity:1;fill-rule:evenodd;stroke:#000000;stroke-width:0.625;stroke-linejoin:round;stroke-opacity:1"
+ d="M 8.7185878,4.0337352 -2.2072895,0.01601326 8.7185884,-4.0017078 c -1.7454984,2.3720609 -1.7354408,5.6174519 -6e-7,8.035443 z"
+ transform="matrix(-1.1,0,0,-1.1,-1.1,0)" />
+ </marker>
+ <marker
+ inkscape:stockid="Arrow2Lend"
+ orient="auto"
+ refY="0"
+ refX="0"
+ id="Arrow2Lend-7-6-9-4-2-3-1-7"
+ style="overflow:visible"
+ inkscape:isstock="true">
+ <path
+ inkscape:connector-curvature="0"
+ id="path7253-1-4-3-6-9-2-8-3"
+ style="fill:#000000;fill-opacity:1;fill-rule:evenodd;stroke:#000000;stroke-width:0.625;stroke-linejoin:round;stroke-opacity:1"
+ d="M 8.7185878,4.0337352 -2.2072895,0.01601326 8.7185884,-4.0017078 c -1.7454984,2.3720609 -1.7354408,5.6174519 -6e-7,8.035443 z"
+ transform="matrix(-1.1,0,0,-1.1,-1.1,0)" />
+ </marker>
+ </defs>
+ <sodipodi:namedview
+ id="base"
+ pagecolor="#ffffff"
+ bordercolor="#666666"
+ borderopacity="1.0"
+ inkscape:pageopacity="0.0"
+ inkscape:pageshadow="2"
+ inkscape:zoom="0.49497475"
+ inkscape:cx="654.27439"
+ inkscape:cy="146.60032"
+ inkscape:document-units="mm"
+ inkscape:current-layer="layer1"
+ showgrid="false"
+ fit-margin-top="0"
+ fit-margin-left="0"
+ fit-margin-right="0"
+ fit-margin-bottom="0"
+ inkscape:window-width="1551"
+ inkscape:window-height="849"
+ inkscape:window-x="49"
+ inkscape:window-y="27"
+ inkscape:window-maximized="1" />
+ <metadata
+ id="metadata14729">
+ <rdf:RDF>
+ <cc:Work
+ rdf:about="">
+ <dc:format>image/svg+xml</dc:format>
+ <dc:type
+ rdf:resource="http://purl.org/dc/dcmitype/StillImage" />
+ <dc:title></dc:title>
+ </cc:Work>
+ </rdf:RDF>
+ </metadata>
+ <g
+ inkscape:label="Layer 1"
+ inkscape:groupmode="layer"
+ id="layer1"
+ transform="translate(72.482839,-75.64002)">
+ <g
+ id="g984"
+ transform="matrix(0.89986154,0,0,0.89959912,11.283883,14.032219)"
+ style="stroke-width:1.11144412">
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-6-7-6-4-5"
+ style="fill:#150458;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56911337;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m -45.810816,113.59785 h 24.88796 V 101.4099 h -24.88796 z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-1-5-0-6-9-2"
+ style="fill:#8b6ff9;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56911337;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m -45.810816,127.31387 h 24.88796 V 115.1259 h -24.88796 z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-2-3-4-39-9-4"
+ style="fill:#2808ac;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56911337;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m -45.810816,140.01387 h 24.88796 v -12.18796 h -24.88796 z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-1-7-8-51-1-4-6"
+ style="fill:#8b6ff9;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56911337;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m -45.810816,152.71388 h 24.88796 v -12.18796 h -24.88796 z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-1-7-8-5-21-9-6-4"
+ style="fill:#8b6ff9;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56911337;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m -45.810816,165.41389 h 24.88796 v -12.18796 h -24.88796 z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-1-7-8-5-2-8-34-5-6"
+ style="fill:#2808ac;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56911337;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m -45.810816,178.1139 h 24.88796 v -12.18796 h -24.88796 z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-1-74-6-3-3"
+ style="fill:#afabab;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56911337;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m -72.226805,127.31387 h 24.887939 V 115.1259 h -24.887939 z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-2-1-5-7-7"
+ style="fill:#afabab;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56911337;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m -72.226815,140.01387 h 24.887949 v -12.18796 h -24.887949 z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-1-7-0-95-1-0"
+ style="fill:#afabab;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56911337;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m -72.226805,152.71388 h 24.887939 v -12.18796 h -24.887939 z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-1-7-5-6-3-2-8"
+ style="fill:#afabab;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56911337;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m -72.226805,165.41389 h 24.887939 v -12.18796 h -24.887939 z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-1-7-5-2-96-9-5-9"
+ style="fill:#afabab;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56911337;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m -72.226805,178.1139 h 24.887939 v -12.18796 h -24.887939 z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path6109-2-9-6-9-0-9-4"
+ d="m 170.15323,139.76895 h 47.88958"
+ style="fill:none;stroke:#000000;stroke-width:0.44457766;stroke-linecap:butt;stroke-linejoin:miter;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1;marker-end:url(#Arrow2Lend-7-6-9-4-2-3-3)" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path6109-2-9-6-9-0-9-7-0"
+ d="m 9.345491,139.76895 h 47.88958"
+ style="fill:none;stroke:#000000;stroke-width:0.44457766;stroke-linecap:butt;stroke-linejoin:miter;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1;marker-end:url(#Arrow2Lend-7-6-9-4-2-3-1-7)" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-1-74-6-3-4-4"
+ style="fill:#8b6ff9;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56911337;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m 246.28835,146.36389 h 24.88794 v -12.18797 h -24.88794 z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-7-17-40-0-4-7"
+ style="fill:#afabab;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56911337;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="M 272.70434,132.64787 H 297.5923 V 120.45992 H 272.70434 Z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-1-9-1-94-33-4-0"
+ style="fill:#e50387;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56911337;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="M 272.70434,146.36389 H 297.5923 V 134.17592 H 272.70434 Z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-2-1-5-7-9-4"
+ style="fill:#2808ac;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56911337;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m 246.28834,159.06389 h 24.88795 v -12.18796 h -24.88795 z" />
+ <text
+ id="text17627"
+ y="143.61424"
+ x="282.14795"
+ style="font-style:normal;font-weight:normal;font-size:10.58333302px;line-height:1.25;font-family:sans-serif;letter-spacing:0px;word-spacing:0px;fill:#333333;fill-opacity:1;stroke:none;stroke-width:0.29406959"
+ xml:space="preserve"><tspan
+ style="font-style:normal;font-variant:normal;font-weight:normal;font-stretch:normal;font-family:'Courier 10 Pitch';-inkscape-font-specification:'Courier 10 Pitch';fill:#333333;fill-opacity:1;stroke-width:0.29406959"
+ y="143.61424"
+ x="282.14795"
+ id="tspan17625"
+ sodipodi:role="line">3</tspan></text>
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-7-5-1-4-9-9-9"
+ style="fill:#e50387;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56911337;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="M 272.70434,159.06389 H 297.5923 V 146.87593 H 272.70434 Z" />
+ <text
+ id="text17627-7"
+ y="156.31425"
+ x="282.14795"
+ style="font-style:normal;font-weight:normal;font-size:10.58333302px;line-height:1.25;font-family:sans-serif;letter-spacing:0px;word-spacing:0px;fill:#333333;fill-opacity:1;stroke:none;stroke-width:0.29406959"
+ xml:space="preserve"><tspan
+ style="font-style:normal;font-variant:normal;font-weight:normal;font-stretch:normal;font-family:'Courier 10 Pitch';-inkscape-font-specification:'Courier 10 Pitch';fill:#333333;fill-opacity:1;stroke-width:0.29406959"
+ y="156.31425"
+ x="282.14795"
+ id="tspan17625-9"
+ sodipodi:role="line">2</tspan></text>
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-6-7-6-4-7-9-85"
+ style="fill:#150458;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56911337;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m 111.89662,177.21177 h 24.88796 v -12.1879 h -24.88796 z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-1-5-0-6-9-3-5-8"
+ style="fill:#2808ac;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56911337;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m 111.89662,190.92777 h 24.88796 v -12.1879 h -24.88796 z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-2-3-4-39-9-9-6-2"
+ style="fill:#2808ac;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56911337;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m 111.89662,203.62777 h 24.88796 v -12.1879 h -24.88796 z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-1-74-6-3-43-4-21"
+ style="fill:#afabab;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56911337;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m 85.480629,190.92777 h 24.887941 v -12.1879 H 85.480629 Z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-2-1-5-7-5-1-13"
+ style="fill:#afabab;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56911337;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m 85.480619,203.62777 h 24.887951 v -12.1879 H 85.480619 Z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-6-7-6-4-5-8"
+ style="fill:#150458;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56911337;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m 111.89662,88.083994 h 24.88796 v -12.18795 h -24.88796 z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-1-5-0-6-9-2-4"
+ style="fill:#8b6ff9;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56911337;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m 111.89662,101.80001 h 24.88796 V 89.612044 h -24.88796 z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-2-3-4-39-9-4-5"
+ style="fill:#8b6ff9;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56911337;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m 111.89662,114.50001 h 24.88796 v -12.18795 h -24.88796 z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-1-7-8-51-1-4-6-0"
+ style="fill:#8b6ff9;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56911337;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m 111.89662,127.20002 h 24.88796 v -12.18795 h -24.88796 z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-1-74-6-3-3-3"
+ style="fill:#afabab;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56911337;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m 85.48063,101.80001 h 24.88794 V 89.612044 H 85.48063 Z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-2-1-5-7-7-6"
+ style="fill:#afabab;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56911337;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m 85.48062,114.50001 h 24.88795 V 102.31206 H 85.48062 Z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-1-7-0-95-1-0-1"
+ style="fill:#afabab;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56911337;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m 85.48063,127.20002 h 24.88794 V 115.01207 H 85.48063 Z" />
+ </g>
+ </g>
+</svg>
diff --git a/doc/source/_static/schemas/07_melt.svg b/doc/source/_static/schemas/07_melt.svg
new file mode 100644
index 0000000000000..c4551b48c5001
--- /dev/null
+++ b/doc/source/_static/schemas/07_melt.svg
@@ -0,0 +1,315 @@
+<?xml version="1.0" encoding="UTF-8" standalone="no"?>
+<!-- Created with Inkscape (http://www.inkscape.org/) -->
+
+<svg
+ xmlns:dc="http://purl.org/dc/elements/1.1/"
+ xmlns:cc="http://creativecommons.org/ns#"
+ xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#"
+ xmlns:svg="http://www.w3.org/2000/svg"
+ xmlns="http://www.w3.org/2000/svg"
+ xmlns:sodipodi="http://sodipodi.sourceforge.net/DTD/sodipodi-0.dtd"
+ xmlns:inkscape="http://www.inkscape.org/namespaces/inkscape"
+ width="275.26425mm"
+ height="64.67041mm"
+ viewBox="0 0 275.26425 64.67041"
+ version="1.1"
+ id="svg19055"
+ inkscape:version="0.92.4 (f8dce91, 2019-08-02)"
+ sodipodi:docname="07_melt.svg">
+ <defs
+ id="defs19049">
+ <marker
+ inkscape:stockid="Arrow2Lend"
+ orient="auto"
+ refY="0"
+ refX="0"
+ id="Arrow2Lend-7-6-9-4"
+ style="overflow:visible"
+ inkscape:isstock="true">
+ <path
+ inkscape:connector-curvature="0"
+ id="path7253-1-4-3-6"
+ style="fill:#000000;fill-opacity:1;fill-rule:evenodd;stroke:#000000;stroke-width:0.625;stroke-linejoin:round;stroke-opacity:1"
+ d="M 8.7185878,4.0337352 -2.2072895,0.01601326 8.7185884,-4.0017078 c -1.7454984,2.3720609 -1.7354408,5.6174519 -6e-7,8.035443 z"
+ transform="matrix(-1.1,0,0,-1.1,-1.1,0)" />
+ </marker>
+ <marker
+ inkscape:stockid="Arrow2Lend"
+ orient="auto"
+ refY="0"
+ refX="0"
+ id="Arrow2Lend-7-6-9-4-1"
+ style="overflow:visible"
+ inkscape:isstock="true">
+ <path
+ inkscape:connector-curvature="0"
+ id="path7253-1-4-3-6-0"
+ style="fill:#000000;fill-opacity:1;fill-rule:evenodd;stroke:#000000;stroke-width:0.625;stroke-linejoin:round;stroke-opacity:1"
+ d="M 8.7185878,4.0337352 -2.2072895,0.01601326 8.7185884,-4.0017078 c -1.7454984,2.3720609 -1.7354408,5.6174519 -6e-7,8.035443 z"
+ transform="matrix(-1.1,0,0,-1.1,-1.1,0)" />
+ </marker>
+ <clipPath
+ id="clipPath1036"
+ clipPathUnits="userSpaceOnUse">
+ <path
+ inkscape:connector-curvature="0"
+ id="path1034"
+ d="M 0,1080 H 1920 V 0 H 0 Z" />
+ </clipPath>
+ </defs>
+ <sodipodi:namedview
+ id="base"
+ pagecolor="#ffffff"
+ bordercolor="#666666"
+ borderopacity="1.0"
+ inkscape:pageopacity="0.0"
+ inkscape:pageshadow="2"
+ inkscape:zoom="0.7"
+ inkscape:cx="568.82093"
+ inkscape:cy="-47.502894"
+ inkscape:document-units="mm"
+ inkscape:current-layer="layer1"
+ showgrid="false"
+ fit-margin-top="0"
+ fit-margin-left="0"
+ fit-margin-right="0"
+ fit-margin-bottom="0"
+ inkscape:window-width="1551"
+ inkscape:window-height="849"
+ inkscape:window-x="49"
+ inkscape:window-y="27"
+ inkscape:window-maximized="1"
+ showguides="false" />
+ <metadata
+ id="metadata19052">
+ <rdf:RDF>
+ <cc:Work
+ rdf:about="">
+ <dc:format>image/svg+xml</dc:format>
+ <dc:type
+ rdf:resource="http://purl.org/dc/dcmitype/StillImage" />
+ <dc:title></dc:title>
+ </cc:Work>
+ </rdf:RDF>
+ </metadata>
+ <g
+ inkscape:label="Layer 1"
+ inkscape:groupmode="layer"
+ id="layer1"
+ transform="translate(68.457043,-84.703481)">
+ <g
+ id="g1283"
+ transform="translate(13.763216,-3.2373883)">
+ <path
+ inkscape:connector-curvature="0"
+ id="path6109-2-9-6-9-5"
+ d="m 22.137533,120.23996 h 43.0917"
+ style="fill:none;stroke:#000000;stroke-width:0.40000001;stroke-linecap:butt;stroke-linejoin:miter;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1;marker-end:url(#Arrow2Lend-7-6-9-4-1)" />
+ <g
+ style="stroke-width:1.11179423"
+ transform="matrix(0.89981363,0,0,0.89908051,-6.8328066,15.041111)"
+ id="g1236">
+ <path
+ d="m 104.44721,148.96344 h 24.88794 v -12.1879 h -24.88794 z"
+ style="opacity:1;fill:#afabab;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.5692926;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ id="path4891-1-50-8-2-1-7-5-2-96-9-5-2"
+ inkscape:connector-curvature="0" />
+ <path
+ d="m 130.8632,148.96344 h 24.88797 v -12.1879 H 130.8632 Z"
+ style="opacity:1;fill:#150458;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.5692926;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ id="path4891-1-50-8-2-1-9-8-0-7-4-1-9-9"
+ inkscape:connector-curvature="0" />
+ <path
+ d="m 156.26321,148.96344 h 24.88796 v -12.1879 h -24.88796 z"
+ style="opacity:1;fill:#e70488;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.5692926;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ id="path4891-1-50-8-2-1-7-8-5-2-8-34-5-3"
+ inkscape:connector-curvature="0" />
+ <path
+ d="m 181.66321,148.96344 24.88796,-12.1879 h -24.88796 z"
+ style="opacity:1;fill:#140357;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.5692926;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ id="path4891-1-50-8-2-1-9-8-2-7-1-29-55-7-6"
+ inkscape:connector-curvature="0"
+ sodipodi:nodetypes="cccc" />
+ <path
+ d="m 181.5915,149.0407 h 24.88796 v -12.18799 z"
+ style="opacity:1;fill:#e50387;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.5692926;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ id="path4891-1-50-8-2-1-9-4-1-73-1-7-2"
+ inkscape:connector-curvature="0"
+ sodipodi:nodetypes="cccc" />
+ <path
+ d="m 104.44721,110.8635 h 24.88794 V 98.675505 h -24.88794 z"
+ style="opacity:1;fill:#afabab;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.5692926;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ id="path4891-1-50-8-2-1-74-6-3-0"
+ inkscape:connector-curvature="0" />
+ <path
+ d="m 130.8632,97.147455 h 24.88797 V 84.959505 H 130.8632 Z"
+ style="opacity:1;fill:#afabab;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.5692926;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ id="path4891-1-50-8-2-7-17-40-0-7"
+ inkscape:connector-curvature="0" />
+ <path
+ d="m 130.8632,110.8635 h 24.88797 V 98.675505 H 130.8632 Z"
+ style="opacity:1;fill:#ffca00;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.5692926;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ id="path4891-1-50-8-2-1-9-1-94-33-6"
+ inkscape:connector-curvature="0" />
+ <path
+ d="m 104.4472,123.5635 h 24.88795 v -12.188 H 104.4472 Z"
+ style="opacity:1;fill:#afabab;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.5692926;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ id="path4891-1-50-8-2-2-1-5-7-1"
+ inkscape:connector-curvature="0" />
+ <path
+ d="m 130.8632,123.5635 h 24.88797 v -12.188 H 130.8632 Z"
+ style="opacity:1;fill:#ffca00;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.5692926;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ id="path4891-1-50-8-2-7-5-1-4-9-0"
+ inkscape:connector-curvature="0" />
+ <path
+ d="m 156.26321,97.147455 h 24.88796 v -12.18795 h -24.88796 z"
+ style="opacity:1;fill:#afabab;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.5692926;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ id="path4891-1-50-8-2-6-7-6-4-9"
+ inkscape:connector-curvature="0" />
+ <path
+ d="m 156.26321,110.8635 h 24.88796 V 98.675505 h -24.88796 z"
+ style="opacity:1;fill:#48e5ac;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.5692926;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ id="path4891-1-50-8-2-1-5-0-6-9-1"
+ inkscape:connector-curvature="0" />
+ <path
+ d="m 156.26321,123.5635 h 24.88796 v -12.188 h -24.88796 z"
+ style="opacity:1;fill:#e70488;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.5692926;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ id="path4891-1-50-8-2-2-3-4-39-9-1"
+ inkscape:connector-curvature="0" />
+ <path
+ d="m 104.44721,136.26349 h 24.88794 V 124.0755 h -24.88794 z"
+ style="opacity:1;fill:#afabab;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.5692926;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ id="path4891-1-50-8-2-1-7-0-95-1-2"
+ inkscape:connector-curvature="0" />
+ <path
+ d="m 130.8632,136.26349 h 24.88797 V 124.0755 H 130.8632 Z"
+ style="opacity:1;fill:#150458;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.5692926;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ id="path4891-1-50-8-2-1-9-8-8-2-9-9"
+ inkscape:connector-curvature="0" />
+ <path
+ d="m 156.26321,136.26349 h 24.88796 V 124.0755 h -24.88796 z"
+ style="opacity:1;fill:#48e5ac;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.5692926;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ id="path4891-1-50-8-2-1-7-8-51-1-4-8"
+ inkscape:connector-curvature="0" />
+ <path
+ d="m 181.66321,97.147455 h 24.88796 v -12.18795 h -24.88796 z"
+ style="opacity:1;fill:#afabab;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.5692926;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ id="path4891-1-50-8-2-7-8-8-5-1-9"
+ inkscape:connector-curvature="0" />
+ <path
+ d="m 181.66321,123.5635 24.88796,-12.188 h -24.88796 z"
+ style="opacity:1;fill:#ffc900;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.5692926;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ id="path4891-1-50-8-2-7-5-5-0-3-4-2"
+ inkscape:connector-curvature="0"
+ sodipodi:nodetypes="cccc" />
+ <path
+ d="M 181.66321,110.8635 206.55117,98.675505 H 181.66321 Z"
+ style="opacity:1;fill:#ffc900;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.5692926;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ id="path4891-1-50-8-2-1-9-4-1-73-1-6"
+ inkscape:connector-curvature="0"
+ sodipodi:nodetypes="cccc" />
+ <path
+ d="m 181.5915,110.94071 h 24.88796 V 98.752722 Z"
+ style="opacity:1;fill:#47e5ab;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.5692926;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ id="path4891-1-50-8-2-1-9-4-1-73-1-7"
+ inkscape:connector-curvature="0"
+ sodipodi:nodetypes="cccc" />
+ <path
+ d="m 181.5915,123.64071 h 24.88796 v -12.188 z"
+ style="opacity:1;fill:#e50387;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.5692926;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ id="path4891-1-50-8-2-1-9-4-1-73-1-7-9"
+ inkscape:connector-curvature="0"
+ sodipodi:nodetypes="cccc" />
+ <path
+ d="M 181.66321,136.26349 206.55117,124.0755 H 181.66321 Z"
+ style="opacity:1;fill:#140357;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.5692926;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ id="path4891-1-50-8-2-1-9-8-2-0-58-6-5"
+ inkscape:connector-curvature="0"
+ sodipodi:nodetypes="cccc" />
+ <path
+ d="m 181.5915,136.34071 h 24.88796 v -12.18799 z"
+ style="opacity:1;fill:#48e5ac;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.5692926;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ id="path4891-1-50-8-2-1-9-4-1-73-1-7-3"
+ inkscape:connector-curvature="0"
+ sodipodi:nodetypes="cccc" />
+ </g>
+ <g
+ style="stroke-width:1.11179423"
+ transform="matrix(0.89981363,0,0,0.89908051,-6.832813,15.041111)"
+ id="g1211">
+ <path
+ d="m -41.785016,123.56348 24.887959,-12.188 h -24.887959 z"
+ style="opacity:1;fill:#ffca00;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.5692926;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ id="path4891-1-50-8-2-1-9-4-1-73-1-3"
+ inkscape:connector-curvature="0"
+ sodipodi:nodetypes="cccc" />
+ <path
+ d="m -41.856727,123.64069 h 24.887959 V 111.4527 Z"
+ style="opacity:1;fill:#48e5ac;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.5692926;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ id="path4891-1-50-8-2-1-9-4-1-73-1-7-7"
+ inkscape:connector-curvature="0"
+ sodipodi:nodetypes="cccc" />
+ <path
+ d="m -16.385018,123.56348 24.8879597,-12.188 H -16.385018 Z"
+ style="opacity:1;fill:#ffca00;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.5692926;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ id="path4891-1-50-8-2-7-5-5-0-3-4-4"
+ inkscape:connector-curvature="0"
+ sodipodi:nodetypes="cccc" />
+ <path
+ d="M -16.456728,123.64069 H 8.4312317 V 111.4527 Z"
+ style="opacity:1;fill:#e70488;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.5692926;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ id="path4891-1-50-8-2-1-9-4-1-73-1-7-9-0"
+ inkscape:connector-curvature="0"
+ sodipodi:nodetypes="cccc" />
+ <path
+ d="m -41.785016,136.26348 24.887959,-12.188 h -24.887959 z"
+ style="opacity:1;fill:#150458;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.5692926;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ id="path4891-1-50-8-2-1-9-8-2-0-58-6-6"
+ inkscape:connector-curvature="0"
+ sodipodi:nodetypes="cccc" />
+ <path
+ d="m -41.856727,136.34069 h 24.887958 V 124.1527 Z"
+ style="opacity:1;fill:#47e5ab;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.5692926;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ id="path4891-1-50-8-2-1-9-4-1-73-1-7-3-3"
+ inkscape:connector-curvature="0"
+ sodipodi:nodetypes="cccc" />
+ <path
+ d="m -68.201008,123.56343 h 24.88795 v -12.1879 h -24.88795 z"
+ style="opacity:1;fill:#ffca00;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.5692926;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ id="path4891-1-50-8-2-1-74-6-3-5-2"
+ inkscape:connector-curvature="0" />
+ <path
+ d="m -41.785018,109.84743 h 24.88796 V 97.659523 h -24.88796 z"
+ style="opacity:1;fill:#48e5ac;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.5692926;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ id="path4891-1-50-8-2-7-17-40-0-2-0"
+ inkscape:connector-curvature="0" />
+ <path
+ d="m -68.201018,136.26343 h 24.88796 v -12.1879 h -24.88796 z"
+ style="opacity:1;fill:#150458;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.5692926;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ id="path4891-1-50-8-2-2-1-5-7-91-2"
+ inkscape:connector-curvature="0" />
+ <path
+ d="M -16.385018,109.84743 H 8.5029417 V 97.659523 H -16.385018 Z"
+ style="opacity:1;fill:#e70488;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.5692926;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ id="path4891-1-50-8-2-6-7-6-4-3-5"
+ inkscape:connector-curvature="0" />
+ <g
+ style="stroke-width:1.11179423"
+ id="g1156">
+ <path
+ sodipodi:nodetypes="cccc"
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-1-9-8-2-7-1-29-55-7-5"
+ style="opacity:1;fill:#150458;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.5692926;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="M -16.385018,136.26343 8.5029417,124.07553 H -16.385018 Z" />
+ <path
+ sodipodi:nodetypes="cccc"
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-1-9-4-1-73-1-7-2-8"
+ style="opacity:1;fill:#e70488;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.5692926;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="M -16.456728,136.34069 H 8.4312317 V 124.1527 Z" />
+ </g>
+ </g>
+ </g>
+ </g>
+</svg>
diff --git a/doc/source/_static/schemas/07_pivot.svg b/doc/source/_static/schemas/07_pivot.svg
new file mode 100644
index 0000000000000..14b61c5f9a73b
--- /dev/null
+++ b/doc/source/_static/schemas/07_pivot.svg
@@ -0,0 +1,338 @@
+<?xml version="1.0" encoding="UTF-8" standalone="no"?>
+<!-- Created with Inkscape (http://www.inkscape.org/) -->
+
+<svg
+ xmlns:dc="http://purl.org/dc/elements/1.1/"
+ xmlns:cc="http://creativecommons.org/ns#"
+ xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#"
+ xmlns:svg="http://www.w3.org/2000/svg"
+ xmlns="http://www.w3.org/2000/svg"
+ xmlns:sodipodi="http://sodipodi.sourceforge.net/DTD/sodipodi-0.dtd"
+ xmlns:inkscape="http://www.inkscape.org/namespaces/inkscape"
+ width="272.51166mm"
+ height="64.025223mm"
+ viewBox="0 0 272.51166 64.025223"
+ version="1.1"
+ id="svg19055"
+ inkscape:version="0.92.4 (f8dce91, 2019-08-02)"
+ sodipodi:docname="07_pivot.svg">
+ <defs
+ id="defs19049">
+ <marker
+ inkscape:stockid="Arrow2Lend"
+ orient="auto"
+ refY="0"
+ refX="0"
+ id="Arrow2Lend-7-6-9-4"
+ style="overflow:visible"
+ inkscape:isstock="true">
+ <path
+ inkscape:connector-curvature="0"
+ id="path7253-1-4-3-6"
+ style="fill:#000000;fill-opacity:1;fill-rule:evenodd;stroke:#000000;stroke-width:0.625;stroke-linejoin:round;stroke-opacity:1"
+ d="M 8.7185878,4.0337352 -2.2072895,0.01601326 8.7185884,-4.0017078 c -1.7454984,2.3720609 -1.7354408,5.6174519 -6e-7,8.035443 z"
+ transform="matrix(-1.1,0,0,-1.1,-1.1,0)" />
+ </marker>
+ <marker
+ inkscape:stockid="Arrow2Lend"
+ orient="auto"
+ refY="0"
+ refX="0"
+ id="Arrow2Lend-7-6-9-4-1"
+ style="overflow:visible"
+ inkscape:isstock="true">
+ <path
+ inkscape:connector-curvature="0"
+ id="path7253-1-4-3-6-0"
+ style="fill:#000000;fill-opacity:1;fill-rule:evenodd;stroke:#000000;stroke-width:0.625;stroke-linejoin:round;stroke-opacity:1"
+ d="M 8.7185878,4.0337352 -2.2072895,0.01601326 8.7185884,-4.0017078 c -1.7454984,2.3720609 -1.7354408,5.6174519 -6e-7,8.035443 z"
+ transform="matrix(-1.1,0,0,-1.1,-1.1,0)" />
+ </marker>
+ <marker
+ inkscape:stockid="Arrow2Lend"
+ orient="auto"
+ refY="0"
+ refX="0"
+ id="Arrow2Lend-7-6-9-4-1-3"
+ style="overflow:visible"
+ inkscape:isstock="true">
+ <path
+ inkscape:connector-curvature="0"
+ id="path7253-1-4-3-6-0-6"
+ style="fill:#000000;fill-opacity:1;fill-rule:evenodd;stroke:#000000;stroke-width:0.625;stroke-linejoin:round;stroke-opacity:1"
+ d="M 8.7185878,4.0337352 -2.2072895,0.01601326 8.7185884,-4.0017078 c -1.7454984,2.3720609 -1.7354408,5.6174519 -6e-7,8.035443 z"
+ transform="matrix(-1.1,0,0,-1.1,-1.1,0)" />
+ </marker>
+ <marker
+ inkscape:stockid="Arrow2Lend"
+ orient="auto"
+ refY="0"
+ refX="0"
+ id="Arrow2Lend-7-6-9-4-1-2"
+ style="overflow:visible"
+ inkscape:isstock="true">
+ <path
+ inkscape:connector-curvature="0"
+ id="path7253-1-4-3-6-0-9"
+ style="fill:#000000;fill-opacity:1;fill-rule:evenodd;stroke:#000000;stroke-width:0.625;stroke-linejoin:round;stroke-opacity:1"
+ d="M 8.7185878,4.0337352 -2.2072895,0.01601326 8.7185884,-4.0017078 c -1.7454984,2.3720609 -1.7354408,5.6174519 -6e-7,8.035443 z"
+ transform="matrix(-1.1,0,0,-1.1,-1.1,0)" />
+ </marker>
+ </defs>
+ <sodipodi:namedview
+ id="base"
+ pagecolor="#ffffff"
+ bordercolor="#666666"
+ borderopacity="1.0"
+ inkscape:pageopacity="0.0"
+ inkscape:pageshadow="2"
+ inkscape:zoom="0.49497475"
+ inkscape:cx="494.55926"
+ inkscape:cy="32.273014"
+ inkscape:document-units="mm"
+ inkscape:current-layer="layer1"
+ showgrid="false"
+ fit-margin-top="0"
+ fit-margin-left="0"
+ fit-margin-right="0"
+ fit-margin-bottom="0"
+ inkscape:window-width="1551"
+ inkscape:window-height="849"
+ inkscape:window-x="49"
+ inkscape:window-y="27"
+ inkscape:window-maximized="1"
+ showguides="false" />
+ <metadata
+ id="metadata19052">
+ <rdf:RDF>
+ <cc:Work
+ rdf:about="">
+ <dc:format>image/svg+xml</dc:format>
+ <dc:type
+ rdf:resource="http://purl.org/dc/dcmitype/StillImage" />
+ <dc:title></dc:title>
+ </cc:Work>
+ </rdf:RDF>
+ </metadata>
+ <g
+ inkscape:label="Layer 1"
+ inkscape:groupmode="layer"
+ id="layer1"
+ transform="translate(73.058798,-82.073475)">
+ <g
+ id="g1246"
+ transform="matrix(0.98997936,0,0,0.98990821,12.896057,-1.7340547)"
+ style="stroke-width:1.01015842">
+ <path
+ inkscape:connector-curvature="0"
+ id="path6109-2-9-6-9-5"
+ d="M 37.958629,117.00715 H 85.848212"
+ style="fill:none;stroke:#000000;stroke-width:0.40406337;stroke-linecap:butt;stroke-linejoin:miter;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1;marker-end:url(#Arrow2Lend-7-6-9-4-1)" />
+ <g
+ style="stroke-width:1.12308824"
+ transform="matrix(0.89981363,0,0,0.89908051,-166.78578,11.765142)"
+ id="g1236">
+ <path
+ d="m 104.44721,148.96344 h 24.88794 v -12.1879 h -24.88794 z"
+ style="opacity:1;fill:#afabab;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.57507569;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ id="path4891-1-50-8-2-1-7-5-2-96-9-5-2-5"
+ inkscape:connector-curvature="0" />
+ <path
+ d="m 130.8632,148.96344 h 24.88797 v -12.1879 H 130.8632 Z"
+ style="opacity:1;fill:#150458;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.57507569;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ id="path4891-1-50-8-2-1-9-8-0-7-4-1-9-9-3"
+ inkscape:connector-curvature="0" />
+ <path
+ d="m 156.26321,148.96344 h 24.88796 v -12.1879 h -24.88796 z"
+ style="opacity:1;fill:#e70488;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.57507569;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ id="path4891-1-50-8-2-1-7-8-5-2-8-34-5-3-5"
+ inkscape:connector-curvature="0" />
+ <path
+ d="m 181.66321,148.96344 24.88796,-12.1879 h -24.88796 z"
+ style="opacity:1;fill:#140357;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.57507569;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ id="path4891-1-50-8-2-1-9-8-2-7-1-29-55-7-6-6"
+ inkscape:connector-curvature="0"
+ sodipodi:nodetypes="cccc" />
+ <path
+ d="m 181.5915,149.0407 h 24.88796 v -12.18799 z"
+ style="opacity:1;fill:#e50387;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.57507569;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ id="path4891-1-50-8-2-1-9-4-1-73-1-7-2-2"
+ inkscape:connector-curvature="0"
+ sodipodi:nodetypes="cccc" />
+ <path
+ d="m 104.44721,110.8635 h 24.88794 V 98.675505 h -24.88794 z"
+ style="opacity:1;fill:#afabab;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.57507569;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ id="path4891-1-50-8-2-1-74-6-3-0-9"
+ inkscape:connector-curvature="0" />
+ <path
+ d="m 130.8632,97.147455 h 24.88797 V 84.959505 H 130.8632 Z"
+ style="opacity:1;fill:#afabab;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.57507569;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ id="path4891-1-50-8-2-7-17-40-0-7-1"
+ inkscape:connector-curvature="0" />
+ <path
+ d="m 130.8632,110.8635 h 24.88797 V 98.675505 H 130.8632 Z"
+ style="opacity:1;fill:#ffca00;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.57507569;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ id="path4891-1-50-8-2-1-9-1-94-33-6-2"
+ inkscape:connector-curvature="0" />
+ <path
+ d="m 104.4472,123.5635 h 24.88795 v -12.188 H 104.4472 Z"
+ style="opacity:1;fill:#afabab;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.57507569;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ id="path4891-1-50-8-2-2-1-5-7-1-7"
+ inkscape:connector-curvature="0" />
+ <path
+ d="m 130.8632,123.5635 h 24.88797 v -12.188 H 130.8632 Z"
+ style="opacity:1;fill:#ffca00;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.57507569;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ id="path4891-1-50-8-2-7-5-1-4-9-0-0"
+ inkscape:connector-curvature="0" />
+ <path
+ d="m 156.26321,97.147455 h 24.88796 v -12.18795 h -24.88796 z"
+ style="opacity:1;fill:#afabab;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.57507569;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ id="path4891-1-50-8-2-6-7-6-4-9-9"
+ inkscape:connector-curvature="0" />
+ <path
+ d="m 156.26321,110.8635 h 24.88796 V 98.675505 h -24.88796 z"
+ style="opacity:1;fill:#48e5ac;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.57507569;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ id="path4891-1-50-8-2-1-5-0-6-9-1-3"
+ inkscape:connector-curvature="0" />
+ <path
+ d="m 156.26321,123.5635 h 24.88796 v -12.188 h -24.88796 z"
+ style="opacity:1;fill:#e70488;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.57507569;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ id="path4891-1-50-8-2-2-3-4-39-9-1-6"
+ inkscape:connector-curvature="0" />
+ <path
+ d="m 104.44721,136.26349 h 24.88794 V 124.0755 h -24.88794 z"
+ style="opacity:1;fill:#afabab;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.57507569;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ id="path4891-1-50-8-2-1-7-0-95-1-2-0"
+ inkscape:connector-curvature="0" />
+ <path
+ d="m 130.8632,136.26349 h 24.88797 V 124.0755 H 130.8632 Z"
+ style="opacity:1;fill:#150458;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.57507569;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ id="path4891-1-50-8-2-1-9-8-8-2-9-9-6"
+ inkscape:connector-curvature="0" />
+ <path
+ d="m 156.26321,136.26349 h 24.88796 V 124.0755 h -24.88796 z"
+ style="opacity:1;fill:#48e5ac;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.57507569;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ id="path4891-1-50-8-2-1-7-8-51-1-4-8-2"
+ inkscape:connector-curvature="0" />
+ <path
+ d="m 181.66321,97.147455 h 24.88796 v -12.18795 h -24.88796 z"
+ style="opacity:1;fill:#afabab;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.57507569;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ id="path4891-1-50-8-2-7-8-8-5-1-9-6"
+ inkscape:connector-curvature="0" />
+ <path
+ d="m 181.66321,123.5635 24.88796,-12.188 h -24.88796 z"
+ style="opacity:1;fill:#ffc900;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.57507569;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ id="path4891-1-50-8-2-7-5-5-0-3-4-2-1"
+ inkscape:connector-curvature="0"
+ sodipodi:nodetypes="cccc" />
+ <path
+ d="M 181.66321,110.8635 206.55117,98.675505 H 181.66321 Z"
+ style="opacity:1;fill:#ffc900;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.57507569;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ id="path4891-1-50-8-2-1-9-4-1-73-1-6-8"
+ inkscape:connector-curvature="0"
+ sodipodi:nodetypes="cccc" />
+ <path
+ d="m 181.5915,110.94071 h 24.88796 V 98.752722 Z"
+ style="opacity:1;fill:#47e5ab;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.57507569;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ id="path4891-1-50-8-2-1-9-4-1-73-1-7-79"
+ inkscape:connector-curvature="0"
+ sodipodi:nodetypes="cccc" />
+ <path
+ d="m 181.5915,123.64071 h 24.88796 v -12.188 z"
+ style="opacity:1;fill:#e50387;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.57507569;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ id="path4891-1-50-8-2-1-9-4-1-73-1-7-9-2"
+ inkscape:connector-curvature="0"
+ sodipodi:nodetypes="cccc" />
+ <path
+ d="M 181.66321,136.26349 206.55117,124.0755 H 181.66321 Z"
+ style="opacity:1;fill:#140357;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.57507569;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ id="path4891-1-50-8-2-1-9-8-2-0-58-6-5-0"
+ inkscape:connector-curvature="0"
+ sodipodi:nodetypes="cccc" />
+ <path
+ d="m 181.5915,136.34071 h 24.88796 v -12.18799 z"
+ style="opacity:1;fill:#48e5ac;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.57507569;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ id="path4891-1-50-8-2-1-9-4-1-73-1-7-3-2"
+ inkscape:connector-curvature="0"
+ sodipodi:nodetypes="cccc" />
+ </g>
+ <g
+ style="stroke-width:1.12308824"
+ transform="matrix(0.89981363,0,0,0.89908051,166.77195,11.765115)"
+ id="g1211">
+ <path
+ d="m -41.785016,123.56348 24.887959,-12.188 h -24.887959 z"
+ style="opacity:1;fill:#ffca00;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.57507569;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ id="path4891-1-50-8-2-1-9-4-1-73-1-3-3"
+ inkscape:connector-curvature="0"
+ sodipodi:nodetypes="cccc" />
+ <path
+ d="m -41.856727,123.64069 h 24.887959 V 111.4527 Z"
+ style="opacity:1;fill:#48e5ac;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.57507569;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ id="path4891-1-50-8-2-1-9-4-1-73-1-7-7-7"
+ inkscape:connector-curvature="0"
+ sodipodi:nodetypes="cccc" />
+ <path
+ d="m -16.385018,123.56348 24.8879597,-12.188 H -16.385018 Z"
+ style="opacity:1;fill:#ffca00;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.57507569;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ id="path4891-1-50-8-2-7-5-5-0-3-4-4-5"
+ inkscape:connector-curvature="0"
+ sodipodi:nodetypes="cccc" />
+ <path
+ d="M -16.456728,123.64069 H 8.4312317 V 111.4527 Z"
+ style="opacity:1;fill:#e70488;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.57507569;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ id="path4891-1-50-8-2-1-9-4-1-73-1-7-9-0-9"
+ inkscape:connector-curvature="0"
+ sodipodi:nodetypes="cccc" />
+ <path
+ d="m -41.785016,136.26348 24.887959,-12.188 h -24.887959 z"
+ style="opacity:1;fill:#150458;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.57507569;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ id="path4891-1-50-8-2-1-9-8-2-0-58-6-6-2"
+ inkscape:connector-curvature="0"
+ sodipodi:nodetypes="cccc" />
+ <path
+ d="m -41.856727,136.34069 h 24.887958 V 124.1527 Z"
+ style="opacity:1;fill:#47e5ab;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.57507569;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ id="path4891-1-50-8-2-1-9-4-1-73-1-7-3-3-2"
+ inkscape:connector-curvature="0"
+ sodipodi:nodetypes="cccc" />
+ <path
+ d="m -68.201008,123.56343 h 24.88795 v -12.1879 h -24.88795 z"
+ style="opacity:1;fill:#ffca00;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.57507569;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ id="path4891-1-50-8-2-1-74-6-3-5-2-8"
+ inkscape:connector-curvature="0" />
+ <path
+ d="m -41.785018,109.84743 h 24.88796 V 97.659523 h -24.88796 z"
+ style="opacity:1;fill:#48e5ac;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.57507569;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ id="path4891-1-50-8-2-7-17-40-0-2-0-9"
+ inkscape:connector-curvature="0" />
+ <path
+ d="m -68.201018,136.26343 h 24.88796 v -12.1879 h -24.88796 z"
+ style="opacity:1;fill:#150458;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.57507569;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ id="path4891-1-50-8-2-2-1-5-7-91-2-7"
+ inkscape:connector-curvature="0" />
+ <path
+ d="M -16.385018,109.84743 H 8.5029417 V 97.659523 H -16.385018 Z"
+ style="opacity:1;fill:#e70488;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.57507569;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ id="path4891-1-50-8-2-6-7-6-4-3-5-3"
+ inkscape:connector-curvature="0" />
+ <g
+ style="stroke-width:1.12308824"
+ id="g1156">
+ <path
+ sodipodi:nodetypes="cccc"
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-1-9-8-2-7-1-29-55-7-5-6"
+ style="opacity:1;fill:#150458;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.57507569;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="M -16.385018,136.26343 8.5029417,124.07553 H -16.385018 Z" />
+ <path
+ sodipodi:nodetypes="cccc"
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-1-9-4-1-73-1-7-2-8-1"
+ style="opacity:1;fill:#e70488;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.57507569;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="M -16.456728,136.34069 H 8.4312317 V 124.1527 Z" />
+ </g>
+ </g>
+ </g>
+ </g>
+</svg>
diff --git a/doc/source/_static/schemas/07_pivot_table.svg b/doc/source/_static/schemas/07_pivot_table.svg
new file mode 100644
index 0000000000000..81ddb8b7f9288
--- /dev/null
+++ b/doc/source/_static/schemas/07_pivot_table.svg
@@ -0,0 +1,455 @@
+<?xml version="1.0" encoding="UTF-8" standalone="no"?>
+<!-- Created with Inkscape (http://www.inkscape.org/) -->
+
+<svg
+ xmlns:dc="http://purl.org/dc/elements/1.1/"
+ xmlns:cc="http://creativecommons.org/ns#"
+ xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#"
+ xmlns:svg="http://www.w3.org/2000/svg"
+ xmlns="http://www.w3.org/2000/svg"
+ xmlns:sodipodi="http://sodipodi.sourceforge.net/DTD/sodipodi-0.dtd"
+ xmlns:inkscape="http://www.inkscape.org/namespaces/inkscape"
+ width="310.98999mm"
+ height="77.370468mm"
+ viewBox="0 0 310.98998 77.370469"
+ version="1.1"
+ id="svg19055"
+ inkscape:version="0.92.4 (f8dce91, 2019-08-02)"
+ sodipodi:docname="07_pivot_table.svg">
+ <defs
+ id="defs19049">
+ <marker
+ inkscape:stockid="Arrow1Mend"
+ orient="auto"
+ refY="0"
+ refX="0"
+ id="marker14101"
+ style="overflow:visible"
+ inkscape:isstock="true">
+ <path
+ id="path14103"
+ d="M 0,0 5,-5 -12.5,0 5,5 Z"
+ style="fill:#000000;fill-opacity:1;fill-rule:evenodd;stroke:#000000;stroke-width:1.00000003pt;stroke-opacity:1"
+ transform="matrix(-0.4,0,0,-0.4,-4,0)"
+ inkscape:connector-curvature="0" />
+ </marker>
+ <marker
+ inkscape:isstock="true"
+ style="overflow:visible"
+ id="marker14061"
+ refX="0"
+ refY="0"
+ orient="auto"
+ inkscape:stockid="Arrow2Mend">
+ <path
+ transform="scale(-0.6)"
+ d="M 8.7185878,4.0337352 -2.2072895,0.01601326 8.7185884,-4.0017078 c -1.7454984,2.3720609 -1.7354408,5.6174519 -6e-7,8.035443 z"
+ style="fill:#000000;fill-opacity:1;fill-rule:evenodd;stroke:#000000;stroke-width:0.625;stroke-linejoin:round;stroke-opacity:1"
+ id="path14063"
+ inkscape:connector-curvature="0" />
+ </marker>
+ <marker
+ inkscape:isstock="true"
+ style="overflow:visible"
+ id="marker13985"
+ refX="0"
+ refY="0"
+ orient="auto"
+ inkscape:stockid="Arrow1Mend"
+ inkscape:collect="always">
+ <path
+ transform="matrix(-0.4,0,0,-0.4,-4,0)"
+ style="fill:#000000;fill-opacity:1;fill-rule:evenodd;stroke:#000000;stroke-width:1.00000003pt;stroke-opacity:1"
+ d="M 0,0 5,-5 -12.5,0 5,5 Z"
+ id="path13987"
+ inkscape:connector-curvature="0" />
+ </marker>
+ <marker
+ inkscape:isstock="true"
+ style="overflow:visible"
+ id="marker13901"
+ refX="0"
+ refY="0"
+ orient="auto"
+ inkscape:stockid="Arrow2Mend">
+ <path
+ transform="scale(-0.6)"
+ d="M 8.7185878,4.0337352 -2.2072895,0.01601326 8.7185884,-4.0017078 c -1.7454984,2.3720609 -1.7354408,5.6174519 -6e-7,8.035443 z"
+ style="fill:#000000;fill-opacity:1;fill-rule:evenodd;stroke:#000000;stroke-width:0.625;stroke-linejoin:round;stroke-opacity:1"
+ id="path13903"
+ inkscape:connector-curvature="0" />
+ </marker>
+ <marker
+ inkscape:stockid="Arrow2Lend"
+ orient="auto"
+ refY="0"
+ refX="0"
+ id="Arrow2Lend-7-6-9-4"
+ style="overflow:visible"
+ inkscape:isstock="true">
+ <path
+ inkscape:connector-curvature="0"
+ id="path7253-1-4-3-6"
+ style="fill:#000000;fill-opacity:1;fill-rule:evenodd;stroke:#000000;stroke-width:0.625;stroke-linejoin:round;stroke-opacity:1"
+ d="M 8.7185878,4.0337352 -2.2072895,0.01601326 8.7185884,-4.0017078 c -1.7454984,2.3720609 -1.7354408,5.6174519 -6e-7,8.035443 z"
+ transform="matrix(-1.1,0,0,-1.1,-1.1,0)" />
+ </marker>
+ <marker
+ inkscape:stockid="Arrow2Lend"
+ orient="auto"
+ refY="0"
+ refX="0"
+ id="Arrow2Lend-7-6-9-4-1"
+ style="overflow:visible"
+ inkscape:isstock="true">
+ <path
+ inkscape:connector-curvature="0"
+ id="path7253-1-4-3-6-0"
+ style="fill:#000000;fill-opacity:1;fill-rule:evenodd;stroke:#000000;stroke-width:0.625;stroke-linejoin:round;stroke-opacity:1"
+ d="M 8.7185878,4.0337352 -2.2072895,0.01601326 8.7185884,-4.0017078 c -1.7454984,2.3720609 -1.7354408,5.6174519 -6e-7,8.035443 z"
+ transform="matrix(-1.1,0,0,-1.1,-1.1,0)" />
+ </marker>
+ <marker
+ inkscape:stockid="Arrow2Lend"
+ orient="auto"
+ refY="0"
+ refX="0"
+ id="Arrow2Lend-7-6-9-4-1-3"
+ style="overflow:visible"
+ inkscape:isstock="true">
+ <path
+ inkscape:connector-curvature="0"
+ id="path7253-1-4-3-6-0-6"
+ style="fill:#000000;fill-opacity:1;fill-rule:evenodd;stroke:#000000;stroke-width:0.625;stroke-linejoin:round;stroke-opacity:1"
+ d="M 8.7185878,4.0337352 -2.2072895,0.01601326 8.7185884,-4.0017078 c -1.7454984,2.3720609 -1.7354408,5.6174519 -6e-7,8.035443 z"
+ transform="matrix(-1.1,0,0,-1.1,-1.1,0)" />
+ </marker>
+ </defs>
+ <sodipodi:namedview
+ id="base"
+ pagecolor="#ffffff"
+ bordercolor="#666666"
+ borderopacity="1.0"
+ inkscape:pageopacity="0.0"
+ inkscape:pageshadow="2"
+ inkscape:zoom="0.44945336"
+ inkscape:cx="392.70209"
+ inkscape:cy="-168.6873"
+ inkscape:document-units="mm"
+ inkscape:current-layer="layer1"
+ showgrid="false"
+ fit-margin-top="0"
+ fit-margin-left="0"
+ fit-margin-right="0"
+ fit-margin-bottom="0"
+ inkscape:window-width="1875"
+ inkscape:window-height="1029"
+ inkscape:window-x="45"
+ inkscape:window-y="27"
+ inkscape:window-maximized="1"
+ showguides="false" />
+ <metadata
+ id="metadata19052">
+ <rdf:RDF>
+ <cc:Work
+ rdf:about="">
+ <dc:format>image/svg+xml</dc:format>
+ <dc:type
+ rdf:resource="http://purl.org/dc/dcmitype/StillImage" />
+ <dc:title />
+ </cc:Work>
+ </rdf:RDF>
+ </metadata>
+ <g
+ inkscape:label="Layer 1"
+ inkscape:groupmode="layer"
+ id="layer1"
+ transform="translate(90.105873,-78.392086)">
+ <g
+ id="g1211"
+ transform="matrix(0.88189511,0,0,0.88119418,197.57988,12.204016)"
+ style="stroke-width:1.13437259">
+ <path
+ sodipodi:nodetypes="cccc"
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-1-9-4-1-73-1-3-3"
+ style="opacity:1;fill:#ffca00;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.58085382;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m -41.785016,123.56348 24.887959,-12.188 h -24.887959 z" />
+ <path
+ sodipodi:nodetypes="cccc"
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-1-9-4-1-73-1-7-7-7"
+ style="opacity:1;fill:#48e5ac;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.58085382;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m -41.856727,123.64069 h 24.887959 V 111.4527 Z" />
+ <path
+ sodipodi:nodetypes="cccc"
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-7-5-5-0-3-4-4-5"
+ style="opacity:1;fill:#ffca00;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.58085382;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m -16.385018,123.56348 24.8879597,-12.188 H -16.385018 Z" />
+ <path
+ sodipodi:nodetypes="cccc"
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-1-9-4-1-73-1-7-9-0-9"
+ style="opacity:1;fill:#e70488;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.58085382;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="M -16.456728,123.64069 H 8.4312317 V 111.4527 Z" />
+ <path
+ sodipodi:nodetypes="cccc"
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-1-9-8-2-0-58-6-6-2"
+ style="opacity:1;fill:#150458;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.58085382;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m -41.785016,136.26348 24.887959,-12.188 h -24.887959 z" />
+ <path
+ sodipodi:nodetypes="cccc"
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-1-9-4-1-73-1-7-3-3-2"
+ style="opacity:1;fill:#47e5ab;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.58085382;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m -41.856727,136.34069 h 24.887958 V 124.1527 Z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-1-74-6-3-5-2-8"
+ style="opacity:1;fill:#ffca00;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.58085382;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m -68.201008,123.56343 h 24.88795 v -12.1879 h -24.88795 z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-7-17-40-0-2-0-9"
+ style="opacity:1;fill:#48e5ac;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.58085382;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m -41.785018,109.84743 h 24.88796 V 97.659523 h -24.88796 z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-2-1-5-7-91-2-7"
+ style="opacity:1;fill:#150458;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.58085382;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m -68.201018,136.26343 h 24.88796 v -12.1879 h -24.88796 z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-6-7-6-4-3-5-3"
+ style="opacity:1;fill:#e70488;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.58085382;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="M -16.385018,109.84743 H 8.5029417 V 97.659523 H -16.385018 Z" />
+ <g
+ id="g1156"
+ style="stroke-width:1.13437259">
+ <path
+ d="M -16.385018,136.26343 8.5029417,124.07553 H -16.385018 Z"
+ style="opacity:1;fill:#150458;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.58085382;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ id="path4891-1-50-8-2-1-9-8-2-7-1-29-55-7-5-6"
+ inkscape:connector-curvature="0"
+ sodipodi:nodetypes="cccc" />
+ <path
+ d="M -16.456728,136.34069 H 8.4312317 V 124.1527 Z"
+ style="opacity:1;fill:#e70488;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.58085382;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ id="path4891-1-50-8-2-1-9-4-1-73-1-7-2-8-1"
+ inkscape:connector-curvature="0"
+ sodipodi:nodetypes="cccc" />
+ </g>
+ </g>
+ <path
+ style="fill:none;stroke:#000000;stroke-width:0.40000001;stroke-linecap:butt;stroke-linejoin:miter;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1;marker-end:url(#Arrow2Lend-7-6-9-4-1)"
+ d="M 65.052483,117.00647 H 108.14521"
+ id="path6109-2-9-6-9-5"
+ inkscape:connector-curvature="0" />
+ <path
+ d="m -74.300346,105.80648 h 22.395042 V 94.846642 h -22.395042 z"
+ style="opacity:1;fill:#afabab;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.51204854;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ id="path4891-1-50-8-2-1-74-6-3"
+ inkscape:connector-curvature="0" />
+ <path
+ d="m -50.530312,93.472569 h 22.39507 V 82.512767 h -22.39507 z"
+ style="opacity:1;fill:#afabab;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.51204854;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ id="path4891-1-50-8-2-7-17-40-0"
+ inkscape:connector-curvature="0" />
+ <path
+ d="m -50.530312,105.80648 h 22.39507 V 94.846642 h -22.39507 z"
+ style="opacity:1;fill:#ffca00;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.51204854;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ id="path4891-1-50-8-2-1-9-1-94-33"
+ inkscape:connector-curvature="0" />
+ <path
+ d="m -74.300355,117.22673 h 22.395051 v -10.95984 h -22.395051 z"
+ style="opacity:1;fill:#afabab;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.51204854;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ id="path4891-1-50-8-2-2-1-5-7"
+ inkscape:connector-curvature="0" />
+ <path
+ d="m -50.530312,117.22673 h 22.39507 v -10.95984 h -22.39507 z"
+ style="opacity:1;fill:#ffca00;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.51204854;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ id="path4891-1-50-8-2-7-5-1-4-9"
+ inkscape:connector-curvature="0" />
+ <path
+ d="M -27.674491,93.472569 H -5.2794326 V 82.512767 H -27.674491 Z"
+ style="opacity:1;fill:#afabab;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.51204854;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ id="path4891-1-50-8-2-6-7-6-4"
+ inkscape:connector-curvature="0" />
+ <path
+ d="M -27.674491,105.80648 H -5.2794326 V 94.846642 H -27.674491 Z"
+ style="opacity:1;fill:#48e5ac;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.51204854;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ id="path4891-1-50-8-2-1-5-0-6-9"
+ inkscape:connector-curvature="0" />
+ <path
+ d="M -27.674491,117.22673 H -5.2794326 V 106.26689 H -27.674491 Z"
+ style="opacity:1;fill:#e70488;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.51204854;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ id="path4891-1-50-8-2-2-3-4-39-9"
+ inkscape:connector-curvature="0" />
+ <path
+ d="m -74.300346,128.64699 h 22.395042 v -10.95985 h -22.395042 z"
+ style="opacity:1;fill:#afabab;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.51204854;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ id="path4891-1-50-8-2-1-7-0-95-1"
+ inkscape:connector-curvature="0" />
+ <path
+ d="m -50.530312,128.64699 h 22.39507 v -10.95985 h -22.39507 z"
+ style="opacity:1;fill:#150458;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.51204854;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ id="path4891-1-50-8-2-1-9-8-8-2-9"
+ inkscape:connector-curvature="0" />
+ <path
+ d="M -27.674491,128.64699 H -5.2794326 V 117.68714 H -27.674491 Z"
+ style="opacity:1;fill:#48e5ac;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.51204854;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ id="path4891-1-50-8-2-1-7-8-51-1-4"
+ inkscape:connector-curvature="0" />
+ <path
+ d="m -74.300346,140.06724 h 22.395042 v -10.95985 h -22.395042 z"
+ style="opacity:1;fill:#afabab;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.51204854;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ id="path4891-1-50-8-2-1-7-5-6-3-2"
+ inkscape:connector-curvature="0" />
+ <path
+ d="m -50.530312,140.06724 h 22.39507 v -10.95985 h -22.39507 z"
+ style="opacity:1;fill:#ffca00;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.51204854;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ id="path4891-1-50-8-2-1-9-8-0-6-0-0"
+ inkscape:connector-curvature="0" />
+ <path
+ d="M -27.674491,140.06724 H -5.2794326 V 129.10739 H -27.674491 Z"
+ style="opacity:1;fill:#48e5ac;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.51204854;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ id="path4891-1-50-8-2-1-7-8-5-21-9-6"
+ inkscape:connector-curvature="0" />
+ <path
+ d="m -74.300346,151.4875 h 22.395042 v -10.95976 h -22.395042 z"
+ style="opacity:1;fill:#afabab;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.51204854;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ id="path4891-1-50-8-2-1-7-5-2-96-9-5"
+ inkscape:connector-curvature="0" />
+ <path
+ d="m -50.530312,151.4875 h 22.39507 v -10.95976 h -22.39507 z"
+ style="opacity:1;fill:#150458;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.51204854;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ id="path4891-1-50-8-2-1-9-8-0-7-4-1-9"
+ inkscape:connector-curvature="0" />
+ <path
+ d="M -27.674491,151.4875 H -5.2794326 V 140.52774 H -27.674491 Z"
+ style="opacity:1;fill:#e70488;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.51204854;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ id="path4891-1-50-8-2-1-7-8-5-2-8-34-5"
+ inkscape:connector-curvature="0" />
+ <path
+ d="M -4.8186801,93.472569 H 17.576378 V 82.512767 H -4.8186801 Z"
+ style="opacity:1;fill:#afabab;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.51204854;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ id="path4891-1-50-8-2-7-8-8-5-1"
+ inkscape:connector-curvature="0" />
+ <path
+ d="M -4.8186801,117.22673 17.576378,106.26689 H -4.8186801 Z"
+ style="opacity:1;fill:#ffc900;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.51204854;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ id="path4891-1-50-8-2-7-5-5-0-3-4"
+ inkscape:connector-curvature="0"
+ sodipodi:nodetypes="cccc" />
+ <path
+ d="M -4.8186801,140.06724 17.576378,129.10739 H -4.8186801 Z"
+ style="opacity:1;fill:#ffc900;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.51204854;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ id="path4891-1-50-8-2-1-9-8-2-7-2-89-3"
+ inkscape:connector-curvature="0"
+ sodipodi:nodetypes="cccc" />
+ <path
+ d="M -4.8186801,151.4875 17.576378,140.52774 H -4.8186801 Z"
+ style="opacity:1;fill:#120357;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.51204854;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ id="path4891-1-50-8-2-1-9-8-2-7-1-29-55-7"
+ inkscape:connector-curvature="0"
+ sodipodi:nodetypes="cccc" />
+ <path
+ d="M -4.8186801,105.80648 17.576378,94.846642 H -4.8186801 Z"
+ style="opacity:1;fill:#ffc900;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.51204854;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ id="path4891-1-50-8-2-1-9-4-1-73-1"
+ inkscape:connector-curvature="0"
+ sodipodi:nodetypes="cccc" />
+ <path
+ d="M -4.8832082,105.87591 H 17.51185 V 94.916078 Z"
+ style="opacity:1;fill:#45e5ab;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.51204854;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ id="path4891-1-50-8-2-1-9-4-1-73-1-7"
+ inkscape:connector-curvature="0"
+ sodipodi:nodetypes="cccc" />
+ <path
+ d="M -4.8832082,117.29616 H 17.511849 v -10.95983 z"
+ style="opacity:1;fill:#e70488;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.51204854;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ id="path4891-1-50-8-2-1-9-4-1-73-1-7-9"
+ inkscape:connector-curvature="0"
+ sodipodi:nodetypes="cccc" />
+ <path
+ d="M -4.8186801,128.64699 17.576378,117.68714 H -4.8186801 Z"
+ style="opacity:1;fill:#120357;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.51204854;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ id="path4891-1-50-8-2-1-9-8-2-0-58-6"
+ inkscape:connector-curvature="0"
+ sodipodi:nodetypes="cccc" />
+ <path
+ d="M -4.8832082,128.71642 H 17.511849 v -10.95984 z"
+ style="opacity:1;fill:#45e5ab;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.51204854;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ id="path4891-1-50-8-2-1-9-4-1-73-1-7-3"
+ inkscape:connector-curvature="0"
+ sodipodi:nodetypes="cccc" />
+ <path
+ d="M -4.8832082,140.13667 H 17.511849 v -10.95984 z"
+ style="opacity:1;fill:#45e5ab;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.51204854;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ id="path4891-1-50-8-2-1-9-4-1-73-1-7-1"
+ inkscape:connector-curvature="0"
+ sodipodi:nodetypes="cccc" />
+ <path
+ d="M -4.8832082,151.55697 H 17.511849 v -10.95984 z"
+ style="opacity:1;fill:#e70488;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.51204854;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ id="path4891-1-50-8-2-1-9-4-1-73-1-7-2"
+ inkscape:connector-curvature="0"
+ sodipodi:nodetypes="cccc" />
+ <path
+ style="fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:0.28199998;stroke-linecap:butt;stroke-linejoin:miter;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1;marker-end:url(#marker13985)"
+ d="M 15.392997,135.10777 C 95.323619,82.428706 110.04977,99.372596 162.49825,112.63178"
+ id="path13592"
+ inkscape:connector-curvature="0"
+ sodipodi:nodetypes="cc" />
+ <path
+ style="fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:0.28199998;stroke-linecap:butt;stroke-linejoin:miter;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1;marker-end:url(#marker14101)"
+ d="M 12.483482,101.05648 C 63.450395,83.124053 112.26633,94.573723 162.49825,112.63178"
+ id="path13592-1"
+ inkscape:connector-curvature="0"
+ sodipodi:nodetypes="cc" />
+ <g
+ aria-label="mean( )"
+ transform="scale(1.0003349,0.99966518)"
+ style="font-style:normal;font-weight:normal;font-size:10.79440498px;line-height:0%;font-family:sans-serif;letter-spacing:0px;word-spacing:0px;fill:#000000;fill-opacity:1;stroke:none;stroke-width:0.99999994px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1"
+ id="text14840">
+ <path
+ d="m 99.273083,91.613281 v -3.40144 q 0,-0.763588 -0.123959,-1.066049 -0.119001,-0.307419 -0.441295,-0.307419 -0.317335,0 -0.51567,0.476004 -0.193376,0.476003 -0.193376,1.289175 v 3.009729 h -0.837964 v -4.21957 q 0,-0.937132 -0.02975,-1.145383 h 0.738796 l 0.02975,0.629712 v 0.238002 h 0.0099 q 0.168585,-0.505753 0.42642,-0.733838 0.257835,-0.233044 0.644588,-0.233044 0.436336,0 0.649546,0.238002 0.218168,0.238002 0.312377,0.733838 h 0.0099 q 0.19833,-0.525587 0.47104,-0.748713 0.27767,-0.223127 0.69913,-0.223127 0.58509,0 0.83797,0.42642 0.25288,0.42642 0.25288,1.462718 v 3.574983 h -0.83301 v -3.40144 q 0,-0.763588 -0.12396,-1.066049 -0.119,-0.307419 -0.44129,-0.307419 -0.32726,0 -0.52063,0.416503 -0.18842,0.416503 -0.18842,1.249509 v 3.108896 z"
+ style="font-style:normal;font-variant:normal;font-weight:normal;font-stretch:normal;font-size:10.15473652px;line-height:1.25;font-family:'Courier New';-inkscape-font-specification:'Courier New';stroke-width:0.99999994px"
+ id="path1009" />
+ <path
+ d="m 104.32566,89.119222 q 0,0.902423 0.39667,1.413135 0.40163,0.510712 1.0958,0.510712 0.51071,0 0.8925,-0.218168 0.38676,-0.223127 0.51567,-0.604921 l 0.78343,0.223127 q -0.21817,0.614837 -0.80326,0.942089 -0.58013,0.327253 -1.38834,0.327253 -1.17018,0 -1.79989,-0.72888 -0.62971,-0.72888 -0.62971,-2.087473 0,-1.323884 0.61484,-2.032931 0.61979,-0.714005 1.78501,-0.714005 1.16521,0 1.76518,0.709047 0.59996,0.709046 0.59996,2.142015 v 0.119 z m 1.47263,-2.310599 q -0.66442,0 -1.05117,0.436337 -0.38675,0.431378 -0.41154,1.190008 h 2.89568 q -0.13883,-1.626345 -1.43297,-1.626345 z"
+ style="font-style:normal;font-variant:normal;font-weight:normal;font-stretch:normal;font-size:10.15473652px;line-height:1.25;font-family:'Courier New';-inkscape-font-specification:'Courier New';stroke-width:0.99999994px"
+ id="path1011" />
+ <path
+ d="m 114.2771,91.062902 q 0.12892,0 0.29255,-0.03471 v 0.555337 q -0.33717,0.07933 -0.68922,0.07933 -0.49583,0 -0.72392,-0.257835 -0.22312,-0.262794 -0.25287,-0.818131 h -0.0297 q -0.3223,0.599963 -0.76359,0.862756 -0.43634,0.262794 -1.08093,0.262794 -0.78342,0 -1.18009,-0.42642 -0.39667,-0.42642 -0.39667,-1.170175 0,-1.73047 2.2511,-1.755262 l 1.17018,-0.01983 v -0.292544 q 0,-0.649546 -0.2628,-0.932173 -0.26279,-0.287585 -0.83796,-0.287585 -0.58509,0 -0.84292,0.208251 -0.25784,0.208252 -0.30742,0.644588 l -0.93218,-0.08429 q 0.22809,-1.447844 2.09739,-1.447844 0.99168,0 1.48751,0.466087 0.5008,0.461128 0.5008,1.338759 v 2.310599 q 0,0.39667 0.10412,0.599963 0.10413,0.198334 0.39667,0.198334 z m -3.01964,-0.02975 q 0.476,0 0.84292,-0.228085 0.36692,-0.228085 0.57021,-0.609879 0.2033,-0.381794 0.2033,-0.78838 v -0.441295 l -0.94209,0.01983 q -0.58509,0.0099 -0.89251,0.128917 -0.30742,0.119001 -0.48096,0.366919 -0.16859,0.24296 -0.16859,0.649546 0,0.406587 0.21817,0.654505 0.22313,0.247918 0.64955,0.247918 z"
+ style="font-style:normal;font-variant:normal;font-weight:normal;font-stretch:normal;font-size:10.15473652px;line-height:1.25;font-family:'Courier New';-inkscape-font-specification:'Courier New';stroke-width:0.99999994px"
+ id="path1013" />
+ <path
+ d="m 119.21068,91.613281 v -3.446065 q 0,-0.674338 -0.26279,-1.00159 -0.25784,-0.327253 -0.82805,-0.327253 -0.61484,0 -1.01151,0.451212 -0.39171,0.446253 -0.39171,1.2148 v 3.108896 h -0.89251 v -4.21957 q 0,-0.937132 -0.0298,-1.145383 h 0.84293 q 0.005,0.02479 0.01,0.133876 0.005,0.109084 0.01,0.252876 0.01,0.138835 0.0198,0.530546 h 0.0149 q 0.52063,-1.016466 1.71559,-1.016466 0.8578,0 1.27926,0.466087 0.42146,0.461128 0.42146,1.423051 v 3.574983 z"
+ style="font-style:normal;font-variant:normal;font-weight:normal;font-stretch:normal;font-size:10.15473652px;line-height:1.25;font-family:'Courier New';-inkscape-font-specification:'Courier New';stroke-width:0.99999994px"
+ id="path1015" />
+ <path
+ d="m 123.61867,88.985347 q 0,1.363551 0.42146,2.464308 0.42146,1.100758 1.37347,2.270932 h -0.94209 q -0.95201,-1.170174 -1.36851,-2.265974 -0.41155,-1.100757 -0.41155,-2.479183 0,-1.353635 0.40659,-2.439517 0.40659,-1.090841 1.37347,-2.280849 h 0.94209 q -0.95201,1.170175 -1.37347,2.275891 -0.42146,1.100757 -0.42146,2.454392 z"
+ style="font-style:normal;font-variant:normal;font-weight:normal;font-stretch:normal;font-size:10.15473652px;line-height:1.25;font-family:'Courier New';-inkscape-font-specification:'Courier New';stroke-width:0.99999994px"
+ id="path1017" />
+ <path
+ d="m 143.65047,88.97543 q 0,1.388343 -0.41154,2.484142 -0.40659,1.090841 -1.35859,2.261015 h -0.95201 q 0.97184,-1.194966 1.38834,-2.295724 0.4165,-1.105716 0.4165,-2.439516 0,-1.328843 -0.4165,-2.429601 -0.4165,-1.105715 -1.38834,-2.300682 h 0.95201 q 0.96688,1.190008 1.36851,2.270932 0.40162,1.080924 0.40162,2.449434 z"
+ style="font-style:normal;font-variant:normal;font-weight:normal;font-stretch:normal;font-size:10.15473652px;line-height:1.25;font-family:'Courier New';-inkscape-font-specification:'Courier New';stroke-width:0.99999994px"
+ id="path1019" />
+ </g>
+ <path
+ d="m 126.62955,92.397099 13.40642,-6.560918 h -13.40642 z"
+ style="fill:#ffca00;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.3065289;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ id="path4891-1-50-8-2-1-9-4-1-73-1-2"
+ inkscape:connector-curvature="0"
+ sodipodi:nodetypes="cccc" />
+ <path
+ d="m 126.59093,92.438661 h 13.40641 v -6.560913 z"
+ style="fill:#48e5ac;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.3065289;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ id="path4891-1-50-8-2-1-9-4-1-73-1-7-0"
+ inkscape:connector-curvature="0"
+ sodipodi:nodetypes="cccc" />
+ </g>
+</svg>
diff --git a/doc/source/_static/schemas/08_concat_column.svg b/doc/source/_static/schemas/08_concat_column.svg
new file mode 100644
index 0000000000000..8c3e92a36d8ef
--- /dev/null
+++ b/doc/source/_static/schemas/08_concat_column.svg
@@ -0,0 +1,465 @@
+<?xml version="1.0" encoding="UTF-8" standalone="no"?>
+<!-- Created with Inkscape (http://www.inkscape.org/) -->
+
+<svg
+ xmlns:dc="http://purl.org/dc/elements/1.1/"
+ xmlns:cc="http://creativecommons.org/ns#"
+ xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#"
+ xmlns:svg="http://www.w3.org/2000/svg"
+ xmlns="http://www.w3.org/2000/svg"
+ xmlns:sodipodi="http://sodipodi.sourceforge.net/DTD/sodipodi-0.dtd"
+ xmlns:inkscape="http://www.inkscape.org/namespaces/inkscape"
+ width="474.70731mm"
+ height="77.216072mm"
+ viewBox="0 0 474.7073 77.216072"
+ version="1.1"
+ id="svg11623"
+ inkscape:version="0.92.4 (f8dce91, 2019-08-02)"
+ sodipodi:docname="08_concat_column.svg">
+ <defs
+ id="defs11617">
+ <marker
+ inkscape:stockid="Arrow2Lend"
+ orient="auto"
+ refY="0"
+ refX="0"
+ id="Arrow2Lend-7-6-9-4-6-6-1-0"
+ style="overflow:visible"
+ inkscape:isstock="true">
+ <path
+ inkscape:connector-curvature="0"
+ id="path7253-1-4-3-6-0-5-1-1"
+ style="fill:#000000;fill-opacity:1;fill-rule:evenodd;stroke:#000000;stroke-width:0.625;stroke-linejoin:round;stroke-opacity:1"
+ d="M 8.7185878,4.0337352 -2.2072895,0.01601326 8.7185884,-4.0017078 c -1.7454984,2.3720609 -1.7354408,5.6174519 -6e-7,8.035443 z"
+ transform="matrix(-1.1,0,0,-1.1,-1.1,0)" />
+ </marker>
+ </defs>
+ <sodipodi:namedview
+ id="base"
+ pagecolor="#ffffff"
+ bordercolor="#666666"
+ borderopacity="1.0"
+ inkscape:pageopacity="0.0"
+ inkscape:pageshadow="2"
+ inkscape:zoom="0.49497475"
+ inkscape:cx="717.85316"
+ inkscape:cy="232.01409"
+ inkscape:document-units="mm"
+ inkscape:current-layer="layer1"
+ showgrid="false"
+ fit-margin-top="0"
+ fit-margin-left="0"
+ fit-margin-right="0"
+ fit-margin-bottom="0"
+ inkscape:window-width="1875"
+ inkscape:window-height="1056"
+ inkscape:window-x="1965"
+ inkscape:window-y="0"
+ inkscape:window-maximized="1" />
+ <metadata
+ id="metadata11620">
+ <rdf:RDF>
+ <cc:Work
+ rdf:about="">
+ <dc:format>image/svg+xml</dc:format>
+ <dc:type
+ rdf:resource="http://purl.org/dc/dcmitype/StillImage" />
+ <dc:title></dc:title>
+ </cc:Work>
+ </rdf:RDF>
+ </metadata>
+ <g
+ inkscape:label="Layer 1"
+ inkscape:groupmode="layer"
+ id="layer1"
+ transform="translate(129.02778,-98.13007)">
+ <g
+ id="g4921"
+ transform="matrix(0.9,0,0,0.9,10.832587,13.673811)">
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-1-74-52"
+ style="fill:#150458;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.51204854;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m -128.77175,124.2901 h 24.88794 v -12.188 h -24.88794 z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-7-17-07"
+ style="fill:#afabab;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.51204854;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m -102.35576,110.574 h 24.88795 V 98.3861 h -24.88795 z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-1-9-1-1"
+ style="fill:#afabab;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.51204854;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m -102.35576,124.2901 h 24.88795 v -12.188 h -24.88795 z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-2-1-64"
+ style="fill:#150458;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.51204854;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m -128.77176,136.9901 h 24.88795 v -12.188 h -24.88795 z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-7-5-1-9"
+ style="fill:#afabab;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.51204854;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m -102.35576,136.9901 h 24.88795 v -12.188 h -24.88795 z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-6-7-5"
+ style="fill:#afabab;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.51204854;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="M -76.95576,110.574 H -52.0678 V 98.3861 h -24.88796 z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-1-5-0-35"
+ style="fill:#afabab;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.51204854;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m -76.95576,124.2901 h 24.88796 v -12.188 h -24.88796 z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-2-3-4-1"
+ style="fill:#afabab;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.51204854;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m -76.95576,136.9901 h 24.88796 v -12.188 h -24.88796 z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-1-7-0-1"
+ style="fill:#150458;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.51204854;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m -128.77175,149.6901 h 24.88794 v -12.188 h -24.88794 z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-1-9-8-8-00"
+ style="fill:#afabab;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.51204854;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m -102.35576,149.6901 h 24.88795 v -12.188 h -24.88795 z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-1-7-8-51-7"
+ style="fill:#afabab;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.51204854;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m -76.95576,149.6901 h 24.88796 v -12.188 h -24.88796 z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-1-7-5-6-0"
+ style="fill:#150458;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.51204854;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m -128.77175,162.3901 h 24.88794 v -12.188 h -24.88794 z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-1-9-8-0-6-8"
+ style="fill:#afabab;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.51204854;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m -102.35576,162.3901 h 24.88795 v -12.188 h -24.88795 z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-1-7-8-5-21-16"
+ style="fill:#afabab;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.51204854;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m -76.95576,162.3901 h 24.88796 v -12.188 h -24.88796 z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-1-7-5-2-96-4"
+ style="fill:#150458;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.51204854;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m -128.77175,175.0901 h 24.88794 v -12.188 h -24.88794 z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-1-9-8-0-7-4-14"
+ style="fill:#afabab;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.51204854;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m -102.35576,175.0901 h 24.88795 v -12.188 h -24.88795 z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-1-7-8-5-2-8-9"
+ style="fill:#afabab;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.51204854;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m -76.95576,175.0901 h 24.88796 v -12.188 h -24.88796 z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-1-74-52-9"
+ style="fill:#150458;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.51204854;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m -23.678541,124.29012 h 24.88794 v -12.188 h -24.88794 z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-7-17-07-7"
+ style="fill:#646464;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.51204854;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m 2.737439,110.57401 h 24.88796 V 98.386112 H 2.737439 Z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-1-9-1-1-9"
+ style="fill:#969696;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.51204854;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m 2.737439,124.29012 h 24.88796 v -12.188 H 2.737439 Z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-2-1-64-2"
+ style="fill:#150458;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.51204854;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m -23.678561,136.99012 h 24.88796 v -12.188 h -24.88796 z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-7-5-1-9-8"
+ style="fill:#969696;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.51204854;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m 2.737439,136.99012 h 24.88796 v -12.188 H 2.737439 Z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-6-7-5-9"
+ style="fill:#646464;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.51204854;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m 28.137449,110.57401 h 24.88796 V 98.386112 h -24.88796 z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-1-5-0-35-9"
+ style="fill:#969696;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.51204854;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m 28.137449,124.29012 h 24.88796 v -12.188 h -24.88796 z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-2-3-4-1-8"
+ style="fill:#969696;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.51204854;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m 28.137449,136.99012 h 24.88796 v -12.188 h -24.88796 z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-1-7-0-1-9"
+ style="fill:#150458;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.51204854;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m -23.678541,149.69012 h 24.88794 v -12.188 h -24.88794 z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-1-9-8-8-00-3"
+ style="fill:#969696;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.51204854;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m 2.737439,149.69012 h 24.88796 v -12.188 H 2.737439 Z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-1-7-8-51-7-6"
+ style="fill:#969696;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.51204854;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m 28.137449,149.69012 h 24.88796 v -12.188 h -24.88796 z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-1-7-5-6-0-3"
+ style="fill:#150458;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.51204854;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m -23.678541,162.39012 h 24.88794 v -12.188 h -24.88794 z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-1-9-8-0-6-8-6"
+ style="fill:#969696;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.51204854;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m 2.737439,162.39012 h 24.88796 v -12.188 H 2.737439 Z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-1-7-8-5-21-16-0"
+ style="fill:#969696;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.51204854;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m 28.137449,162.39012 h 24.88796 v -12.188 h -24.88796 z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-1-7-5-2-96-4-4"
+ style="fill:#150458;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.51204854;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m -23.678541,175.09012 h 24.88794 v -12.188 h -24.88794 z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-1-9-8-0-7-4-14-4"
+ style="fill:#969696;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.51204854;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m 2.737439,175.09012 h 24.88796 v -12.188 H 2.737439 Z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-1-7-8-5-2-8-9-9"
+ style="fill:#969696;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.51204854;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m 28.137449,175.09012 h 24.88796 v -12.188 h -24.88796 z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-1-9-8-2-0-8-6"
+ style="fill:#969696;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.51204854;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m 53.537459,149.69012 h 24.88793 v -12.188 h -24.88793 z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-7-8-8-62-6"
+ style="fill:#646464;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.51204854;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m 53.537449,110.57401 h 24.88794 V 98.386112 h -24.88794 z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-1-9-4-1-2-4"
+ style="fill:#969696;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.51204854;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m 53.537459,124.29012 h 24.88793 v -12.188 h -24.88793 z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-7-5-5-0-5-1"
+ style="fill:#969696;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.51204854;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m 53.537449,136.99012 h 24.88794 v -12.188 h -24.88794 z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-1-9-8-2-7-2-23-9"
+ style="fill:#969696;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.51204854;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m 53.537459,162.39012 h 24.88793 v -12.188 h -24.88793 z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-1-9-8-2-7-1-29-2-8"
+ style="fill:#969696;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.51204854;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m 53.537459,175.09012 h 24.88793 v -12.188 h -24.88793 z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path6109-2-9-6-9-7-6"
+ d="m 110.92608,136.74514 h 47.88959"
+ style="fill:none;stroke:#000000;stroke-width:0.40000001;stroke-linecap:butt;stroke-linejoin:miter;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1;marker-end:url(#Arrow2Lend-7-6-9-4-6-6-1-0)" />
+ <g
+ transform="translate(-22.985179)"
+ id="g4842">
+ <path
+ d="m 215.50479,124.2901 h 24.88794 v -12.18801 h -24.88794 z"
+ style="fill:#150458;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.51204854;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ id="path4891-1-50-8-2-1-74-5-5-9"
+ inkscape:connector-curvature="0" />
+ <path
+ d="m 241.92077,110.57409 h 24.88795 V 98.386094 h -24.88795 z"
+ style="fill:#afabab;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.51204854;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ id="path4891-1-50-8-2-7-17-47-3-7"
+ inkscape:connector-curvature="0" />
+ <path
+ d="m 241.92077,124.2901 h 24.88795 v -12.18801 h -24.88795 z"
+ style="fill:#adabab;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.51204854;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ id="path4891-1-50-8-2-1-9-1-8-1-7"
+ inkscape:connector-curvature="0" />
+ <path
+ d="m 215.50477,136.99009 h 24.88795 v -12.188 h -24.88795 z"
+ style="fill:#150458;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.51204854;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ id="path4891-1-50-8-2-2-1-6-4-6"
+ inkscape:connector-curvature="0" />
+ <path
+ d="m 241.92077,136.99009 h 24.88795 v -12.188 h -24.88795 z"
+ style="fill:#adabab;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.51204854;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ id="path4891-1-50-8-2-7-5-1-0-20-8"
+ inkscape:connector-curvature="0" />
+ <path
+ d="m 267.32078,110.57409 h 24.88797 V 98.386094 h -24.88797 z"
+ style="fill:#afabab;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.51204854;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ id="path4891-1-50-8-2-6-7-0-1-1"
+ inkscape:connector-curvature="0" />
+ <path
+ d="m 267.32078,124.2901 h 24.88797 v -12.18801 h -24.88797 z"
+ style="fill:#adabab;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.51204854;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ id="path4891-1-50-8-2-1-5-0-64-3-2"
+ inkscape:connector-curvature="0" />
+ <path
+ d="m 267.32078,136.99009 h 24.88797 v -12.188 h -24.88797 z"
+ style="fill:#adabab;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.51204854;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ id="path4891-1-50-8-2-2-3-4-37-0-0"
+ inkscape:connector-curvature="0" />
+ <path
+ d="m 215.50479,149.69009 h 24.88794 V 137.5022 h -24.88794 z"
+ style="fill:#150458;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.51204854;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ id="path4891-1-50-8-2-1-7-0-5-0-3"
+ inkscape:connector-curvature="0" />
+ <path
+ d="m 241.92077,149.69009 h 24.88795 V 137.5022 h -24.88795 z"
+ style="fill:#adabab;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.51204854;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ id="path4891-1-50-8-2-1-9-8-8-8-4-2"
+ inkscape:connector-curvature="0" />
+ <path
+ d="m 267.32078,149.69009 h 24.88797 V 137.5022 h -24.88797 z"
+ style="fill:#adabab;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.51204854;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ id="path4891-1-50-8-2-1-7-8-51-10-8-8"
+ inkscape:connector-curvature="0" />
+ <path
+ d="m 292.72079,149.69009 h 24.88796 V 137.5022 h -24.88796 z"
+ style="fill:#969696;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.51204854;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ id="path4891-1-50-8-2-1-9-8-2-0-67-2-7"
+ inkscape:connector-curvature="0" />
+ <path
+ d="m 292.72077,110.57409 h 24.88798 V 98.386094 h -24.88798 z"
+ style="fill:#646464;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.51204854;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ id="path4891-1-50-8-2-7-8-8-0-2-4"
+ inkscape:connector-curvature="0" />
+ <path
+ d="m 292.72079,124.2901 h 24.88796 v -12.18801 h -24.88796 z"
+ style="fill:#969696;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.51204854;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ id="path4891-1-50-8-2-1-9-4-1-8-0-6"
+ inkscape:connector-curvature="0" />
+ <path
+ d="m 292.72077,136.99009 h 24.88798 v -12.188 h -24.88798 z"
+ style="fill:#969696;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.51204854;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ id="path4891-1-50-8-2-7-5-5-0-19-24-3"
+ inkscape:connector-curvature="0" />
+ <path
+ d="m 318.1208,149.69009 h 24.88793 V 137.5022 H 318.1208 Z"
+ style="fill:#969696;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.51204854;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ id="path4891-1-50-8-2-1-9-8-2-4-7-85-5-8"
+ inkscape:connector-curvature="0" />
+ <path
+ d="m 318.1208,110.57409 h 24.88793 V 98.386094 H 318.1208 Z"
+ style="fill:#646464;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.51204854;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ id="path4891-1-50-8-2-7-8-2-5-01-8-0"
+ inkscape:connector-curvature="0" />
+ <path
+ d="m 318.1208,124.2901 h 24.88793 V 112.10209 H 318.1208 Z"
+ style="fill:#969696;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.51204854;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ id="path4891-1-50-8-2-1-9-4-2-6-59-4-4"
+ inkscape:connector-curvature="0" />
+ <path
+ d="m 318.1208,136.99009 h 24.88793 v -12.188 H 318.1208 Z"
+ style="fill:#969696;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.51204854;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ id="path4891-1-50-8-2-7-5-5-1-4-7-0-9"
+ inkscape:connector-curvature="0" />
+ <path
+ d="m 215.50479,162.3901 h 24.88794 v -12.18801 h -24.88794 z"
+ style="fill:#150458;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.51204854;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ id="path4891-1-50-8-2-1-74-5-8-8-7"
+ inkscape:connector-curvature="0" />
+ <path
+ d="m 241.92077,162.3901 h 24.88795 v -12.18801 h -24.88795 z"
+ style="fill:#adabab;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.51204854;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ id="path4891-1-50-8-2-1-9-1-8-5-2-9"
+ inkscape:connector-curvature="0" />
+ <path
+ d="m 215.50477,175.0901 h 24.88795 v -12.18801 h -24.88795 z"
+ style="fill:#150458;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.51204854;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ id="path4891-1-50-8-2-2-1-6-0-5-7"
+ inkscape:connector-curvature="0" />
+ <path
+ d="m 241.92077,175.0901 h 24.88795 v -12.18801 h -24.88795 z"
+ style="fill:#adabab;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.51204854;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ id="path4891-1-50-8-2-7-5-1-0-2-4-5"
+ inkscape:connector-curvature="0" />
+ <path
+ d="m 267.32078,162.3901 h 24.88797 v -12.18801 h -24.88797 z"
+ style="fill:#adabab;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.51204854;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ id="path4891-1-50-8-2-1-5-0-64-2-7-1"
+ inkscape:connector-curvature="0" />
+ <path
+ d="m 267.32078,175.0901 h 24.88797 v -12.18801 h -24.88797 z"
+ style="fill:#adabab;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.51204854;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ id="path4891-1-50-8-2-2-3-4-37-8-5-3"
+ inkscape:connector-curvature="0" />
+ <path
+ d="m 292.72079,162.3901 h 24.88796 v -12.18801 h -24.88796 z"
+ style="fill:#969696;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.51204854;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ id="path4891-1-50-8-2-1-9-4-1-8-5-5-7"
+ inkscape:connector-curvature="0" />
+ <path
+ d="m 292.72077,175.0901 h 24.88798 v -12.18801 h -24.88798 z"
+ style="fill:#969696;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.51204854;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ id="path4891-1-50-8-2-7-5-5-0-19-2-2-8"
+ inkscape:connector-curvature="0" />
+ <path
+ d="m 318.1208,162.3901 h 24.88793 V 150.20209 H 318.1208 Z"
+ style="fill:#969696;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.51204854;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ id="path4891-1-50-8-2-1-9-4-2-6-59-7-8-0"
+ inkscape:connector-curvature="0" />
+ <path
+ d="m 318.1208,175.0901 h 24.88793 V 162.90209 H 318.1208 Z"
+ style="fill:#969696;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.51204854;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ id="path4891-1-50-8-2-7-5-5-1-4-7-3-6-9"
+ inkscape:connector-curvature="0" />
+ <path
+ d="m 343.52077,149.69009 h 24.88791 V 137.5022 h -24.88791 z"
+ style="fill:#969696;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.51204854;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ id="path4891-1-50-8-2-1-9-8-2-4-7-85-5-8-5"
+ inkscape:connector-curvature="0" />
+ <path
+ d="m 343.52077,110.57409 h 24.88791 V 98.386094 h -24.88791 z"
+ style="fill:#646464;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.51204854;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ id="path4891-1-50-8-2-7-8-2-5-01-8-0-2"
+ inkscape:connector-curvature="0" />
+ <path
+ d="m 343.52077,124.2901 h 24.88791 v -12.18801 h -24.88791 z"
+ style="fill:#969696;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.51204854;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ id="path4891-1-50-8-2-1-9-4-2-6-59-4-4-1"
+ inkscape:connector-curvature="0" />
+ <path
+ d="m 343.52077,136.99009 h 24.88791 v -12.188 h -24.88791 z"
+ style="fill:#969696;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.51204854;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ id="path4891-1-50-8-2-7-5-5-1-4-7-0-9-3"
+ inkscape:connector-curvature="0" />
+ <path
+ d="m 343.52077,162.3901 h 24.88791 v -12.18801 h -24.88791 z"
+ style="fill:#969696;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.51204854;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ id="path4891-1-50-8-2-1-9-4-2-6-59-7-8-0-2"
+ inkscape:connector-curvature="0" />
+ <path
+ d="m 343.52077,175.0901 h 24.88791 v -12.18801 h -24.88791 z"
+ style="fill:#969696;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.51204854;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ id="path4891-1-50-8-2-7-5-5-1-4-7-3-6-9-7"
+ inkscape:connector-curvature="0" />
+ </g>
+ </g>
+ </g>
+</svg>
diff --git a/doc/source/_static/schemas/08_concat_row.svg b/doc/source/_static/schemas/08_concat_row.svg
new file mode 100644
index 0000000000000..116afc8f89890
--- /dev/null
+++ b/doc/source/_static/schemas/08_concat_row.svg
@@ -0,0 +1,392 @@
+<?xml version="1.0" encoding="UTF-8" standalone="no"?>
+<!-- Created with Inkscape (http://www.inkscape.org/) -->
+
+<svg
+ xmlns:dc="http://purl.org/dc/elements/1.1/"
+ xmlns:cc="http://creativecommons.org/ns#"
+ xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#"
+ xmlns:svg="http://www.w3.org/2000/svg"
+ xmlns="http://www.w3.org/2000/svg"
+ xmlns:sodipodi="http://sodipodi.sourceforge.net/DTD/sodipodi-0.dtd"
+ xmlns:inkscape="http://www.inkscape.org/namespaces/inkscape"
+ width="432.81134mm"
+ height="119.66626mm"
+ viewBox="0 0 432.81134 119.66626"
+ version="1.1"
+ id="svg10627"
+ inkscape:version="0.92.4 (f8dce91, 2019-08-02)"
+ sodipodi:docname="08_concat_row.svg">
+ <defs
+ id="defs10621">
+ <marker
+ inkscape:stockid="Arrow2Lend"
+ orient="auto"
+ refY="0"
+ refX="0"
+ id="Arrow2Lend-7-6-9-4-6-6-1"
+ style="overflow:visible"
+ inkscape:isstock="true">
+ <path
+ inkscape:connector-curvature="0"
+ id="path7253-1-4-3-6-0-5-1"
+ style="fill:#000000;fill-opacity:1;fill-rule:evenodd;stroke:#000000;stroke-width:0.625;stroke-linejoin:round;stroke-opacity:1"
+ d="M 8.7185878,4.0337352 -2.2072895,0.01601326 8.7185884,-4.0017078 c -1.7454984,2.3720609 -1.7354408,5.6174519 -6e-7,8.035443 z"
+ transform="matrix(-1.1,0,0,-1.1,-1.1,0)" />
+ </marker>
+ </defs>
+ <sodipodi:namedview
+ id="base"
+ pagecolor="#ffffff"
+ bordercolor="#666666"
+ borderopacity="1.0"
+ inkscape:pageopacity="0.0"
+ inkscape:pageshadow="2"
+ inkscape:zoom="0.49497475"
+ inkscape:cx="569.23237"
+ inkscape:cy="-49.001989"
+ inkscape:document-units="mm"
+ inkscape:current-layer="layer1"
+ showgrid="false"
+ fit-margin-top="0"
+ fit-margin-left="0"
+ fit-margin-right="0"
+ fit-margin-bottom="0"
+ inkscape:window-width="1875"
+ inkscape:window-height="1056"
+ inkscape:window-x="1965"
+ inkscape:window-y="0"
+ inkscape:window-maximized="1" />
+ <metadata
+ id="metadata10624">
+ <rdf:RDF>
+ <cc:Work
+ rdf:about="">
+ <dc:format>image/svg+xml</dc:format>
+ <dc:type
+ rdf:resource="http://purl.org/dc/dcmitype/StillImage" />
+ <dc:title />
+ </cc:Work>
+ </rdf:RDF>
+ </metadata>
+ <g
+ inkscape:label="Layer 1"
+ inkscape:groupmode="layer"
+ id="layer1"
+ transform="translate(-2.8750229e-8,-63.297826)">
+ <path
+ d="M 21.896609,92.839632 H 44.292807 V 81.875669 H 21.896609 Z"
+ style="fill:#afabab;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.51204854;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ id="path4891-1-50-8-2-1-74-5"
+ inkscape:connector-curvature="0" />
+ <path
+ d="M 45.66787,80.501126 H 68.064079 V 69.537164 H 45.66787 Z"
+ style="fill:#150458;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.51204854;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ id="path4891-1-50-8-2-7-17-47"
+ inkscape:connector-curvature="0" />
+ <path
+ d="M 45.66787,92.839632 H 68.064079 V 81.875669 H 45.66787 Z"
+ style="fill:#afabab;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.51204854;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ id="path4891-1-50-8-2-1-9-1-8"
+ inkscape:connector-curvature="0" />
+ <path
+ d="M 21.8966,104.26417 H 44.292807 V 93.300211 H 21.8966 Z"
+ style="fill:#afabab;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.51204854;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ id="path4891-1-50-8-2-2-1-6"
+ inkscape:connector-curvature="0" />
+ <path
+ d="M 45.66787,104.26417 H 68.064079 V 93.300211 H 45.66787 Z"
+ style="fill:#afabab;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.51204854;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ id="path4891-1-50-8-2-7-5-1-0"
+ inkscape:connector-curvature="0" />
+ <path
+ d="M 68.524862,80.501126 H 90.921078 V 69.537164 H 68.524862 Z"
+ style="fill:#150458;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.51204854;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ id="path4891-1-50-8-2-6-7-0"
+ inkscape:connector-curvature="0" />
+ <path
+ d="M 68.524862,92.839632 H 90.921078 V 81.875669 H 68.524862 Z"
+ style="fill:#afabab;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.51204854;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ id="path4891-1-50-8-2-1-5-0-64"
+ inkscape:connector-curvature="0" />
+ <path
+ d="M 68.524862,104.26417 H 90.921078 V 93.300211 H 68.524862 Z"
+ style="fill:#afabab;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.51204854;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ id="path4891-1-50-8-2-2-3-4-37"
+ inkscape:connector-curvature="0" />
+ <path
+ d="M 21.896609,115.68872 H 44.292807 V 104.72484 H 21.896609 Z"
+ style="fill:#afabab;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.51204854;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ id="path4891-1-50-8-2-1-7-0-5"
+ inkscape:connector-curvature="0" />
+ <path
+ d="M 45.66787,115.68872 H 68.064079 V 104.72484 H 45.66787 Z"
+ style="fill:#afabab;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.51204854;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ id="path4891-1-50-8-2-1-9-8-8-8"
+ inkscape:connector-curvature="0" />
+ <path
+ d="M 68.524862,115.68872 H 90.921078 V 104.72484 H 68.524862 Z"
+ style="fill:#afabab;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.51204854;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ id="path4891-1-50-8-2-1-7-8-51-10"
+ inkscape:connector-curvature="0" />
+ <path
+ d="M 91.381863,115.68872 H 113.77807 V 104.72484 H 91.381863 Z"
+ style="fill:#afabab;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.51204854;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ id="path4891-1-50-8-2-1-9-8-2-0-67"
+ inkscape:connector-curvature="0" />
+ <path
+ d="M 91.381853,80.501126 H 113.77807 V 69.537164 H 91.381853 Z"
+ style="fill:#150458;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.51204854;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ id="path4891-1-50-8-2-7-8-8-0"
+ inkscape:connector-curvature="0" />
+ <path
+ d="M 91.381863,92.839632 H 113.77807 V 81.875669 H 91.381863 Z"
+ style="fill:#afabab;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.51204854;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ id="path4891-1-50-8-2-1-9-4-1-8"
+ inkscape:connector-curvature="0" />
+ <path
+ d="M 91.381853,104.26417 H 113.77807 V 93.300211 H 91.381853 Z"
+ style="fill:#afabab;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.51204854;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ id="path4891-1-50-8-2-7-5-5-0-19"
+ inkscape:connector-curvature="0" />
+ <path
+ d="m 114.23885,115.68872 h 22.39618 v -10.96388 h -22.39618 z"
+ style="fill:#afabab;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.51204854;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ id="path4891-1-50-8-2-1-9-8-2-4-7-85"
+ inkscape:connector-curvature="0" />
+ <path
+ d="m 114.23885,80.501126 h 22.39618 V 69.537164 h -22.39618 z"
+ style="fill:#150458;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.51204854;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ id="path4891-1-50-8-2-7-8-2-5-01"
+ inkscape:connector-curvature="0" />
+ <path
+ d="m 114.23885,92.839632 h 22.39618 V 81.875669 h -22.39618 z"
+ style="fill:#afabab;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.51204854;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ id="path4891-1-50-8-2-1-9-4-2-6-59"
+ inkscape:connector-curvature="0" />
+ <path
+ d="m 114.23885,104.26417 h 22.39618 V 93.300211 h -22.39618 z"
+ style="fill:#afabab;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.51204854;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ id="path4891-1-50-8-2-7-5-5-1-4-7"
+ inkscape:connector-curvature="0" />
+ <path
+ d="M 21.896609,165.30021 H 44.292807 V 154.33623 H 21.896609 Z"
+ style="fill:#646464;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.51204854;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ id="path4891-1-50-8-2-1-74-5-8"
+ inkscape:connector-curvature="0" />
+ <path
+ d="M 45.66787,152.96169 H 68.064079 V 141.99773 H 45.66787 Z"
+ style="fill:#150458;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.51204854;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ id="path4891-1-50-8-2-7-17-47-9"
+ inkscape:connector-curvature="0" />
+ <path
+ d="M 45.66787,165.30021 H 68.064079 V 154.33623 H 45.66787 Z"
+ style="fill:#969696;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.51204854;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ id="path4891-1-50-8-2-1-9-1-8-5"
+ inkscape:connector-curvature="0" />
+ <path
+ d="M 21.8966,176.72475 H 44.292807 V 165.76079 H 21.8966 Z"
+ style="fill:#646464;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.51204854;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ id="path4891-1-50-8-2-2-1-6-0"
+ inkscape:connector-curvature="0" />
+ <path
+ d="M 45.66787,176.72475 H 68.064079 V 165.76079 H 45.66787 Z"
+ style="fill:#969696;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.51204854;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ id="path4891-1-50-8-2-7-5-1-0-2"
+ inkscape:connector-curvature="0" />
+ <path
+ d="M 68.524862,152.96169 H 90.921078 V 141.99773 H 68.524862 Z"
+ style="fill:#150458;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.51204854;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ id="path4891-1-50-8-2-6-7-0-7"
+ inkscape:connector-curvature="0" />
+ <path
+ d="M 68.524862,165.30021 H 90.921078 V 154.33623 H 68.524862 Z"
+ style="fill:#969696;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.51204854;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ id="path4891-1-50-8-2-1-5-0-64-2"
+ inkscape:connector-curvature="0" />
+ <path
+ d="M 68.524862,176.72475 H 90.921078 V 165.76079 H 68.524862 Z"
+ style="fill:#969696;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.51204854;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ id="path4891-1-50-8-2-2-3-4-37-8"
+ inkscape:connector-curvature="0" />
+ <path
+ d="M 91.381853,152.96169 H 113.77807 V 141.99773 H 91.381853 Z"
+ style="fill:#150458;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.51204854;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ id="path4891-1-50-8-2-7-8-8-0-0"
+ inkscape:connector-curvature="0" />
+ <path
+ d="M 91.381863,165.30021 H 113.77807 V 154.33623 H 91.381863 Z"
+ style="fill:#969696;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.51204854;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ id="path4891-1-50-8-2-1-9-4-1-8-5"
+ inkscape:connector-curvature="0" />
+ <path
+ d="M 91.381853,176.72475 H 113.77807 V 165.76079 H 91.381853 Z"
+ style="fill:#969696;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.51204854;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ id="path4891-1-50-8-2-7-5-5-0-19-2"
+ inkscape:connector-curvature="0" />
+ <path
+ d="m 114.23885,152.96169 h 22.39618 v -10.96396 h -22.39618 z"
+ style="fill:#150458;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.51204854;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ id="path4891-1-50-8-2-7-8-2-5-01-3"
+ inkscape:connector-curvature="0" />
+ <path
+ d="m 114.23885,165.30021 h 22.39618 v -10.96398 h -22.39618 z"
+ style="fill:#969696;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.51204854;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ id="path4891-1-50-8-2-1-9-4-2-6-59-7"
+ inkscape:connector-curvature="0" />
+ <path
+ d="m 114.23885,176.72475 h 22.39618 v -10.96396 h -22.39618 z"
+ style="fill:#969696;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.51204854;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ id="path4891-1-50-8-2-7-5-5-1-4-7-3"
+ inkscape:connector-curvature="0" />
+ <path
+ d="m 296.17632,111.9331 h 22.39619 v -10.96396 h -22.39619 z"
+ style="fill:#afabab;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.51204854;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ id="path4891-1-50-8-2-1-74-5-5"
+ inkscape:connector-curvature="0" />
+ <path
+ d="m 319.94758,99.594594 h 22.39621 V 88.630632 h -22.39621 z"
+ style="fill:#150458;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.51204854;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ id="path4891-1-50-8-2-7-17-47-3"
+ inkscape:connector-curvature="0" />
+ <path
+ d="m 319.94758,111.9331 h 22.39621 v -10.96396 h -22.39621 z"
+ style="fill:#afabab;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.51204854;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ id="path4891-1-50-8-2-1-9-1-8-1"
+ inkscape:connector-curvature="0" />
+ <path
+ d="m 296.17631,123.35764 h 22.3962 v -10.96396 h -22.3962 z"
+ style="fill:#afabab;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.51204854;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ id="path4891-1-50-8-2-2-1-6-4"
+ inkscape:connector-curvature="0" />
+ <path
+ d="m 319.94758,123.35764 h 22.39621 v -10.96396 h -22.39621 z"
+ style="fill:#afabab;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.51204854;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ id="path4891-1-50-8-2-7-5-1-0-20"
+ inkscape:connector-curvature="0" />
+ <path
+ d="m 342.80457,99.594594 h 22.39622 V 88.630632 h -22.39622 z"
+ style="fill:#150458;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.51204854;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ id="path4891-1-50-8-2-6-7-0-1"
+ inkscape:connector-curvature="0" />
+ <path
+ d="m 342.80457,111.9331 h 22.39622 v -10.96396 h -22.39622 z"
+ style="fill:#afabab;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.51204854;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ id="path4891-1-50-8-2-1-5-0-64-3"
+ inkscape:connector-curvature="0" />
+ <path
+ d="m 342.80457,123.35764 h 22.39622 v -10.96396 h -22.39622 z"
+ style="fill:#afabab;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.51204854;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ id="path4891-1-50-8-2-2-3-4-37-0"
+ inkscape:connector-curvature="0" />
+ <path
+ d="m 296.17632,134.78219 h 22.39619 v -10.96388 h -22.39619 z"
+ style="fill:#afabab;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.51204854;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ id="path4891-1-50-8-2-1-7-0-5-0"
+ inkscape:connector-curvature="0" />
+ <path
+ d="m 319.94758,134.78219 h 22.39621 v -10.96388 h -22.39621 z"
+ style="fill:#afabab;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.51204854;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ id="path4891-1-50-8-2-1-9-8-8-8-4"
+ inkscape:connector-curvature="0" />
+ <path
+ d="m 342.80457,134.78219 h 22.39622 v -10.96388 h -22.39622 z"
+ style="fill:#afabab;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.51204854;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ id="path4891-1-50-8-2-1-7-8-51-10-8"
+ inkscape:connector-curvature="0" />
+ <path
+ d="m 365.66156,134.78219 h 22.39622 v -10.96388 h -22.39622 z"
+ style="fill:#afabab;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.51204854;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ id="path4891-1-50-8-2-1-9-8-2-0-67-2"
+ inkscape:connector-curvature="0" />
+ <path
+ d="m 365.66156,99.594594 h 22.39622 V 88.630632 h -22.39622 z"
+ style="fill:#150458;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.51204854;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ id="path4891-1-50-8-2-7-8-8-0-2"
+ inkscape:connector-curvature="0" />
+ <path
+ d="m 365.66156,111.9331 h 22.39622 v -10.96396 h -22.39622 z"
+ style="fill:#afabab;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.51204854;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ id="path4891-1-50-8-2-1-9-4-1-8-0"
+ inkscape:connector-curvature="0" />
+ <path
+ d="m 365.66156,123.35764 h 22.39622 v -10.96396 h -22.39622 z"
+ style="fill:#afabab;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.51204854;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ id="path4891-1-50-8-2-7-5-5-0-19-24"
+ inkscape:connector-curvature="0" />
+ <path
+ d="m 388.51855,134.78219 h 22.39619 v -10.96388 h -22.39619 z"
+ style="fill:#afabab;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.51204854;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ id="path4891-1-50-8-2-1-9-8-2-4-7-85-5"
+ inkscape:connector-curvature="0" />
+ <path
+ d="m 388.51855,99.594594 h 22.39619 V 88.630632 h -22.39619 z"
+ style="fill:#150458;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.51204854;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ id="path4891-1-50-8-2-7-8-2-5-01-8"
+ inkscape:connector-curvature="0" />
+ <path
+ d="m 388.51855,111.9331 h 22.39619 v -10.96396 h -22.39619 z"
+ style="fill:#afabab;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.51204854;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ id="path4891-1-50-8-2-1-9-4-2-6-59-4"
+ inkscape:connector-curvature="0" />
+ <path
+ d="m 388.51855,123.35764 h 22.39619 v -10.96396 h -22.39619 z"
+ style="fill:#afabab;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.51204854;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ id="path4891-1-50-8-2-7-5-5-1-4-7-0"
+ inkscape:connector-curvature="0" />
+ <path
+ d="m 296.17632,146.20673 h 22.39619 v -10.96396 h -22.39619 z"
+ style="fill:#646464;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.51204854;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ id="path4891-1-50-8-2-1-74-5-8-8"
+ inkscape:connector-curvature="0" />
+ <path
+ d="m 319.94758,146.20673 h 22.39621 v -10.96396 h -22.39621 z"
+ style="fill:#969696;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.51204854;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ id="path4891-1-50-8-2-1-9-1-8-5-2"
+ inkscape:connector-curvature="0" />
+ <path
+ d="m 296.17631,157.63127 h 22.3962 v -10.96396 h -22.3962 z"
+ style="fill:#646464;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.51204854;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ id="path4891-1-50-8-2-2-1-6-0-5"
+ inkscape:connector-curvature="0" />
+ <path
+ d="m 319.94758,157.63127 h 22.39621 v -10.96396 h -22.39621 z"
+ style="fill:#969696;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.51204854;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ id="path4891-1-50-8-2-7-5-1-0-2-4"
+ inkscape:connector-curvature="0" />
+ <path
+ d="m 342.80457,146.20673 h 22.39622 v -10.96396 h -22.39622 z"
+ style="fill:#969696;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.51204854;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ id="path4891-1-50-8-2-1-5-0-64-2-7"
+ inkscape:connector-curvature="0" />
+ <path
+ d="m 342.80457,157.63127 h 22.39622 v -10.96396 h -22.39622 z"
+ style="fill:#969696;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.51204854;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ id="path4891-1-50-8-2-2-3-4-37-8-5"
+ inkscape:connector-curvature="0" />
+ <path
+ d="m 365.66156,146.20673 h 22.39622 v -10.96396 h -22.39622 z"
+ style="fill:#969696;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.51204854;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ id="path4891-1-50-8-2-1-9-4-1-8-5-5"
+ inkscape:connector-curvature="0" />
+ <path
+ d="m 365.66156,157.63127 h 22.39622 v -10.96396 h -22.39622 z"
+ style="fill:#969696;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.51204854;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ id="path4891-1-50-8-2-7-5-5-0-19-2-2"
+ inkscape:connector-curvature="0" />
+ <path
+ d="m 388.51855,146.20673 h 22.39619 v -10.96396 h -22.39619 z"
+ style="fill:#969696;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.51204854;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ id="path4891-1-50-8-2-1-9-4-2-6-59-7-8"
+ inkscape:connector-curvature="0" />
+ <path
+ d="m 388.51855,157.63127 h 22.39619 v -10.96396 h -22.39619 z"
+ style="fill:#969696;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.51204854;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ id="path4891-1-50-8-2-7-5-5-1-4-7-3-6"
+ inkscape:connector-curvature="0" />
+ <path
+ style="fill:none;stroke:#000000;stroke-width:0.40000001;stroke-linecap:butt;stroke-linejoin:miter;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1;marker-end:url(#Arrow2Lend-7-6-9-4-6-6-1)"
+ d="m 194.55732,123.13725 h 43.09496"
+ id="path6109-2-9-6-9-7"
+ inkscape:connector-curvature="0" />
+ </g>
+</svg>
diff --git a/doc/source/_static/schemas/08_merge_left.svg b/doc/source/_static/schemas/08_merge_left.svg
new file mode 100644
index 0000000000000..d06fcf2319a09
--- /dev/null
+++ b/doc/source/_static/schemas/08_merge_left.svg
@@ -0,0 +1,608 @@
+<?xml version="1.0" encoding="UTF-8" standalone="no"?>
+<!-- Created with Inkscape (http://www.inkscape.org/) -->
+
+<svg
+ xmlns:dc="http://purl.org/dc/elements/1.1/"
+ xmlns:cc="http://creativecommons.org/ns#"
+ xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#"
+ xmlns:svg="http://www.w3.org/2000/svg"
+ xmlns="http://www.w3.org/2000/svg"
+ xmlns:sodipodi="http://sodipodi.sourceforge.net/DTD/sodipodi-0.dtd"
+ xmlns:inkscape="http://www.inkscape.org/namespaces/inkscape"
+ width="647.59534mm"
+ height="86.101425mm"
+ viewBox="0 0 647.59534 86.101425"
+ version="1.1"
+ id="svg12741"
+ inkscape:version="0.92.4 (f8dce91, 2019-08-02)"
+ sodipodi:docname="08_merge_left.svg">
+ <defs
+ id="defs12735">
+ <marker
+ inkscape:stockid="Arrow2Lend"
+ orient="auto"
+ refY="0"
+ refX="0"
+ id="Arrow2Lend-7-6-9-4-6-6-1-0-4-1"
+ style="overflow:visible"
+ inkscape:isstock="true">
+ <path
+ inkscape:connector-curvature="0"
+ id="path7253-1-4-3-6-0-5-1-1-3-0"
+ style="fill:#000000;fill-opacity:1;fill-rule:evenodd;stroke:#000000;stroke-width:0.625;stroke-linejoin:round;stroke-opacity:1"
+ d="M 8.7185878,4.0337352 -2.2072895,0.01601326 8.7185884,-4.0017078 c -1.7454984,2.3720609 -1.7354408,5.6174519 -6e-7,8.035443 z"
+ transform="matrix(-1.1,0,0,-1.1,-1.1,0)" />
+ </marker>
+ <marker
+ inkscape:stockid="Arrow2Lend"
+ orient="auto"
+ refY="0"
+ refX="0"
+ id="Arrow2Lend-7-6-9-4-6-6-1-0-4"
+ style="overflow:visible"
+ inkscape:isstock="true">
+ <path
+ inkscape:connector-curvature="0"
+ id="path7253-1-4-3-6-0-5-1-1-3"
+ style="fill:#000000;fill-opacity:1;fill-rule:evenodd;stroke:#000000;stroke-width:0.625;stroke-linejoin:round;stroke-opacity:1"
+ d="M 8.7185878,4.0337352 -2.2072895,0.01601326 8.7185884,-4.0017078 c -1.7454984,2.3720609 -1.7354408,5.6174519 -6e-7,8.035443 z"
+ transform="matrix(-1.1,0,0,-1.1,-1.1,0)" />
+ </marker>
+ </defs>
+ <sodipodi:namedview
+ id="base"
+ pagecolor="#ffffff"
+ bordercolor="#666666"
+ borderopacity="1.0"
+ inkscape:pageopacity="0.0"
+ inkscape:pageshadow="2"
+ inkscape:zoom="0.3946822"
+ inkscape:cx="1172.6503"
+ inkscape:cy="52.059868"
+ inkscape:document-units="mm"
+ inkscape:current-layer="layer1"
+ showgrid="false"
+ fit-margin-top="0"
+ fit-margin-left="0"
+ fit-margin-right="0"
+ fit-margin-bottom="0"
+ inkscape:window-width="1551"
+ inkscape:window-height="849"
+ inkscape:window-x="49"
+ inkscape:window-y="27"
+ inkscape:window-maximized="1"
+ showguides="true"
+ inkscape:guide-bbox="true" />
+ <metadata
+ id="metadata12738">
+ <rdf:RDF>
+ <cc:Work
+ rdf:about="">
+ <dc:format>image/svg+xml</dc:format>
+ <dc:type
+ rdf:resource="http://purl.org/dc/dcmitype/StillImage" />
+ <dc:title></dc:title>
+ </cc:Work>
+ </rdf:RDF>
+ </metadata>
+ <g
+ inkscape:label="Layer 1"
+ inkscape:groupmode="layer"
+ id="layer1"
+ transform="translate(213.15146,-94.034376)">
+ <g
+ id="g3627"
+ transform="matrix(0.89992087,0,0,0.89940174,11.073374,13.790523)"
+ style="stroke-width:1.11152947">
+ <path
+ inkscape:connector-curvature="0"
+ id="path6109-2-9-6-9-7-6-0"
+ d="M -5.9124488,126.29946 H 41.977141"
+ style="fill:none;stroke:#000000;stroke-width:0.44461179;stroke-linecap:butt;stroke-linejoin:miter;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1;marker-end:url(#Arrow2Lend-7-6-9-4-6-6-1-0-4)" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path6109-2-9-6-9-7-6-0-8"
+ d="m 241.87403,126.29946 h 47.88959"
+ style="fill:none;stroke:#000000;stroke-width:0.44461179;stroke-linecap:butt;stroke-linejoin:miter;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1;marker-end:url(#Arrow2Lend-7-6-9-4-6-6-1-0-4-1)" />
+ <g
+ transform="translate(12.798637,-6.3500197)"
+ id="g2802"
+ style="stroke-width:1.11152947">
+ <path
+ d="m -173.87807,112.82842 h 24.88797 v -12.188 h -24.88797 z"
+ style="fill:#646464;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56915706;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ id="path4891-1-50-8-2-6-7-6-4-51"
+ inkscape:connector-curvature="0" />
+ <path
+ d="m -173.87807,126.54442 h 24.88797 v -12.188 h -24.88797 z"
+ style="fill:#8b6ff9;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56915706;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ id="path4891-1-50-8-2-1-5-0-6-9-6"
+ inkscape:connector-curvature="0" />
+ <path
+ d="m -173.87807,139.24442 h 24.88797 v -12.188 h -24.88797 z"
+ style="fill:#150458;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56915706;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ id="path4891-1-50-8-2-2-3-4-39-9-0"
+ inkscape:connector-curvature="0" />
+ <path
+ d="m -173.87807,151.94442 h 24.88797 v -12.188 h -24.88797 z"
+ style="fill:#2808ac;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56915706;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ id="path4891-1-50-8-2-1-7-8-51-1-4-91"
+ inkscape:connector-curvature="0" />
+ <path
+ d="m -225.69406,126.54432 h 24.88795 v -12.1879 h -24.88795 z"
+ style="fill:#afabab;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56915706;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ id="path4891-1-50-8-2-1-74-57-1"
+ inkscape:connector-curvature="0" />
+ <path
+ d="m -199.27807,112.82832 h 24.88796 v -12.1879 h -24.88796 z"
+ style="fill:#646464;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56915706;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ id="path4891-1-50-8-2-7-17-6-6"
+ inkscape:connector-curvature="0" />
+ <path
+ d="m -199.27807,126.54432 h 24.88796 v -12.1879 h -24.88796 z"
+ style="fill:#afabab;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56915706;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ id="path4891-1-50-8-2-1-9-1-69-0"
+ inkscape:connector-curvature="0" />
+ <path
+ d="m -225.69407,139.24432 h 24.88796 v -12.1879 h -24.88796 z"
+ style="fill:#afabab;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56915706;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ id="path4891-1-50-8-2-2-1-14-9"
+ inkscape:connector-curvature="0" />
+ <path
+ d="m -199.27807,139.24432 h 24.88796 v -12.1879 h -24.88796 z"
+ style="fill:#afabab;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56915706;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ id="path4891-1-50-8-2-7-5-1-3-1"
+ inkscape:connector-curvature="0" />
+ <path
+ d="m -225.69406,151.94432 h 24.88795 v -12.1879 h -24.88795 z"
+ style="fill:#afabab;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56915706;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ id="path4891-1-50-8-2-1-7-0-0-0"
+ inkscape:connector-curvature="0" />
+ <path
+ d="m -199.27807,151.94432 h 24.88796 v -12.1879 h -24.88796 z"
+ style="fill:#afabab;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56915706;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ id="path4891-1-50-8-2-1-9-8-8-9-9"
+ inkscape:connector-curvature="0" />
+ <text
+ transform="scale(1.0854314,0.92129267)"
+ id="text56748-3"
+ y="117.81081"
+ x="-156.77634"
+ style="font-style:normal;font-weight:normal;font-size:14.32942963px;line-height:1.25;font-family:sans-serif;letter-spacing:0px;word-spacing:0px;fill:#ffffff;fill-opacity:1;stroke:none;stroke-width:0.56161964"
+ xml:space="preserve"><tspan
+ style="font-style:normal;font-variant:normal;font-weight:normal;font-stretch:normal;font-size:8.81944466px;font-family:'Courier 10 Pitch';-inkscape-font-specification:'Courier 10 Pitch';fill:#ffffff;stroke-width:0.56161964"
+ y="117.81081"
+ x="-156.77634"
+ id="tspan56746-6"
+ sodipodi:role="line">key</tspan></text>
+ </g>
+ <g
+ id="g2825"
+ style="stroke-width:1.11152947">
+ <path
+ d="m -124.26805,120.19444 h 24.887959 v -12.1879 h -24.887959 z"
+ style="fill:#afabab;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56915706;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ id="path4891-1-50-8-2-1-74-57-4"
+ inkscape:connector-curvature="0" />
+ <path
+ d="m -97.852061,106.47844 h 24.88797 V 94.290537 h -24.88797 z"
+ style="fill:#646464;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56915706;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ id="path4891-1-50-8-2-7-17-6-61"
+ inkscape:connector-curvature="0" />
+ <path
+ d="m -97.852061,120.19444 h 24.88797 v -12.1879 h -24.88797 z"
+ style="fill:#150458;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56915706;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ id="path4891-1-50-8-2-1-9-1-69-5"
+ inkscape:connector-curvature="0" />
+ <path
+ d="m -124.26806,132.89444 h 24.887969 v -12.1879 h -24.887969 z"
+ style="fill:#afabab;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56915706;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ id="path4891-1-50-8-2-2-1-14-5"
+ inkscape:connector-curvature="0" />
+ <path
+ d="m -97.852061,132.89444 h 24.88797 v -12.1879 h -24.88797 z"
+ style="fill:#150458;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56915706;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ id="path4891-1-50-8-2-7-5-1-3-4"
+ inkscape:connector-curvature="0" />
+ <path
+ d="m -72.452051,106.47844 h 24.88796 V 94.290537 h -24.88796 z"
+ style="fill:#646464;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56915706;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ id="path4891-1-50-8-2-6-7-67-6"
+ inkscape:connector-curvature="0" />
+ <path
+ d="m -72.452051,120.19444 h 24.88796 v -12.1879 h -24.88796 z"
+ style="fill:#e70488;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56915706;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ id="path4891-1-50-8-2-1-5-0-69-6"
+ inkscape:connector-curvature="0" />
+ <path
+ d="m -72.452051,132.89444 h 24.88796 v -12.1879 h -24.88796 z"
+ style="fill:#e70488;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56915706;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ id="path4891-1-50-8-2-2-3-4-76-9"
+ inkscape:connector-curvature="0" />
+ <path
+ d="m -124.26805,145.59444 h 24.887959 v -12.1879 h -24.887959 z"
+ style="fill:#afabab;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56915706;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ id="path4891-1-50-8-2-1-7-0-0-6"
+ inkscape:connector-curvature="0" />
+ <path
+ d="m -97.852061,145.59444 h 24.88797 v -12.1879 h -24.88797 z"
+ style="fill:#8b6ff9;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56915706;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ id="path4891-1-50-8-2-1-9-8-8-9-7"
+ inkscape:connector-curvature="0" />
+ <path
+ d="m -72.452051,145.59444 h 24.88796 v -12.1879 h -24.88796 z"
+ style="fill:#fc6cc0;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56915706;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ id="path4891-1-50-8-2-1-7-8-51-07-5"
+ inkscape:connector-curvature="0" />
+ <path
+ d="m -47.052031,145.59444 h 24.88793 v -12.1879 h -24.88793 z"
+ style="fill:#fc6cc0;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56915706;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ id="path4891-1-50-8-2-1-9-8-2-0-65-5"
+ inkscape:connector-curvature="0" />
+ <path
+ d="m -47.052051,106.47844 h 24.88795 V 94.290537 h -24.88795 z"
+ style="fill:#646464;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56915706;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ id="path4891-1-50-8-2-7-8-8-37-3"
+ inkscape:connector-curvature="0" />
+ <path
+ d="m -47.052031,120.19444 h 24.88793 v -12.1879 h -24.88793 z"
+ style="fill:#e70488;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56915706;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ id="path4891-1-50-8-2-1-9-4-1-69-8"
+ inkscape:connector-curvature="0" />
+ <path
+ d="m -47.052051,132.89444 h 24.88795 v -12.1879 h -24.88795 z"
+ style="fill:#e70488;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56915706;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ id="path4891-1-50-8-2-7-5-5-0-7-5"
+ inkscape:connector-curvature="0" />
+ <path
+ d="m -124.26803,158.2943 h 24.88795 v -12.1879 h -24.88795 z"
+ style="fill:#afabab;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56915706;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ id="path4891-1-50-8-2-1-7-0-0-6-24"
+ inkscape:connector-curvature="0" />
+ <path
+ d="m -97.85204,158.2943 h 24.88796 v -12.1879 h -24.88796 z"
+ style="fill:#2808ac;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56915706;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ id="path4891-1-50-8-2-1-9-8-8-9-7-02"
+ inkscape:connector-curvature="0" />
+ <path
+ d="m -72.45204,158.2943 h 24.88796 v -12.1879 h -24.88796 z"
+ style="fill:#afabab;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56915706;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ id="path4891-1-50-8-2-1-7-8-51-07-5-7"
+ inkscape:connector-curvature="0" />
+ <path
+ d="m -47.05202,158.2943 h 24.88794 v -12.1879 h -24.88794 z"
+ style="fill:#afabab;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56915706;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ id="path4891-1-50-8-2-1-9-8-2-0-65-5-2"
+ inkscape:connector-curvature="0" />
+ <text
+ transform="scale(1.0854314,0.92129267)"
+ id="text56748-3-5"
+ y="110.9184"
+ x="-86.734131"
+ style="font-style:normal;font-weight:normal;font-size:14.32942963px;line-height:1.25;font-family:sans-serif;letter-spacing:0px;word-spacing:0px;fill:#ffffff;fill-opacity:1;stroke:none;stroke-width:0.56161964"
+ xml:space="preserve"><tspan
+ style="font-style:normal;font-variant:normal;font-weight:normal;font-stretch:normal;font-size:8.81944466px;font-family:'Courier 10 Pitch';-inkscape-font-specification:'Courier 10 Pitch';fill:#ffffff;stroke-width:0.56161964"
+ y="110.9184"
+ x="-86.734131"
+ id="tspan56746-6-3"
+ sodipodi:role="line">key</tspan></text>
+ </g>
+ <g
+ transform="translate(-45.506234)"
+ id="g3141"
+ style="stroke-width:1.11152947">
+ <path
+ d="m 352.19017,120.1944 h 24.88794 v -12.188 h -24.88794 z"
+ style="fill:#afabab;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56915706;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ id="path4891-1-50-8-2-1-74-5-5-9-1"
+ inkscape:connector-curvature="0" />
+ <path
+ d="m 378.60616,106.4784 h 24.88795 v -12.188 h -24.88795 z"
+ style="fill:#646464;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56915706;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ id="path4891-1-50-8-2-7-17-47-3-7-4"
+ inkscape:connector-curvature="0" />
+ <path
+ d="m 378.60616,120.1944 h 24.88795 v -12.188 h -24.88795 z"
+ style="fill:#adabab;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56915706;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ id="path4891-1-50-8-2-1-9-1-8-1-7-4"
+ inkscape:connector-curvature="0" />
+ <path
+ d="m 352.19016,132.8944 h 24.88795 v -12.188 h -24.88795 z"
+ style="fill:#afabab;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56915706;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ id="path4891-1-50-8-2-2-1-6-4-6-3"
+ inkscape:connector-curvature="0" />
+ <path
+ d="m 378.60616,132.8944 h 24.88795 v -12.188 h -24.88795 z"
+ style="fill:#adabab;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56915706;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ id="path4891-1-50-8-2-7-5-1-0-20-8-2"
+ inkscape:connector-curvature="0" />
+ <path
+ d="m 404.00616,106.4784 h 24.88796 v -12.188 h -24.88796 z"
+ style="fill:#646464;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56915706;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ id="path4891-1-50-8-2-6-7-0-1-1-5"
+ inkscape:connector-curvature="0" />
+ <path
+ d="m 404.00616,120.1944 h 24.88796 v -12.188 h -24.88796 z"
+ style="fill:#8b6ff9;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56915706;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ id="path4891-1-50-8-2-1-5-0-64-3-2-1"
+ inkscape:connector-curvature="0" />
+ <path
+ d="m 404.00616,132.8944 h 24.88796 v -12.188 h -24.88796 z"
+ style="fill:#150458;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56915706;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ id="path4891-1-50-8-2-2-3-4-37-0-0-3"
+ inkscape:connector-curvature="0" />
+ <path
+ d="m 352.19017,145.5944 h 24.88794 v -12.1879 h -24.88794 z"
+ style="fill:#afabab;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56915706;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ id="path4891-1-50-8-2-1-7-0-5-0-3-2"
+ inkscape:connector-curvature="0" />
+ <path
+ d="m 378.60616,145.5944 h 24.88795 v -12.1879 h -24.88795 z"
+ style="fill:#adabab;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56915706;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ id="path4891-1-50-8-2-1-9-8-8-8-4-2-6"
+ inkscape:connector-curvature="0" />
+ <path
+ d="m 404.00616,145.5944 h 24.88796 v -12.1879 h -24.88796 z"
+ style="fill:#150458;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56915706;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ id="path4891-1-50-8-2-1-7-8-51-10-8-8-0"
+ inkscape:connector-curvature="0" />
+ <path
+ d="m 429.40617,145.5944 h 24.88795 v -12.1879 h -24.88795 z"
+ style="fill:#e70488;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56915706;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ id="path4891-1-50-8-2-1-9-8-2-0-67-2-7-6"
+ inkscape:connector-curvature="0" />
+ <path
+ d="m 429.40616,106.4784 h 24.88796 v -12.188 h -24.88796 z"
+ style="fill:#646464;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56915706;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ id="path4891-1-50-8-2-7-8-8-0-2-4-9"
+ inkscape:connector-curvature="0" />
+ <path
+ d="m 429.40617,120.1944 h 24.88795 v -12.188 h -24.88795 z"
+ style="fill:#fc6cc0;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56915706;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ id="path4891-1-50-8-2-1-9-4-1-8-0-6-6"
+ inkscape:connector-curvature="0" />
+ <path
+ d="m 429.40616,132.8944 h 24.88796 v -12.188 h -24.88796 z"
+ style="fill:#e70488;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56915706;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ id="path4891-1-50-8-2-7-5-5-0-19-24-3-8"
+ inkscape:connector-curvature="0" />
+ <path
+ d="m 454.80617,145.5944 h 24.88792 v -12.1879 h -24.88792 z"
+ style="fill:#e70488;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56915706;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ id="path4891-1-50-8-2-1-9-8-2-4-7-85-5-8-0"
+ inkscape:connector-curvature="0" />
+ <path
+ d="m 454.80617,106.4784 h 24.88792 v -12.188 h -24.88792 z"
+ style="fill:#646464;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56915706;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ id="path4891-1-50-8-2-7-8-2-5-01-8-0-8"
+ inkscape:connector-curvature="0" />
+ <path
+ d="m 454.80617,120.1944 h 24.88792 v -12.188 h -24.88792 z"
+ style="fill:#fc6cc0;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56915706;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ id="path4891-1-50-8-2-1-9-4-2-6-59-4-4-6"
+ inkscape:connector-curvature="0" />
+ <path
+ d="m 454.80617,132.8944 h 24.88792 v -12.188 h -24.88792 z"
+ style="fill:#e70488;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56915706;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ id="path4891-1-50-8-2-7-5-5-1-4-7-0-9-7"
+ inkscape:connector-curvature="0" />
+ <path
+ d="m 352.19017,158.2944 h 24.88794 v -12.188 h -24.88794 z"
+ style="fill:#afabab;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56915706;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ id="path4891-1-50-8-2-1-74-5-8-8-7-5"
+ inkscape:connector-curvature="0" />
+ <path
+ d="m 378.60616,158.2944 h 24.88795 v -12.188 h -24.88795 z"
+ style="fill:#adabab;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56915706;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ id="path4891-1-50-8-2-1-9-1-8-5-2-9-4"
+ inkscape:connector-curvature="0" />
+ <path
+ d="m 404.00616,158.2944 h 24.88796 v -12.188 h -24.88796 z"
+ style="fill:#2808ac;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56915706;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ id="path4891-1-50-8-2-1-5-0-64-2-7-1-0"
+ inkscape:connector-curvature="0" />
+ <path
+ d="m 429.40617,158.2944 h 24.88795 v -12.188 h -24.88795 z"
+ style="fill:#000000;fill-opacity:0;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56915706;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ id="path4891-1-50-8-2-1-9-4-1-8-5-5-7-5"
+ inkscape:connector-curvature="0" />
+ <path
+ d="m 454.80617,158.2944 h 24.88792 v -12.188 h -24.88792 z"
+ style="fill:#000000;fill-opacity:0;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56915706;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ id="path4891-1-50-8-2-1-9-4-2-6-59-7-8-0-9"
+ inkscape:connector-curvature="0" />
+ <text
+ transform="scale(1.0854314,0.92129267)"
+ id="text56748-3-5-1"
+ y="110.9183"
+ x="375.62418"
+ style="font-style:normal;font-weight:normal;font-size:14.32942963px;line-height:1.25;font-family:sans-serif;letter-spacing:0px;word-spacing:0px;fill:#ffffff;fill-opacity:1;stroke:none;stroke-width:0.56161964"
+ xml:space="preserve"><tspan
+ style="font-style:normal;font-variant:normal;font-weight:normal;font-stretch:normal;font-size:8.81944466px;font-family:'Courier 10 Pitch';-inkscape-font-specification:'Courier 10 Pitch';fill:#ffffff;stroke-width:0.56161964"
+ y="110.9183"
+ x="375.62418"
+ id="tspan56746-6-3-2"
+ sodipodi:role="line">key</tspan></text>
+ </g>
+ <g
+ transform="translate(2.7116079)"
+ id="g3229"
+ style="stroke-width:1.11152947">
+ <path
+ d="m 108.00186,106.47854 h 24.88797 V 94.290537 h -24.88797 z"
+ style="fill:#646464;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56915706;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ id="path4891-1-50-8-2-6-7-6-4-51-9"
+ inkscape:connector-curvature="0" />
+ <path
+ d="M 82.601856,106.47844 H 107.48982 V 94.290537 H 82.601856 Z"
+ style="fill:#afabab;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56915706;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ id="path4891-1-50-8-2-7-17-6-6-2"
+ inkscape:connector-curvature="0" />
+ <text
+ transform="scale(1.0854314,0.92129267)"
+ id="text56748-3-5-5"
+ y="110.91845"
+ x="102.91758"
+ style="font-style:normal;font-weight:normal;font-size:14.32942963px;line-height:1.25;font-family:sans-serif;letter-spacing:0px;word-spacing:0px;fill:#ffffff;fill-opacity:1;stroke:none;stroke-width:0.56161964"
+ xml:space="preserve"><tspan
+ style="font-style:normal;font-variant:normal;font-weight:normal;font-stretch:normal;font-size:8.81944466px;font-family:'Courier 10 Pitch';-inkscape-font-specification:'Courier 10 Pitch';fill:#ffffff;stroke-width:0.56161964"
+ y="110.91845"
+ x="102.91758"
+ id="tspan56746-6-3-6"
+ sodipodi:role="line">key</tspan></text>
+ <g
+ id="g3193"
+ transform="translate(-8.5324243)"
+ style="stroke-width:1.11152947">
+ <g
+ transform="translate(-27.019344,-1.530803)"
+ id="g2722"
+ style="stroke-width:1.11152947">
+ <path
+ d="m 182.77459,132.3093 h 24.88797 v -12.1879 h -24.88797 z"
+ style="fill:#8b6ff9;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56915706;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ id="path4891-1-50-8-2-1-9-8-8-9-7-3"
+ inkscape:connector-curvature="0" />
+ <path
+ d="m 208.1746,132.3093 h 24.88796 V 120.1214 H 208.1746 Z"
+ style="fill:#fc6cc0;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56915706;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ id="path4891-1-50-8-2-1-7-8-51-07-5-0"
+ inkscape:connector-curvature="0" />
+ <path
+ d="m 233.57462,132.3093 h 24.88793 v -12.1879 h -24.88793 z"
+ style="fill:#fc6cc0;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56915706;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ id="path4891-1-50-8-2-1-9-8-2-0-65-5-8"
+ inkscape:connector-curvature="0" />
+ </g>
+ <g
+ transform="translate(-27.019344,-0.0159648)"
+ id="g2730"
+ style="stroke-width:1.11152947">
+ <path
+ d="m 182.77459,148.9951 h 24.88797 v -12.1879 h -24.88797 z"
+ style="fill:#150458;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56915706;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ id="path4891-1-50-8-2-1-9-1-69-5-6"
+ inkscape:connector-curvature="0" />
+ <path
+ d="m 182.77459,161.6951 h 24.88797 v -12.1879 h -24.88797 z"
+ style="fill:#150458;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56915706;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ id="path4891-1-50-8-2-7-5-1-3-4-3"
+ inkscape:connector-curvature="0" />
+ <path
+ d="m 208.1746,148.9951 h 24.88796 V 136.8072 H 208.1746 Z"
+ style="fill:#e70488;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56915706;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ id="path4891-1-50-8-2-1-5-0-69-6-1"
+ inkscape:connector-curvature="0" />
+ <path
+ d="m 208.1746,161.6951 h 24.88796 V 149.5072 H 208.1746 Z"
+ style="fill:#e70488;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56915706;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ id="path4891-1-50-8-2-2-3-4-76-9-7"
+ inkscape:connector-curvature="0" />
+ <path
+ d="m 233.57462,148.9951 h 24.88793 v -12.1879 h -24.88793 z"
+ style="fill:#e70488;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56915706;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ id="path4891-1-50-8-2-1-9-4-1-69-8-9"
+ inkscape:connector-curvature="0" />
+ <path
+ d="m 233.5746,161.6951 h 24.88795 V 149.5072 H 233.5746 Z"
+ style="fill:#e70488;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56915706;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ id="path4891-1-50-8-2-7-5-5-0-7-5-0"
+ inkscape:connector-curvature="0" />
+ </g>
+ <g
+ transform="translate(-27.019344,3.400837)"
+ id="g2752"
+ style="stroke-width:1.11152947">
+ <path
+ d="m 182.77459,103.0776 h 24.88797 V 90.8897 h -24.88797 z"
+ style="fill:#646464;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56915706;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ id="path4891-1-50-8-2-7-17-6-61-5"
+ inkscape:connector-curvature="0" />
+ <path
+ d="m 208.1746,103.0776 h 24.88796 V 90.8897 H 208.1746 Z"
+ style="fill:#646464;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56915706;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ id="path4891-1-50-8-2-6-7-67-6-4"
+ inkscape:connector-curvature="0" />
+ <path
+ d="m 233.5746,103.0776 h 24.88795 V 90.8897 H 233.5746 Z"
+ style="fill:#646464;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56915706;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ id="path4891-1-50-8-2-7-8-8-37-3-2"
+ inkscape:connector-curvature="0" />
+ <text
+ transform="scale(1.0854314,0.92129267)"
+ id="text56748-3-5-2"
+ y="107.22701"
+ x="171.80515"
+ style="font-style:normal;font-weight:normal;font-size:14.32942963px;line-height:1.25;font-family:sans-serif;letter-spacing:0px;word-spacing:0px;fill:#ffffff;fill-opacity:1;stroke:none;stroke-width:0.56161964"
+ xml:space="preserve"><tspan
+ style="font-style:normal;font-variant:normal;font-weight:normal;font-stretch:normal;font-size:8.81944466px;font-family:'Courier 10 Pitch';-inkscape-font-specification:'Courier 10 Pitch';fill:#ffffff;stroke-width:0.56161964"
+ y="107.22701"
+ x="171.80515"
+ id="tspan56746-6-3-9"
+ sodipodi:role="line">key</tspan></text>
+ </g>
+ </g>
+ <g
+ id="g2745"
+ transform="translate(-27.019344,3.400837)"
+ style="stroke-width:1.11152947">
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-1-5-0-6-9-6-7"
+ style="fill:#8b6ff9;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56915706;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m 135.0212,127.37776 h 24.88797 v -12.188 H 135.0212 Z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-1-74-57-1-3"
+ style="fill:#afabab;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56915706;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m 83.205209,127.37766 h 24.887951 v -12.1879 H 83.205209 Z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-1-9-1-69-0-6"
+ style="fill:#afabab;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56915706;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m 109.6212,127.37766 h 24.88796 v -12.1879 H 109.6212 Z" />
+ </g>
+ <g
+ id="g2740"
+ transform="translate(-27.019339,2.9268152)"
+ style="stroke-width:1.11152947">
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-2-3-4-39-9-0-0"
+ style="fill:#150458;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56915706;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m 135.0212,152.40237 h 24.88797 v -12.188 H 135.0212 Z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-2-1-14-9-0"
+ style="fill:#afabab;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56915706;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m 83.205199,152.40227 h 24.887961 v -12.1879 H 83.205199 Z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-7-5-1-3-1-6"
+ style="fill:#afabab;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56915706;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m 109.6212,152.40227 h 24.88796 v -12.1879 H 109.6212 Z" />
+ </g>
+ <g
+ id="g2735"
+ transform="translate(-27.019344,-0.865376)"
+ style="stroke-width:1.11152947">
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-1-7-8-51-1-4-91-9"
+ style="fill:#2808ac;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56915706;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m 135.0212,180.74515 h 24.88797 v -12.188 H 135.0212 Z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-1-7-0-0-0-2"
+ style="fill:#afabab;fill-opacity:1;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56915706;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m 83.205209,180.74505 h 24.887951 v -12.1879 H 83.205209 Z" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path4891-1-50-8-2-1-9-8-8-9-9-6"
+ style="fill:#afabab;fill-opacity:0.39215686;fill-rule:evenodd;stroke:#ffffff;stroke-width:0.56915706;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ d="m 109.6212,180.74505 h 24.88796 v -12.1879 H 109.6212 Z" />
+ </g>
+ </g>
+ </g>
+ </g>
+</svg>
diff --git a/doc/source/conf.py b/doc/source/conf.py
index 28df08a8607b9..4a8996d41d359 100644
--- a/doc/source/conf.py
+++ b/doc/source/conf.py
@@ -231,6 +231,7 @@
html_static_path = ["_static"]
html_css_files = [
+ "css/getting_started.css",
"css/pandas.css",
]
diff --git a/doc/source/getting_started/dsintro.rst b/doc/source/getting_started/dsintro.rst
index 5d7c9e405cfc2..200d567a62732 100644
--- a/doc/source/getting_started/dsintro.rst
+++ b/doc/source/getting_started/dsintro.rst
@@ -444,6 +444,7 @@ dtype. For example:
data
pd.DataFrame.from_records(data, index='C')
+.. _basics.dataframe.sel_add_del:
Column selection, addition, deletion
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
diff --git a/doc/source/getting_started/index.rst b/doc/source/getting_started/index.rst
index 34bb4f930f175..a2f8f79f22ae4 100644
--- a/doc/source/getting_started/index.rst
+++ b/doc/source/getting_started/index.rst
@@ -6,15 +6,666 @@
Getting started
===============
+Installation
+------------
+
+Before you can use pandas, you’ll need to get it installed.
+
+.. raw:: html
+
+ <div class="container">
+ <div class="row">
+ <div class="col-lg-6 col-md-6 col-sm-12 col-xs-12 d-flex install-block">
+ <div class="card install-card shadow w-100">
+ <div class="card-header">
+ Working with conda?
+ </div>
+ <div class="card-body">
+ <p class="card-text">
+
+Pandas is part of the `Anaconda <http://docs.continuum.io/anaconda/>`__ distribution and can be
+installed with Anaconda or Miniconda:
+
+.. raw:: html
+
+ </p>
+ </div>
+ <div class="card-footer text-muted">
+
+.. code-block:: bash
+
+ conda install pandas
+
+.. raw:: html
+
+ </div>
+ </div>
+ </div>
+ <div class="col-lg-6 col-md-6 col-sm-12 col-xs-12 d-flex install-block">
+ <div class="card install-card shadow w-100">
+ <div class="card-header">
+ Prefer pip?
+ </div>
+ <div class="card-body">
+ <p class="card-text">
+
+Pandas can be installed via pip from `PyPI <https://pypi.org/project/pandas>`__.
+
+.. raw:: html
+
+ </p>
+ </div>
+ <div class="card-footer text-muted">
+
+.. code-block:: bash
+
+ pip install pandas
+
+.. raw:: html
+
+ </div>
+ </div>
+ </div>
+ <div class="col-12 d-flex install-block">
+ <div class="card install-card shadow w-100">
+ <div class="card-header">
+ In-depth instructions?
+ </div>
+ <div class="card-body">
+ <p class="card-text">Installing a specific version?
+ Installing from source?
+ Check the advanced installation page.</p>
+
+.. container:: custom-button
+
+ :ref:`Learn more <install>`
+
+.. raw:: html
+
+ </div>
+ </div>
+ </div>
+ </div>
+ </div>
+
+.. _gentle_intro:
+
+Intro to pandas
+---------------
+
+.. raw:: html
+
+ <div class="container">
+ <div id="accordion" class="shadow tutorial-accordion">
+
+ <div class="card tutorial-card">
+ <div class="card-header collapsed card-link" data-toggle="collapse" data-target="#collapseOne">
+ <div class="d-flex flex-row tutorial-card-header-1">
+ <div class="d-flex flex-row tutorial-card-header-2">
+ <button class="btn btn-dark btn-sm"></button>
+ What kind of data does Pandas handle?
+ </div>
+ <span class="badge gs-badge-link">
+
+:ref:`Straight to tutorial...<10min_tut_01_tableoriented>`
+
+.. raw:: html
+
+ </span>
+ </div>
+ </div>
+ <div id="collapseOne" class="collapse" data-parent="#accordion">
+ <div class="card-body">
+
+When working with tabular data, such as data stored in spreadsheets or databases, Pandas is the right tool for you. Pandas will help you
+to explore, clean and process your data. In Pandas, a data table is called a :class:`DataFrame`.
+
+.. image:: ../_static/schemas/01_table_dataframe.svg
+ :align: center
+
+.. raw:: html
+
+ <div class="d-flex flex-row">
+ <span class="badge gs-badge-link">
+
+:ref:`To introduction tutorial <10min_tut_01_tableoriented>`
+
+.. raw:: html
+
+ </span>
+ <span class="badge gs-badge-link">
+
+:ref:`To user guide <dsintro>`
+
+.. raw:: html
+
+ </span>
+ </div>
+ </div>
+ </div>
+ </div>
+
+ <div class="card tutorial-card">
+ <div class="card-header collapsed card-link" data-toggle="collapse" data-target="#collapseTwo">
+ <div class="d-flex flex-row tutorial-card-header-1">
+ <div class="d-flex flex-row tutorial-card-header-2">
+ <button class="btn btn-dark btn-sm"></button>
+ How do I read and write tabular data?
+ </div>
+ <span class="badge gs-badge-link">
+
+:ref:`Straight to tutorial...<10min_tut_02_read_write>`
+
+.. raw:: html
+
+ </span>
+ </div>
+ </div>
+ <div id="collapseTwo" class="collapse" data-parent="#accordion">
+ <div class="card-body">
+
+Pandas supports the integration with many file formats or data sources out of the box (csv, excel, sql, json, parquet,…). Importing data from each of these
+data sources is provided by function with the prefix ``read_*``. Similarly, the ``to_*`` methods are used to store data.
+
+.. image:: ../_static/schemas/02_io_readwrite.svg
+ :align: center
+
+.. raw:: html
+
+ <div class="d-flex flex-row">
+ <span class="badge gs-badge-link">
+
+:ref:`To introduction tutorial <10min_tut_02_read_write>`
+
+.. raw:: html
+
+ </span>
+ <span class="badge gs-badge-link">
+
+:ref:`To user guide <io>`
+
+.. raw:: html
+
+ </span>
+ </div>
+ </div>
+ </div>
+ </div>
+
+ <div class="card tutorial-card">
+ <div class="card-header collapsed card-link" data-toggle="collapse" data-target="#collapseThree">
+ <div class="d-flex flex-row tutorial-card-header-1">
+ <div class="d-flex flex-row tutorial-card-header-2">
+ <button class="btn btn-dark btn-sm"></button>
+ How do I select a subset of a table?
+ </div>
+ <span class="badge gs-badge-link">
+
+:ref:`Straight to tutorial...<10min_tut_03_subset>`
+
+.. raw:: html
+
+ </span>
+ </div>
+ </div>
+ <div id="collapseThree" class="collapse" data-parent="#accordion">
+ <div class="card-body">
+
+Selecting or filtering specific rows and/or columns? Filtering the data on a condition? Methods for slicing, selecting, and extracting the
+data you need are available in Pandas.
+
+.. image:: ../_static/schemas/03_subset_columns_rows.svg
+ :align: center
+
+.. raw:: html
+
+ <div class="d-flex flex-row">
+ <span class="badge gs-badge-link">
+
+:ref:`To introduction tutorial <10min_tut_03_subset>`
+
+.. raw:: html
+
+ </span>
+ <span class="badge gs-badge-link">
+
+:ref:`To user guide <indexing>`
+
+.. raw:: html
+
+ </span>
+ </div>
+ </div>
+ </div>
+ </div>
+
+ <div class="card tutorial-card">
+ <div class="card-header collapsed card-link" data-toggle="collapse" data-target="#collapseFour">
+ <div class="d-flex flex-row tutorial-card-header-1">
+ <div class="d-flex flex-row tutorial-card-header-2">
+ <button class="btn btn-dark btn-sm"></button>
+ How to create plots in pandas?
+ </div>
+ <span class="badge gs-badge-link">
+
+:ref:`Straight to tutorial...<10min_tut_04_plotting>`
+
+.. raw:: html
+
+ </span>
+ </div>
+ </div>
+ <div id="collapseFour" class="collapse" data-parent="#accordion">
+ <div class="card-body">
+
+Pandas provides plotting your data out of the box, using the power of Matplotlib. You can pick the plot type (scatter, bar, boxplot,...)
+corresponding to your data.
+
+.. image:: ../_static/schemas/04_plot_overview.svg
+ :align: center
+
+.. raw:: html
+
+ <div class="d-flex flex-row">
+ <span class="badge gs-badge-link">
+
+:ref:`To introduction tutorial <10min_tut_04_plotting>`
+
+.. raw:: html
+
+ </span>
+ <span class="badge gs-badge-link">
+
+:ref:`To user guide <visualization>`
+
+.. raw:: html
+
+ </span>
+ </div>
+ </div>
+ </div>
+ </div>
+
+ <div class="card tutorial-card">
+ <div class="card-header collapsed card-link" data-toggle="collapse" data-target="#collapseFive">
+ <div class="d-flex flex-row tutorial-card-header-1">
+ <div class="d-flex flex-row tutorial-card-header-2">
+ <button class="btn btn-dark btn-sm"></button>
+ How to create new columns derived from existing columns?
+ </div>
+ <span class="badge gs-badge-link">
+
+:ref:`Straight to tutorial...<10min_tut_05_columns>`
+
+.. raw:: html
+
+ </span>
+ </div>
+ </div>
+ <div id="collapseFive" class="collapse" data-parent="#accordion">
+ <div class="card-body">
+
+There is no need to loop over all rows of your data table to do calculations. Data manipulations on a column work elementwise.
+Adding a column to a :class:`DataFrame` based on existing data in other columns is straightforward.
+
+.. image:: ../_static/schemas/05_newcolumn_2.svg
+ :align: center
+
+.. raw:: html
+
+ <div class="d-flex flex-row">
+ <span class="badge gs-badge-link">
+
+:ref:`To introduction tutorial <10min_tut_05_columns>`
+
+.. raw:: html
+
+ </span>
+ <span class="badge gs-badge-link">
+
+:ref:`To user guide <basics.dataframe.sel_add_del>`
+
+.. raw:: html
+
+ </span>
+ </div>
+ </div>
+ </div>
+ </div>
+
+ <div class="card tutorial-card">
+ <div class="card-header collapsed card-link" data-toggle="collapse" data-target="#collapseSix">
+ <div class="d-flex flex-row tutorial-card-header-1">
+ <div class="d-flex flex-row tutorial-card-header-2">
+ <button class="btn btn-dark btn-sm"></button>
+ How to calculate summary statistics?
+ </div>
+ <span class="badge gs-badge-link">
+
+:ref:`Straight to tutorial...<10min_tut_06_stats>`
+
+.. raw:: html
+
+ </span>
+ </div>
+ </div>
+ <div id="collapseSix" class="collapse" data-parent="#accordion">
+ <div class="card-body">
+
+Basic statistics (mean, median, min, max, counts...) are easily calculable. These or custom aggregations can be applied on the entire
+data set, a sliding window of the data or grouped by categories. The latter is also known as the split-apply-combine approach.
+
+.. image:: ../_static/schemas/06_groupby.svg
+ :align: center
+
+.. raw:: html
+
+ <div class="d-flex flex-row">
+ <span class="badge gs-badge-link">
+
+:ref:`To introduction tutorial <10min_tut_06_stats>`
+
+.. raw:: html
+
+ </span>
+ <span class="badge gs-badge-link">
+
+:ref:`To user guide <groupby>`
+
+.. raw:: html
+
+ </span>
+ </div>
+ </div>
+ </div>
+ </div>
+
+ <div class="card tutorial-card">
+ <div class="card-header collapsed card-link" data-toggle="collapse" data-target="#collapseSeven">
+ <div class="d-flex flex-row tutorial-card-header-1">
+ <div class="d-flex flex-row tutorial-card-header-2">
+ <button class="btn btn-dark btn-sm"></button>
+ How to reshape the layout of tables?
+ </div>
+ <span class="badge gs-badge-link">
+
+:ref:`Straight to tutorial...<10min_tut_07_reshape>`
+
+.. raw:: html
+
+ </span>
+ </div>
+ </div>
+ <div id="collapseSeven" class="collapse" data-parent="#accordion">
+ <div class="card-body">
+
+Change the structure of your data table in multiple ways. You can :func:`~pandas.melt` your data table from wide to long/tidy form or :func:`~pandas.pivot`
+from long to wide format. With aggregations built-in, a pivot table is created with a sinlge command.
+
+.. image:: ../_static/schemas/07_melt.svg
+ :align: center
+
+.. raw:: html
+
+ <div class="d-flex flex-row">
+ <span class="badge gs-badge-link">
+
+:ref:`To introduction tutorial <10min_tut_07_reshape>`
+
+.. raw:: html
+
+ </span>
+ <span class="badge gs-badge-link">
+
+:ref:`To user guide <reshaping>`
+
+.. raw:: html
+
+ </span>
+ </div>
+ </div>
+ </div>
+ </div>
+
+ <div class="card tutorial-card">
+ <div class="card-header collapsed card-link" data-toggle="collapse" data-target="#collapseEight">
+ <div class="d-flex flex-row tutorial-card-header-1">
+ <div class="d-flex flex-row tutorial-card-header-2">
+ <button class="btn btn-dark btn-sm"></button>
+ How to combine data from multiple tables?
+ </div>
+ <span class="badge gs-badge-link">
+
+:ref:`Straight to tutorial...<10min_tut_08_combine>`
+
+.. raw:: html
+
+ </span>
+ </div>
+ </div>
+ <div id="collapseEight" class="collapse" data-parent="#accordion">
+ <div class="card-body">
+
+Multiple tables can be concatenated both column wise as row wise and database-like join/merge operations are provided to combine multiple tables of data.
+
+.. image:: ../_static/schemas/08_concat_row.svg
+ :align: center
+
+.. raw:: html
+
+ <div class="d-flex flex-row">
+ <span class="badge gs-badge-link">
+
+:ref:`To introduction tutorial <10min_tut_08_combine>`
+
+.. raw:: html
+
+ </span>
+ <span class="badge gs-badge-link">
+
+:ref:`To user guide <merging>`
+
+.. raw:: html
+
+ </span>
+ </div>
+ </div>
+ </div>
+ </div>
+
+ <div class="card tutorial-card">
+ <div class="card-header collapsed card-link" data-toggle="collapse" data-target="#collapseNine">
+ <div class="d-flex flex-row tutorial-card-header-1">
+ <div class="d-flex flex-row tutorial-card-header-2">
+ <button class="btn btn-dark btn-sm"></button>
+ How to handle time series data?
+ </div>
+ <span class="badge gs-badge-link">
+
+:ref:`Straight to tutorial...<10min_tut_09_timeseries>`
+
+.. raw:: html
+
+ </span>
+ </div>
+ </div>
+ <div id="collapseNine" class="collapse" data-parent="#accordion">
+ <div class="card-body">
+
+Pandas has great support for time series and has an extensive set of tools for working with dates, times, and time-indexed data.
+
+.. raw:: html
+
+ <div class="d-flex flex-row">
+ <span class="badge gs-badge-link">
+
+:ref:`To introduction tutorial <10min_tut_09_timeseries>`
+
+.. raw:: html
+
+ </span>
+ <span class="badge gs-badge-link">
+
+:ref:`To user guide <timeseries>`
+
+.. raw:: html
+
+ </span>
+ </div>
+ </div>
+ </div>
+ </div>
+
+ <div class="card tutorial-card">
+ <div class="card-header collapsed card-link" data-toggle="collapse" data-target="#collapseTen">
+ <div class="d-flex flex-row tutorial-card-header-1">
+ <div class="d-flex flex-row tutorial-card-header-2">
+ <button class="btn btn-dark btn-sm"></button>
+ How to manipulate textual data?
+ </div>
+ <span class="badge gs-badge-link">
+
+:ref:`Straight to tutorial...<10min_tut_10_text>`
+
+.. raw:: html
+
+ </span>
+ </div>
+ </div>
+ <div id="collapseTen" class="collapse" data-parent="#accordion">
+ <div class="card-body">
+
+Data sets do not only contain numerical data. Pandas provides a wide range of functions to cleaning textual data and extract useful information from it.
+
+.. raw:: html
+
+ <div class="d-flex flex-row">
+ <span class="badge gs-badge-link">
+
+:ref:`To introduction tutorial <10min_tut_10_text>`
+
+.. raw:: html
+
+ </span>
+ <span class="badge gs-badge-link">
+
+:ref:`To user guide <timeseries>`
+
+.. raw:: html
+
+ </span>
+ </div>
+ </div>
+ </div>
+ </div>
+
+ </div>
+ </div>
+
+
+.. _comingfrom:
+
+Coming from...
+--------------
+
+Currently working with other software for data manipulation in a tabular format? You're probably familiar to typical
+data operations and know *what* to do with your tabular data, but lacking the syntax to execute these operations. Get to know
+the pandas syntax by looking for equivalents from the software you already know:
+
+.. raw:: html
+
+ <div class="container">
+ <div class="row">
+ <div class="col-lg-6 col-md-6 col-sm-6 col-xs-12 d-flex">
+ <div class="card text-center intro-card shadow">
+ <img src="../_static/logo_r.svg" class="card-img-top" alt="R project logo" height="72">
+ <div class="card-body flex-fill">
+ <p class="card-text">The <a href="https://www.r-project.org/">R programming language</a> provides the <code>data.frame</code> data structure and multiple packages,
+ such as <a href="https://www.tidyverse.org/">tidyverse</a> use and extend <code>data.frame</code>s for convenient data handling
+ functionalities similar to pandas.</p>
+
+.. container:: custom-button
+
+ :ref:`Learn more <compare_with_r>`
+
+.. raw:: html
+
+ </div>
+ </div>
+ </div>
+ <div class="col-lg-6 col-md-6 col-sm-6 col-xs-12 d-flex">
+ <div class="card text-center intro-card shadow">
+ <img src="../_static/logo_sql.svg" class="card-img-top" alt="SQL logo" height="72">
+ <div class="card-body flex-fill">
+ <p class="card-text">Already familiar to <code>SELECT</code>, <code>GROUP BY</code>, <code>JOIN</code>,...?
+ Most of these SQL manipulations do have equivalents in pandas.</p>
+
+.. container:: custom-button
+
+ :ref:`Learn more <compare_with_sql>`
+
+.. raw:: html
+
+ </div>
+ </div>
+ </div>
+ <div class="col-lg-6 col-md-6 col-sm-6 col-xs-12 d-flex">
+ <div class="card text-center intro-card shadow">
+ <img src="../_static/logo_stata.svg" class="card-img-top" alt="STATA logo" height="52">
+ <div class="card-body flex-fill">
+ <p class="card-text">The <code>data set</code> included in the
+ <a href="https://en.wikipedia.org/wiki/Stata">STATA</a> statistical software suite corresponds
+ to the pandas <code>data.frame</code>. Many of the operations known from STATA have an equivalent
+ in pandas.</p>
+
+.. container:: custom-button
+
+ :ref:`Learn more <compare_with_stata>`
+
+.. raw:: html
+
+ </div>
+ </div>
+ </div>
+ <div class="col-lg-6 col-md-6 col-sm-6 col-xs-12 d-flex">
+ <div class="card text-center intro-card shadow">
+ <img src="../_static/logo_sas.svg" class="card-img-top" alt="SAS logo" height="52">
+ <div class="card-body flex-fill">
+ <p class="card-text">The <a href="https://en.wikipedia.org/wiki/SAS_(software)">SAS</a> statistical software suite
+ also provides the <code>data set</code> corresponding to the pandas <code>data.frame</code>.
+ Also vectorized operations, filtering, string processing operations,... from SAS have similar
+ functions in pandas.</p>
+
+.. container:: custom-button
+
+ :ref:`Learn more <compare_with_sas>`
+
+.. raw:: html
+
+ </div>
+ </div>
+ </div>
+ </div>
+ </div>
+
+Community tutorials
+-------------------
+
+The community produces a wide variety of tutorials available online. Some of the
+material is enlisted in the community contributed :ref:`tutorials`.
+
+
.. If you update this toctree, also update the manual toctree in the
main index.rst.template
.. toctree::
:maxdepth: 2
+ :hidden:
install
overview
10min
+ intro_tutorials/index
basics
dsintro
comparison/index
diff --git a/doc/source/getting_started/intro_tutorials/01_table_oriented.rst b/doc/source/getting_started/intro_tutorials/01_table_oriented.rst
new file mode 100644
index 0000000000000..02e59b3c81755
--- /dev/null
+++ b/doc/source/getting_started/intro_tutorials/01_table_oriented.rst
@@ -0,0 +1,218 @@
+.. _10min_tut_01_tableoriented:
+
+{{ header }}
+
+What kind of data does pandas handle?
+=====================================
+
+.. raw:: html
+
+ <ul class="task-bullet">
+ <li>
+
+I want to start using pandas
+
+.. ipython:: python
+
+ import pandas as pd
+
+To load the pandas package and start working with it, import the
+package. The community agreed alias for pandas is ``pd``, so loading
+pandas as ``pd`` is assumed standard practice for all of the pandas
+documentation.
+
+.. raw:: html
+
+ </li>
+ </ul>
+
+Pandas data table representation
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+.. image:: ../../_static/schemas/01_table_dataframe.svg
+ :align: center
+
+.. raw:: html
+
+ <ul class="task-bullet">
+ <li>
+
+I want to store passenger data of the Titanic. For a number of passengers, I know the name (characters), age (integers) and sex (male/female) data.
+
+.. ipython:: python
+
+ df = pd.DataFrame({
+ "Name": ["Braund, Mr. Owen Harris",
+ "Allen, Mr. William Henry",
+ "Bonnell, Miss. Elizabeth"],
+ "Age": [22, 35, 58],
+ "Sex": ["male", "male", "female"]}
+ )
+ df
+
+To manually store data in a table, create a ``DataFrame``. When using a Python dictionary of lists, the dictionary keys will be used as column headers and
+the values in each list as rows of the ``DataFrame``.
+
+.. raw:: html
+
+ </li>
+ </ul>
+
+A :class:`DataFrame` is a 2-dimensional data structure that can store data of
+different types (including characters, integers, floating point values,
+categorical data and more) in columns. It is similar to a spreadsheet, a
+SQL table or the ``data.frame`` in R.
+
+- The table has 3 columns, each of them with a column label. The column
+ labels are respectively ``Name``, ``Age`` and ``Sex``.
+- The column ``Name`` consists of textual data with each value a
+ string, the column ``Age`` are numbers and the column ``Sex`` is
+ textual data.
+
+In spreadsheet software, the table representation of our data would look
+very similar:
+
+.. image:: ../../_static/schemas/01_table_spreadsheet.png
+ :align: center
+
+Each column in a ``DataFrame`` is a ``Series``
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+.. image:: ../../_static/schemas/01_table_series.svg
+ :align: center
+
+.. raw:: html
+
+ <ul class="task-bullet">
+ <li>
+
+I’m just interested in working with the data in the column ``Age``
+
+.. ipython:: python
+
+ df["Age"]
+
+When selecting a single column of a pandas :class:`DataFrame`, the result is
+a pandas :class:`Series`. To select the column, use the column label in
+between square brackets ``[]``.
+
+.. raw:: html
+
+ </li>
+ </ul>
+
+.. note::
+ If you are familiar to Python
+ :ref:`dictionaries <python:tut-dictionaries>`, the selection of a
+ single column is very similar to selection of dictionary values based on
+ the key.
+
+You can create a ``Series`` from scratch as well:
+
+.. ipython:: python
+
+ ages = pd.Series([22, 35, 58], name="Age")
+ ages
+
+A pandas ``Series`` has no column labels, as it is just a single column
+of a ``DataFrame``. A Series does have row labels.
+
+Do something with a DataFrame or Series
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+.. raw:: html
+
+ <ul class="task-bullet">
+ <li>
+
+I want to know the maximum Age of the passengers
+
+We can do this on the ``DataFrame`` by selecting the ``Age`` column and
+applying ``max()``:
+
+.. ipython:: python
+
+ df["Age"].max()
+
+Or to the ``Series``:
+
+.. ipython:: python
+
+ ages.max()
+
+.. raw:: html
+
+ </li>
+ </ul>
+
+As illustrated by the ``max()`` method, you can *do* things with a
+``DataFrame`` or ``Series``. pandas provides a lot of functionalities,
+each of them a *method* you can apply to a ``DataFrame`` or ``Series``.
+As methods are functions, do not forget to use parentheses ``()``.
+
+.. raw:: html
+
+ <ul class="task-bullet">
+ <li>
+
+I’m interested in some basic statistics of the numerical data of my data table
+
+.. ipython:: python
+
+ df.describe()
+
+The :func:`~DataFrame.describe` method provides a quick overview of the numerical data in
+a ``DataFrame``. As the ``Name`` and ``Sex`` columns are textual data,
+these are by default not taken into account by the :func:`~DataFrame.describe` method.
+
+.. raw:: html
+
+ </li>
+ </ul>
+
+Many pandas operations return a ``DataFrame`` or a ``Series``. The
+:func:`~DataFrame.describe` method is an example of a pandas operation returning a
+pandas ``Series``.
+
+.. raw:: html
+
+ <div class="d-flex flex-row gs-torefguide">
+ <span class="badge badge-info">To user guide</span>
+
+Check more options on ``describe`` in the user guide section about :ref:`aggregations with describe <basics.describe>`
+
+.. raw:: html
+
+ </div>
+
+.. note::
+ This is just a starting point. Similar to spreadsheet
+ software, pandas represents data as a table with columns and rows. Apart
+ from the representation, also the data manipulations and calculations
+ you would do in spreadsheet software are supported by pandas. Continue
+ reading the next tutorials to get started!
+
+.. raw:: html
+
+ <div class="shadow gs-callout gs-callout-remember">
+ <h4>REMEMBER</h4>
+
+- Import the package, aka ``import pandas as pd``
+- A table of data is stored as a pandas ``DataFrame``
+- Each column in a ``DataFrame`` is a ``Series``
+- You can do things by applying a method to a ``DataFrame`` or ``Series``
+
+.. raw:: html
+
+ </div>
+
+.. raw:: html
+
+ <div class="d-flex flex-row gs-torefguide">
+ <span class="badge badge-info">To user guide</span>
+
+A more extended explanation to ``DataFrame`` and ``Series`` is provided in the :ref:`introduction to data structures <dsintro>`.
+
+.. raw:: html
+
+ </div>
\ No newline at end of file
diff --git a/doc/source/getting_started/intro_tutorials/02_read_write.rst b/doc/source/getting_started/intro_tutorials/02_read_write.rst
new file mode 100644
index 0000000000000..797bdbcf25d17
--- /dev/null
+++ b/doc/source/getting_started/intro_tutorials/02_read_write.rst
@@ -0,0 +1,232 @@
+.. _10min_tut_02_read_write:
+
+{{ header }}
+
+.. ipython:: python
+
+ import pandas as pd
+
+.. raw:: html
+
+ <div class="card gs-data">
+ <div class="card-header">
+ <div class="gs-data-title">
+ Data used for this tutorial:
+ </div>
+ </div>
+ <ul class="list-group list-group-flush">
+ <li class="list-group-item">
+ <div data-toggle="collapse" href="#collapsedata" role="button" aria-expanded="false" aria-controls="collapsedata">
+ <span class="badge badge-dark">Titanic data</span>
+ </div>
+ <div class="collapse" id="collapsedata">
+ <div class="card-body">
+ <p class="card-text">
+
+This tutorial uses the titanic data set, stored as CSV. The data
+consists of the following data columns:
+
+- PassengerId: Id of every passenger.
+- Survived: This feature have value 0 and 1. 0 for not survived and 1
+ for survived.
+- Pclass: There are 3 classes: Class 1, Class 2 and Class 3.
+- Name: Name of passenger.
+- Sex: Gender of passenger.
+- Age: Age of passenger.
+- SibSp: Indication that passenger have siblings and spouse.
+- Parch: Whether a passenger is alone or have family.
+- Ticket: Ticket number of passenger.
+- Fare: Indicating the fare.
+- Cabin: The cabin of passenger.
+- Embarked: The embarked category.
+
+.. raw:: html
+
+ </p>
+ <a href="https://github.com/pandas-dev/pandas/tree/master/doc/data/titanic.csv" class="btn btn-dark btn-sm">To raw data</a>
+ </div>
+ </div>
+ </li>
+ </ul>
+ </div>
+
+How do I read and write tabular data?
+=====================================
+
+.. image:: ../../_static/schemas/02_io_readwrite.svg
+ :align: center
+
+.. raw:: html
+
+ <ul class="task-bullet">
+ <li>
+
+I want to analyse the titanic passenger data, available as a CSV file.
+
+.. ipython:: python
+
+ titanic = pd.read_csv("data/titanic.csv")
+
+pandas provides the :func:`read_csv` function to read data stored as a csv
+file into a pandas ``DataFrame``. pandas supports many different file
+formats or data sources out of the box (csv, excel, sql, json, parquet,
+…), each of them with the prefix ``read_*``.
+
+.. raw:: html
+
+ </li>
+ </ul>
+
+Make sure to always have a check on the data after reading in the
+data. When displaying a ``DataFrame``, the first and last 5 rows will be
+shown by default:
+
+.. ipython:: python
+
+ titanic
+
+.. raw:: html
+
+ <ul class="task-bullet">
+ <li>
+
+I want to see the first 8 rows of a pandas DataFrame.
+
+.. ipython:: python
+
+ titanic.head(8)
+
+To see the first N rows of a ``DataFrame``, use the :meth:`~DataFrame.head` method with
+the required number of rows (in this case 8) as argument.
+
+.. raw:: html
+
+ </li>
+ </ul>
+
+.. note::
+
+ Interested in the last N rows instead? pandas also provides a
+ :meth:`~DataFrame.tail` method. For example, ``titanic.tail(10)`` will return the last
+ 10 rows of the DataFrame.
+
+A check on how pandas interpreted each of the column data types can be
+done by requesting the pandas ``dtypes`` attribute:
+
+.. ipython:: python
+
+ titanic.dtypes
+
+For each of the columns, the used data type is enlisted. The data types
+in this ``DataFrame`` are integers (``int64``), floats (``float63``) and
+strings (``object``).
+
+.. note::
+ When asking for the ``dtypes``, no brackets are used!
+ ``dtypes`` is an attribute of a ``DataFrame`` and ``Series``. Attributes
+ of ``DataFrame`` or ``Series`` do not need brackets. Attributes
+ represent a characteristic of a ``DataFrame``/``Series``, whereas a
+ method (which requires brackets) *do* something with the
+ ``DataFrame``/``Series`` as introduced in the :ref:`first tutorial <10min_tut_01_tableoriented>`.
+
+.. raw:: html
+
+ <ul class="task-bullet">
+ <li>
+
+My colleague requested the titanic data as a spreadsheet.
+
+.. ipython:: python
+
+ titanic.to_excel('titanic.xlsx', sheet_name='passengers', index=False)
+
+Whereas ``read_*`` functions are used to read data to pandas, the
+``to_*`` methods are used to store data. The :meth:`~DataFrame.to_excel` method stores
+the data as an excel file. In the example here, the ``sheet_name`` is
+named *passengers* instead of the default *Sheet1*. By setting
+``index=False`` the row index labels are not saved in the spreadsheet.
+
+.. raw:: html
+
+ </li>
+ </ul>
+
+The equivalent read function :meth:`~DataFrame.to_excel` will reload the data to a
+``DataFrame``:
+
+.. ipython:: python
+
+ titanic = pd.read_excel('titanic.xlsx', sheet_name='passengers')
+
+.. ipython:: python
+
+ titanic.head()
+
+.. ipython:: python
+ :suppress:
+
+ import os
+ os.remove('titanic.xlsx')
+
+.. raw:: html
+
+ <ul class="task-bullet">
+ <li>
+
+I’m interested in a technical summary of a ``DataFrame``
+
+.. ipython:: python
+
+ titanic.info()
+
+
+The method :meth:`~DataFrame.info` provides technical information about a
+``DataFrame``, so let’s explain the output in more detail:
+
+- It is indeed a :class:`DataFrame`.
+- There are 891 entries, i.e. 891 rows.
+- Each row has a row label (aka the ``index``) with values ranging from
+ 0 to 890.
+- The table has 12 columns. Most columns have a value for each of the
+ rows (all 891 values are ``non-null``). Some columns do have missing
+ values and less than 891 ``non-null`` values.
+- The columns ``Name``, ``Sex``, ``Cabin`` and ``Embarked`` consists of
+ textual data (strings, aka ``object``). The other columns are
+ numerical data with some of them whole numbers (aka ``integer``) and
+ others are real numbers (aka ``float``).
+- The kind of data (characters, integers,…) in the different columns
+ are summarized by listing the ``dtypes``.
+- The approximate amount of RAM used to hold the DataFrame is provided
+ as well.
+
+.. raw:: html
+
+ </li>
+ </ul>
+
+.. raw:: html
+
+ <div class="shadow gs-callout gs-callout-remember">
+ <h4>REMEMBER</h4>
+
+- Getting data in to pandas from many different file formats or data
+ sources is supported by ``read_*`` functions.
+- Exporting data out of pandas is provided by different
+ ``to_*``\ methods.
+- The ``head``/``tail``/``info`` methods and the ``dtypes`` attribute
+ are convenient for a first check.
+
+.. raw:: html
+
+ </div>
+
+.. raw:: html
+
+ <div class="d-flex flex-row bg-light gs-torefguide">
+ <span class="badge badge-info">To user guide</span>
+
+For a complete overview of the input and output possibilites from and to pandas, see the user guide section about :ref:`reader and writer functions <io>`.
+
+.. raw:: html
+
+ </div>
diff --git a/doc/source/getting_started/intro_tutorials/03_subset_data.rst b/doc/source/getting_started/intro_tutorials/03_subset_data.rst
new file mode 100644
index 0000000000000..7a4347905ad8d
--- /dev/null
+++ b/doc/source/getting_started/intro_tutorials/03_subset_data.rst
@@ -0,0 +1,405 @@
+.. _10min_tut_03_subset:
+
+{{ header }}
+
+.. ipython:: python
+
+ import pandas as pd
+
+.. raw:: html
+
+ <div class="card gs-data">
+ <div class="card-header">
+ <div class="gs-data-title">
+ Data used for this tutorial:
+ </div>
+ </div>
+ <ul class="list-group list-group-flush">
+ <li class="list-group-item">
+ <div data-toggle="collapse" href="#collapsedata" role="button" aria-expanded="false" aria-controls="collapsedata">
+ <span class="badge badge-dark">Titanic data</span>
+ </div>
+ <div class="collapse" id="collapsedata">
+ <div class="card-body">
+ <p class="card-text">
+
+This tutorial uses the titanic data set, stored as CSV. The data
+consists of the following data columns:
+
+- PassengerId: Id of every passenger.
+- Survived: This feature have value 0 and 1. 0 for not survived and 1
+ for survived.
+- Pclass: There are 3 classes: Class 1, Class 2 and Class 3.
+- Name: Name of passenger.
+- Sex: Gender of passenger.
+- Age: Age of passenger.
+- SibSp: Indication that passenger have siblings and spouse.
+- Parch: Whether a passenger is alone or have family.
+- Ticket: Ticket number of passenger.
+- Fare: Indicating the fare.
+- Cabin: The cabin of passenger.
+- Embarked: The embarked category.
+
+.. raw:: html
+
+ </p>
+ <a href="https://github.com/pandas-dev/pandas/tree/master/doc/data/titanic.csv" class="btn btn-dark btn-sm">To raw data</a>
+ </div>
+ </div>
+
+.. ipython:: python
+
+ titanic = pd.read_csv("data/titanic.csv")
+ titanic.head()
+
+.. raw:: html
+
+ </li>
+ </ul>
+ </div>
+
+How do I select a subset of a ``DataFrame``?
+============================================
+
+How do I select specific columns from a ``DataFrame``?
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+.. image:: ../../_static/schemas/03_subset_columns.svg
+ :align: center
+
+.. raw:: html
+
+ <ul class="task-bullet">
+ <li>
+
+I’m interested in the age of the titanic passengers.
+
+.. ipython:: python
+
+ ages = titanic["Age"]
+ ages.head()
+
+To select a single column, use square brackets ``[]`` with the column
+name of the column of interest.
+
+.. raw:: html
+
+ </li>
+ </ul>
+
+Each column in a :class:`DataFrame` is a :class:`Series`. As a single column is
+selected, the returned object is a pandas :class:`DataFrame`. We can verify this
+by checking the type of the output:
+
+.. ipython:: python
+
+ type(titanic["Age"])
+
+And have a look at the ``shape`` of the output:
+
+.. ipython:: python
+
+ titanic["Age"].shape
+
+:attr:`DataFrame.shape` is an attribute (remember :ref:`tutorial on reading and writing <10min_tut_02_read_write>`, do not use parantheses for attributes) of a
+pandas ``Series`` and ``DataFrame`` containing the number of rows and
+columns: *(nrows, ncolumns)*. A pandas Series is 1-dimensional and only
+the number of rows is returned.
+
+.. raw:: html
+
+ <ul class="task-bullet">
+ <li>
+
+I’m interested in the age and sex of the titanic passengers.
+
+.. ipython:: python
+
+ age_sex = titanic[["Age", "Sex"]]
+ age_sex.head()
+
+To select multiple columns, use a list of column names within the
+selection brackets ``[]``.
+
+.. raw:: html
+
+ </li>
+ </ul>
+
+.. note::
+ The inner square brackets define a
+ :ref:`Python list <python:tut-morelists>` with column names, whereas
+ the outer brackets are used to select the data from a pandas
+ ``DataFrame`` as seen in the previous example.
+
+The returned data type is a pandas DataFrame:
+
+.. ipython:: python
+
+ type(titanic[["Age", "Sex"]])
+
+.. ipython:: python
+
+ titanic[["Age", "Sex"]].shape
+
+The selection returned a ``DataFrame`` with 891 rows and 2 columns. Remember, a
+``DataFrame`` is 2-dimensional with both a row and column dimension.
+
+.. raw:: html
+
+ <div class="d-flex flex-row gs-torefguide">
+ <span class="badge badge-info">To user guide</span>
+
+For basic information on indexing, see the user guide section on :ref:`indexing and selecting data <indexing.basics>`.
+
+.. raw:: html
+
+ </div>
+
+How do I filter specific rows from a ``DataFrame``?
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+.. image:: ../../_static/schemas/03_subset_rows.svg
+ :align: center
+
+.. raw:: html
+
+ <ul class="task-bullet">
+ <li>
+
+I’m interested in the passengers older than 35 years.
+
+.. ipython:: python
+
+ above_35 = titanic[titanic["Age"] > 35]
+ above_35.head()
+
+To select rows based on a conditional expression, use a condition inside
+the selection brackets ``[]``.
+
+.. raw:: html
+
+ </li>
+ </ul>
+
+The condition inside the selection
+brackets ``titanic["Age"] > 35`` checks for which rows the ``Age``
+column has a value larger than 35:
+
+.. ipython:: python
+
+ titanic["Age"] > 35
+
+The output of the conditional expression (``>``, but also ``==``,
+``!=``, ``<``, ``<=``,… would work) is actually a pandas ``Series`` of
+boolean values (either ``True`` or ``False``) with the same number of
+rows as the original ``DataFrame``. Such a ``Series`` of boolean values
+can be used to filter the ``DataFrame`` by putting it in between the
+selection brackets ``[]``. Only rows for which the value is ``True``
+will be selected.
+
+We now from before that the original titanic ``DataFrame`` consists of
+891 rows. Let’s have a look at the amount of rows which satisfy the
+condition by checking the ``shape`` attribute of the resulting
+``DataFrame`` ``above_35``:
+
+.. ipython:: python
+
+ above_35.shape
+
+.. raw:: html
+
+ <ul class="task-bullet">
+ <li>
+
+I’m interested in the titanic passengers from cabin class 2 and 3.
+
+.. ipython:: python
+
+ class_23 = titanic[titanic["Pclass"].isin([2, 3])]
+ class_23.head()
+
+Similar to the conditional expression, the :func:`~Series.isin` conditional function
+returns a ``True`` for each row the values are in the provided list. To
+filter the rows based on such a function, use the conditional function
+inside the selection brackets ``[]``. In this case, the condition inside
+the selection brackets ``titanic["Pclass"].isin([2, 3])`` checks for
+which rows the ``Pclass`` column is either 2 or 3.
+
+.. raw:: html
+
+ </li>
+ </ul>
+
+The above is equivalent to filtering by rows for which the class is
+either 2 or 3 and combining the two statements with an ``|`` (or)
+operator:
+
+.. ipython:: python
+
+ class_23 = titanic[(titanic["Pclass"] == 2) | (titanic["Pclass"] == 3)]
+ class_23.head()
+
+.. note::
+ When combining multiple conditional statements, each condition
+ must be surrounded by parentheses ``()``. Moreover, you can not use
+ ``or``/``and`` but need to use the ``or`` operator ``|`` and the ``and``
+ operator ``&``.
+
+.. raw:: html
+
+ <div class="d-flex flex-row gs-torefguide">
+ <span class="badge badge-info">To user guide</span>
+
+See the dedicated section in the user guide about :ref:`boolean indexing <indexing.boolean>` or about the :ref:`isin function <indexing.basics.indexing_isin>`.
+
+.. raw:: html
+
+ </div>
+
+.. raw:: html
+
+ <ul class="task-bullet">
+ <li>
+
+I want to work with passenger data for which the age is known.
+
+.. ipython:: python
+
+ age_no_na = titanic[titanic["Age"].notna()]
+ age_no_na.head()
+
+The :meth:`~Series.notna` conditional function returns a ``True`` for each row the
+values are not an ``Null`` value. As such, this can be combined with the
+selection brackets ``[]`` to filter the data table.
+
+.. raw:: html
+
+ </li>
+ </ul>
+
+You might wonder what actually changed, as the first 5 lines are still
+the same values. One way to verify is to check if the shape has changed:
+
+.. ipython:: python
+
+ age_no_na.shape
+
+.. raw:: html
+
+ <div class="d-flex flex-row gs-torefguide">
+ <span class="badge badge-info">To user guide</span>
+
+For more dedicated functions on missing values, see the user guide section about :ref:`handling missing data <missing_data>`.
+
+.. raw:: html
+
+ </div>
+
+How do I select specific rows and columns from a ``DataFrame``?
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+.. image:: ../../_static/schemas/03_subset_columns_rows.svg
+ :align: center
+
+.. raw:: html
+
+ <ul class="task-bullet">
+ <li>
+
+I’m interested in the names of the passengers older than 35 years.
+
+.. ipython:: python
+
+ adult_names = titanic.loc[titanic["Age"] > 35, "Name"]
+ adult_names.head()
+
+In this case, a subset of both rows and columns is made in one go and
+just using selection brackets ``[]`` is not sufficient anymore. The
+``loc``/``iloc`` operators are required in front of the selection
+brackets ``[]``. When using ``loc``/``iloc``, the part before the comma
+is the rows you want, and the part after the comma is the columns you
+want to select.
+
+.. raw:: html
+
+ </li>
+ </ul>
+
+When using the column names, row labels or a condition expression, use
+the ``loc`` operator in front of the selection brackets ``[]``. For both
+the part before and after the comma, you can use a single label, a list
+of labels, a slice of labels, a conditional expression or a colon. Using
+a colon specificies you want to select all rows or columns.
+
+.. raw:: html
+
+ <ul class="task-bullet">
+ <li>
+
+I’m interested in rows 10 till 25 and columns 3 to 5.
+
+.. ipython:: python
+
+ titanic.iloc[9:25, 2:5]
+
+Again, a subset of both rows and columns is made in one go and just
+using selection brackets ``[]`` is not sufficient anymore. When
+specifically interested in certain rows and/or columns based on their
+position in the table, use the ``iloc`` operator in front of the
+selection brackets ``[]``.
+
+.. raw:: html
+
+ </li>
+ </ul>
+
+When selecting specific rows and/or columns with ``loc`` or ``iloc``,
+new values can be assigned to the selected data. For example, to assign
+the name ``anonymous`` to the first 3 elements of the third column:
+
+.. ipython:: python
+
+ titanic.iloc[0:3, 3] = "anonymous"
+ titanic.head()
+
+.. raw:: html
+
+ <div class="d-flex flex-row gs-torefguide">
+ <span class="badge badge-info">To user guide</span>
+
+See the user guide section on :ref:`different choices for indexing <indexing.choice>` to get more insight in the usage of ``loc`` and ``iloc``.
+
+.. raw:: html
+
+ </div>
+
+.. raw:: html
+
+ <div class="shadow gs-callout gs-callout-remember">
+ <h4>REMEMBER</h4>
+
+- When selecting subsets of data, square brackets ``[]`` are used.
+- Inside these brackets, you can use a single column/row label, a list
+ of column/row labels, a slice of labels, a conditional expression or
+ a colon.
+- Select specific rows and/or columns using ``loc`` when using the row
+ and column names
+- Select specific rows and/or columns using ``iloc`` when using the
+ positions in the table
+- You can assign new values to a selection based on ``loc``/``iloc``.
+
+.. raw:: html
+
+ </div>
+
+.. raw:: html
+
+ <div class="d-flex flex-row gs-torefguide">
+ <span class="badge badge-info">To user guide</span>
+
+A full overview about indexing is provided in the user guide pages on :ref:`indexing and selecting data <indexing>`.
+
+.. raw:: html
+
+ </div>
diff --git a/doc/source/getting_started/intro_tutorials/04_plotting.rst b/doc/source/getting_started/intro_tutorials/04_plotting.rst
new file mode 100644
index 0000000000000..f3d99ee56359a
--- /dev/null
+++ b/doc/source/getting_started/intro_tutorials/04_plotting.rst
@@ -0,0 +1,252 @@
+.. _10min_tut_04_plotting:
+
+{{ header }}
+
+.. ipython:: python
+
+ import pandas as pd
+ import matplotlib.pyplot as plt
+
+.. raw:: html
+
+ <div class="card gs-data">
+ <div class="card-header">
+ <div class="gs-data-title">
+ Data used for this tutorial:
+ </div>
+ </div>
+ <ul class="list-group list-group-flush">
+ <li class="list-group-item">
+ <div data-toggle="collapse" href="#collapsedata" role="button" aria-expanded="false" aria-controls="collapsedata">
+ <span class="badge badge-dark">Air quality data</span>
+ </div>
+ <div class="collapse" id="collapsedata">
+ <div class="card-body">
+ <p class="card-text">
+
+For this tutorial, air quality data about :math:`NO_2` is used, made
+available by `openaq <https://openaq.org>`__ and using the
+`py-openaq <http://dhhagan.github.io/py-openaq/index.html>`__ package.
+The ``air_quality_no2.csv`` data set provides :math:`NO_2` values for
+the measurement stations *FR04014*, *BETR801* and *London Westminster*
+in respectively Paris, Antwerp and London.
+
+.. raw:: html
+
+ </p>
+ <a href="https://github.com/pandas-dev/pandas/tree/master/doc/data/air_quality_no2.csv" class="btn btn-dark btn-sm">To raw data</a>
+ </div>
+ </div>
+
+.. ipython:: python
+
+ air_quality = pd.read_csv("data/air_quality_no2.csv",
+ index_col=0, parse_dates=True)
+ air_quality.head()
+
+.. note::
+ The usage of the ``index_col`` and ``parse_dates`` parameters of the ``read_csv`` function to define the first (0th) column as
+ index of the resulting ``DataFrame`` and convert the dates in the column to :class:`Timestamp` objects, respectively.
+
+.. raw:: html
+
+ </li>
+ </ul>
+ </div>
+
+How to create plots in pandas?
+------------------------------
+
+.. image:: ../../_static/schemas/04_plot_overview.svg
+ :align: center
+
+.. raw:: html
+
+ <ul class="task-bullet">
+ <li>
+
+I want a quick visual check of the data.
+
+.. ipython:: python
+
+ @savefig 04_airqual_quick.png
+ air_quality.plot()
+
+With a ``DataFrame``, pandas creates by default one line plot for each of
+the columns with numeric data.
+
+.. raw:: html
+
+ </li>
+ </ul>
+
+.. raw:: html
+
+ <ul class="task-bullet">
+ <li>
+
+I want to plot only the columns of the data table with the data from Paris.
+
+.. ipython:: python
+
+ @savefig 04_airqual_paris.png
+ air_quality["station_paris"].plot()
+
+To plot a specific column, use the selection method of the
+:ref:`subset data tutorial <10min_tut_03_subset>` in combination with the :meth:`~DataFrame.plot`
+method. Hence, the :meth:`~DataFrame.plot` method works on both ``Series`` and
+``DataFrame``.
+
+.. raw:: html
+
+ </li>
+ </ul>
+
+.. raw:: html
+
+ <ul class="task-bullet">
+ <li>
+
+I want to visually compare the :math:`N0_2` values measured in London versus Paris.
+
+.. ipython:: python
+
+ @savefig 04_airqual_scatter.png
+ air_quality.plot.scatter(x="station_london",
+ y="station_paris",
+ alpha=0.5)
+
+.. raw:: html
+
+ </li>
+ </ul>
+
+Apart from the default ``line`` plot when using the ``plot`` function, a
+number of alternatives are available to plot data. Let’s use some
+standard Python to get an overview of the available plot methods:
+
+.. ipython:: python
+
+ [method_name for method_name in dir(air_quality.plot)
+ if not method_name.startswith("_")]
+
+.. note::
+ In many development environments as well as ipython and
+ jupyter notebook, use the TAB button to get an overview of the available
+ methods, for example ``air_quality.plot.`` + TAB.
+
+One of the options is :meth:`DataFrame.plot.box`, which refers to a
+`boxplot <https://en.wikipedia.org/wiki/Box_plot>`__. The ``box``
+method is applicable on the air quality example data:
+
+.. ipython:: python
+
+ @savefig 04_airqual_boxplot.png
+ air_quality.plot.box()
+
+.. raw:: html
+
+ <div class="d-flex flex-row gs-torefguide">
+ <span class="badge badge-info">To user guide</span>
+
+For an introduction to plots other than the default line plot, see the user guide section about :ref:`supported plot styles <visualization.other>`.
+
+.. raw:: html
+
+ </div>
+
+.. raw:: html
+
+ <ul class="task-bullet">
+ <li>
+
+I want each of the columns in a separate subplot.
+
+.. ipython:: python
+
+ @savefig 04_airqual_area_subplot.png
+ axs = air_quality.plot.area(figsize=(12, 4), subplots=True)
+
+Separate subplots for each of the data columns is supported by the ``subplots`` argument
+of the ``plot`` functions. The builtin options available in each of the pandas plot
+functions that are worthwhile to have a look.
+
+.. raw:: html
+
+ </li>
+ </ul>
+
+.. raw:: html
+
+ <div class="d-flex flex-row gs-torefguide">
+ <span class="badge badge-info">To user guide</span>
+
+Some more formatting options are explained in the user guide section on :ref:`plot formatting <visualization.formatting>`.
+
+.. raw:: html
+
+ </div>
+
+.. raw:: html
+
+ <ul class="task-bullet">
+ <li>
+
+I want to further customize, extend or save the resulting plot.
+
+.. ipython:: python
+
+ fig, axs = plt.subplots(figsize=(12, 4));
+ air_quality.plot.area(ax=axs);
+ @savefig 04_airqual_customized.png
+ axs.set_ylabel("NO$_2$ concentration");
+ fig.savefig("no2_concentrations.png")
+
+.. ipython:: python
+ :suppress:
+
+ import os
+ os.remove('no2_concentrations.png')
+
+.. raw:: html
+
+ </li>
+ </ul>
+
+Each of the plot objects created by pandas are a
+`matplotlib <https://matplotlib.org/>`__ object. As Matplotlib provides
+plenty of options to customize plots, making the link between pandas and
+Matplotlib explicit enables all the power of matplotlib to the plot.
+This strategy is applied in the previous example:
+
+::
+
+ fig, axs = plt.subplots(figsize=(12, 4)) # Create an empty matplotlib Figure and Axes
+ air_quality.plot.area(ax=axs) # Use pandas to put the area plot on the prepared Figure/Axes
+ axs.set_ylabel("NO$_2$ concentration") # Do any matplotlib customization you like
+ fig.savefig("no2_concentrations.png") # Save the Figure/Axes using the existing matplotlib method.
+
+.. raw:: html
+
+ <div class="shadow gs-callout gs-callout-remember">
+ <h4>REMEMBER</h4>
+
+- The ``.plot.*`` methods are applicable on both Series and DataFrames
+- By default, each of the columns is plotted as a different element
+ (line, boxplot,…)
+- Any plot created by pandas is a Matplotlib object.
+
+.. raw:: html
+
+ </div>
+
+.. raw:: html
+
+ <div class="d-flex flex-row gs-torefguide">
+ <span class="badge badge-info">To user guide</span>
+
+A full overview of plotting in pandas is provided in the :ref:`visualization pages <visualization>`.
+
+.. raw:: html
+
+ </div>
diff --git a/doc/source/getting_started/intro_tutorials/05_add_columns.rst b/doc/source/getting_started/intro_tutorials/05_add_columns.rst
new file mode 100644
index 0000000000000..d4f6a8d6bb4a2
--- /dev/null
+++ b/doc/source/getting_started/intro_tutorials/05_add_columns.rst
@@ -0,0 +1,186 @@
+.. _10min_tut_05_columns:
+
+{{ header }}
+
+.. ipython:: python
+
+ import pandas as pd
+
+.. raw:: html
+
+ <div class="card gs-data">
+ <div class="card-header">
+ <div class="gs-data-title">
+ Data used for this tutorial:
+ </div>
+ </div>
+ <ul class="list-group list-group-flush">
+ <li class="list-group-item">
+ <div data-toggle="collapse" href="#collapsedata" role="button" aria-expanded="false" aria-controls="collapsedata">
+ <span class="badge badge-dark">Air quality data</span>
+ </div>
+ <div class="collapse" id="collapsedata">
+ <div class="card-body">
+ <p class="card-text">
+
+For this tutorial, air quality data about :math:`NO_2` is used, made
+available by `openaq <https://openaq.org>`__ and using the
+`py-openaq <http://dhhagan.github.io/py-openaq/index.html>`__ package.
+The ``air_quality_no2.csv`` data set provides :math:`NO_2` values for
+the measurement stations *FR04014*, *BETR801* and *London Westminster*
+in respectively Paris, Antwerp and London.
+
+.. raw:: html
+
+ </p>
+ <a href="https://github.com/pandas-dev/pandas/tree/master/doc/data/air_quality_no2.csv" class="btn btn-dark btn-sm">To raw data</a>
+ </div>
+ </div>
+
+.. ipython:: python
+
+ air_quality = pd.read_csv("data/air_quality_no2.csv",
+ index_col=0, parse_dates=True)
+ air_quality.head()
+
+.. raw:: html
+
+ </li>
+ </ul>
+ </div>
+
+How to create new columns derived from existing columns?
+--------------------------------------------------------
+
+.. image:: ../../_static/schemas/05_newcolumn_1.svg
+ :align: center
+
+.. raw:: html
+
+ <ul class="task-bullet">
+ <li>
+
+I want to express the :math:`NO_2` concentration of the station in London in mg/m\ :math:`^3`
+
+(*If we assume temperature of 25 degrees Celsius and pressure of 1013
+hPa, the conversion factor is 1.882*)
+
+.. ipython:: python
+
+ air_quality["london_mg_per_cubic"] = air_quality["station_london"] * 1.882
+ air_quality.head()
+
+To create a new column, use the ``[]`` brackets with the new column name
+at the left side of the assignment.
+
+.. raw:: html
+
+ </li>
+ </ul>
+
+.. note::
+ The calculation of the values is done **element_wise**. This
+ means all values in the given column are multiplied by the value 1.882
+ at once. You do not need to use a loop to iterate each of the rows!
+
+.. image:: ../../_static/schemas/05_newcolumn_2.svg
+ :align: center
+
+.. raw:: html
+
+ <ul class="task-bullet">
+ <li>
+
+I want to check the ratio of the values in Paris versus Antwerp and save the result in a new column
+
+.. ipython:: python
+
+ air_quality["ratio_paris_antwerp"] = \
+ air_quality["station_paris"] / air_quality["station_antwerp"]
+ air_quality.head()
+
+The calculation is again element-wise, so the ``/`` is applied *for the
+values in each row*.
+
+.. raw:: html
+
+ </li>
+ </ul>
+
+Also other mathematical operators (+, -, \*, /) or
+logical operators (<, >, =,…) work element wise. The latter was already
+used in the :ref:`subset data tutorial <10min_tut_03_subset>` to filter
+rows of a table using a conditional expression.
+
+.. raw:: html
+
+ <ul class="task-bullet">
+ <li>
+
+I want to rename the data columns to the corresponding station identifiers used by openAQ
+
+.. ipython:: python
+
+ air_quality_renamed = air_quality.rename(
+ columns={"station_antwerp": "BETR801",
+ "station_paris": "FR04014",
+ "station_london": "London Westminster"})
+
+.. ipython:: python
+
+ air_quality_renamed.head()
+
+The :meth:`~DataFrame.rename` function can be used for both row labels and column
+labels. Provide a dictionary with the keys the current names and the
+values the new names to update the corresponding names.
+
+.. raw:: html
+
+ </li>
+ </ul>
+
+The mapping should not be restricted to fixed names only, but can be a
+mapping function as well. For example, converting the column names to
+lowercase letters can be done using a function as well:
+
+.. ipython:: python
+
+ air_quality_renamed = air_quality_renamed.rename(columns=str.lower)
+ air_quality_renamed.head()
+
+.. raw:: html
+
+ <div class="d-flex flex-row gs-torefguide">
+ <span class="badge badge-info">To user guide</span>
+
+Details about column or row label renaming is provided in the user guide section on :ref:`renaming labels <basics.rename>`.
+
+.. raw:: html
+
+ </div>
+
+.. raw:: html
+
+ <div class="shadow gs-callout gs-callout-remember">
+ <h4>REMEMBER</h4>
+
+- Create a new column by assigning the output to the DataFrame with a
+ new column name in between the ``[]``.
+- Operations are element-wise, no need to loop over rows.
+- Use ``rename`` with a dictionary or function to rename row labels or
+ column names.
+
+.. raw:: html
+
+ </div>
+
+.. raw:: html
+
+ <div class="d-flex flex-row gs-torefguide">
+ <span class="badge badge-info">To user guide</span>
+
+The user guide contains a separate section on :ref:`column addition and deletion <basics.dataframe.sel_add_del>`.
+
+.. raw:: html
+
+ </div>
diff --git a/doc/source/getting_started/intro_tutorials/06_calculate_statistics.rst b/doc/source/getting_started/intro_tutorials/06_calculate_statistics.rst
new file mode 100644
index 0000000000000..7a94c90525027
--- /dev/null
+++ b/doc/source/getting_started/intro_tutorials/06_calculate_statistics.rst
@@ -0,0 +1,310 @@
+.. _10min_tut_06_stats:
+
+{{ header }}
+
+.. ipython:: python
+
+ import pandas as pd
+
+.. raw:: html
+
+ <div class="card gs-data">
+ <div class="card-header">
+ <div class="gs-data-title">
+ Data used for this tutorial:
+ </div>
+ </div>
+ <ul class="list-group list-group-flush">
+ <li class="list-group-item">
+ <div data-toggle="collapse" href="#collapsedata" role="button" aria-expanded="false" aria-controls="collapsedata">
+ <span class="badge badge-dark">Titanic data</span>
+ </div>
+ <div class="collapse" id="collapsedata">
+ <div class="card-body">
+ <p class="card-text">
+
+This tutorial uses the titanic data set, stored as CSV. The data
+consists of the following data columns:
+
+- PassengerId: Id of every passenger.
+- Survived: This feature have value 0 and 1. 0 for not survived and 1
+ for survived.
+- Pclass: There are 3 classes: Class 1, Class 2 and Class 3.
+- Name: Name of passenger.
+- Sex: Gender of passenger.
+- Age: Age of passenger.
+- SibSp: Indication that passenger have siblings and spouse.
+- Parch: Whether a passenger is alone or have family.
+- Ticket: Ticket number of passenger.
+- Fare: Indicating the fare.
+- Cabin: The cabin of passenger.
+- Embarked: The embarked category.
+
+.. raw:: html
+
+ </p>
+ <a href="https://github.com/pandas-dev/pandas/tree/master/doc/data/titanic.csv" class="btn btn-dark btn-sm">To raw data</a>
+ </div>
+ </div>
+
+.. ipython:: python
+
+ titanic = pd.read_csv("data/titanic.csv")
+ titanic.head()
+
+.. raw:: html
+
+ </li>
+ </ul>
+ </div>
+
+How to calculate summary statistics?
+------------------------------------
+
+Aggregating statistics
+~~~~~~~~~~~~~~~~~~~~~~
+
+.. image:: ../../_static/schemas/06_aggregate.svg
+ :align: center
+
+.. raw:: html
+
+ <ul class="task-bullet">
+ <li>
+
+What is the average age of the titanic passengers?
+
+.. ipython:: python
+
+ titanic["Age"].mean()
+
+.. raw:: html
+
+ </li>
+ </ul>
+
+Different statistics are available and can be applied to columns with
+numerical data. Operations in general exclude missing data and operate
+across rows by default.
+
+.. image:: ../../_static/schemas/06_reduction.svg
+ :align: center
+
+.. raw:: html
+
+ <ul class="task-bullet">
+ <li>
+
+What is the median age and ticket fare price of the titanic passengers?
+
+.. ipython:: python
+
+ titanic[["Age", "Fare"]].median()
+
+The statistic applied to multiple columns of a ``DataFrame`` (the selection of two columns
+return a ``DataFrame``, see the :ref:`subset data tutorial <10min_tut_03_subset>`) is calculated for each numeric column.
+
+.. raw:: html
+
+ </li>
+ </ul>
+
+The aggregating statistic can be calculated for multiple columns at the
+same time. Remember the ``describe`` function from :ref:`first tutorial <10min_tut_01_tableoriented>` tutorial?
+
+.. ipython:: python
+
+ titanic[["Age", "Fare"]].describe()
+
+Instead of the predefined statistics, specific combinations of
+aggregating statistics for given columns can be defined using the
+:func:`DataFrame.agg` method:
+
+.. ipython:: python
+
+ titanic.agg({'Age': ['min', 'max', 'median', 'skew'],
+ 'Fare': ['min', 'max', 'median', 'mean']})
+
+.. raw:: html
+
+ <div class="d-flex flex-row gs-torefguide">
+ <span class="badge badge-info">To user guide</span>
+
+Details about descriptive statistics are provided in the user guide section on :ref:`descriptive statistics <basics.stats>`.
+
+.. raw:: html
+
+ </div>
+
+
+Aggregating statistics grouped by category
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+.. image:: ../../_static/schemas/06_groupby.svg
+ :align: center
+
+.. raw:: html
+
+ <ul class="task-bullet">
+ <li>
+
+What is the average age for male versus female titanic passengers?
+
+.. ipython:: python
+
+ titanic[["Sex", "Age"]].groupby("Sex").mean()
+
+As our interest is the average age for each gender, a subselection on
+these two columns is made first: ``titanic[["Sex", "Age"]]``. Next, the
+:meth:`~DataFrame.groupby` method is applied on the ``Sex`` column to make a group per
+category. The average age *for each gender* is calculated and
+returned.
+
+.. raw:: html
+
+ </li>
+ </ul>
+
+Calculating a given statistic (e.g. ``mean`` age) *for each category in
+a column* (e.g. male/female in the ``Sex`` column) is a common pattern.
+The ``groupby`` method is used to support this type of operations. More
+general, this fits in the more general ``split-apply-combine`` pattern:
+
+- **Split** the data into groups
+- **Apply** a function to each group independently
+- **Combine** the results into a data structure
+
+The apply and combine steps are typically done together in pandas.
+
+In the previous example, we explicitly selected the 2 columns first. If
+not, the ``mean`` method is applied to each column containing numerical
+columns:
+
+.. ipython:: python
+
+ titanic.groupby("Sex").mean()
+
+It does not make much sense to get the average value of the ``Pclass``.
+if we are only interested in the average age for each gender, the
+selection of columns (rectangular brackets ``[]`` as usual) is supported
+on the grouped data as well:
+
+.. ipython:: python
+
+ titanic.groupby("Sex")["Age"].mean()
+
+.. image:: ../../_static/schemas/06_groupby_select_detail.svg
+ :align: center
+
+.. note::
+ The `Pclass` column contains numerical data but actually
+ represents 3 categories (or factors) with respectively the labels ‘1’,
+ ‘2’ and ‘3’. Calculating statistics on these does not make much sense.
+ Therefore, pandas provides a ``Categorical`` data type to handle this
+ type of data. More information is provided in the user guide
+ :ref:`categorical` section.
+
+.. raw:: html
+
+ <ul class="task-bullet">
+ <li>
+
+What is the mean ticket fare price for each of the sex and cabin class combinations?
+
+.. ipython:: python
+
+ titanic.groupby(["Sex", "Pclass"])["Fare"].mean()
+
+Grouping can be done by multiple columns at the same time. Provide the
+column names as a list to the :meth:`~DataFrame.groupby` method.
+
+.. raw:: html
+
+ </li>
+ </ul>
+
+.. raw:: html
+
+ <div class="d-flex flex-row gs-torefguide">
+ <span class="badge badge-info">To user guide</span>
+
+A full description on the split-apply-combine approach is provided in the user guide section on :ref:`groupby operations <groupby>`.
+
+.. raw:: html
+
+ </div>
+
+Count number of records by category
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+.. image:: ../../_static/schemas/06_valuecounts.svg
+ :align: center
+
+.. raw:: html
+
+ <ul class="task-bullet">
+ <li>
+
+What is the number of passengers in each of the cabin classes?
+
+.. ipython:: python
+
+ titanic["Pclass"].value_counts()
+
+The :meth:`~Series.value_counts` method counts the number of records for each
+category in a column.
+
+.. raw:: html
+
+ </li>
+ </ul>
+
+The function is a shortcut, as it is actually a groupby operation in combination with counting of the number of records
+within each group:
+
+.. ipython:: python
+
+ titanic.groupby("Pclass")["Pclass"].count()
+
+.. note::
+ Both ``size`` and ``count`` can be used in combination with
+ ``groupby``. Whereas ``size`` includes ``NaN`` values and just provides
+ the number of rows (size of the table), ``count`` excludes the missing
+ values. In the ``value_counts`` method, use the ``dropna`` argument to
+ include or exclude the ``NaN`` values.
+
+.. raw:: html
+
+ <div class="d-flex flex-row gs-torefguide">
+ <span class="badge badge-info">To user guide</span>
+
+The user guide has a dedicated section on ``value_counts`` , see page on :ref:`discretization <basics.discretization>`.
+
+.. raw:: html
+
+ </div>
+
+.. raw:: html
+
+ <div class="shadow gs-callout gs-callout-remember">
+ <h4>REMEMBER</h4>
+
+- Aggregation statistics can be calculated on entire columns or rows
+- ``groupby`` provides the power of the *split-apply-combine* pattern
+- ``value_counts`` is a convenient shortcut to count the number of
+ entries in each category of a variable
+
+.. raw:: html
+
+ </div>
+
+.. raw:: html
+
+ <div class="d-flex flex-row gs-torefguide">
+ <span class="badge badge-info">To user guide</span>
+
+A full description on the split-apply-combine approach is provided in the user guide pages about :ref:`groupby operations <groupby>`.
+
+.. raw:: html
+
+ </div>
diff --git a/doc/source/getting_started/intro_tutorials/07_reshape_table_layout.rst b/doc/source/getting_started/intro_tutorials/07_reshape_table_layout.rst
new file mode 100644
index 0000000000000..b28a9012a4ad9
--- /dev/null
+++ b/doc/source/getting_started/intro_tutorials/07_reshape_table_layout.rst
@@ -0,0 +1,404 @@
+.. _10min_tut_07_reshape:
+
+{{ header }}
+
+.. ipython:: python
+
+ import pandas as pd
+
+.. raw:: html
+
+ <div class="card gs-data">
+ <div class="card-header">
+ <div class="gs-data-title">
+ Data used for this tutorial:
+ </div>
+ </div>
+ <ul class="list-group list-group-flush">
+ <li class="list-group-item">
+ <div data-toggle="collapse" href="#collapsedata" role="button" aria-expanded="false" aria-controls="collapsedata">
+ <span class="badge badge-dark">Titanic data</span>
+ </div>
+ <div class="collapse" id="collapsedata">
+ <div class="card-body">
+ <p class="card-text">
+
+This tutorial uses the titanic data set, stored as CSV. The data
+consists of the following data columns:
+
+- PassengerId: Id of every passenger.
+- Survived: This feature have value 0 and 1. 0 for not survived and 1
+ for survived.
+- Pclass: There are 3 classes: Class 1, Class 2 and Class 3.
+- Name: Name of passenger.
+- Sex: Gender of passenger.
+- Age: Age of passenger.
+- SibSp: Indication that passenger have siblings and spouse.
+- Parch: Whether a passenger is alone or have family.
+- Ticket: Ticket number of passenger.
+- Fare: Indicating the fare.
+- Cabin: The cabin of passenger.
+- Embarked: The embarked category.
+
+.. raw:: html
+
+ </p>
+ <a href="https://github.com/pandas-dev/pandas/tree/master/doc/data/titanic.csv" class="btn btn-dark btn-sm">To raw data</a>
+ </div>
+ </div>
+
+.. ipython:: python
+
+ titanic = pd.read_csv("data/titanic.csv")
+ titanic.head()
+
+.. raw:: html
+
+ </li>
+ <li class="list-group-item">
+ <div data-toggle="collapse" href="#collapsedata2" role="button" aria-expanded="false" aria-controls="collapsedata2">
+ <span class="badge badge-dark">Air quality data</span>
+ </div>
+ <div class="collapse" id="collapsedata2">
+ <div class="card-body">
+ <p class="card-text">
+
+This tutorial uses air quality data about :math:`NO_2` and Particulate matter less than 2.5
+micrometers, made available by
+`openaq <https://openaq.org>`__ and using the
+`py-openaq <http://dhhagan.github.io/py-openaq/index.html>`__ package.
+The ``air_quality_long.csv`` data set provides :math:`NO_2` and
+:math:`PM_{25}` values for the measurement stations *FR04014*, *BETR801*
+and *London Westminster* in respectively Paris, Antwerp and London.
+
+The air-quality data set has the following columns:
+
+- city: city where the sensor is used, either Paris, Antwerp or London
+- country: country where the sensor is used, either FR, BE or GB
+- location: the id of the sensor, either *FR04014*, *BETR801* or
+ *London Westminster*
+- parameter: the parameter measured by the sensor, either :math:`NO_2`
+ or Particulate matter
+- value: the measured value
+- unit: the unit of the measured parameter, in this case ‘µg/m³’
+
+and the index of the ``DataFrame`` is ``datetime``, the datetime of the
+measurement.
+
+.. note::
+ The air-quality data is provided in a so-called *long format*
+ data representation with each observation on a separate row and each
+ variable a separate column of the data table. The long/narrow format is
+ also known as the `tidy data
+ format <https://www.jstatsoft.org/article/view/v059i10>`__.
+
+.. raw:: html
+
+ </p>
+ <a href="https://github.com/pandas-dev/pandas/tree/master/doc/data/air_quality_long.csv" class="btn btn-dark btn-sm">To raw data</a>
+ </div>
+ </div>
+
+.. ipython:: python
+
+ air_quality = pd.read_csv("data/air_quality_long.csv",
+ index_col="date.utc", parse_dates=True)
+ air_quality.head()
+
+.. raw:: html
+
+ </li>
+ </ul>
+ </div>
+
+How to reshape the layout of tables?
+------------------------------------
+
+Sort table rows
+~~~~~~~~~~~~~~~
+
+.. raw:: html
+
+ <ul class="task-bullet">
+ <li>
+
+I want to sort the titanic data according to the age of the passengers.
+
+.. ipython:: python
+
+ titanic.sort_values(by="Age").head()
+
+.. raw:: html
+
+ </li>
+ </ul>
+
+.. raw:: html
+
+ <ul class="task-bullet">
+ <li>
+
+I want to sort the titanic data according to the cabin class and age in descending order.
+
+.. ipython:: python
+
+ titanic.sort_values(by=['Pclass', 'Age'], ascending=False).head()
+
+With :meth:`Series.sort_values`, the rows in the table are sorted according to the
+defined column(s). The index will follow the row order.
+
+.. raw:: html
+
+ </li>
+ </ul>
+
+.. raw:: html
+
+ <div class="d-flex flex-row gs-torefguide">
+ <span class="badge badge-info">To user guide</span>
+
+More details about sorting of tables is provided in the using guide section on :ref:`sorting data <basics.sorting>`.
+
+.. raw:: html
+
+ </div>
+
+Long to wide table format
+~~~~~~~~~~~~~~~~~~~~~~~~~
+
+Let’s use a small subset of the air quality data set. We focus on
+:math:`NO_2` data and only use the first two measurements of each
+location (i.e. the head of each group). The subset of data will be
+called ``no2_subset``
+
+.. ipython:: python
+
+ # filter for no2 data only
+ no2 = air_quality[air_quality["parameter"] == "no2"]
+
+.. ipython:: python
+
+ # use 2 measurements (head) for each location (groupby)
+ no2_subset = no2.sort_index().groupby(["location"]).head(2)
+ no2_subset
+
+.. image:: ../../_static/schemas/07_pivot.svg
+ :align: center
+
+.. raw:: html
+
+ <ul class="task-bullet">
+ <li>
+
+I want the values for the three stations as separate columns next to each other
+
+.. ipython:: python
+
+ no2_subset.pivot(columns="location", values="value")
+
+The :meth:`~pandas.pivot_table` function is purely reshaping of the data: a single value
+for each index/column combination is required.
+
+.. raw:: html
+
+ </li>
+ </ul>
+
+As pandas support plotting of multiple columns (see :ref:`plotting tutorial <10min_tut_04_plotting>`) out of the box, the conversion from
+*long* to *wide* table format enables the plotting of the different time
+series at the same time:
+
+.. ipython:: python
+
+ no2.head()
+
+.. ipython:: python
+
+ @savefig 7_reshape_columns.png
+ no2.pivot(columns="location", values="value").plot()
+
+.. note::
+ When the ``index`` parameter is not defined, the existing
+ index (row labels) is used.
+
+.. raw:: html
+
+ <div class="d-flex flex-row gs-torefguide">
+ <span class="badge badge-info">To user guide</span>
+
+For more information about :meth:`~DataFrame.pivot`, see the user guide section on :ref:`pivoting DataFrame objects <reshaping.reshaping>`.
+
+.. raw:: html
+
+ </div>
+
+Pivot table
+~~~~~~~~~~~
+
+.. image:: ../../_static/schemas/07_pivot_table.svg
+ :align: center
+
+.. raw:: html
+
+ <ul class="task-bullet">
+ <li>
+
+I want the mean concentrations for :math:`NO_2` and :math:`PM_{2.5}` in each of the stations in table form
+
+.. ipython:: python
+
+ air_quality.pivot_table(values="value", index="location",
+ columns="parameter", aggfunc="mean")
+
+In the case of :meth:`~DataFrame.pivot`, the data is only rearranged. When multiple
+values need to be aggregated (in this specific case, the values on
+different time steps) :meth:`~DataFrame.pivot_table` can be used, providing an
+aggregation function (e.g. mean) on how to combine these values.
+
+.. raw:: html
+
+ </li>
+ </ul>
+
+Pivot table is a well known concept in spreadsheet software. When
+interested in summary columns for each variable separately as well, put
+the ``margin`` parameter to ``True``:
+
+.. ipython:: python
+
+ air_quality.pivot_table(values="value", index="location",
+ columns="parameter", aggfunc="mean",
+ margins=True)
+
+.. raw:: html
+
+ <div class="d-flex flex-row gs-torefguide">
+ <span class="badge badge-info">To user guide</span>
+
+For more information about :meth:`~DataFrame.pivot_table`, see the user guide section on :ref:`pivot tables <reshaping.pivot>`.
+
+.. raw:: html
+
+ </div>
+
+.. note::
+ If case you are wondering, :meth:`~DataFrame.pivot_table` is indeed directly linked
+ to :meth:`~DataFrame.groupby`. The same result can be derived by grouping on both
+ ``parameter`` and ``location``:
+
+ ::
+
+ air_quality.groupby(["parameter", "location"]).mean()
+
+.. raw:: html
+
+ <div class="d-flex flex-row gs-torefguide">
+ <span class="badge badge-info">To user guide</span>
+
+Have a look at :meth:`~DataFrame.groupby` in combination with :meth:`~DataFrame.unstack` at the user guide section on :ref:`combining stats and groupby <reshaping.combine_with_groupby>`.
+
+.. raw:: html
+
+ </div>
+
+Wide to long format
+~~~~~~~~~~~~~~~~~~~
+
+Starting again from the wide format table created in the previous
+section:
+
+.. ipython:: python
+
+ no2_pivoted = no2.pivot(columns="location", values="value").reset_index()
+ no2_pivoted.head()
+
+.. image:: ../../_static/schemas/07_melt.svg
+ :align: center
+
+.. raw:: html
+
+ <ul class="task-bullet">
+ <li>
+
+I want to collect all air quality :math:`NO_2` measurements in a single column (long format)
+
+.. ipython:: python
+
+ no_2 = no2_pivoted.melt(id_vars="date.utc")
+ no_2.head()
+
+The :func:`pandas.melt` method on a ``DataFrame`` converts the data table from wide
+format to long format. The column headers become the variable names in a
+newly created column.
+
+.. raw:: html
+
+ </li>
+ </ul>
+
+The solution is the short version on how to apply :func:`pandas.melt`. The method
+will *melt* all columns NOT mentioned in ``id_vars`` together into two
+columns: A columns with the column header names and a column with the
+values itself. The latter column gets by default the name ``value``.
+
+The :func:`pandas.melt` method can be defined in more detail:
+
+.. ipython:: python
+
+ no_2 = no2_pivoted.melt(id_vars="date.utc",
+ value_vars=["BETR801",
+ "FR04014",
+ "London Westminster"],
+ value_name="NO_2",
+ var_name="id_location")
+ no_2.head()
+
+The result in the same, but in more detail defined:
+
+- ``value_vars`` defines explicitly which columns to *melt* together
+- ``value_name`` provides a custom column name for the values column
+ instead of the default columns name ``value``
+- ``var_name`` provides a custom column name for the columns collecting
+ the column header names. Otherwise it takes the index name or a
+ default ``variable``
+
+Hence, the arguments ``value_name`` and ``var_name`` are just
+user-defined names for the two generated columns. The columns to melt
+are defined by ``id_vars`` and ``value_vars``.
+
+.. raw:: html
+
+ <div class="d-flex flex-row gs-torefguide">
+ <span class="badge badge-info">To user guide</span>
+
+Conversion from wide to long format with :func:`pandas.melt` is explained in the user guide section on :ref:`reshaping by melt <reshaping.melt>`.
+
+.. raw:: html
+
+ </div>
+
+.. raw:: html
+
+ <div class="shadow gs-callout gs-callout-remember">
+ <h4>REMEMBER</h4>
+
+- Sorting by one or more columns is supported by ``sort_values``
+- The ``pivot`` function is purely restructering of the data,
+ ``pivot_table`` supports aggregations
+- The reverse of ``pivot`` (long to wide format) is ``melt`` (wide to
+ long format)
+
+.. raw:: html
+
+ </div>
+
+.. raw:: html
+
+ <div class="d-flex flex-row gs-torefguide">
+ <span class="badge badge-info">To user guide</span>
+
+A full overview is available in the user guide on the pages about :ref:`reshaping and pivoting <reshaping>`.
+
+.. raw:: html
+
+ </div>
diff --git a/doc/source/getting_started/intro_tutorials/08_combine_dataframes.rst b/doc/source/getting_started/intro_tutorials/08_combine_dataframes.rst
new file mode 100644
index 0000000000000..f317e7a1f91b4
--- /dev/null
+++ b/doc/source/getting_started/intro_tutorials/08_combine_dataframes.rst
@@ -0,0 +1,326 @@
+.. _10min_tut_08_combine:
+
+{{ header }}
+
+.. ipython:: python
+
+ import pandas as pd
+
+.. raw:: html
+
+ <div class="card gs-data">
+ <div class="card-header">
+ <div class="gs-data-title">
+ Data used for this tutorial:
+ </div>
+ </div>
+ <ul class="list-group list-group-flush">
+ <li class="list-group-item">
+ <div data-toggle="collapse" href="#collapsedata" role="button" aria-expanded="false" aria-controls="collapsedata">
+ <span class="badge badge-dark">Air quality Nitrate data</span>
+ </div>
+ <div class="collapse" id="collapsedata">
+ <div class="card-body">
+ <p class="card-text">
+
+For this tutorial, air quality data about :math:`NO_2` is used, made available by
+`openaq <https://openaq.org>`__ and downloaded using the
+`py-openaq <http://dhhagan.github.io/py-openaq/index.html>`__ package.
+
+The ``air_quality_no2_long.csv`` data set provides :math:`NO_2`
+values for the measurement stations *FR04014*, *BETR801* and *London
+Westminster* in respectively Paris, Antwerp and London.
+
+.. raw:: html
+
+ </p>
+ <a href="https://github.com/pandas-dev/pandas/tree/master/doc/data/air_quality_no2_long.csv" class="btn btn-dark btn-sm">To raw data</a>
+ </div>
+ </div>
+
+.. ipython:: python
+
+ air_quality_no2 = pd.read_csv("data/air_quality_no2_long.csv",
+ parse_dates=True)
+ air_quality_no2 = air_quality_no2[["date.utc", "location",
+ "parameter", "value"]]
+ air_quality_no2.head()
+
+.. raw:: html
+
+ </li>
+ <li class="list-group-item">
+ <div data-toggle="collapse" href="#collapsedata2" role="button" aria-expanded="false" aria-controls="collapsedata2">
+ <span class="badge badge-dark">Air quality Particulate matter data</span>
+ </div>
+ <div class="collapse" id="collapsedata2">
+ <div class="card-body">
+ <p class="card-text">
+
+For this tutorial, air quality data about Particulate
+matter less than 2.5 micrometers is used, made available by
+`openaq <https://openaq.org>`__ and downloaded using the
+`py-openaq <http://dhhagan.github.io/py-openaq/index.html>`__ package.
+
+The ``air_quality_pm25_long.csv`` data set provides :math:`PM_{25}`
+values for the measurement stations *FR04014*, *BETR801* and *London
+Westminster* in respectively Paris, Antwerp and London.
+
+.. raw:: html
+
+ </p>
+ <a href="https://github.com/pandas-dev/pandas/tree/master/doc/data/air_quality_pm25_long.csv" class="btn btn-dark btn-sm">To raw data</a>
+ </div>
+ </div>
+
+.. ipython:: python
+
+ air_quality_pm25 = pd.read_csv("data/air_quality_pm25_long.csv",
+ parse_dates=True)
+ air_quality_pm25 = air_quality_pm25[["date.utc", "location",
+ "parameter", "value"]]
+ air_quality_pm25.head()
+
+.. raw:: html
+
+ </li>
+ </ul>
+ </div>
+
+
+How to combine data from multiple tables?
+-----------------------------------------
+
+Concatenating objects
+~~~~~~~~~~~~~~~~~~~~~
+
+.. image:: ../../_static/schemas/08_concat_row.svg
+ :align: center
+
+.. raw:: html
+
+ <ul class="task-bullet">
+ <li>
+
+I want to combine the measurements of :math:`NO_2` and :math:`PM_{25}`, two tables with a similar structure, in a single table
+
+.. ipython:: python
+
+ air_quality = pd.concat([air_quality_pm25, air_quality_no2], axis=0)
+ air_quality.head()
+
+The :func:`~pandas.concat` function performs concatenation operations of multiple
+tables along one of the axis (row-wise or column-wise).
+
+.. raw:: html
+
+ </li>
+ </ul>
+
+By default concatenation is along axis 0, so the resulting table combines the rows
+of the input tables. Let’s check the shape of the original and the
+concatenated tables to verify the operation:
+
+.. ipython:: python
+
+ print('Shape of the `air_quality_pm25` table: ', air_quality_pm25.shape)
+ print('Shape of the `air_quality_no2` table: ', air_quality_no2.shape)
+ print('Shape of the resulting `air_quality` table: ', air_quality.shape)
+
+Hence, the resulting table has 3178 = 1110 + 2068 rows.
+
+.. note::
+ The **axis** argument will return in a number of pandas
+ methods that can be applied **along an axis**. A ``DataFrame`` has two
+ corresponding axes: the first running vertically downwards across rows
+ (axis 0), and the second running horizontally across columns (axis 1).
+ Most operations like concatenation or summary statistics are by default
+ across rows (axis 0), but can be applied across columns as well.
+
+Sorting the table on the datetime information illustrates also the
+combination of both tables, with the ``parameter`` column defining the
+origin of the table (either ``no2`` from table ``air_quality_no2`` or
+``pm25`` from table ``air_quality_pm25``):
+
+.. ipython:: python
+
+ air_quality = air_quality.sort_values("date.utc")
+ air_quality.head()
+
+In this specific example, the ``parameter`` column provided by the data
+ensures that each of the original tables can be identified. This is not
+always the case. the ``concat`` function provides a convenient solution
+with the ``keys`` argument, adding an additional (hierarchical) row
+index. For example:
+
+.. ipython:: python
+
+ air_quality_ = pd.concat([air_quality_pm25, air_quality_no2],
+ keys=["PM25", "NO2"])
+
+.. ipython:: python
+
+ air_quality_.head()
+
+.. note::
+ The existence of multiple row/column indices at the same time
+ has not been mentioned within these tutorials. *Hierarchical indexing*
+ or *MultiIndex* is an advanced and powerfull pandas feature to analyze
+ higher dimensional data.
+
+ Multi-indexing is out of scope for this pandas introduction. For the
+ moment, remember that the function ``reset_index`` can be used to
+ convert any level of an index to a column, e.g.
+ ``air_quality.reset_index(level=0)``
+
+ .. raw:: html
+
+ <div class="d-flex flex-row gs-torefguide">
+ <span class="badge badge-info">To user guide</span>
+
+ Feel free to dive into the world of multi-indexing at the user guide section on :ref:`advanced indexing <advanced>`.
+
+ .. raw:: html
+
+ </div>
+
+.. raw:: html
+
+ <div class="d-flex flex-row gs-torefguide">
+ <span class="badge badge-info">To user guide</span>
+
+More options on table concatenation (row and column
+wise) and how ``concat`` can be used to define the logic (union or
+intersection) of the indexes on the other axes is provided at the section on
+:ref:`object concatenation <merging.concat>`.
+
+.. raw:: html
+
+ </div>
+
+Join tables using a common identifier
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+.. image:: ../../_static/schemas/08_merge_left.svg
+ :align: center
+
+.. raw:: html
+
+ <ul class="task-bullet">
+ <li>
+
+Add the station coordinates, provided by the stations metadata table, to the corresponding rows in the measurements table.
+
+.. warning::
+ The air quality measurement station coordinates are stored in a data
+ file ``air_quality_stations.csv``, downloaded using the
+ `py-openaq <http://dhhagan.github.io/py-openaq/index.html>`__ package.
+
+.. ipython:: python
+
+ stations_coord = pd.read_csv("data/air_quality_stations.csv")
+ stations_coord.head()
+
+.. note::
+ The stations used in this example (FR04014, BETR801 and London
+ Westminster) are just three entries enlisted in the metadata table. We
+ only want to add the coordinates of these three to the measurements
+ table, each on the corresponding rows of the ``air_quality`` table.
+
+.. ipython:: python
+
+ air_quality.head()
+
+.. ipython:: python
+
+ air_quality = pd.merge(air_quality, stations_coord,
+ how='left', on='location')
+ air_quality.head()
+
+Using the :meth:`~pandas.merge` function, for each of the rows in the
+``air_quality`` table, the corresponding coordinates are added from the
+``air_quality_stations_coord`` table. Both tables have the column
+``location`` in common which is used as a key to combine the
+information. By choosing the ``left`` join, only the locations available
+in the ``air_quality`` (left) table, i.e. FR04014, BETR801 and London
+Westminster, end up in the resulting table. The ``merge`` function
+supports multiple join options similar to database-style operations.
+
+.. raw:: html
+
+ </li>
+ </ul>
+
+.. raw:: html
+
+ <ul class="task-bullet">
+ <li>
+
+Add the parameter full description and name, provided by the parameters metadata table, to the measurements table
+
+.. warning::
+ The air quality parameters metadata are stored in a data file
+ ``air_quality_parameters.csv``, downloaded using the
+ `py-openaq <http://dhhagan.github.io/py-openaq/index.html>`__ package.
+
+.. ipython:: python
+
+ air_quality_parameters = pd.read_csv("data/air_quality_parameters.csv")
+ air_quality_parameters.head()
+
+.. ipython:: python
+
+ air_quality = pd.merge(air_quality, air_quality_parameters,
+ how='left', left_on='parameter', right_on='id')
+ air_quality.head()
+
+Compared to the previous example, there is no common column name.
+However, the ``parameter`` column in the ``air_quality`` table and the
+``id`` column in the ``air_quality_parameters_name`` both provide the
+measured variable in a common format. The ``left_on`` and ``right_on``
+arguments are used here (instead of just ``on``) to make the link
+between the two tables.
+
+.. raw:: html
+
+ </li>
+ </ul>
+
+.. raw:: html
+
+ <div class="d-flex flex-row gs-torefguide">
+ <span class="badge badge-info">To user guide</span>
+
+pandas supports also inner, outer, and right joins.
+More information on join/merge of tables is provided in the user guide section on
+:ref:`database style merging of tables <merging.join>`. Or have a look at the
+:ref:`comparison with SQL<compare_with_sql.join>` page.
+
+.. raw:: html
+
+ </div>
+
+.. raw:: html
+
+ <div class="shadow gs-callout gs-callout-remember">
+ <h4>REMEMBER</h4>
+
+- Multiple tables can be concatenated both column as row wise using
+ the ``concat`` function.
+- For database-like merging/joining of tables, use the ``merge``
+ function.
+
+.. raw:: html
+
+ </div>
+
+.. raw:: html
+
+ <div class="d-flex flex-row gs-torefguide">
+ <span class="badge badge-info">To user guide</span>
+
+See the user guide for a full description of the various :ref:`facilities to combine data tables <merging>`.
+
+.. raw:: html
+
+ </div>
diff --git a/doc/source/getting_started/intro_tutorials/09_timeseries.rst b/doc/source/getting_started/intro_tutorials/09_timeseries.rst
new file mode 100644
index 0000000000000..d5b4b316130bb
--- /dev/null
+++ b/doc/source/getting_started/intro_tutorials/09_timeseries.rst
@@ -0,0 +1,389 @@
+.. _10min_tut_09_timeseries:
+
+{{ header }}
+
+.. ipython:: python
+
+ import pandas as pd
+ import matplotlib.pyplot as plt
+
+.. raw:: html
+
+ <div class="card gs-data">
+ <div class="card-header">
+ <div class="gs-data-title">
+ Data used for this tutorial:
+ </div>
+ </div>
+ <ul class="list-group list-group-flush">
+ <li class="list-group-item">
+ <div data-toggle="collapse" href="#collapsedata" role="button" aria-expanded="false" aria-controls="collapsedata">
+ <span class="badge badge-dark">Air quality data</span>
+ </div>
+ <div class="collapse" id="collapsedata">
+ <div class="card-body">
+ <p class="card-text">
+
+For this tutorial, air quality data about :math:`NO_2` and Particulate
+matter less than 2.5 micrometers is used, made available by
+`openaq <https://openaq.org>`__ and downloaded using the
+`py-openaq <http://dhhagan.github.io/py-openaq/index.html>`__ package.
+The ``air_quality_no2_long.csv"`` data set provides :math:`NO_2` values
+for the measurement stations *FR04014*, *BETR801* and *London
+Westminster* in respectively Paris, Antwerp and London.
+
+.. raw:: html
+
+ </p>
+ <a href="https://github.com/pandas-dev/pandas/tree/master/doc/data/air_quality_no2_long.csv" class="btn btn-dark btn-sm">To raw data</a>
+ </div>
+ </div>
+
+.. ipython:: python
+
+ air_quality = pd.read_csv("data/air_quality_no2_long.csv")
+ air_quality = air_quality.rename(columns={"date.utc": "datetime"})
+ air_quality.head()
+
+.. ipython:: python
+
+ air_quality.city.unique()
+
+.. raw:: html
+
+ </li>
+ </ul>
+ </div>
+
+How to handle time series data with ease?
+-----------------------------------------
+
+Using pandas datetime properties
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+.. raw:: html
+
+ <ul class="task-bullet">
+ <li>
+
+I want to work with the dates in the column ``datetime`` as datetime objects instead of plain text
+
+.. ipython:: python
+
+ air_quality["datetime"] = pd.to_datetime(air_quality["datetime"])
+ air_quality["datetime"]
+
+Initially, the values in ``datetime`` are character strings and do not
+provide any datetime operations (e.g. extract the year, day of the
+week,…). By applying the ``to_datetime`` function, pandas interprets the
+strings and convert these to datetime (i.e. ``datetime64[ns, UTC]``)
+objects. In pandas we call these datetime objects similar to
+``datetime.datetime`` from the standard library a :class:`pandas.Timestamp`.
+
+.. raw:: html
+
+ </li>
+ </ul>
+
+.. note::
+ As many data sets do contain datetime information in one of
+ the columns, pandas input function like :func:`pandas.read_csv` and :func:`pandas.read_json`
+ can do the transformation to dates when reading the data using the
+ ``parse_dates`` parameter with a list of the columns to read as
+ Timestamp:
+
+ ::
+
+ pd.read_csv("../data/air_quality_no2_long.csv", parse_dates=["datetime"])
+
+Why are these :class:`pandas.Timestamp` objects useful. Let’s illustrate the added
+value with some example cases.
+
+ What is the start and end date of the time series data set working
+ with?
+
+.. ipython:: python
+
+ air_quality["datetime"].min(), air_quality["datetime"].max()
+
+Using :class:`pandas.Timestamp` for datetimes enable us to calculate with date
+information and make them comparable. Hence, we can use this to get the
+length of our time series:
+
+.. ipython:: python
+
+ air_quality["datetime"].max() - air_quality["datetime"].min()
+
+The result is a :class:`pandas.Timedelta` object, similar to ``datetime.timedelta``
+from the standard Python library and defining a time duration.
+
+.. raw:: html
+
+ <div class="d-flex flex-row gs-torefguide">
+ <span class="badge badge-info">To user guide</span>
+
+The different time concepts supported by pandas are explained in the user guide section on :ref:`time related concepts <timeseries.overview>`.
+
+.. raw:: html
+
+ </div>
+
+.. raw:: html
+
+ <ul class="task-bullet">
+ <li>
+
+I want to add a new column to the ``DataFrame`` containing only the month of the measurement
+
+.. ipython:: python
+
+ air_quality["month"] = air_quality["datetime"].dt.month
+ air_quality.head()
+
+By using ``Timestamp`` objects for dates, a lot of time-related
+properties are provided by pandas. For example the ``month``, but also
+``year``, ``weekofyear``, ``quarter``,… All of these properties are
+accessible by the ``dt`` accessor.
+
+.. raw:: html
+
+ </li>
+ </ul>
+
+.. raw:: html
+
+ <div class="d-flex flex-row gs-torefguide">
+ <span class="badge badge-info">To user guide</span>
+
+An overview of the existing date properties is given in the
+:ref:`time and date components overview table <timeseries.components>`. More details about the ``dt`` accessor
+to return datetime like properties is explained in a dedicated section on the :ref:`dt accessor <basics.dt_accessors>`.
+
+.. raw:: html
+
+ </div>
+
+.. raw:: html
+
+ <ul class="task-bullet">
+ <li>
+
+What is the average :math:`NO_2` concentration for each day of the week for each of the measurement locations?
+
+.. ipython:: python
+
+ air_quality.groupby(
+ [air_quality["datetime"].dt.weekday, "location"])["value"].mean()
+
+Remember the split-apply-combine pattern provided by ``groupby`` from the
+:ref:`tutorial on statistics calculation <10min_tut_06_stats>`?
+Here, we want to calculate a given statistic (e.g. mean :math:`NO_2`)
+**for each weekday** and **for each measurement location**. To group on
+weekdays, we use the datetime property ``weekday`` (with Monday=0 and
+Sunday=6) of pandas ``Timestamp``, which is also accessible by the
+``dt`` accessor. The grouping on both locations and weekdays can be done
+to split the calculation of the mean on each of these combinations.
+
+.. danger::
+ As we are working with a very short time series in these
+ examples, the analysis does not provide a long-term representative
+ result!
+
+.. raw:: html
+
+ </li>
+ </ul>
+
+.. raw:: html
+
+ <ul class="task-bullet">
+ <li>
+
+Plot the typical :math:`NO_2` pattern during the day of our time series of all stations together. In other words, what is the average value for each hour of the day?
+
+.. ipython:: python
+
+ fig, axs = plt.subplots(figsize=(12, 4))
+ air_quality.groupby(
+ air_quality["datetime"].dt.hour)["value"].mean().plot(kind='bar',
+ rot=0,
+ ax=axs)
+ plt.xlabel("Hour of the day"); # custom x label using matplotlib
+ @savefig 09_bar_chart.png
+ plt.ylabel("$NO_2 (µg/m^3)$");
+
+Similar to the previous case, we want to calculate a given statistic
+(e.g. mean :math:`NO_2`) **for each hour of the day** and we can use the
+split-apply-combine approach again. For this case, the datetime property ``hour``
+of pandas ``Timestamp``, which is also accessible by the ``dt`` accessor.
+
+.. raw:: html
+
+ </li>
+ </ul>
+
+Datetime as index
+~~~~~~~~~~~~~~~~~
+
+In the :ref:`tutorial on reshaping <10min_tut_07_reshape>`,
+:meth:`~pandas.pivot` was introduced to reshape the data table with each of the
+measurements locations as a separate column:
+
+.. ipython:: python
+
+ no_2 = air_quality.pivot(index="datetime", columns="location", values="value")
+ no_2.head()
+
+.. note::
+ By pivoting the data, the datetime information became the
+ index of the table. In general, setting a column as an index can be
+ achieved by the ``set_index`` function.
+
+Working with a datetime index (i.e. ``DatetimeIndex``) provides powerful
+functionalities. For example, we do not need the ``dt`` accessor to get
+the time series properties, but have these properties available on the
+index directly:
+
+.. ipython:: python
+
+ no_2.index.year, no_2.index.weekday
+
+Some other advantages are the convenient subsetting of time period or
+the adapted time scale on plots. Let’s apply this on our data.
+
+.. raw:: html
+
+ <ul class="task-bullet">
+ <li>
+
+Create a plot of the :math:`NO_2` values in the different stations from the 20th of May till the end of 21st of May
+
+.. ipython:: python
+ :okwarning:
+
+ @savefig 09_time_section.png
+ no_2["2019-05-20":"2019-05-21"].plot();
+
+By providing a **string that parses to a datetime**, a specific subset of the data can be selected on a ``DatetimeIndex``.
+
+.. raw:: html
+
+ </li>
+ </ul>
+
+.. raw:: html
+
+ <div class="d-flex flex-row gs-torefguide">
+ <span class="badge badge-info">To user guide</span>
+
+More information on the ``DatetimeIndex`` and the slicing by using strings is provided in the section on :ref:`time series indexing <timeseries.datetimeindex>`.
+
+.. raw:: html
+
+ </div>
+
+Resample a time series to another frequency
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+.. raw:: html
+
+ <ul class="task-bullet">
+ <li>
+
+Aggregate the current hourly time series values to the monthly maximum value in each of the stations.
+
+.. ipython:: python
+
+ monthly_max = no_2.resample("M").max()
+ monthly_max
+
+A very powerful method on time series data with a datetime index, is the
+ability to :meth:`~Series.resample` time series to another frequency (e.g.,
+converting secondly data into 5-minutely data).
+
+.. raw:: html
+
+ </li>
+ </ul>
+
+The :meth:`~Series.resample` method is similar to a groupby operation:
+
+- it provides a time-based grouping, by using a string (e.g. ``M``,
+ ``5H``,…) that defines the target frequency
+- it requires an aggregation function such as ``mean``, ``max``,…
+
+.. raw:: html
+
+ <div class="d-flex flex-row gs-torefguide">
+ <span class="badge badge-info">To user guide</span>
+
+An overview of the aliases used to define time series frequencies is given in the :ref:`offset aliases overview table <timeseries.offset_aliases>`.
+
+.. raw:: html
+
+ </div>
+
+When defined, the frequency of the time series is provided by the
+``freq`` attribute:
+
+.. ipython:: python
+
+ monthly_max.index.freq
+
+.. raw:: html
+
+ <ul class="task-bullet">
+ <li>
+
+Make a plot of the daily median :math:`NO_2` value in each of the stations.
+
+.. ipython:: python
+ :okwarning:
+
+ @savefig 09_resample_mean.png
+ no_2.resample("D").mean().plot(style="-o", figsize=(10, 5));
+
+.. raw:: html
+
+ </li>
+ </ul>
+
+.. raw:: html
+
+ <div class="d-flex flex-row gs-torefguide">
+ <span class="badge badge-info">To user guide</span>
+
+More details on the power of time series ``resampling`` is provided in the user gudie section on :ref:`resampling <timeseries.resampling>`.
+
+.. raw:: html
+
+ </div>
+
+.. raw:: html
+
+ <div class="shadow gs-callout gs-callout-remember">
+ <h4>REMEMBER</h4>
+
+- Valid date strings can be converted to datetime objects using
+ ``to_datetime`` function or as part of read functions.
+- Datetime objects in pandas supports calculations, logical operations
+ and convenient date-related properties using the ``dt`` accessor.
+- A ``DatetimeIndex`` contains these date-related properties and
+ supports convenient slicing.
+- ``Resample`` is a powerful method to change the frequency of a time
+ series.
+
+.. raw:: html
+
+ </div>
+
+.. raw:: html
+
+ <div class="d-flex flex-row gs-torefguide">
+ <span class="badge badge-info">To user guide</span>
+
+A full overview on time series is given in the pages on :ref:`time series and date functionality <timeseries>`.
+
+.. raw:: html
+
+ </div>
\ No newline at end of file
diff --git a/doc/source/getting_started/intro_tutorials/10_text_data.rst b/doc/source/getting_started/intro_tutorials/10_text_data.rst
new file mode 100644
index 0000000000000..3ff64875d807b
--- /dev/null
+++ b/doc/source/getting_started/intro_tutorials/10_text_data.rst
@@ -0,0 +1,278 @@
+.. _10min_tut_10_text:
+
+{{ header }}
+
+.. ipython:: python
+
+ import pandas as pd
+
+.. raw:: html
+
+ <div class="card gs-data">
+ <div class="card-header">
+ <div class="gs-data-title">
+ Data used for this tutorial:
+ </div>
+ </div>
+ <ul class="list-group list-group-flush">
+ <li class="list-group-item">
+ <div data-toggle="collapse" href="#collapsedata" role="button" aria-expanded="false" aria-controls="collapsedata">
+ <span class="badge badge-dark">Titanic data</span>
+ </div>
+ <div class="collapse" id="collapsedata">
+ <div class="card-body">
+ <p class="card-text">
+
+This tutorial uses the titanic data set, stored as CSV. The data
+consists of the following data columns:
+
+- PassengerId: Id of every passenger.
+- Survived: This feature have value 0 and 1. 0 for not survived and 1
+ for survived.
+- Pclass: There are 3 classes: Class 1, Class 2 and Class 3.
+- Name: Name of passenger.
+- Sex: Gender of passenger.
+- Age: Age of passenger.
+- SibSp: Indication that passenger have siblings and spouse.
+- Parch: Whether a passenger is alone or have family.
+- Ticket: Ticket number of passenger.
+- Fare: Indicating the fare.
+- Cabin: The cabin of passenger.
+- Embarked: The embarked category.
+
+.. raw:: html
+
+ </p>
+ <a href="https://github.com/pandas-dev/pandas/tree/master/doc/data/titanic.csv" class="btn btn-dark btn-sm">To raw data</a>
+ </div>
+ </div>
+
+.. ipython:: python
+
+ titanic = pd.read_csv("data/titanic.csv")
+ titanic.head()
+
+.. raw:: html
+
+ </li>
+ </ul>
+ </div>
+
+How to manipulate textual data?
+-------------------------------
+
+.. raw:: html
+
+ <ul class="task-bullet">
+ <li>
+
+Make all name characters lowercase
+
+.. ipython:: python
+
+ titanic["Name"].str.lower()
+
+To make each of the strings in the ``Name`` column lowercase, select the ``Name`` column
+(see :ref:`tutorial on selection of data <10min_tut_03_subset>`), add the ``str`` accessor and
+apply the ``lower`` method. As such, each of the strings is converted element wise.
+
+.. raw:: html
+
+ </li>
+ </ul>
+
+Similar to datetime objects in the :ref:`time series tutorial <10min_tut_09_timeseries>`
+having a ``dt`` accessor, a number of
+specialized string methods are available when using the ``str``
+accessor. These methods have in general matching names with the
+equivalent built-in string methods for single elements, but are applied
+element-wise (remember :ref:`element wise calculations <10min_tut_05_columns>`?)
+on each of the values of the columns.
+
+.. raw:: html
+
+ <ul class="task-bullet">
+ <li>
+
+Create a new column ``Surname`` that contains the surname of the Passengers by extracting the part before the comma.
+
+.. ipython:: python
+
+ titanic["Name"].str.split(",")
+
+Using the :meth:`Series.str.split` method, each of the values is returned as a list of
+2 elements. The first element is the part before the comma and the
+second element the part after the comma.
+
+.. ipython:: python
+
+ titanic["Surname"] = titanic["Name"].str.split(",").str.get(0)
+ titanic["Surname"]
+
+As we are only interested in the first part representing the surname
+(element 0), we can again use the ``str`` accessor and apply :meth:`Series.str.get` to
+extract the relevant part. Indeed, these string functions can be
+concatenated to combine multiple functions at once!
+
+.. raw:: html
+
+ </li>
+ </ul>
+
+.. raw:: html
+
+ <div class="d-flex flex-row gs-torefguide">
+ <span class="badge badge-info">To user guide</span>
+
+More information on extracting parts of strings is available in the user guide section on :ref:`splitting and replacing strings <text.split>`.
+
+.. raw:: html
+
+ </div>
+
+.. raw:: html
+
+ <ul class="task-bullet">
+ <li>
+
+Extract the passenger data about the Countess on board of the Titanic.
+
+.. ipython:: python
+
+ titanic["Name"].str.contains("Countess")
+
+.. ipython:: python
+
+ titanic[titanic["Name"].str.contains("Countess")]
+
+(*Interested in her story? See*\ `Wikipedia <https://en.wikipedia.org/wiki/No%C3%ABl_Leslie,_Countess_of_Rothes>`__\ *!*)
+
+The string method :meth:`Series.str.contains` checks for each of the values in the
+column ``Name`` if the string contains the word ``Countess`` and returns
+for each of the values ``True`` (``Countess`` is part of the name) of
+``False`` (``Countess`` is notpart of the name). This output can be used
+to subselect the data using conditional (boolean) indexing introduced in
+the :ref:`subsetting of data tutorial <10min_tut_03_subset>`. As there was
+only 1 Countess on the Titanic, we get one row as a result.
+
+.. raw:: html
+
+ </li>
+ </ul>
+
+.. note::
+ More powerful extractions on strings is supported, as the
+ :meth:`Series.str.contains` and :meth:`Series.str.extract` methods accepts `regular
+ expressions <https://docs.python.org/3/library/re.html>`__, but out of
+ scope of this tutorial.
+
+.. raw:: html
+
+ <div class="d-flex flex-row gs-torefguide">
+ <span class="badge badge-info">To user guide</span>
+
+More information on extracting parts of strings is available in the user guide section on :ref:`string matching and extracting <text.extract>`.
+
+.. raw:: html
+
+ </div>
+
+.. raw:: html
+
+ <ul class="task-bullet">
+ <li>
+
+Which passenger of the titanic has the longest name?
+
+.. ipython:: python
+
+ titanic["Name"].str.len()
+
+To get the longest name we first have to get the lenghts of each of the
+names in the ``Name`` column. By using pandas string methods, the
+:meth:`Series.str.len` function is applied to each of the names individually
+(element-wise).
+
+.. ipython:: python
+
+ titanic["Name"].str.len().idxmax()
+
+Next, we need to get the corresponding location, preferably the index
+label, in the table for which the name length is the largest. The
+:meth:`~Series.idxmax`` method does exactly that. It is not a string method and is
+applied to integers, so no ``str`` is used.
+
+.. ipython:: python
+
+ titanic.loc[titanic["Name"].str.len().idxmax(), "Name"]
+
+Based on the index name of the row (``307``) and the column (``Name``),
+we can do a selection using the ``loc`` operator, introduced in the
+`tutorial on subsetting <3_subset_data.ipynb>`__.
+
+.. raw:: html
+
+ </li>
+ </ul>
+
+.. raw:: html
+
+ <ul class="task-bullet">
+ <li>
+
+In the ‘Sex’ columns, replace values of ‘male’ by ‘M’ and all ‘female’ values by ‘F’
+
+.. ipython:: python
+
+ titanic["Sex_short"] = titanic["Sex"].replace({"male": "M",
+ "female": "F"})
+ titanic["Sex_short"]
+
+Whereas :meth:`~Series.replace` is not a string method, it provides a convenient way
+to use mappings or vocabularies to translate certain values. It requires
+a ``dictionary`` to define the mapping ``{from : to}``.
+
+.. raw:: html
+
+ </li>
+ </ul>
+
+.. warning::
+ There is also a :meth:`~Series.str.replace` methods available to replace a
+ specific set of characters. However, when having a mapping of multiple
+ values, this would become:
+
+ ::
+
+ titanic["Sex_short"] = titanic["Sex"].str.replace("female", "F")
+ titanic["Sex_short"] = titanic["Sex_short"].str.replace("male", "M")
+
+ This would become cumbersome and easily lead to mistakes. Just think (or
+ try out yourself) what would happen if those two statements are applied
+ in the opposite order…
+
+.. raw:: html
+
+ <div class="shadow gs-callout gs-callout-remember">
+ <h4>REMEMBER</h4>
+
+- String methods are available using the ``str`` accessor.
+- String methods work element wise and can be used for conditional
+ indexing.
+- The ``replace`` method is a convenient method to convert values
+ according to a given dictionary.
+
+.. raw:: html
+
+ </div>
+
+.. raw:: html
+
+ <div class="d-flex flex-row gs-torefguide">
+ <span class="badge badge-info">To user guide</span>
+
+A full overview is provided in the user guide pages on :ref:`working with text data <text>`.
+
+.. raw:: html
+
+ </div>
diff --git a/doc/source/getting_started/intro_tutorials/index.rst b/doc/source/getting_started/intro_tutorials/index.rst
new file mode 100644
index 0000000000000..28e7610866461
--- /dev/null
+++ b/doc/source/getting_started/intro_tutorials/index.rst
@@ -0,0 +1,22 @@
+{{ header }}
+
+.. _10times1minute:
+
+=========================
+Getting started tutorials
+=========================
+
+.. toctree::
+ :maxdepth: 1
+
+ 01_table_oriented
+ 02_read_write
+ 03_subset_data
+ 04_plotting
+ 05_add_columns
+ 06_calculate_statistics
+ 07_reshape_table_layout
+ 08_combine_dataframes
+ 09_timeseries
+ 10_text_data
+
diff --git a/doc/source/index.rst.template b/doc/source/index.rst.template
index 5690bb2e4a875..7eb25790f6a7a 100644
--- a/doc/source/index.rst.template
+++ b/doc/source/index.rst.template
@@ -104,6 +104,7 @@ programming language.
{% if single_doc and single_doc.endswith('.rst') -%}
.. toctree::
:maxdepth: 3
+ :titlesonly:
{{ single_doc[:-4] }}
{% elif single_doc %}
@@ -115,6 +116,7 @@ programming language.
.. toctree::
:maxdepth: 3
:hidden:
+ :titlesonly:
{% endif %}
{% if not single_doc %}
What's New in 1.1.0 <whatsnew/v1.1.0>
diff --git a/doc/source/user_guide/reshaping.rst b/doc/source/user_guide/reshaping.rst
index b28354cd8b5f2..bbec9a770477d 100644
--- a/doc/source/user_guide/reshaping.rst
+++ b/doc/source/user_guide/reshaping.rst
@@ -6,6 +6,8 @@
Reshaping and pivot tables
**************************
+.. _reshaping.reshaping:
+
Reshaping by pivoting DataFrame objects
---------------------------------------
@@ -314,6 +316,8 @@ user-friendly.
dft
pd.wide_to_long(dft, ["A", "B"], i="id", j="year")
+.. _reshaping.combine_with_groupby:
+
Combining with stats and GroupBy
--------------------------------
diff --git a/doc/source/user_guide/text.rst b/doc/source/user_guide/text.rst
index 88c86ac212f11..2e4d0fecaf5cf 100644
--- a/doc/source/user_guide/text.rst
+++ b/doc/source/user_guide/text.rst
@@ -189,12 +189,11 @@ and replacing any remaining whitespaces with underscores:
Generally speaking, the ``.str`` accessor is intended to work only on strings. With very few
exceptions, other uses are not supported, and may be disabled at a later point.
+.. _text.split:
Splitting and replacing strings
-------------------------------
-.. _text.split:
-
Methods like ``split`` return a Series of lists:
.. ipython:: python
| - [ ] closes #26831
This PR provides an update of the getting started pages of the Pandas documentation, following from the discussion in #26831 and the [proposal](https://docs.google.com/document/d/1Rc_eql5KLrdf0c582KyWfs2ADVNxbJy4jfosnqdrVak/edit#heading=h.mqz2f6gbl3sd). The update went together with the creation of the new theme and tries to integrate as much as possible with the new layout (using bootstrap elements). This PR focuses on the getting started section and adds new sections to the documentation:
- An update of the 'getting started' intro page of the sphinx documentation to provide new users some more guidance on the 'first steps' with Pandas: Directions for installation, a short intro on main Pandas features each linking to a dedicated introduction tutorial (see next point), specific info targeted to people with another background and reference to more tutorials.
- A set of tutorials which introduce some key features of the Pandas package. Each tutorial is setup as a series of 'tasks/questions' so users get a first idea of the type of problems they can solve with Pandas for that topic. All tutorials provide a set of [returning elements](https://stijnvanhoey.github.io/pandas-getting-started-tutorials/tutorial-elements/). Both the intros as well as the tutorials itself try to guide people as much as possible to related sections of the user guide.
- A set of schemas to illustrate certain concepts, with according to the new theme. These schemas can be used in other locations in the user guide as well.
The aim is to move the [dsintro](https://pandas.io/docs/getting_started/dsintro.html) and the [basics](https://pandas.io/docs/getting_started/basics.html) to the general user guide, as both are too extensive for a getting started section. The 10 intro tutorials try to provide an alternative that is more fit to people starting with Pandas.
There is still some work to do (typo's in the tutorials, additional schemas...), but input is certainly welcome and appreciated, I'll continue improving it. See https://stijnvanhoey.github.io/example-pandas-docs/getting-started/getting_started/index.html for a live preview.
Note: (1) a separate PR is prepared for the general sphinx intro page with @jorisvandenbossche, see #31148 (2) some of the layout issues are more general and related to the [new sphinx theme](https://github.com/pandas-dev/pydata-bootstrap-sphinx-theme) and will be tackled there (e.g. spacing around titles and subtitles)
Some pictures:
- The intro to the 10 tutorials:
- the coming from section :
- example of 'remember' section in each tutorial:
| https://api.github.com/repos/pandas-dev/pandas/pulls/31156 | 2020-01-20T15:42:12Z | 2020-02-17T11:49:43Z | 2020-02-17T11:49:43Z | 2020-02-17T18:54:40Z |
BUG: nonexistent Timestamp pre-summer/winter DST w/dateutil timezone | diff --git a/doc/source/whatsnew/v1.1.0.rst b/doc/source/whatsnew/v1.1.0.rst
index 59c90534beefd..1a7fe0a24665d 100644
--- a/doc/source/whatsnew/v1.1.0.rst
+++ b/doc/source/whatsnew/v1.1.0.rst
@@ -92,9 +92,10 @@ Categorical
Datetimelike
^^^^^^^^^^^^
+
- Bug in :class:`Timestamp` where constructing :class:`Timestamp` from ambiguous epoch time and calling constructor again changed :meth:`Timestamp.value` property (:issue:`24329`)
- :meth:`DatetimeArray.searchsorted`, :meth:`TimedeltaArray.searchsorted`, :meth:`PeriodArray.searchsorted` not recognizing non-pandas scalars and incorrectly raising ``ValueError`` instead of ``TypeError`` (:issue:`30950`)
--
+- Bug in :class:`Timestamp` where constructing :class:`Timestamp` with dateutil timezone less than 128 nanoseconds before daylight saving time switch from winter to summer would result in nonexistent time (:issue:`31043`)
Timedelta
^^^^^^^^^
diff --git a/pandas/_libs/tslibs/nattype.pyx b/pandas/_libs/tslibs/nattype.pyx
index 67c0f0cc33ab8..61b2721696bad 100644
--- a/pandas/_libs/tslibs/nattype.pyx
+++ b/pandas/_libs/tslibs/nattype.pyx
@@ -278,7 +278,7 @@ cdef class _NaT(datetime):
def total_seconds(self):
"""
- Total duration of timedelta in seconds (to ns precision).
+ Total duration of timedelta in seconds (to microsecond precision).
"""
# GH#10939
return np.nan
diff --git a/pandas/_libs/tslibs/timedeltas.pyx b/pandas/_libs/tslibs/timedeltas.pyx
index 0a773b8a215ed..8f78ae6a1322e 100644
--- a/pandas/_libs/tslibs/timedeltas.pyx
+++ b/pandas/_libs/tslibs/timedeltas.pyx
@@ -861,9 +861,11 @@ cdef class _Timedelta(timedelta):
def total_seconds(self):
"""
- Total duration of timedelta in seconds (to ns precision).
+ Total duration of timedelta in seconds (to microsecond precision).
"""
- return self.value / 1e9
+ # GH 31043
+ # Microseconds precision to avoid confusing tzinfo.utcoffset
+ return (self.value - self.value % 1000) / 1e9
def view(self, dtype):
"""
diff --git a/pandas/tests/indexes/datetimes/test_timezones.py b/pandas/tests/indexes/datetimes/test_timezones.py
index df64820777f3f..c785eb67e5184 100644
--- a/pandas/tests/indexes/datetimes/test_timezones.py
+++ b/pandas/tests/indexes/datetimes/test_timezones.py
@@ -2,6 +2,7 @@
Tests for DatetimeIndex timezone-related methods
"""
from datetime import date, datetime, time, timedelta, tzinfo
+from distutils.version import LooseVersion
import dateutil
from dateutil.tz import gettz, tzlocal
@@ -10,6 +11,7 @@
import pytz
from pandas._libs.tslibs import conversion, timezones
+from pandas.compat._optional import _get_version
import pandas.util._test_decorators as td
import pandas as pd
@@ -585,7 +587,10 @@ def test_dti_construction_ambiguous_endpoint(self, tz):
"dateutil/US/Pacific",
"shift_backward",
"2019-03-10 01:00",
- marks=pytest.mark.xfail(reason="GH 24329"),
+ marks=pytest.mark.xfail(
+ LooseVersion(_get_version(dateutil)) < LooseVersion("2.7.0"),
+ reason="GH 31043",
+ ),
),
["US/Pacific", timedelta(hours=1), "2019-03-10 03:00"],
],
diff --git a/pandas/tests/scalar/timestamp/test_timestamp.py b/pandas/tests/scalar/timestamp/test_timestamp.py
index c60406fdbc8a6..b70948318e39e 100644
--- a/pandas/tests/scalar/timestamp/test_timestamp.py
+++ b/pandas/tests/scalar/timestamp/test_timestamp.py
@@ -2,6 +2,7 @@
import calendar
from datetime import datetime, timedelta
+from distutils.version import LooseVersion
import locale
import unicodedata
@@ -1092,3 +1093,23 @@ def test_constructor_ambigous_dst():
expected = ts.value
result = Timestamp(ts).value
assert result == expected
+
+
+@pytest.mark.xfail(
+ LooseVersion(compat._optional._get_version(dateutil)) < LooseVersion("2.7.0"),
+ reason="dateutil moved to Timedelta.total_seconds() in 2.7.0",
+)
+@pytest.mark.parametrize("epoch", [1552211999999999872, 1552211999999999999])
+def test_constructor_before_dst_switch(epoch):
+ # GH 31043
+ # Make sure that calling Timestamp constructor
+ # on time just before DST switch doesn't lead to
+ # nonexistent time or value change
+ # Works only with dateutil >= 2.7.0 as dateutil overrid
+ # pandas.Timedelta.total_seconds with
+ # datetime.timedelta.total_seconds before
+ ts = Timestamp(epoch, tz="dateutil/US/Pacific")
+ result = ts.tz.dst(ts)
+ expected = timedelta(seconds=0)
+ assert Timestamp(ts).value == epoch
+ assert result == expected
| - [X] closes #31043
- [X] tests added 1 / passed 1
- [X] passes `black pandas`
- [X] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [X] whatsnew entry
This implements rounding down to microseconds into Timedelta.total_seconds(). Lack of this rounding led to `dateutil.tz.tzinfo.utcoffset` and `dst` breaking less than 128 nanoseconds before winter/summer DST switch. This happened due to an unintended cast to float in `Timedelta.total_seconds()` compounded with `Timedelta.value` being np.int64 type which doesn't support long arithmetic. The loss of precision led to rounding up, which meant that `total_seconds` since epoch time implied DST time while the `Timedelta.value` hasn't yet reached DST.
Details and code examples below.
<details>
This was quite a journey, but I found out what's going on. Let's say we have a `dateutil.tz.tzinfo` object named `du_tz` and want to find out the DST-aware UTC offset.
1. We call `du_tz.utcoffset(dt)` which calls `du_tz._find_ttinfo(dt)` which calls `du_tz._resolve_ambiguous_time(dt)` to find the index of the last transition time that it uses to return the correct offset.
2. `du_tz._resolve_ambiguous_time(dt)` calls `du_tz._find_last_transition(dt)` which calls the `_datetime_to_timestamp(dt)` dateutil function.
3. This is what this function does:
```
def _datetime_to_timestamp(dt):
"""
Convert a :class:`datetime.datetime` object to an epoch timestamp in
seconds since January 1, 1970, ignoring the time zone.
"""
return (dt.replace(tzinfo=None) - EPOCH).total_seconds()
```
The problem is dateutil's reliance on `Timedelta.total_seconds` which casts to float:
```
def total_seconds(self):
"""
Total duration of timedelta in seconds (to ns precision).
"""
return self.value / 1e9
```
Demonstration:
```
IN:
import datetime
import pandas as pd
epoch = 1552211999999999872
ts = pd.Timestamp(epoch, tz='dateutil/US/Pacific')
EPOCH = datetime.datetime.utcfromtimestamp(0)
delta = ts.replace(tzinfo=None) - EPOCH
print(delta.value)
OUT:
1552183199999999872
IN:
print(delta.total_seconds())
OUT:
1552183200.0
IN:
print(ts.tz.dst(ts))
OUT:
datetime.timedelta(seconds=3600)
```
The same thing happens with a `pytz` timezone, only pytz relies on something else to check for DST transitions:
```
IN:
import datetime
import pandas as pd
epoch = 1552211999999999872
ts = pd.Timestamp(epoch, tz='US/Pacific')
EPOCH = datetime.datetime.utcfromtimestamp(0)
delta = ts.replace(tzinfo=None) - EPOCH
print(delta.value)
OUT:
1552183199999999872
IN:
print(delta.total_seconds())
OUT:
1552183200.0
IN:
print(ts.tz.dst(ts))
OUT:
datetime.timedelta(0)
```
So `timedelta` value is okay, but `timedelta.total_seconds` hits the precision limit of floats, and this leads to rounding and an incorrect DST offset.
</details>
| https://api.github.com/repos/pandas-dev/pandas/pulls/31155 | 2020-01-20T15:23:12Z | 2020-01-24T03:33:00Z | 2020-01-24T03:33:00Z | 2020-01-24T16:31:54Z |
Backport PR #31095 on branch 1.0.x (DOC: Restore ExtensionIndex.dropna.__doc__) | diff --git a/pandas/core/indexes/extension.py b/pandas/core/indexes/extension.py
index 58fcce7e59be7..db35cdb72979f 100644
--- a/pandas/core/indexes/extension.py
+++ b/pandas/core/indexes/extension.py
@@ -6,7 +6,7 @@
import numpy as np
from pandas.compat.numpy import function as nv
-from pandas.util._decorators import cache_readonly
+from pandas.util._decorators import Appender, cache_readonly
from pandas.core.dtypes.common import ensure_platform_int, is_dtype_equal
from pandas.core.dtypes.generic import ABCSeries
@@ -188,6 +188,7 @@ def __iter__(self):
def _ndarray_values(self) -> np.ndarray:
return self._data._ndarray_values
+ @Appender(Index.dropna.__doc__)
def dropna(self, how="any"):
if how not in ("any", "all"):
raise ValueError(f"invalid how option: {how}")
@@ -201,6 +202,7 @@ def repeat(self, repeats, axis=None):
result = self._data.repeat(repeats, axis=axis)
return self._shallow_copy(result)
+ @Appender(Index.take.__doc__)
def take(self, indices, axis=0, allow_fill=True, fill_value=None, **kwargs):
nv.validate_take(tuple(), kwargs)
indices = ensure_platform_int(indices)
@@ -230,6 +232,7 @@ def _get_unique_index(self, dropna=False):
result = result[~result.isna()]
return self._shallow_copy(result)
+ @Appender(Index.astype.__doc__)
def astype(self, dtype, copy=True):
if is_dtype_equal(self.dtype, dtype) and copy is False:
# Ensure that self.astype(self.dtype) is self
| Backport PR #31095: DOC: Restore ExtensionIndex.dropna.__doc__ | https://api.github.com/repos/pandas-dev/pandas/pulls/31152 | 2020-01-20T13:35:47Z | 2020-01-20T15:24:46Z | 2020-01-20T15:24:46Z | 2020-01-20T15:24:46Z |
API: generalized check_array_indexer for validating array-like getitem indexers | diff --git a/doc/source/reference/extensions.rst b/doc/source/reference/extensions.rst
index c072237850d82..78fdfbfd28144 100644
--- a/doc/source/reference/extensions.rst
+++ b/doc/source/reference/extensions.rst
@@ -66,7 +66,7 @@ behaves correctly.
.. autosummary::
:toctree: api/
- api.indexers.check_bool_array_indexer
+ api.indexers.check_array_indexer
The sentinel ``pandas.api.extensions.no_default`` is used as the default
diff --git a/pandas/api/indexers/__init__.py b/pandas/api/indexers/__init__.py
index 10654eb0888ee..826297e6b498f 100644
--- a/pandas/api/indexers/__init__.py
+++ b/pandas/api/indexers/__init__.py
@@ -2,7 +2,7 @@
Public API for Rolling Window Indexers.
"""
-from pandas.core.indexers import check_bool_array_indexer
+from pandas.core.indexers import check_array_indexer
from pandas.core.window.indexers import BaseIndexer
-__all__ = ["check_bool_array_indexer", "BaseIndexer"]
+__all__ = ["check_array_indexer", "BaseIndexer"]
diff --git a/pandas/core/arrays/categorical.py b/pandas/core/arrays/categorical.py
index 9d7359dd9c614..412422397af06 100644
--- a/pandas/core/arrays/categorical.py
+++ b/pandas/core/arrays/categorical.py
@@ -39,7 +39,7 @@
)
from pandas.core.dtypes.dtypes import CategoricalDtype
from pandas.core.dtypes.generic import ABCIndexClass, ABCSeries
-from pandas.core.dtypes.inference import is_array_like, is_hashable
+from pandas.core.dtypes.inference import is_hashable
from pandas.core.dtypes.missing import isna, notna
from pandas.core import ops
@@ -54,7 +54,7 @@
from pandas.core.base import NoNewAttributesMixin, PandasObject, _shared_docs
import pandas.core.common as com
from pandas.core.construction import array, extract_array, sanitize_array
-from pandas.core.indexers import check_bool_array_indexer
+from pandas.core.indexers import check_array_indexer, deprecate_ndim_indexing
from pandas.core.missing import interpolate_2d
from pandas.core.ops.common import unpack_zerodim_and_defer
from pandas.core.sorting import nargsort
@@ -2001,14 +2001,11 @@ def __getitem__(self, key):
else:
return self.categories[i]
- if is_list_like(key) and not is_array_like(key):
- key = np.asarray(key)
-
- if com.is_bool_indexer(key):
- key = check_bool_array_indexer(self, key)
+ key = check_array_indexer(self, key)
result = self._codes[key]
if result.ndim > 1:
+ deprecate_ndim_indexing(result)
return result
return self._constructor(result, dtype=self.dtype, fastpath=True)
diff --git a/pandas/core/arrays/datetimelike.py b/pandas/core/arrays/datetimelike.py
index 70637026c278d..0ea707e1ae69d 100644
--- a/pandas/core/arrays/datetimelike.py
+++ b/pandas/core/arrays/datetimelike.py
@@ -42,7 +42,7 @@
from pandas.core.algorithms import checked_add_with_arr, take, unique1d, value_counts
from pandas.core.arrays.base import ExtensionArray, ExtensionOpsMixin
import pandas.core.common as com
-from pandas.core.indexers import check_bool_array_indexer
+from pandas.core.indexers import check_array_indexer
from pandas.core.ops.common import unpack_zerodim_and_defer
from pandas.core.ops.invalid import invalid_comparison, make_invalid_op
@@ -518,11 +518,20 @@ def __getitem__(self, key):
return type(self)(val, dtype=self.dtype)
if com.is_bool_indexer(key):
- key = check_bool_array_indexer(self, key)
+ # first convert to boolean, because check_array_indexer doesn't
+ # allow object dtype
+ key = np.asarray(key, dtype=bool)
+ key = check_array_indexer(self, key)
if key.all():
key = slice(0, None, None)
else:
key = lib.maybe_booleans_to_slice(key.view(np.uint8))
+ elif isinstance(key, list) and len(key) == 1 and isinstance(key[0], slice):
+ # see https://github.com/pandas-dev/pandas/issues/31299, need to allow
+ # this for now (would otherwise raise in check_array_indexer)
+ pass
+ else:
+ key = check_array_indexer(self, key)
is_period = is_period_dtype(self)
if is_period:
diff --git a/pandas/core/arrays/interval.py b/pandas/core/arrays/interval.py
index 37d2baed2c09e..d890c0c16aecc 100644
--- a/pandas/core/arrays/interval.py
+++ b/pandas/core/arrays/interval.py
@@ -40,6 +40,7 @@
from pandas.core.arrays.categorical import Categorical
import pandas.core.common as com
from pandas.core.construction import array
+from pandas.core.indexers import check_array_indexer
from pandas.core.indexes.base import ensure_index
_VALID_CLOSED = {"left", "right", "both", "neither"}
@@ -495,6 +496,7 @@ def __len__(self) -> int:
return len(self.left)
def __getitem__(self, value):
+ value = check_array_indexer(self, value)
left = self.left[value]
right = self.right[value]
diff --git a/pandas/core/arrays/masked.py b/pandas/core/arrays/masked.py
index 5eaed70721592..80e317123126a 100644
--- a/pandas/core/arrays/masked.py
+++ b/pandas/core/arrays/masked.py
@@ -9,8 +9,7 @@
from pandas.core.algorithms import take
from pandas.core.arrays import ExtensionArray, ExtensionOpsMixin
-import pandas.core.common as com
-from pandas.core.indexers import check_bool_array_indexer
+from pandas.core.indexers import check_array_indexer
if TYPE_CHECKING:
from pandas._typing import Scalar
@@ -35,8 +34,7 @@ def __getitem__(self, item):
return self.dtype.na_value
return self._data[item]
- elif com.is_bool_indexer(item):
- item = check_bool_array_indexer(self, item)
+ item = check_array_indexer(self, item)
return type(self)(self._data[item], self._mask[item])
diff --git a/pandas/core/arrays/numpy_.py b/pandas/core/arrays/numpy_.py
index 075096f6cfb54..8b1d1e58dc36c 100644
--- a/pandas/core/arrays/numpy_.py
+++ b/pandas/core/arrays/numpy_.py
@@ -18,9 +18,8 @@
from pandas.core import nanops
from pandas.core.algorithms import searchsorted, take, unique
from pandas.core.arrays.base import ExtensionArray, ExtensionOpsMixin
-import pandas.core.common as com
from pandas.core.construction import extract_array
-from pandas.core.indexers import check_bool_array_indexer
+from pandas.core.indexers import check_array_indexer
from pandas.core.missing import backfill_1d, pad_1d
@@ -234,8 +233,7 @@ def __getitem__(self, item):
if isinstance(item, type(self)):
item = item._ndarray
- elif com.is_bool_indexer(item):
- item = check_bool_array_indexer(self, item)
+ item = check_array_indexer(self, item)
result = self._ndarray[item]
if not lib.is_scalar(item):
diff --git a/pandas/core/arrays/sparse/array.py b/pandas/core/arrays/sparse/array.py
index 75dd603aa6c7b..b476a019c66cc 100644
--- a/pandas/core/arrays/sparse/array.py
+++ b/pandas/core/arrays/sparse/array.py
@@ -43,6 +43,7 @@
from pandas.core.base import PandasObject
import pandas.core.common as com
from pandas.core.construction import sanitize_array
+from pandas.core.indexers import check_array_indexer
from pandas.core.missing import interpolate_2d
import pandas.core.ops as ops
from pandas.core.ops.common import unpack_zerodim_and_defer
@@ -768,6 +769,8 @@ def __getitem__(self, key):
else:
key = np.asarray(key)
+ key = check_array_indexer(self, key)
+
if com.is_bool_indexer(key):
key = check_bool_indexer(self, key)
diff --git a/pandas/core/common.py b/pandas/core/common.py
index c883ec9fa49b7..8c52999c4a79e 100644
--- a/pandas/core/common.py
+++ b/pandas/core/common.py
@@ -121,8 +121,8 @@ def is_bool_indexer(key: Any) -> bool:
See Also
--------
- check_bool_array_indexer : Check that `key`
- is a valid mask for an array, and convert to an ndarray.
+ check_array_indexer : Check that `key` is a valid array to index,
+ and convert to an ndarray.
"""
na_msg = "cannot mask with array containing NA / NaN values"
if isinstance(key, (ABCSeries, np.ndarray, ABCIndex)) or (
diff --git a/pandas/core/indexers.py b/pandas/core/indexers.py
index 4d45769d2fea9..fe475527f4596 100644
--- a/pandas/core/indexers.py
+++ b/pandas/core/indexers.py
@@ -1,11 +1,18 @@
"""
Low-dependency indexing utilities.
"""
+import warnings
+
import numpy as np
-from pandas._typing import AnyArrayLike
+from pandas._typing import Any, AnyArrayLike
-from pandas.core.dtypes.common import is_list_like
+from pandas.core.dtypes.common import (
+ is_array_like,
+ is_bool_dtype,
+ is_integer_dtype,
+ is_list_like,
+)
from pandas.core.dtypes.generic import ABCIndexClass, ABCSeries
# -----------------------------------------------------------
@@ -244,33 +251,65 @@ def length_of_indexer(indexer, target=None) -> int:
raise AssertionError("cannot find the length of the indexer")
-def check_bool_array_indexer(array: AnyArrayLike, mask: AnyArrayLike) -> np.ndarray:
+def deprecate_ndim_indexing(result):
+ """
+ Helper function to raise the deprecation warning for multi-dimensional
+ indexing on 1D Series/Index.
+
+ GH#27125 indexer like idx[:, None] expands dim, but we cannot do that
+ and keep an index, so we currently return ndarray, which is deprecated
+ (Deprecation GH#30588).
"""
- Check if `mask` is a valid boolean indexer for `array`.
+ if np.ndim(result) > 1:
+ warnings.warn(
+ "Support for multi-dimensional indexing (e.g. `index[:, None]`) "
+ "on an Index is deprecated and will be removed in a future "
+ "version. Convert to a numpy array before indexing instead.",
+ DeprecationWarning,
+ stacklevel=3,
+ )
+
+
+# -----------------------------------------------------------
+# Public indexer validation
- `array` and `mask` are checked to have the same length, and the
- dtype is validated.
+
+def check_array_indexer(array: AnyArrayLike, indexer: Any) -> Any:
+ """
+ Check if `indexer` is a valid array indexer for `array`.
+
+ For a boolean mask, `array` and `indexer` are checked to have the same
+ length. The dtype is validated, and if it is an integer or boolean
+ ExtensionArray, it is checked if there are missing values present, and
+ it is converted to the appropriate numpy array. Other dtypes will raise
+ an error.
+
+ Non-array indexers (integer, slice, Ellipsis, tuples, ..) are passed
+ through as is.
.. versionadded:: 1.0.0
Parameters
----------
- array : array
- The array that's being masked.
- mask : array
- The boolean array that's masking.
+ array : array-like
+ The array that is being indexed (only used for the length).
+ indexer : array-like or list-like
+ The array-like that's used to index. List-like input that is not yet
+ a numpy array or an ExtensionArray is converted to one. Other input
+ types are passed through as is
Returns
-------
numpy.ndarray
- The validated boolean mask.
+ The validated indexer as a numpy array that can be used to index.
Raises
------
IndexError
When the lengths don't match.
ValueError
- When `mask` cannot be converted to a bool-dtype ndarray.
+ When `indexer` cannot be converted to a numpy ndarray to index
+ (e.g. presence of missing values).
See Also
--------
@@ -278,32 +317,100 @@ def check_bool_array_indexer(array: AnyArrayLike, mask: AnyArrayLike) -> np.ndar
Examples
--------
- A boolean ndarray is returned when the arguments are all valid.
+ When checking a boolean mask, a boolean ndarray is returned when the
+ arguments are all valid.
>>> mask = pd.array([True, False])
>>> arr = pd.array([1, 2])
- >>> pd.api.extensions.check_bool_array_indexer(arr, mask)
+ >>> pd.api.indexers.check_array_indexer(arr, mask)
array([ True, False])
An IndexError is raised when the lengths don't match.
>>> mask = pd.array([True, False, True])
- >>> pd.api.extensions.check_bool_array_indexer(arr, mask)
+ >>> pd.api.indexers.check_array_indexer(arr, mask)
Traceback (most recent call last):
...
- IndexError: Item wrong length 3 instead of 2.
+ IndexError: Boolean index has wrong length: 3 instead of 2.
A ValueError is raised when the mask cannot be converted to
a bool-dtype ndarray.
>>> mask = pd.array([True, pd.NA])
- >>> pd.api.extensions.check_bool_array_indexer(arr, mask)
+ >>> pd.api.indexers.check_array_indexer(arr, mask)
+ Traceback (most recent call last):
+ ...
+ ValueError: Cannot mask with a boolean indexer containing NA values
+
+ A numpy boolean mask will get passed through (if the length is correct):
+
+ >>> mask = np.array([True, False])
+ >>> pd.api.indexers.check_array_indexer(arr, mask)
+ array([ True, False])
+
+ Similarly for integer indexers, an integer ndarray is returned when it is
+ a valid indexer, otherwise an error is (for integer indexers, a matching
+ length is not required):
+
+ >>> indexer = pd.array([0, 2], dtype="Int64")
+ >>> arr = pd.array([1, 2, 3])
+ >>> pd.api.indexers.check_array_indexer(arr, indexer)
+ array([0, 2])
+
+ >>> indexer = pd.array([0, pd.NA], dtype="Int64")
+ >>> pd.api.indexers.check_array_indexer(arr, indexer)
+ Traceback (most recent call last):
+ ...
+ ValueError: Cannot index with an integer indexer containing NA values
+
+ For non-integer/boolean dtypes, an appropriate error is raised:
+
+ >>> indexer = np.array([0., 2.], dtype="float64")
+ >>> pd.api.indexers.check_array_indexer(arr, indexer)
Traceback (most recent call last):
...
- ValueError: cannot convert to bool numpy array in presence of missing values
+ IndexError: arrays used as indices must be of integer or boolean type
"""
- result = np.asarray(mask, dtype=bool)
- # GH26658
- if len(result) != len(array):
- raise IndexError(f"Item wrong length {len(result)} instead of {len(array)}.")
- return result
+ from pandas.core.construction import array as pd_array
+
+ # whathever is not an array-like is returned as-is (possible valid array
+ # indexers that are not array-like: integer, slice, Ellipsis, None)
+ # In this context, tuples are not considered as array-like, as they have
+ # a specific meaning in indexing (multi-dimensional indexing)
+ if is_list_like(indexer):
+ if isinstance(indexer, tuple):
+ return indexer
+ else:
+ return indexer
+
+ # convert list-likes to array
+ if not is_array_like(indexer):
+ indexer = pd_array(indexer)
+ if len(indexer) == 0:
+ # empty list is converted to float array by pd.array
+ indexer = np.array([], dtype=np.intp)
+
+ dtype = indexer.dtype
+ if is_bool_dtype(dtype):
+ try:
+ indexer = np.asarray(indexer, dtype=bool)
+ except ValueError:
+ raise ValueError("Cannot mask with a boolean indexer containing NA values")
+
+ # GH26658
+ if len(indexer) != len(array):
+ raise IndexError(
+ f"Boolean index has wrong length: "
+ f"{len(indexer)} instead of {len(array)}"
+ )
+ elif is_integer_dtype(dtype):
+ try:
+ indexer = np.asarray(indexer, dtype=np.intp)
+ except ValueError:
+ raise ValueError(
+ "Cannot index with an integer indexer containing NA values"
+ )
+ else:
+ raise IndexError("arrays used as indices must be of integer or boolean type")
+
+ return indexer
diff --git a/pandas/core/indexes/base.py b/pandas/core/indexes/base.py
index 8ac8e51795ddc..1738c03e754b2 100644
--- a/pandas/core/indexes/base.py
+++ b/pandas/core/indexes/base.py
@@ -67,7 +67,7 @@
from pandas.core.arrays import ExtensionArray
from pandas.core.base import IndexOpsMixin, PandasObject
import pandas.core.common as com
-from pandas.core.indexers import maybe_convert_indices
+from pandas.core.indexers import deprecate_ndim_indexing, maybe_convert_indices
from pandas.core.indexes.frozen import FrozenList
import pandas.core.missing as missing
from pandas.core.ops import get_op_result_name
@@ -5825,19 +5825,3 @@ def _try_convert_to_int_array(
pass
raise ValueError
-
-
-def deprecate_ndim_indexing(result):
- if np.ndim(result) > 1:
- # GH#27125 indexer like idx[:, None] expands dim, but we
- # cannot do that and keep an index, so return ndarray
- # Deprecation GH#30588
- # Note: update SingleBlockManager.get_slice when the DeprecationWarning
- # is elevated to a FutureWarning
- warnings.warn(
- "Support for multi-dimensional indexing (e.g. `index[:, None]`) "
- "on an Index is deprecated and will be removed in a future "
- "version. Convert to a numpy array before indexing instead.",
- DeprecationWarning,
- stacklevel=3,
- )
diff --git a/pandas/core/indexes/extension.py b/pandas/core/indexes/extension.py
index 830f7c14a5493..d5664d760114e 100644
--- a/pandas/core/indexes/extension.py
+++ b/pandas/core/indexes/extension.py
@@ -16,7 +16,8 @@
from pandas.core.dtypes.generic import ABCSeries
from pandas.core.arrays import ExtensionArray
-from pandas.core.indexes.base import Index, deprecate_ndim_indexing
+from pandas.core.indexers import deprecate_ndim_indexing
+from pandas.core.indexes.base import Index
from pandas.core.ops import get_op_result_name
diff --git a/pandas/core/indexing.py b/pandas/core/indexing.py
index d79f0f484c5fe..6a679708206fc 100755
--- a/pandas/core/indexing.py
+++ b/pandas/core/indexing.py
@@ -15,7 +15,6 @@
is_numeric_dtype,
is_scalar,
is_sequence,
- is_sparse,
)
from pandas.core.dtypes.concat import concat_compat
from pandas.core.dtypes.generic import ABCDataFrame, ABCMultiIndex, ABCSeries
@@ -23,7 +22,7 @@
import pandas.core.common as com
from pandas.core.indexers import (
- check_bool_array_indexer,
+ check_array_indexer,
is_list_like_indexer,
length_of_indexer,
)
@@ -2231,9 +2230,9 @@ def check_bool_indexer(index: Index, key) -> np.ndarray:
)
result = result.astype(bool)._values
else:
- if is_sparse(result):
- result = np.asarray(result)
- result = check_bool_array_indexer(index, result)
+ # key might be sparse / object-dtype bool, check_array_indexer needs bool array
+ result = np.asarray(result, dtype=bool)
+ result = check_array_indexer(index, result)
return result
diff --git a/pandas/tests/extension/base/getitem.py b/pandas/tests/extension/base/getitem.py
index e0f3a4754221f..8615a8df22dcc 100644
--- a/pandas/tests/extension/base/getitem.py
+++ b/pandas/tests/extension/base/getitem.py
@@ -97,6 +97,15 @@ def test_getitem_scalar_na(self, data_missing, na_cmp, na_value):
result = data_missing[0]
assert na_cmp(result, na_value)
+ def test_getitem_empty(self, data):
+ # Indexing with empty list
+ result = data[[]]
+ assert len(result) == 0
+ assert isinstance(result, type(data))
+
+ expected = data[np.array([], dtype="int64")]
+ self.assert_extension_array_equal(result, expected)
+
def test_getitem_mask(self, data):
# Empty mask, raw array
mask = np.zeros(len(data), dtype=bool)
@@ -152,7 +161,12 @@ def test_getitem_boolean_array_mask(self, data):
def test_getitem_boolean_array_mask_raises(self, data):
mask = pd.array(np.zeros(data.shape, dtype="bool"), dtype="boolean")
mask[:2] = pd.NA
- with pytest.raises(ValueError):
+
+ msg = (
+ "Cannot mask with a boolean indexer containing NA values|"
+ "cannot mask with array containing NA / NaN values"
+ )
+ with pytest.raises(ValueError, match=msg):
data[mask]
s = pd.Series(data)
@@ -160,6 +174,38 @@ def test_getitem_boolean_array_mask_raises(self, data):
with pytest.raises(ValueError):
s[mask]
+ @pytest.mark.parametrize(
+ "idx",
+ [[0, 1, 2], pd.array([0, 1, 2], dtype="Int64"), np.array([0, 1, 2])],
+ ids=["list", "integer-array", "numpy-array"],
+ )
+ def test_getitem_integer_array(self, data, idx):
+ result = data[idx]
+ assert len(result) == 3
+ assert isinstance(result, type(data))
+ expected = data.take([0, 1, 2])
+ self.assert_extension_array_equal(result, expected)
+
+ expected = pd.Series(expected)
+ result = pd.Series(data)[idx]
+ self.assert_series_equal(result, expected)
+
+ @pytest.mark.parametrize(
+ "idx",
+ [[0, 1, 2, pd.NA], pd.array([0, 1, 2, pd.NA], dtype="Int64")],
+ ids=["list", "integer-array"],
+ )
+ def test_getitem_integer_with_missing_raises(self, data, idx):
+ msg = "Cannot index with an integer indexer containing NA values"
+ with pytest.raises(ValueError, match=msg):
+ data[idx]
+
+ # TODO this raises KeyError about labels not found (it tries label-based)
+ # import pandas._testing as tm
+ # s = pd.Series(data, index=[tm.rands(4) for _ in range(len(data))])
+ # with pytest.raises(ValueError, match=msg):
+ # s[idx]
+
def test_getitem_slice(self, data):
# getitem[slice] should return an array
result = data[slice(0)] # empty
diff --git a/pandas/tests/extension/decimal/array.py b/pandas/tests/extension/decimal/array.py
index 46ab8fe9a62ed..02153ade46610 100644
--- a/pandas/tests/extension/decimal/array.py
+++ b/pandas/tests/extension/decimal/array.py
@@ -110,14 +110,7 @@ def __getitem__(self, item):
return self._data[item]
else:
# array, slice.
- if pd.api.types.is_list_like(item):
- if not pd.api.types.is_array_like(item):
- item = pd.array(item)
- dtype = item.dtype
- if pd.api.types.is_bool_dtype(dtype):
- item = pd.api.indexers.check_bool_array_indexer(self, item)
- elif pd.api.types.is_integer_dtype(dtype):
- item = np.asarray(item, dtype="int")
+ item = pd.api.indexers.check_array_indexer(self, item)
return type(self)(self._data[item])
def take(self, indexer, allow_fill=False, fill_value=None):
diff --git a/pandas/tests/extension/json/array.py b/pandas/tests/extension/json/array.py
index dc4653bd01dea..9e741bb7f267c 100644
--- a/pandas/tests/extension/json/array.py
+++ b/pandas/tests/extension/json/array.py
@@ -76,11 +76,8 @@ def __getitem__(self, item):
# slice
return type(self)(self.data[item])
else:
- if not pd.api.types.is_array_like(item):
- item = pd.array(item)
- dtype = item.dtype
- if pd.api.types.is_bool_dtype(dtype):
- item = pd.api.indexers.check_bool_array_indexer(self, item)
+ item = pd.api.indexers.check_array_indexer(self, item)
+ if pd.api.types.is_bool_dtype(item.dtype):
return self._from_sequence([x for x, m in zip(self, item) if m])
# integer
return type(self)([self.data[i] for i in item])
diff --git a/pandas/tests/indexes/categorical/test_category.py b/pandas/tests/indexes/categorical/test_category.py
index c69c1f3f386a9..d870259c2539b 100644
--- a/pandas/tests/indexes/categorical/test_category.py
+++ b/pandas/tests/indexes/categorical/test_category.py
@@ -976,12 +976,6 @@ def test_engine_type(self, dtype, engine_type):
assert np.issubdtype(ci.codes.dtype, dtype)
assert isinstance(ci._engine, engine_type)
- def test_getitem_2d_deprecated(self):
- # GH#30588 multi-dim indexing is deprecated, but raising is also acceptable
- idx = self.create_index()
- with pytest.raises(ValueError, match="cannot mask with array containing NA"):
- idx[:, None]
-
@pytest.mark.parametrize(
"data, categories",
[
diff --git a/pandas/tests/indexing/test_check_indexer.py b/pandas/tests/indexing/test_check_indexer.py
new file mode 100644
index 0000000000000..82f8c12229824
--- /dev/null
+++ b/pandas/tests/indexing/test_check_indexer.py
@@ -0,0 +1,97 @@
+import numpy as np
+import pytest
+
+import pandas as pd
+import pandas._testing as tm
+from pandas.api.indexers import check_array_indexer
+
+
+@pytest.mark.parametrize(
+ "indexer, expected",
+ [
+ # integer
+ ([1, 2], np.array([1, 2], dtype=np.intp)),
+ (np.array([1, 2], dtype="int64"), np.array([1, 2], dtype=np.intp)),
+ (pd.array([1, 2], dtype="Int32"), np.array([1, 2], dtype=np.intp)),
+ (pd.Index([1, 2]), np.array([1, 2], dtype=np.intp)),
+ # boolean
+ ([True, False, True], np.array([True, False, True], dtype=np.bool_)),
+ (np.array([True, False, True]), np.array([True, False, True], dtype=np.bool_)),
+ (
+ pd.array([True, False, True], dtype="boolean"),
+ np.array([True, False, True], dtype=np.bool_),
+ ),
+ # other
+ ([], np.array([], dtype=np.intp)),
+ ],
+)
+def test_valid_input(indexer, expected):
+ array = np.array([1, 2, 3])
+ result = check_array_indexer(array, indexer)
+ tm.assert_numpy_array_equal(result, expected)
+
+
+@pytest.mark.parametrize(
+ "indexer", [[True, False, None], pd.array([True, False, None], dtype="boolean")],
+)
+def test_bool_raise_missing_values(indexer):
+ array = np.array([1, 2, 3])
+
+ msg = "Cannot mask with a boolean indexer containing NA values"
+ with pytest.raises(ValueError, match=msg):
+ check_array_indexer(array, indexer)
+
+
+@pytest.mark.parametrize(
+ "indexer",
+ [
+ [True, False],
+ pd.array([True, False], dtype="boolean"),
+ np.array([True, False], dtype=np.bool_),
+ ],
+)
+def test_bool_raise_length(indexer):
+ array = np.array([1, 2, 3])
+
+ msg = "Boolean index has wrong length"
+ with pytest.raises(IndexError, match=msg):
+ check_array_indexer(array, indexer)
+
+
+@pytest.mark.parametrize(
+ "indexer", [[0, 1, None], pd.array([0, 1, pd.NA], dtype="Int64")],
+)
+def test_int_raise_missing_values(indexer):
+ array = np.array([1, 2, 3])
+
+ msg = "Cannot index with an integer indexer containing NA values"
+ with pytest.raises(ValueError, match=msg):
+ check_array_indexer(array, indexer)
+
+
+@pytest.mark.parametrize(
+ "indexer",
+ [
+ [0.0, 1.0],
+ np.array([1.0, 2.0], dtype="float64"),
+ np.array([True, False], dtype=object),
+ pd.Index([True, False], dtype=object),
+ pd.array(["a", "b"], dtype="string"),
+ ],
+)
+def test_raise_invalid_array_dtypes(indexer):
+ array = np.array([1, 2, 3])
+
+ msg = "arrays used as indices must be of integer or boolean type"
+ with pytest.raises(IndexError, match=msg):
+ check_array_indexer(array, indexer)
+
+
+@pytest.mark.parametrize(
+ "indexer", [None, Ellipsis, slice(0, 3), (None,)],
+)
+def test_pass_through_non_array_likes(indexer):
+ array = np.array([1, 2, 3])
+
+ result = check_array_indexer(array, indexer)
+ assert result == indexer
diff --git a/pandas/tests/indexing/test_iloc.py b/pandas/tests/indexing/test_iloc.py
index 48c25ec034653..d67259e8b7d40 100644
--- a/pandas/tests/indexing/test_iloc.py
+++ b/pandas/tests/indexing/test_iloc.py
@@ -249,10 +249,10 @@ def test_iloc_getitem_bool(self):
def test_iloc_getitem_bool_diff_len(self, index):
# GH26658
s = Series([1, 2, 3])
- with pytest.raises(
- IndexError,
- match=("Item wrong length {} instead of {}.".format(len(index), len(s))),
- ):
+ msg = "Boolean index has wrong length: {} instead of {}".format(
+ len(index), len(s)
+ )
+ with pytest.raises(IndexError, match=msg):
_ = s.iloc[index]
def test_iloc_getitem_slice(self):
diff --git a/pandas/tests/indexing/test_loc.py b/pandas/tests/indexing/test_loc.py
index 4c1436b800fc3..b9dc96adfa738 100644
--- a/pandas/tests/indexing/test_loc.py
+++ b/pandas/tests/indexing/test_loc.py
@@ -200,10 +200,10 @@ def test_loc_getitem_bool(self):
def test_loc_getitem_bool_diff_len(self, index):
# GH26658
s = Series([1, 2, 3])
- with pytest.raises(
- IndexError,
- match=("Item wrong length {} instead of {}.".format(len(index), len(s))),
- ):
+ msg = "Boolean index has wrong length: {} instead of {}".format(
+ len(index), len(s)
+ )
+ with pytest.raises(IndexError, match=msg):
_ = s.loc[index]
def test_loc_getitem_int_slice(self):
| Closes https://github.com/pandas-dev/pandas/issues/30738. Also fixes the performance issue for other arrays from https://github.com/pandas-dev/pandas/issues/30744, and related to https://github.com/pandas-dev/pandas/pull/30308#issuecomment-571146305
This generalizes the `check_bool_array_indexer` helper method that we added for 1.0.0 to not be specific to boolean arrays, but any array-like input, and ensures that the output is a proper numpy array that can be used to index into numpy arrays.
I think such a more general "check" is useful, to avoid that all (external+internal) EAs need to do what the test EAs are already doing (checking for integer arrays as well) at https://github.com/pandas-dev/pandas/blob/master/pandas/tests/extension/decimal/array.py#L118-L126, and also to fix the performance issue in a general way (as was now only done for Categorical in https://github.com/pandas-dev/pandas/pull/30747/files)
If we agree on the general idea, I still need to clean up this PR (eg remove the existing `check_bool_array_indexer`, update the extending docs, etc)
cc @TomAugspurger | https://api.github.com/repos/pandas-dev/pandas/pulls/31150 | 2020-01-20T13:00:52Z | 2020-01-29T12:04:58Z | 2020-01-29T12:04:57Z | 2020-01-29T14:46:57Z |
DOC: replace long table of contents on home page with main links | diff --git a/doc/source/_static/css/pandas.css b/doc/source/_static/css/pandas.css
new file mode 100644
index 0000000000000..84dbba823afa0
--- /dev/null
+++ b/doc/source/_static/css/pandas.css
@@ -0,0 +1,40 @@
+/* Getting started index page */
+
+.intro-card {
+ background: #fff;
+ border-radius: 0;
+ padding: 30px 10px 10px 10px;
+ margin: 10px 0px;
+}
+
+.intro-card .card-text {
+ margin: 20px 0px;
+ /*min-height: 150px; */
+}
+
+.intro-card .card-img-top {
+ margin: 10px;
+}
+
+.custom-button {
+ background-color: #dcdcdc;
+ border: none;
+ color: #484848;
+ text-align: center;
+ text-decoration: none;
+ display: inline-block;
+ font-size: 0.9rem;
+ border-radius: 0.5rem;
+ max-width: 220px;
+ padding: 0.5rem 0rem;
+}
+
+.custom-button a {
+ color: #484848;
+}
+
+.custom-button p {
+ margin-top: 0;
+ margin-bottom: 0rem;
+ color: #484848;
+}
diff --git a/doc/source/_static/index_api.svg b/doc/source/_static/index_api.svg
new file mode 100644
index 0000000000000..70bf0d3504b1a
--- /dev/null
+++ b/doc/source/_static/index_api.svg
@@ -0,0 +1,97 @@
+<?xml version="1.0" encoding="UTF-8" standalone="no"?>
+<!-- Created with Inkscape (http://www.inkscape.org/) -->
+
+<svg
+ xmlns:dc="http://purl.org/dc/elements/1.1/"
+ xmlns:cc="http://creativecommons.org/ns#"
+ xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#"
+ xmlns:svg="http://www.w3.org/2000/svg"
+ xmlns="http://www.w3.org/2000/svg"
+ xmlns:sodipodi="http://sodipodi.sourceforge.net/DTD/sodipodi-0.dtd"
+ xmlns:inkscape="http://www.inkscape.org/namespaces/inkscape"
+ width="99.058548mm"
+ height="89.967583mm"
+ viewBox="0 0 99.058554 89.967582"
+ version="1.1"
+ id="svg1040"
+ inkscape:version="0.92.4 (f8dce91, 2019-08-02)"
+ sodipodi:docname="index_api.svg">
+ <defs
+ id="defs1034" />
+ <sodipodi:namedview
+ id="base"
+ pagecolor="#ffffff"
+ bordercolor="#666666"
+ borderopacity="1.0"
+ inkscape:pageopacity="0.0"
+ inkscape:pageshadow="2"
+ inkscape:zoom="0.35"
+ inkscape:cx="533.74914"
+ inkscape:cy="10.90433"
+ inkscape:document-units="mm"
+ inkscape:current-layer="layer1"
+ showgrid="false"
+ fit-margin-top="0"
+ fit-margin-left="0"
+ fit-margin-right="0"
+ fit-margin-bottom="0"
+ inkscape:window-width="930"
+ inkscape:window-height="472"
+ inkscape:window-x="2349"
+ inkscape:window-y="267"
+ inkscape:window-maximized="0" />
+ <metadata
+ id="metadata1037">
+ <rdf:RDF>
+ <cc:Work
+ rdf:about="">
+ <dc:format>image/svg+xml</dc:format>
+ <dc:type
+ rdf:resource="http://purl.org/dc/dcmitype/StillImage" />
+ <dc:title></dc:title>
+ </cc:Work>
+ </rdf:RDF>
+ </metadata>
+ <g
+ inkscape:label="Layer 1"
+ inkscape:groupmode="layer"
+ id="layer1"
+ transform="translate(195.19933,-1.0492759)">
+ <g
+ id="g1008"
+ transform="matrix(1.094977,0,0,1.094977,-521.5523,-198.34055)">
+ <path
+ inkscape:connector-curvature="0"
+ id="path899"
+ d="M 324.96812,187.09499 H 303.0455 v 72.1639 h 22.67969"
+ style="fill:none;stroke:#150458;stroke-width:10;stroke-linecap:butt;stroke-linejoin:miter;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path899-3"
+ d="m 361.58921,187.09499 h 21.92262 v 72.1639 h -22.67969"
+ style="fill:none;stroke:#150458;stroke-width:10;stroke-linecap:butt;stroke-linejoin:miter;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1" />
+ <g
+ transform="translate(415.87139,46.162126)"
+ id="g944">
+ <circle
+ style="fill:#150458;fill-opacity:1;stroke:#150458;stroke-width:4.53704548;stroke-linecap:round;stroke-linejoin:round;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ id="path918"
+ cx="-84.40152"
+ cy="189.84375"
+ r="2.2293637" />
+ <circle
+ style="fill:#150458;fill-opacity:1;stroke:#150458;stroke-width:4.53704548;stroke-linecap:round;stroke-linejoin:round;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ id="path918-5"
+ cx="-72.949402"
+ cy="189.84375"
+ r="2.2293637" />
+ <circle
+ style="fill:#150458;fill-opacity:1;stroke:#150458;stroke-width:4.53704548;stroke-linecap:round;stroke-linejoin:round;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1"
+ id="path918-6"
+ cx="-61.497284"
+ cy="189.84375"
+ r="2.2293637" />
+ </g>
+ </g>
+ </g>
+</svg>
diff --git a/doc/source/_static/index_contribute.svg b/doc/source/_static/index_contribute.svg
new file mode 100644
index 0000000000000..e86c3e9fd0b3e
--- /dev/null
+++ b/doc/source/_static/index_contribute.svg
@@ -0,0 +1,76 @@
+<?xml version="1.0" encoding="UTF-8" standalone="no"?>
+<!-- Created with Inkscape (http://www.inkscape.org/) -->
+
+<svg
+ xmlns:dc="http://purl.org/dc/elements/1.1/"
+ xmlns:cc="http://creativecommons.org/ns#"
+ xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#"
+ xmlns:svg="http://www.w3.org/2000/svg"
+ xmlns="http://www.w3.org/2000/svg"
+ xmlns:sodipodi="http://sodipodi.sourceforge.net/DTD/sodipodi-0.dtd"
+ xmlns:inkscape="http://www.inkscape.org/namespaces/inkscape"
+ width="89.624855mm"
+ height="89.96759mm"
+ viewBox="0 0 89.62486 89.96759"
+ version="1.1"
+ id="svg1040"
+ inkscape:version="0.92.4 (f8dce91, 2019-08-02)"
+ sodipodi:docname="index_contribute.svg">
+ <defs
+ id="defs1034" />
+ <sodipodi:namedview
+ id="base"
+ pagecolor="#ffffff"
+ bordercolor="#666666"
+ borderopacity="1.0"
+ inkscape:pageopacity="0.0"
+ inkscape:pageshadow="2"
+ inkscape:zoom="0.35"
+ inkscape:cx="683.11893"
+ inkscape:cy="-59.078181"
+ inkscape:document-units="mm"
+ inkscape:current-layer="layer1"
+ showgrid="false"
+ fit-margin-top="0"
+ fit-margin-left="0"
+ fit-margin-right="0"
+ fit-margin-bottom="0"
+ inkscape:window-width="930"
+ inkscape:window-height="472"
+ inkscape:window-x="2349"
+ inkscape:window-y="267"
+ inkscape:window-maximized="0" />
+ <metadata
+ id="metadata1037">
+ <rdf:RDF>
+ <cc:Work
+ rdf:about="">
+ <dc:format>image/svg+xml</dc:format>
+ <dc:type
+ rdf:resource="http://purl.org/dc/dcmitype/StillImage" />
+ <dc:title></dc:title>
+ </cc:Work>
+ </rdf:RDF>
+ </metadata>
+ <g
+ inkscape:label="Layer 1"
+ inkscape:groupmode="layer"
+ id="layer1"
+ transform="translate(234.72009,17.466935)">
+ <g
+ id="g875"
+ transform="matrix(0.99300176,0,0,0.99300176,-133.24106,-172.58804)">
+ <path
+ sodipodi:nodetypes="ccc"
+ inkscape:connector-curvature="0"
+ id="path869"
+ d="m -97.139881,161.26069 47.247024,40.25446 -47.247024,40.25446"
+ style="fill:none;stroke:#150458;stroke-width:10;stroke-linecap:round;stroke-linejoin:round;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1" />
+ <path
+ inkscape:connector-curvature="0"
+ id="path871"
+ d="m -49.514879,241.81547 h 32.505951"
+ style="fill:none;stroke:#150458;stroke-width:10;stroke-linecap:round;stroke-linejoin:round;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1" />
+ </g>
+ </g>
+</svg>
diff --git a/doc/source/_static/index_getting_started.svg b/doc/source/_static/index_getting_started.svg
new file mode 100644
index 0000000000000..d00e462427193
--- /dev/null
+++ b/doc/source/_static/index_getting_started.svg
@@ -0,0 +1,66 @@
+<?xml version="1.0" encoding="UTF-8" standalone="no"?>
+<!-- Created with Inkscape (http://www.inkscape.org/) -->
+
+<svg
+ xmlns:dc="http://purl.org/dc/elements/1.1/"
+ xmlns:cc="http://creativecommons.org/ns#"
+ xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#"
+ xmlns:svg="http://www.w3.org/2000/svg"
+ xmlns="http://www.w3.org/2000/svg"
+ xmlns:sodipodi="http://sodipodi.sourceforge.net/DTD/sodipodi-0.dtd"
+ xmlns:inkscape="http://www.inkscape.org/namespaces/inkscape"
+ width="101.09389mm"
+ height="89.96759mm"
+ viewBox="0 0 101.09389 89.96759"
+ version="1.1"
+ id="svg1040"
+ inkscape:version="0.92.4 (f8dce91, 2019-08-02)"
+ sodipodi:docname="index_getting_started.svg">
+ <defs
+ id="defs1034" />
+ <sodipodi:namedview
+ id="base"
+ pagecolor="#ffffff"
+ bordercolor="#666666"
+ borderopacity="1.0"
+ inkscape:pageopacity="0.0"
+ inkscape:pageshadow="2"
+ inkscape:zoom="0.35"
+ inkscape:cx="-93.242129"
+ inkscape:cy="-189.9825"
+ inkscape:document-units="mm"
+ inkscape:current-layer="layer1"
+ showgrid="false"
+ fit-margin-top="0"
+ fit-margin-left="0"
+ fit-margin-right="0"
+ fit-margin-bottom="0"
+ inkscape:window-width="1875"
+ inkscape:window-height="1056"
+ inkscape:window-x="1965"
+ inkscape:window-y="0"
+ inkscape:window-maximized="1" />
+ <metadata
+ id="metadata1037">
+ <rdf:RDF>
+ <cc:Work
+ rdf:about="">
+ <dc:format>image/svg+xml</dc:format>
+ <dc:type
+ rdf:resource="http://purl.org/dc/dcmitype/StillImage" />
+ <dc:title></dc:title>
+ </cc:Work>
+ </rdf:RDF>
+ </metadata>
+ <g
+ inkscape:label="Layer 1"
+ inkscape:groupmode="layer"
+ id="layer1"
+ transform="translate(2.9219487,-8.5995374)">
+ <path
+ style="fill:#150458;fill-opacity:1;stroke-width:0.20233451"
+ d="M 37.270955,98.335591 C 33.358064,97.07991 31.237736,92.52319 32.964256,89.08022 c 0.18139,-0.361738 4.757999,-5.096629 10.17021,-10.521968 l 9.84041,-9.864254 -4.03738,-4.041175 -4.037391,-4.041172 -4.96415,4.916665 c -3.61569,3.581096 -5.238959,5.04997 -5.975818,5.407377 l -1.011682,0.490718 H 17.267525 1.5866055 L 0.65034544,70.96512 C -2.2506745,69.535833 -3.5952145,66.18561 -2.5925745,62.884631 c 0.53525,-1.762217 1.61699004,-3.050074 3.22528014,-3.839847 l 1.15623996,-0.56778 13.2591094,-0.05613 13.259111,-0.05613 11.5262,-11.527539 11.526199,-11.527528 H 40.622647 c -12.145542,0 -12.189222,-0.0046 -13.752801,-1.445851 -2.229871,-2.055423 -2.162799,-5.970551 0.135998,-7.938238 1.475193,-1.262712 1.111351,-1.238469 18.588522,-1.238469 12.899229,0 16.035311,0.05193 16.692589,0.276494 0.641832,0.219264 2.590731,2.051402 9.416301,8.852134 l 8.606941,8.575638 h 6.848168 c 4.837422,0 7.092281,0.07311 7.679571,0.249094 0.48064,0.144008 1.22985,0.634863 1.77578,1.163429 2.383085,2.307333 1.968685,6.539886 -0.804989,8.221882 -0.571871,0.346781 -1.38284,0.687226 -1.80217,0.756523 -0.41933,0.06928 -4.2741,0.127016 -8.56615,0.128238 -6.56998,0.0016 -7.977492,-0.04901 -8.902732,-0.321921 -0.975569,-0.287742 -1.400468,-0.622236 -3.783999,-2.978832 l -2.685021,-2.654679 -5.05411,5.051071 -5.0541,5.051081 3.926292,3.947202 c 2.365399,2.378001 4.114289,4.309171 4.399158,4.857713 0.39266,0.75606 0.47311,1.219412 0.474321,2.731516 0.003,3.083647 0.620779,2.331942 -13.598011,16.531349 -10.273768,10.259761 -12.679778,12.563171 -13.500979,12.92519 -1.267042,0.55857 -3.156169,0.681342 -4.390271,0.285321 z m 40.130741,-65.45839 c -2.212909,-0.579748 -3.782711,-1.498393 -5.51275,-3.226063 -2.522111,-2.518633 -3.633121,-5.181304 -3.633121,-8.707194 0,-3.530699 1.11238,-6.197124 3.631161,-8.704043 4.866751,-4.8438383 12.324781,-4.8550953 17.211791,-0.026 3.908758,3.862461 4.818578,9.377999 2.372188,14.380771 -0.846209,1.730481 -3.39493,4.326384 -5.143839,5.239072 -2.69708,1.407492 -6.042829,1.798628 -8.92543,1.043434 z"
+ id="path1000"
+ inkscape:connector-curvature="0" />
+ </g>
+</svg>
diff --git a/doc/source/_static/index_user_guide.svg b/doc/source/_static/index_user_guide.svg
new file mode 100644
index 0000000000000..a567103af5918
--- /dev/null
+++ b/doc/source/_static/index_user_guide.svg
@@ -0,0 +1,67 @@
+<?xml version="1.0" encoding="UTF-8" standalone="no"?>
+<!-- Created with Inkscape (http://www.inkscape.org/) -->
+
+<svg
+ xmlns:dc="http://purl.org/dc/elements/1.1/"
+ xmlns:cc="http://creativecommons.org/ns#"
+ xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#"
+ xmlns:svg="http://www.w3.org/2000/svg"
+ xmlns="http://www.w3.org/2000/svg"
+ xmlns:sodipodi="http://sodipodi.sourceforge.net/DTD/sodipodi-0.dtd"
+ xmlns:inkscape="http://www.inkscape.org/namespaces/inkscape"
+ width="123.72241mm"
+ height="89.96759mm"
+ viewBox="0 0 123.72242 89.96759"
+ version="1.1"
+ id="svg1040"
+ inkscape:version="0.92.4 (f8dce91, 2019-08-02)"
+ sodipodi:docname="index_userguide.svg">
+ <defs
+ id="defs1034" />
+ <sodipodi:namedview
+ id="base"
+ pagecolor="#ffffff"
+ bordercolor="#666666"
+ borderopacity="1.0"
+ inkscape:pageopacity="0.0"
+ inkscape:pageshadow="2"
+ inkscape:zoom="0.35"
+ inkscape:cx="332.26618"
+ inkscape:cy="83.744004"
+ inkscape:document-units="mm"
+ inkscape:current-layer="layer1"
+ showgrid="false"
+ fit-margin-top="0"
+ fit-margin-left="0"
+ fit-margin-right="0"
+ fit-margin-bottom="0"
+ inkscape:window-width="930"
+ inkscape:window-height="472"
+ inkscape:window-x="2349"
+ inkscape:window-y="267"
+ inkscape:window-maximized="0" />
+ <metadata
+ id="metadata1037">
+ <rdf:RDF>
+ <cc:Work
+ rdf:about="">
+ <dc:format>image/svg+xml</dc:format>
+ <dc:type
+ rdf:resource="http://purl.org/dc/dcmitype/StillImage" />
+ <dc:title></dc:title>
+ </cc:Work>
+ </rdf:RDF>
+ </metadata>
+ <g
+ inkscape:label="Layer 1"
+ inkscape:groupmode="layer"
+ id="layer1"
+ transform="translate(141.8903,-20.32143)">
+ <path
+ style="fill:#150458;fill-opacity:1;stroke-width:0.20483544"
+ d="m -139.53374,110.1657 c -0.80428,-0.24884 -1.71513,-1.11296 -2.07107,-1.96486 -0.23905,-0.57214 -0.28453,-6.28104 -0.28453,-35.720988 0,-38.274546 -0.079,-35.840728 1.19849,-36.91568 0.58869,-0.495345 4.63766,-2.187548 8.47998,-3.544073 l 1.58749,-0.560453 v -3.309822 c 0,-3.025538 0.0396,-3.388179 0.46086,-4.222122 0.68808,-1.362003 1.38671,-1.714455 4.60319,-2.322195 4.12797,-0.779966 5.13304,-0.912766 8.81544,-1.16476 11.80964,-0.808168 22.80911,2.509277 30.965439,9.3392 1.750401,1.465747 3.840861,3.5635 5.0903,5.108065 l 0.659122,0.814805 0.659109,-0.814805 c 1.249431,-1.544565 3.33988,-3.642318 5.09029,-5.108065 8.156331,-6.829923 19.155791,-10.147368 30.965441,-9.3392 3.682389,0.251994 4.68748,0.384794 8.81544,1.16476 3.21647,0.60774 3.91511,0.960192 4.60318,2.322195 0.4213,0.833943 0.46087,1.196584 0.46087,4.222122 v 3.309822 l 1.58748,0.560453 c 4.10165,1.448077 7.98852,3.072753 8.5259,3.563743 1.22643,1.120567 1.15258,-1.245868 1.15258,36.927177 0,34.567591 -0.005,35.083151 -0.40663,35.903991 -0.22365,0.45804 -0.73729,1.05665 -1.14143,1.33024 -1.22281,0.82783 -2.17721,0.70485 -5.86813,-0.7561 -9.19595,-3.63998 -18.956011,-6.38443 -26.791332,-7.53353 -3.02827,-0.44412 -9.26189,-0.61543 -11.77821,-0.3237 -5.19357,0.60212 -8.736108,2.05527 -11.700039,4.79936 -0.684501,0.63371 -1.466141,1.23646 -1.736979,1.33942 -0.63859,0.2428 -4.236521,0.2428 -4.875112,0 -0.27083,-0.10296 -1.05247,-0.70571 -1.73696,-1.33942 -2.96395,-2.74409 -6.50648,-4.19724 -11.700058,-4.79936 -2.516312,-0.29173 -8.749941,-0.12042 -11.778201,0.3237 -7.78194,1.14127 -17.39965,3.83907 -26.73341,7.49883 -3.38325,1.32658 -4.15525,1.50926 -5.11851,1.21125 z m 4.2107,-5.34052 c 5.86759,-2.29858 14.40398,-4.922695 20.2018,-6.210065 6.31584,-1.402418 8.5236,-1.646248 14.91592,-1.647338 4.68699,-7.94e-4 6.013661,0.0632 7.257809,0.3497 0.837332,0.19286 1.561052,0.312028 1.60828,0.264819 0.147111,-0.147119 -1.803289,-1.307431 -4.154879,-2.471801 -8.12511,-4.023029 -18.27311,-4.986568 -29.0861,-2.761718 -1.09536,0.22538 -2.32708,0.40827 -2.73715,0.406418 -1.12787,-0.005 -2.3054,-0.76382 -2.84516,-1.8332 l -0.46086,-0.913098 V 62.99179 35.97471 l -0.56331,0.138329 c -0.30981,0.07608 -1.89985,0.665075 -3.5334,1.308881 -2.27551,0.896801 -2.96414,1.252878 -2.94452,1.522563 0.014,0.193604 0.0372,15.284513 0.0512,33.535345 0.014,18.250839 0.0538,33.183322 0.0884,33.183322 0.0346,0 1.02543,-0.3771 2.20198,-0.83801 z m 113.006991,-32.697216 -0.0518,-33.535203 -3.17495,-1.272156 c -1.74623,-0.699685 -3.33627,-1.278755 -3.53341,-1.286819 -0.33966,-0.01389 -0.35847,1.401778 -0.35847,26.980216 v 26.994863 l -0.46087,0.913112 c -0.53976,1.06939 -1.71729,1.828088 -2.84515,1.833189 -0.41008,0.0021 -1.6418,-0.181031 -2.73716,-0.406421 -11.888201,-2.446089 -22.84337,-1.046438 -31.491022,4.02332 -1.68175,0.985941 -2.216748,1.467501 -1.36534,1.228942 1.575181,-0.441362 4.990592,-0.73864 8.524862,-0.742011 5.954408,-0.005 11.43046,0.791951 19.10874,2.78333 3.9516,1.024874 12.1555,3.687454 15.6699,5.085704 1.23926,0.49306 2.36869,0.90517 2.50985,0.9158 0.20489,0.0155 0.2462,-6.745894 0.20483,-33.515866 z m -59.76135,-2.233777 V 40.065438 l -0.95972,-1.357442 c -1.380522,-1.952627 -5.376262,-5.847994 -7.64336,-7.45136 -3.778692,-2.672401 -9.063392,-4.943324 -13.672511,-5.875304 -3.19731,-0.646503 -5.23069,-0.833103 -9.05886,-0.831312 -4.37716,0.0021 -7.70223,0.349169 -11.83461,1.235469 l -1.07538,0.230645 v 31.242342 c 0,26.565778 0.0426,31.226011 0.28429,31.133261 0.15637,-0.06 1.42379,-0.297169 2.81648,-0.527026 12.37657,-2.042634 23.21658,-0.346861 32.521639,5.087596 2.10018,1.226558 5.20202,3.618878 6.880942,5.30692 0.788609,0.792909 1.502978,1.446609 1.587468,1.452679 0.0845,0.006 0.153622,-13.411893 0.153622,-29.817719 z m 5.80221,28.3766 c 6.21476,-6.141601 15.08488,-10.061509 25.025529,-11.05933 4.262419,-0.427849 11.579921,-0.0054 16.017661,0.924912 0.75932,0.15916 1.45259,0.244888 1.54058,0.190498 0.088,-0.05434 0.16003,-14.060382 0.16003,-31.124436 V 26.176883 l -0.52136,-0.198219 c -0.66893,-0.254325 -4.77649,-0.95482 -7.159981,-1.221048 -2.41372,-0.269605 -8.559851,-0.266589 -10.759229,0.0052 -6.458111,0.798299 -12.584091,3.083792 -17.405651,6.49374 -2.267091,1.603366 -6.262831,5.498733 -7.64336,7.45136 l -0.959721,1.357438 v 29.828747 c 0,16.405812 0.0532,29.828746 0.11802,29.828746 0.065,0 0.77928,-0.65347 1.587482,-1.452149 z"
+ id="path845"
+ inkscape:connector-curvature="0"
+ sodipodi:nodetypes="csscccscsssscsssssscscsccsccsccscsscccccccscccccccccsccscscscccscccsccssccsscccscccccsccccsccscsccsscc" />
+ </g>
+</svg>
diff --git a/doc/source/conf.py b/doc/source/conf.py
index 57c1bede98cc1..28df08a8607b9 100644
--- a/doc/source/conf.py
+++ b/doc/source/conf.py
@@ -230,6 +230,10 @@
# so a file named "default.css" will overwrite the builtin "default.css".
html_static_path = ["_static"]
+html_css_files = [
+ "css/pandas.css",
+]
+
# The name of an image file (within the static path) to use as favicon of the
# docs. This file should be a Windows icon file (.ico) being 16x16 or 32x32
# pixels large.
diff --git a/doc/source/index.rst.template b/doc/source/index.rst.template
index 4ced92cbda81a..5690bb2e4a875 100644
--- a/doc/source/index.rst.template
+++ b/doc/source/index.rst.template
@@ -1,10 +1,12 @@
+:notoc:
+
.. pandas documentation master file, created by
.. module:: pandas
-*********************************************
-pandas: powerful Python data analysis toolkit
-*********************************************
+********************
+pandas documentation
+********************
**Date**: |today| **Version**: |version|
@@ -21,7 +23,83 @@ pandas: powerful Python data analysis toolkit
easy-to-use data structures and data analysis tools for the `Python <https://www.python.org/>`__
programming language.
-See the :ref:`overview` for more detail about what's in the library.
+.. raw:: html
+
+ <div class="container">
+ <div class="row">
+ <div class="col-lg-6 col-md-6 col-sm-6 col-xs-12 d-flex">
+ <div class="card text-center intro-card shadow">
+ <img src="_static/index_getting_started.svg" class="card-img-top" alt="getting started with pandas action icon" height="52">
+ <div class="card-body flex-fill">
+ <h5 class="card-title">Getting started</h5>
+ <p class="card-text">New to <em>pandas</em>? Check out the getting started guides. They
+ contain an introduction to <em>pandas'</em> main concepts and links to additional tutorials.</p>
+
+.. container:: custom-button
+
+ :ref:`To the getting started guides<getting_started>`
+
+.. raw:: html
+
+ </div>
+ </div>
+ </div>
+ <div class="col-lg-6 col-md-6 col-sm-6 col-xs-12 d-flex">
+ <div class="card text-center intro-card shadow">
+ <img src="_static/index_user_guide.svg" class="card-img-top" alt="pandas user guide action icon" height="52">
+ <div class="card-body flex-fill">
+ <h5 class="card-title">User guide</h5>
+ <p class="card-text">The user guide provides in-depth information on the
+ key concepts of pandas with useful background information and explanation.</p>
+
+.. container:: custom-button
+
+ :ref:`To the user guide<user_guide>`
+
+.. raw:: html
+
+ </div>
+ </div>
+ </div>
+ <div class="col-lg-6 col-md-6 col-sm-6 col-xs-12 d-flex">
+ <div class="card text-center intro-card shadow">
+ <img src="_static/index_api.svg" class="card-img-top" alt="api of pandas action icon" height="52">
+ <div class="card-body flex-fill">
+ <h5 class="card-title">API reference</h5>
+ <p class="card-text">The reference guide contains a detailed description of
+ the pandas API. The reference describes how the methods work and which parameters can
+ be used. It assumes that you have an understanding of the key concepts.</p>
+
+.. container:: custom-button
+
+ :ref:`To the reference guide<api>`
+
+.. raw:: html
+
+ </div>
+ </div>
+ </div>
+ <div class="col-lg-6 col-md-6 col-sm-6 col-xs-12 d-flex">
+ <div class="card text-center intro-card shadow">
+ <img src="_static/index_contribute.svg" class="card-img-top" alt="contribute to pandas action icon" height="52">
+ <div class="card-body flex-fill">
+ <h5 class="card-title">Developer guide</h5>
+ <p class="card-text">Saw a typo in the documentation? Want to improve
+ existing functionalities? The contributing guidelines will guide
+ you through the process of improving pandas.</p>
+
+.. container:: custom-button
+
+ :ref:`To the development guide<development>`
+
+.. raw:: html
+
+ </div>
+ </div>
+ </div>
+ </div>
+ </div>
+
{% if single_doc and single_doc.endswith('.rst') -%}
.. toctree::
@@ -50,68 +128,3 @@ See the :ref:`overview` for more detail about what's in the library.
development/index
whatsnew/index
{% endif %}
-
-* :doc:`whatsnew/v1.1.0`
-* :doc:`getting_started/index`
-
- * :doc:`getting_started/install`
- * :doc:`getting_started/overview`
- * :doc:`getting_started/10min`
- * :doc:`getting_started/basics`
- * :doc:`getting_started/dsintro`
- * :doc:`getting_started/comparison/index`
- * :doc:`getting_started/tutorials`
-
-* :doc:`user_guide/index`
-
- * :doc:`user_guide/io`
- * :doc:`user_guide/indexing`
- * :doc:`user_guide/advanced`
- * :doc:`user_guide/merging`
- * :doc:`user_guide/reshaping`
- * :doc:`user_guide/text`
- * :doc:`user_guide/missing_data`
- * :doc:`user_guide/categorical`
- * :doc:`user_guide/integer_na`
- * :doc:`user_guide/boolean`
- * :doc:`user_guide/visualization`
- * :doc:`user_guide/computation`
- * :doc:`user_guide/groupby`
- * :doc:`user_guide/timeseries`
- * :doc:`user_guide/timedeltas`
- * :doc:`user_guide/style`
- * :doc:`user_guide/options`
- * :doc:`user_guide/enhancingperf`
- * :doc:`user_guide/scale`
- * :doc:`user_guide/sparse`
- * :doc:`user_guide/gotchas`
- * :doc:`user_guide/cookbook`
-
-* :doc:`ecosystem`
-* :doc:`reference/index`
-
- * :doc:`reference/io`
- * :doc:`reference/general_functions`
- * :doc:`reference/series`
- * :doc:`reference/frame`
- * :doc:`reference/arrays`
- * :doc:`reference/panel`
- * :doc:`reference/indexing`
- * :doc:`reference/offset_frequency`
- * :doc:`reference/window`
- * :doc:`reference/groupby`
- * :doc:`reference/resampling`
- * :doc:`reference/style`
- * :doc:`reference/plotting`
- * :doc:`reference/general_utility_functions`
- * :doc:`reference/extensions`
-
-* :doc:`development/index`
-
- * :doc:`development/contributing`
- * :doc:`development/code_style`
- * :doc:`development/internals`
- * :doc:`development/extending`
- * :doc:`development/developer`
-
-* :doc:`whatsnew/index`
| This is a proposal to remove the long table of contents on the documentation home page and replace it with a highlight of the main parts of the documentation.
Reasons: I don't think the long table of contents resulted in a very attractive landing page of the docs. And further, it was also a "manual" table of contents which would therefore easily get out of date. And with the new content, we can also at the same time give some explanation on the organization of the docs.
So would like to get feedback on the general idea. The wording in the different boxes can certainly still be improved. And we could also make similar boxes to point to eg the installation guide or for the different "getting help" links.
It's using some bootstrap elements ("cards") that can be used now since the sphinx theme is based on bootstrap (and all credit to @stijnvanhoey for the html/css part, I re-used some content of what he worked on for the getting started guides, a PR for that is coming shortly). Screenshot of how it currently looks below, and a live version can be checked here: http://jorisvandenbossche.github.io/example-pandas-docs/html-doc-home/
| https://api.github.com/repos/pandas-dev/pandas/pulls/31148 | 2020-01-20T11:01:43Z | 2020-01-27T19:43:56Z | 2020-01-27T19:43:56Z | 2020-01-27T19:53:54Z |
Use Python 3 shebangs | diff --git a/ci/print_skipped.py b/ci/print_skipped.py
index 72822fa2d3c7f..60e2f047235e6 100755
--- a/ci/print_skipped.py
+++ b/ci/print_skipped.py
@@ -1,4 +1,4 @@
-#!/usr/bin/env python
+#!/usr/bin/env python3
import os
import xml.etree.ElementTree as et
diff --git a/doc/make.py b/doc/make.py
index cf73f44b5dd02..024a748cd28ca 100755
--- a/doc/make.py
+++ b/doc/make.py
@@ -1,4 +1,4 @@
-#!/usr/bin/env python
+#!/usr/bin/env python3
"""
Python script for building documentation.
diff --git a/doc/sphinxext/announce.py b/doc/sphinxext/announce.py
index fdc5a6b283ba8..f394aac5c545b 100755
--- a/doc/sphinxext/announce.py
+++ b/doc/sphinxext/announce.py
@@ -1,4 +1,4 @@
-#!/usr/bin/env python
+#!/usr/bin/env python3
# -*- encoding:utf-8 -*-
"""
Script to generate contributor and pull request lists
diff --git a/pandas/core/computation/eval.py b/pandas/core/computation/eval.py
index 51892b8c02d87..71e1b6c2a08a9 100644
--- a/pandas/core/computation/eval.py
+++ b/pandas/core/computation/eval.py
@@ -1,4 +1,4 @@
-#!/usr/bin/env python
+#!/usr/bin/env python3
"""
Top level ``eval`` module.
diff --git a/pandas/tests/io/generate_legacy_storage_files.py b/pandas/tests/io/generate_legacy_storage_files.py
index 6ef0e0457e2e2..67b767a337a89 100755
--- a/pandas/tests/io/generate_legacy_storage_files.py
+++ b/pandas/tests/io/generate_legacy_storage_files.py
@@ -1,4 +1,4 @@
-#!/usr/bin/env python
+#!/usr/bin/env python3
"""
self-contained to write legacy storage pickle files
diff --git a/pandas/tests/plotting/common.py b/pandas/tests/plotting/common.py
index 9f43027836eb4..a604d90acc854 100644
--- a/pandas/tests/plotting/common.py
+++ b/pandas/tests/plotting/common.py
@@ -1,4 +1,4 @@
-#!/usr/bin/env python
+#!/usr/bin/env python3
# coding: utf-8
import os
diff --git a/scripts/find_commits_touching_func.py b/scripts/find_commits_touching_func.py
index 5e1a169dbfc3f..85675cb6df42b 100755
--- a/scripts/find_commits_touching_func.py
+++ b/scripts/find_commits_touching_func.py
@@ -1,4 +1,4 @@
-#!/usr/bin/env python
+#!/usr/bin/env python3
# copyright 2013, y-p @ github
"""
Search the git history for all commits touching a named method
diff --git a/scripts/generate_pip_deps_from_conda.py b/scripts/generate_pip_deps_from_conda.py
index 9e0ec4df02edf..b0a06416ce443 100755
--- a/scripts/generate_pip_deps_from_conda.py
+++ b/scripts/generate_pip_deps_from_conda.py
@@ -1,4 +1,4 @@
-#!/usr/bin/env python
+#!/usr/bin/env python3
"""
Convert the conda environment.yml to the pip requirements-dev.txt,
or check that they have the same packages (for the CI)
diff --git a/scripts/validate_docstrings.py b/scripts/validate_docstrings.py
index 079e9a16cfd13..d43086756769a 100755
--- a/scripts/validate_docstrings.py
+++ b/scripts/validate_docstrings.py
@@ -1,4 +1,4 @@
-#!/usr/bin/env python
+#!/usr/bin/env python3
"""
Analyze docstrings to detect errors.
diff --git a/scripts/validate_string_concatenation.py b/scripts/validate_string_concatenation.py
index 3feeddaabe8d2..fbf3bb5cfccf2 100755
--- a/scripts/validate_string_concatenation.py
+++ b/scripts/validate_string_concatenation.py
@@ -1,4 +1,4 @@
-#!/usr/bin/env python
+#!/usr/bin/env python3
"""
GH #30454
diff --git a/setup.py b/setup.py
index 86fe62202c643..191fe49d1eb89 100755
--- a/setup.py
+++ b/setup.py
@@ -1,4 +1,4 @@
-#!/usr/bin/env python
+#!/usr/bin/env python3
"""
Parts of this file were taken from the pyzmq project
diff --git a/web/pandas_web.py b/web/pandas_web.py
index 45dafcf0c4c10..a34a31feabce0 100755
--- a/web/pandas_web.py
+++ b/web/pandas_web.py
@@ -1,4 +1,4 @@
-#!/usr/bin/env python
+#!/usr/bin/env python3
"""
Simple static site generator for the pandas web.
| Plain 'python' may either not exist at all, or be Python 2. | https://api.github.com/repos/pandas-dev/pandas/pulls/31147 | 2020-01-20T08:07:45Z | 2020-01-20T15:16:42Z | 2020-01-20T15:16:42Z | 2020-01-20T15:16:46Z |
Remove possibly illegal test data | diff --git a/pandas/tests/io/data/html/computer_sales_page.html b/pandas/tests/io/data/html/computer_sales_page.html
deleted file mode 100644
index ff2b031b58d64..0000000000000
--- a/pandas/tests/io/data/html/computer_sales_page.html
+++ /dev/null
@@ -1,619 +0,0 @@
-<table width="100%" border="0" cellspacing="0" cellpadding="0">
-<tbody><tr><!-- TABLE COLUMN WIDTHS SET -->
-<td width="" style="font-family:times;"></td>
-<td width="12pt" style="font-family:times;"></td>
-<td width="7pt" align="RIGHT" style="font-family:times;"></td>
-<td width="45pt" style="font-family:times;"></td>
-<td width="12pt" style="font-family:times;"></td>
-<td width="7pt" align="RIGHT" style="font-family:times;"></td>
-<td width="45pt" style="font-family:times;"></td>
-<td width="12pt" style="font-family:times;"></td>
-<td width="7pt" align="RIGHT" style="font-family:times;"></td>
-<td width="45pt" style="font-family:times;"></td>
-<td width="12pt" style="font-family:times;"></td>
-<td width="7pt" align="RIGHT" style="font-family:times;"></td>
-<td width="45pt" style="font-family:times;"></td>
-<td width="12pt" style="font-family:times;"></td>
-<!-- TABLE COLUMN WIDTHS END --></tr>
-
-<tr valign="BOTTOM">
-<th align="LEFT" style="font-family:times;"><font size="2"> </font><br></th>
-<th style="font-family:times;"><font size="1"> </font></th>
-<th colspan="5" align="CENTER" style="font-family:times;border-bottom:solid #000000 1.0pt;"><font size="1"><b>Three months ended<br>
-April 30 </b></font></th>
-<th style="font-family:times;"><font size="1"> </font></th>
-<th colspan="5" align="CENTER" style="font-family:times;border-bottom:solid #000000 1.0pt;"><font size="1"><b>Six months ended<br>
-April 30 </b></font></th>
-<th style="font-family:times;"><font size="1"> </font></th>
-</tr>
-<tr valign="BOTTOM">
-<th align="LEFT" style="font-family:times;"><font size="1"> </font><br></th>
-<th style="font-family:times;"><font size="1"> </font></th>
-<th colspan="2" align="CENTER" style="font-family:times;border-bottom:solid #000000 1.0pt;"><font size="1"><b>2013 </b></font></th>
-<th style="font-family:times;"><font size="1"> </font></th>
-<th colspan="2" align="CENTER" style="font-family:times;border-bottom:solid #000000 1.0pt;"><font size="1"><b>2012 </b></font></th>
-<th style="font-family:times;"><font size="1"> </font></th>
-<th colspan="2" align="CENTER" style="font-family:times;border-bottom:solid #000000 1.0pt;"><font size="1"><b>2013 </b></font></th>
-<th style="font-family:times;"><font size="1"> </font></th>
-<th colspan="2" align="CENTER" style="font-family:times;border-bottom:solid #000000 1.0pt;"><font size="1"><b>2012 </b></font></th>
-<th style="font-family:times;"><font size="1"> </font></th>
-</tr>
-<tr valign="BOTTOM">
-<th align="LEFT" style="font-family:times;"><font size="1"> </font><br></th>
-<th style="font-family:times;"><font size="1"> </font></th>
-<th colspan="11" align="CENTER" style="font-family:times;"><font size="1"><b>In millions</b></font><br></th>
-<th style="font-family:times;"><font size="1"> </font></th>
-</tr>
-<tr bgcolor="#CCEEFF" valign="TOP">
-<td valign="BOTTOM" style="font-family:times;"><p style="font-family:times;margin-left:10pt;text-indent:-10pt;"><font size="2"> </font><font size="2">Net revenue:</font></p></td>
-<td valign="BOTTOM" style="font-family:times;"><font size="2"> </font></td>
-<td valign="BOTTOM" style="font-family:times;"><font size="2"> </font></td>
-<td valign="BOTTOM" style="font-family:times;"><font size="2"> </font></td>
-<td valign="BOTTOM" style="font-family:times;"><font size="2"> </font></td>
-<td valign="BOTTOM" style="font-family:times;"><font size="2"> </font></td>
-<td valign="BOTTOM" style="font-family:times;"><font size="2"> </font></td>
-<td valign="BOTTOM" style="font-family:times;"><font size="2"> </font></td>
-<td valign="BOTTOM" style="font-family:times;"><font size="2"> </font></td>
-<td valign="BOTTOM" style="font-family:times;"><font size="2"> </font></td>
-<td valign="BOTTOM" style="font-family:times;"><font size="2"> </font></td>
-<td valign="BOTTOM" style="font-family:times;"><font size="2"> </font></td>
-<td valign="BOTTOM" style="font-family:times;"><font size="2"> </font></td>
-<td valign="BOTTOM" style="font-family:times;"><font size="2"> </font></td>
-</tr>
-<tr bgcolor="White" valign="TOP">
-<td valign="BOTTOM" style="font-family:times;"><p style="font-family:times;margin-left:30pt;text-indent:-10pt;"><font size="2"> </font><font size="2">Notebooks</font></p></td>
-<td valign="BOTTOM" style="font-family:times;"><font size="2"> </font></td>
-<td align="RIGHT" valign="BOTTOM" style="font-family:times;"><font size="2">$</font></td>
-<td align="RIGHT" valign="BOTTOM" style="font-family:times;"><font size="2">3,718</font></td>
-<td valign="BOTTOM" style="font-family:times;"><font size="2"> </font></td>
-<td align="RIGHT" valign="BOTTOM" style="font-family:times;"><font size="2">$</font></td>
-<td align="RIGHT" valign="BOTTOM" style="font-family:times;"><font size="2">4,900</font></td>
-<td valign="BOTTOM" style="font-family:times;"><font size="2"> </font></td>
-<td align="RIGHT" valign="BOTTOM" style="font-family:times;"><font size="2">$</font></td>
-<td align="RIGHT" valign="BOTTOM" style="font-family:times;"><font size="2">7,846</font></td>
-<td valign="BOTTOM" style="font-family:times;"><font size="2"> </font></td>
-<td align="RIGHT" valign="BOTTOM" style="font-family:times;"><font size="2">$</font></td>
-<td align="RIGHT" valign="BOTTOM" style="font-family:times;"><font size="2">9,842</font></td>
-<td valign="BOTTOM" style="font-family:times;"><font size="2"> </font></td>
-</tr>
-<tr bgcolor="#CCEEFF" valign="TOP">
-<td valign="BOTTOM" style="font-family:times;"><p style="font-family:times;margin-left:30pt;text-indent:-10pt;"><font size="2"> </font><font size="2">Desktops</font></p></td>
-<td valign="BOTTOM" style="font-family:times;"><font size="2"> </font></td>
-<td valign="BOTTOM" style="font-family:times;"><font size="2"> </font></td>
-<td align="RIGHT" valign="BOTTOM" style="font-family:times;"><font size="2">3,103</font></td>
-<td valign="BOTTOM" style="font-family:times;"><font size="2"> </font></td>
-<td valign="BOTTOM" style="font-family:times;"><font size="2"> </font></td>
-<td align="RIGHT" valign="BOTTOM" style="font-family:times;"><font size="2">3,827</font></td>
-<td valign="BOTTOM" style="font-family:times;"><font size="2"> </font></td>
-<td valign="BOTTOM" style="font-family:times;"><font size="2"> </font></td>
-<td align="RIGHT" valign="BOTTOM" style="font-family:times;"><font size="2">6,424</font></td>
-<td valign="BOTTOM" style="font-family:times;"><font size="2"> </font></td>
-<td valign="BOTTOM" style="font-family:times;"><font size="2"> </font></td>
-<td align="RIGHT" valign="BOTTOM" style="font-family:times;"><font size="2">7,033</font></td>
-<td valign="BOTTOM" style="font-family:times;"><font size="2"> </font></td>
-</tr>
-<tr bgcolor="White" valign="TOP">
-<td valign="BOTTOM" style="font-family:times;"><p style="font-family:times;margin-left:30pt;text-indent:-10pt;"><font size="2"> </font><font size="2">Workstations</font></p></td>
-<td valign="BOTTOM" style="font-family:times;"><font size="2"> </font></td>
-<td valign="BOTTOM" style="font-family:times;"><font size="2"> </font></td>
-<td align="RIGHT" valign="BOTTOM" style="font-family:times;"><font size="2">521</font></td>
-<td valign="BOTTOM" style="font-family:times;"><font size="2"> </font></td>
-<td valign="BOTTOM" style="font-family:times;"><font size="2"> </font></td>
-<td align="RIGHT" valign="BOTTOM" style="font-family:times;"><font size="2">537</font></td>
-<td valign="BOTTOM" style="font-family:times;"><font size="2"> </font></td>
-<td valign="BOTTOM" style="font-family:times;"><font size="2"> </font></td>
-<td align="RIGHT" valign="BOTTOM" style="font-family:times;"><font size="2">1,056</font></td>
-<td valign="BOTTOM" style="font-family:times;"><font size="2"> </font></td>
-<td valign="BOTTOM" style="font-family:times;"><font size="2"> </font></td>
-<td align="RIGHT" valign="BOTTOM" style="font-family:times;"><font size="2">1,072</font></td>
-<td valign="BOTTOM" style="font-family:times;"><font size="2"> </font></td>
-</tr>
-<tr bgcolor="#CCEEFF" valign="TOP">
-<td valign="BOTTOM" style="font-family:times;"><p style="font-family:times;margin-left:30pt;text-indent:-10pt;"><font size="2"> </font><font size="2">Other</font></p></td>
-<td valign="BOTTOM" style="font-family:times;"><font size="2"> </font></td>
-<td valign="BOTTOM" style="font-family:times;"><font size="2"> </font></td>
-<td align="RIGHT" valign="BOTTOM" style="font-family:times;"><font size="2">242</font></td>
-<td valign="BOTTOM" style="font-family:times;"><font size="2"> </font></td>
-<td valign="BOTTOM" style="font-family:times;"><font size="2"> </font></td>
-<td align="RIGHT" valign="BOTTOM" style="font-family:times;"><font size="2">206</font></td>
-<td valign="BOTTOM" style="font-family:times;"><font size="2"> </font></td>
-<td valign="BOTTOM" style="font-family:times;"><font size="2"> </font></td>
-<td align="RIGHT" valign="BOTTOM" style="font-family:times;"><font size="2">462</font></td>
-<td valign="BOTTOM" style="font-family:times;"><font size="2"> </font></td>
-<td valign="BOTTOM" style="font-family:times;"><font size="2"> </font></td>
-<td align="RIGHT" valign="BOTTOM" style="font-family:times;"><font size="2">415</font></td>
-<td valign="BOTTOM" style="font-family:times;"><font size="2"> </font></td>
-</tr>
-<tr style="font-size:1.5pt;" valign="TOP">
-<td valign="BOTTOM" style="font-family:times;"> </td>
-<td valign="BOTTOM" style="font-family:times;"> </td>
-<td colspan="2" align="RIGHT" valign="BOTTOM" style="font-family:times;border-bottom:solid #000000 1.0pt;"> </td>
-<td valign="BOTTOM" style="font-family:times;"> </td>
-<td colspan="2" align="RIGHT" valign="BOTTOM" style="font-family:times;border-bottom:solid #000000 1.0pt;"> </td>
-<td valign="BOTTOM" style="font-family:times;"> </td>
-<td colspan="2" align="RIGHT" valign="BOTTOM" style="font-family:times;border-bottom:solid #000000 1.0pt;"> </td>
-<td valign="BOTTOM" style="font-family:times;"> </td>
-<td colspan="2" align="RIGHT" valign="BOTTOM" style="font-family:times;border-bottom:solid #000000 1.0pt;"> </td>
-<td valign="BOTTOM" style="font-family:times;"> </td>
-</tr>
-<tr bgcolor="White" valign="TOP">
-<td valign="BOTTOM" style="font-family:times;"><p style="font-family:times;margin-left:20pt;text-indent:-10pt;"><font size="2"> </font><font size="2">Personal Systems</font></p></td>
-<td valign="BOTTOM" style="font-family:times;"><font size="2"> </font></td>
-<td valign="BOTTOM" style="font-family:times;"><font size="2"> </font></td>
-<td align="RIGHT" valign="BOTTOM" style="font-family:times;"><font size="2">7,584</font></td>
-<td valign="BOTTOM" style="font-family:times;"><font size="2"> </font></td>
-<td valign="BOTTOM" style="font-family:times;"><font size="2"> </font></td>
-<td align="RIGHT" valign="BOTTOM" style="font-family:times;"><font size="2">9,470</font></td>
-<td valign="BOTTOM" style="font-family:times;"><font size="2"> </font></td>
-<td valign="BOTTOM" style="font-family:times;"><font size="2"> </font></td>
-<td align="RIGHT" valign="BOTTOM" style="font-family:times;"><font size="2">15,788</font></td>
-<td valign="BOTTOM" style="font-family:times;"><font size="2"> </font></td>
-<td valign="BOTTOM" style="font-family:times;"><font size="2"> </font></td>
-<td align="RIGHT" valign="BOTTOM" style="font-family:times;"><font size="2">18,362</font></td>
-<td valign="BOTTOM" style="font-family:times;"><font size="2"> </font></td>
-</tr>
-<tr style="font-size:1.5pt;" valign="TOP">
-<td valign="BOTTOM" style="font-family:times;"> </td>
-<td valign="BOTTOM" style="font-family:times;"> </td>
-<td colspan="2" align="RIGHT" valign="BOTTOM" style="font-family:times;border-bottom:solid #000000 1.0pt;"> </td>
-<td valign="BOTTOM" style="font-family:times;"> </td>
-<td colspan="2" align="RIGHT" valign="BOTTOM" style="font-family:times;border-bottom:solid #000000 1.0pt;"> </td>
-<td valign="BOTTOM" style="font-family:times;"> </td>
-<td colspan="2" align="RIGHT" valign="BOTTOM" style="font-family:times;border-bottom:solid #000000 1.0pt;"> </td>
-<td valign="BOTTOM" style="font-family:times;"> </td>
-<td colspan="2" align="RIGHT" valign="BOTTOM" style="font-family:times;border-bottom:solid #000000 1.0pt;"> </td>
-<td valign="BOTTOM" style="font-family:times;"> </td>
-</tr>
-<tr bgcolor="#CCEEFF" valign="TOP">
-<td valign="BOTTOM" style="font-family:times;"><p style="font-family:times;margin-left:20pt;text-indent:-10pt;"><font size="2"> </font><font size="2">Supplies</font></p></td>
-<td valign="BOTTOM" style="font-family:times;"><font size="2"> </font></td>
-<td valign="BOTTOM" style="font-family:times;"><font size="2"> </font></td>
-<td align="RIGHT" valign="BOTTOM" style="font-family:times;"><font size="2">4,122</font></td>
-<td valign="BOTTOM" style="font-family:times;"><font size="2"> </font></td>
-<td valign="BOTTOM" style="font-family:times;"><font size="2"> </font></td>
-<td align="RIGHT" valign="BOTTOM" style="font-family:times;"><font size="2">4,060</font></td>
-<td valign="BOTTOM" style="font-family:times;"><font size="2"> </font></td>
-<td valign="BOTTOM" style="font-family:times;"><font size="2"> </font></td>
-<td align="RIGHT" valign="BOTTOM" style="font-family:times;"><font size="2">8,015</font></td>
-<td valign="BOTTOM" style="font-family:times;"><font size="2"> </font></td>
-<td valign="BOTTOM" style="font-family:times;"><font size="2"> </font></td>
-<td align="RIGHT" valign="BOTTOM" style="font-family:times;"><font size="2">8,139</font></td>
-<td valign="BOTTOM" style="font-family:times;"><font size="2"> </font></td>
-</tr>
-<tr bgcolor="White" valign="TOP">
-<td valign="BOTTOM" style="font-family:times;"><p style="font-family:times;margin-left:20pt;text-indent:-10pt;"><font size="2"> </font><font size="2">Commercial Hardware</font></p></td>
-<td valign="BOTTOM" style="font-family:times;"><font size="2"> </font></td>
-<td valign="BOTTOM" style="font-family:times;"><font size="2"> </font></td>
-<td align="RIGHT" valign="BOTTOM" style="font-family:times;"><font size="2">1,398</font></td>
-<td valign="BOTTOM" style="font-family:times;"><font size="2"> </font></td>
-<td valign="BOTTOM" style="font-family:times;"><font size="2"> </font></td>
-<td align="RIGHT" valign="BOTTOM" style="font-family:times;"><font size="2">1,479</font></td>
-<td valign="BOTTOM" style="font-family:times;"><font size="2"> </font></td>
-<td valign="BOTTOM" style="font-family:times;"><font size="2"> </font></td>
-<td align="RIGHT" valign="BOTTOM" style="font-family:times;"><font size="2">2,752</font></td>
-<td valign="BOTTOM" style="font-family:times;"><font size="2"> </font></td>
-<td valign="BOTTOM" style="font-family:times;"><font size="2"> </font></td>
-<td align="RIGHT" valign="BOTTOM" style="font-family:times;"><font size="2">2,968</font></td>
-<td valign="BOTTOM" style="font-family:times;"><font size="2"> </font></td>
-</tr>
-<tr bgcolor="#CCEEFF" valign="TOP">
-<td valign="BOTTOM" style="font-family:times;"><p style="font-family:times;margin-left:20pt;text-indent:-10pt;"><font size="2"> </font><font size="2">Consumer Hardware</font></p></td>
-<td valign="BOTTOM" style="font-family:times;"><font size="2"> </font></td>
-<td valign="BOTTOM" style="font-family:times;"><font size="2"> </font></td>
-<td align="RIGHT" valign="BOTTOM" style="font-family:times;"><font size="2">561</font></td>
-<td valign="BOTTOM" style="font-family:times;"><font size="2"> </font></td>
-<td valign="BOTTOM" style="font-family:times;"><font size="2"> </font></td>
-<td align="RIGHT" valign="BOTTOM" style="font-family:times;"><font size="2">593</font></td>
-<td valign="BOTTOM" style="font-family:times;"><font size="2"> </font></td>
-<td valign="BOTTOM" style="font-family:times;"><font size="2"> </font></td>
-<td align="RIGHT" valign="BOTTOM" style="font-family:times;"><font size="2">1,240</font></td>
-<td valign="BOTTOM" style="font-family:times;"><font size="2"> </font></td>
-<td valign="BOTTOM" style="font-family:times;"><font size="2"> </font></td>
-<td align="RIGHT" valign="BOTTOM" style="font-family:times;"><font size="2">1,283</font></td>
-<td valign="BOTTOM" style="font-family:times;"><font size="2"> </font></td>
-</tr>
-<tr style="font-size:1.5pt;" valign="TOP">
-<td valign="BOTTOM" style="font-family:times;"> </td>
-<td valign="BOTTOM" style="font-family:times;"> </td>
-<td colspan="2" align="RIGHT" valign="BOTTOM" style="font-family:times;border-bottom:solid #000000 1.0pt;"> </td>
-<td valign="BOTTOM" style="font-family:times;"> </td>
-<td colspan="2" align="RIGHT" valign="BOTTOM" style="font-family:times;border-bottom:solid #000000 1.0pt;"> </td>
-<td valign="BOTTOM" style="font-family:times;"> </td>
-<td colspan="2" align="RIGHT" valign="BOTTOM" style="font-family:times;border-bottom:solid #000000 1.0pt;"> </td>
-<td valign="BOTTOM" style="font-family:times;"> </td>
-<td colspan="2" align="RIGHT" valign="BOTTOM" style="font-family:times;border-bottom:solid #000000 1.0pt;"> </td>
-<td valign="BOTTOM" style="font-family:times;"> </td>
-</tr>
-<tr bgcolor="White" valign="TOP">
-<td valign="BOTTOM" style="font-family:times;"><p style="font-family:times;margin-left:20pt;text-indent:-10pt;"><font size="2"> </font><font size="2">Printing</font></p></td>
-<td valign="BOTTOM" style="font-family:times;"><font size="2"> </font></td>
-<td valign="BOTTOM" style="font-family:times;"><font size="2"> </font></td>
-<td align="RIGHT" valign="BOTTOM" style="font-family:times;"><font size="2">6,081</font></td>
-<td valign="BOTTOM" style="font-family:times;"><font size="2"> </font></td>
-<td valign="BOTTOM" style="font-family:times;"><font size="2"> </font></td>
-<td align="RIGHT" valign="BOTTOM" style="font-family:times;"><font size="2">6,132</font></td>
-<td valign="BOTTOM" style="font-family:times;"><font size="2"> </font></td>
-<td valign="BOTTOM" style="font-family:times;"><font size="2"> </font></td>
-<td align="RIGHT" valign="BOTTOM" style="font-family:times;"><font size="2">12,007</font></td>
-<td valign="BOTTOM" style="font-family:times;"><font size="2"> </font></td>
-<td valign="BOTTOM" style="font-family:times;"><font size="2"> </font></td>
-<td align="RIGHT" valign="BOTTOM" style="font-family:times;"><font size="2">12,390</font></td>
-<td valign="BOTTOM" style="font-family:times;"><font size="2"> </font></td>
-</tr>
-<tr style="font-size:1.5pt;" valign="TOP">
-<td valign="BOTTOM" style="font-family:times;"> </td>
-<td valign="BOTTOM" style="font-family:times;"> </td>
-<td colspan="2" align="RIGHT" valign="BOTTOM" style="font-family:times;border-bottom:solid #000000 1.0pt;"> </td>
-<td valign="BOTTOM" style="font-family:times;"> </td>
-<td colspan="2" align="RIGHT" valign="BOTTOM" style="font-family:times;border-bottom:solid #000000 1.0pt;"> </td>
-<td valign="BOTTOM" style="font-family:times;"> </td>
-<td colspan="2" align="RIGHT" valign="BOTTOM" style="font-family:times;border-bottom:solid #000000 1.0pt;"> </td>
-<td valign="BOTTOM" style="font-family:times;"> </td>
-<td colspan="2" align="RIGHT" valign="BOTTOM" style="font-family:times;border-bottom:solid #000000 1.0pt;"> </td>
-<td valign="BOTTOM" style="font-family:times;"> </td>
-</tr>
-<tr bgcolor="#CCEEFF" valign="TOP">
-<td valign="BOTTOM" style="font-family:times;"><p style="font-family:times;margin-left:10pt;text-indent:-10pt;"><font size="2"> </font><font size="2">Printing and Personal Systems Group</font></p></td>
-<td valign="BOTTOM" style="font-family:times;"><font size="2"> </font></td>
-<td valign="BOTTOM" style="font-family:times;"><font size="2"> </font></td>
-<td align="RIGHT" valign="BOTTOM" style="font-family:times;"><font size="2">13,665</font></td>
-<td valign="BOTTOM" style="font-family:times;"><font size="2"> </font></td>
-<td valign="BOTTOM" style="font-family:times;"><font size="2"> </font></td>
-<td align="RIGHT" valign="BOTTOM" style="font-family:times;"><font size="2">15,602</font></td>
-<td valign="BOTTOM" style="font-family:times;"><font size="2"> </font></td>
-<td valign="BOTTOM" style="font-family:times;"><font size="2"> </font></td>
-<td align="RIGHT" valign="BOTTOM" style="font-family:times;"><font size="2">27,795</font></td>
-<td valign="BOTTOM" style="font-family:times;"><font size="2"> </font></td>
-<td valign="BOTTOM" style="font-family:times;"><font size="2"> </font></td>
-<td align="RIGHT" valign="BOTTOM" style="font-family:times;"><font size="2">30,752</font></td>
-<td valign="BOTTOM" style="font-family:times;"><font size="2"> </font></td>
-</tr>
-<tr style="font-size:1.5pt;" valign="TOP">
-<td valign="BOTTOM" style="font-family:times;"> </td>
-<td valign="BOTTOM" style="font-family:times;"> </td>
-<td colspan="2" align="RIGHT" valign="BOTTOM" style="font-family:times;border-bottom:solid #000000 1.0pt;"> </td>
-<td valign="BOTTOM" style="font-family:times;"> </td>
-<td colspan="2" align="RIGHT" valign="BOTTOM" style="font-family:times;border-bottom:solid #000000 1.0pt;"> </td>
-<td valign="BOTTOM" style="font-family:times;"> </td>
-<td colspan="2" align="RIGHT" valign="BOTTOM" style="font-family:times;border-bottom:solid #000000 1.0pt;"> </td>
-<td valign="BOTTOM" style="font-family:times;"> </td>
-<td colspan="2" align="RIGHT" valign="BOTTOM" style="font-family:times;border-bottom:solid #000000 1.0pt;"> </td>
-<td valign="BOTTOM" style="font-family:times;"> </td>
-</tr>
-<tr bgcolor="White" valign="TOP">
-<td valign="BOTTOM" style="font-family:times;"><p style="font-family:times;margin-left:20pt;text-indent:-10pt;"><font size="2"> </font><font size="2">Industry Standard Servers</font></p></td>
-<td valign="BOTTOM" style="font-family:times;"><font size="2"> </font></td>
-<td valign="BOTTOM" style="font-family:times;"><font size="2"> </font></td>
-<td align="RIGHT" valign="BOTTOM" style="font-family:times;"><font size="2">2,806</font></td>
-<td valign="BOTTOM" style="font-family:times;"><font size="2"> </font></td>
-<td valign="BOTTOM" style="font-family:times;"><font size="2"> </font></td>
-<td align="RIGHT" valign="BOTTOM" style="font-family:times;"><font size="2">3,186</font></td>
-<td valign="BOTTOM" style="font-family:times;"><font size="2"> </font></td>
-<td valign="BOTTOM" style="font-family:times;"><font size="2"> </font></td>
-<td align="RIGHT" valign="BOTTOM" style="font-family:times;"><font size="2">5,800</font></td>
-<td valign="BOTTOM" style="font-family:times;"><font size="2"> </font></td>
-<td valign="BOTTOM" style="font-family:times;"><font size="2"> </font></td>
-<td align="RIGHT" valign="BOTTOM" style="font-family:times;"><font size="2">6,258</font></td>
-<td valign="BOTTOM" style="font-family:times;"><font size="2"> </font></td>
-</tr>
-<tr bgcolor="#CCEEFF" valign="TOP">
-<td valign="BOTTOM" style="font-family:times;"><p style="font-family:times;margin-left:20pt;text-indent:-10pt;"><font size="2"> </font><font size="2">Technology Services</font></p></td>
-<td valign="BOTTOM" style="font-family:times;"><font size="2"> </font></td>
-<td valign="BOTTOM" style="font-family:times;"><font size="2"> </font></td>
-<td align="RIGHT" valign="BOTTOM" style="font-family:times;"><font size="2">2,272</font></td>
-<td valign="BOTTOM" style="font-family:times;"><font size="2"> </font></td>
-<td valign="BOTTOM" style="font-family:times;"><font size="2"> </font></td>
-<td align="RIGHT" valign="BOTTOM" style="font-family:times;"><font size="2">2,335</font></td>
-<td valign="BOTTOM" style="font-family:times;"><font size="2"> </font></td>
-<td valign="BOTTOM" style="font-family:times;"><font size="2"> </font></td>
-<td align="RIGHT" valign="BOTTOM" style="font-family:times;"><font size="2">4,515</font></td>
-<td valign="BOTTOM" style="font-family:times;"><font size="2"> </font></td>
-<td valign="BOTTOM" style="font-family:times;"><font size="2"> </font></td>
-<td align="RIGHT" valign="BOTTOM" style="font-family:times;"><font size="2">4,599</font></td>
-<td valign="BOTTOM" style="font-family:times;"><font size="2"> </font></td>
-</tr>
-<tr bgcolor="White" valign="TOP">
-<td valign="BOTTOM" style="font-family:times;"><p style="font-family:times;margin-left:20pt;text-indent:-10pt;"><font size="2"> </font><font size="2">Storage</font></p></td>
-<td valign="BOTTOM" style="font-family:times;"><font size="2"> </font></td>
-<td valign="BOTTOM" style="font-family:times;"><font size="2"> </font></td>
-<td align="RIGHT" valign="BOTTOM" style="font-family:times;"><font size="2">857</font></td>
-<td valign="BOTTOM" style="font-family:times;"><font size="2"> </font></td>
-<td valign="BOTTOM" style="font-family:times;"><font size="2"> </font></td>
-<td align="RIGHT" valign="BOTTOM" style="font-family:times;"><font size="2">990</font></td>
-<td valign="BOTTOM" style="font-family:times;"><font size="2"> </font></td>
-<td valign="BOTTOM" style="font-family:times;"><font size="2"> </font></td>
-<td align="RIGHT" valign="BOTTOM" style="font-family:times;"><font size="2">1,690</font></td>
-<td valign="BOTTOM" style="font-family:times;"><font size="2"> </font></td>
-<td valign="BOTTOM" style="font-family:times;"><font size="2"> </font></td>
-<td align="RIGHT" valign="BOTTOM" style="font-family:times;"><font size="2">1,945</font></td>
-<td valign="BOTTOM" style="font-family:times;"><font size="2"> </font></td>
-</tr>
-<tr bgcolor="#CCEEFF" valign="TOP">
-<td valign="BOTTOM" style="font-family:times;"><p style="font-family:times;margin-left:20pt;text-indent:-10pt;"><font size="2"> </font><font size="2">Networking</font></p></td>
-<td valign="BOTTOM" style="font-family:times;"><font size="2"> </font></td>
-<td valign="BOTTOM" style="font-family:times;"><font size="2"> </font></td>
-<td align="RIGHT" valign="BOTTOM" style="font-family:times;"><font size="2">618</font></td>
-<td valign="BOTTOM" style="font-family:times;"><font size="2"> </font></td>
-<td valign="BOTTOM" style="font-family:times;"><font size="2"> </font></td>
-<td align="RIGHT" valign="BOTTOM" style="font-family:times;"><font size="2">614</font></td>
-<td valign="BOTTOM" style="font-family:times;"><font size="2"> </font></td>
-<td valign="BOTTOM" style="font-family:times;"><font size="2"> </font></td>
-<td align="RIGHT" valign="BOTTOM" style="font-family:times;"><font size="2">1,226</font></td>
-<td valign="BOTTOM" style="font-family:times;"><font size="2"> </font></td>
-<td valign="BOTTOM" style="font-family:times;"><font size="2"> </font></td>
-<td align="RIGHT" valign="BOTTOM" style="font-family:times;"><font size="2">1,200</font></td>
-<td valign="BOTTOM" style="font-family:times;"><font size="2"> </font></td>
-</tr>
-<tr bgcolor="White" valign="TOP">
-<td valign="BOTTOM" style="font-family:times;"><p style="font-family:times;margin-left:20pt;text-indent:-10pt;"><font size="2"> </font><font size="2">Business Critical Systems</font></p></td>
-<td valign="BOTTOM" style="font-family:times;"><font size="2"> </font></td>
-<td valign="BOTTOM" style="font-family:times;"><font size="2"> </font></td>
-<td align="RIGHT" valign="BOTTOM" style="font-family:times;"><font size="2">266</font></td>
-<td valign="BOTTOM" style="font-family:times;"><font size="2"> </font></td>
-<td valign="BOTTOM" style="font-family:times;"><font size="2"> </font></td>
-<td align="RIGHT" valign="BOTTOM" style="font-family:times;"><font size="2">421</font></td>
-<td valign="BOTTOM" style="font-family:times;"><font size="2"> </font></td>
-<td valign="BOTTOM" style="font-family:times;"><font size="2"> </font></td>
-<td align="RIGHT" valign="BOTTOM" style="font-family:times;"><font size="2">572</font></td>
-<td valign="BOTTOM" style="font-family:times;"><font size="2"> </font></td>
-<td valign="BOTTOM" style="font-family:times;"><font size="2"> </font></td>
-<td align="RIGHT" valign="BOTTOM" style="font-family:times;"><font size="2">826</font></td>
-<td valign="BOTTOM" style="font-family:times;"><font size="2"> </font></td>
-</tr>
-<tr style="font-size:1.5pt;" valign="TOP">
-<td valign="BOTTOM" style="font-family:times;"> </td>
-<td valign="BOTTOM" style="font-family:times;"> </td>
-<td colspan="2" align="RIGHT" valign="BOTTOM" style="font-family:times;border-bottom:solid #000000 1.0pt;"> </td>
-<td valign="BOTTOM" style="font-family:times;"> </td>
-<td colspan="2" align="RIGHT" valign="BOTTOM" style="font-family:times;border-bottom:solid #000000 1.0pt;"> </td>
-<td valign="BOTTOM" style="font-family:times;"> </td>
-<td colspan="2" align="RIGHT" valign="BOTTOM" style="font-family:times;border-bottom:solid #000000 1.0pt;"> </td>
-<td valign="BOTTOM" style="font-family:times;"> </td>
-<td colspan="2" align="RIGHT" valign="BOTTOM" style="font-family:times;border-bottom:solid #000000 1.0pt;"> </td>
-<td valign="BOTTOM" style="font-family:times;"> </td>
-</tr>
-<tr bgcolor="#CCEEFF" valign="TOP">
-<td valign="BOTTOM" style="font-family:times;"><p style="font-family:times;margin-left:10pt;text-indent:-10pt;"><font size="2"> </font><font size="2">Enterprise Group</font></p></td>
-<td valign="BOTTOM" style="font-family:times;"><font size="2"> </font></td>
-<td valign="BOTTOM" style="font-family:times;"><font size="2"> </font></td>
-<td align="RIGHT" valign="BOTTOM" style="font-family:times;"><font size="2">6,819</font></td>
-<td valign="BOTTOM" style="font-family:times;"><font size="2"> </font></td>
-<td valign="BOTTOM" style="font-family:times;"><font size="2"> </font></td>
-<td align="RIGHT" valign="BOTTOM" style="font-family:times;"><font size="2">7,546</font></td>
-<td valign="BOTTOM" style="font-family:times;"><font size="2"> </font></td>
-<td valign="BOTTOM" style="font-family:times;"><font size="2"> </font></td>
-<td align="RIGHT" valign="BOTTOM" style="font-family:times;"><font size="2">13,803</font></td>
-<td valign="BOTTOM" style="font-family:times;"><font size="2"> </font></td>
-<td valign="BOTTOM" style="font-family:times;"><font size="2"> </font></td>
-<td align="RIGHT" valign="BOTTOM" style="font-family:times;"><font size="2">14,828</font></td>
-<td valign="BOTTOM" style="font-family:times;"><font size="2"> </font></td>
-</tr>
-<tr style="font-size:1.5pt;" valign="TOP">
-<td valign="BOTTOM" style="font-family:times;"> </td>
-<td valign="BOTTOM" style="font-family:times;"> </td>
-<td colspan="2" align="RIGHT" valign="BOTTOM" style="font-family:times;border-bottom:solid #000000 1.0pt;"> </td>
-<td valign="BOTTOM" style="font-family:times;"> </td>
-<td colspan="2" align="RIGHT" valign="BOTTOM" style="font-family:times;border-bottom:solid #000000 1.0pt;"> </td>
-<td valign="BOTTOM" style="font-family:times;"> </td>
-<td colspan="2" align="RIGHT" valign="BOTTOM" style="font-family:times;border-bottom:solid #000000 1.0pt;"> </td>
-<td valign="BOTTOM" style="font-family:times;"> </td>
-<td colspan="2" align="RIGHT" valign="BOTTOM" style="font-family:times;border-bottom:solid #000000 1.0pt;"> </td>
-<td valign="BOTTOM" style="font-family:times;"> </td>
-</tr>
-<tr bgcolor="White" valign="TOP">
-<td valign="BOTTOM" style="font-family:times;"><p style="font-family:times;margin-left:20pt;text-indent:-10pt;"><font size="2"> </font><font size="2">Infrastructure Technology Outsourcing</font></p></td>
-<td valign="BOTTOM" style="font-family:times;"><font size="2"> </font></td>
-<td valign="BOTTOM" style="font-family:times;"><font size="2"> </font></td>
-<td align="RIGHT" valign="BOTTOM" style="font-family:times;"><font size="2">3,721</font></td>
-<td valign="BOTTOM" style="font-family:times;"><font size="2"> </font></td>
-<td valign="BOTTOM" style="font-family:times;"><font size="2"> </font></td>
-<td align="RIGHT" valign="BOTTOM" style="font-family:times;"><font size="2">3,954</font></td>
-<td valign="BOTTOM" style="font-family:times;"><font size="2"> </font></td>
-<td valign="BOTTOM" style="font-family:times;"><font size="2"> </font></td>
-<td align="RIGHT" valign="BOTTOM" style="font-family:times;"><font size="2">7,457</font></td>
-<td valign="BOTTOM" style="font-family:times;"><font size="2"> </font></td>
-<td valign="BOTTOM" style="font-family:times;"><font size="2"> </font></td>
-<td align="RIGHT" valign="BOTTOM" style="font-family:times;"><font size="2">7,934</font></td>
-<td valign="BOTTOM" style="font-family:times;"><font size="2"> </font></td>
-</tr>
-<tr bgcolor="#CCEEFF" valign="TOP">
-<td valign="BOTTOM" style="font-family:times;"><p style="font-family:times;margin-left:20pt;text-indent:-10pt;"><font size="2"> </font><font size="2">Application and Business Services</font></p></td>
-<td valign="BOTTOM" style="font-family:times;"><font size="2"> </font></td>
-<td valign="BOTTOM" style="font-family:times;"><font size="2"> </font></td>
-<td align="RIGHT" valign="BOTTOM" style="font-family:times;"><font size="2">2,278</font></td>
-<td valign="BOTTOM" style="font-family:times;"><font size="2"> </font></td>
-<td valign="BOTTOM" style="font-family:times;"><font size="2"> </font></td>
-<td align="RIGHT" valign="BOTTOM" style="font-family:times;"><font size="2">2,535</font></td>
-<td valign="BOTTOM" style="font-family:times;"><font size="2"> </font></td>
-<td valign="BOTTOM" style="font-family:times;"><font size="2"> </font></td>
-<td align="RIGHT" valign="BOTTOM" style="font-family:times;"><font size="2">4,461</font></td>
-<td valign="BOTTOM" style="font-family:times;"><font size="2"> </font></td>
-<td valign="BOTTOM" style="font-family:times;"><font size="2"> </font></td>
-<td align="RIGHT" valign="BOTTOM" style="font-family:times;"><font size="2">4,926</font></td>
-<td valign="BOTTOM" style="font-family:times;"><font size="2"> </font></td>
-</tr>
-<tr style="font-size:1.5pt;" valign="TOP">
-<td valign="BOTTOM" style="font-family:times;"> </td>
-<td valign="BOTTOM" style="font-family:times;"> </td>
-<td colspan="2" align="RIGHT" valign="BOTTOM" style="font-family:times;border-bottom:solid #000000 1.0pt;"> </td>
-<td valign="BOTTOM" style="font-family:times;"> </td>
-<td colspan="2" align="RIGHT" valign="BOTTOM" style="font-family:times;border-bottom:solid #000000 1.0pt;"> </td>
-<td valign="BOTTOM" style="font-family:times;"> </td>
-<td colspan="2" align="RIGHT" valign="BOTTOM" style="font-family:times;border-bottom:solid #000000 1.0pt;"> </td>
-<td valign="BOTTOM" style="font-family:times;"> </td>
-<td colspan="2" align="RIGHT" valign="BOTTOM" style="font-family:times;border-bottom:solid #000000 1.0pt;"> </td>
-<td valign="BOTTOM" style="font-family:times;"> </td>
-</tr>
-<tr bgcolor="White" valign="TOP">
-<td valign="BOTTOM" style="font-family:times;"><p style="font-family:times;margin-left:10pt;text-indent:-10pt;"><font size="2"> </font><font size="2">Enterprise Services</font></p></td>
-<td valign="BOTTOM" style="font-family:times;"><font size="2"> </font></td>
-<td valign="BOTTOM" style="font-family:times;"><font size="2"> </font></td>
-<td align="RIGHT" valign="BOTTOM" style="font-family:times;"><font size="2">5,999</font></td>
-<td valign="BOTTOM" style="font-family:times;"><font size="2"> </font></td>
-<td valign="BOTTOM" style="font-family:times;"><font size="2"> </font></td>
-<td align="RIGHT" valign="BOTTOM" style="font-family:times;"><font size="2">6,489</font></td>
-<td valign="BOTTOM" style="font-family:times;"><font size="2"> </font></td>
-<td valign="BOTTOM" style="font-family:times;"><font size="2"> </font></td>
-<td align="RIGHT" valign="BOTTOM" style="font-family:times;"><font size="2">11,918</font></td>
-<td valign="BOTTOM" style="font-family:times;"><font size="2"> </font></td>
-<td valign="BOTTOM" style="font-family:times;"><font size="2"> </font></td>
-<td align="RIGHT" valign="BOTTOM" style="font-family:times;"><font size="2">12,860</font></td>
-<td valign="BOTTOM" style="font-family:times;"><font size="2"> </font></td>
-</tr>
-<tr style="font-size:1.5pt;" valign="TOP">
-<td valign="BOTTOM" style="font-family:times;"> </td>
-<td valign="BOTTOM" style="font-family:times;"> </td>
-<td colspan="2" align="RIGHT" valign="BOTTOM" style="font-family:times;border-bottom:solid #000000 1.0pt;"> </td>
-<td valign="BOTTOM" style="font-family:times;"> </td>
-<td colspan="2" align="RIGHT" valign="BOTTOM" style="font-family:times;border-bottom:solid #000000 1.0pt;"> </td>
-<td valign="BOTTOM" style="font-family:times;"> </td>
-<td colspan="2" align="RIGHT" valign="BOTTOM" style="font-family:times;border-bottom:solid #000000 1.0pt;"> </td>
-<td valign="BOTTOM" style="font-family:times;"> </td>
-<td colspan="2" align="RIGHT" valign="BOTTOM" style="font-family:times;border-bottom:solid #000000 1.0pt;"> </td>
-<td valign="BOTTOM" style="font-family:times;"> </td>
-</tr>
-<tr bgcolor="#CCEEFF" valign="TOP">
-<td valign="BOTTOM" style="font-family:times;"><p style="font-family:times;margin-left:10pt;text-indent:-10pt;"><font size="2"> </font><font size="2">Software</font></p></td>
-<td valign="BOTTOM" style="font-family:times;"><font size="2"> </font></td>
-<td valign="BOTTOM" style="font-family:times;"><font size="2"> </font></td>
-<td align="RIGHT" valign="BOTTOM" style="font-family:times;"><font size="2">941</font></td>
-<td valign="BOTTOM" style="font-family:times;"><font size="2"> </font></td>
-<td valign="BOTTOM" style="font-family:times;"><font size="2"> </font></td>
-<td align="RIGHT" valign="BOTTOM" style="font-family:times;"><font size="2">970</font></td>
-<td valign="BOTTOM" style="font-family:times;"><font size="2"> </font></td>
-<td valign="BOTTOM" style="font-family:times;"><font size="2"> </font></td>
-<td align="RIGHT" valign="BOTTOM" style="font-family:times;"><font size="2">1,867</font></td>
-<td valign="BOTTOM" style="font-family:times;"><font size="2"> </font></td>
-<td valign="BOTTOM" style="font-family:times;"><font size="2"> </font></td>
-<td align="RIGHT" valign="BOTTOM" style="font-family:times;"><font size="2">1,916</font></td>
-<td valign="BOTTOM" style="font-family:times;"><font size="2"> </font></td>
-</tr>
-<tr bgcolor="White" valign="TOP">
-<td valign="BOTTOM" style="font-family:times;"><p style="font-family:times;margin-left:10pt;text-indent:-10pt;"><font size="2"> </font><font size="2">HP Financial Services</font></p></td>
-<td valign="BOTTOM" style="font-family:times;"><font size="2"> </font></td>
-<td valign="BOTTOM" style="font-family:times;"><font size="2"> </font></td>
-<td align="RIGHT" valign="BOTTOM" style="font-family:times;"><font size="2">881</font></td>
-<td valign="BOTTOM" style="font-family:times;"><font size="2"> </font></td>
-<td valign="BOTTOM" style="font-family:times;"><font size="2"> </font></td>
-<td align="RIGHT" valign="BOTTOM" style="font-family:times;"><font size="2">968</font></td>
-<td valign="BOTTOM" style="font-family:times;"><font size="2"> </font></td>
-<td valign="BOTTOM" style="font-family:times;"><font size="2"> </font></td>
-<td align="RIGHT" valign="BOTTOM" style="font-family:times;"><font size="2">1,838</font></td>
-<td valign="BOTTOM" style="font-family:times;"><font size="2"> </font></td>
-<td valign="BOTTOM" style="font-family:times;"><font size="2"> </font></td>
-<td align="RIGHT" valign="BOTTOM" style="font-family:times;"><font size="2">1,918</font></td>
-<td valign="BOTTOM" style="font-family:times;"><font size="2"> </font></td>
-</tr>
-<tr bgcolor="#CCEEFF" valign="TOP">
-<td valign="BOTTOM" style="font-family:times;"><p style="font-family:times;margin-left:10pt;text-indent:-10pt;"><font size="2"> </font><font size="2">Corporate Investments</font></p></td>
-<td valign="BOTTOM" style="font-family:times;"><font size="2"> </font></td>
-<td valign="BOTTOM" style="font-family:times;"><font size="2"> </font></td>
-<td align="RIGHT" valign="BOTTOM" style="font-family:times;"><font size="2">10</font></td>
-<td valign="BOTTOM" style="font-family:times;"><font size="2"> </font></td>
-<td valign="BOTTOM" style="font-family:times;"><font size="2"> </font></td>
-<td align="RIGHT" valign="BOTTOM" style="font-family:times;"><font size="2">7</font></td>
-<td valign="BOTTOM" style="font-family:times;"><font size="2"> </font></td>
-<td valign="BOTTOM" style="font-family:times;"><font size="2"> </font></td>
-<td align="RIGHT" valign="BOTTOM" style="font-family:times;"><font size="2">14</font></td>
-<td valign="BOTTOM" style="font-family:times;"><font size="2"> </font></td>
-<td valign="BOTTOM" style="font-family:times;"><font size="2"> </font></td>
-<td align="RIGHT" valign="BOTTOM" style="font-family:times;"><font size="2">37</font></td>
-<td valign="BOTTOM" style="font-family:times;"><font size="2"> </font></td>
-</tr>
-<tr style="font-size:1.5pt;" valign="TOP">
-<td valign="BOTTOM" style="font-family:times;"> </td>
-<td valign="BOTTOM" style="font-family:times;"> </td>
-<td colspan="2" align="RIGHT" valign="BOTTOM" style="font-family:times;border-bottom:solid #000000 1.0pt;"> </td>
-<td valign="BOTTOM" style="font-family:times;"> </td>
-<td colspan="2" align="RIGHT" valign="BOTTOM" style="font-family:times;border-bottom:solid #000000 1.0pt;"> </td>
-<td valign="BOTTOM" style="font-family:times;"> </td>
-<td colspan="2" align="RIGHT" valign="BOTTOM" style="font-family:times;border-bottom:solid #000000 1.0pt;"> </td>
-<td valign="BOTTOM" style="font-family:times;"> </td>
-<td colspan="2" align="RIGHT" valign="BOTTOM" style="font-family:times;border-bottom:solid #000000 1.0pt;"> </td>
-<td valign="BOTTOM" style="font-family:times;"> </td>
-</tr>
-<tr bgcolor="White" valign="TOP">
-<td valign="BOTTOM" style="font-family:times;"><p style="font-family:times;margin-left:30pt;text-indent:-10pt;"><font size="2"> </font><font size="2">Total segments</font></p></td>
-<td valign="BOTTOM" style="font-family:times;"><font size="2"> </font></td>
-<td valign="BOTTOM" style="font-family:times;"><font size="2"> </font></td>
-<td align="RIGHT" valign="BOTTOM" style="font-family:times;"><font size="2">28,315</font></td>
-<td valign="BOTTOM" style="font-family:times;"><font size="2"> </font></td>
-<td valign="BOTTOM" style="font-family:times;"><font size="2"> </font></td>
-<td align="RIGHT" valign="BOTTOM" style="font-family:times;"><font size="2">31,582</font></td>
-<td valign="BOTTOM" style="font-family:times;"><font size="2"> </font></td>
-<td valign="BOTTOM" style="font-family:times;"><font size="2"> </font></td>
-<td align="RIGHT" valign="BOTTOM" style="font-family:times;"><font size="2">57,235</font></td>
-<td valign="BOTTOM" style="font-family:times;"><font size="2"> </font></td>
-<td valign="BOTTOM" style="font-family:times;"><font size="2"> </font></td>
-<td align="RIGHT" valign="BOTTOM" style="font-family:times;"><font size="2">62,311</font></td>
-<td valign="BOTTOM" style="font-family:times;"><font size="2"> </font></td>
-</tr>
-<tr style="font-size:1.5pt;" valign="TOP">
-<td valign="BOTTOM" style="font-family:times;"> </td>
-<td valign="BOTTOM" style="font-family:times;"> </td>
-<td colspan="2" align="RIGHT" valign="BOTTOM" style="font-family:times;border-bottom:solid #000000 1.0pt;"> </td>
-<td valign="BOTTOM" style="font-family:times;"> </td>
-<td colspan="2" align="RIGHT" valign="BOTTOM" style="font-family:times;border-bottom:solid #000000 1.0pt;"> </td>
-<td valign="BOTTOM" style="font-family:times;"> </td>
-<td colspan="2" align="RIGHT" valign="BOTTOM" style="font-family:times;border-bottom:solid #000000 1.0pt;"> </td>
-<td valign="BOTTOM" style="font-family:times;"> </td>
-<td colspan="2" align="RIGHT" valign="BOTTOM" style="font-family:times;border-bottom:solid #000000 1.0pt;"> </td>
-<td valign="BOTTOM" style="font-family:times;"> </td>
-</tr>
-<tr bgcolor="#CCEEFF" valign="TOP">
-<td valign="BOTTOM" style="font-family:times;"><p style="font-family:times;margin-left:10pt;text-indent:-10pt;"><font size="2"> </font><font size="2">Eliminations of intersegment net revenue and other</font></p></td>
-<td valign="BOTTOM" style="font-family:times;"><font size="2"> </font></td>
-<td valign="BOTTOM" style="font-family:times;"><font size="2"> </font></td>
-<td align="RIGHT" valign="BOTTOM" style="font-family:times;"><font size="2">(733</font></td>
-<td valign="BOTTOM" style="font-family:times;"><font size="2">)</font></td>
-<td valign="BOTTOM" style="font-family:times;"><font size="2"> </font></td>
-<td align="RIGHT" valign="BOTTOM" style="font-family:times;"><font size="2">(889</font></td>
-<td valign="BOTTOM" style="font-family:times;"><font size="2">)</font></td>
-<td valign="BOTTOM" style="font-family:times;"><font size="2"> </font></td>
-<td align="RIGHT" valign="BOTTOM" style="font-family:times;"><font size="2">(1,294</font></td>
-<td valign="BOTTOM" style="font-family:times;"><font size="2">)</font></td>
-<td valign="BOTTOM" style="font-family:times;"><font size="2"> </font></td>
-<td align="RIGHT" valign="BOTTOM" style="font-family:times;"><font size="2">(1,582</font></td>
-<td valign="BOTTOM" style="font-family:times;"><font size="2">)</font></td>
-</tr>
-<tr style="font-size:1.5pt;" valign="TOP">
-<td valign="BOTTOM" style="font-family:times;"> </td>
-<td valign="BOTTOM" style="font-family:times;"> </td>
-<td colspan="2" align="RIGHT" valign="BOTTOM" style="font-family:times;border-bottom:solid #000000 1.0pt;"> </td>
-<td valign="BOTTOM" style="font-family:times;"> </td>
-<td colspan="2" align="RIGHT" valign="BOTTOM" style="font-family:times;border-bottom:solid #000000 1.0pt;"> </td>
-<td valign="BOTTOM" style="font-family:times;"> </td>
-<td colspan="2" align="RIGHT" valign="BOTTOM" style="font-family:times;border-bottom:solid #000000 1.0pt;"> </td>
-<td valign="BOTTOM" style="font-family:times;"> </td>
-<td colspan="2" align="RIGHT" valign="BOTTOM" style="font-family:times;border-bottom:solid #000000 1.0pt;"> </td>
-<td valign="BOTTOM" style="font-family:times;"> </td>
-</tr>
-<tr bgcolor="White" valign="TOP">
-<td valign="BOTTOM" style="font-family:times;"><p style="font-family:times;margin-left:30pt;text-indent:-10pt;"><font size="2"> </font><font size="2">Total HP consolidated net revenue</font></p></td>
-<td valign="BOTTOM" style="font-family:times;"><font size="2"> </font></td>
-<td align="RIGHT" valign="BOTTOM" style="font-family:times;"><font size="2">$</font></td>
-<td align="RIGHT" valign="BOTTOM" style="font-family:times;"><font size="2">27,582</font></td>
-<td valign="BOTTOM" style="font-family:times;"><font size="2"> </font></td>
-<td align="RIGHT" valign="BOTTOM" style="font-family:times;"><font size="2">$</font></td>
-<td align="RIGHT" valign="BOTTOM" style="font-family:times;"><font size="2">30,693</font></td>
-<td valign="BOTTOM" style="font-family:times;"><font size="2"> </font></td>
-<td align="RIGHT" valign="BOTTOM" style="font-family:times;"><font size="2">$</font></td>
-<td align="RIGHT" valign="BOTTOM" style="font-family:times;"><font size="2">55,941</font></td>
-<td valign="BOTTOM" style="font-family:times;"><font size="2"> </font></td>
-<td align="RIGHT" valign="BOTTOM" style="font-family:times;"><font size="2">$</font></td>
-<td align="RIGHT" valign="BOTTOM" style="font-family:times;"><font size="2">60,729</font></td>
-<td valign="BOTTOM" style="font-family:times;"><font size="2"> </font></td>
-</tr>
-<tr style="font-size:1.5pt;" valign="TOP">
-<td valign="BOTTOM" style="font-family:times;"> </td>
-<td valign="BOTTOM" style="font-family:times;"> </td>
-<td colspan="2" align="RIGHT" valign="BOTTOM" style="font-family:times;border-bottom:double #000000 2.25pt;"> </td>
-<td valign="BOTTOM" style="font-family:times;"> </td>
-<td colspan="2" align="RIGHT" valign="BOTTOM" style="font-family:times;border-bottom:double #000000 2.25pt;"> </td>
-<td valign="BOTTOM" style="font-family:times;"> </td>
-<td colspan="2" align="RIGHT" valign="BOTTOM" style="font-family:times;border-bottom:double #000000 2.25pt;"> </td>
-<td valign="BOTTOM" style="font-family:times;"> </td>
-<td colspan="2" align="RIGHT" valign="BOTTOM" style="font-family:times;border-bottom:double #000000 2.25pt;"> </td>
-<td valign="BOTTOM" style="font-family:times;"> </td>
-</tr>
-</tbody></table>
diff --git a/pandas/tests/io/data/html/macau.html b/pandas/tests/io/data/html/macau.html
deleted file mode 100644
index edc4ea96f0f20..0000000000000
--- a/pandas/tests/io/data/html/macau.html
+++ /dev/null
@@ -1,3691 +0,0 @@
-<!DOCTYPE html PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN" "http://www.w3.org/TR/html4/loose.dtd">
-<!-- saved from url=(0037)http://www.camacau.com/statistic_list -->
-<html><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8">
-
-
-<link rel="stylesheet" type="text/css" href="./macau_files/style.css" media="screen">
-<script type="text/javascript" src="./macau_files/jquery.js"></script>
-
-
-
-
-
-<script type="text/javascript">
-
-function slideSwitch() {
-
- var $active = $('#banner1 a.active');
-
- var totalTmp=document.getElementById("bannerTotal").innerHTML;
-
- var randomTmp=Math.floor(Math.random()*totalTmp+1);
-
- var $next = $('#image'+randomTmp).length?$('#image'+randomTmp):$('#banner1 a:first');
-
- if($next.attr("id")==$active.attr("id")){
-
- $next = $active.next().length ? $active.next():$('#banner1 a:first');
- }
-
- $active.removeClass("active");
-
- $next.addClass("active").show();
-
- $active.hide();
-
-}
-
-jQuery(function() {
-
- var totalTmp=document.getElementById("bannerTotal").innerHTML;
- if(totalTmp>1){
- setInterval( "slideSwitch()", 5000 );
- }
-
-});
-
-</script>
-<script type="text/javascript">
-function close_notice(){
-jQuery("#tbNotice").hide();
-}
-</script>
-
-<title>Traffic Statistics - Passengers</title>
-
-<!-- GOOGLE STATISTICS
-<script type="text/javascript">
-
- var _gaq = _gaq || [];
- _gaq.push(['_setAccount', 'UA-24989877-2']);
- _gaq.push(['_trackPageview']);
-
- (function() {
- var ga = document.createElement('script'); ga.type = 'text/javascript'; ga.async = true;
- ga.src = ('https:' == document.location.protocol ? 'https://ssl' : 'http://www') + '.google-analytics.com/ga.js';
- var s = document.getElementsByTagName('script')[0]; s.parentNode.insertBefore(ga, s);
- })();
-
-</script>
--->
-<style type="text/css"></style><style type="text/css"></style><script id="fireplug-jssdk" src="./macau_files/all.js"></script><style type="text/css">.fireplug-credit-widget-overlay{z-index:9999999999999999999;background-color:rgba(91,91,91,0.6)}.fireplug-credit-widget-overlay div,.fireplug-credit-widget-overlay span,.fireplug-credit-widget-overlay applet,.fireplug-credit-widget-overlay object,.fireplug-credit-widget-overlay iframe,.fireplug-credit-widget-overlay h1,.fireplug-credit-widget-overlay h2,.fireplug-credit-widget-overlay h3,.fireplug-credit-widget-overlay h4,.fireplug-credit-widget-overlay h5,.fireplug-credit-widget-overlay h6,.fireplug-credit-widget-overlay p,.fireplug-credit-widget-overlay blockquote,.fireplug-credit-widget-overlay pre,.fireplug-credit-widget-overlay a,.fireplug-credit-widget-overlay abbr,.fireplug-credit-widget-overlay acronym,.fireplug-credit-widget-overlay address,.fireplug-credit-widget-overlay big,.fireplug-credit-widget-overlay cite,.fireplug-credit-widget-overlay code,.fireplug-credit-widget-overlay del,.fireplug-credit-widget-overlay dfn,.fireplug-credit-widget-overlay em,.fireplug-credit-widget-overlay img,.fireplug-credit-widget-overlay ins,.fireplug-credit-widget-overlay kbd,.fireplug-credit-widget-overlay q,.fireplug-credit-widget-overlay s,.fireplug-credit-widget-overlay samp,.fireplug-credit-widget-overlay small,.fireplug-credit-widget-overlay strike,.fireplug-credit-widget-overlay strong,.fireplug-credit-widget-overlay sub,.fireplug-credit-widget-overlay sup,.fireplug-credit-widget-overlay tt,.fireplug-credit-widget-overlay var,.fireplug-credit-widget-overlay b,.fireplug-credit-widget-overlay u,.fireplug-credit-widget-overlay i,.fireplug-credit-widget-overlay center,.fireplug-credit-widget-overlay dl,.fireplug-credit-widget-overlay dt,.fireplug-credit-widget-overlay dd,.fireplug-credit-widget-overlay ol,.fireplug-credit-widget-overlay ul,.fireplug-credit-widget-overlay li,.fireplug-credit-widget-overlay fieldset,.fireplug-credit-widget-overlay form,.fireplug-credit-widget-overlay label,.fireplug-credit-widget-overlay legend,.fireplug-credit-widget-overlay table,.fireplug-credit-widget-overlay caption,.fireplug-credit-widget-overlay tbody,.fireplug-credit-widget-overlay tfoot,.fireplug-credit-widget-overlay thead,.fireplug-credit-widget-overlay tr,.fireplug-credit-widget-overlay th,.fireplug-credit-widget-overlay td,.fireplug-credit-widget-overlay article,.fireplug-credit-widget-overlay aside,.fireplug-credit-widget-overlay canvas,.fireplug-credit-widget-overlay details,.fireplug-credit-widget-overlay embed,.fireplug-credit-widget-overlay figure,.fireplug-credit-widget-overlay figcaption,.fireplug-credit-widget-overlay footer,.fireplug-credit-widget-overlay header,.fireplug-credit-widget-overlay hgroup,.fireplug-credit-widget-overlay menu,.fireplug-credit-widget-overlay nav,.fireplug-credit-widget-overlay output,.fireplug-credit-widget-overlay ruby,.fireplug-credit-widget-overlay section,.fireplug-credit-widget-overlay summary,.fireplug-credit-widget-overlay time,.fireplug-credit-widget-overlay mark,.fireplug-credit-widget-overlay audio,.fireplug-credit-widget-overlay video{margin:0;padding:0;border:0;font:inherit;font-size:100%;vertical-align:baseline}.fireplug-credit-widget-overlay table{border-collapse:collapse;border-spacing:0}.fireplug-credit-widget-overlay caption,.fireplug-credit-widget-overlay th,.fireplug-credit-widget-overlay td{text-align:left;font-weight:normal;vertical-align:middle}.fireplug-credit-widget-overlay q,.fireplug-credit-widget-overlay blockquote{quotes:none}.fireplug-credit-widget-overlay q:before,.fireplug-credit-widget-overlay q:after,.fireplug-credit-widget-overlay blockquote:before,.fireplug-credit-widget-overlay blockquote:after{content:"";content:none}.fireplug-credit-widget-overlay a img{border:none}.fireplug-credit-widget-overlay .fireplug-credit-widget-overlay-item{z-index:9999999999999999999;-webkit-box-shadow:#333 0px 0px 10px;-moz-box-shadow:#333 0px 0px 10px;box-shadow:#333 0px 0px 10px}.fireplug-credit-widget-overlay-body{height:100% !important;overflow:hidden !important}.fp-getcredit iframe{border:none;overflow:hidden;height:20px;width:145px}
-</style></head>
-<body>
-<div id="full">
-<div id="container">
-
-
-<div id="top">
- <div id="lang">
-
- <a href="http://www.camacau.com/changeLang?lang=zh_TW&url=/statistic_list">繁體中文</a> |
- <a href="http://www.camacau.com/changeLang?lang=zh_CN&url=/statistic_list">簡體中文</a>
- <!--<a href="changeLang?lang=pt_PT&url=/statistic_list" >Portuguese</a>
- -->
- </div>
-</div>
-
-<div id="header">
- <div id="sitelogo"><a href="http://www.camacau.com/index" style="color : #FFF;"><img src="./macau_files/cam h04.jpg"></a></div>
- <div id="navcontainer">
- <div id="menu">
- <div id="search">
- <form id="searchForm" name="searchForm" action="http://www.camacau.com/search" method="POST">
- <input id="keyword" name="keyword" type="text">
- <a href="javascript:document.searchForm.submit();">Search</a> |
- <a href="mailto:mkd@macau-airport.com">Contact Us</a> |
- <a href="http://www.camacau.com/sitemap">SiteMap</a> |
-
- <a href="http://www.camacau.com/rssBuilder.action"><img src="./macau_files/rssIcon.png" alt="RSS">RSS</a>
- </form></div>
- </div>
-</div>
-</div>
-<div id="menu2">
- <div>
-
-
- <object classid="clsid:D27CDB6E-AE6D-11cf-96B8-444553540000" width="95" height="20" id="FlashID4" title="Main Page">
- <param name="movie" value="flash/button_index_EN.swf">
- <param name="quality" value="high">
- <param name="scale" value="exactfit">
- <param name="wmode" value="opaque">
- <param name="swfversion" value="6.0.65.0">
- <!-- 此 param 標籤會提示使用 Flash Player 6.0 r65 和更新版本的使用者下載最新版本的 Flash Player。如果您不想讓使用者看到這項提示，請將其刪除。 -->
- <param name="expressinstall" value="flash/expressInstall.swf">
- <!-- 下一個物件標籤僅供非 IE 瀏覽器使用。因此，請使用 IECC 將其自 IE 隱藏。 -->
- <!--[if !IE]>-->
- <object type="application/x-shockwave-flash" data="http://www.camacau.com/flash/button_index_EN.swf" width="92" height="20">
- <!--<![endif]-->
- <param name="quality" value="high">
- <param name="scale" value="exactfit">
- <param name="wmode" value="opaque">
- <param name="swfversion" value="6.0.65.0">
- <param name="expressinstall" value="flash/expressInstall.swf">
- <!-- 瀏覽器會為使用 Flash Player 6.0 和更早版本的使用者顯示下列替代內容。 -->
- <div>
- <h4>這個頁面上的內容需要較新版本的 Adobe Flash Player。</h4>
- <p><a href="http://www.adobe.com/go/getflashplayer"><img src="./macau_files/get_flash_player.gif" alt="取得 Adobe Flash Player" width="112" height="33"></a></p>
- </div>
- <!--[if !IE]>-->
- </object>
- <!--<![endif]-->
- </object>
-
- <object classid="clsid:D27CDB6E-AE6D-11cf-96B8-444553540000" width="95" height="20" id="FlashID4" title="Our Business">
- <param name="movie" value="flash/button_our business_EN.swf">
- <param name="quality" value="high">
- <param name="scale" value="exactfit">
- <param name="wmode" value="opaque">
- <param name="swfversion" value="6.0.65.0">
- <!-- 此 param 標籤會提示使用 Flash Player 6.0 r65 和更新版本的使用者下載最新版本的 Flash Player。如果您不想讓使用者看到這項提示，請將其刪除。 -->
- <param name="expressinstall" value="flash/expressInstall.swf">
- <!-- 下一個物件標籤僅供非 IE 瀏覽器使用。因此，請使用 IECC 將其自 IE 隱藏。 -->
- <!--[if !IE]>-->
- <object type="application/x-shockwave-flash" data="http://www.camacau.com/flash/button_our%20business_EN.swf" width="92" height="20">
- <!--<![endif]-->
- <param name="quality" value="high">
- <param name="scale" value="exactfit">
- <param name="wmode" value="opaque">
- <param name="swfversion" value="6.0.65.0">
- <param name="expressinstall" value="flash/expressInstall.swf">
- <!-- 瀏覽器會為使用 Flash Player 6.0 和更早版本的使用者顯示下列替代內容。 -->
- <div>
- <h4>這個頁面上的內容需要較新版本的 Adobe Flash Player。</h4>
- <p><a href="http://www.adobe.com/go/getflashplayer"><img src="./macau_files/get_flash_player.gif" alt="取得 Adobe Flash Player" width="112" height="33"></a></p>
- </div>
- <!--[if !IE]>-->
- </object>
- <!--<![endif]-->
- </object>
-
- <object id="FlashID" classid="clsid:D27CDB6E-AE6D-11cf-96B8-444553540000" width="95" height="20" title="About Us">
- <param name="movie" value="flash/button_about us_EN.swf">
- <param name="quality" value="high">
- <param name="scale" value="exactfit">
- <param name="wmode" value="opaque">
- <param name="swfversion" value="6.0.65.0">
- <!-- 此 param 標籤會提示使用 Flash Player 6.0 r65 和更新版本的使用者下載最新版本的 Flash Player。如果您不想讓使用者看到這項提示，請將其刪除。 -->
- <param name="expressinstall" value="flash/expressInstall.swf">
- <!-- 下一個物件標籤僅供非 IE 瀏覽器使用。因此，請使用 IECC 將其自 IE 隱藏。 -->
- <!--[if !IE]>-->
- <object type="application/x-shockwave-flash" data="http://www.camacau.com/flash/button_about%20us_EN.swf" width="92" height="20">
- <!--<![endif]-->
- <param name="quality" value="high">
- <param name="scale" value="exactfit">
- <param name="wmode" value="opaque">
- <param name="swfversion" value="6.0.65.0">
- <param name="expressinstall" value="flash/expressInstall.swf">
- <!-- 瀏覽器會為使用 Flash Player 6.0 和更早版本的使用者顯示下列替代內容。 -->
- <div>
- <h4>這個頁面上的內容需要較新版本的 Adobe Flash Player。</h4>
- <p><a href="http://www.adobe.com/go/getflashplayer"><img src="./macau_files/get_flash_player.gif" alt="取得 Adobe Flash Player" width="112" height="33"></a></p>
- </div>
- <!--[if !IE]>-->
- </object>
- <!--<![endif]-->
- </object>
-
- <object id="FlashID3" classid="clsid:D27CDB6E-AE6D-11cf-96B8-444553540000" width="95" height="20" title="Media Centre">
- <param name="movie" value="flash/button_media centre_EN.swf">
- <param name="quality" value="high">
- <param name="scale" value="exactfit">
- <param name="wmode" value="opaque">
- <param name="swfversion" value="6.0.65.0">
- <!-- 此 param 標籤會提示使用 Flash Player 6.0 r65 和更新版本的使用者下載最新版本的 Flash Player。如果您不想讓使用者看到這項提示，請將其刪除。 -->
- <param name="expressinstall" value="flash/expressInstall.swf">
- <!-- 下一個物件標籤僅供非 IE 瀏覽器使用。因此，請使用 IECC 將其自 IE 隱藏。 -->
- <!--[if !IE]>-->
- <object type="application/x-shockwave-flash" data="http://www.camacau.com/flash/button_media%20centre_EN.swf" width="92" height="20">
- <!--<![endif]-->
- <param name="quality" value="high">
- <param name="wmode" value="opaque">
- <param name="scale" value="exactfit">
- <param name="swfversion" value="6.0.65.0">
- <param name="expressinstall" value="flash/expressInstall.swf">
- <!-- 瀏覽器會為使用 Flash Player 6.0 和更早版本的使用者顯示下列替代內容。 -->
- <div>
- <h4>這個頁面上的內容需要較新版本的 Adobe Flash Player。</h4>
- <p><a href="http://www.adobe.com/go/getflashplayer"><img src="./macau_files/get_flash_player.gif" alt="取得 Adobe Flash Player" width="112" height="33"></a></p>
- </div>
- <!--[if !IE]>-->
- </object>
- <!--<![endif]-->
- </object>
-
- <object classid="clsid:D27CDB6E-AE6D-11cf-96B8-444553540000" width="95" height="20" id="FlashID5" title="Related Links">
- <param name="movie" value="flash/button_related links_EN.swf">
- <param name="quality" value="high">
- <param name="scale" value="exactfit">
- <param name="wmode" value="opaque">
- <param name="swfversion" value="6.0.65.0">
- <!-- 此 param 標籤會提示使用 Flash Player 6.0 r65 和更新版本的使用者下載最新版本的 Flash Player。如果您不想讓使用者看到這項提示，請將其刪除。 -->
- <param name="expressinstall" value="flash/expressInstall.swf">
- <!-- 下一個物件標籤僅供非 IE 瀏覽器使用。因此，請使用 IECC 將其自 IE 隱藏。 -->
- <!--[if !IE]>-->
- <object type="application/x-shockwave-flash" data="http://www.camacau.com/flash/button_related%20links_EN.swf" width="92" height="20">
- <!--<![endif]-->
- <param name="quality" value="high">
- <param name="scale" value="exactfit">
- <param name="wmode" value="opaque">
- <param name="swfversion" value="6.0.65.0">
- <param name="expressinstall" value="flash/expressInstall.swf">
- <!-- 瀏覽器會為使用 Flash Player 6.0 和更早版本的使用者顯示下列替代內容。 -->
- <div>
- <h4>這個頁面上的內容需要較新版本的 Adobe Flash Player。</h4>
- <p><a href="http://www.adobe.com/go/getflashplayer"><img src="./macau_files/get_flash_player.gif" alt="取得 Adobe Flash Player" width="112" height="33"></a></p>
- </div>
- <!--[if !IE]>-->
- </object>
- <!--<![endif]-->
- </object>
-
- <object id="FlashID2" classid="clsid:D27CDB6E-AE6D-11cf-96B8-444553540000" width="95" height="20" title="Interactive">
- <param name="movie" value="flash/button_interactive_EN.swf">
- <param name="quality" value="high">
- <param name="scale" value="exactfit">
- <param name="wmode" value="opaque">
- <param name="swfversion" value="6.0.65.0">
- <!-- 此 param 標籤會提示使用 Flash Player 6.0 r65 和更新版本的使用者下載最新版本的 Flash Player。如果您不想讓使用者看到這項提示，請將其刪除。 -->
- <param name="expressinstall" value="flash/expressInstall.swf">
- <!-- 下一個物件標籤僅供非 IE 瀏覽器使用。因此，請使用 IECC 將其自 IE 隱藏。 -->
- <!--[if !IE]>-->
- <object type="application/x-shockwave-flash" data="http://www.camacau.com/flash/button_interactive_EN.swf" width="92" height="20">
- <!--<![endif]-->
- <param name="quality" value="high">
- <param name="scale" value="exactfit">
- <param name="wmode" value="opaque">
- <param name="swfversion" value="6.0.65.0">
- <param name="expressinstall" value="flash/expressInstall.swf">
- <!-- 瀏覽器會為使用 Flash Player 6.0 和更早版本的使用者顯示下列替代內容。 -->
- <div>
- <h4>這個頁面上的內容需要較新版本的 Adobe Flash Player。</h4>
- <p><a href="http://www.adobe.com/go/getflashplayer"><img src="./macau_files/get_flash_player.gif" alt="取得 Adobe Flash Player" width="112" height="33"></a></p>
- </div>
- <!--[if !IE]>-->
- </object>
- <!--<![endif]-->
- </object>
-
- <!--<object classid="clsid:D27CDB6E-AE6D-11cf-96B8-444553540000" width="95" height="20" id="FlashID4" title="Group of Public">
- <param name="movie" value="flash/button_pressRelease_EN.swf" />
- <param name="quality" value="high" />
- <param name="scale" value="exactfit">
- <param name="wmode" value="opaque" />
- <param name="swfversion" value="6.0.65.0" />
- 此 param 標籤會提示使用 Flash Player 6.0 r65 和更新版本的使用者下載最新版本的 Flash Player。如果您不想讓使用者看到這項提示，請將其刪除。
- <param name="expressinstall" value="flash/expressInstall.swf" />
- 下一個物件標籤僅供非 IE 瀏覽器使用。因此，請使用 IECC 將其自 IE 隱藏。
- [if !IE]>
- <object type="application/x-shockwave-flash" data="flash/button_pressRelease_EN.swf" width="92" height="20">
- <![endif]
- <param name="quality" value="high" />
- <param name="scale" value="exactfit">
- <param name="wmode" value="opaque" />
- <param name="swfversion" value="6.0.65.0" />
- <param name="expressinstall" value="flash/expressInstall.swf" />
- 瀏覽器會為使用 Flash Player 6.0 和更早版本的使用者顯示下列替代內容。
- <div>
- <h4>這個頁面上的內容需要較新版本的 Adobe Flash Player。</h4>
- <p><a href="http://www.adobe.com/go/getflashplayer"><img src="http://www.adobe.com/images/shared/download_buttons/get_flash_player.gif" alt="取得 Adobe Flash Player" width="112" height="33" /></a></p>
- </div>
- [if !IE]>
- </object>
- <![endif]
- </object>
-
- --></div>
- </div>
-
-
-
-
-
-
-
-<style>
-#slider ul li
-{
-height: 90px;
-list-style:none;
-width:95%;
-font-size:11pt;
-text-indent:2em;
-text-align:justify;
-text-justify:inter-ideograph;
-color:#663300;
-}
-
-
-#slider
-{
-margin: auto;
-overflow: hidden;
-/* Non Core */
-background: #f6f7f8;
-box-shadow: 4px 4px 15px #aaa;
--o-box-shadow: 4px 4px 15px #aaa;
--icab-box-shadow: 4px 4px 15px #aaa;
--khtml-box-shadow: 4px 4px 15px #aaa;
--moz-box-shadow: 4px 4px 15px #aaa;
--webkit-box-shadow: 4px 4px 15px #aaa;
-border: 4px solid #bcc5cb;
-
-border-width: 1px 2px 2px 1px;
-
--o-border-radius: 10px;
--icab-border-radius: 10px;
--khtml-border-radius: 10px;
--moz-border-radius: 10px;
--webkit-border-radius: 10px;
-border-radius: 10px;
-
-}
-
-#close_tbNotice img
-{
-width:20px;
-height:20px;
-align:right;
-cursor:pointer;
-}
-</style>
-
-<div id="banner">
- <!--<div id="leftGradient"></div>-->
-
- <table id="tbNotice" style="display:none;width:800px;z-index:999;position:absolute;left:20%;" align="center">
- <tbody><tr height="40px"><td></td></tr>
- <tr><td>
-
- <div id="slider">
- <div id="close_tbNotice"><img src="./macau_files/delete.png" onclick="close_notice()"></div>
- <ul>
- <li>
-
-
-
-
- </li>
- </ul>
-
- </div>
- <div id="show_notice" style="display:none;">
-
- </div>
-
- </td>
-
- </tr>
- <tr><td align="right"></td></tr>
- </tbody></table>
-
-
- <div class="gradient">
-
- </div>
- <div class="banner1" id="banner1">
-
-
-
-
- <a href="http://www.macau-airport.com/" target="_blank" style="display: none;" id="image1" class="">
- <img src="./macau_files/41.jpeg" alt="Slideshow Image 1">
- </a>
-
-
-
-
-
- <a href="http://www.macau-airport.com/" target="_blank" style="display: none;" id="image2" class="">
- <img src="./macau_files/45.jpeg" alt="Slideshow Image 2">
- </a>
-
-
-
-
-
- <a href="http://www.macau-airport.com/" target="_blank" style="display: none;" id="image3" class="">
- <img src="./macau_files/46.jpeg" alt="Slideshow Image 3">
- </a>
-
-
-
-
-
- <a href="http://www.macau-airport.com/" target="_blank" style="display: inline;" id="image4" class="active">
- <img src="./macau_files/47.jpeg" alt="Slideshow Image 4">
- </a>
-
-
-
-
-
- <a href="http://www.macau-airport.com/" target="_blank" style="display: none;" id="image5" class="">
- <img src="./macau_files/48.jpeg" alt="Slideshow Image 5">
- </a>
-
-
-
-
-
- <a href="http://www.macau-airport.com/" target="_blank" style="display: none;" id="image6" class="">
- <img src="./macau_files/49.jpeg" alt="Slideshow Image 6">
- </a>
-
-
-
-
-
- <a href="http://www.4cpscac.com/" target="_blank" style="display: none;" id="image7" class="">
- <img src="./macau_files/50.jpg" alt="Slideshow Image 7">
- </a>
-
-
-
-
- </div>
- <div id="bannerTotal" style="display:none;">7</div>
-</div>
-
-<div id="content">
- <div id="leftnav">
-
- <div id="navmenu">
-
-
-
-
-
-<link href="./macau_files/ddaccordion.css" rel="stylesheet" type="text/css">
-<script type="text/javascript" src="./macau_files/ddaccordion.js"></script>
-
-
-
-<script type="text/javascript">
- ddaccordion.init({
- headerclass: "leftmenu_silverheader", //Shared CSS class name of headers group
- contentclass: "leftmenu_submenu", //Shared CSS class name of contents group
- revealtype: "clickgo", //Reveal content when user clicks or onmouseover the header? Valid value: "click", "clickgo", or "mouseover"
- mouseoverdelay: 100, //if revealtype="mouseover", set delay in milliseconds before header expands onMouseover
- collapseprev: true, //Collapse previous content (so only one open at any time)? true/false
- defaultexpanded: [0], //index of content(s) open by default [index1, index2, etc] [] denotes no content
- onemustopen: false, //Specify whether at least one header should be open always (so never all headers closed)
- animatedefault: true, //Should contents open by default be animated into view?
- persiststate: true, //persist state of opened contents within browser session?
- toggleclass: ["", "selected"], //Two CSS classes to be applied to the header when it's collapsed and expanded, respectively ["class1", "class2"]
- togglehtml: ["", "", ""], //Additional HTML added to the header when it's collapsed and expanded, respectively ["position", "html1", "html2"] (see docs)
- animatespeed: "normal", //speed of animation: integer in milliseconds (ie: 200), or keywords "fast", "normal", or "slow"
- oninit:function(headers, expandedindices){ //custom code to run when headers have initialized
- //do nothing
- },
- onopenclose:function(header, index, state, isuseractivated){ //custom code to run whenever a header is opened or closed
- //do nothing
-
- }
-});
-</script><style type="text/css">
-.leftmenu_submenu{display: none}
-a.hiddenajaxlink{display: none}
-</style>
-
-
- <table>
- <tbody><tr><td><img width="20" height="15" src="./macau_files/double.gif"></td><td><a href="http://www.camacau.com/geographic_information">MIA Geographical Information</a></td></tr>
- <tr><td><img width="20" height="15" src="./macau_files/double.gif"></td><td><a href="http://www.camacau.com/airport_services">Scope of Service</a></td></tr>
- <tr><td><img width="20" height="15" src="./macau_files/double.gif"></td><td><a href="http://www.camacau.com/services_agreement">Air Services Agreement</a></td></tr>
- <tr><td><img width="20" height="15" src="./macau_files/double.gif"></td><td><a href="http://www.camacau.com/airport_charges" class="leftmenu_silverheader selected" headerindex="0h"><span>Airport Charges</span></a></td></tr>
- <tr><td colspan="2" style="padding-top:0px;padding-bottom:0px;padding-right:0px;">
- <table class="leftmenu_submenu" contentindex="0c" style="display: block;">
- <tbody><tr><td> </td><td><table class="submenu"><tbody><tr><td><img width="20" height="15" src="./macau_files/sub_icon.gif"></td><td><a href="http://www.camacau.com/airport_charges1">Passenger Service Fees</a></td></tr></tbody></table></td></tr>
- <tr><td> </td><td><table class="submenu"><tbody><tr><td><img width="20" height="15" src="./macau_files/sub_icon.gif"></td><td><a href="http://www.camacau.com/airport_charges2">Aircraft Parking fees</a></td></tr></tbody></table></td></tr>
- <tr><td> </td><td><table class="submenu"><tbody><tr><td><img width="20" height="15" src="./macau_files/sub_icon.gif"></td><td><a href="http://www.camacau.com/airport_charges3">Airport Security Fee</a></td></tr></tbody></table></td></tr>
- <tr><td> </td><td><table class="submenu"><tbody><tr><td><img width="20" height="15" src="./macau_files/sub_icon.gif"></td><td><a href="http://www.camacau.com/airport_charges4">Utilization fees</a></td></tr></tbody></table></td></tr>
- <tr><td> </td><td><table class="submenu"><tbody><tr><td><img width="20" height="15" src="./macau_files/sub_icon.gif"></td><td><a href="http://www.camacau.com/airport_charges5">Refuelling Charge</a></td></tr></tbody></table></td></tr>
- <tr><td> </td><td><table class="submenu"><tbody><tr><td><img width="20" height="15" src="./macau_files/sub_icon.gif"></td><td><a href="http://www.camacau.com/calculation">Calculation of Landing fee Rate</a></td></tr></tbody></table></td></tr>
- </tbody></table>
- </td>
- </tr>
- <tr><td><img width="20" height="15" src="./macau_files/double.gif"></td><td><a href="http://www.camacau.com/application_facilities">Application of Credit Facilities</a></td></tr>
- <tr><td><img width="20" height="15" src="./macau_files/double.gif"></td><td><a href="javascript:void(0)" class="leftmenu_silverheader " headerindex="1h"><span>Passenger Flight Incentive Program</span></a></td></tr>
- <tr><td colspan="2" style="padding-top:0px;padding-bottom:0px;padding-right:0px;">
- <table class="leftmenu_submenu" contentindex="1c" style="display: none;">
- <tbody><tr><td> </td><td><table class="submenu"><tbody><tr><td><img width="20" height="15" src="./macau_files/sub_icon.gif"></td><td><a href="http://www.camacau.com/incentive_program1">Incentive policy for new routes and additional flights</a></td></tr></tbody></table></td></tr>
- <tr><td> </td><td><table class="submenu"><tbody><tr><td><img width="20" height="15" src="./macau_files/sub_icon.gif"></td><td><a href="http://www.camacau.com/incentive_program1_1">Passenger flights</a></td></tr></tbody></table></td></tr>
- <tr><td> </td><td><table class="submenu"><tbody><tr><td><img width="20" height="15" src="./macau_files/sub_icon.gif"></td><td><a href="http://www.camacau.com/incentive_program1_2">Charter flights</a></td></tr></tbody></table></td></tr>
- <tr><td> </td><td><table class="submenu"><tbody><tr><td><img width="20" height="15" src="./macau_files/sub_icon.gif"></td><td><a href="http://www.camacau.com/docs/MIA_Route_Development_IncentiveApp_Form.pdf" target="_blank">Route Development Incentive Application Form</a></td></tr></tbody></table></td></tr>
- <tr><td> </td><td><table class="submenu"><tbody><tr><td><img width="20" height="15" src="./macau_files/sub_icon.gif"></td><td><a href="http://www.camacau.com/online_application">Online Application</a></td></tr></tbody></table></td></tr>
- </tbody></table>
- </td>
- </tr>
-
- <tr><td><img width="20" height="15" src="./macau_files/double.gif"></td><td><a href="http://www.camacau.com/slot_application">Slot Application</a></td></tr>
-
- <tr><td><img width="20" height="15" src="./macau_files/double.gif"></td><td><a href="http://www.camacau.com/freighter_forwards">Macau Freight Forwarders</a></td></tr>
- <tr><td><img width="20" height="15" src="./macau_files/double.gif"></td><td><a href="http://www.camacau.com/ctplatform">Cargo Tracking Platform</a></td></tr>
- <tr><td><img width="20" height="15" src="./macau_files/double.gif"></td><td><a href="http://www.camacau.com/for_rent">For Rent</a></td></tr>
- <tr><td><img width="20" height="15" src="./macau_files/double.gif"></td><td><a href="http://www.camacau.com/capacity">Airport Capacity</a></td></tr>
-
- <tr><td><img width="20" height="15" src="./macau_files/double.gif"></td><td style="color: #606060;text-decoration: none;"><a href="javascript:void(0)" class="leftmenu_silverheader " headerindex="2h">Airport Characteristics & Traffic Statistics</a></td></tr>
- <tr><td colspan="2" style="padding-top:0px;padding-bottom:0px;padding-right:0px;">
- <table class="leftmenu_submenu" contentindex="2c" style="display: none;">
- <!--<tr><td> </td><td><table class="submenu"><tr><td><img width="20" height="15" src="images/sub_icon.gif"/></td><td><a href="airport_characteristics">Airport Characteristics</a></td></tr></table></td></tr>
- -->
- <tbody><tr><td> </td><td><table class="submenu"><tbody><tr><td><img width="20" height="15" src="./macau_files/sub_icon.gif"></td><td><a href="./macau_files/macau.html">Traffic Statistics - Passengers</a></td></tr></tbody></table></td></tr>
- <tr><td> </td><td><table class="submenu"><tbody><tr><td><img width="20" height="15" src="./macau_files/sub_icon.gif"></td><td><a href="http://www.camacau.com/statistics_cargo">Traffic Statistics - Cargo</a></td></tr></tbody></table></td></tr>
- </tbody></table>
- </td>
- </tr>
- <tr><td><img width="20" height="15" src="./macau_files/double.gif"></td><td><a href="http://www.camacau.com/operational_routes">Operational Routes</a></td></tr>
-
- <!--<tr><td><img width="20" height="15" src="images/double.gif"/></td><td><a href="route_development">Member Registration</a></td></tr>
-
- --><!--<tr><td><img width="20" height="15" src="images/double.gif"/></td><td><a href="cargo_arrival">Cargo Flight Information</a></td></tr>-->
-
- <!--<tr><td><img width="20" height="15" src="images/double.gif"/></td><td><a href="/mvnforum/mvnforum/index">Forum</a></td></tr>-->
-
- </tbody></table>
-
-
- </div>
- </div>
-
-<div id="under">
- <div id="contextTitle">
- <h2 class="con">Traffic Statistics - Passengers</h2>
-
- </div>
- <div class="contextTitleAfter"></div>
- <div>
-
-
- <div id="context">
- <!--/*begin context*/-->
- <div class="Container">
- <div id="Scroller-1">
- <div class="Scroller-Container">
- <div id="statisticspassengers" style="width:550px;">
-
-
- <span id="title">Traffic Statistics</span>
-
-
-
-
-
- <br><br><br>
- <span id="title">Passengers Figure(2008-2013) </span><br><br>
- <table class="style1">
- <tbody>
- <tr height="17">
- <th align="right"> </th>
-
- <th align="center">2013</th>
-
- <th align="center">2012</th>
-
- <th align="center">2011</th>
-
- <th align="center">2010</th>
-
- <th align="center">2009</th>
-
- <th align="center">2008</th>
-
- </tr>
- <tr height="17">
- <th align="right">January</th>
-
- <td align="center">
-
- 374,917
- </td>
-
- <td align="center">
-
- 362,379
- </td>
-
- <td align="center">
-
- 301,503
- </td>
-
- <td align="center">
-
- 358,902
- </td>
-
- <td align="center">
-
- 342,323
- </td>
-
- <td align="center">
-
- 420,574
- </td>
-
- </tr>
- <tr height="17">
- <th align="right">February</th>
-
- <td align="center">
-
- 393,152
- </td>
-
- <td align="center">
-
- 312,405
- </td>
-
- <td align="center">
-
- 301,259
- </td>
-
- <td align="center">
-
- 351,654
- </td>
-
- <td align="center">
-
- 297,755
- </td>
-
- <td align="center">
-
- 442,809
- </td>
-
- </tr>
- <tr height="17">
- <th align="right">March</th>
-
- <td align="center">
-
- 408,755
- </td>
-
- <td align="center">
-
- 334,000
- </td>
-
- <td align="center">
-
- 318,908
- </td>
-
- <td align="center">
-
- 360,365
- </td>
-
- <td align="center">
-
- 387,879
- </td>
-
- <td align="center">
-
- 468,540
- </td>
-
- </tr>
- <tr height="17">
- <th align="right">April</th>
-
- <td align="center">
-
- 408,860
- </td>
-
- <td align="center">
-
- 358,198
- </td>
-
- <td align="center">
-
- 339,060
- </td>
-
- <td align="center">
-
- 352,976
- </td>
-
- <td align="center">
-
- 400,553
- </td>
-
- <td align="center">
-
- 492,930
- </td>
-
- </tr>
- <tr height="17">
- <th align="right">May</th>
-
- <td align="center">
-
- 374,397
- </td>
-
- <td align="center">
-
- 329,218
- </td>
-
- <td align="center">
-
- 321,060
- </td>
-
- <td align="center">
-
- 330,407
- </td>
-
- <td align="center">
-
- 335,967
- </td>
-
- <td align="center">
-
- 465,045
- </td>
-
- </tr>
- <tr height="17">
- <th align="right">June</th>
-
- <td align="center">
-
- 401,995
- </td>
-
- <td align="center">
-
- 356,679
- </td>
-
- <td align="center">
-
- 343,006
- </td>
-
- <td align="center">
-
- 326,724
- </td>
-
- <td align="center">
-
- 296,748
- </td>
-
- <td align="center">
-
- 426,764
- </td>
-
- </tr>
- <tr height="17">
- <th align="right">July</th>
-
- <td align="center">
-
-
- </td>
-
- <td align="center">
-
- 423,081
- </td>
-
- <td align="center">
-
- 378,993
- </td>
-
- <td align="center">
-
- 356,580
- </td>
-
- <td align="center">
-
- 351,110
- </td>
-
- <td align="center">
-
- 439,425
- </td>
-
- </tr>
- <tr height="17">
- <th align="right">August</th>
-
- <td align="center">
-
-
- </td>
-
- <td align="center">
-
- 453,391
- </td>
-
- <td align="center">
-
- 395,883
- </td>
-
- <td align="center">
-
- 364,011
- </td>
-
- <td align="center">
-
- 404,076
- </td>
-
- <td align="center">
-
- 425,814
- </td>
-
- </tr>
- <tr height="17">
- <th align="right">September</th>
-
- <td align="center">
-
-
- </td>
-
- <td align="center">
-
- 384,887
- </td>
-
- <td align="center">
-
- 325,124
- </td>
-
- <td align="center">
-
- 308,940
- </td>
-
- <td align="center">
-
- 317,226
- </td>
-
- <td align="center">
-
- 379,898
- </td>
-
- </tr>
- <tr height="17">
- <th align="right">October</th>
-
- <td align="center">
-
-
- </td>
-
- <td align="center">
-
- 383,889
- </td>
-
- <td align="center">
-
- 333,102
- </td>
-
- <td align="center">
-
- 317,040
- </td>
-
- <td align="center">
-
- 355,935
- </td>
-
- <td align="center">
-
- 415,339
- </td>
-
- </tr>
- <tr height="17">
- <th align="right">November</th>
-
- <td align="center">
-
-
- </td>
-
- <td align="center">
-
- 379,065
- </td>
-
- <td align="center">
-
- 327,803
- </td>
-
- <td align="center">
-
- 303,186
- </td>
-
- <td align="center">
-
- 372,104
- </td>
-
- <td align="center">
-
- 366,411
- </td>
-
- </tr>
- <tr height="17">
- <th align="right">December</th>
-
- <td align="center">
-
-
- </td>
-
- <td align="center">
-
- 413,873
- </td>
-
- <td align="center">
-
- 359,313
- </td>
-
- <td align="center">
-
- 348,051
- </td>
-
- <td align="center">
-
- 388,573
- </td>
-
- <td align="center">
-
- 354,253
- </td>
-
- </tr>
- <tr height="17">
- <th align="right">Total</th>
-
- <td align="center">
-
- 2,362,076
- </td>
-
- <td align="center">
-
- 4,491,065
- </td>
-
- <td align="center">
-
- 4,045,014
- </td>
-
- <td align="center">
-
- 4,078,836
- </td>
-
- <td align="center">
-
- 4,250,249
- </td>
-
- <td align="center">
-
- 5,097,802
- </td>
-
- </tr>
- </tbody>
- </table>
-
- <br><br><br>
- <span id="title">Passengers Figure(2002-2007) </span><br><br>
- <table class="style1">
- <tbody>
- <tr height="17">
- <th align="right"> </th>
-
- <th align="center">2007</th>
-
- <th align="center">2006</th>
-
- <th align="center">2005</th>
-
- <th align="center">2004</th>
-
- <th align="center">2003</th>
-
- <th align="center">2002</th>
-
- </tr>
- <tr height="17">
- <th align="right">January</th>
-
- <td align="center">
-
- 381,887
- </td>
-
- <td align="center">
-
- 323,282
- </td>
-
- <td align="center">
-
- 289,701
- </td>
-
- <td align="center">
-
- 288,507
- </td>
-
- <td align="center">
-
- 290,140
- </td>
-
- <td align="center">
-
- 268,783
- </td>
-
- </tr>
- <tr height="17">
- <th align="right">February</th>
-
- <td align="center">
-
- 426,014
- </td>
-
- <td align="center">
-
- 360,820
- </td>
-
- <td align="center">
-
- 348,723
- </td>
-
- <td align="center">
-
- 207,710
- </td>
-
- <td align="center">
-
- 323,264
- </td>
-
- <td align="center">
-
- 323,654
- </td>
-
- </tr>
- <tr height="17">
- <th align="right">March</th>
-
- <td align="center">
-
- 443,805
- </td>
-
- <td align="center">
-
- 389,125
- </td>
-
- <td align="center">
-
- 321,953
- </td>
-
- <td align="center">
-
- 273,910
- </td>
-
- <td align="center">
-
- 295,052
- </td>
-
- <td align="center">
-
- 360,668
- </td>
-
- </tr>
- <tr height="17">
- <th align="right">April</th>
-
- <td align="center">
-
- 500,917
- </td>
-
- <td align="center">
-
- 431,550
- </td>
-
- <td align="center">
-
- 367,976
- </td>
-
- <td align="center">
-
- 324,931
- </td>
-
- <td align="center">
-
- 144,082
- </td>
-
- <td align="center">
-
- 380,648
- </td>
-
- </tr>
- <tr height="17">
- <th align="right">May</th>
-
- <td align="center">
-
- 468,637
- </td>
-
- <td align="center">
-
- 399,743
- </td>
-
- <td align="center">
-
- 359,298
- </td>
-
- <td align="center">
-
- 250,601
- </td>
-
- <td align="center">
-
- 47,333
- </td>
-
- <td align="center">
-
- 359,547
- </td>
-
- </tr>
- <tr height="17">
- <th align="right">June</th>
-
- <td align="center">
-
- 463,676
- </td>
-
- <td align="center">
-
- 393,713
- </td>
-
- <td align="center">
-
- 360,147
- </td>
-
- <td align="center">
-
- 296,000
- </td>
-
- <td align="center">
-
- 94,294
- </td>
-
- <td align="center">
-
- 326,508
- </td>
-
- </tr>
- <tr height="17">
- <th align="right">July</th>
-
- <td align="center">
-
- 490,404
- </td>
-
- <td align="center">
-
- 465,497
- </td>
-
- <td align="center">
-
- 413,131
- </td>
-
- <td align="center">
-
- 365,454
- </td>
-
- <td align="center">
-
- 272,784
- </td>
-
- <td align="center">
-
- 388,061
- </td>
-
- </tr>
- <tr height="17">
- <th align="right">August</th>
-
- <td align="center">
-
- 490,830
- </td>
-
- <td align="center">
-
- 478,474
- </td>
-
- <td align="center">
-
- 409,281
- </td>
-
- <td align="center">
-
- 372,802
- </td>
-
- <td align="center">
-
- 333,840
- </td>
-
- <td align="center">
-
- 384,719
- </td>
-
- </tr>
- <tr height="17">
- <th align="right">September</th>
-
- <td align="center">
-
- 446,594
- </td>
-
- <td align="center">
-
- 412,444
- </td>
-
- <td align="center">
-
- 354,751
- </td>
-
- <td align="center">
-
- 321,456
- </td>
-
- <td align="center">
-
- 295,447
- </td>
-
- <td align="center">
-
- 334,029
- </td>
-
- </tr>
- <tr height="17">
- <th align="right">October</th>
-
- <td align="center">
-
- 465,757
- </td>
-
- <td align="center">
-
- 461,215
- </td>
-
- <td align="center">
-
- 390,435
- </td>
-
- <td align="center">
-
- 358,362
- </td>
-
- <td align="center">
-
- 291,193
- </td>
-
- <td align="center">
-
- 372,706
- </td>
-
- </tr>
- <tr height="17">
- <th align="right">November</th>
-
- <td align="center">
-
- 455,132
- </td>
-
- <td align="center">
-
- 425,116
- </td>
-
- <td align="center">
-
- 323,347
- </td>
-
- <td align="center">
-
- 327,593
- </td>
-
- <td align="center">
-
- 268,282
- </td>
-
- <td align="center">
-
- 350,324
- </td>
-
- </tr>
- <tr height="17">
- <th align="right">December</th>
-
- <td align="center">
-
- 465,225
- </td>
-
- <td align="center">
-
- 435,114
- </td>
-
- <td align="center">
-
- 308,999
- </td>
-
- <td align="center">
-
- 326,933
- </td>
-
- <td align="center">
-
- 249,855
- </td>
-
- <td align="center">
-
- 322,056
- </td>
-
- </tr>
- <tr height="17">
- <th align="right">Total</th>
-
- <td align="center">
-
- 5,498,878
- </td>
-
- <td align="center">
-
- 4,976,093
- </td>
-
- <td align="center">
-
- 4,247,742
- </td>
-
- <td align="center">
-
- 3,714,259
- </td>
-
- <td align="center">
-
- 2,905,566
- </td>
-
- <td align="center">
-
- 4,171,703
- </td>
-
- </tr>
- </tbody>
- </table>
-
- <br><br><br>
- <span id="title">Passengers Figure(1996-2001) </span><br><br>
- <table class="style1">
- <tbody>
- <tr height="17">
- <th align="right"> </th>
-
- <th align="center">2001</th>
-
- <th align="center">2000</th>
-
- <th align="center">1999</th>
-
- <th align="center">1998</th>
-
- <th align="center">1997</th>
-
- <th align="center">1996</th>
-
- </tr>
- <tr height="17">
- <th align="right">January</th>
-
- <td align="center">
-
- 265,603
- </td>
-
- <td align="center">
-
- 184,381
- </td>
-
- <td align="center">
-
- 161,264
- </td>
-
- <td align="center">
-
- 161,432
- </td>
-
- <td align="center">
-
- 117,984
- </td>
-
- <td align="center">
-
-
- </td>
-
- </tr>
- <tr height="17">
- <th align="right">February</th>
-
- <td align="center">
-
- 249,259
- </td>
-
- <td align="center">
-
- 264,066
- </td>
-
- <td align="center">
-
- 209,569
- </td>
-
- <td align="center">
-
- 168,777
- </td>
-
- <td align="center">
-
- 150,772
- </td>
-
- <td align="center">
-
-
- </td>
-
- </tr>
- <tr height="17">
- <th align="right">March</th>
-
- <td align="center">
-
- 312,319
- </td>
-
- <td align="center">
-
- 226,483
- </td>
-
- <td align="center">
-
- 186,965
- </td>
-
- <td align="center">
-
- 172,060
- </td>
-
- <td align="center">
-
- 149,795
- </td>
-
- <td align="center">
-
-
- </td>
-
- </tr>
- <tr height="17">
- <th align="right">April</th>
-
- <td align="center">
-
- 351,793
- </td>
-
- <td align="center">
-
- 296,541
- </td>
-
- <td align="center">
-
- 237,449
- </td>
-
- <td align="center">
-
- 180,241
- </td>
-
- <td align="center">
-
- 179,049
- </td>
-
- <td align="center">
-
-
- </td>
-
- </tr>
- <tr height="17">
- <th align="right">May</th>
-
- <td align="center">
-
- 338,692
- </td>
-
- <td align="center">
-
- 288,949
- </td>
-
- <td align="center">
-
- 230,691
- </td>
-
- <td align="center">
-
- 172,391
- </td>
-
- <td align="center">
-
- 189,925
- </td>
-
- <td align="center">
-
-
- </td>
-
- </tr>
- <tr height="17">
- <th align="right">June</th>
-
- <td align="center">
-
- 332,630
- </td>
-
- <td align="center">
-
- 271,181
- </td>
-
- <td align="center">
-
- 231,328
- </td>
-
- <td align="center">
-
- 157,519
- </td>
-
- <td align="center">
-
- 175,402
- </td>
-
- <td align="center">
-
-
- </td>
-
- </tr>
- <tr height="17">
- <th align="right">July</th>
-
- <td align="center">
-
- 344,658
- </td>
-
- <td align="center">
-
- 304,276
- </td>
-
- <td align="center">
-
- 243,534
- </td>
-
- <td align="center">
-
- 205,595
- </td>
-
- <td align="center">
-
- 173,103
- </td>
-
- <td align="center">
-
-
- </td>
-
- </tr>
- <tr height="17">
- <th align="right">August</th>
-
- <td align="center">
-
- 360,899
- </td>
-
- <td align="center">
-
- 300,418
- </td>
-
- <td align="center">
-
- 257,616
- </td>
-
- <td align="center">
-
- 241,140
- </td>
-
- <td align="center">
-
- 178,118
- </td>
-
- <td align="center">
-
-
- </td>
-
- </tr>
- <tr height="17">
- <th align="right">September</th>
-
- <td align="center">
-
- 291,817
- </td>
-
- <td align="center">
-
- 280,803
- </td>
-
- <td align="center">
-
- 210,885
- </td>
-
- <td align="center">
-
- 183,954
- </td>
-
- <td align="center">
-
- 163,385
- </td>
-
- <td align="center">
-
-
- </td>
-
- </tr>
- <tr height="17">
- <th align="right">October</th>
-
- <td align="center">
-
- 327,232
- </td>
-
- <td align="center">
-
- 298,873
- </td>
-
- <td align="center">
-
- 231,251
- </td>
-
- <td align="center">
-
- 205,726
- </td>
-
- <td align="center">
-
- 176,879
- </td>
-
- <td align="center">
-
-
- </td>
-
- </tr>
- <tr height="17">
- <th align="right">November</th>
-
- <td align="center">
-
- 315,538
- </td>
-
- <td align="center">
-
- 265,528
- </td>
-
- <td align="center">
-
- 228,637
- </td>
-
- <td align="center">
-
- 181,677
- </td>
-
- <td align="center">
-
- 146,804
- </td>
-
- <td align="center">
-
-
- </td>
-
- </tr>
- <tr height="17">
- <th align="right">December</th>
-
- <td align="center">
-
- 314,866
- </td>
-
- <td align="center">
-
- 257,929
- </td>
-
- <td align="center">
-
- 210,922
- </td>
-
- <td align="center">
-
- 183,975
- </td>
-
- <td align="center">
-
- 151,362
- </td>
-
- <td align="center">
-
-
- </td>
-
- </tr>
- <tr height="17">
- <th align="right">Total</th>
-
- <td align="center">
-
- 3,805,306
- </td>
-
- <td align="center">
-
- 3,239,428
- </td>
-
- <td align="center">
-
- 2,640,111
- </td>
-
- <td align="center">
-
- 2,214,487
- </td>
-
- <td align="center">
-
- 1,952,578
- </td>
-
- <td align="center">
-
- 0
- </td>
-
- </tr>
- </tbody>
- </table>
-
- <br><br><br>
- <span id="title">Passengers Figure(1995-1995) </span><br><br>
- <table class="style1">
- <tbody>
- <tr height="17">
- <th align="right"> </th>
-
- <th align="center">1995</th>
-
- </tr>
- <tr height="17">
- <th align="right">January</th>
-
- <td align="center">
-
-
- </td>
-
- </tr>
- <tr height="17">
- <th align="right">February</th>
-
- <td align="center">
-
-
- </td>
-
- </tr>
- <tr height="17">
- <th align="right">March</th>
-
- <td align="center">
-
-
- </td>
-
- </tr>
- <tr height="17">
- <th align="right">April</th>
-
- <td align="center">
-
-
- </td>
-
- </tr>
- <tr height="17">
- <th align="right">May</th>
-
- <td align="center">
-
-
- </td>
-
- </tr>
- <tr height="17">
- <th align="right">June</th>
-
- <td align="center">
-
-
- </td>
-
- </tr>
- <tr height="17">
- <th align="right">July</th>
-
- <td align="center">
-
-
- </td>
-
- </tr>
- <tr height="17">
- <th align="right">August</th>
-
- <td align="center">
-
-
- </td>
-
- </tr>
- <tr height="17">
- <th align="right">September</th>
-
- <td align="center">
-
-
- </td>
-
- </tr>
- <tr height="17">
- <th align="right">October</th>
-
- <td align="center">
-
-
- </td>
-
- </tr>
- <tr height="17">
- <th align="right">November</th>
-
- <td align="center">
-
- 6,601
- </td>
-
- </tr>
- <tr height="17">
- <th align="right">December</th>
-
- <td align="center">
-
- 37,041
- </td>
-
- </tr>
- <tr height="17">
- <th align="right">Total</th>
-
- <td align="center">
-
- 43,642
- </td>
-
- </tr>
- </tbody>
- </table>
-
-
- <br><br><br>
- <div align="right"><img src="./macau_files/pass_stat.jpg" alt="passenger statistic picture" width="565" height="318"></div>
- <br><br><br>
-
-
- <!--statistics-movement -->
-
- <br><br><br>
- <span id="title">Movement Statistics(2008-2013) </span><br><br>
- <table class="style1">
- <tbody>
- <tr height="17">
- <th align="right"> </th>
-
- <th align="center">2013</th>
-
- <th align="center">2012</th>
-
- <th align="center">2011</th>
-
- <th align="center">2010</th>
-
- <th align="center">2009</th>
-
- <th align="center">2008</th>
-
- </tr>
- <tr height="17">
- <th align="right">January</th>
-
- <td align="center">
-
- 3,925
- </td>
-
- <td align="center">
-
- 3,463
- </td>
-
- <td align="center">
-
- 3,289
- </td>
-
- <td align="center">
-
- 3,184
- </td>
-
- <td align="center">
-
- 3,488
- </td>
-
- <td align="center">
-
- 4,568
- </td>
-
- </tr>
- <tr height="17">
- <th align="right">February</th>
-
- <td align="center">
-
- 3,632
- </td>
-
- <td align="center">
-
- 2,983
- </td>
-
- <td align="center">
-
- 2,902
- </td>
-
- <td align="center">
-
- 3,053
- </td>
-
- <td align="center">
-
- 3,347
- </td>
-
- <td align="center">
-
- 4,527
- </td>
-
- </tr>
- <tr height="17">
- <th align="right">March</th>
-
- <td align="center">
-
- 3,909
- </td>
-
- <td align="center">
-
- 3,166
- </td>
-
- <td align="center">
-
- 3,217
- </td>
-
- <td align="center">
-
- 3,175
- </td>
-
- <td align="center">
-
- 3,636
- </td>
-
- <td align="center">
-
- 4,594
- </td>
-
- </tr>
- <tr height="17">
- <th align="right">April</th>
-
- <td align="center">
-
- 3,903
- </td>
-
- <td align="center">
-
- 3,258
- </td>
-
- <td align="center">
-
- 3,146
- </td>
-
- <td align="center">
-
- 3,023
- </td>
-
- <td align="center">
-
- 3,709
- </td>
-
- <td align="center">
-
- 4,574
- </td>
-
- </tr>
- <tr height="17">
- <th align="right">May</th>
-
- <td align="center">
-
- 4,075
- </td>
-
- <td align="center">
-
- 3,234
- </td>
-
- <td align="center">
-
- 3,266
- </td>
-
- <td align="center">
-
- 3,033
- </td>
-
- <td align="center">
-
- 3,603
- </td>
-
- <td align="center">
-
- 4,511
- </td>
-
- </tr>
- <tr height="17">
- <th align="right">June</th>
-
- <td align="center">
-
- 4,038
- </td>
-
- <td align="center">
-
- 3,272
- </td>
-
- <td align="center">
-
- 3,316
- </td>
-
- <td align="center">
-
- 2,909
- </td>
-
- <td align="center">
-
- 3,057
- </td>
-
- <td align="center">
-
- 4,081
- </td>
-
- </tr>
- <tr height="17">
- <th align="right">July</th>
-
- <td align="center">
-
-
- </td>
-
- <td align="center">
-
- 3,661
- </td>
-
- <td align="center">
-
- 3,359
- </td>
-
- <td align="center">
-
- 3,062
- </td>
-
- <td align="center">
-
- 3,354
- </td>
-
- <td align="center">
-
- 4,215
- </td>
-
- </tr>
- <tr height="17">
- <th align="right">August</th>
-
- <td align="center">
-
-
- </td>
-
- <td align="center">
-
- 3,942
- </td>
-
- <td align="center">
-
- 3,417
- </td>
-
- <td align="center">
-
- 3,077
- </td>
-
- <td align="center">
-
- 3,395
- </td>
-
- <td align="center">
-
- 4,139
- </td>
-
- </tr>
- <tr height="17">
- <th align="right">September</th>
-
- <td align="center">
-
-
- </td>
-
- <td align="center">
-
- 3,703
- </td>
-
- <td align="center">
-
- 3,169
- </td>
-
- <td align="center">
-
- 3,095
- </td>
-
- <td align="center">
-
- 3,100
- </td>
-
- <td align="center">
-
- 3,752
- </td>
-
- </tr>
- <tr height="17">
- <th align="right">October</th>
-
- <td align="center">
-
-
- </td>
-
- <td align="center">
-
- 3,727
- </td>
-
- <td align="center">
-
- 3,469
- </td>
-
- <td align="center">
-
- 3,179
- </td>
-
- <td align="center">
-
- 3,375
- </td>
-
- <td align="center">
-
- 3,874
- </td>
-
- </tr>
- <tr height="17">
- <th align="right">November</th>
-
- <td align="center">
-
-
- </td>
-
- <td align="center">
-
- 3,722
- </td>
-
- <td align="center">
-
- 3,145
- </td>
-
- <td align="center">
-
- 3,159
- </td>
-
- <td align="center">
-
- 3,213
- </td>
-
- <td align="center">
-
- 3,567
- </td>
-
- </tr>
- <tr height="17">
- <th align="right">December</th>
-
- <td align="center">
-
-
- </td>
-
- <td align="center">
-
- 3,866
- </td>
-
- <td align="center">
-
- 3,251
- </td>
-
- <td align="center">
-
- 3,199
- </td>
-
- <td align="center">
-
- 3,324
- </td>
-
- <td align="center">
-
- 3,362
- </td>
-
- </tr>
- <tr height="17">
- <th align="right">Total</th>
-
- <td align="center">
-
- 23,482
- </td>
-
- <td align="center">
-
- 41,997
- </td>
-
- <td align="center">
-
- 38,946
- </td>
-
- <td align="center">
-
- 37,148
- </td>
-
- <td align="center">
-
- 40,601
- </td>
-
- <td align="center">
-
- 49,764
- </td>
-
- </tr>
- </tbody>
- </table>
-
- <br><br><br>
- <span id="title">Movement Statistics(2002-2007) </span><br><br>
- <table class="style1">
- <tbody>
- <tr height="17">
- <th align="right"> </th>
-
- <th align="center">2007</th>
-
- <th align="center">2006</th>
-
- <th align="center">2005</th>
-
- <th align="center">2004</th>
-
- <th align="center">2003</th>
-
- <th align="center">2002</th>
-
- </tr>
- <tr height="17">
- <th align="right">January</th>
-
- <td align="center">
-
- 4,384
- </td>
-
- <td align="center">
-
- 3,933
- </td>
-
- <td align="center">
-
- 3,528
- </td>
-
- <td align="center">
-
- 3,051
- </td>
-
- <td align="center">
-
- 3,257
- </td>
-
- <td align="center">
-
- 2,711
- </td>
-
- </tr>
- <tr height="17">
- <th align="right">February</th>
-
- <td align="center">
-
- 4,131
- </td>
-
- <td align="center">
-
- 3,667
- </td>
-
- <td align="center">
-
- 3,331
- </td>
-
- <td align="center">
-
- 2,372
- </td>
-
- <td align="center">
-
- 3,003
- </td>
-
- <td align="center">
-
- 2,747
- </td>
-
- </tr>
- <tr height="17">
- <th align="right">March</th>
-
- <td align="center">
-
- 4,349
- </td>
-
- <td align="center">
-
- 4,345
- </td>
-
- <td align="center">
-
- 3,549
- </td>
-
- <td align="center">
-
- 3,049
- </td>
-
- <td align="center">
-
- 3,109
- </td>
-
- <td align="center">
-
- 2,985
- </td>
-
- </tr>
- <tr height="17">
- <th align="right">April</th>
-
- <td align="center">
-
- 4,460
- </td>
-
- <td align="center">
-
- 4,490
- </td>
-
- <td align="center">
-
- 3,832
- </td>
-
- <td align="center">
-
- 3,359
- </td>
-
- <td align="center">
-
- 2,033
- </td>
-
- <td align="center">
-
- 2,928
- </td>
-
- </tr>
- <tr height="17">
- <th align="right">May</th>
-
- <td align="center">
-
- 4,629
- </td>
-
- <td align="center">
-
- 4,245
- </td>
-
- <td align="center">
-
- 3,663
- </td>
-
- <td align="center">
-
- 3,251
- </td>
-
- <td align="center">
-
- 1,229
- </td>
-
- <td align="center">
-
- 3,109
- </td>
-
- </tr>
- <tr height="17">
- <th align="right">June</th>
-
- <td align="center">
-
- 4,365
- </td>
-
- <td align="center">
-
- 4,124
- </td>
-
- <td align="center">
-
- 3,752
- </td>
-
- <td align="center">
-
- 3,414
- </td>
-
- <td align="center">
-
- 1,217
- </td>
-
- <td align="center">
-
- 3,049
- </td>
-
- </tr>
- <tr height="17">
- <th align="right">July</th>
-
- <td align="center">
-
- 4,612
- </td>
-
- <td align="center">
-
- 4,386
- </td>
-
- <td align="center">
-
- 3,876
- </td>
-
- <td align="center">
-
- 3,664
- </td>
-
- <td align="center">
-
- 2,423
- </td>
-
- <td align="center">
-
- 3,078
- </td>
-
- </tr>
- <tr height="17">
- <th align="right">August</th>
-
- <td align="center">
-
- 4,446
- </td>
-
- <td align="center">
-
- 4,373
- </td>
-
- <td align="center">
-
- 3,987
- </td>
-
- <td align="center">
-
- 3,631
- </td>
-
- <td align="center">
-
- 3,040
- </td>
-
- <td align="center">
-
- 3,166
- </td>
-
- </tr>
- <tr height="17">
- <th align="right">September</th>
-
- <td align="center">
-
- 4,414
- </td>
-
- <td align="center">
-
- 4,311
- </td>
-
- <td align="center">
-
- 3,782
- </td>
-
- <td align="center">
-
- 3,514
- </td>
-
- <td align="center">
-
- 2,809
- </td>
-
- <td align="center">
-
- 3,239
- </td>
-
- </tr>
- <tr height="17">
- <th align="right">October</th>
-
- <td align="center">
-
- 4,445
- </td>
-
- <td align="center">
-
- 4,455
- </td>
-
- <td align="center">
-
- 3,898
- </td>
-
- <td align="center">
-
- 3,744
- </td>
-
- <td align="center">
-
- 3,052
- </td>
-
- <td align="center">
-
- 3,562
- </td>
-
- </tr>
- <tr height="17">
- <th align="right">November</th>
-
- <td align="center">
-
- 4,563
- </td>
-
- <td align="center">
-
- 4,285
- </td>
-
- <td align="center">
-
- 3,951
- </td>
-
- <td align="center">
-
- 3,694
- </td>
-
- <td align="center">
-
- 3,125
- </td>
-
- <td align="center">
-
- 3,546
- </td>
-
- </tr>
- <tr height="17">
- <th align="right">December</th>
-
- <td align="center">
-
- 4,588
- </td>
-
- <td align="center">
-
- 4,435
- </td>
-
- <td align="center">
-
- 3,855
- </td>
-
- <td align="center">
-
- 3,763
- </td>
-
- <td align="center">
-
- 2,996
- </td>
-
- <td align="center">
-
- 3,444
- </td>
-
- </tr>
- <tr height="17">
- <th align="right">Total</th>
-
- <td align="center">
-
- 53,386
- </td>
-
- <td align="center">
-
- 51,049
- </td>
-
- <td align="center">
-
- 45,004
- </td>
-
- <td align="center">
-
- 40,506
- </td>
-
- <td align="center">
-
- 31,293
- </td>
-
- <td align="center">
-
- 37,564
- </td>
-
- </tr>
- </tbody>
- </table>
-
- <br><br><br>
- <span id="title">Movement Statistics(1996-2001) </span><br><br>
- <table class="style1">
- <tbody>
- <tr height="17">
- <th align="right"> </th>
-
- <th align="center">2001</th>
-
- <th align="center">2000</th>
-
- <th align="center">1999</th>
-
- <th align="center">1998</th>
-
- <th align="center">1997</th>
-
- <th align="center">1996</th>
-
- </tr>
- <tr height="17">
- <th align="right">January</th>
-
- <td align="center">
-
- 2,694
- </td>
-
- <td align="center">
-
- 2,201
- </td>
-
- <td align="center">
-
- 1,835
- </td>
-
- <td align="center">
-
- 2,177
- </td>
-
- <td align="center">
-
- 1,353
- </td>
-
- <td align="center">
-
- 744
- </td>
-
- </tr>
- <tr height="17">
- <th align="right">February</th>
-
- <td align="center">
-
- 2,364
- </td>
-
- <td align="center">
-
- 2,357
- </td>
-
- <td align="center">
-
- 1,826
- </td>
-
- <td align="center">
-
- 1,740
- </td>
-
- <td align="center">
-
- 1,339
- </td>
-
- <td align="center">
-
- 692
- </td>
-
- </tr>
- <tr height="17">
- <th align="right">March</th>
-
- <td align="center">
-
- 2,543
- </td>
-
- <td align="center">
-
- 2,206
- </td>
-
- <td align="center">
-
- 1,895
- </td>
-
- <td align="center">
-
- 1,911
- </td>
-
- <td align="center">
-
- 1,533
- </td>
-
- <td align="center">
-
- 872
- </td>
-
- </tr>
- <tr height="17">
- <th align="right">April</th>
-
- <td align="center">
-
- 2,531
- </td>
-
- <td align="center">
-
- 2,311
- </td>
-
- <td align="center">
-
- 2,076
- </td>
-
- <td align="center">
-
- 1,886
- </td>
-
- <td align="center">
-
- 1,587
- </td>
-
- <td align="center">
-
- 1,026
- </td>
-
- </tr>
- <tr height="17">
- <th align="right">May</th>
-
- <td align="center">
-
- 2,579
- </td>
-
- <td align="center">
-
- 2,383
- </td>
-
- <td align="center">
-
- 1,914
- </td>
-
- <td align="center">
-
- 2,102
- </td>
-
- <td align="center">
-
- 1,720
- </td>
-
- <td align="center">
-
- 1,115
- </td>
-
- </tr>
- <tr height="17">
- <th align="right">June</th>
-
- <td align="center">
-
- 2,681
- </td>
-
- <td align="center">
-
- 2,370
- </td>
-
- <td align="center">
-
- 1,890
- </td>
-
- <td align="center">
-
- 2,038
- </td>
-
- <td align="center">
-
- 1,716
- </td>
-
- <td align="center">
-
- 1,037
- </td>
-
- </tr>
- <tr height="17">
- <th align="right">July</th>
-
- <td align="center">
-
- 2,903
- </td>
-
- <td align="center">
-
- 2,609
- </td>
-
- <td align="center">
-
- 1,916
- </td>
-
- <td align="center">
-
- 2,078
- </td>
-
- <td align="center">
-
- 1,693
- </td>
-
- <td align="center">
-
- 1,209
- </td>
-
- </tr>
- <tr height="17">
- <th align="right">August</th>
-
- <td align="center">
-
- 3,037
- </td>
-
- <td align="center">
-
- 2,487
- </td>
-
- <td align="center">
-
- 1,968
- </td>
-
- <td align="center">
-
- 2,061
- </td>
-
- <td align="center">
-
- 1,676
- </td>
-
- <td align="center">
-
- 1,241
- </td>
-
- </tr>
- <tr height="17">
- <th align="right">September</th>
-
- <td align="center">
-
- 2,767
- </td>
-
- <td align="center">
-
- 2,329
- </td>
-
- <td align="center">
-
- 1,955
- </td>
-
- <td align="center">
-
- 1,970
- </td>
-
- <td align="center">
-
- 1,681
- </td>
-
- <td align="center">
-
- 1,263
- </td>
-
- </tr>
- <tr height="17">
- <th align="right">October</th>
-
- <td align="center">
-
- 2,922
- </td>
-
- <td align="center">
-
- 2,417
- </td>
-
- <td align="center">
-
- 2,267
- </td>
-
- <td align="center">
-
- 1,969
- </td>
-
- <td align="center">
-
- 1,809
- </td>
-
- <td align="center">
-
- 1,368
- </td>
-
- </tr>
- <tr height="17">
- <th align="right">November</th>
-
- <td align="center">
-
- 2,670
- </td>
-
- <td align="center">
-
- 2,273
- </td>
-
- <td align="center">
-
- 2,132
- </td>
-
- <td align="center">
-
- 2,102
- </td>
-
- <td align="center">
-
- 1,786
- </td>
-
- <td align="center">
-
- 1,433
- </td>
-
- </tr>
- <tr height="17">
- <th align="right">December</th>
-
- <td align="center">
-
- 2,815
- </td>
-
- <td align="center">
-
- 2,749
- </td>
-
- <td align="center">
-
- 2,187
- </td>
-
- <td align="center">
-
- 1,981
- </td>
-
- <td align="center">
-
- 1,944
- </td>
-
- <td align="center">
-
- 1,386
- </td>
-
- </tr>
- <tr height="17">
- <th align="right">Total</th>
-
- <td align="center">
-
- 32,506
- </td>
-
- <td align="center">
-
- 28,692
- </td>
-
- <td align="center">
-
- 23,861
- </td>
-
- <td align="center">
-
- 24,015
- </td>
-
- <td align="center">
-
- 19,837
- </td>
-
- <td align="center">
-
- 13,386
- </td>
-
- </tr>
- </tbody>
- </table>
-
- <br><br><br>
- <span id="title">Movement Statistics(1995-1995) </span><br><br>
- <table class="style1">
- <tbody>
- <tr height="17">
- <th align="right"> </th>
-
- <th align="center">1995</th>
-
- </tr>
- <tr height="17">
- <th align="right">January</th>
-
- <td align="center">
-
-
- </td>
-
- </tr>
- <tr height="17">
- <th align="right">February</th>
-
- <td align="center">
-
-
- </td>
-
- </tr>
- <tr height="17">
- <th align="right">March</th>
-
- <td align="center">
-
-
- </td>
-
- </tr>
- <tr height="17">
- <th align="right">April</th>
-
- <td align="center">
-
-
- </td>
-
- </tr>
- <tr height="17">
- <th align="right">May</th>
-
- <td align="center">
-
-
- </td>
-
- </tr>
- <tr height="17">
- <th align="right">June</th>
-
- <td align="center">
-
-
- </td>
-
- </tr>
- <tr height="17">
- <th align="right">July</th>
-
- <td align="center">
-
-
- </td>
-
- </tr>
- <tr height="17">
- <th align="right">August</th>
-
- <td align="center">
-
-
- </td>
-
- </tr>
- <tr height="17">
- <th align="right">September</th>
-
- <td align="center">
-
-
- </td>
-
- </tr>
- <tr height="17">
- <th align="right">October</th>
-
- <td align="center">
-
-
- </td>
-
- </tr>
- <tr height="17">
- <th align="right">November</th>
-
- <td align="center">
-
- 126
- </td>
-
- </tr>
- <tr height="17">
- <th align="right">December</th>
-
- <td align="center">
-
- 536
- </td>
-
- </tr>
- <tr height="17">
- <th align="right">Total</th>
-
- <td align="center">
-
- 662
- </td>
-
- </tr>
- </tbody>
- </table>
-
-
- <br><br><br>
- <div align="right"><img src="./macau_files/mov_stat.jpg" alt="passenger statistic picture" width="565" height="318"></div>
-
-
- </div>
-
- </div>
- </div>
- </div>
-
-
- <!--/*end context*/-->
- </div>
- </div>
-
- <div id="buttombar"><img height="100" src="./macau_files/buttombar.gif"></div>
- <div id="logo">
-
-
-
- <div>
-
- <a href="http://www.macau-airport.com/envirop/zh/default.php" style="display: inline;"><img height="80" src="./macau_files/38.jpg"></a>
-
- </div>
-
-
- <div>
-
- <a href="http://www.macau-airport.com/envirop/en/default.php" style="display: inline;"><img height="80" src="./macau_files/36.jpg"></a>
-
- </div>
-
-</div>
-</div>
-
-
-
-</div>
-
-
-<div id="footer">
-<hr>
- <div id="footer-left">
- <a href="http://www.camacau.com/index">Main Page</a> |
- <a href="http://www.camacau.com/geographic_information">Our Business</a> |
- <a href="http://www.camacau.com/about_us">About Us</a> |
- <a href="http://www.camacau.com/pressReleases_list">Media Centre</a> |
- <a href="http://www.camacau.com/rlinks2">Related Links</a> |
- <a href="http://www.camacau.com/download_list">Interactive</a>
- </div>
- <div id="footer-right">Macau International Airport Co. Ltd. | Copyright 2013 | All rights reserved</div>
-</div>
-</div>
-</div>
-
-<div id="___fireplug_chrome_extension___" style="display: none;"></div><iframe id="rdbIndicator" width="100%" height="270" border="0" src="./macau_files/indicator.html" style="display: none; border: 0; position: fixed; left: 0; top: 0; z-index: 2147483647"></iframe><link rel="stylesheet" type="text/css" media="screen" href="chrome-extension://fcdjadjbdihbaodagojiomdljhjhjfho/css/atd.css"></body></html>
\ No newline at end of file
diff --git a/pandas/tests/io/data/html/nyse_wsj.html b/pandas/tests/io/data/html/nyse_wsj.html
deleted file mode 100644
index 2360bd49e9950..0000000000000
--- a/pandas/tests/io/data/html/nyse_wsj.html
+++ /dev/null
@@ -1,1207 +0,0 @@
-<table border="0" cellpadding="0" cellspacing="0" class="autocompleteContainer">
- <tbody>
- <tr>
- <td>
- <div class="symbolCompleteContainer">
- <div><input autocomplete="off" maxlength="80" name="KEYWORDS" type="text" value=""/></div>
- </div>
- <div class="hat_button">
- <span class="hat_button_text">SEARCH</span>
- </div>
- <div style="clear: both;"><div class="subSymbolCompleteResults"></div></div>
- </td>
- </tr>
- </tbody>
-</table>
-<table bgcolor="" border="0" cellpadding="0" cellspacing="0" width="100%"><tbody><tr>
- <td height="0"><img alt="" border="0" height="0" src="null/img/b.gif" width="1"/></td>
-</tr></tbody></table>
-<table border="0" cellpadding="0" cellspacing="0" class="mdcTable" width="100%">
- <tbody><tr>
- <td class="colhead" style="text-align:left"> </td>
- <td class="colhead" style="text-align:left">Issue<span class="textb10gray" style="margin-left: 8px;">(Roll over for charts and headlines)</span>
- </td>
- <td class="colhead">Volume</td>
- <td class="colhead">Price</td>
- <td class="colhead" style="width:35px;">Chg</td>
- <td class="colhead">% Chg</td>
- </tr>
- <tr>
- <td class="num">1</td>
- <td class="text" style="max-width:307px">
- <a class="linkb" href="/public/quotes/main.html?symbol=JCP" onmouseout="com.dowjones.rolloverQuotes.hidelater();" onmouseover="com.dowjones.rolloverQuotes.show(this,'JCP')">J.C. Penney (JCP)
- </a>
- </td>
- <td align="right" class="num" style="font-weight:bold;">250,697,455</td>
- <td class="nnum">$9.05</td>
- <td class="nnum">-1.37</td>
- <td class="nnum" style="border-right:0px">-13.15</td>
- </tr>
- <tr>
- <td class="num">2</td>
- <td class="text" style="max-width:307px">
- <a class="linkb" href="/public/quotes/main.html?symbol=BAC" onmouseout="com.dowjones.rolloverQuotes.hidelater();" onmouseover="com.dowjones.rolloverQuotes.show(this,'BAC')">Bank of America (BAC)
- </a>
- </td>
- <td align="right" class="num" style="font-weight:bold;">77,162,103</td>
- <td class="nnum">13.90</td>
- <td class="nnum">-0.18</td>
- <td class="nnum" style="border-right:0px">-1.28</td>
- </tr>
- <tr>
- <td class="num">3</td>
- <td class="text" style="max-width:307px">
- <a class="linkb" href="/public/quotes/main.html?symbol=RAD" onmouseout="com.dowjones.rolloverQuotes.hidelater();" onmouseover="com.dowjones.rolloverQuotes.show(this,'RAD')">Rite Aid (RAD)
- </a>
- </td>
- <td align="right" class="num" style="font-weight:bold;">52,140,382</td>
- <td class="nnum">4.70</td>
- <td class="nnum">-0.08</td>
- <td class="nnum" style="border-right:0px">-1.67</td>
- </tr>
- <tr>
- <td class="num">4</td>
- <td class="text" style="max-width:307px">
- <a class="linkb" href="/public/quotes/main.html?symbol=F" onmouseout="com.dowjones.rolloverQuotes.hidelater();" onmouseover="com.dowjones.rolloverQuotes.show(this,'F')">Ford Motor (F)
- </a>
- </td>
- <td align="right" class="num" style="font-weight:bold;">33,745,287</td>
- <td class="nnum">17.05</td>
- <td class="nnum">-0.22</td>
- <td class="nnum" style="border-right:0px">-1.27</td>
- </tr>
- <tr>
- <td class="num">5</td>
- <td class="text" style="max-width:307px">
- <a class="linkb" href="/public/quotes/main.html?symbol=PFE" onmouseout="com.dowjones.rolloverQuotes.hidelater();" onmouseover="com.dowjones.rolloverQuotes.show(this,'PFE')">Pfizer (PFE)
- </a>
- </td>
- <td align="right" class="num" style="font-weight:bold;">27,801,853</td>
- <td class="pnum">28.88</td>
- <td class="pnum">0.36</td>
- <td class="pnum" style="border-right:0px">1.26</td>
- </tr>
- <tr>
- <td class="num">6</td>
- <td class="text" style="max-width:307px">
- <a class="linkb" href="/public/quotes/main.html?symbol=HTZ" onmouseout="com.dowjones.rolloverQuotes.hidelater();" onmouseover="com.dowjones.rolloverQuotes.show(this,'HTZ')">Hertz Global Hldgs (HTZ)
- </a>
- </td>
- <td align="right" class="num" style="font-weight:bold;">25,821,264</td>
- <td class="pnum">22.32</td>
- <td class="pnum">0.69</td>
- <td class="pnum" style="border-right:0px">3.19</td>
- </tr>
- <tr>
- <td class="num">7</td>
- <td class="text" style="max-width:307px">
- <a class="linkb" href="/public/quotes/main.html?symbol=GE" onmouseout="com.dowjones.rolloverQuotes.hidelater();" onmouseover="com.dowjones.rolloverQuotes.show(this,'GE')">General Electric (GE)
- </a>
- </td>
- <td align="right" class="num" style="font-weight:bold;">25,142,064</td>
- <td class="nnum">24.05</td>
- <td class="nnum">-0.20</td>
- <td class="nnum" style="border-right:0px">-0.82</td>
- </tr>
- <tr>
- <td class="num">8</td>
- <td class="text" style="max-width:307px">
- <a class="linkb" href="/public/quotes/main.html?symbol=ELN" onmouseout="com.dowjones.rolloverQuotes.hidelater();" onmouseover="com.dowjones.rolloverQuotes.show(this,'ELN')">Elan ADS (ELN)
- </a>
- </td>
- <td align="right" class="num" style="font-weight:bold;">24,725,209</td>
- <td class="pnum">15.59</td>
- <td class="pnum">0.08</td>
- <td class="pnum" style="border-right:0px">0.52</td>
- </tr>
- <tr>
- <td class="num">9</td>
- <td class="text" style="max-width:307px">
- <a class="linkb" href="/public/quotes/main.html?symbol=JPM" onmouseout="com.dowjones.rolloverQuotes.hidelater();" onmouseover="com.dowjones.rolloverQuotes.show(this,'JPM')">JPMorgan Chase (JPM)
- </a>
- </td>
- <td align="right" class="num" style="font-weight:bold;">22,402,756</td>
- <td class="pnum">52.24</td>
- <td class="pnum">0.35</td>
- <td class="pnum" style="border-right:0px">0.67</td>
- </tr>
- <tr>
- <td class="num">10</td>
- <td class="text" style="max-width:307px">
- <a class="linkb" href="/public/quotes/main.html?symbol=RF" onmouseout="com.dowjones.rolloverQuotes.hidelater();" onmouseover="com.dowjones.rolloverQuotes.show(this,'RF')">Regions Financial (RF)
- </a>
- </td>
- <td align="right" class="num" style="font-weight:bold;">20,790,532</td>
- <td class="pnum">9.30</td>
- <td class="pnum">0.12</td>
- <td class="pnum" style="border-right:0px">1.31</td>
- </tr>
- <tr>
- <td class="num">11</td>
- <td class="text" style="max-width:307px">
- <a class="linkb" href="/public/quotes/main.html?symbol=VMEM" onmouseout="com.dowjones.rolloverQuotes.hidelater();" onmouseover="com.dowjones.rolloverQuotes.show(this,'VMEM')">Violin Memory (VMEM)
- </a>
- </td>
- <td align="right" class="num" style="font-weight:bold;">20,669,846</td>
- <td class="nnum">7.02</td>
- <td class="nnum">-1.98</td>
- <td class="nnum" style="border-right:0px">-22.00</td>
- </tr>
- <tr>
- <td class="num">12</td>
- <td class="text" style="max-width:307px">
- <a class="linkb" href="/public/quotes/main.html?symbol=C" onmouseout="com.dowjones.rolloverQuotes.hidelater();" onmouseover="com.dowjones.rolloverQuotes.show(this,'C')">Citigroup (C)
- </a>
- </td>
- <td align="right" class="num" style="font-weight:bold;">19,979,932</td>
- <td class="nnum">48.89</td>
- <td class="nnum">-0.04</td>
- <td class="nnum" style="border-right:0px">-0.08</td>
- </tr>
- <tr>
- <td class="num">13</td>
- <td class="text" style="max-width:307px">
- <a class="linkb" href="/public/quotes/main.html?symbol=NOK" onmouseout="com.dowjones.rolloverQuotes.hidelater();" onmouseover="com.dowjones.rolloverQuotes.show(this,'NOK')">Nokia ADS (NOK)
- </a>
- </td>
- <td align="right" class="num" style="font-weight:bold;">19,585,075</td>
- <td class="pnum">6.66</td>
- <td class="pnum">0.02</td>
- <td class="pnum" style="border-right:0px">0.30</td>
- </tr>
- <tr>
- <td class="num">14</td>
- <td class="text" style="max-width:307px">
- <a class="linkb" href="/public/quotes/main.html?symbol=WFC" onmouseout="com.dowjones.rolloverQuotes.hidelater();" onmouseover="com.dowjones.rolloverQuotes.show(this,'WFC')">Wells Fargo (WFC)
- </a>
- </td>
- <td align="right" class="num" style="font-weight:bold;">19,478,590</td>
- <td class="nnum">41.59</td>
- <td class="nnum">-0.02</td>
- <td class="nnum" style="border-right:0px">-0.05</td>
- </tr>
- <tr>
- <td class="num">15</td>
- <td class="text" style="max-width:307px">
- <a class="linkb" href="/public/quotes/main.html?symbol=VALE" onmouseout="com.dowjones.rolloverQuotes.hidelater();" onmouseover="com.dowjones.rolloverQuotes.show(this,'VALE')">Vale ADS (VALE)
- </a>
- </td>
- <td align="right" class="num" style="font-weight:bold;">18,781,987</td>
- <td class="nnum">15.60</td>
- <td class="nnum">-0.52</td>
- <td class="nnum" style="border-right:0px">-3.23</td>
- </tr>
- <tr>
- <td class="num">16</td>
- <td class="text" style="max-width:307px">
- <a class="linkb" href="/public/quotes/main.html?symbol=DAL" onmouseout="com.dowjones.rolloverQuotes.hidelater();" onmouseover="com.dowjones.rolloverQuotes.show(this,'DAL')">Delta Air Lines (DAL)
- </a>
- </td>
- <td align="right" class="num" style="font-weight:bold;">16,013,956</td>
- <td class="nnum">23.57</td>
- <td class="nnum">-0.44</td>
- <td class="nnum" style="border-right:0px">-1.83</td>
- </tr>
- <tr>
- <td class="num">17</td>
- <td class="text" style="max-width:307px">
- <a class="linkb" href="/public/quotes/main.html?symbol=EMC" onmouseout="com.dowjones.rolloverQuotes.hidelater();" onmouseover="com.dowjones.rolloverQuotes.show(this,'EMC')">EMC (EMC)
- </a>
- </td>
- <td align="right" class="num" style="font-weight:bold;">15,771,252</td>
- <td class="nnum">26.07</td>
- <td class="nnum">-0.11</td>
- <td class="nnum" style="border-right:0px">-0.42</td>
- </tr>
- <tr>
- <td class="num">18</td>
- <td class="text" style="max-width:307px">
- <a class="linkb" href="/public/quotes/main.html?symbol=NKE" onmouseout="com.dowjones.rolloverQuotes.hidelater();" onmouseover="com.dowjones.rolloverQuotes.show(this,'NKE')">Nike Cl B (NKE)
- </a>
- </td>
- <td align="right" class="num" style="font-weight:bold;">15,514,717</td>
- <td class="pnum">73.64</td>
- <td class="pnum">3.30</td>
- <td class="pnum" style="border-right:0px">4.69</td>
- </tr>
- <tr>
- <td class="num">19</td>
- <td class="text" style="max-width:307px">
- <a class="linkb" href="/public/quotes/main.html?symbol=AA" onmouseout="com.dowjones.rolloverQuotes.hidelater();" onmouseover="com.dowjones.rolloverQuotes.show(this,'AA')">Alcoa (AA)
- </a>
- </td>
- <td align="right" class="num" style="font-weight:bold;">14,061,073</td>
- <td class="nnum">8.20</td>
- <td class="nnum">-0.07</td>
- <td class="nnum" style="border-right:0px">-0.85</td>
- </tr>
- <tr>
- <td class="num">20</td>
- <td class="text" style="max-width:307px">
- <a class="linkb" href="/public/quotes/main.html?symbol=GM" onmouseout="com.dowjones.rolloverQuotes.hidelater();" onmouseover="com.dowjones.rolloverQuotes.show(this,'GM')">General Motors (GM)
- </a>
- </td>
- <td align="right" class="num" style="font-weight:bold;">13,984,004</td>
- <td class="nnum">36.37</td>
- <td class="nnum">-0.58</td>
- <td class="nnum" style="border-right:0px">-1.57</td>
- </tr>
- <tr>
- <td class="num">21</td>
- <td class="text" style="max-width:307px">
- <a class="linkb" href="/public/quotes/main.html?symbol=ORCL" onmouseout="com.dowjones.rolloverQuotes.hidelater();" onmouseover="com.dowjones.rolloverQuotes.show(this,'ORCL')">Oracle (ORCL)
- </a>
- </td>
- <td align="right" class="num" style="font-weight:bold;">13,856,671</td>
- <td class="nnum">33.78</td>
- <td class="nnum">-0.03</td>
- <td class="nnum" style="border-right:0px">-0.09</td>
- </tr>
- <tr>
- <td class="num">22</td>
- <td class="text" style="max-width:307px">
- <a class="linkb" href="/public/quotes/main.html?symbol=T" onmouseout="com.dowjones.rolloverQuotes.hidelater();" onmouseover="com.dowjones.rolloverQuotes.show(this,'T')">AT&T (T)
- </a>
- </td>
- <td align="right" class="num" style="font-weight:bold;">13,736,948</td>
- <td class="nnum">33.98</td>
- <td class="nnum">-0.25</td>
- <td class="nnum" style="border-right:0px">-0.73</td>
- </tr>
- <tr>
- <td class="num">23</td>
- <td class="text" style="max-width:307px">
- <a class="linkb" href="/public/quotes/main.html?symbol=TSL" onmouseout="com.dowjones.rolloverQuotes.hidelater();" onmouseover="com.dowjones.rolloverQuotes.show(this,'TSL')">Trina Solar ADS (TSL)
- </a>
- </td>
- <td align="right" class="num" style="font-weight:bold;">13,284,202</td>
- <td class="pnum">14.83</td>
- <td class="pnum">1.99</td>
- <td class="pnum" style="border-right:0px">15.50</td>
- </tr>
- <tr>
- <td class="num">24</td>
- <td class="text" style="max-width:307px">
- <a class="linkb" href="/public/quotes/main.html?symbol=YGE" onmouseout="com.dowjones.rolloverQuotes.hidelater();" onmouseover="com.dowjones.rolloverQuotes.show(this,'YGE')">Yingli Green Energy Holding ADS (YGE)
- </a>
- </td>
- <td align="right" class="num" style="font-weight:bold;">12,978,378</td>
- <td class="pnum">6.73</td>
- <td class="pnum">0.63</td>
- <td class="pnum" style="border-right:0px">10.33</td>
- </tr>
- <tr>
- <td class="num">25</td>
- <td class="text" style="max-width:307px">
- <a class="linkb" href="/public/quotes/main.html?symbol=PBR" onmouseout="com.dowjones.rolloverQuotes.hidelater();" onmouseover="com.dowjones.rolloverQuotes.show(this,'PBR')">Petroleo Brasileiro ADS (PBR)
- </a>
- </td>
- <td align="right" class="num" style="font-weight:bold;">12,833,660</td>
- <td class="nnum">15.40</td>
- <td class="nnum">-0.21</td>
- <td class="nnum" style="border-right:0px">-1.35</td>
- </tr>
- <tr>
- <td class="num">26</td>
- <td class="text" style="max-width:307px">
- <a class="linkb" href="/public/quotes/main.html?symbol=UAL" onmouseout="com.dowjones.rolloverQuotes.hidelater();" onmouseover="com.dowjones.rolloverQuotes.show(this,'UAL')">United Continental Holdings (UAL)
- </a>
- </td>
- <td align="right" class="num" style="font-weight:bold;">12,603,225</td>
- <td class="nnum">30.91</td>
- <td class="nnum">-3.16</td>
- <td class="nnum" style="border-right:0px">-9.28</td>
- </tr>
- <tr>
- <td class="num">27</td>
- <td class="text" style="max-width:307px">
- <a class="linkb" href="/public/quotes/main.html?symbol=KO" onmouseout="com.dowjones.rolloverQuotes.hidelater();" onmouseover="com.dowjones.rolloverQuotes.show(this,'KO')">Coca-Cola (KO)
- </a>
- </td>
- <td align="right" class="num" style="font-weight:bold;">12,343,452</td>
- <td class="nnum">38.40</td>
- <td class="nnum">-0.34</td>
- <td class="nnum" style="border-right:0px">-0.88</td>
- </tr>
- <tr>
- <td class="num">28</td>
- <td class="text" style="max-width:307px">
- <a class="linkb" href="/public/quotes/main.html?symbol=ACI" onmouseout="com.dowjones.rolloverQuotes.hidelater();" onmouseover="com.dowjones.rolloverQuotes.show(this,'ACI')">Arch Coal (ACI)
- </a>
- </td>
- <td align="right" class="num" style="font-weight:bold;">12,261,138</td>
- <td class="nnum">4.25</td>
- <td class="nnum">-0.28</td>
- <td class="nnum" style="border-right:0px">-6.18</td>
- </tr>
- <tr>
- <td class="num">29</td>
- <td class="text" style="max-width:307px">
- <a class="linkb" href="/public/quotes/main.html?symbol=MS" onmouseout="com.dowjones.rolloverQuotes.hidelater();" onmouseover="com.dowjones.rolloverQuotes.show(this,'MS')">Morgan Stanley (MS)
- </a>
- </td>
- <td align="right" class="num" style="font-weight:bold;">11,956,345</td>
- <td class="nnum">27.08</td>
- <td class="nnum">-0.07</td>
- <td class="nnum" style="border-right:0px">-0.26</td>
- </tr>
- <tr>
- <td class="num">30</td>
- <td class="text" style="max-width:307px">
- <a class="linkb" href="/public/quotes/main.html?symbol=P" onmouseout="com.dowjones.rolloverQuotes.hidelater();" onmouseover="com.dowjones.rolloverQuotes.show(this,'P')">Pandora Media (P)
- </a>
- </td>
- <td align="right" class="num" style="font-weight:bold;">11,829,963</td>
- <td class="pnum">25.52</td>
- <td class="pnum">0.13</td>
- <td class="pnum" style="border-right:0px">0.51</td>
- </tr>
- <tr>
- <td class="num">31</td>
- <td class="text" style="max-width:307px">
- <a class="linkb" href="/public/quotes/main.html?symbol=ABX" onmouseout="com.dowjones.rolloverQuotes.hidelater();" onmouseover="com.dowjones.rolloverQuotes.show(this,'ABX')">Barrick Gold (ABX)
- </a>
- </td>
- <td align="right" class="num" style="font-weight:bold;">11,775,585</td>
- <td class="num">18.53</td>
- <td class="num">0.00</td>
- <td class="num" style="border-right:0px">0.00</td>
- </tr>
- <tr>
- <td class="num">32</td>
- <td class="text" style="max-width:307px">
- <a class="linkb" href="/public/quotes/main.html?symbol=ABT" onmouseout="com.dowjones.rolloverQuotes.hidelater();" onmouseover="com.dowjones.rolloverQuotes.show(this,'ABT')">Abbott Laboratories (ABT)
- </a>
- </td>
- <td align="right" class="num" style="font-weight:bold;">11,755,718</td>
- <td class="nnum">33.14</td>
- <td class="nnum">-0.52</td>
- <td class="nnum" style="border-right:0px">-1.54</td>
- </tr>
- <tr>
- <td class="num">33</td>
- <td class="text" style="max-width:307px">
- <a class="linkb" href="/public/quotes/main.html?symbol=BSBR" onmouseout="com.dowjones.rolloverQuotes.hidelater();" onmouseover="com.dowjones.rolloverQuotes.show(this,'BSBR')">Banco Santander Brasil ADS (BSBR)
- </a>
- </td>
- <td align="right" class="num" style="font-weight:bold;">11,587,310</td>
- <td class="pnum">7.01</td>
- <td class="pnum">0.46</td>
- <td class="pnum" style="border-right:0px">7.02</td>
- </tr>
- <tr>
- <td class="num">34</td>
- <td class="text" style="max-width:307px">
- <a class="linkb" href="/public/quotes/main.html?symbol=AMD" onmouseout="com.dowjones.rolloverQuotes.hidelater();" onmouseover="com.dowjones.rolloverQuotes.show(this,'AMD')">Advanced Micro Devices (AMD)
- </a>
- </td>
- <td align="right" class="num" style="font-weight:bold;">11,337,609</td>
- <td class="nnum">3.86</td>
- <td class="nnum">-0.03</td>
- <td class="nnum" style="border-right:0px">-0.77</td>
- </tr>
- <tr>
- <td class="num">35</td>
- <td class="text" style="max-width:307px">
- <a class="linkb" href="/public/quotes/main.html?symbol=NLY" onmouseout="com.dowjones.rolloverQuotes.hidelater();" onmouseover="com.dowjones.rolloverQuotes.show(this,'NLY')">Annaly Capital Management (NLY)
- </a>
- </td>
- <td align="right" class="num" style="font-weight:bold;">11,004,440</td>
- <td class="nnum">11.63</td>
- <td class="nnum">-0.07</td>
- <td class="nnum" style="border-right:0px">-0.60</td>
- </tr>
- <tr>
- <td class="num">36</td>
- <td class="text" style="max-width:307px">
- <a class="linkb" href="/public/quotes/main.html?symbol=ANR" onmouseout="com.dowjones.rolloverQuotes.hidelater();" onmouseover="com.dowjones.rolloverQuotes.show(this,'ANR')">Alpha Natural Resources (ANR)
- </a>
- </td>
- <td align="right" class="num" style="font-weight:bold;">10,941,074</td>
- <td class="nnum">6.08</td>
- <td class="nnum">-0.19</td>
- <td class="nnum" style="border-right:0px">-3.03</td>
- </tr>
- <tr>
- <td class="num">37</td>
- <td class="text" style="max-width:307px">
- <a class="linkb" href="/public/quotes/main.html?symbol=XOM" onmouseout="com.dowjones.rolloverQuotes.hidelater();" onmouseover="com.dowjones.rolloverQuotes.show(this,'XOM')">Exxon Mobil (XOM)
- </a>
- </td>
- <td align="right" class="num" style="font-weight:bold;">10,668,115</td>
- <td class="nnum">86.90</td>
- <td class="nnum">-0.17</td>
- <td class="nnum" style="border-right:0px">-0.20</td>
- </tr>
- <tr>
- <td class="num">38</td>
- <td class="text" style="max-width:307px">
- <a class="linkb" href="/public/quotes/main.html?symbol=ITUB" onmouseout="com.dowjones.rolloverQuotes.hidelater();" onmouseover="com.dowjones.rolloverQuotes.show(this,'ITUB')">Itau Unibanco Holding ADS (ITUB)
- </a>
- </td>
- <td align="right" class="num" style="font-weight:bold;">10,638,803</td>
- <td class="pnum">14.30</td>
- <td class="pnum">0.23</td>
- <td class="pnum" style="border-right:0px">1.63</td>
- </tr>
- <tr>
- <td class="num">39</td>
- <td class="text" style="max-width:307px">
- <a class="linkb" href="/public/quotes/main.html?symbol=MRK" onmouseout="com.dowjones.rolloverQuotes.hidelater();" onmouseover="com.dowjones.rolloverQuotes.show(this,'MRK')">Merck&Co (MRK)
- </a>
- </td>
- <td align="right" class="num" style="font-weight:bold;">10,388,152</td>
- <td class="pnum">47.79</td>
- <td class="pnum">0.11</td>
- <td class="pnum" style="border-right:0px">0.23</td>
- </tr>
- <tr>
- <td class="num">40</td>
- <td class="text" style="max-width:307px">
- <a class="linkb" href="/public/quotes/main.html?symbol=ALU" onmouseout="com.dowjones.rolloverQuotes.hidelater();" onmouseover="com.dowjones.rolloverQuotes.show(this,'ALU')">Alcatel-Lucent ADS (ALU)
- </a>
- </td>
- <td align="right" class="num" style="font-weight:bold;">10,181,833</td>
- <td class="pnum">3.65</td>
- <td class="pnum">0.01</td>
- <td class="pnum" style="border-right:0px">0.27</td>
- </tr>
- <tr>
- <td class="num">41</td>
- <td class="text" style="max-width:307px">
- <a class="linkb" href="/public/quotes/main.html?symbol=VZ" onmouseout="com.dowjones.rolloverQuotes.hidelater();" onmouseover="com.dowjones.rolloverQuotes.show(this,'VZ')">Verizon Communications (VZ)
- </a>
- </td>
- <td align="right" class="num" style="font-weight:bold;">10,139,321</td>
- <td class="nnum">47.00</td>
- <td class="nnum">-0.67</td>
- <td class="nnum" style="border-right:0px">-1.41</td>
- </tr>
- <tr>
- <td class="num">42</td>
- <td class="text" style="max-width:307px">
- <a class="linkb" href="/public/quotes/main.html?symbol=MHR" onmouseout="com.dowjones.rolloverQuotes.hidelater();" onmouseover="com.dowjones.rolloverQuotes.show(this,'MHR')">Magnum Hunter Resources (MHR)
- </a>
- </td>
- <td align="right" class="num" style="font-weight:bold;">10,004,303</td>
- <td class="pnum">6.33</td>
- <td class="pnum">0.46</td>
- <td class="pnum" style="border-right:0px">7.84</td>
- </tr>
- <tr>
- <td class="num">43</td>
- <td class="text" style="max-width:307px">
- <a class="linkb" href="/public/quotes/main.html?symbol=HPQ" onmouseout="com.dowjones.rolloverQuotes.hidelater();" onmouseover="com.dowjones.rolloverQuotes.show(this,'HPQ')">Hewlett-Packard (HPQ)
- </a>
- </td>
- <td align="right" class="num" style="font-weight:bold;">9,948,935</td>
- <td class="nnum">21.17</td>
- <td class="nnum">-0.13</td>
- <td class="nnum" style="border-right:0px">-0.61</td>
- </tr>
- <tr>
- <td class="num">44</td>
- <td class="text" style="max-width:307px">
- <a class="linkb" href="/public/quotes/main.html?symbol=PHM" onmouseout="com.dowjones.rolloverQuotes.hidelater();" onmouseover="com.dowjones.rolloverQuotes.show(this,'PHM')">PulteGroup (PHM)
- </a>
- </td>
- <td align="right" class="num" style="font-weight:bold;">9,899,141</td>
- <td class="nnum">16.57</td>
- <td class="nnum">-0.41</td>
- <td class="nnum" style="border-right:0px">-2.41</td>
- </tr>
- <tr>
- <td class="num">45</td>
- <td class="text" style="max-width:307px">
- <a class="linkb" href="/public/quotes/main.html?symbol=SOL" onmouseout="com.dowjones.rolloverQuotes.hidelater();" onmouseover="com.dowjones.rolloverQuotes.show(this,'SOL')">ReneSola ADS (SOL)
- </a>
- </td>
- <td align="right" class="num" style="font-weight:bold;">9,667,438</td>
- <td class="pnum">4.84</td>
- <td class="pnum">0.39</td>
- <td class="pnum" style="border-right:0px">8.76</td>
- </tr>
- <tr>
- <td class="num">46</td>
- <td class="text" style="max-width:307px">
- <a class="linkb" href="/public/quotes/main.html?symbol=GLW" onmouseout="com.dowjones.rolloverQuotes.hidelater();" onmouseover="com.dowjones.rolloverQuotes.show(this,'GLW')">Corning (GLW)
- </a>
- </td>
- <td align="right" class="num" style="font-weight:bold;">9,547,265</td>
- <td class="nnum">14.73</td>
- <td class="nnum">-0.21</td>
- <td class="nnum" style="border-right:0px">-1.41</td>
- </tr>
- <tr>
- <td class="num">47</td>
- <td class="text" style="max-width:307px">
- <a class="linkb" href="/public/quotes/main.html?symbol=COLE" onmouseout="com.dowjones.rolloverQuotes.hidelater();" onmouseover="com.dowjones.rolloverQuotes.show(this,'COLE')">Cole Real Estate Investments (COLE)
- </a>
- </td>
- <td align="right" class="num" style="font-weight:bold;">9,544,021</td>
- <td class="pnum">12.21</td>
- <td class="pnum">0.01</td>
- <td class="pnum" style="border-right:0px">0.08</td>
- </tr>
- <tr>
- <td class="num">48</td>
- <td class="text" style="max-width:307px">
- <a class="linkb" href="/public/quotes/main.html?symbol=DOW" onmouseout="com.dowjones.rolloverQuotes.hidelater();" onmouseover="com.dowjones.rolloverQuotes.show(this,'DOW')">Dow Chemical (DOW)
- </a>
- </td>
- <td align="right" class="num" style="font-weight:bold;">9,150,479</td>
- <td class="nnum">39.02</td>
- <td class="nnum">-0.97</td>
- <td class="nnum" style="border-right:0px">-2.43</td>
- </tr>
- <tr>
- <td class="num">49</td>
- <td class="text" style="max-width:307px">
- <a class="linkb" href="/public/quotes/main.html?symbol=IGT" onmouseout="com.dowjones.rolloverQuotes.hidelater();" onmouseover="com.dowjones.rolloverQuotes.show(this,'IGT')">International Game Technology (IGT)
- </a>
- </td>
- <td align="right" class="num" style="font-weight:bold;">9,129,123</td>
- <td class="nnum">19.23</td>
- <td class="nnum">-1.44</td>
- <td class="nnum" style="border-right:0px">-6.97</td>
- </tr>
- <tr>
- <td class="num">50</td>
- <td class="text" style="max-width:307px">
- <a class="linkb" href="/public/quotes/main.html?symbol=ACN" onmouseout="com.dowjones.rolloverQuotes.hidelater();" onmouseover="com.dowjones.rolloverQuotes.show(this,'ACN')">Accenture Cl A (ACN)
- </a>
- </td>
- <td align="right" class="num" style="font-weight:bold;">8,773,260</td>
- <td class="nnum">74.09</td>
- <td class="nnum">-1.78</td>
- <td class="nnum" style="border-right:0px">-2.35</td>
- </tr>
- <tr>
- <td class="num">51</td>
- <td class="text" style="max-width:307px">
- <a class="linkb" href="/public/quotes/main.html?symbol=KEY" onmouseout="com.dowjones.rolloverQuotes.hidelater();" onmouseover="com.dowjones.rolloverQuotes.show(this,'KEY')">KeyCorp (KEY)
- </a>
- </td>
- <td align="right" class="num" style="font-weight:bold;">8,599,333</td>
- <td class="pnum">11.36</td>
- <td class="pnum">0.02</td>
- <td class="pnum" style="border-right:0px">0.18</td>
- </tr>
- <tr>
- <td class="num">52</td>
- <td class="text" style="max-width:307px">
- <a class="linkb" href="/public/quotes/main.html?symbol=BMY" onmouseout="com.dowjones.rolloverQuotes.hidelater();" onmouseover="com.dowjones.rolloverQuotes.show(this,'BMY')">Bristol-Myers Squibb (BMY)
- </a>
- </td>
- <td align="right" class="num" style="font-weight:bold;">8,440,709</td>
- <td class="nnum">46.20</td>
- <td class="nnum">-0.73</td>
- <td class="nnum" style="border-right:0px">-1.56</td>
- </tr>
- <tr>
- <td class="num">53</td>
- <td class="text" style="max-width:307px">
- <a class="linkb" href="/public/quotes/main.html?symbol=SID" onmouseout="com.dowjones.rolloverQuotes.hidelater();" onmouseover="com.dowjones.rolloverQuotes.show(this,'SID')">Companhia Siderurgica Nacional ADS (SID)
- </a>
- </td>
- <td align="right" class="num" style="font-weight:bold;">8,437,636</td>
- <td class="nnum">4.36</td>
- <td class="nnum">-0.05</td>
- <td class="nnum" style="border-right:0px">-1.13</td>
- </tr>
- <tr>
- <td class="num">54</td>
- <td class="text" style="max-width:307px">
- <a class="linkb" href="/public/quotes/main.html?symbol=HRB" onmouseout="com.dowjones.rolloverQuotes.hidelater();" onmouseover="com.dowjones.rolloverQuotes.show(this,'HRB')">H&R Block (HRB)
- </a>
- </td>
- <td align="right" class="num" style="font-weight:bold;">8,240,984</td>
- <td class="pnum">26.36</td>
- <td class="pnum">0.31</td>
- <td class="pnum" style="border-right:0px">1.19</td>
- </tr>
- <tr>
- <td class="num">55</td>
- <td class="text" style="max-width:307px">
- <a class="linkb" href="/public/quotes/main.html?symbol=MTG" onmouseout="com.dowjones.rolloverQuotes.hidelater();" onmouseover="com.dowjones.rolloverQuotes.show(this,'MTG')">MGIC Investment (MTG)
- </a>
- </td>
- <td align="right" class="num" style="font-weight:bold;">8,135,037</td>
- <td class="nnum">7.26</td>
- <td class="nnum">-0.10</td>
- <td class="nnum" style="border-right:0px">-1.36</td>
- </tr>
- <tr>
- <td class="num">56</td>
- <td class="text" style="max-width:307px">
- <a class="linkb" href="/public/quotes/main.html?symbol=RNG" onmouseout="com.dowjones.rolloverQuotes.hidelater();" onmouseover="com.dowjones.rolloverQuotes.show(this,'RNG')">RingCentral Cl A (RNG)
- </a>
- </td>
- <td align="right" class="num" style="font-weight:bold;">8,117,469</td>
- <td class="pnum">18.20</td>
- <td class="pnum">5.20</td>
- <td class="pnum" style="border-right:0px">40.00</td>
- </tr>
- <tr>
- <td class="num">57</td>
- <td class="text" style="max-width:307px">
- <a class="linkb" href="/public/quotes/main.html?symbol=X" onmouseout="com.dowjones.rolloverQuotes.hidelater();" onmouseover="com.dowjones.rolloverQuotes.show(this,'X')">United States Steel (X)
- </a>
- </td>
- <td align="right" class="num" style="font-weight:bold;">8,107,899</td>
- <td class="nnum">20.44</td>
- <td class="nnum">-0.66</td>
- <td class="nnum" style="border-right:0px">-3.13</td>
- </tr>
- <tr>
- <td class="num">58</td>
- <td class="text" style="max-width:307px">
- <a class="linkb" href="/public/quotes/main.html?symbol=CLF" onmouseout="com.dowjones.rolloverQuotes.hidelater();" onmouseover="com.dowjones.rolloverQuotes.show(this,'CLF')">Cliffs Natural Resources (CLF)
- </a>
- </td>
- <td align="right" class="num" style="font-weight:bold;">8,041,572</td>
- <td class="nnum">21.00</td>
- <td class="nnum">-0.83</td>
- <td class="nnum" style="border-right:0px">-3.80</td>
- </tr>
- <tr>
- <td class="num">59</td>
- <td class="text" style="max-width:307px">
- <a class="linkb" href="/public/quotes/main.html?symbol=NEM" onmouseout="com.dowjones.rolloverQuotes.hidelater();" onmouseover="com.dowjones.rolloverQuotes.show(this,'NEM')">Newmont Mining (NEM)
- </a>
- </td>
- <td align="right" class="num" style="font-weight:bold;">8,014,250</td>
- <td class="nnum">27.98</td>
- <td class="nnum">-0.19</td>
- <td class="nnum" style="border-right:0px">-0.67</td>
- </tr>
- <tr>
- <td class="num">60</td>
- <td class="text" style="max-width:307px">
- <a class="linkb" href="/public/quotes/main.html?symbol=MO" onmouseout="com.dowjones.rolloverQuotes.hidelater();" onmouseover="com.dowjones.rolloverQuotes.show(this,'MO')">Altria Group (MO)
- </a>
- </td>
- <td align="right" class="num" style="font-weight:bold;">7,786,048</td>
- <td class="nnum">34.71</td>
- <td class="nnum">-0.29</td>
- <td class="nnum" style="border-right:0px">-0.83</td>
- </tr>
- <tr>
- <td class="num">61</td>
- <td class="text" style="max-width:307px">
- <a class="linkb" href="/public/quotes/main.html?symbol=SD" onmouseout="com.dowjones.rolloverQuotes.hidelater();" onmouseover="com.dowjones.rolloverQuotes.show(this,'SD')">SandRidge Energy (SD)
- </a>
- </td>
- <td align="right" class="num" style="font-weight:bold;">7,782,745</td>
- <td class="nnum">5.93</td>
- <td class="nnum">-0.06</td>
- <td class="nnum" style="border-right:0px">-1.00</td>
- </tr>
- <tr>
- <td class="num">62</td>
- <td class="text" style="max-width:307px">
- <a class="linkb" href="/public/quotes/main.html?symbol=MCP" onmouseout="com.dowjones.rolloverQuotes.hidelater();" onmouseover="com.dowjones.rolloverQuotes.show(this,'MCP')">Molycorp (MCP)
- </a>
- </td>
- <td align="right" class="num" style="font-weight:bold;">7,735,831</td>
- <td class="nnum">6.73</td>
- <td class="nnum">-0.45</td>
- <td class="nnum" style="border-right:0px">-6.27</td>
- </tr>
- <tr>
- <td class="num">63</td>
- <td class="text" style="max-width:307px">
- <a class="linkb" href="/public/quotes/main.html?symbol=HAL" onmouseout="com.dowjones.rolloverQuotes.hidelater();" onmouseover="com.dowjones.rolloverQuotes.show(this,'HAL')">Halliburton (HAL)
- </a>
- </td>
- <td align="right" class="num" style="font-weight:bold;">7,728,735</td>
- <td class="nnum">48.39</td>
- <td class="nnum">-0.32</td>
- <td class="nnum" style="border-right:0px">-0.66</td>
- </tr>
- <tr>
- <td class="num">64</td>
- <td class="text" style="max-width:307px">
- <a class="linkb" href="/public/quotes/main.html?symbol=TSM" onmouseout="com.dowjones.rolloverQuotes.hidelater();" onmouseover="com.dowjones.rolloverQuotes.show(this,'TSM')">Taiwan Semiconductor Manufacturing ADS (TSM)
- </a>
- </td>
- <td align="right" class="num" style="font-weight:bold;">7,661,397</td>
- <td class="nnum">17.07</td>
- <td class="nnum">-0.25</td>
- <td class="nnum" style="border-right:0px">-1.44</td>
- </tr>
- <tr>
- <td class="num">65</td>
- <td class="text" style="max-width:307px">
- <a class="linkb" href="/public/quotes/main.html?symbol=FCX" onmouseout="com.dowjones.rolloverQuotes.hidelater();" onmouseover="com.dowjones.rolloverQuotes.show(this,'FCX')">Freeport-McMoRan Copper&Gold (FCX)
- </a>
- </td>
- <td align="right" class="num" style="font-weight:bold;">7,622,803</td>
- <td class="nnum">33.42</td>
- <td class="nnum">-0.45</td>
- <td class="nnum" style="border-right:0px">-1.33</td>
- </tr>
- <tr>
- <td class="num">66</td>
- <td class="text" style="max-width:307px">
- <a class="linkb" href="/public/quotes/main.html?symbol=KOG" onmouseout="com.dowjones.rolloverQuotes.hidelater();" onmouseover="com.dowjones.rolloverQuotes.show(this,'KOG')">Kodiak Oil&Gas (KOG)
- </a>
- </td>
- <td align="right" class="num" style="font-weight:bold;">7,543,806</td>
- <td class="pnum">11.94</td>
- <td class="pnum">0.16</td>
- <td class="pnum" style="border-right:0px">1.36</td>
- </tr>
- <tr>
- <td class="num">67</td>
- <td class="text" style="max-width:307px">
- <a class="linkb" href="/public/quotes/main.html?symbol=XRX" onmouseout="com.dowjones.rolloverQuotes.hidelater();" onmouseover="com.dowjones.rolloverQuotes.show(this,'XRX')">Xerox (XRX)
- </a>
- </td>
- <td align="right" class="num" style="font-weight:bold;">7,440,689</td>
- <td class="nnum">10.37</td>
- <td class="nnum">-0.01</td>
- <td class="nnum" style="border-right:0px">-0.10</td>
- </tr>
- <tr>
- <td class="num">68</td>
- <td class="text" style="max-width:307px">
- <a class="linkb" href="/public/quotes/main.html?symbol=S" onmouseout="com.dowjones.rolloverQuotes.hidelater();" onmouseover="com.dowjones.rolloverQuotes.show(this,'S')">Sprint (S)
- </a>
- </td>
- <td align="right" class="num" style="font-weight:bold;">7,291,351</td>
- <td class="nnum">6.16</td>
- <td class="nnum">-0.14</td>
- <td class="nnum" style="border-right:0px">-2.22</td>
- </tr>
- <tr>
- <td class="num">69</td>
- <td class="text" style="max-width:307px">
- <a class="linkb" href="/public/quotes/main.html?symbol=TWO" onmouseout="com.dowjones.rolloverQuotes.hidelater();" onmouseover="com.dowjones.rolloverQuotes.show(this,'TWO')">Two Harbors Investment (TWO)
- </a>
- </td>
- <td align="right" class="num" style="font-weight:bold;">7,153,803</td>
- <td class="pnum">9.79</td>
- <td class="pnum">0.05</td>
- <td class="pnum" style="border-right:0px">0.51</td>
- </tr>
- <tr>
- <td class="num">70</td>
- <td class="text" style="max-width:307px">
- <a class="linkb" href="/public/quotes/main.html?symbol=WLT" onmouseout="com.dowjones.rolloverQuotes.hidelater();" onmouseover="com.dowjones.rolloverQuotes.show(this,'WLT')">Walter Energy (WLT)
- </a>
- </td>
- <td align="right" class="num" style="font-weight:bold;">7,152,192</td>
- <td class="nnum">14.19</td>
- <td class="nnum">-0.36</td>
- <td class="nnum" style="border-right:0px">-2.47</td>
- </tr>
- <tr>
- <td class="num">71</td>
- <td class="text" style="max-width:307px">
- <a class="linkb" href="/public/quotes/main.html?symbol=IP" onmouseout="com.dowjones.rolloverQuotes.hidelater();" onmouseover="com.dowjones.rolloverQuotes.show(this,'IP')">International Paper (IP)
- </a>
- </td>
- <td align="right" class="num" style="font-weight:bold;">7,123,722</td>
- <td class="nnum">45.44</td>
- <td class="nnum">-1.85</td>
- <td class="nnum" style="border-right:0px">-3.91</td>
- </tr>
- <tr>
- <td class="num">72</td>
- <td class="text" style="max-width:307px">
- <a class="linkb" href="/public/quotes/main.html?symbol=PPL" onmouseout="com.dowjones.rolloverQuotes.hidelater();" onmouseover="com.dowjones.rolloverQuotes.show(this,'PPL')">PPL (PPL)
- </a>
- </td>
- <td align="right" class="num" style="font-weight:bold;">7,026,292</td>
- <td class="nnum">30.34</td>
- <td class="nnum">-0.13</td>
- <td class="nnum" style="border-right:0px">-0.43</td>
- </tr>
- <tr>
- <td class="num">73</td>
- <td class="text" style="max-width:307px">
- <a class="linkb" href="/public/quotes/main.html?symbol=GG" onmouseout="com.dowjones.rolloverQuotes.hidelater();" onmouseover="com.dowjones.rolloverQuotes.show(this,'GG')">Goldcorp (GG)
- </a>
- </td>
- <td align="right" class="num" style="font-weight:bold;">6,857,447</td>
- <td class="pnum">25.76</td>
- <td class="pnum">0.08</td>
- <td class="pnum" style="border-right:0px">0.31</td>
- </tr>
- <tr>
- <td class="num">74</td>
- <td class="text" style="max-width:307px">
- <a class="linkb" href="/public/quotes/main.html?symbol=TWX" onmouseout="com.dowjones.rolloverQuotes.hidelater();" onmouseover="com.dowjones.rolloverQuotes.show(this,'TWX')">Time Warner (TWX)
- </a>
- </td>
- <td align="right" class="num" style="font-weight:bold;">6,807,237</td>
- <td class="pnum">66.20</td>
- <td class="pnum">1.33</td>
- <td class="pnum" style="border-right:0px">2.05</td>
- </tr>
- <tr>
- <td class="num">75</td>
- <td class="text" style="max-width:307px">
- <a class="linkb" href="/public/quotes/main.html?symbol=SNV" onmouseout="com.dowjones.rolloverQuotes.hidelater();" onmouseover="com.dowjones.rolloverQuotes.show(this,'SNV')">Synovus Financial (SNV)
- </a>
- </td>
- <td align="right" class="num" style="font-weight:bold;">6,764,805</td>
- <td class="pnum">3.29</td>
- <td class="pnum">0.02</td>
- <td class="pnum" style="border-right:0px">0.61</td>
- </tr>
- <tr>
- <td class="num">76</td>
- <td class="text" style="max-width:307px">
- <a class="linkb" href="/public/quotes/main.html?symbol=AKS" onmouseout="com.dowjones.rolloverQuotes.hidelater();" onmouseover="com.dowjones.rolloverQuotes.show(this,'AKS')">AK Steel Holding (AKS)
- </a>
- </td>
- <td align="right" class="num" style="font-weight:bold;">6,662,599</td>
- <td class="nnum">3.83</td>
- <td class="nnum">-0.11</td>
- <td class="nnum" style="border-right:0px">-2.79</td>
- </tr>
- <tr>
- <td class="num">77</td>
- <td class="text" style="max-width:307px">
- <a class="linkb" href="/public/quotes/main.html?symbol=BSX" onmouseout="com.dowjones.rolloverQuotes.hidelater();" onmouseover="com.dowjones.rolloverQuotes.show(this,'BSX')">Boston Scientific (BSX)
- </a>
- </td>
- <td align="right" class="num" style="font-weight:bold;">6,629,084</td>
- <td class="nnum">11.52</td>
- <td class="nnum">-0.15</td>
- <td class="nnum" style="border-right:0px">-1.29</td>
- </tr>
- <tr>
- <td class="num">78</td>
- <td class="text" style="max-width:307px">
- <a class="linkb" href="/public/quotes/main.html?symbol=EGO" onmouseout="com.dowjones.rolloverQuotes.hidelater();" onmouseover="com.dowjones.rolloverQuotes.show(this,'EGO')">Eldorado Gold (EGO)
- </a>
- </td>
- <td align="right" class="num" style="font-weight:bold;">6,596,902</td>
- <td class="nnum">6.65</td>
- <td class="nnum">-0.03</td>
- <td class="nnum" style="border-right:0px">-0.45</td>
- </tr>
- <tr>
- <td class="num">79</td>
- <td class="text" style="max-width:307px">
- <a class="linkb" href="/public/quotes/main.html?symbol=NR" onmouseout="com.dowjones.rolloverQuotes.hidelater();" onmouseover="com.dowjones.rolloverQuotes.show(this,'NR')">Newpark Resources (NR)
- </a>
- </td>
- <td align="right" class="num" style="font-weight:bold;">6,552,453</td>
- <td class="pnum">12.56</td>
- <td class="pnum">0.09</td>
- <td class="pnum" style="border-right:0px">0.72</td>
- </tr>
- <tr>
- <td class="num">80</td>
- <td class="text" style="max-width:307px">
- <a class="linkb" href="/public/quotes/main.html?symbol=ABBV" onmouseout="com.dowjones.rolloverQuotes.hidelater();" onmouseover="com.dowjones.rolloverQuotes.show(this,'ABBV')">AbbVie (ABBV)
- </a>
- </td>
- <td align="right" class="num" style="font-weight:bold;">6,525,524</td>
- <td class="nnum">44.33</td>
- <td class="nnum">-0.67</td>
- <td class="nnum" style="border-right:0px">-1.49</td>
- </tr>
- <tr>
- <td class="num">81</td>
- <td class="text" style="max-width:307px">
- <a class="linkb" href="/public/quotes/main.html?symbol=MBI" onmouseout="com.dowjones.rolloverQuotes.hidelater();" onmouseover="com.dowjones.rolloverQuotes.show(this,'MBI')">MBIA (MBI)
- </a>
- </td>
- <td align="right" class="num" style="font-weight:bold;">6,416,587</td>
- <td class="nnum">10.38</td>
- <td class="nnum">-0.43</td>
- <td class="nnum" style="border-right:0px">-3.98</td>
- </tr>
- <tr>
- <td class="num">82</td>
- <td class="text" style="max-width:307px">
- <a class="linkb" href="/public/quotes/main.html?symbol=SAI" onmouseout="com.dowjones.rolloverQuotes.hidelater();" onmouseover="com.dowjones.rolloverQuotes.show(this,'SAI')">SAIC (SAI)
- </a>
- </td>
- <td align="right" class="num" style="font-weight:bold;">6,404,587</td>
- <td class="pnum">16.03</td>
- <td class="pnum">0.13</td>
- <td class="pnum" style="border-right:0px">0.82</td>
- </tr>
- <tr>
- <td class="num">83</td>
- <td class="text" style="max-width:307px">
- <a class="linkb" href="/public/quotes/main.html?symbol=PG" onmouseout="com.dowjones.rolloverQuotes.hidelater();" onmouseover="com.dowjones.rolloverQuotes.show(this,'PG')">Procter&Gamble (PG)
- </a>
- </td>
- <td align="right" class="num" style="font-weight:bold;">6,389,143</td>
- <td class="nnum">77.21</td>
- <td class="nnum">-0.84</td>
- <td class="nnum" style="border-right:0px">-1.08</td>
- </tr>
- <tr>
- <td class="num">84</td>
- <td class="text" style="max-width:307px">
- <a class="linkb" href="/public/quotes/main.html?symbol=IAG" onmouseout="com.dowjones.rolloverQuotes.hidelater();" onmouseover="com.dowjones.rolloverQuotes.show(this,'IAG')">IAMGOLD (IAG)
- </a>
- </td>
- <td align="right" class="num" style="font-weight:bold;">6,293,001</td>
- <td class="nnum">4.77</td>
- <td class="nnum">-0.06</td>
- <td class="nnum" style="border-right:0px">-1.24</td>
- </tr>
- <tr>
- <td class="num">85</td>
- <td class="text" style="max-width:307px">
- <a class="linkb" href="/public/quotes/main.html?symbol=SWY" onmouseout="com.dowjones.rolloverQuotes.hidelater();" onmouseover="com.dowjones.rolloverQuotes.show(this,'SWY')">Safeway (SWY)
- </a>
- </td>
- <td align="right" class="num" style="font-weight:bold;">6,268,184</td>
- <td class="nnum">32.25</td>
- <td class="nnum">-0.29</td>
- <td class="nnum" style="border-right:0px">-0.89</td>
- </tr>
- <tr>
- <td class="num">86</td>
- <td class="text" style="max-width:307px">
- <a class="linkb" href="/public/quotes/main.html?symbol=KGC" onmouseout="com.dowjones.rolloverQuotes.hidelater();" onmouseover="com.dowjones.rolloverQuotes.show(this,'KGC')">Kinross Gold (KGC)
- </a>
- </td>
- <td align="right" class="num" style="font-weight:bold;">6,112,658</td>
- <td class="nnum">4.99</td>
- <td class="nnum">-0.03</td>
- <td class="nnum" style="border-right:0px">-0.60</td>
- </tr>
- <tr>
- <td class="num">87</td>
- <td class="text" style="max-width:307px">
- <a class="linkb" href="/public/quotes/main.html?symbol=MGM" onmouseout="com.dowjones.rolloverQuotes.hidelater();" onmouseover="com.dowjones.rolloverQuotes.show(this,'MGM')">MGM Resorts International (MGM)
- </a>
- </td>
- <td align="right" class="num" style="font-weight:bold;">5,986,143</td>
- <td class="nnum">20.22</td>
- <td class="nnum">-0.05</td>
- <td class="nnum" style="border-right:0px">-0.25</td>
- </tr>
- <tr>
- <td class="num">88</td>
- <td class="text" style="max-width:307px">
- <a class="linkb" href="/public/quotes/main.html?symbol=CX" onmouseout="com.dowjones.rolloverQuotes.hidelater();" onmouseover="com.dowjones.rolloverQuotes.show(this,'CX')">Cemex ADS (CX)
- </a>
- </td>
- <td align="right" class="num" style="font-weight:bold;">5,907,040</td>
- <td class="nnum">11.27</td>
- <td class="nnum">-0.06</td>
- <td class="nnum" style="border-right:0px">-0.53</td>
- </tr>
- <tr>
- <td class="num">89</td>
- <td class="text" style="max-width:307px">
- <a class="linkb" href="/public/quotes/main.html?symbol=AIG" onmouseout="com.dowjones.rolloverQuotes.hidelater();" onmouseover="com.dowjones.rolloverQuotes.show(this,'AIG')">American International Group (AIG)
- </a>
- </td>
- <td align="right" class="num" style="font-weight:bold;">5,900,133</td>
- <td class="nnum">49.15</td>
- <td class="nnum">-0.30</td>
- <td class="nnum" style="border-right:0px">-0.61</td>
- </tr>
- <tr>
- <td class="num">90</td>
- <td class="text" style="max-width:307px">
- <a class="linkb" href="/public/quotes/main.html?symbol=CHK" onmouseout="com.dowjones.rolloverQuotes.hidelater();" onmouseover="com.dowjones.rolloverQuotes.show(this,'CHK')">Chesapeake Energy (CHK)
- </a>
- </td>
- <td align="right" class="num" style="font-weight:bold;">5,848,016</td>
- <td class="nnum">26.21</td>
- <td class="nnum">-0.20</td>
- <td class="nnum" style="border-right:0px">-0.76</td>
- </tr>
- <tr>
- <td class="num">91</td>
- <td class="text" style="max-width:307px">
- <a class="linkb" href="/public/quotes/main.html?symbol=RSH" onmouseout="com.dowjones.rolloverQuotes.hidelater();" onmouseover="com.dowjones.rolloverQuotes.show(this,'RSH')">RadioShack (RSH)
- </a>
- </td>
- <td align="right" class="num" style="font-weight:bold;">5,837,833</td>
- <td class="nnum">3.44</td>
- <td class="nnum">-0.43</td>
- <td class="nnum" style="border-right:0px">-11.11</td>
- </tr>
- <tr>
- <td class="num">92</td>
- <td class="text" style="max-width:307px">
- <a class="linkb" href="/public/quotes/main.html?symbol=USB" onmouseout="com.dowjones.rolloverQuotes.hidelater();" onmouseover="com.dowjones.rolloverQuotes.show(this,'USB')">U.S. Bancorp (USB)
- </a>
- </td>
- <td align="right" class="num" style="font-weight:bold;">5,814,373</td>
- <td class="nnum">36.50</td>
- <td class="nnum">-0.04</td>
- <td class="nnum" style="border-right:0px">-0.11</td>
- </tr>
- <tr>
- <td class="num">93</td>
- <td class="text" style="max-width:307px">
- <a class="linkb" href="/public/quotes/main.html?symbol=LLY" onmouseout="com.dowjones.rolloverQuotes.hidelater();" onmouseover="com.dowjones.rolloverQuotes.show(this,'LLY')">Eli Lilly (LLY)
- </a>
- </td>
- <td align="right" class="num" style="font-weight:bold;">5,776,991</td>
- <td class="nnum">50.50</td>
- <td class="nnum">-0.54</td>
- <td class="nnum" style="border-right:0px">-1.06</td>
- </tr>
- <tr>
- <td class="num">94</td>
- <td class="text" style="max-width:307px">
- <a class="linkb" href="/public/quotes/main.html?symbol=MET" onmouseout="com.dowjones.rolloverQuotes.hidelater();" onmouseover="com.dowjones.rolloverQuotes.show(this,'MET')">MetLife (MET)
- </a>
- </td>
- <td align="right" class="num" style="font-weight:bold;">5,774,996</td>
- <td class="nnum">47.21</td>
- <td class="nnum">-0.37</td>
- <td class="nnum" style="border-right:0px">-0.78</td>
- </tr>
- <tr>
- <td class="num">95</td>
- <td class="text" style="max-width:307px">
- <a class="linkb" href="/public/quotes/main.html?symbol=AUY" onmouseout="com.dowjones.rolloverQuotes.hidelater();" onmouseover="com.dowjones.rolloverQuotes.show(this,'AUY')">Yamana Gold (AUY)
- </a>
- </td>
- <td align="right" class="num" style="font-weight:bold;">5,742,426</td>
- <td class="pnum">10.37</td>
- <td class="pnum">0.03</td>
- <td class="pnum" style="border-right:0px">0.29</td>
- </tr>
- <tr>
- <td class="num">96</td>
- <td class="text" style="max-width:307px">
- <a class="linkb" href="/public/quotes/main.html?symbol=CBS" onmouseout="com.dowjones.rolloverQuotes.hidelater();" onmouseover="com.dowjones.rolloverQuotes.show(this,'CBS')">CBS Cl B (CBS)
- </a>
- </td>
- <td align="right" class="num" style="font-weight:bold;">5,718,858</td>
- <td class="nnum">55.50</td>
- <td class="nnum">-0.06</td>
- <td class="nnum" style="border-right:0px">-0.11</td>
- </tr>
- <tr>
- <td class="num">97</td>
- <td class="text" style="max-width:307px">
- <a class="linkb" href="/public/quotes/main.html?symbol=CSX" onmouseout="com.dowjones.rolloverQuotes.hidelater();" onmouseover="com.dowjones.rolloverQuotes.show(this,'CSX')">CSX (CSX)
- </a>
- </td>
- <td align="right" class="num" style="font-weight:bold;">5,710,066</td>
- <td class="nnum">25.85</td>
- <td class="nnum">-0.13</td>
- <td class="nnum" style="border-right:0px">-0.50</td>
- </tr>
- <tr>
- <td class="num">98</td>
- <td class="text" style="max-width:307px">
- <a class="linkb" href="/public/quotes/main.html?symbol=CCL" onmouseout="com.dowjones.rolloverQuotes.hidelater();" onmouseover="com.dowjones.rolloverQuotes.show(this,'CCL')">Carnival (CCL)
- </a>
- </td>
- <td align="right" class="num" style="font-weight:bold;">5,661,325</td>
- <td class="nnum">32.88</td>
- <td class="nnum">-0.05</td>
- <td class="nnum" style="border-right:0px">-0.15</td>
- </tr>
- <tr>
- <td class="num">99</td>
- <td class="text" style="max-width:307px">
- <a class="linkb" href="/public/quotes/main.html?symbol=MOS" onmouseout="com.dowjones.rolloverQuotes.hidelater();" onmouseover="com.dowjones.rolloverQuotes.show(this,'MOS')">Mosaic (MOS)
- </a>
- </td>
- <td align="right" class="num" style="font-weight:bold;">5,595,592</td>
- <td class="nnum">43.43</td>
- <td class="nnum">-0.76</td>
- <td class="nnum" style="border-right:0px">-1.72</td>
- </tr>
- <tr>
- <td class="num">100</td>
- <td class="text" style="max-width:307px">
- <a class="linkb" href="/public/quotes/main.html?symbol=WAG" onmouseout="com.dowjones.rolloverQuotes.hidelater();" onmouseover="com.dowjones.rolloverQuotes.show(this,'WAG')">Walgreen (WAG)
- </a>
- </td>
- <td align="right" class="num" style="font-weight:bold;">5,568,310</td>
- <td class="nnum">54.51</td>
- <td class="nnum">-0.22</td>
- <td class="nnum" style="border-right:0px">-0.40</td>
- </tr>
-</tbody></table>
-<table bgcolor="" border="0" cellpadding="0" cellspacing="0" width="100%">
- <tbody><tr><td height="20px"><img alt="" border="0" height="20px" src="/img/b.gif" width="1"/></td></tr>
-</tbody></table>
-<table align="center" bgcolor="#ffffff" border="0" cellpadding="0" cellspacing="0" style="border:1px solid #cfc7b7;margin-bottom:5px;" width="575px">
- <tbody><tr>
- <td bgcolor="#e9e7e0" class="b12" colspan="3" style="padding:3px 0px 3px 0px;"><span class="p10" style="color:#000; float:right">An Advertising Feature </span> PARTNER CENTER</td>
- </tr>
-
- <tr>
- <td align="center" class="p10" style="padding:10px 0px 5px 0px;border-right:1px solid #cfc7b7;" valign="top">
-
-
-
- <script type="text/javascript">
-<!--
- var tempHTML = '';
- var adURL = 'http://ad.doubleclick.net/adi/'+((GetCookie('etsFlag'))?'ets.wsj.com':'brokerbuttons.wsj.com')+'/markets_front;!category=;msrc=' + msrc + ';' + segQS + ';' + mc + ';tile=1;sz=170x67;ord=26093260932609326093;';
- if ( isSafari ) {
- tempHTML += '<iframe id="mdc_tradingcenter1" src="'+adURL+'" width="170" height="67" marginwidth="0" marginheight="0" hspace="0" vspace="0" frameborder="0" scrolling="no" bordercolor="#000000" style="width:170">';
- } else {
- tempHTML += '<iframe id="mdc_tradingcenter1" src="/static_html_files/blank.htm" width="170" height="67" marginwidth="0" marginheight="0" hspace="0" vspace="0" frameborder="0" scrolling="no" bordercolor="#000000" style="width:170px;">';
- ListOfIframes.mdc_tradingcenter1= adURL;
- }
- tempHTML += '<a href="http://ad.doubleclick.net/jump/'+((GetCookie('etsFlag'))?'ets.wsj.com':'brokerbuttons.wsj.com')+'/markets_front;!category=;msrc=' + msrc + ';' + segQS + ';' + mc + ';tile=1;sz=170x67;ord=26093260932609326093;" target="_new">';
- tempHTML += '<img src="http://ad.doubleclick.net/ad/'+((GetCookie('etsFlag'))?'ets.wsj.com':'brokerbuttons.wsj.com')+'/markets_front;!category=;msrc=' + msrc + ';' + segQS + ';' + mc + ';tile=1;sz=170x67;ord=26093260932609326093;" border="0" width="170" height="67" vspace="0" alt="Advertisement" /></a><br /></iframe>';
- document.write(tempHTML);
- // -->
- </script>
- </td>
-
- <td align="center" class="p10" style="padding:10px 0px 5px 0px;border-right:1px solid #cfc7b7;" valign="top">
-
-
-
- <script type="text/javascript">
-<!--
- var tempHTML = '';
- var adURL = 'http://ad.doubleclick.net/adi/'+((GetCookie('etsFlag'))?'ets.wsj.com':'brokerbuttons.wsj.com')+'/markets_front;!category=;msrc=' + msrc + ';' + segQS + ';' + mc + ';tile=2;sz=170x67;ord=26093260932609326093;';
- if ( isSafari ) {
- tempHTML += '<iframe id="mdc_tradingcenter2" src="'+adURL+'" width="170" height="67" marginwidth="0" marginheight="0" hspace="0" vspace="0" frameborder="0" scrolling="no" bordercolor="#000000" style="width:170">';
- } else {
- tempHTML += '<iframe id="mdc_tradingcenter2" src="/static_html_files/blank.htm" width="170" height="67" marginwidth="0" marginheight="0" hspace="0" vspace="0" frameborder="0" scrolling="no" bordercolor="#000000" style="width:170px;">';
- ListOfIframes.mdc_tradingcenter2= adURL;
- }
- tempHTML += '<a href="http://ad.doubleclick.net/jump/'+((GetCookie('etsFlag'))?'ets.wsj.com':'brokerbuttons.wsj.com')+'/markets_front;!category=;msrc=' + msrc + ';' + segQS + ';' + mc + ';tile=2;sz=170x67;ord=26093260932609326093;" target="_new">';
- tempHTML += '<img src="http://ad.doubleclick.net/ad/'+((GetCookie('etsFlag'))?'ets.wsj.com':'brokerbuttons.wsj.com')+'/markets_front;!category=;msrc=' + msrc + ';' + segQS + ';' + mc + ';tile=2;sz=170x67;ord=26093260932609326093;" border="0" width="170" height="67" vspace="0" alt="Advertisement" /></a><br /></iframe>';
- document.write(tempHTML);
- // -->
- </script>
- </td>
-
- <td align="center" class="p10" style="padding:10px 0px 5px 0px;" valign="top">
-
-
-
- <script type="text/javascript">
-<!--
- var tempHTML = '';
- var adURL = 'http://ad.doubleclick.net/adi/'+((GetCookie('etsFlag'))?'ets.wsj.com':'brokerbuttons.wsj.com')+'/markets_front;!category=;msrc=' + msrc + ';' + segQS + ';' + mc + ';tile=3;sz=170x67;ord=26093260932609326093;';
- if ( isSafari ) {
- tempHTML += '<iframe id="mdc_tradingcenter3" src="'+adURL+'" width="170" height="67" marginwidth="0" marginheight="0" hspace="0" vspace="0" frameborder="0" scrolling="no" bordercolor="#000000" style="width:170">';
- } else {
- tempHTML += '<iframe id="mdc_tradingcenter3" src="/static_html_files/blank.htm" width="170" height="67" marginwidth="0" marginheight="0" hspace="0" vspace="0" frameborder="0" scrolling="no" bordercolor="#000000" style="width:170px;">';
- ListOfIframes.mdc_tradingcenter3= adURL;
- }
- tempHTML += '<a href="http://ad.doubleclick.net/jump/'+((GetCookie('etsFlag'))?'ets.wsj.com':'brokerbuttons.wsj.com')+'/markets_front;!category=;msrc=' + msrc + ';' + segQS + ';' + mc + ';tile=3;sz=170x67;ord=26093260932609326093;" target="_new">';
- tempHTML += '<img src="http://ad.doubleclick.net/ad/'+((GetCookie('etsFlag'))?'ets.wsj.com':'brokerbuttons.wsj.com')+'/markets_front;!category=;msrc=' + msrc + ';' + segQS + ';' + mc + ';tile=3;sz=170x67;ord=26093260932609326093;" border="0" width="170" height="67" vspace="0" alt="Advertisement" /></a><br /></iframe>';
- document.write(tempHTML);
- // -->
- </script>
- </td>
-
- </tr>
-
-</tbody></table>
-<table bgcolor="" border="0" cellpadding="0" cellspacing="0" width="100%">
- <tbody><tr><td height="20px"><img alt="" border="0" height="20px" src="/img/b.gif" width="1"/></td></tr>
-</tbody></table>
diff --git a/pandas/tests/io/test_html.py b/pandas/tests/io/test_html.py
index 7a814ce82fd73..b649e394c780b 100644
--- a/pandas/tests/io/test_html.py
+++ b/pandas/tests/io/test_html.py
@@ -14,7 +14,7 @@
from pandas.errors import ParserError
import pandas.util._test_decorators as td
-from pandas import DataFrame, Index, MultiIndex, Series, Timestamp, date_range, read_csv
+from pandas import DataFrame, MultiIndex, Series, Timestamp, date_range, read_csv
import pandas._testing as tm
from pandas.io.common import file_path_to_url
@@ -373,32 +373,6 @@ def test_python_docs_table(self):
zz = [df.iloc[0, 0][0:4] for df in dfs]
assert sorted(zz) == sorted(["Repo", "What"])
- @pytest.mark.slow
- def test_thousands_macau_stats(self, datapath):
- all_non_nan_table_index = -2
- macau_data = datapath("io", "data", "html", "macau.html")
- dfs = self.read_html(macau_data, index_col=0, attrs={"class": "style1"})
- df = dfs[all_non_nan_table_index]
-
- assert not any(s.isna().any() for _, s in df.items())
-
- @pytest.mark.slow
- def test_thousands_macau_index_col(self, datapath, request):
- # https://github.com/pandas-dev/pandas/issues/29622
- # This tests fails for bs4 >= 4.8.0 - so handle xfail accordingly
- if self.read_html.keywords.get("flavor") == "bs4" and td.safe_import(
- "bs4", "4.8.0"
- ):
- reason = "fails for bs4 version >= 4.8.0"
- request.node.add_marker(pytest.mark.xfail(reason=reason))
-
- all_non_nan_table_index = -2
- macau_data = datapath("io", "data", "html", "macau.html")
- dfs = self.read_html(macau_data, index_col=0, header=0)
- df = dfs[all_non_nan_table_index]
-
- assert not any(s.isna().any() for _, s in df.items())
-
def test_empty_tables(self):
"""
Make sure that read_html ignores empty tables.
@@ -571,23 +545,6 @@ def test_parse_header_of_non_string_column(self):
tm.assert_frame_equal(result, expected)
- def test_nyse_wsj_commas_table(self, datapath):
- data = datapath("io", "data", "html", "nyse_wsj.html")
- df = self.read_html(data, index_col=0, header=0, attrs={"class": "mdcTable"})[0]
-
- expected = Index(
- [
- "Issue(Roll over for charts and headlines)",
- "Volume",
- "Price",
- "Chg",
- "% Chg",
- ]
- )
- nrows = 100
- assert df.shape[0] == nrows
- tm.assert_index_equal(df.columns, expected)
-
@pytest.mark.slow
def test_banklist_header(self, datapath):
from pandas.io.html import _remove_whitespace
@@ -894,24 +851,23 @@ def test_parse_dates_combine(self):
newdf = DataFrame({"datetime": raw_dates})
tm.assert_frame_equal(newdf, res[0])
- def test_computer_sales_page(self, datapath):
- data = datapath("io", "data", "html", "computer_sales_page.html")
- msg = (
- r"Passed header=\[0,1\] are too many "
- r"rows for this multi_index of columns"
- )
- with pytest.raises(ParserError, match=msg):
- self.read_html(data, header=[0, 1])
-
- data = datapath("io", "data", "html", "computer_sales_page.html")
- assert self.read_html(data, header=[1, 2])
-
def test_wikipedia_states_table(self, datapath):
data = datapath("io", "data", "html", "wikipedia_states.html")
assert os.path.isfile(data), f"{repr(data)} is not a file"
assert os.path.getsize(data), f"{repr(data)} is an empty file"
result = self.read_html(data, "Arizona", header=1)[0]
+ assert result.shape == (60, 12)
+ assert "Unnamed" in result.columns[-1]
assert result["sq mi"].dtype == np.dtype("float64")
+ assert np.allclose(result.loc[0, "sq mi"], 665384.04)
+
+ def test_wikipedia_states_multiindex(self, datapath):
+ data = datapath("io", "data", "html", "wikipedia_states.html")
+ result = self.read_html(data, "Arizona", index_col=0)[0]
+ assert result.shape == (60, 11)
+ assert "Unnamed" in result.columns[-1][1]
+ assert result.columns.nlevels == 2
+ assert np.allclose(result.loc["Alaska", ("Total area[2]", "sq mi")], 665384.04)
def test_parser_error_on_empty_header_row(self):
msg = (
| Much of the test_html data looks like it was saved from real web pages, and not all of them look like the kind that are under a free software license. (I couldn't actually check because only one of the three identifies the source site, and that site raises a security warning.)
This removes the questionable data, and adds tests that try to do something equivalent on known-free data.
If I am mistaken and these pages are under a free license, please instead document that.
This data was added in:
https://github.com/pandas-dev/pandas/commit/1d573b4421d5ff16fd68ea0cc6c63f5f1c7ebcac computer_sales_page (HP), for MultiIndex header and empty string handling in headers (should give empty not NaN)
https://github.com/pandas-dev/pandas/commit/e22fe1b25d1ff9d5c880f6c35bc91dfab7aa0b84 nyse_wsj, for thousands separator
https://github.com/pandas-dev/pandas/commit/92aa2774ca9aa89d0a2cca011707b80db995df92 macau, for MultiIndex header and thousands separator | https://api.github.com/repos/pandas-dev/pandas/pulls/31146 | 2020-01-20T08:05:33Z | 2020-01-21T10:18:39Z | 2020-01-21T10:18:39Z | 2020-05-26T09:39:30Z |
Use https for links where available | diff --git a/.github/CODE_OF_CONDUCT.md b/.github/CODE_OF_CONDUCT.md
index a1fbece3284ec..7dd2e04249492 100644
--- a/.github/CODE_OF_CONDUCT.md
+++ b/.github/CODE_OF_CONDUCT.md
@@ -54,10 +54,10 @@ incident.
This Code of Conduct is adapted from the [Contributor Covenant][homepage],
version 1.3.0, available at
-[http://contributor-covenant.org/version/1/3/0/][version],
+[https://www.contributor-covenant.org/version/1/3/0/][version],
and the [Swift Code of Conduct][swift].
-[homepage]: http://contributor-covenant.org
-[version]: http://contributor-covenant.org/version/1/3/0/
+[homepage]: https://www.contributor-covenant.org
+[version]: https://www.contributor-covenant.org/version/1/3/0/
[swift]: https://swift.org/community/#code-of-conduct
diff --git a/.github/CONTRIBUTING.md b/.github/CONTRIBUTING.md
index 2e6e980242197..bc31d362118b5 100644
--- a/.github/CONTRIBUTING.md
+++ b/.github/CONTRIBUTING.md
@@ -16,7 +16,7 @@ If you notice a bug in the code or documentation, or have suggestions for how we
## Contributing to the Codebase
-The code is hosted on [GitHub](https://www.github.com/pandas-dev/pandas), so you will need to use [Git](http://git-scm.com/) to clone the project and make changes to the codebase. Once you have obtained a copy of the code, you should create a development environment that is separate from your existing Python environment so that you can make and test changes without compromising your own work environment. For more information, please refer to the "[Working with the code](https://github.com/pandas-dev/pandas/blob/master/doc/source/development/contributing.rst#working-with-the-code)" section.
+The code is hosted on [GitHub](https://www.github.com/pandas-dev/pandas), so you will need to use [Git](https://git-scm.com/) to clone the project and make changes to the codebase. Once you have obtained a copy of the code, you should create a development environment that is separate from your existing Python environment so that you can make and test changes without compromising your own work environment. For more information, please refer to the "[Working with the code](https://github.com/pandas-dev/pandas/blob/master/doc/source/development/contributing.rst#working-with-the-code)" section.
Before submitting your changes for review, make sure to check that your changes do not break any tests. You can find more information about our test suites in the "[Test-driven development/code writing](https://github.com/pandas-dev/pandas/blob/master/doc/source/development/contributing.rst#test-driven-development-code-writing)" section. We also have guidelines regarding coding style that will be enforced during testing, which can be found in the "[Code standards](https://github.com/pandas-dev/pandas/blob/master/doc/source/development/contributing.rst#code-standards)" section.
diff --git a/AUTHORS.md b/AUTHORS.md
index dcaaea101f4c8..f576e333f9448 100644
--- a/AUTHORS.md
+++ b/AUTHORS.md
@@ -14,7 +14,7 @@ About the Copyright Holders
The PyData Development Team is the collection of developers of the PyData
project. This includes all of the PyData sub-projects, including pandas. The
core team that coordinates development on GitHub can be found here:
- http://github.com/pydata.
+ https://github.com/pydata.
Full credits for pandas contributors can be found in the documentation.
diff --git a/RELEASE.md b/RELEASE.md
index 7924ffaff561f..42cb82dfcf020 100644
--- a/RELEASE.md
+++ b/RELEASE.md
@@ -3,4 +3,4 @@ Release Notes
The list of changes to Pandas between each release can be found
[here](https://pandas.pydata.org/pandas-docs/stable/whatsnew/index.html). For full
-details, see the commit logs at http://github.com/pandas-dev/pandas.
+details, see the commit logs at https://github.com/pandas-dev/pandas.
diff --git a/asv_bench/benchmarks/pandas_vb_common.py b/asv_bench/benchmarks/pandas_vb_common.py
index 6da2b2270c04a..fd1770df8e5d3 100644
--- a/asv_bench/benchmarks/pandas_vb_common.py
+++ b/asv_bench/benchmarks/pandas_vb_common.py
@@ -56,7 +56,7 @@
def setup(*args, **kwargs):
# This function just needs to be imported into each benchmark file to
# set up the random seed before each function.
- # http://asv.readthedocs.io/en/latest/writing_benchmarks.html
+ # https://asv.readthedocs.io/en/latest/writing_benchmarks.html
np.random.seed(1234)
diff --git a/doc/cheatsheet/README.txt b/doc/cheatsheet/README.txt
index 0eae39f318d23..c57da38b31777 100644
--- a/doc/cheatsheet/README.txt
+++ b/doc/cheatsheet/README.txt
@@ -5,4 +5,4 @@ and pick "PDF" as the format.
This cheat sheet was inspired by the RStudio Data Wrangling Cheatsheet[1], written by Irv Lustig, Princeton Consultants[2].
[1]: https://www.rstudio.com/wp-content/uploads/2015/02/data-wrangling-cheatsheet.pdf
-[2]: http://www.princetonoptimization.com/
+[2]: https://www.princetonoptimization.com/
diff --git a/doc/source/conf.py b/doc/source/conf.py
index 7f24d02a496e1..57c1bede98cc1 100644
--- a/doc/source/conf.py
+++ b/doc/source/conf.py
@@ -408,7 +408,7 @@
"py": ("https://pylib.readthedocs.io/en/latest/", None),
"python": ("https://docs.python.org/3/", None),
"scipy": ("https://docs.scipy.org/doc/scipy/reference/", None),
- "statsmodels": ("http://www.statsmodels.org/devel/", None),
+ "statsmodels": ("https://www.statsmodels.org/devel/", None),
}
# extlinks alias
@@ -625,10 +625,10 @@ def linkcode_resolve(domain, info):
fn = os.path.relpath(fn, start=os.path.dirname(pandas.__file__))
if "+" in pandas.__version__:
- return f"http://github.com/pandas-dev/pandas/blob/master/pandas/{fn}{linespec}"
+ return f"https://github.com/pandas-dev/pandas/blob/master/pandas/{fn}{linespec}"
else:
return (
- f"http://github.com/pandas-dev/pandas/blob/"
+ f"https://github.com/pandas-dev/pandas/blob/"
f"v{pandas.__version__}/pandas/{fn}{linespec}"
)
@@ -695,7 +695,7 @@ def rstjinja(app, docname, source):
"""
Render our pages as a jinja template for fancy templating goodness.
"""
- # http://ericholscher.com/blog/2016/jul/25/integrating-jinja-rst-sphinx/
+ # https://www.ericholscher.com/blog/2016/jul/25/integrating-jinja-rst-sphinx/
# Make sure we're outputting HTML
if app.builder.format != "html":
return
diff --git a/doc/source/development/contributing.rst b/doc/source/development/contributing.rst
index b650b2a2cf1fe..9599dc5bd1412 100644
--- a/doc/source/development/contributing.rst
+++ b/doc/source/development/contributing.rst
@@ -56,7 +56,7 @@ Bug reports and enhancement requests
Bug reports are an important part of making *pandas* more stable. Having a complete bug report
will allow others to reproduce the bug and provide insight into fixing. See
`this stackoverflow article <https://stackoverflow.com/help/mcve>`_ and
-`this blogpost <http://matthewrocklin.com/blog/work/2018/02/28/minimal-bug-reports>`_
+`this blogpost <https://matthewrocklin.com/blog/work/2018/02/28/minimal-bug-reports>`_
for tips on writing a good bug report.
Trying the bug-producing code out on the *master* branch is often a worthwhile exercise
@@ -67,7 +67,7 @@ Bug reports must:
#. Include a short, self-contained Python snippet reproducing the problem.
You can format the code nicely by using `GitHub Flavored Markdown
- <http://github.github.com/github-flavored-markdown/>`_::
+ <https://github.github.com/github-flavored-markdown/>`_::
```python
>>> from pandas import DataFrame
@@ -104,19 +104,19 @@ feel free to ask for help.
The code is hosted on `GitHub <https://www.github.com/pandas-dev/pandas>`_. To
contribute you will need to sign up for a `free GitHub account
-<https://github.com/signup/free>`_. We use `Git <http://git-scm.com/>`_ for
+<https://github.com/signup/free>`_. We use `Git <https://git-scm.com/>`_ for
version control to allow many people to work together on the project.
Some great resources for learning Git:
-* the `GitHub help pages <http://help.github.com/>`_.
-* the `NumPy's documentation <http://docs.scipy.org/doc/numpy/dev/index.html>`_.
-* Matthew Brett's `Pydagogue <http://matthew-brett.github.com/pydagogue/>`_.
+* the `GitHub help pages <https://help.github.com/>`_.
+* the `NumPy's documentation <https://docs.scipy.org/doc/numpy/dev/index.html>`_.
+* Matthew Brett's `Pydagogue <https://matthew-brett.github.com/pydagogue/>`_.
Getting started with Git
------------------------
-`GitHub has instructions <http://help.github.com/set-up-git-redirect>`__ for installing git,
+`GitHub has instructions <https://help.github.com/set-up-git-redirect>`__ for installing git,
setting up your SSH key, and configuring git. All these steps need to be completed before
you can work seamlessly between your local repository and GitHub.
@@ -260,7 +260,7 @@ To return to your root environment::
conda deactivate
-See the full conda docs `here <http://conda.pydata.org/docs>`__.
+See the full conda docs `here <https://conda.pydata.org/docs>`__.
.. _contributing.pip:
@@ -365,7 +365,7 @@ About the *pandas* documentation
--------------------------------
The documentation is written in **reStructuredText**, which is almost like writing
-in plain English, and built using `Sphinx <http://www.sphinx-doc.org/en/master/>`__. The
+in plain English, and built using `Sphinx <https://www.sphinx-doc.org/en/master/>`__. The
Sphinx Documentation has an excellent `introduction to reST
<https://www.sphinx-doc.org/en/master/usage/restructuredtext/basics.html>`__. Review the Sphinx docs to perform more
complex changes to the documentation as well.
@@ -390,7 +390,7 @@ Some other important things to know about the docs:
contributing_docstring.rst
* The tutorials make heavy use of the `ipython directive
- <http://matplotlib.org/sampledoc/ipython_directive.html>`_ sphinx extension.
+ <https://matplotlib.org/sampledoc/ipython_directive.html>`_ sphinx extension.
This directive lets you put code in the documentation which will be run
during the doc build. For example::
@@ -436,7 +436,7 @@ Some other important things to know about the docs:
The ``.rst`` files are used to automatically generate Markdown and HTML versions
of the docs. For this reason, please do not edit ``CONTRIBUTING.md`` directly,
but instead make any changes to ``doc/source/development/contributing.rst``. Then, to
- generate ``CONTRIBUTING.md``, use `pandoc <http://johnmacfarlane.net/pandoc/>`_
+ generate ``CONTRIBUTING.md``, use `pandoc <https://johnmacfarlane.net/pandoc/>`_
with the following command::
pandoc doc/source/development/contributing.rst -t markdown_github > CONTRIBUTING.md
@@ -620,8 +620,8 @@ You can also run this command on an entire directory if necessary::
cpplint --extensions=c,h --headers=h --filter=-readability/casting,-runtime/int,-build/include_subdir --recursive modified-c-directory
To make your commits compliant with this standard, you can install the
-`ClangFormat <http://clang.llvm.org/docs/ClangFormat.html>`_ tool, which can be
-downloaded `here <http://llvm.org/builds/>`__. To configure, in your home directory,
+`ClangFormat <https://clang.llvm.org/docs/ClangFormat.html>`_ tool, which can be
+downloaded `here <https://llvm.org/builds/>`__. To configure, in your home directory,
run the following command::
clang-format style=google -dump-config > .clang-format
@@ -651,7 +651,7 @@ fixes manually.
Python (PEP8 / black)
~~~~~~~~~~~~~~~~~~~~~
-*pandas* follows the `PEP8 <http://www.python.org/dev/peps/pep-0008/>`_ standard
+*pandas* follows the `PEP8 <https://www.python.org/dev/peps/pep-0008/>`_ standard
and uses `Black <https://black.readthedocs.io/en/stable/>`_ and
`Flake8 <http://flake8.pycqa.org/en/latest/>`_ to ensure a consistent code
format throughout the project.
@@ -971,9 +971,9 @@ Adding tests is one of the most common requests after code is pushed to *pandas*
it is worth getting in the habit of writing tests ahead of time so this is never an issue.
Like many packages, *pandas* uses `pytest
-<http://docs.pytest.org/en/latest/>`_ and the convenient
+<https://docs.pytest.org/en/latest/>`_ and the convenient
extensions in `numpy.testing
-<http://docs.scipy.org/doc/numpy/reference/routines.testing.html>`_.
+<https://docs.scipy.org/doc/numpy/reference/routines.testing.html>`_.
.. note::
@@ -1024,7 +1024,7 @@ Transitioning to ``pytest``
class TestReallyCoolFeature:
pass
-Going forward, we are moving to a more *functional* style using the `pytest <http://docs.pytest.org/en/latest/>`__ framework, which offers a richer testing
+Going forward, we are moving to a more *functional* style using the `pytest <https://docs.pytest.org/en/latest/>`__ framework, which offers a richer testing
framework that will facilitate testing and developing. Thus, instead of writing test classes, we will write test functions like this:
.. code-block:: python
@@ -1257,7 +1257,7 @@ On Windows, one can type::
This can significantly reduce the time it takes to locally run tests before
submitting a pull request.
-For more, see the `pytest <http://docs.pytest.org/en/latest/>`_ documentation.
+For more, see the `pytest <https://docs.pytest.org/en/latest/>`_ documentation.
Furthermore one can run
diff --git a/doc/source/development/contributing_docstring.rst b/doc/source/development/contributing_docstring.rst
index cb32f0e1ee475..649dd37b497b2 100644
--- a/doc/source/development/contributing_docstring.rst
+++ b/doc/source/development/contributing_docstring.rst
@@ -77,8 +77,8 @@ language that allows encoding styles in plain text files. Documentation
about reStructuredText can be found in:
* `Sphinx reStructuredText primer <https://www.sphinx-doc.org/en/stable/rest.html>`_
-* `Quick reStructuredText reference <http://docutils.sourceforge.net/docs/user/rst/quickref.html>`_
-* `Full reStructuredText specification <http://docutils.sourceforge.net/docs/ref/rst/restructuredtext.html>`_
+* `Quick reStructuredText reference <https://docutils.sourceforge.io/docs/user/rst/quickref.html>`_
+* `Full reStructuredText specification <https://docutils.sourceforge.io/docs/ref/rst/restructuredtext.html>`_
Pandas has some helpers for sharing docstrings between related classes, see
:ref:`docstring.sharing`.
diff --git a/doc/source/development/extending.rst b/doc/source/development/extending.rst
index 89d43e8a43825..270f20e8118bc 100644
--- a/doc/source/development/extending.rst
+++ b/doc/source/development/extending.rst
@@ -306,7 +306,7 @@ Subclassing pandas data structures
1. Extensible method chains with :ref:`pipe <basics.pipe>`
- 2. Use *composition*. See `here <http://en.wikipedia.org/wiki/Composition_over_inheritance>`_.
+ 2. Use *composition*. See `here <https://en.wikipedia.org/wiki/Composition_over_inheritance>`_.
3. Extending by :ref:`registering an accessor <extending.register-accessors>`
diff --git a/doc/source/development/maintaining.rst b/doc/source/development/maintaining.rst
index 0d1088cc8a6ca..e65b66fc243c5 100644
--- a/doc/source/development/maintaining.rst
+++ b/doc/source/development/maintaining.rst
@@ -36,7 +36,7 @@ of what it means to be a maintainer.
* Provide experience / wisdom on API design questions to ensure consistency and maintainability
* Project organization (run / attend developer meetings, represent pandas)
-http://matthewrocklin.com/blog/2019/05/18/maintainer may be interesting background
+https://matthewrocklin.com/blog/2019/05/18/maintainer may be interesting background
reading.
.. _maintaining.triage:
@@ -78,7 +78,7 @@ Here's a typical workflow for triaging a newly opened issue.
4. **Is the issue minimal and reproducible**?
For bug reports, we ask that the reporter provide a minimal reproducible
- example. See http://matthewrocklin.com/blog/work/2018/02/28/minimal-bug-reports
+ example. See https://matthewrocklin.com/blog/work/2018/02/28/minimal-bug-reports
for a good explanation. If the example is not reproducible, or if it's
*clearly* not minimal, feel free to ask the reporter if they can provide
and example or simplify the provided one. Do acknowledge that writing
diff --git a/doc/source/ecosystem.rst b/doc/source/ecosystem.rst
index 90f839897ce4b..fb06ee122ae88 100644
--- a/doc/source/ecosystem.rst
+++ b/doc/source/ecosystem.rst
@@ -303,8 +303,8 @@ dimensional arrays, rather than the tabular data for which pandas excels.
Out-of-core
-------------
-`Blaze <http://blaze.pydata.org/>`__
-~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+`Blaze <https://blaze.pydata.org/>`__
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Blaze provides a standard API for doing computations with various
in-memory and on-disk backends: NumPy, Pandas, SQLAlchemy, MongoDB, PyTables,
diff --git a/doc/source/getting_started/comparison/comparison_with_r.rst b/doc/source/getting_started/comparison/comparison_with_r.rst
index f67f46fc2b29b..e1a4cfe49b7d1 100644
--- a/doc/source/getting_started/comparison/comparison_with_r.rst
+++ b/doc/source/getting_started/comparison/comparison_with_r.rst
@@ -6,9 +6,9 @@ Comparison with R / R libraries
*******************************
Since ``pandas`` aims to provide a lot of the data manipulation and analysis
-functionality that people use `R <http://www.r-project.org/>`__ for, this page
+functionality that people use `R <https://www.r-project.org/>`__ for, this page
was started to provide a more detailed look at the `R language
-<http://en.wikipedia.org/wiki/R_(programming_language)>`__ and its many third
+<https://en.wikipedia.org/wiki/R_(programming_language)>`__ and its many third
party libraries as they relate to ``pandas``. In comparisons with R and CRAN
libraries, we care about the following things:
@@ -517,37 +517,37 @@ For more details and examples see :ref:`categorical introduction <categorical>`
.. |c| replace:: ``c``
-.. _c: http://stat.ethz.ch/R-manual/R-patched/library/base/html/c.html
+.. _c: https://stat.ethz.ch/R-manual/R-patched/library/base/html/c.html
.. |aggregate| replace:: ``aggregate``
-.. _aggregate: http://finzi.psych.upenn.edu/R/library/stats/html/aggregate.html
+.. _aggregate: https://stat.ethz.ch/R-manual/R-patched/library/stats/html/aggregate.html
.. |match| replace:: ``match`` / ``%in%``
-.. _match: http://finzi.psych.upenn.edu/R/library/base/html/match.html
+.. _match: https://stat.ethz.ch/R-manual/R-patched/library/base/html/match.html
.. |tapply| replace:: ``tapply``
-.. _tapply: http://finzi.psych.upenn.edu/R/library/base/html/tapply.html
+.. _tapply: https://stat.ethz.ch/R-manual/R-patched/library/base/html/tapply.html
.. |with| replace:: ``with``
-.. _with: http://finzi.psych.upenn.edu/R/library/base/html/with.html
+.. _with: https://stat.ethz.ch/R-manual/R-patched/library/base/html/with.html
.. |subset| replace:: ``subset``
-.. _subset: http://finzi.psych.upenn.edu/R/library/base/html/subset.html
+.. _subset: https://stat.ethz.ch/R-manual/R-patched/library/base/html/subset.html
.. |ddply| replace:: ``ddply``
-.. _ddply: http://www.inside-r.org/packages/cran/plyr/docs/ddply
+.. _ddply: https://cran.r-project.org/web/packages/plyr/plyr.pdf#Rfn.ddply.1
.. |meltarray| replace:: ``melt.array``
-.. _meltarray: http://www.inside-r.org/packages/cran/reshape2/docs/melt.array
+.. _meltarray: https://cran.r-project.org/web/packages/reshape2/reshape2.pdf#Rfn.melt.array.1
.. |meltlist| replace:: ``melt.list``
-.. meltlist: http://www.inside-r.org/packages/cran/reshape2/docs/melt.list
+.. meltlist: https://cran.r-project.org/web/packages/reshape2/reshape2.pdf#Rfn.melt.list.1
.. |meltdf| replace:: ``melt.data.frame``
-.. meltdf: http://www.inside-r.org/packages/cran/reshape2/docs/melt.data.frame
+.. meltdf: https://cran.r-project.org/web/packages/reshape2/reshape2.pdf#Rfn.melt.data.frame.1
.. |cast| replace:: ``cast``
-.. cast: http://www.inside-r.org/packages/cran/reshape2/docs/cast
+.. cast: https://cran.r-project.org/web/packages/reshape2/reshape2.pdf#Rfn.cast.1
.. |factor| replace:: ``factor``
.. _factor: https://stat.ethz.ch/R-manual/R-devel/library/base/html/factor.html
diff --git a/doc/source/getting_started/comparison/comparison_with_stata.rst b/doc/source/getting_started/comparison/comparison_with_stata.rst
index fec6bae1e0330..decf12db77af2 100644
--- a/doc/source/getting_started/comparison/comparison_with_stata.rst
+++ b/doc/source/getting_started/comparison/comparison_with_stata.rst
@@ -673,6 +673,6 @@ Disk vs memory
Pandas and Stata both operate exclusively in memory. This means that the size of
data able to be loaded in pandas is limited by your machine's memory.
If out of core processing is needed, one possibility is the
-`dask.dataframe <http://dask.pydata.org/en/latest/dataframe.html>`_
+`dask.dataframe <https://dask.pydata.org/en/latest/dataframe.html>`_
library, which provides a subset of pandas functionality for an
on-disk ``DataFrame``.
diff --git a/doc/source/getting_started/dsintro.rst b/doc/source/getting_started/dsintro.rst
index 81a2f0ae7d162..5d7c9e405cfc2 100644
--- a/doc/source/getting_started/dsintro.rst
+++ b/doc/source/getting_started/dsintro.rst
@@ -609,7 +609,7 @@ union of the column and row labels.
When doing an operation between DataFrame and Series, the default behavior is
to align the Series **index** on the DataFrame **columns**, thus `broadcasting
-<http://docs.scipy.org/doc/numpy/user/basics.broadcasting.html>`__
+<https://docs.scipy.org/doc/numpy/user/basics.broadcasting.html>`__
row-wise. For example:
.. ipython:: python
diff --git a/doc/source/getting_started/install.rst b/doc/source/getting_started/install.rst
index b3fd443e662a9..0742505a46849 100644
--- a/doc/source/getting_started/install.rst
+++ b/doc/source/getting_started/install.rst
@@ -7,13 +7,13 @@ Installation
============
The easiest way to install pandas is to install it
-as part of the `Anaconda <http://docs.continuum.io/anaconda/>`__ distribution, a
+as part of the `Anaconda <https://docs.continuum.io/anaconda/>`__ distribution, a
cross platform distribution for data analysis and scientific computing.
This is the recommended installation method for most users.
Instructions for installing from source,
`PyPI <https://pypi.org/project/pandas>`__, `ActivePython <https://www.activestate.com/activepython/downloads>`__, various Linux distributions, or a
-`development version <http://github.com/pandas-dev/pandas>`__ are also provided.
+`development version <https://github.com/pandas-dev/pandas>`__ are also provided.
Python version support
----------------------
@@ -28,28 +28,28 @@ Installing pandas
Installing with Anaconda
~~~~~~~~~~~~~~~~~~~~~~~~
-Installing pandas and the rest of the `NumPy <http://www.numpy.org/>`__ and
-`SciPy <http://www.scipy.org/>`__ stack can be a little
+Installing pandas and the rest of the `NumPy <https://www.numpy.org/>`__ and
+`SciPy <https://www.scipy.org/>`__ stack can be a little
difficult for inexperienced users.
The simplest way to install not only pandas, but Python and the most popular
-packages that make up the `SciPy <http://www.scipy.org/>`__ stack
-(`IPython <http://ipython.org/>`__, `NumPy <http://www.numpy.org/>`__,
-`Matplotlib <http://matplotlib.org/>`__, ...) is with
-`Anaconda <http://docs.continuum.io/anaconda/>`__, a cross-platform
+packages that make up the `SciPy <https://www.scipy.org/>`__ stack
+(`IPython <https://ipython.org/>`__, `NumPy <https://www.numpy.org/>`__,
+`Matplotlib <https://matplotlib.org/>`__, ...) is with
+`Anaconda <https://docs.continuum.io/anaconda/>`__, a cross-platform
(Linux, Mac OS X, Windows) Python distribution for data analytics and
scientific computing.
After running the installer, the user will have access to pandas and the
-rest of the `SciPy <http://www.scipy.org/>`__ stack without needing to install
+rest of the `SciPy <https://www.scipy.org/>`__ stack without needing to install
anything else, and without needing to wait for any software to be compiled.
-Installation instructions for `Anaconda <http://docs.continuum.io/anaconda/>`__
-`can be found here <http://docs.continuum.io/anaconda/install.html>`__.
+Installation instructions for `Anaconda <https://docs.continuum.io/anaconda/>`__
+`can be found here <https://docs.continuum.io/anaconda/install.html>`__.
A full list of the packages available as part of the
-`Anaconda <http://docs.continuum.io/anaconda/>`__ distribution
-`can be found here <http://docs.continuum.io/anaconda/pkg-docs.html>`__.
+`Anaconda <https://docs.continuum.io/anaconda/>`__ distribution
+`can be found here <https://docs.continuum.io/anaconda/packages/pkg-docs/>`__.
Another advantage to installing Anaconda is that you don't need
admin rights to install it. Anaconda can install in the user's home directory,
@@ -62,28 +62,28 @@ Installing with Miniconda
~~~~~~~~~~~~~~~~~~~~~~~~~
The previous section outlined how to get pandas installed as part of the
-`Anaconda <http://docs.continuum.io/anaconda/>`__ distribution.
+`Anaconda <https://docs.continuum.io/anaconda/>`__ distribution.
However this approach means you will install well over one hundred packages
and involves downloading the installer which is a few hundred megabytes in size.
If you want to have more control on which packages, or have a limited internet
bandwidth, then installing pandas with
-`Miniconda <http://conda.pydata.org/miniconda.html>`__ may be a better solution.
+`Miniconda <https://conda.pydata.org/miniconda.html>`__ may be a better solution.
-`Conda <http://conda.pydata.org/docs/>`__ is the package manager that the
-`Anaconda <http://docs.continuum.io/anaconda/>`__ distribution is built upon.
+`Conda <https://conda.pydata.org/docs/>`__ is the package manager that the
+`Anaconda <https://docs.continuum.io/anaconda/>`__ distribution is built upon.
It is a package manager that is both cross-platform and language agnostic
(it can play a similar role to a pip and virtualenv combination).
-`Miniconda <http://conda.pydata.org/miniconda.html>`__ allows you to create a
+`Miniconda <https://conda.pydata.org/miniconda.html>`__ allows you to create a
minimal self contained Python installation, and then use the
-`Conda <http://conda.pydata.org/docs/>`__ command to install additional packages.
+`Conda <https://conda.pydata.org/docs/>`__ command to install additional packages.
-First you will need `Conda <http://conda.pydata.org/docs/>`__ to be installed and
+First you will need `Conda <https://conda.pydata.org/docs/>`__ to be installed and
downloading and running the `Miniconda
-<http://conda.pydata.org/miniconda.html>`__
+<https://conda.pydata.org/miniconda.html>`__
will do this for you. The installer
-`can be found here <http://conda.pydata.org/miniconda.html>`__
+`can be found here <https://conda.pydata.org/miniconda.html>`__
The next step is to create a new conda environment. A conda environment is like a
virtualenv that allows you to specify a specific version of Python and set of libraries.
@@ -113,7 +113,7 @@ To install other packages, IPython for example::
conda install ipython
-To install the full `Anaconda <http://docs.continuum.io/anaconda/>`__
+To install the full `Anaconda <https://docs.continuum.io/anaconda/>`__
distribution::
conda install anaconda
@@ -153,10 +153,10 @@ To install pandas for Python 2, you may need to use the ``python-pandas`` packag
:widths: 10, 10, 20, 50
- Debian, stable, `official Debian repository <http://packages.debian.org/search?keywords=pandas&searchon=names&suite=all§ion=all>`__ , ``sudo apt-get install python3-pandas``
+ Debian, stable, `official Debian repository <https://packages.debian.org/search?keywords=pandas&searchon=names&suite=all§ion=all>`__ , ``sudo apt-get install python3-pandas``
Debian & Ubuntu, unstable (latest packages), `NeuroDebian <http://neuro.debian.net/index.html#how-to-use-this-repository>`__ , ``sudo apt-get install python3-pandas``
- Ubuntu, stable, `official Ubuntu repository <http://packages.ubuntu.com/search?keywords=pandas&searchon=names&suite=all§ion=all>`__ , ``sudo apt-get install python3-pandas``
- OpenSuse, stable, `OpenSuse Repository <http://software.opensuse.org/package/python-pandas?search_term=pandas>`__ , ``zypper in python3-pandas``
+ Ubuntu, stable, `official Ubuntu repository <https://packages.ubuntu.com/search?keywords=pandas&searchon=names&suite=all§ion=all>`__ , ``sudo apt-get install python3-pandas``
+ OpenSuse, stable, `OpenSuse Repository <https://software.opensuse.org/package/python-pandas?search_term=pandas>`__ , ``zypper in python3-pandas``
Fedora, stable, `official Fedora repository <https://admin.fedoraproject.org/pkgdb/package/rpms/python-pandas/>`__ , ``dnf install python3-pandas``
Centos/RHEL, stable, `EPEL repository <https://admin.fedoraproject.org/pkgdb/package/rpms/python-pandas/>`__ , ``yum install python3-pandas``
@@ -177,7 +177,7 @@ pandas is equipped with an exhaustive set of unit tests, covering about 97% of
the code base as of this writing. To run it on your machine to verify that
everything is working (and that you have all of the dependencies, soft and hard,
installed), make sure you have `pytest
-<http://docs.pytest.org/en/latest/>`__ >= 5.0.1 and `Hypothesis
+<https://docs.pytest.org/en/latest/>`__ >= 5.0.1 and `Hypothesis
<https://hypothesis.readthedocs.io/>`__ >= 3.58, then run:
::
@@ -204,9 +204,9 @@ Dependencies
Package Minimum supported version
================================================================ ==========================
`setuptools <https://setuptools.readthedocs.io/en/latest/>`__ 24.2.0
-`NumPy <http://www.numpy.org>`__ 1.13.3
+`NumPy <https://www.numpy.org>`__ 1.13.3
`python-dateutil <https://dateutil.readthedocs.io/en/stable/>`__ 2.6.1
-`pytz <http://pytz.sourceforge.net/>`__ 2017.2
+`pytz <https://pypi.org/project/pytz/>`__ 2017.2
================================================================ ==========================
.. _install.recommended_dependencies:
@@ -302,6 +302,6 @@ top-level :func:`~pandas.read_html` function:
usage of the above three libraries.
.. _html5lib: https://github.com/html5lib/html5lib-python
-.. _BeautifulSoup4: http://www.crummy.com/software/BeautifulSoup
-.. _lxml: http://lxml.de
+.. _BeautifulSoup4: https://www.crummy.com/software/BeautifulSoup
+.. _lxml: https://lxml.de
.. _tabulate: https://github.com/astanin/python-tabulate
diff --git a/doc/source/getting_started/tutorials.rst b/doc/source/getting_started/tutorials.rst
index 1ed0e8f635b58..434d791474807 100644
--- a/doc/source/getting_started/tutorials.rst
+++ b/doc/source/getting_started/tutorials.rst
@@ -23,12 +23,12 @@ Community guides
pandas Cookbook by Julia Evans
------------------------------
-The goal of this 2015 cookbook (by `Julia Evans <http://jvns.ca>`_) is to
+The goal of this 2015 cookbook (by `Julia Evans <https://jvns.ca>`_) is to
give you some concrete examples for getting started with pandas. These
are examples with real-world data, and all the bugs and weirdness that
entails.
For the table of contents, see the `pandas-cookbook GitHub
-repository <http://github.com/jvns/pandas-cookbook>`_.
+repository <https://github.com/jvns/pandas-cookbook>`_.
Learn Pandas by Hernan Rojas
----------------------------
@@ -38,10 +38,10 @@ A set of lesson for new pandas users: https://bitbucket.org/hrojas/learn-pandas
Practical data analysis with Python
-----------------------------------
-This `guide <http://wavedatalab.github.io/datawithpython>`_ is an introduction to the data analysis process using the Python data ecosystem and an interesting open dataset.
-There are four sections covering selected topics as `munging data <http://wavedatalab.github.io/datawithpython/munge.html>`__,
-`aggregating data <http://wavedatalab.github.io/datawithpython/aggregate.html>`_, `visualizing data <http://wavedatalab.github.io/datawithpython/visualize.html>`_
-and `time series <http://wavedatalab.github.io/datawithpython/timeseries.html>`_.
+This `guide <https://wavedatalab.github.io/datawithpython>`_ is an introduction to the data analysis process using the Python data ecosystem and an interesting open dataset.
+There are four sections covering selected topics as `munging data <https://wavedatalab.github.io/datawithpython/munge.html>`__,
+`aggregating data <https://wavedatalab.github.io/datawithpython/aggregate.html>`_, `visualizing data <https://wavedatalab.github.io/datawithpython/visualize.html>`_
+and `time series <https://wavedatalab.github.io/datawithpython/timeseries.html>`_.
.. _tutorial-exercises-new-users:
@@ -61,13 +61,13 @@ Tutorial series written in 2016 by
The source may be found in the GitHub repository
`TomAugspurger/effective-pandas <https://github.com/TomAugspurger/effective-pandas>`_.
-* `Modern Pandas <http://tomaugspurger.github.io/modern-1-intro.html>`_
-* `Method Chaining <http://tomaugspurger.github.io/method-chaining.html>`_
-* `Indexes <http://tomaugspurger.github.io/modern-3-indexes.html>`_
-* `Performance <http://tomaugspurger.github.io/modern-4-performance.html>`_
-* `Tidy Data <http://tomaugspurger.github.io/modern-5-tidy.html>`_
-* `Visualization <http://tomaugspurger.github.io/modern-6-visualization.html>`_
-* `Timeseries <http://tomaugspurger.github.io/modern-7-timeseries.html>`_
+* `Modern Pandas <https://tomaugspurger.github.io/modern-1-intro.html>`_
+* `Method Chaining <https://tomaugspurger.github.io/method-chaining.html>`_
+* `Indexes <https://tomaugspurger.github.io/modern-3-indexes.html>`_
+* `Performance <https://tomaugspurger.github.io/modern-4-performance.html>`_
+* `Tidy Data <https://tomaugspurger.github.io/modern-5-tidy.html>`_
+* `Visualization <https://tomaugspurger.github.io/modern-6-visualization.html>`_
+* `Timeseries <https://tomaugspurger.github.io/modern-7-timeseries.html>`_
Excel charts with pandas, vincent and xlsxwriter
------------------------------------------------
@@ -89,21 +89,21 @@ Video tutorials
* `Data analysis in Python with pandas <https://www.youtube.com/playlist?list=PL5-da3qGB5ICCsgW1MxlZ0Hq8LL5U3u9y>`_
(2016-2018)
`GitHub repo <https://github.com/justmarkham/pandas-videos>`__ and
- `Jupyter Notebook <http://nbviewer.jupyter.org/github/justmarkham/pandas-videos/blob/master/pandas.ipynb>`__
+ `Jupyter Notebook <https://nbviewer.jupyter.org/github/justmarkham/pandas-videos/blob/master/pandas.ipynb>`__
* `Best practices with pandas <https://www.youtube.com/playlist?list=PL5-da3qGB5IBITZj_dYSFqnd_15JgqwA6>`_
(2018)
`GitHub repo <https://github.com/justmarkham/pycon-2018-tutorial>`__ and
- `Jupyter Notebook <http://nbviewer.jupyter.org/github/justmarkham/pycon-2018-tutorial/blob/master/tutorial.ipynb>`__
+ `Jupyter Notebook <https://nbviewer.jupyter.org/github/justmarkham/pycon-2018-tutorial/blob/master/tutorial.ipynb>`__
Various tutorials
-----------------
-* `Wes McKinney's (pandas BDFL) blog <http://blog.wesmckinney.com/>`_
+* `Wes McKinney's (pandas BDFL) blog <https://wesmckinney.com/archives.html>`_
* `Statistical analysis made easy in Python with SciPy and pandas DataFrames, by Randal Olson <http://www.randalolson.com/2012/08/06/statistical-analysis-made-easy-in-python/>`_
-* `Statistical Data Analysis in Python, tutorial videos, by Christopher Fonnesbeck from SciPy 2013 <http://conference.scipy.org/scipy2013/tutorial_detail.php?id=109>`_
-* `Financial analysis in Python, by Thomas Wiecki <http://nbviewer.ipython.org/github/twiecki/financial-analysis-python-tutorial/blob/master/1.%20Pandas%20Basics.ipynb>`_
+* `Statistical Data Analysis in Python, tutorial videos, by Christopher Fonnesbeck from SciPy 2013 <https://conference.scipy.org/scipy2013/tutorial_detail.php?id=109>`_
+* `Financial analysis in Python, by Thomas Wiecki <https://nbviewer.ipython.org/github/twiecki/financial-analysis-python-tutorial/blob/master/1.%20Pandas%20Basics.ipynb>`_
* `Intro to pandas data structures, by Greg Reda <http://www.gregreda.com/2013/10/26/intro-to-pandas-data-structures/>`_
-* `Pandas and Python: Top 10, by Manish Amde <http://manishamde.github.io/blog/2013/03/07/pandas-and-python-top-10/>`_
-* `Pandas DataFrames Tutorial, by Karlijn Willems <http://www.datacamp.com/community/tutorials/pandas-tutorial-dataframe-python>`_
+* `Pandas and Python: Top 10, by Manish Amde <https://manishamde.github.io/blog/2013/03/07/pandas-and-python-top-10/>`_
+* `Pandas DataFrames Tutorial, by Karlijn Willems <https://www.datacamp.com/community/tutorials/pandas-tutorial-dataframe-python>`_
* `A concise tutorial with real life examples <https://tutswiki.com/pandas-cookbook/chapter1>`_
diff --git a/doc/source/user_guide/computation.rst b/doc/source/user_guide/computation.rst
index aeb32db639ffb..9951642ca98a4 100644
--- a/doc/source/user_guide/computation.rst
+++ b/doc/source/user_guide/computation.rst
@@ -58,7 +58,7 @@ series in the DataFrame, also excluding NA/null values.
is not guaranteed to be positive semi-definite. This could lead to
estimated correlations having absolute values which are greater than one,
and/or a non-invertible covariance matrix. See `Estimation of covariance
- matrices <http://en.wikipedia.org/w/index.php?title=Estimation_of_covariance_matrices>`_
+ matrices <https://en.wikipedia.org/w/index.php?title=Estimation_of_covariance_matrices>`_
for more details.
.. ipython:: python
@@ -346,7 +346,7 @@ if installed as an optional dependency. The apply aggregation can be executed us
``engine='numba'`` and ``engine_kwargs`` arguments (``raw`` must also be set to ``True``).
Numba will be applied in potentially two routines:
-1. If ``func`` is a standard Python function, the engine will `JIT <http://numba.pydata.org/numba-doc/latest/user/overview.html>`__
+1. If ``func`` is a standard Python function, the engine will `JIT <https://numba.pydata.org/numba-doc/latest/user/overview.html>`__
the passed function. ``func`` can also be a JITed function in which case the engine will not JIT the function again.
2. The engine will JIT the for loop where the apply function is applied to each window.
@@ -1064,5 +1064,5 @@ are scaled by debiasing factors
(For :math:`w_i = 1`, this reduces to the usual :math:`N / (N - 1)` factor,
with :math:`N = t + 1`.)
-See `Weighted Sample Variance <http://en.wikipedia.org/wiki/Weighted_arithmetic_mean#Weighted_sample_variance>`__
+See `Weighted Sample Variance <https://en.wikipedia.org/wiki/Weighted_arithmetic_mean#Weighted_sample_variance>`__
on Wikipedia for further details.
diff --git a/doc/source/user_guide/cookbook.rst b/doc/source/user_guide/cookbook.rst
index f581d183b9413..4afdb14e5c39e 100644
--- a/doc/source/user_guide/cookbook.rst
+++ b/doc/source/user_guide/cookbook.rst
@@ -927,7 +927,7 @@ CSV
The :ref:`CSV <io.read_csv_table>` docs
-`read_csv in action <http://wesmckinney.com/blog/update-on-upcoming-pandas-v0-10-new-file-parser-other-performance-wins/>`__
+`read_csv in action <https://wesmckinney.com/blog/update-on-upcoming-pandas-v0-10-new-file-parser-other-performance-wins/>`__
`appending to a csv
<https://stackoverflow.com/questions/17134942/pandas-dataframe-output-end-of-csv>`__
@@ -951,7 +951,7 @@ using that handle to read.
<https://stackoverflow.com/questions/15555005/get-inferred-dataframe-types-iteratively-using-chunksize>`__
`Dealing with bad lines
-<http://github.com/pandas-dev/pandas/issues/2886>`__
+<https://github.com/pandas-dev/pandas/issues/2886>`__
`Dealing with bad lines II
<http://nipunbatra.github.io/2013/06/reading-unclean-data-csv-using-pandas/>`__
@@ -1082,7 +1082,7 @@ The :ref:`Excel <io.excel>` docs
<https://stackoverflow.com/questions/15588713/sheets-of-excel-workbook-from-a-url-into-a-pandas-dataframe>`__
`Modifying formatting in XlsxWriter output
-<http://pbpython.com/improve-pandas-excel-output.html>`__
+<https://pbpython.com/improve-pandas-excel-output.html>`__
.. _cookbook.html:
@@ -1103,7 +1103,7 @@ The :ref:`HDFStores <io.hdf5>` docs
<https://stackoverflow.com/questions/13926089/selecting-columns-from-pandas-hdfstore-table>`__
`Managing heterogeneous data using a linked multiple table hierarchy
-<http://github.com/pandas-dev/pandas/issues/3032>`__
+<https://github.com/pandas-dev/pandas/issues/3032>`__
`Merging on-disk tables with millions of rows
<https://stackoverflow.com/questions/14614512/merging-two-tables-with-millions-of-rows-in-python/14617925#14617925>`__
@@ -1236,7 +1236,7 @@ Computation
-----------
`Numerical integration (sample-based) of a time series
-<http://nbviewer.ipython.org/5720498>`__
+<https://nbviewer.ipython.org/5720498>`__
Correlation
***********
@@ -1284,7 +1284,7 @@ Timedeltas
The :ref:`Timedeltas <timedeltas.timedeltas>` docs.
`Using timedeltas
-<http://github.com/pandas-dev/pandas/pull/2899>`__
+<https://github.com/pandas-dev/pandas/pull/2899>`__
.. ipython:: python
diff --git a/doc/source/user_guide/enhancingperf.rst b/doc/source/user_guide/enhancingperf.rst
index 2df5b9d82dcc3..10dce7ee801bf 100644
--- a/doc/source/user_guide/enhancingperf.rst
+++ b/doc/source/user_guide/enhancingperf.rst
@@ -20,7 +20,7 @@ Cython (writing C extensions for pandas)
For many use cases writing pandas in pure Python and NumPy is sufficient. In some
computationally heavy applications however, it can be possible to achieve sizable
-speed-ups by offloading work to `cython <http://cython.org/>`__.
+speed-ups by offloading work to `cython <https://cython.org/>`__.
This tutorial assumes you have refactored as much as possible in Python, for example
by trying to remove for-loops and making use of NumPy vectorization. It's always worth
@@ -69,7 +69,7 @@ We achieve our result by using ``apply`` (row-wise):
But clearly this isn't fast enough for us. Let's take a look and see where the
time is spent during this operation (limited to the most time consuming
-four calls) using the `prun ipython magic function <http://ipython.org/ipython-doc/stable/api/generated/IPython.core.magics.execution.html#IPython.core.magics.execution.ExecutionMagics.prun>`__:
+four calls) using the `prun ipython magic function <https://ipython.readthedocs.io/en/stable/interactive/magics.html#magic-prun>`__:
.. ipython:: python
@@ -298,7 +298,7 @@ advanced Cython techniques:
Even faster, with the caveat that a bug in our Cython code (an off-by-one error,
for example) might cause a segfault because memory access isn't checked.
For more about ``boundscheck`` and ``wraparound``, see the Cython docs on
-`compiler directives <http://cython.readthedocs.io/en/latest/src/reference/compilation.html?highlight=wraparound#compiler-directives>`__.
+`compiler directives <https://cython.readthedocs.io/en/latest/src/reference/compilation.html?highlight=wraparound#compiler-directives>`__.
.. _enhancingperf.numba:
@@ -423,9 +423,9 @@ prefer that Numba throw an error if it cannot compile a function in a way that
speeds up your code, pass Numba the argument
``nopython=True`` (e.g. ``@numba.jit(nopython=True)``). For more on
troubleshooting Numba modes, see the `Numba troubleshooting page
-<http://numba.pydata.org/numba-doc/latest/user/troubleshoot.html#the-compiled-code-is-too-slow>`__.
+<https://numba.pydata.org/numba-doc/latest/user/troubleshoot.html#the-compiled-code-is-too-slow>`__.
-Read more in the `Numba docs <http://numba.pydata.org/>`__.
+Read more in the `Numba docs <https://numba.pydata.org/>`__.
.. _enhancingperf.eval:
diff --git a/doc/source/user_guide/io.rst b/doc/source/user_guide/io.rst
index e776da016d5d7..2023d8cbecd9f 100644
--- a/doc/source/user_guide/io.rst
+++ b/doc/source/user_guide/io.rst
@@ -4237,12 +4237,12 @@ control compression: ``complevel`` and ``complib``.
- `lzo <https://www.oberhumer.com/opensource/lzo/>`_: Fast
compression and decompression.
- `bzip2 <http://bzip.org/>`_: Good compression rates.
- - `blosc <http://www.blosc.org/>`_: Fast compression and
+ - `blosc <https://www.blosc.org/>`_: Fast compression and
decompression.
Support for alternative blosc compressors:
- - `blosc:blosclz <http://www.blosc.org/>`_ This is the
+ - `blosc:blosclz <https://www.blosc.org/>`_ This is the
default compressor for ``blosc``
- `blosc:lz4
<https://fastcompression.blogspot.dk/p/lz4.html>`_:
@@ -4996,7 +4996,7 @@ Possible values are:
like *Presto* and *Redshift*, but has worse performance for
traditional SQL backend if the table contains many columns.
For more information check the SQLAlchemy `documention
- <http://docs.sqlalchemy.org/en/latest/core/dml.html#sqlalchemy.sql.expression.Insert.values.params.*args>`__.
+ <https://docs.sqlalchemy.org/en/latest/core/dml.html#sqlalchemy.sql.expression.Insert.values.params.*args>`__.
- callable with signature ``(pd_table, conn, keys, data_iter)``:
This can be used to implement a more performant insertion method based on
specific backend dialect features.
diff --git a/doc/source/user_guide/missing_data.rst b/doc/source/user_guide/missing_data.rst
index 0f55980b3d015..f15a4e0054798 100644
--- a/doc/source/user_guide/missing_data.rst
+++ b/doc/source/user_guide/missing_data.rst
@@ -467,9 +467,9 @@ at the new values.
interp_s = ser.reindex(new_index).interpolate(method='pchip')
interp_s[49:51]
-.. _scipy: http://www.scipy.org
-.. _documentation: http://docs.scipy.org/doc/scipy/reference/interpolate.html#univariate-interpolation
-.. _guide: http://docs.scipy.org/doc/scipy/reference/tutorial/interpolate.html
+.. _scipy: https://www.scipy.org
+.. _documentation: https://docs.scipy.org/doc/scipy/reference/interpolate.html#univariate-interpolation
+.. _guide: https://docs.scipy.org/doc/scipy/reference/tutorial/interpolate.html
.. _missing_data.interp_limits:
diff --git a/doc/source/user_guide/style.ipynb b/doc/source/user_guide/style.ipynb
index 02550eab86913..1f2f8818c8458 100644
--- a/doc/source/user_guide/style.ipynb
+++ b/doc/source/user_guide/style.ipynb
@@ -6,7 +6,7 @@
"source": [
"# Styling\n",
"\n",
- "This document is written as a Jupyter Notebook, and can be viewed or downloaded [here](http://nbviewer.ipython.org/github/pandas-dev/pandas/blob/master/doc/source/user_guide/style.ipynb).\n",
+ "This document is written as a Jupyter Notebook, and can be viewed or downloaded [here](https://nbviewer.ipython.org/github/pandas-dev/pandas/blob/master/doc/source/user_guide/style.ipynb).\n",
"\n",
"You can apply **conditional formatting**, the visual styling of a DataFrame\n",
"depending on the data within, by using the ``DataFrame.style`` property.\n",
@@ -462,7 +462,7 @@
"cell_type": "markdown",
"metadata": {},
"source": [
- "You can create \"heatmaps\" with the `background_gradient` method. These require matplotlib, and we'll use [Seaborn](http://stanford.edu/~mwaskom/software/seaborn/) to get a nice colormap."
+ "You can create \"heatmaps\" with the `background_gradient` method. These require matplotlib, and we'll use [Seaborn](https://stanford.edu/~mwaskom/software/seaborn/) to get a nice colormap."
]
},
{
diff --git a/doc/source/user_guide/visualization.rst b/doc/source/user_guide/visualization.rst
index 39051440e9d9a..6680ba854cb6f 100644
--- a/doc/source/user_guide/visualization.rst
+++ b/doc/source/user_guide/visualization.rst
@@ -264,7 +264,7 @@ horizontal and cumulative histograms can be drawn by
plt.close('all')
See the :meth:`hist <matplotlib.axes.Axes.hist>` method and the
-`matplotlib hist documentation <http://matplotlib.org/api/pyplot_api.html#matplotlib.pyplot.hist>`__ for more.
+`matplotlib hist documentation <https://matplotlib.org/api/pyplot_api.html#matplotlib.pyplot.hist>`__ for more.
The existing interface ``DataFrame.hist`` to plot histogram still can be used.
@@ -370,7 +370,7 @@ For example, horizontal and custom-positioned boxplot can be drawn by
See the :meth:`boxplot <matplotlib.axes.Axes.boxplot>` method and the
-`matplotlib boxplot documentation <http://matplotlib.org/api/pyplot_api.html#matplotlib.pyplot.boxplot>`__ for more.
+`matplotlib boxplot documentation <https://matplotlib.org/api/pyplot_api.html#matplotlib.pyplot.boxplot>`__ for more.
The existing interface ``DataFrame.boxplot`` to plot boxplot still can be used.
@@ -591,7 +591,7 @@ bubble chart using a column of the ``DataFrame`` as the bubble size.
plt.close('all')
See the :meth:`scatter <matplotlib.axes.Axes.scatter>` method and the
-`matplotlib scatter documentation <http://matplotlib.org/api/pyplot_api.html#matplotlib.pyplot.scatter>`__ for more.
+`matplotlib scatter documentation <https://matplotlib.org/api/pyplot_api.html#matplotlib.pyplot.scatter>`__ for more.
.. _visualization.hexbin:
@@ -651,7 +651,7 @@ given by column ``z``. The bins are aggregated with NumPy's ``max`` function.
plt.close('all')
See the :meth:`hexbin <matplotlib.axes.Axes.hexbin>` method and the
-`matplotlib hexbin documentation <http://matplotlib.org/api/pyplot_api.html#matplotlib.pyplot.hexbin>`__ for more.
+`matplotlib hexbin documentation <https://matplotlib.org/api/pyplot_api.html#matplotlib.pyplot.hexbin>`__ for more.
.. _visualization.pie:
@@ -749,7 +749,7 @@ If you pass values whose sum total is less than 1.0, matplotlib draws a semicirc
@savefig series_pie_plot_semi.png
series.plot.pie(figsize=(6, 6))
-See the `matplotlib pie documentation <http://matplotlib.org/api/pyplot_api.html#matplotlib.pyplot.pie>`__ for more.
+See the `matplotlib pie documentation <https://matplotlib.org/api/pyplot_api.html#matplotlib.pyplot.pie>`__ for more.
.. ipython:: python
:suppress:
@@ -1267,7 +1267,7 @@ tick locator methods, it is useful to call the automatic
date tick adjustment from matplotlib for figures whose ticklabels overlap.
See the :meth:`autofmt_xdate <matplotlib.figure.autofmt_xdate>` method and the
-`matplotlib documentation <http://matplotlib.org/users/recipes.html#fixing-common-date-annoyances>`__ for more.
+`matplotlib documentation <https://matplotlib.org/users/recipes.html#fixing-common-date-annoyances>`__ for more.
Subplots
~~~~~~~~
@@ -1476,7 +1476,7 @@ as seen in the example below.
There also exists a helper function ``pandas.plotting.table``, which creates a
table from :class:`DataFrame` or :class:`Series`, and adds it to an
``matplotlib.Axes`` instance. This function can accept keywords which the
-matplotlib `table <http://matplotlib.org/api/axes_api.html#matplotlib.axes.Axes.table>`__ has.
+matplotlib `table <https://matplotlib.org/api/axes_api.html#matplotlib.axes.Axes.table>`__ has.
.. ipython:: python
@@ -1494,7 +1494,7 @@ matplotlib `table <http://matplotlib.org/api/axes_api.html#matplotlib.axes.Axes.
plt.close('all')
-**Note**: You can get table instances on the axes using ``axes.tables`` property for further decorations. See the `matplotlib table documentation <http://matplotlib.org/api/axes_api.html#matplotlib.axes.Axes.table>`__ for more.
+**Note**: You can get table instances on the axes using ``axes.tables`` property for further decorations. See the `matplotlib table documentation <https://matplotlib.org/api/axes_api.html#matplotlib.axes.Axes.table>`__ for more.
.. _visualization.colormaps:
@@ -1504,7 +1504,7 @@ Colormaps
A potential issue when plotting a large number of columns is that it can be
difficult to distinguish some series due to repetition in the default colors. To
remedy this, ``DataFrame`` plotting supports the use of the ``colormap`` argument,
-which accepts either a Matplotlib `colormap <http://matplotlib.org/api/cm_api.html>`__
+which accepts either a Matplotlib `colormap <https://matplotlib.org/api/cm_api.html>`__
or a string that is a name of a colormap registered with Matplotlib. A
visualization of the default matplotlib colormaps is available `here
<https://matplotlib.org/examples/color/colormaps_reference.html>`__.
diff --git a/doc/source/whatsnew/index.rst b/doc/source/whatsnew/index.rst
index bc463d0ab22d8..a8bd5c401fa5b 100644
--- a/doc/source/whatsnew/index.rst
+++ b/doc/source/whatsnew/index.rst
@@ -7,7 +7,7 @@ Release Notes
*************
This is the list of changes to pandas between each release. For full details,
-see the commit logs at http://github.com/pandas-dev/pandas. For install and
+see the commit logs at https://github.com/pandas-dev/pandas. For install and
upgrade instructions, see :ref:`install`.
Version 1.1
diff --git a/pandas/_libs/intervaltree.pxi.in b/pandas/_libs/intervaltree.pxi.in
index d09413bfa5210..a8728050f8071 100644
--- a/pandas/_libs/intervaltree.pxi.in
+++ b/pandas/_libs/intervaltree.pxi.in
@@ -26,7 +26,7 @@ cdef class IntervalTree(IntervalMixin):
"""A centered interval tree
Based off the algorithm described on Wikipedia:
- http://en.wikipedia.org/wiki/Interval_tree
+ https://en.wikipedia.org/wiki/Interval_tree
we are emulating the IndexEngine interface
"""
diff --git a/pandas/_libs/src/klib/khash.h b/pandas/_libs/src/klib/khash.h
index bcf6350aa9090..916838d1e9584 100644
--- a/pandas/_libs/src/klib/khash.h
+++ b/pandas/_libs/src/klib/khash.h
@@ -53,7 +53,7 @@ int main() {
speed for simple keys. Thank Zilong Tan for the suggestion. Reference:
- https://github.com/stefanocasazza/ULib
- - http://nothings.org/computer/judy/
+ - https://nothings.org/computer/judy/
* Allow to optionally use linear probing which usually has better
performance for random input. Double hashing is still the default as it
diff --git a/pandas/_libs/src/skiplist.h b/pandas/_libs/src/skiplist.h
index 60c1a56727777..1679ced174f29 100644
--- a/pandas/_libs/src/skiplist.h
+++ b/pandas/_libs/src/skiplist.h
@@ -10,7 +10,7 @@ Flexibly-sized, index-able skiplist data structure for maintaining a sorted
list of values
Port of Wes McKinney's Cython version of Raymond Hettinger's original pure
-Python recipe (http://rhettinger.wordpress.com/2010/02/06/lost-knowledge/)
+Python recipe (https://rhettinger.wordpress.com/2010/02/06/lost-knowledge/)
*/
#ifndef PANDAS__LIBS_SRC_SKIPLIST_H_
diff --git a/pandas/_libs/src/ujson/lib/ultrajson.h b/pandas/_libs/src/ujson/lib/ultrajson.h
index 8d04874b4c9bf..b40ac9856d6a6 100644
--- a/pandas/_libs/src/ujson/lib/ultrajson.h
+++ b/pandas/_libs/src/ujson/lib/ultrajson.h
@@ -30,7 +30,7 @@ Portions of code from MODP_ASCII - Ascii transformations (upper/lower, etc)
Copyright (c) 2007 Nick Galbreath -- nickg [at] modp [dot] com. All rights reserved.
Numeric decoder derived from from TCL library
-http://www.opensource.apple.com/source/tcl/tcl-14/tcl/license.terms
+https://www.opensource.apple.com/source/tcl/tcl-14/tcl/license.terms
* Copyright (c) 1988-1993 The Regents of the University of California.
* Copyright (c) 1994 Sun Microsystems, Inc.
*/
diff --git a/pandas/_libs/src/ujson/lib/ultrajsondec.c b/pandas/_libs/src/ujson/lib/ultrajsondec.c
index 4eb18ee13d70b..36eb170f8048f 100644
--- a/pandas/_libs/src/ujson/lib/ultrajsondec.c
+++ b/pandas/_libs/src/ujson/lib/ultrajsondec.c
@@ -33,7 +33,7 @@ Copyright (c) 2007 Nick Galbreath -- nickg [at] modp [dot] com. All rights
reserved.
Numeric decoder derived from from TCL library
-http://www.opensource.apple.com/source/tcl/tcl-14/tcl/license.terms
+https://www.opensource.apple.com/source/tcl/tcl-14/tcl/license.terms
* Copyright (c) 1988-1993 The Regents of the University of California.
* Copyright (c) 1994 Sun Microsystems, Inc.
*/
diff --git a/pandas/_libs/src/ujson/lib/ultrajsonenc.c b/pandas/_libs/src/ujson/lib/ultrajsonenc.c
index 51c9b9244ecfc..065e3b2c60cf9 100644
--- a/pandas/_libs/src/ujson/lib/ultrajsonenc.c
+++ b/pandas/_libs/src/ujson/lib/ultrajsonenc.c
@@ -33,7 +33,7 @@ Copyright (c) 2007 Nick Galbreath -- nickg [at] modp [dot] com. All rights
reserved.
Numeric decoder derived from from TCL library
-http://www.opensource.apple.com/source/tcl/tcl-14/tcl/license.terms
+https://www.opensource.apple.com/source/tcl/tcl-14/tcl/license.terms
* Copyright (c) 1988-1993 The Regents of the University of California.
* Copyright (c) 1994 Sun Microsystems, Inc.
*/
diff --git a/pandas/_libs/src/ujson/python/JSONtoObj.c b/pandas/_libs/src/ujson/python/JSONtoObj.c
index b2fc788478864..3db10237b2688 100644
--- a/pandas/_libs/src/ujson/python/JSONtoObj.c
+++ b/pandas/_libs/src/ujson/python/JSONtoObj.c
@@ -30,7 +30,7 @@ Portions of code from MODP_ASCII - Ascii transformations (upper/lower, etc)
Copyright (c) 2007 Nick Galbreath -- nickg [at] modp [dot] com. All rights reserved.
Numeric decoder derived from from TCL library
-http://www.opensource.apple.com/source/tcl/tcl-14/tcl/license.terms
+https://www.opensource.apple.com/source/tcl/tcl-14/tcl/license.terms
* Copyright (c) 1988-1993 The Regents of the University of California.
* Copyright (c) 1994 Sun Microsystems, Inc.
*/
diff --git a/pandas/_libs/src/ujson/python/objToJSON.c b/pandas/_libs/src/ujson/python/objToJSON.c
index c5ac279ed3243..5c8c2ac595ed1 100644
--- a/pandas/_libs/src/ujson/python/objToJSON.c
+++ b/pandas/_libs/src/ujson/python/objToJSON.c
@@ -31,7 +31,7 @@ Copyright (c) 2007 Nick Galbreath -- nickg [at] modp [dot] com. All rights
reserved.
Numeric decoder derived from from TCL library
-http://www.opensource.apple.com/source/tcl/tcl-14/tcl/license.terms
+https://www.opensource.apple.com/source/tcl/tcl-14/tcl/license.terms
* Copyright (c) 1988-1993 The Regents of the University of California.
* Copyright (c) 1994 Sun Microsystems, Inc.
*/
diff --git a/pandas/_libs/src/ujson/python/ujson.c b/pandas/_libs/src/ujson/python/ujson.c
index 4a88fb7a4e849..a40f2709c0c61 100644
--- a/pandas/_libs/src/ujson/python/ujson.c
+++ b/pandas/_libs/src/ujson/python/ujson.c
@@ -30,7 +30,7 @@ Portions of code from MODP_ASCII - Ascii transformations (upper/lower, etc)
Copyright (c) 2007 Nick Galbreath -- nickg [at] modp [dot] com. All rights reserved.
Numeric decoder derived from from TCL library
-http://www.opensource.apple.com/source/tcl/tcl-14/tcl/license.terms
+https://www.opensource.apple.com/source/tcl/tcl-14/tcl/license.terms
* Copyright (c) 1988-1993 The Regents of the University of California.
* Copyright (c) 1994 Sun Microsystems, Inc.
*/
diff --git a/pandas/_libs/src/ujson/python/version.h b/pandas/_libs/src/ujson/python/version.h
index ef6d28bf3a1f7..3f38642b6df87 100644
--- a/pandas/_libs/src/ujson/python/version.h
+++ b/pandas/_libs/src/ujson/python/version.h
@@ -30,7 +30,7 @@ Portions of code from MODP_ASCII - Ascii transformations (upper/lower, etc)
Copyright (c) 2007 Nick Galbreath -- nickg [at] modp [dot] com. All rights reserved.
Numeric decoder derived from from TCL library
-http://www.opensource.apple.com/source/tcl/tcl-14/tcl/license.terms
+https://www.opensource.apple.com/source/tcl/tcl-14/tcl/license.terms
* Copyright (c) 1988-1993 The Regents of the University of California.
* Copyright (c) 1994 Sun Microsystems, Inc.
*/
diff --git a/pandas/_libs/tslibs/c_timestamp.pyx b/pandas/_libs/tslibs/c_timestamp.pyx
index ed1df5f4fa595..2c72cec18f096 100644
--- a/pandas/_libs/tslibs/c_timestamp.pyx
+++ b/pandas/_libs/tslibs/c_timestamp.pyx
@@ -124,7 +124,7 @@ cdef class _Timestamp(datetime):
def __reduce_ex__(self, protocol):
# python 3.6 compat
- # http://bugs.python.org/issue28730
+ # https://bugs.python.org/issue28730
# now __reduce_ex__ is defined and higher priority than __reduce__
return self.__reduce__()
diff --git a/pandas/_libs/tslibs/nattype.pyx b/pandas/_libs/tslibs/nattype.pyx
index 67c0f0cc33ab8..4b53520603301 100644
--- a/pandas/_libs/tslibs/nattype.pyx
+++ b/pandas/_libs/tslibs/nattype.pyx
@@ -326,7 +326,7 @@ class NaTType(_NaT):
def __reduce_ex__(self, protocol):
# python 3.6 compat
- # http://bugs.python.org/issue28730
+ # https://bugs.python.org/issue28730
# now __reduce_ex__ is defined and higher priority than __reduce__
return self.__reduce__()
diff --git a/pandas/core/accessor.py b/pandas/core/accessor.py
index 3f1c7b1c049cf..a04e9c3e68310 100644
--- a/pandas/core/accessor.py
+++ b/pandas/core/accessor.py
@@ -186,7 +186,7 @@ def __get__(self, obj, cls):
return self._accessor
accessor_obj = self._accessor(obj)
# Replace the property with the accessor object. Inspired by:
- # http://www.pydanny.com/cached-property.html
+ # https://www.pydanny.com/cached-property.html
# We need to use object.__setattr__ because we overwrite __setattr__ on
# NDFrame
object.__setattr__(obj, self._name, accessor_obj)
diff --git a/pandas/core/arrays/datetimes.py b/pandas/core/arrays/datetimes.py
index 1988b2e9e33f2..4b6b54cce64ec 100644
--- a/pandas/core/arrays/datetimes.py
+++ b/pandas/core/arrays/datetimes.py
@@ -1637,7 +1637,7 @@ def to_julian_date(self):
"""
Convert Datetime Array to float64 ndarray of Julian Dates.
0 Julian date is noon January 1, 4713 BC.
- http://en.wikipedia.org/wiki/Julian_day
+ https://en.wikipedia.org/wiki/Julian_day
"""
# http://mysite.verizon.net/aesir_research/date/jdalg2.htm
diff --git a/pandas/core/frame.py b/pandas/core/frame.py
index fa9a951d6849c..5ae5a3c4edf92 100644
--- a/pandas/core/frame.py
+++ b/pandas/core/frame.py
@@ -1488,9 +1488,9 @@ def to_gbq(
when getting user credentials.
.. _local webserver flow:
- http://google-auth-oauthlib.readthedocs.io/en/latest/reference/google_auth_oauthlib.flow.html#google_auth_oauthlib.flow.InstalledAppFlow.run_local_server
+ https://google-auth-oauthlib.readthedocs.io/en/latest/reference/google_auth_oauthlib.flow.html#google_auth_oauthlib.flow.InstalledAppFlow.run_local_server
.. _console flow:
- http://google-auth-oauthlib.readthedocs.io/en/latest/reference/google_auth_oauthlib.flow.html#google_auth_oauthlib.flow.InstalledAppFlow.run_console
+ https://google-auth-oauthlib.readthedocs.io/en/latest/reference/google_auth_oauthlib.flow.html#google_auth_oauthlib.flow.InstalledAppFlow.run_console
*New in version 0.2.0 of pandas-gbq*.
table_schema : list of dicts, optional
@@ -3364,7 +3364,7 @@ def select_dtypes(self, include=None, exclude=None) -> "DataFrame":
* To select strings you must use the ``object`` dtype, but note that
this will return *all* object dtype columns
* See the `numpy dtype hierarchy
- <http://docs.scipy.org/doc/numpy/reference/arrays.scalars.html>`__
+ <https://docs.scipy.org/doc/numpy/reference/arrays.scalars.html>`__
* To select datetimes, use ``np.datetime64``, ``'datetime'`` or
``'datetime64'``
* To select timedeltas, use ``np.timedelta64``, ``'timedelta'`` or
@@ -7613,7 +7613,7 @@ def cov(self, min_periods=None) -> "DataFrame":
semi-definite. This could lead to estimate correlations having
absolute values which are greater than one, and/or a non-invertible
covariance matrix. See `Estimation of covariance matrices
- <http://en.wikipedia.org/w/index.php?title=Estimation_of_covariance_
+ <https://en.wikipedia.org/w/index.php?title=Estimation_of_covariance_
matrices>`__ for more details.
Examples
diff --git a/pandas/core/generic.py b/pandas/core/generic.py
index 7b216c53c68cf..af80e9954225a 100644
--- a/pandas/core/generic.py
+++ b/pandas/core/generic.py
@@ -2513,7 +2513,7 @@ def to_sql(
References
----------
- .. [1] http://docs.sqlalchemy.org
+ .. [1] https://docs.sqlalchemy.org
.. [2] https://www.python.org/dev/peps/pep-0249/
Examples
@@ -2722,7 +2722,7 @@ def to_xarray(self):
Notes
-----
- See the `xarray docs <http://xarray.pydata.org/en/stable/>`__
+ See the `xarray docs <https://xarray.pydata.org/en/stable/>`__
Examples
--------
@@ -6515,9 +6515,9 @@ def replace(
similar names. These use the actual numerical values of the index.
For more information on their behavior, see the
`SciPy documentation
- <http://docs.scipy.org/doc/scipy/reference/interpolate.html#univariate-interpolation>`__
+ <https://docs.scipy.org/doc/scipy/reference/interpolate.html#univariate-interpolation>`__
and `SciPy tutorial
- <http://docs.scipy.org/doc/scipy/reference/tutorial/interpolate.html>`__.
+ <https://docs.scipy.org/doc/scipy/reference/tutorial/interpolate.html>`__.
Examples
--------
diff --git a/pandas/io/formats/format.py b/pandas/io/formats/format.py
index 296b305f41dd2..05705af0152ea 100644
--- a/pandas/io/formats/format.py
+++ b/pandas/io/formats/format.py
@@ -412,7 +412,7 @@ def __init__(self):
self.ambiguous_width = 1
# Definition of East Asian Width
- # http://unicode.org/reports/tr11/
+ # https://unicode.org/reports/tr11/
# Ambiguous width can be changed by option
self._EAW_MAP = {"Na": 1, "N": 1, "W": 2, "F": 2, "H": 1}
diff --git a/pandas/io/gbq.py b/pandas/io/gbq.py
index 69ebc470fba6f..405bf27cac02d 100644
--- a/pandas/io/gbq.py
+++ b/pandas/io/gbq.py
@@ -64,9 +64,9 @@ def read_gbq(
when getting user credentials.
.. _local webserver flow:
- http://google-auth-oauthlib.readthedocs.io/en/latest/reference/google_auth_oauthlib.flow.html#google_auth_oauthlib.flow.InstalledAppFlow.run_local_server
+ https://google-auth-oauthlib.readthedocs.io/en/latest/reference/google_auth_oauthlib.flow.html#google_auth_oauthlib.flow.InstalledAppFlow.run_local_server
.. _console flow:
- http://google-auth-oauthlib.readthedocs.io/en/latest/reference/google_auth_oauthlib.flow.html#google_auth_oauthlib.flow.InstalledAppFlow.run_console
+ https://google-auth-oauthlib.readthedocs.io/en/latest/reference/google_auth_oauthlib.flow.html#google_auth_oauthlib.flow.InstalledAppFlow.run_console
*New in version 0.2.0 of pandas-gbq*.
dialect : str, default 'legacy'
diff --git a/pandas/io/html.py b/pandas/io/html.py
index 75cb0fafaa6b3..c676bfb1f0c74 100644
--- a/pandas/io/html.py
+++ b/pandas/io/html.py
@@ -986,7 +986,7 @@ def read_html(
is a valid attribute dictionary because the 'id' HTML tag attribute is
a valid HTML attribute for *any* HTML tag as per `this document
- <http://www.w3.org/TR/html-markup/global-attributes.html>`__. ::
+ <https://html.spec.whatwg.org/multipage/dom.html#global-attributes>`__. ::
attrs = {'asdf': 'table'}
@@ -995,7 +995,7 @@ def read_html(
table attributes can be found `here
<http://www.w3.org/TR/REC-html40/struct/tables.html#h-11.2>`__. A
working draft of the HTML 5 spec can be found `here
- <http://www.w3.org/TR/html-markup/table.html>`__. It contains the
+ <https://html.spec.whatwg.org/multipage/tables.html>`__. It contains the
latest information on table attributes for the modern web.
parse_dates : bool, optional
diff --git a/pandas/io/json/_table_schema.py b/pandas/io/json/_table_schema.py
index 5f23b95c10f8e..4e42533ca2744 100644
--- a/pandas/io/json/_table_schema.py
+++ b/pandas/io/json/_table_schema.py
@@ -1,7 +1,7 @@
"""
Table Schema builders
-http://specs.frictionlessdata.io/json-table-schema/
+https://specs.frictionlessdata.io/json-table-schema/
"""
import warnings
diff --git a/pandas/io/stata.py b/pandas/io/stata.py
index cee5f3d280991..ec200a1ad8409 100644
--- a/pandas/io/stata.py
+++ b/pandas/io/stata.py
@@ -7,7 +7,7 @@
a once again improved version.
You can find more information on http://presbrey.mit.edu/PyDTA and
-http://www.statsmodels.org/devel/
+https://www.statsmodels.org/devel/
"""
from collections import abc
import datetime
@@ -204,7 +204,7 @@ def read_stata(
def _stata_elapsed_date_to_datetime_vec(dates, fmt):
"""
- Convert from SIF to datetime. http://www.stata.com/help.cgi?datetime
+ Convert from SIF to datetime. https://www.stata.com/help.cgi?datetime
Parameters
----------
@@ -369,7 +369,7 @@ def convert_delta_safe(base, deltas, unit):
def _datetime_to_stata_elapsed_vec(dates, fmt):
"""
- Convert from datetime to SIF. http://www.stata.com/help.cgi?datetime
+ Convert from datetime to SIF. https://www.stata.com/help.cgi?datetime
Parameters
----------
@@ -729,7 +729,7 @@ class StataMissingValue:
Notes
-----
- More information: <http://www.stata.com/help.cgi?missing>
+ More information: <https://www.stata.com/help.cgi?missing>
Integer missing values make the code '.', '.a', ..., '.z' to the ranges
101 ... 127 (for int8), 32741 ... 32767 (for int16) and 2147483621 ...
diff --git a/pandas/plotting/_misc.py b/pandas/plotting/_misc.py
index ccd42d3940431..1369adcd80269 100644
--- a/pandas/plotting/_misc.py
+++ b/pandas/plotting/_misc.py
@@ -149,7 +149,7 @@ def radviz(frame, class_column, ax=None, color=None, colormap=None, **kwds):
influence of all dimensions.
More info available at the `original article
- <http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.135.889>`_
+ <https://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.135.889>`_
describing RadViz.
Parameters
diff --git a/pandas/tests/indexes/multi/test_analytics.py b/pandas/tests/indexes/multi/test_analytics.py
index 2db61d4f4b852..e64511efd7ffb 100644
--- a/pandas/tests/indexes/multi/test_analytics.py
+++ b/pandas/tests/indexes/multi/test_analytics.py
@@ -326,7 +326,7 @@ def test_map_dictlike(idx, mapper):
)
def test_numpy_ufuncs(idx, func):
# test ufuncs of numpy. see:
- # http://docs.scipy.org/doc/numpy/reference/ufuncs.html
+ # https://docs.scipy.org/doc/numpy/reference/ufuncs.html
if _np_version_under1p17:
expected_exception = AttributeError
diff --git a/pandas/tests/indexes/test_numpy_compat.py b/pandas/tests/indexes/test_numpy_compat.py
index 583556656ac87..92dde565fd454 100644
--- a/pandas/tests/indexes/test_numpy_compat.py
+++ b/pandas/tests/indexes/test_numpy_compat.py
@@ -46,7 +46,7 @@
)
def test_numpy_ufuncs_basic(indices, func):
# test ufuncs of numpy, see:
- # http://docs.scipy.org/doc/numpy/reference/ufuncs.html
+ # https://docs.scipy.org/doc/numpy/reference/ufuncs.html
idx = indices
if isinstance(idx, DatetimeIndexOpsMixin):
@@ -77,7 +77,7 @@ def test_numpy_ufuncs_basic(indices, func):
)
def test_numpy_ufuncs_other(indices, func):
# test ufuncs of numpy, see:
- # http://docs.scipy.org/doc/numpy/reference/ufuncs.html
+ # https://docs.scipy.org/doc/numpy/reference/ufuncs.html
idx = indices
if isinstance(idx, (DatetimeIndex, TimedeltaIndex)):
diff --git a/pandas/tests/tseries/offsets/test_fiscal.py b/pandas/tests/tseries/offsets/test_fiscal.py
index 5686119593e18..f0ce104a68e29 100644
--- a/pandas/tests/tseries/offsets/test_fiscal.py
+++ b/pandas/tests/tseries/offsets/test_fiscal.py
@@ -95,7 +95,7 @@ class TestFY5253LastOfMonth(Base):
on_offset_cases = [
# From Wikipedia (see:
- # http://en.wikipedia.org/wiki/4%E2%80%934%E2%80%935_calendar#Last_Saturday_of_the_month_at_fiscal_year_end)
+ # https://en.wikipedia.org/wiki/4%E2%80%934%E2%80%935_calendar#Last_Saturday_of_the_month_at_fiscal_year_end)
(offset_lom_sat_aug, datetime(2006, 8, 26), True),
(offset_lom_sat_aug, datetime(2007, 8, 25), True),
(offset_lom_sat_aug, datetime(2008, 8, 30), True),
@@ -208,7 +208,7 @@ def test_get_year_end(self):
on_offset_cases = [
# From Wikipedia (see:
- # http://en.wikipedia.org/wiki/4%E2%80%934%E2%80%935_calendar
+ # https://en.wikipedia.org/wiki/4%E2%80%934%E2%80%935_calendar
# #Saturday_nearest_the_end_of_month)
# 2006-09-02 2006 September 2
# 2007-09-01 2007 September 1
diff --git a/pandas/tseries/offsets.py b/pandas/tseries/offsets.py
index 220ff241efa0c..e05cce9c49f4b 100644
--- a/pandas/tseries/offsets.py
+++ b/pandas/tseries/offsets.py
@@ -2062,7 +2062,7 @@ class FY5253(DateOffset):
such as retail, manufacturing and parking industry.
For more information see:
- http://en.wikipedia.org/wiki/4-4-5_calendar
+ https://en.wikipedia.org/wiki/4-4-5_calendar
The year may either:
@@ -2270,7 +2270,7 @@ class FY5253Quarter(DateOffset):
such as retail, manufacturing and parking industry.
For more information see:
- http://en.wikipedia.org/wiki/4-4-5_calendar
+ https://en.wikipedia.org/wiki/4-4-5_calendar
The year may either:
diff --git a/pandas/util/_decorators.py b/pandas/util/_decorators.py
index d10d3a1f71fe6..0aab5a9c4113d 100644
--- a/pandas/util/_decorators.py
+++ b/pandas/util/_decorators.py
@@ -248,7 +248,7 @@ def wrapper(*args, **kwargs) -> Callable[..., Any]:
# Substitution and Appender are derived from matplotlib.docstring (1.1.0)
-# module http://matplotlib.org/users/license.html
+# module https://matplotlib.org/users/license.html
class Substitution:
diff --git a/setup.py b/setup.py
index 191fe49d1eb89..450aef1dc057f 100755
--- a/setup.py
+++ b/setup.py
@@ -60,7 +60,7 @@ def is_platform_mac():
# The import of Extension must be after the import of Cython, otherwise
# we do not get the appropriately patched class.
-# See https://cython.readthedocs.io/en/latest/src/reference/compilation.html
+# See https://cython.readthedocs.io/en/latest/src/userguide/source_files_and_compilation.html # noqa
from distutils.extension import Extension # noqa: E402 isort:skip
from distutils.command.build import build # noqa: E402 isort:skip
diff --git a/versioneer.py b/versioneer.py
index 8a4710da5958a..5882349f65f0b 100644
--- a/versioneer.py
+++ b/versioneer.py
@@ -1677,7 +1677,7 @@ def do_setup():
except EnvironmentError:
pass
# That doesn't cover everything MANIFEST.in can do
- # (http://docs.python.org/2/distutils/sourcedist.html#commands), so
+ # (https://docs.python.org/2/distutils/sourcedist.html#commands), so
# it might give some false negatives. Appending redundant 'include'
# lines is safe, though.
if "versioneer.py" not in simple_includes:
diff --git a/web/pandas/about/citing.md b/web/pandas/about/citing.md
index 5cd31d8722b9d..d5cb64e58f0ad 100644
--- a/web/pandas/about/citing.md
+++ b/web/pandas/about/citing.md
@@ -4,7 +4,7 @@
If you use _pandas_ for a scientific publication, we would appreciate citations to one of the following papers:
-- [Data structures for statistical computing in python](http://conference.scipy.org/proceedings/scipy2010/pdfs/mckinney.pdf),
+- [Data structures for statistical computing in python](https://conference.scipy.org/proceedings/scipy2010/pdfs/mckinney.pdf),
McKinney, Proceedings of the 9th Python in Science Conference, Volume 445, 2010.
@inproceedings{mckinney2010data,
diff --git a/web/pandas/about/index.md b/web/pandas/about/index.md
index 9a0a3923a6b82..02caaa3b8c53c 100644
--- a/web/pandas/about/index.md
+++ b/web/pandas/about/index.md
@@ -2,8 +2,8 @@
## History of development
-In 2008, _pandas_ development began at [AQR Capital Management](http://www.aqr.com).
-By the end of 2009 it had been [open sourced](http://en.wikipedia.org/wiki/Open_source),
+In 2008, _pandas_ development began at [AQR Capital Management](https://www.aqr.com).
+By the end of 2009 it had been [open sourced](https://en.wikipedia.org/wiki/Open_source),
and is actively supported today by a community of like-minded individuals around the world who
contribute their valuable time and energy to help make open source _pandas_
possible. Thank you to [all of our contributors](team.html).
diff --git a/web/pandas/community/coc.md b/web/pandas/community/coc.md
index de0e8120f7eee..bf62f4e00f847 100644
--- a/web/pandas/community/coc.md
+++ b/web/pandas/community/coc.md
@@ -54,10 +54,10 @@ incident.
This Code of Conduct is adapted from the [Contributor Covenant][homepage],
version 1.3.0, available at
-[http://contributor-covenant.org/version/1/3/0/][version],
+[https://www.contributor-covenant.org/version/1/3/0/][version],
and the [Swift Code of Conduct][swift].
-[homepage]: http://contributor-covenant.org
-[version]: http://contributor-covenant.org/version/1/3/0/
+[homepage]: https://www.contributor-covenant.org
+[version]: https://www.contributor-covenant.org/version/1/3/0/
[swift]: https://swift.org/community/#code-of-conduct
diff --git a/web/pandas/community/ecosystem.md b/web/pandas/community/ecosystem.md
index a707854c6ed2c..715a84c1babc6 100644
--- a/web/pandas/community/ecosystem.md
+++ b/web/pandas/community/ecosystem.md
@@ -264,7 +264,7 @@ which pandas excels.
## Out-of-core
-### [Blaze](http://blaze.pydata.org/)
+### [Blaze](https://blaze.pydata.org/)
Blaze provides a standard API for doing computations with various
in-memory and on-disk backends: NumPy, Pandas, SQLAlchemy, MongoDB,
diff --git a/web/pandas/index.html b/web/pandas/index.html
index 0f4598add4efc..fedb0b0c5f712 100644
--- a/web/pandas/index.html
+++ b/web/pandas/index.html
@@ -7,7 +7,7 @@
<h1>pandas</h1>
<p>
<strong>pandas</strong> is a fast, powerful, flexible and easy to use open source data analysis and manipulation tool,<br/>
- built on top of the <a href="http://www.python.org">Python</a> programming language.
+ built on top of the <a href="https://www.python.org">Python</a> programming language.
</p>
<p>
<a class="btn btn-primary" href="{{ base_url }}/getting_started.html">Install pandas now!</a>
| As some of our links are suggestions to install add-on software, insecure links potentially allow an attacker to replace this with their malware.
During the process of writing this, I also found and fixed some broken or semi-broken (e.g. redirected to the top level instead of the page we want) links.
The following (already) broken links remain:
http://nipunbatra.github.io/2015/06/timeseries/ + others from this site
http://collaboration.cmc.ec.gc.ca/science/rpn/biblio/ddj/Website/articles/CUJ/1992/9210/ross/ross.htm
http://mysite.verizon.net/aesir_research/date/jdalg2.htm | https://api.github.com/repos/pandas-dev/pandas/pulls/31145 | 2020-01-20T07:57:35Z | 2020-01-24T03:55:09Z | 2020-01-24T03:55:09Z | 2020-01-24T03:55:13Z |
Check for pyarrow not feather before pyarrow tests | diff --git a/pandas/tests/io/test_common.py b/pandas/tests/io/test_common.py
index 22aa78919ef0f..d7a21b27308e8 100644
--- a/pandas/tests/io/test_common.py
+++ b/pandas/tests/io/test_common.py
@@ -129,7 +129,7 @@ def test_iterator(self):
(pd.read_csv, "os", FileNotFoundError, "csv"),
(pd.read_fwf, "os", FileNotFoundError, "txt"),
(pd.read_excel, "xlrd", FileNotFoundError, "xlsx"),
- (pd.read_feather, "feather", Exception, "feather"),
+ (pd.read_feather, "pyarrow", IOError, "feather"),
(pd.read_hdf, "tables", FileNotFoundError, "h5"),
(pd.read_stata, "os", FileNotFoundError, "dta"),
(pd.read_sas, "os", FileNotFoundError, "sas7bdat"),
@@ -153,8 +153,11 @@ def test_read_non_existant(self, reader, module, error_class, fn_ext):
msg7 = (
fr"\[Errno 2\] File o directory non esistente: '.+does_not_exist\.{fn_ext}'"
)
+ msg8 = fr"Failed to open local file.+does_not_exist\.{fn_ext}.?, error: .*"
+
with pytest.raises(
- error_class, match=fr"({msg1}|{msg2}|{msg3}|{msg4}|{msg5}|{msg6}|{msg7})"
+ error_class,
+ match=fr"({msg1}|{msg2}|{msg3}|{msg4}|{msg5}|{msg6}|{msg7}|{msg8})",
):
reader(path)
@@ -165,7 +168,7 @@ def test_read_non_existant(self, reader, module, error_class, fn_ext):
(pd.read_table, "os", FileNotFoundError, "csv"),
(pd.read_fwf, "os", FileNotFoundError, "txt"),
(pd.read_excel, "xlrd", FileNotFoundError, "xlsx"),
- (pd.read_feather, "feather", Exception, "feather"),
+ (pd.read_feather, "pyarrow", IOError, "feather"),
(pd.read_hdf, "tables", FileNotFoundError, "h5"),
(pd.read_stata, "os", FileNotFoundError, "dta"),
(pd.read_sas, "os", FileNotFoundError, "sas7bdat"),
@@ -193,9 +196,11 @@ def test_read_expands_user_home_dir(
msg7 = (
fr"\[Errno 2\] File o directory non esistente: '.+does_not_exist\.{fn_ext}'"
)
+ msg8 = fr"Failed to open local file.+does_not_exist\.{fn_ext}.?, error: .*"
with pytest.raises(
- error_class, match=fr"({msg1}|{msg2}|{msg3}|{msg4}|{msg5}|{msg6}|{msg7})"
+ error_class,
+ match=fr"({msg1}|{msg2}|{msg3}|{msg4}|{msg5}|{msg6}|{msg7}|{msg8})",
):
reader(path)
@@ -212,7 +217,7 @@ def test_read_expands_user_home_dir(
(pd.read_excel, "xlrd", ("io", "data", "excel", "test1.xlsx")),
(
pd.read_feather,
- "feather",
+ "pyarrow",
("io", "data", "feather", "feather-0_3_1.feather"),
),
(
@@ -249,7 +254,7 @@ def test_read_fspath_all(self, reader, module, path, datapath):
[
("to_csv", {}, "os"),
("to_excel", {"engine": "xlwt"}, "xlwt"),
- ("to_feather", {}, "feather"),
+ ("to_feather", {}, "pyarrow"),
("to_html", {}, "os"),
("to_json", {}, "os"),
("to_latex", {}, "os"),
| read_feather/to_feather now use pyarrow.feather, not top-level (feather-format) feather, but some of their tests were still looking for top-level feather.
Two of them that deliberately cause a file not found error were also looking for the wrong form of error message. (Probably nobody noticed because the above was skipping them.) | https://api.github.com/repos/pandas-dev/pandas/pulls/31144 | 2020-01-20T07:51:15Z | 2020-01-24T03:54:11Z | 2020-01-24T03:54:10Z | 2020-01-24T03:54:17Z |
REF: share searchsorted between DTI/TDI/PI, insert between DTI/TDI | diff --git a/pandas/core/indexes/datetimelike.py b/pandas/core/indexes/datetimelike.py
index bf1272b223f70..e07271bfcb875 100644
--- a/pandas/core/indexes/datetimelike.py
+++ b/pandas/core/indexes/datetimelike.py
@@ -27,12 +27,13 @@
)
from pandas.core.dtypes.concat import concat_compat
from pandas.core.dtypes.generic import ABCIndex, ABCIndexClass, ABCSeries
-from pandas.core.dtypes.missing import isna
+from pandas.core.dtypes.missing import is_valid_nat_for_dtype, isna
from pandas.core import algorithms
from pandas.core.accessor import PandasDelegate
from pandas.core.arrays import DatetimeArray, ExtensionArray, TimedeltaArray
from pandas.core.arrays.datetimelike import DatetimeLikeArrayMixin
+from pandas.core.base import _shared_docs
import pandas.core.indexes.base as ibase
from pandas.core.indexes.base import Index, _index_shared_docs
from pandas.core.indexes.extension import (
@@ -221,6 +222,18 @@ def take(self, indices, axis=0, allow_fill=True, fill_value=None, **kwargs):
self, indices, axis, allow_fill, fill_value, **kwargs
)
+ @Appender(_shared_docs["searchsorted"])
+ def searchsorted(self, value, side="left", sorter=None):
+ if isinstance(value, str):
+ raise TypeError(
+ "searchsorted requires compatible dtype or scalar, "
+ f"not {type(value).__name__}"
+ )
+ if isinstance(value, Index):
+ value = value._data
+
+ return self._data.searchsorted(value, side=side, sorter=sorter)
+
_can_hold_na = True
_na_value = NaT
@@ -883,6 +896,60 @@ def _wrap_joined_index(self, joined, other):
kwargs["tz"] = getattr(other, "tz", None)
return self._simple_new(joined, name, **kwargs)
+ # --------------------------------------------------------------------
+ # List-Like Methods
+
+ def insert(self, loc, item):
+ """
+ Make new Index inserting new item at location
+ Parameters
+ ----------
+ loc : int
+ item : object
+ if not either a Python datetime or a numpy integer-like, returned
+ Index dtype will be object rather than datetime.
+ Returns
+ -------
+ new_index : Index
+ """
+ if isinstance(item, self._data._recognized_scalars):
+ item = self._data._scalar_type(item)
+ elif is_valid_nat_for_dtype(item, self.dtype):
+ # GH 18295
+ item = self._na_value
+ elif is_scalar(item) and isna(item):
+ raise TypeError(
+ f"cannot insert {type(self).__name__} with incompatible label"
+ )
+
+ freq = None
+ if isinstance(item, self._data._scalar_type) or item is NaT:
+ self._data._check_compatible_with(item, setitem=True)
+
+ # check freq can be preserved on edge cases
+ if self.size and self.freq is not None:
+ if item is NaT:
+ pass
+ elif (loc == 0 or loc == -len(self)) and item + self.freq == self[0]:
+ freq = self.freq
+ elif (loc == len(self)) and item - self.freq == self[-1]:
+ freq = self.freq
+ item = item.asm8
+
+ try:
+ new_i8s = np.concatenate(
+ (self[:loc].asi8, [item.view(np.int64)], self[loc:].asi8)
+ )
+ return self._shallow_copy(new_i8s, freq=freq)
+ except (AttributeError, TypeError):
+
+ # fall back to object index
+ if isinstance(item, str):
+ return self.astype(object).insert(loc, item)
+ raise TypeError(
+ f"cannot insert {type(self).__name__} with incompatible label"
+ )
+
class DatetimelikeDelegateMixin(PandasDelegate):
"""
diff --git a/pandas/core/indexes/datetimes.py b/pandas/core/indexes/datetimes.py
index 91b9aa63c6a8e..f97f3269f499e 100644
--- a/pandas/core/indexes/datetimes.py
+++ b/pandas/core/indexes/datetimes.py
@@ -14,11 +14,11 @@
tslib as libts,
)
from pandas._libs.tslibs import ccalendar, fields, parsing, timezones
-from pandas.util._decorators import Appender, Substitution, cache_readonly
+from pandas.util._decorators import cache_readonly
from pandas.core.dtypes.common import _NS_DTYPE, is_float, is_integer, is_scalar
from pandas.core.dtypes.dtypes import DatetimeTZDtype
-from pandas.core.dtypes.missing import is_valid_nat_for_dtype, isna
+from pandas.core.dtypes.missing import isna
from pandas.core.accessor import delegate_names
from pandas.core.arrays.datetimes import (
@@ -26,7 +26,6 @@
tz_to_dtype,
validate_tz_from_dtype,
)
-from pandas.core.base import _shared_docs
import pandas.core.common as com
from pandas.core.indexes.base import Index, maybe_extract_name
from pandas.core.indexes.datetimelike import (
@@ -826,19 +825,6 @@ def slice_indexer(self, start=None, end=None, step=None, kind=None):
# --------------------------------------------------------------------
- @Substitution(klass="DatetimeIndex")
- @Appender(_shared_docs["searchsorted"])
- def searchsorted(self, value, side="left", sorter=None):
- if isinstance(value, str):
- raise TypeError(
- "searchsorted requires compatible dtype or scalar, "
- f"not {type(value).__name__}"
- )
- if isinstance(value, Index):
- value = value._data
-
- return self._data.searchsorted(value, side=side)
-
def is_type_compatible(self, typ) -> bool:
return typ == self.inferred_type or typ == "datetime"
@@ -848,60 +834,6 @@ def inferred_type(self) -> str:
# sure we can't have ambiguous indexing
return "datetime64"
- def insert(self, loc, item):
- """
- Make new Index inserting new item at location
-
- Parameters
- ----------
- loc : int
- item : object
- if not either a Python datetime or a numpy integer-like, returned
- Index dtype will be object rather than datetime.
-
- Returns
- -------
- new_index : Index
- """
- if isinstance(item, self._data._recognized_scalars):
- item = self._data._scalar_type(item)
- elif is_valid_nat_for_dtype(item, self.dtype):
- # GH 18295
- item = self._na_value
- elif is_scalar(item) and isna(item):
- # i.e. timedeltat64("NaT")
- raise TypeError(
- f"cannot insert {type(self).__name__} with incompatible label"
- )
-
- freq = None
- if isinstance(item, self._data._scalar_type) or item is NaT:
- self._data._check_compatible_with(item, setitem=True)
-
- # check freq can be preserved on edge cases
- if self.size and self.freq is not None:
- if item is NaT:
- pass
- elif (loc == 0 or loc == -len(self)) and item + self.freq == self[0]:
- freq = self.freq
- elif (loc == len(self)) and item - self.freq == self[-1]:
- freq = self.freq
- item = item.asm8
-
- try:
- new_i8s = np.concatenate(
- (self[:loc].asi8, [item.view(np.int64)], self[loc:].asi8)
- )
- return self._shallow_copy(new_i8s, freq=freq)
- except (AttributeError, TypeError):
-
- # fall back to object index
- if isinstance(item, str):
- return self.astype(object).insert(loc, item)
- raise TypeError(
- f"cannot insert {type(self).__name__} with incompatible label"
- )
-
def indexer_at_time(self, time, asof=False):
"""
Return index locations of index values at particular time of day
diff --git a/pandas/core/indexes/period.py b/pandas/core/indexes/period.py
index 35f96e61704f0..70f7c323ee19b 100644
--- a/pandas/core/indexes/period.py
+++ b/pandas/core/indexes/period.py
@@ -7,7 +7,7 @@
from pandas._libs.tslibs import NaT, frequencies as libfrequencies, resolution
from pandas._libs.tslibs.parsing import parse_time_string
from pandas._libs.tslibs.period import Period
-from pandas.util._decorators import Appender, Substitution, cache_readonly
+from pandas.util._decorators import Appender, cache_readonly
from pandas.core.dtypes.common import (
ensure_platform_int,
@@ -30,7 +30,6 @@
raise_on_incompatible,
validate_dtype_freq,
)
-from pandas.core.base import _shared_docs
import pandas.core.common as com
import pandas.core.indexes.base as ibase
from pandas.core.indexes.base import (
@@ -465,11 +464,6 @@ def astype(self, dtype, copy=True, how="start"):
# TODO: should probably raise on `how` here, so we don't ignore it.
return super().astype(dtype, copy=copy)
- @Substitution(klass="PeriodIndex")
- @Appender(_shared_docs["searchsorted"])
- def searchsorted(self, value, side="left", sorter=None):
- return self._data.searchsorted(value, side=side, sorter=sorter)
-
@property
def is_full(self) -> bool:
"""
diff --git a/pandas/core/indexes/timedeltas.py b/pandas/core/indexes/timedeltas.py
index e7427438828a8..ebaa84d10b066 100644
--- a/pandas/core/indexes/timedeltas.py
+++ b/pandas/core/indexes/timedeltas.py
@@ -4,7 +4,7 @@
import numpy as np
from pandas._libs import NaT, Timedelta, index as libindex
-from pandas.util._decorators import Appender, Substitution
+from pandas.util._decorators import Appender
from pandas.core.dtypes.common import (
_TD_DTYPE,
@@ -16,12 +16,11 @@
is_timedelta64_ns_dtype,
pandas_dtype,
)
-from pandas.core.dtypes.missing import is_valid_nat_for_dtype, isna
+from pandas.core.dtypes.missing import isna
from pandas.core.accessor import delegate_names
from pandas.core.arrays import datetimelike as dtl
from pandas.core.arrays.timedeltas import TimedeltaArray, _is_convertible_to_td
-from pandas.core.base import _shared_docs
import pandas.core.common as com
from pandas.core.indexes.base import Index, _index_shared_docs, maybe_extract_name
from pandas.core.indexes.datetimelike import (
@@ -345,19 +344,6 @@ def _partial_td_slice(self, key):
raise NotImplementedError
- @Substitution(klass="TimedeltaIndex")
- @Appender(_shared_docs["searchsorted"])
- def searchsorted(self, value, side="left", sorter=None):
- if isinstance(value, str):
- raise TypeError(
- "searchsorted requires compatible dtype or scalar, "
- f"not {type(value).__name__}"
- )
- if isinstance(value, Index):
- value = value._data
-
- return self._data.searchsorted(value, side=side, sorter=sorter)
-
def is_type_compatible(self, typ) -> bool:
return typ == self.inferred_type or typ == "timedelta"
@@ -365,62 +351,6 @@ def is_type_compatible(self, typ) -> bool:
def inferred_type(self) -> str:
return "timedelta64"
- def insert(self, loc, item):
- """
- Make new Index inserting new item at location
-
- Parameters
- ----------
- loc : int
- item : object
- If not either a Python datetime or a numpy integer-like, returned
- Index dtype will be object rather than datetime.
-
- Returns
- -------
- new_index : Index
- """
- # try to convert if possible
- if isinstance(item, self._data._recognized_scalars):
- item = self._data._scalar_type(item)
- elif is_valid_nat_for_dtype(item, self.dtype):
- # GH 18295
- item = self._na_value
- elif is_scalar(item) and isna(item):
- # i.e. datetime64("NaT")
- raise TypeError(
- f"cannot insert {type(self).__name__} with incompatible label"
- )
-
- freq = None
- if isinstance(item, self._data._scalar_type) or item is NaT:
- self._data._check_compatible_with(item, setitem=True)
-
- # check freq can be preserved on edge cases
- if self.size and self.freq is not None:
- if item is NaT:
- pass
- elif (loc == 0 or loc == -len(self)) and item + self.freq == self[0]:
- freq = self.freq
- elif (loc == len(self)) and item - self.freq == self[-1]:
- freq = self.freq
- item = item.asm8
-
- try:
- new_i8s = np.concatenate(
- (self[:loc].asi8, [item.view(np.int64)], self[loc:].asi8)
- )
- tda = type(self._data)._simple_new(new_i8s, freq=freq)
- return self._shallow_copy(tda)
- except (AttributeError, TypeError):
-
- # fall back to object index
- if isinstance(item, str):
- return self.astype(object).insert(loc, item)
- raise TypeError(
- f"cannot insert {type(self).__name__} with incompatible label"
- )
-
TimedeltaIndex._add_logical_methods_disabled()
| Made possible following #30950, takes the place of #30853. | https://api.github.com/repos/pandas-dev/pandas/pulls/31143 | 2020-01-20T01:20:32Z | 2020-01-20T16:39:55Z | 2020-01-20T16:39:55Z | 2020-01-20T21:24:34Z |
TST:Disallow bare pytest raises issue 30999 | diff --git a/pandas/tests/base/test_constructors.py b/pandas/tests/base/test_constructors.py
index 0b7274399aafc..e27b5c307cd99 100644
--- a/pandas/tests/base/test_constructors.py
+++ b/pandas/tests/base/test_constructors.py
@@ -53,13 +53,16 @@ def test_invalid_delegation(self):
delegate = self.Delegate(self.Delegator())
- with pytest.raises(TypeError):
+ msg = "You cannot access the property foo"
+ with pytest.raises(TypeError, match=msg):
delegate.foo
- with pytest.raises(TypeError):
+ msg = "The property foo cannot be set"
+ with pytest.raises(TypeError, match=msg):
delegate.foo = 5
- with pytest.raises(TypeError):
+ msg = "You cannot access the property foo"
+ with pytest.raises(TypeError, match=msg):
delegate.foo()
@pytest.mark.skipif(PYPY, reason="not relevant for PyPy")
@@ -85,8 +88,8 @@ class T(NoNewAttributesMixin):
t._freeze()
assert "__frozen" in dir(t)
assert getattr(t, "__frozen")
-
- with pytest.raises(AttributeError):
+ msg = "You cannot add any new attribute"
+ with pytest.raises(AttributeError, match=msg):
t.b = "test"
assert not hasattr(t, "b")
@@ -129,7 +132,8 @@ def test_constructor_datetime_outofbound(self, a, klass):
# datetime64[non-ns] raise error, other cases result in object dtype
# and preserve original data
if a.dtype.kind == "M":
- with pytest.raises(pd.errors.OutOfBoundsDatetime):
+ msg = "Out of bounds"
+ with pytest.raises(pd.errors.OutOfBoundsDatetime, match=msg):
klass(a)
else:
result = klass(a)
@@ -138,5 +142,6 @@ def test_constructor_datetime_outofbound(self, a, klass):
# Explicit dtype specified
# Forced conversion fails for all -> all cases raise error
- with pytest.raises(pd.errors.OutOfBoundsDatetime):
+ msg = "Out of bounds"
+ with pytest.raises(pd.errors.OutOfBoundsDatetime, match=msg):
klass(a, dtype="datetime64[ns]")
diff --git a/pandas/tests/base/test_conversion.py b/pandas/tests/base/test_conversion.py
index 07a15d0619bb6..46fd1551e6170 100644
--- a/pandas/tests/base/test_conversion.py
+++ b/pandas/tests/base/test_conversion.py
@@ -303,7 +303,8 @@ def test_array(array, attr, index_or_series):
def test_array_multiindex_raises():
idx = pd.MultiIndex.from_product([["A"], ["a", "b"]])
- with pytest.raises(ValueError, match="MultiIndex"):
+ msg = "MultiIndex has no single backing array"
+ with pytest.raises(ValueError, match=msg):
idx.array
@@ -429,11 +430,11 @@ def test_to_numpy_na_value_numpy_dtype(container, values, dtype, na_value, expec
def test_to_numpy_kwargs_raises():
# numpy
s = pd.Series([1, 2, 3])
- match = r"to_numpy\(\) got an unexpected keyword argument 'foo'"
- with pytest.raises(TypeError, match=match):
+ msg = r"to_numpy\(\) got an unexpected keyword argument 'foo'"
+ with pytest.raises(TypeError, match=msg):
s.to_numpy(foo=True)
# extension
s = pd.Series([1, 2, 3], dtype="Int64")
- with pytest.raises(TypeError, match=match):
+ with pytest.raises(TypeError, match=msg):
s.to_numpy(foo=True)
diff --git a/pandas/tests/base/test_ops.py b/pandas/tests/base/test_ops.py
index 2693eb12dda71..08ec57bd69ad4 100644
--- a/pandas/tests/base/test_ops.py
+++ b/pandas/tests/base/test_ops.py
@@ -123,11 +123,11 @@ def check_ops_properties(self, props, filter=None, ignore_failures=False):
# an object that is datetimelike will raise a TypeError,
# otherwise an AttributeError
+ msg = "no attribute"
err = AttributeError
if issubclass(type(o), DatetimeIndexOpsMixin):
err = TypeError
-
- with pytest.raises(err):
+ with pytest.raises(err, match=msg):
getattr(o, op)
@pytest.mark.parametrize("klass", [Series, DataFrame])
@@ -211,9 +211,10 @@ def test_none_comparison(self):
if is_datetime64_dtype(o) or is_datetime64tz_dtype(o):
# Following DatetimeIndex (and Timestamp) convention,
# inequality comparisons with Series[datetime64] raise
- with pytest.raises(TypeError):
+ msg = "Invalid comparison"
+ with pytest.raises(TypeError, match=msg):
None > o
- with pytest.raises(TypeError):
+ with pytest.raises(TypeError, match=msg):
o > None
else:
result = None > o
@@ -235,7 +236,8 @@ def test_ndarray_compat_properties(self):
for p in ["flags", "strides", "itemsize", "base", "data"]:
assert not hasattr(o, p)
- with pytest.raises(ValueError):
+ msg = "can only convert an array of size 1 to a Python scalar"
+ with pytest.raises(ValueError, match=msg):
o.item() # len > 1
assert o.ndim == 1
@@ -438,7 +440,8 @@ def test_value_counts_bins(self, index_or_series):
s = klass(s_values)
# bins
- with pytest.raises(TypeError):
+ msg = "bins argument only works with numeric data"
+ with pytest.raises(TypeError, match=msg):
s.value_counts(bins=1)
s1 = Series([1, 1, 2, 3])
@@ -857,7 +860,8 @@ def test_validate_bool_args(self):
invalid_values = [1, "True", [1, 2, 3], 5.0]
for value in invalid_values:
- with pytest.raises(ValueError):
+ msg = "expected type bool"
+ with pytest.raises(ValueError, match=msg):
self.int_series.drop_duplicates(inplace=value)
def test_getitem(self):
@@ -870,9 +874,11 @@ def test_getitem(self):
assert i[-1] == i[9]
- with pytest.raises(IndexError):
+ msg = "index 20 is out of bounds for axis 0 with size 10"
+ with pytest.raises(IndexError, match=msg):
i[20]
- with pytest.raises(IndexError):
+ msg = "single positional indexer is out-of-bounds"
+ with pytest.raises(IndexError, match=msg):
s.iloc[20]
@pytest.mark.parametrize("indexer_klass", [list, pd.Index])
| - [x] refers #30999
- [ ] tests added / passed
- [x] passes `black pandas`
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [ ] whatsnew entry
This pull request is to add appropriate match arguments to bare pytest.raises listed in #30999 [Comment](https://github.com/pandas-dev/pandas/issues/30999#issuecomment-574339599) | https://api.github.com/repos/pandas-dev/pandas/pulls/31138 | 2020-01-19T18:57:46Z | 2020-01-23T08:18:57Z | 2020-01-23T08:18:57Z | 2020-01-25T21:06:46Z |
TYP: Index get_indexer_foo methods | diff --git a/pandas/_libs/index.pyx b/pandas/_libs/index.pyx
index 4bcdb5d96a32d..e5e3b27c41721 100644
--- a/pandas/_libs/index.pyx
+++ b/pandas/_libs/index.pyx
@@ -213,7 +213,8 @@ cdef class IndexEngine:
return self.monotonic_dec == 1
cdef inline _do_monotonic_check(self):
- cdef object is_unique
+ cdef:
+ bint is_unique
try:
values = self._get_index_values()
self.monotonic_inc, self.monotonic_dec, is_unique = \
@@ -236,10 +237,10 @@ cdef class IndexEngine:
cdef _call_monotonic(self, values):
return algos.is_monotonic(values, timelike=False)
- def get_backfill_indexer(self, other, limit=None):
+ def get_backfill_indexer(self, other: np.ndarray, limit=None) -> np.ndarray:
return algos.backfill(self._get_index_values(), other, limit=limit)
- def get_pad_indexer(self, other, limit=None):
+ def get_pad_indexer(self, other: np.ndarray, limit=None) -> np.ndarray:
return algos.pad(self._get_index_values(), other, limit=limit)
cdef _make_hash_table(self, Py_ssize_t n):
@@ -477,13 +478,13 @@ cdef class DatetimeEngine(Int64Engine):
values = np.asarray(values).view('i8')
return self.mapping.lookup(values)
- def get_pad_indexer(self, other, limit=None):
+ def get_pad_indexer(self, other: np.ndarray, limit=None) -> np.ndarray:
if other.dtype != self._get_box_dtype():
return np.repeat(-1, len(other)).astype('i4')
other = np.asarray(other).view('i8')
return algos.pad(self._get_index_values(), other, limit=limit)
- def get_backfill_indexer(self, other, limit=None):
+ def get_backfill_indexer(self, other: np.ndarray, limit=None) -> np.ndarray:
if other.dtype != self._get_box_dtype():
return np.repeat(-1, len(other)).astype('i4')
other = np.asarray(other).view('i8')
@@ -506,16 +507,13 @@ cdef class PeriodEngine(Int64Engine):
cdef _get_index_values(self):
return super(PeriodEngine, self).vgetter().view("i8")
- cdef void _call_map_locations(self, values):
- # super(...) pattern doesn't seem to work with `cdef`
- Int64Engine._call_map_locations(self, values.view('i8'))
-
cdef _call_monotonic(self, values):
# super(...) pattern doesn't seem to work with `cdef`
return Int64Engine._call_monotonic(self, values.view('i8'))
def get_indexer(self, values):
- cdef ndarray[int64_t, ndim=1] ordinals
+ cdef:
+ ndarray[int64_t, ndim=1] ordinals
super(PeriodEngine, self)._ensure_mapping_populated()
@@ -524,14 +522,14 @@ cdef class PeriodEngine(Int64Engine):
return self.mapping.lookup(ordinals)
- def get_pad_indexer(self, other, limit=None):
+ def get_pad_indexer(self, other: np.ndarray, limit=None) -> np.ndarray:
freq = super(PeriodEngine, self).vgetter().freq
ordinal = periodlib.extract_ordinals(other, freq)
return algos.pad(self._get_index_values(),
np.asarray(ordinal), limit=limit)
- def get_backfill_indexer(self, other, limit=None):
+ def get_backfill_indexer(self, other: np.ndarray, limit=None) -> np.ndarray:
freq = super(PeriodEngine, self).vgetter().freq
ordinal = periodlib.extract_ordinals(other, freq)
diff --git a/pandas/_libs/index_class_helper.pxi.in b/pandas/_libs/index_class_helper.pxi.in
index 093cca4fe7ed5..cd2b9fbe7d6d6 100644
--- a/pandas/_libs/index_class_helper.pxi.in
+++ b/pandas/_libs/index_class_helper.pxi.in
@@ -53,10 +53,7 @@ cdef class {{name}}Engine(IndexEngine):
ndarray[{{ctype}}] values
int count = 0
- {{if name not in {'Float64', 'Float32'} }}
- if not util.is_integer_object(val):
- raise KeyError(val)
- {{endif}}
+ self._check_type(val)
# A view is needed for some subclasses, such as PeriodEngine:
values = self._get_index_values().view('{{dtype}}')
diff --git a/pandas/core/indexes/base.py b/pandas/core/indexes/base.py
index 5ce2b06ed7dbd..dc74840958e1f 100644
--- a/pandas/core/indexes/base.py
+++ b/pandas/core/indexes/base.py
@@ -96,6 +96,7 @@
duplicated="np.ndarray",
)
_index_shared_docs = dict()
+str_t = str
def _make_comparison_op(op, cls):
@@ -2959,7 +2960,9 @@ def get_loc(self, key, method=None, tolerance=None):
"""
@Appender(_index_shared_docs["get_indexer"] % _index_doc_kwargs)
- def get_indexer(self, target, method=None, limit=None, tolerance=None):
+ def get_indexer(
+ self, target, method=None, limit=None, tolerance=None
+ ) -> np.ndarray:
method = missing.clean_reindex_fill_method(method)
target = ensure_index(target)
if tolerance is not None:
@@ -3016,14 +3019,16 @@ def _convert_tolerance(self, tolerance, target):
raise ValueError("list-like tolerance size must match target index size")
return tolerance
- def _get_fill_indexer(self, target, method, limit=None, tolerance=None):
+ def _get_fill_indexer(
+ self, target: "Index", method: str_t, limit=None, tolerance=None
+ ) -> np.ndarray:
if self.is_monotonic_increasing and target.is_monotonic_increasing:
- method = (
+ engine_method = (
self._engine.get_pad_indexer
if method == "pad"
else self._engine.get_backfill_indexer
)
- indexer = method(target._ndarray_values, limit)
+ indexer = engine_method(target._ndarray_values, limit)
else:
indexer = self._get_fill_indexer_searchsorted(target, method, limit)
if tolerance is not None:
@@ -3032,7 +3037,9 @@ def _get_fill_indexer(self, target, method, limit=None, tolerance=None):
)
return indexer
- def _get_fill_indexer_searchsorted(self, target, method, limit=None):
+ def _get_fill_indexer_searchsorted(
+ self, target: "Index", method: str_t, limit=None
+ ) -> np.ndarray:
"""
Fallback pad/backfill get_indexer that works for monotonic decreasing
indexes and non-monotonic targets.
@@ -3063,7 +3070,7 @@ def _get_fill_indexer_searchsorted(self, target, method, limit=None):
indexer[indexer == len(self)] = -1
return indexer
- def _get_nearest_indexer(self, target, limit, tolerance):
+ def _get_nearest_indexer(self, target: "Index", limit, tolerance) -> np.ndarray:
"""
Get the indexer for the nearest index labels; requires an index with
values that can be subtracted from each other (e.g., not strings or
@@ -3086,7 +3093,9 @@ def _get_nearest_indexer(self, target, limit, tolerance):
indexer = self._filter_indexer_tolerance(target, indexer, tolerance)
return indexer
- def _filter_indexer_tolerance(self, target, indexer, tolerance):
+ def _filter_indexer_tolerance(
+ self, target: "Index", indexer: np.ndarray, tolerance
+ ) -> np.ndarray:
distance = abs(self.values[indexer] - target)
indexer = np.where(distance <= tolerance, indexer, -1)
return indexer
| https://api.github.com/repos/pandas-dev/pandas/pulls/31137 | 2020-01-19T17:57:55Z | 2020-01-19T20:58:40Z | 2020-01-19T20:58:38Z | 2020-01-19T20:59:38Z | |
COMPAT: Return NotImplemented for subclassing | diff --git a/pandas/core/indexes/extension.py b/pandas/core/indexes/extension.py
index 9ddc5c01030b1..81afb00c6dacc 100644
--- a/pandas/core/indexes/extension.py
+++ b/pandas/core/indexes/extension.py
@@ -8,7 +8,11 @@
from pandas.compat.numpy import function as nv
from pandas.util._decorators import Appender, cache_readonly
-from pandas.core.dtypes.common import ensure_platform_int, is_dtype_equal
+from pandas.core.dtypes.common import (
+ ensure_platform_int,
+ is_dtype_equal,
+ is_object_dtype,
+)
from pandas.core.dtypes.generic import ABCSeries
from pandas.core.arrays import ExtensionArray
@@ -110,6 +114,15 @@ def wrapper(self, other):
def make_wrapped_arith_op(opname):
def method(self, other):
+ if (
+ isinstance(other, Index)
+ and is_object_dtype(other.dtype)
+ and type(other) is not Index
+ ):
+ # We return NotImplemented for object-dtype index *subclasses* so they have
+ # a chance to implement ops before we unwrap them.
+ # See https://github.com/pandas-dev/pandas/issues/31109
+ return NotImplemented
meth = getattr(self._data, opname)
result = meth(_maybe_unwrap_index(other))
return _wrap_arithmetic_op(self, other, result)
diff --git a/pandas/tests/arithmetic/test_object.py b/pandas/tests/arithmetic/test_object.py
index c0d3c9d4977bd..a729715f11b2a 100644
--- a/pandas/tests/arithmetic/test_object.py
+++ b/pandas/tests/arithmetic/test_object.py
@@ -1,6 +1,7 @@
# Arithmetic tests for DataFrame/Series/Index/Array classes that should
# behave identically.
# Specifically for object dtype
+import datetime
from decimal import Decimal
import operator
@@ -323,3 +324,48 @@ def test_rsub_object(self):
with pytest.raises(TypeError):
np.array([True, pd.Timestamp.now()]) - index
+
+
+class MyIndex(pd.Index):
+ # Simple index subclass that tracks ops calls.
+
+ _calls: int
+
+ @classmethod
+ def _simple_new(cls, values, name=None, dtype=None):
+ result = object.__new__(cls)
+ result._data = values
+ result._index_data = values
+ result._name = name
+ result._calls = 0
+
+ return result._reset_identity()
+
+ def __add__(self, other):
+ self._calls += 1
+ return self._simple_new(self._index_data)
+
+ def __radd__(self, other):
+ return self.__add__(other)
+
+
+@pytest.mark.parametrize(
+ "other",
+ [
+ [datetime.timedelta(1), datetime.timedelta(2)],
+ [datetime.datetime(2000, 1, 1), datetime.datetime(2000, 1, 2)],
+ [pd.Period("2000"), pd.Period("2001")],
+ ["a", "b"],
+ ],
+ ids=["timedelta", "datetime", "period", "object"],
+)
+def test_index_ops_defer_to_unknown_subclasses(other):
+ # https://github.com/pandas-dev/pandas/issues/31109
+ values = np.array(
+ [datetime.date(2000, 1, 1), datetime.date(2000, 1, 2)], dtype=object
+ )
+ a = MyIndex._simple_new(values)
+ other = pd.Index(other)
+ result = other + a
+ assert isinstance(result, MyIndex)
+ assert a._calls == 1
| This changes index ops to check the *type* of the argument in index
ops, rather than just the dtype. This lets index subclasses take control
of binary ops when they know better what the result should be.
Closes https://github.com/pandas-dev/pandas/issues/31109
cc @jbrockmendel, I've fixed this as close to the root of the problem as I could, but perhaps this case should be checked elsewhere? As written currently, it only affects add & sub between an Index and a datelike index, but perhaps it should be done more generally? | https://api.github.com/repos/pandas-dev/pandas/pulls/31136 | 2020-01-19T17:48:06Z | 2020-01-28T20:57:19Z | 2020-01-28T20:57:19Z | 2020-01-28T21:14:13Z |
REF/BUG: Index.get_value called incorrectly, de-duplicate+simplify | diff --git a/pandas/core/indexes/base.py b/pandas/core/indexes/base.py
index 5ce2b06ed7dbd..ae9aacb8f5301 100644
--- a/pandas/core/indexes/base.py
+++ b/pandas/core/indexes/base.py
@@ -68,7 +68,6 @@
from pandas.core.arrays import ExtensionArray
from pandas.core.base import IndexOpsMixin, PandasObject
import pandas.core.common as com
-from pandas.core.construction import extract_array
from pandas.core.indexers import maybe_convert_indices
from pandas.core.indexes.frozen import FrozenList
import pandas.core.missing as missing
@@ -4618,48 +4617,40 @@ def get_value(self, series, key):
# would convert to numpy arrays and raise later any way) - GH29926
raise InvalidIndexError(key)
- # if we have something that is Index-like, then
- # use this, e.g. DatetimeIndex
- # Things like `Series._get_value` (via .at) pass the EA directly here.
- s = extract_array(series, extract_numpy=True)
- if isinstance(s, ExtensionArray):
+ try:
# GH 20882, 21257
# First try to convert the key to a location
# If that fails, raise a KeyError if an integer
# index, otherwise, see if key is an integer, and
# try that
- try:
- iloc = self.get_loc(key)
- return s[iloc]
- except KeyError:
- if len(self) > 0 and (self.holds_integer() or self.is_boolean()):
- raise
- elif is_integer(key):
- return s[key]
-
- k = self._convert_scalar_indexer(key, kind="getitem")
- try:
- loc = self._engine.get_loc(k)
-
- except KeyError as e1:
+ loc = self._engine.get_loc(key)
+ except KeyError:
if len(self) > 0 and (self.holds_integer() or self.is_boolean()):
raise
-
- try:
- return libindex.get_value_at(s, key)
- except IndexError:
+ elif is_integer(key):
+ # If the Index cannot hold integer, then this is unambiguously
+ # a locational lookup.
+ loc = key
+ else:
raise
- except Exception:
- raise e1
- except TypeError:
- # e.g. "[False] is an invalid key"
- raise IndexError(key)
- else:
- if is_scalar(loc):
- tz = getattr(series.dtype, "tz", None)
- return libindex.get_value_at(s, loc, tz=tz)
- return series.iloc[loc]
+ return self._get_values_for_loc(series, loc)
+
+ def _get_values_for_loc(self, series, loc):
+ """
+ Do a positional lookup on the given Series, returning either a scalar
+ or a Series.
+
+ Assumes that `series.index is self`
+ """
+ if is_integer(loc):
+ if isinstance(series._values, np.ndarray):
+ # Since we have an ndarray and not DatetimeArray, we dont
+ # have to worry about a tz.
+ return libindex.get_value_at(series._values, loc, tz=None)
+ return series._values[loc]
+
+ return series.iloc[loc]
def set_value(self, arr, key, value):
"""
diff --git a/pandas/core/indexes/datetimes.py b/pandas/core/indexes/datetimes.py
index 91b9aa63c6a8e..53e3cc436d513 100644
--- a/pandas/core/indexes/datetimes.py
+++ b/pandas/core/indexes/datetimes.py
@@ -667,9 +667,8 @@ def get_value(self, series, key):
return com.maybe_box(self, value, series, key)
def get_value_maybe_box(self, series, key):
- key = self._maybe_cast_for_get_loc(key)
- values = self._engine.get_value(com.values_from_object(series), key, tz=self.tz)
- return com.maybe_box(self, values, series, key)
+ loc = self.get_loc(key)
+ return self._get_values_for_loc(series, loc)
def get_loc(self, key, method=None, tolerance=None):
"""
diff --git a/pandas/core/indexes/timedeltas.py b/pandas/core/indexes/timedeltas.py
index e7427438828a8..45f98eaf34e40 100644
--- a/pandas/core/indexes/timedeltas.py
+++ b/pandas/core/indexes/timedeltas.py
@@ -259,8 +259,8 @@ def get_value(self, series, key):
return com.maybe_box(self, value, series, key)
def get_value_maybe_box(self, series, key: Timedelta):
- values = self._engine.get_value(com.values_from_object(series), key)
- return com.maybe_box(self, values, series, key)
+ loc = self.get_loc(key)
+ return self._get_values_for_loc(series, loc)
def get_loc(self, key, method=None, tolerance=None):
"""
diff --git a/pandas/tests/indexes/datetimes/test_indexing.py b/pandas/tests/indexes/datetimes/test_indexing.py
index 4c600e510790a..f3c255d50aba1 100644
--- a/pandas/tests/indexes/datetimes/test_indexing.py
+++ b/pandas/tests/indexes/datetimes/test_indexing.py
@@ -621,17 +621,21 @@ def test_get_value(self):
# specifically make sure we have test for np.datetime64 key
dti = pd.date_range("2016-01-01", periods=3)
- arr = np.arange(6, 8)
+ arr = np.arange(6, 9)
+ ser = pd.Series(arr, index=dti)
key = dti[1]
- result = dti.get_value(arr, key)
+ with pytest.raises(AttributeError, match="has no attribute '_values'"):
+ dti.get_value(arr, key)
+
+ result = dti.get_value(ser, key)
assert result == 7
- result = dti.get_value(arr, key.to_pydatetime())
+ result = dti.get_value(ser, key.to_pydatetime())
assert result == 7
- result = dti.get_value(arr, key.to_datetime64())
+ result = dti.get_value(ser, key.to_datetime64())
assert result == 7
def test_get_loc(self):
diff --git a/pandas/tests/indexes/test_base.py b/pandas/tests/indexes/test_base.py
index 1047c457d6b82..d40a2257771a2 100644
--- a/pandas/tests/indexes/test_base.py
+++ b/pandas/tests/indexes/test_base.py
@@ -1915,7 +1915,12 @@ def test_get_value(self, index):
values = np.random.randn(100)
value = index[67]
- tm.assert_almost_equal(index.get_value(values, value), values[67])
+ with pytest.raises(AttributeError, match="has no attribute '_values'"):
+ # Index.get_value requires a Series, not an ndarray
+ index.get_value(values, value)
+
+ result = index.get_value(Series(values, index=values), value)
+ tm.assert_almost_equal(result, values[67])
@pytest.mark.parametrize("values", [["foo", "bar", "quux"], {"foo", "bar", "quux"}])
@pytest.mark.parametrize(
| Also engine.get_value is being called incorrectly in DTI/TDI, which this fixes. | https://api.github.com/repos/pandas-dev/pandas/pulls/31134 | 2020-01-19T16:50:53Z | 2020-01-20T15:32:58Z | 2020-01-20T15:32:58Z | 2020-01-20T16:24:29Z |
BUG: Break reference from grouping level to MI | diff --git a/pandas/core/indexes/multi.py b/pandas/core/indexes/multi.py
index 8682af6ab6369..b684908c25fe5 100644
--- a/pandas/core/indexes/multi.py
+++ b/pandas/core/indexes/multi.py
@@ -1256,6 +1256,10 @@ def _get_grouper_for_level(self, mapper, level):
if len(uniques) < len(level_index):
# Remove unobserved levels from level_index
level_index = level_index.take(uniques)
+ else:
+ # break references back to us so that setting the name
+ # on the output of a groupby doesn't reflect back here.
+ level_index = level_index.copy()
if len(level_index):
grouper = level_index.take(codes)
diff --git a/pandas/tests/groupby/test_apply.py b/pandas/tests/groupby/test_apply.py
index e81ff37510dc0..708d3429285a8 100644
--- a/pandas/tests/groupby/test_apply.py
+++ b/pandas/tests/groupby/test_apply.py
@@ -775,3 +775,20 @@ def most_common_values(df):
["17661101"], index=pd.DatetimeIndex(["2015-02-24"], name="day"), name="userId"
)
tm.assert_series_equal(result, expected)
+
+
+@pytest.mark.parametrize("category", [False, True])
+def test_apply_multi_level_name(category):
+ # https://github.com/pandas-dev/pandas/issues/31068
+ b = [1, 2] * 5
+ if category:
+ b = pd.Categorical(b, categories=[1, 2, 3])
+ df = pd.DataFrame(
+ {"A": np.arange(10), "B": b, "C": list(range(10)), "D": list(range(10))}
+ ).set_index(["A", "B"])
+ result = df.groupby("B").apply(lambda x: x.sum())
+ expected = pd.DataFrame(
+ {"C": [20, 25], "D": [20, 25]}, index=pd.Index([1, 2], name="B")
+ )
+ tm.assert_frame_equal(result, expected)
+ assert df.index.names == ["A", "B"]
| Closes https://github.com/pandas-dev/pandas/issues/31068 | https://api.github.com/repos/pandas-dev/pandas/pulls/31133 | 2020-01-19T16:29:18Z | 2020-01-20T22:25:34Z | 2020-01-20T22:25:33Z | 2020-01-20T22:25:40Z |
TST: Implement external error raised helper function. | diff --git a/pandas/_testing.py b/pandas/_testing.py
index 631d550c60534..13af8703cef93 100644
--- a/pandas/_testing.py
+++ b/pandas/_testing.py
@@ -8,7 +8,7 @@
from shutil import rmtree
import string
import tempfile
-from typing import Any, List, Optional, Union, cast
+from typing import Any, Callable, List, Optional, Type, Union, cast
import warnings
import zipfile
@@ -2757,3 +2757,24 @@ def convert_rows_list_to_csv_str(rows_list: List[str]):
sep = os.linesep
expected = sep.join(rows_list) + sep
return expected
+
+
+def external_error_raised(
+ expected_exception: Type[Exception],
+) -> Callable[[Type[Exception], None], None]:
+ """
+ Helper function to mark pytest.raises that have an external error message.
+
+ Parameters
+ ----------
+ expected_exception : Exception
+ Expected error to raise.
+
+ Returns
+ -------
+ Callable
+ Regular `pytest.raises` function with `match` equal to `None`.
+ """
+ import pytest
+
+ return pytest.raises(expected_exception, match=None)
diff --git a/pandas/tests/util/test_util.py b/pandas/tests/util/test_util.py
index 6a19adef728e4..8860e6fe272ce 100644
--- a/pandas/tests/util/test_util.py
+++ b/pandas/tests/util/test_util.py
@@ -76,3 +76,8 @@ def test_rng_context():
with tm.RNGContext(1):
assert np.random.randn() == expected1
assert np.random.randn() == expected0
+
+
+def test_external_error_raised():
+ with tm.external_error_raised(TypeError):
+ raise TypeError("Should not check this error message, so it will pass")
| - [x] ref #30999
- [x] tests added / passed
- [x] passes `black pandas`
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [ ] whatsnew entry
Opened PR for what @gfyoung wrote [here](https://github.com/pandas-dev/pandas/issues/30999#issuecomment-575426086) | https://api.github.com/repos/pandas-dev/pandas/pulls/31130 | 2020-01-19T02:55:19Z | 2020-02-07T18:45:13Z | 2020-02-07T18:45:12Z | 2020-02-14T09:05:38Z |
REF: share code between Int64Index and UInt64Index | diff --git a/pandas/core/indexes/numeric.py b/pandas/core/indexes/numeric.py
index a8c2303d65361..def77ffbea591 100644
--- a/pandas/core/indexes/numeric.py
+++ b/pandas/core/indexes/numeric.py
@@ -231,6 +231,8 @@ class IntegerIndex(NumericIndex):
This is an abstract class for Int64Index, UInt64Index.
"""
+ _default_dtype: np.dtype
+
def __contains__(self, key) -> bool:
"""
Check if key is a float and has a decimal. If it has, return False.
@@ -243,26 +245,17 @@ def __contains__(self, key) -> bool:
except (OverflowError, TypeError, ValueError):
return False
-
-class Int64Index(IntegerIndex):
- __doc__ = _num_index_shared_docs["class_descr"] % _int64_descr_args
-
- _typ = "int64index"
- _can_hold_na = False
- _engine_type = libindex.Int64Engine
- _default_dtype = np.int64
-
@property
def inferred_type(self) -> str:
"""
- Always 'integer' for ``Int64Index``
+ Always 'integer' for ``Int64Index`` and ``UInt64Index``
"""
return "integer"
@property
def asi8(self) -> np.ndarray:
# do not cache or you'll create a memory leak
- return self.values.view("i8")
+ return self.values.view(self._default_dtype)
@Appender(_index_shared_docs["_convert_scalar_indexer"])
def _convert_scalar_indexer(self, key, kind=None):
@@ -273,6 +266,15 @@ def _convert_scalar_indexer(self, key, kind=None):
key = self._maybe_cast_indexer(key)
return super()._convert_scalar_indexer(key, kind=kind)
+
+class Int64Index(IntegerIndex):
+ __doc__ = _num_index_shared_docs["class_descr"] % _int64_descr_args
+
+ _typ = "int64index"
+ _can_hold_na = False
+ _engine_type = libindex.Int64Engine
+ _default_dtype = np.dtype(np.int64)
+
def _wrap_joined_index(self, joined, other):
name = get_op_result_name(self, other)
return Int64Index(joined, name=name)
@@ -307,28 +309,7 @@ class UInt64Index(IntegerIndex):
_typ = "uint64index"
_can_hold_na = False
_engine_type = libindex.UInt64Engine
- _default_dtype = np.uint64
-
- @property
- def inferred_type(self) -> str:
- """
- Always 'integer' for ``UInt64Index``
- """
- return "integer"
-
- @property
- def asi8(self) -> np.ndarray:
- # do not cache or you'll create a memory leak
- return self.values.view("u8")
-
- @Appender(_index_shared_docs["_convert_scalar_indexer"])
- def _convert_scalar_indexer(self, key, kind=None):
- assert kind in ["loc", "getitem", "iloc", None]
-
- # don't coerce ilocs to integers
- if kind != "iloc":
- key = self._maybe_cast_indexer(key)
- return super()._convert_scalar_indexer(key, kind=kind)
+ _default_dtype = np.dtype(np.uint64)
@Appender(_index_shared_docs["_convert_arr_indexer"])
def _convert_arr_indexer(self, keyarr):
| https://api.github.com/repos/pandas-dev/pandas/pulls/31129 | 2020-01-19T00:05:47Z | 2020-01-19T20:56:06Z | 2020-01-19T20:56:05Z | 2020-01-19T20:57:12Z | |
REF: require PeriodArray in PeriodIndex._simple_new | diff --git a/pandas/core/indexes/datetimelike.py b/pandas/core/indexes/datetimelike.py
index bf1272b223f70..d262fcdc92ebf 100644
--- a/pandas/core/indexes/datetimelike.py
+++ b/pandas/core/indexes/datetimelike.py
@@ -193,20 +193,21 @@ def sort_values(self, return_indexer=False, ascending=True):
# because the treatment of NaT has been changed to put NaT last
# instead of first.
sorted_values = np.sort(self.asi8)
- attribs = self._get_attributes_dict()
- freq = attribs["freq"]
+ freq = self.freq
if freq is not None and not is_period_dtype(self):
if freq.n > 0 and not ascending:
freq = freq * -1
elif freq.n < 0 and ascending:
freq = freq * -1
- attribs["freq"] = freq
if not ascending:
sorted_values = sorted_values[::-1]
- return self._simple_new(sorted_values, **attribs)
+ arr = type(self._data)._simple_new(
+ sorted_values, dtype=self.dtype, freq=freq
+ )
+ return self._simple_new(arr, name=self.name)
@Appender(_index_shared_docs["take"] % _index_doc_kwargs)
def take(self, indices, axis=0, allow_fill=True, fill_value=None, **kwargs):
@@ -503,22 +504,21 @@ def _concat_same_dtype(self, to_concat, name):
"""
Concatenate to_concat which has the same class.
"""
- attribs = self._get_attributes_dict()
- attribs["name"] = name
+
# do not pass tz to set because tzlocal cannot be hashed
if len({str(x.dtype) for x in to_concat}) != 1:
raise ValueError("to_concat must have the same tz")
- new_data = type(self._values)._concat_same_type(to_concat).asi8
+ new_data = type(self._data)._concat_same_type(to_concat)
- # GH 3232: If the concat result is evenly spaced, we can retain the
- # original frequency
- is_diff_evenly_spaced = len(unique_deltas(new_data)) == 1
- if not is_period_dtype(self) and not is_diff_evenly_spaced:
- # reset freq
- attribs["freq"] = None
+ if not is_period_dtype(self.dtype):
+ # GH 3232: If the concat result is evenly spaced, we can retain the
+ # original frequency
+ is_diff_evenly_spaced = len(unique_deltas(new_data.asi8)) == 1
+ if is_diff_evenly_spaced:
+ new_data._freq = self.freq
- return self._simple_new(new_data, **attribs)
+ return self._simple_new(new_data, name=name)
def shift(self, periods=1, freq=None):
"""
diff --git a/pandas/core/indexes/period.py b/pandas/core/indexes/period.py
index 35f96e61704f0..20e390f2dc7d9 100644
--- a/pandas/core/indexes/period.py
+++ b/pandas/core/indexes/period.py
@@ -15,7 +15,6 @@
is_datetime64_any_dtype,
is_dtype_equal,
is_float,
- is_float_dtype,
is_integer,
is_integer_dtype,
is_list_like,
@@ -234,21 +233,12 @@ def _simple_new(cls, values, name=None, freq=None, **kwargs):
Parameters
----------
- values : PeriodArray, PeriodIndex, Index[int64], ndarray[int64]
+ values : PeriodArray
Values that can be converted to a PeriodArray without inference
or coercion.
-
"""
- # TODO: raising on floats is tested, but maybe not useful.
- # Should the callers know not to pass floats?
- # At the very least, I think we can ensure that lists aren't passed.
- if isinstance(values, list):
- values = np.asarray(values)
- if is_float_dtype(values):
- raise TypeError("PeriodIndex._simple_new does not accept floats.")
- if freq:
- freq = Period._maybe_convert_freq(freq)
- values = PeriodArray(values, freq=freq)
+ assert isinstance(values, PeriodArray), type(values)
+ assert freq is None or freq == values.freq, (freq, values.freq)
result = object.__new__(cls)
result._data = values
@@ -834,7 +824,9 @@ def _union(self, other, sort):
def _apply_meta(self, rawarr):
if not isinstance(rawarr, PeriodIndex):
- rawarr = PeriodIndex._simple_new(rawarr, freq=self.freq, name=self.name)
+ if not isinstance(rawarr, PeriodArray):
+ rawarr = PeriodArray(rawarr, freq=self.freq)
+ rawarr = PeriodIndex._simple_new(rawarr, name=self.name)
return rawarr
def memory_usage(self, deep=False):
diff --git a/pandas/tests/arrays/test_datetimelike.py b/pandas/tests/arrays/test_datetimelike.py
index fa45db93c6102..87b825c8c27bd 100644
--- a/pandas/tests/arrays/test_datetimelike.py
+++ b/pandas/tests/arrays/test_datetimelike.py
@@ -65,8 +65,8 @@ def test_compare_len1_raises(self):
# to the case where one has length-1, which numpy would broadcast
data = np.arange(10, dtype="i8") * 24 * 3600 * 10 ** 9
- idx = self.index_cls._simple_new(data, freq="D")
- arr = self.array_cls(idx)
+ idx = self.array_cls._simple_new(data, freq="D")
+ arr = self.index_cls(idx)
with pytest.raises(ValueError, match="Lengths must match"):
arr == arr[:1]
@@ -79,8 +79,8 @@ def test_take(self):
data = np.arange(100, dtype="i8") * 24 * 3600 * 10 ** 9
np.random.shuffle(data)
- idx = self.index_cls._simple_new(data, freq="D")
- arr = self.array_cls(idx)
+ arr = self.array_cls._simple_new(data, freq="D")
+ idx = self.index_cls._simple_new(arr)
takers = [1, 4, 94]
result = arr.take(takers)
@@ -97,8 +97,7 @@ def test_take(self):
def test_take_fill(self):
data = np.arange(10, dtype="i8") * 24 * 3600 * 10 ** 9
- idx = self.index_cls._simple_new(data, freq="D")
- arr = self.array_cls(idx)
+ arr = self.array_cls._simple_new(data, freq="D")
result = arr.take([-1, 1], allow_fill=True, fill_value=None)
assert result[0] is pd.NaT
@@ -121,7 +120,9 @@ def test_take_fill(self):
def test_concat_same_type(self):
data = np.arange(10, dtype="i8") * 24 * 3600 * 10 ** 9
- idx = self.index_cls._simple_new(data, freq="D").insert(0, pd.NaT)
+ arr = self.array_cls._simple_new(data, freq="D")
+ idx = self.index_cls(arr)
+ idx = idx.insert(0, pd.NaT)
arr = self.array_cls(idx)
result = arr._concat_same_type([arr[:-1], arr[1:], arr])
diff --git a/pandas/tests/indexes/period/test_constructors.py b/pandas/tests/indexes/period/test_constructors.py
index 27ee915e48e5c..dcd3c8e946e9a 100644
--- a/pandas/tests/indexes/period/test_constructors.py
+++ b/pandas/tests/indexes/period/test_constructors.py
@@ -322,22 +322,33 @@ def test_constructor_mixed(self):
def test_constructor_simple_new(self):
idx = period_range("2007-01", name="p", periods=2, freq="M")
- result = idx._simple_new(idx, name="p", freq=idx.freq)
+
+ with pytest.raises(AssertionError, match="<class .*PeriodIndex'>"):
+ idx._simple_new(idx, name="p", freq=idx.freq)
+
+ result = idx._simple_new(idx._data, name="p", freq=idx.freq)
tm.assert_index_equal(result, idx)
- result = idx._simple_new(idx.astype("i8"), name="p", freq=idx.freq)
+ with pytest.raises(AssertionError):
+ # Need ndarray, not Int64Index
+ type(idx._data)._simple_new(idx.astype("i8"), freq=idx.freq)
+
+ arr = type(idx._data)._simple_new(idx.asi8, freq=idx.freq)
+ result = idx._simple_new(arr, name="p")
tm.assert_index_equal(result, idx)
def test_constructor_simple_new_empty(self):
# GH13079
idx = PeriodIndex([], freq="M", name="p")
- result = idx._simple_new(idx, name="p", freq="M")
+ with pytest.raises(AssertionError, match="<class .*PeriodIndex'>"):
+ idx._simple_new(idx, name="p", freq="M")
+
+ result = idx._simple_new(idx._data, name="p", freq="M")
tm.assert_index_equal(result, idx)
@pytest.mark.parametrize("floats", [[1.1, 2.1], np.array([1.1, 2.1])])
def test_constructor_floats(self, floats):
- msg = r"PeriodIndex\._simple_new does not accept floats"
- with pytest.raises(TypeError, match=msg):
+ with pytest.raises(AssertionError, match="<class "):
pd.PeriodIndex._simple_new(floats, freq="M")
msg = "PeriodIndex does not allow floating point in construction"
| https://api.github.com/repos/pandas-dev/pandas/pulls/31128 | 2020-01-18T21:30:41Z | 2020-01-20T15:35:42Z | 2020-01-20T15:35:42Z | 2020-01-20T16:30:24Z | |
TYP: DataFrame.(index|columns) and Series.index | diff --git a/doc/source/whatsnew/v1.0.0.rst b/doc/source/whatsnew/v1.0.0.rst
index ec6ad38bbc7cf..04607531fb2ce 100755
--- a/doc/source/whatsnew/v1.0.0.rst
+++ b/doc/source/whatsnew/v1.0.0.rst
@@ -687,7 +687,6 @@ Other API changes
- :meth:`Series.str.__iter__` was deprecated and will be removed in future releases (:issue:`28277`).
- Added ``<NA>`` to the list of default NA values for :meth:`read_csv` (:issue:`30821`)
-
.. _whatsnew_100.api.documentation:
Documentation Improvements
diff --git a/doc/source/whatsnew/v1.1.0.rst b/doc/source/whatsnew/v1.1.0.rst
index c8e811ce82b1f..a2627baaab101 100644
--- a/doc/source/whatsnew/v1.1.0.rst
+++ b/doc/source/whatsnew/v1.1.0.rst
@@ -55,7 +55,12 @@ Other API changes
- :meth:`Series.describe` will now show distribution percentiles for ``datetime`` dtypes, statistics ``first`` and ``last``
will now be ``min`` and ``max`` to match with numeric dtypes in :meth:`DataFrame.describe` (:issue:`30164`)
-
--
+
+Backwards incompatible API changes
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+- :meth:`DataFrame.swaplevels` now raises a ``TypeError`` if the axis is not a :class:`MultiIndex`.
+ Previously a ``AttributeError`` was raised (:issue:`31126`)
+
.. ---------------------------------------------------------------------------
diff --git a/pandas/core/frame.py b/pandas/core/frame.py
index 4257083cc8dc5..d2ea2623f108b 100644
--- a/pandas/core/frame.py
+++ b/pandas/core/frame.py
@@ -38,7 +38,7 @@
from pandas._config import get_option
-from pandas._libs import algos as libalgos, lib
+from pandas._libs import algos as libalgos, lib, properties
from pandas._typing import Axes, Axis, Dtype, FilePathOrBuffer, Level, Renamer
from pandas.compat import PY37
from pandas.compat._optional import import_optional_dependency
@@ -91,8 +91,10 @@
)
from pandas.core.dtypes.generic import (
ABCDataFrame,
+ ABCDatetimeIndex,
ABCIndexClass,
ABCMultiIndex,
+ ABCPeriodIndex,
ABCSeries,
)
from pandas.core.dtypes.missing import isna, notna
@@ -394,6 +396,7 @@ class DataFrame(NDFrame):
2 7 8 9
"""
+ _internal_names_set = {"columns", "index"} | NDFrame._internal_names_set
_typ = "dataframe"
@property
@@ -5290,9 +5293,15 @@ def swaplevel(self, i=-2, j=-1, axis=0) -> "DataFrame":
result = self.copy()
axis = self._get_axis_number(axis)
+
+ if not isinstance(result._get_axis(axis), ABCMultiIndex): # pragma: no cover
+ raise TypeError("Can only swap levels on a hierarchical axis.")
+
if axis == 0:
+ assert isinstance(result.index, ABCMultiIndex)
result.index = result.index.swaplevel(i, j)
else:
+ assert isinstance(result.columns, ABCMultiIndex)
result.columns = result.columns.swaplevel(i, j)
return result
@@ -5319,8 +5328,10 @@ def reorder_levels(self, order, axis=0) -> "DataFrame":
result = self.copy()
if axis == 0:
+ assert isinstance(result.index, ABCMultiIndex)
result.index = result.index.reorder_levels(order)
else:
+ assert isinstance(result.columns, ABCMultiIndex)
result.columns = result.columns.reorder_levels(order)
return result
@@ -8344,8 +8355,10 @@ def to_timestamp(self, freq=None, how="start", axis=0, copy=True) -> "DataFrame"
axis = self._get_axis_number(axis)
if axis == 0:
+ assert isinstance(self.index, (ABCDatetimeIndex, ABCPeriodIndex))
new_data.set_axis(1, self.index.to_timestamp(freq=freq, how=how))
elif axis == 1:
+ assert isinstance(self.columns, (ABCDatetimeIndex, ABCPeriodIndex))
new_data.set_axis(0, self.columns.to_timestamp(freq=freq, how=how))
else: # pragma: no cover
raise AssertionError(f"Axis must be 0 or 1. Got {axis}")
@@ -8378,8 +8391,10 @@ def to_period(self, freq=None, axis=0, copy=True) -> "DataFrame":
axis = self._get_axis_number(axis)
if axis == 0:
+ assert isinstance(self.index, ABCDatetimeIndex)
new_data.set_axis(1, self.index.to_period(freq=freq))
elif axis == 1:
+ assert isinstance(self.columns, ABCDatetimeIndex)
new_data.set_axis(0, self.columns.to_period(freq=freq))
else: # pragma: no cover
raise AssertionError(f"Axis must be 0 or 1. Got {axis}")
@@ -8482,6 +8497,15 @@ def isin(self, values) -> "DataFrame":
self.columns,
)
+ # ----------------------------------------------------------------------
+ # Add index and columns
+ index: "Index" = properties.AxisProperty(
+ axis=1, doc="The index (row labels) of the DataFrame."
+ )
+ columns: "Index" = properties.AxisProperty(
+ axis=0, doc="The column labels of the DataFrame."
+ )
+
# ----------------------------------------------------------------------
# Add plotting methods to DataFrame
plot = CachedAccessor("plot", pandas.plotting.PlotAccessor)
diff --git a/pandas/core/generic.py b/pandas/core/generic.py
index 6c04212e26924..6ca461241d4e1 100644
--- a/pandas/core/generic.py
+++ b/pandas/core/generic.py
@@ -30,7 +30,7 @@
from pandas._config import config
-from pandas._libs import Timestamp, iNaT, lib, properties
+from pandas._libs import Timestamp, iNaT, lib
from pandas._typing import (
Axis,
Dtype,
@@ -333,18 +333,6 @@ def _setup_axes(cls, axes: List[str], docs: Dict[str, str]) -> None:
cls._info_axis_number = info_axis
cls._info_axis_name = axes[info_axis]
- # setup the actual axis
- def set_axis(a, i):
- setattr(cls, a, properties.AxisProperty(i, docs.get(a, a)))
- cls._internal_names_set.add(a)
-
- if axes_are_reversed:
- for i, a in cls._AXIS_NAMES.items():
- set_axis(a, 1 - i)
- else:
- for i, a in cls._AXIS_NAMES.items():
- set_axis(a, i)
-
def _construct_axes_dict(self, axes=None, **kwargs):
"""Return an axes dictionary for myself."""
d = {a: self._get_axis(a) for a in (axes or self._AXIS_ORDERS)}
@@ -5083,6 +5071,7 @@ def __finalize__(
self.attrs[name] = other.attrs[name]
# For subclasses using _metadata.
for name in self._metadata:
+ assert isinstance(name, str)
object.__setattr__(self, name, getattr(other, name, None))
return self
diff --git a/pandas/core/reshape/pivot.py b/pandas/core/reshape/pivot.py
index e250a072766e3..a5a9ec9fb79ba 100644
--- a/pandas/core/reshape/pivot.py
+++ b/pandas/core/reshape/pivot.py
@@ -134,13 +134,13 @@ def pivot_table(
table = agged.unstack(to_unstack)
if not dropna:
- if table.index.nlevels > 1:
+ if isinstance(table.index, MultiIndex):
m = MultiIndex.from_arrays(
cartesian_product(table.index.levels), names=table.index.names
)
table = table.reindex(m, axis=0)
- if table.columns.nlevels > 1:
+ if isinstance(table.columns, MultiIndex):
m = MultiIndex.from_arrays(
cartesian_product(table.columns.levels), names=table.columns.names
)
@@ -373,7 +373,7 @@ def _generate_marginal_results_without_values(
):
if len(cols) > 0:
# need to "interleave" the margins
- margin_keys = []
+ margin_keys: Union[List, Index] = []
def _all_key():
if len(cols) == 1:
diff --git a/pandas/core/series.py b/pandas/core/series.py
index ffe0642f799fa..dcc243bb1c601 100644
--- a/pandas/core/series.py
+++ b/pandas/core/series.py
@@ -22,7 +22,7 @@
from pandas._config import get_option
-from pandas._libs import index as libindex, lib, reshape, tslibs
+from pandas._libs import index as libindex, lib, properties, reshape, tslibs
from pandas._typing import Label
from pandas.compat.numpy import function as nv
from pandas.util._decorators import Appender, Substitution
@@ -46,6 +46,8 @@
from pandas.core.dtypes.generic import (
ABCDataFrame,
ABCDatetimeIndex,
+ ABCMultiIndex,
+ ABCPeriodIndex,
ABCSeries,
ABCSparseArray,
)
@@ -176,6 +178,7 @@ class Series(base.IndexOpsMixin, generic.NDFrame):
_name: Optional[Hashable]
_metadata: List[str] = ["name"]
+ _internal_names_set = {"index"} | generic.NDFrame._internal_names_set
_accessors = {"dt", "cat", "str", "sparse"}
_deprecations = (
base.IndexOpsMixin._deprecations
@@ -3347,6 +3350,7 @@ def swaplevel(self, i=-2, j=-1, copy=True) -> "Series":
Series
Series with levels swapped in MultiIndex.
"""
+ assert isinstance(self.index, ABCMultiIndex)
new_index = self.index.swaplevel(i, j)
return self._constructor(self._values, index=new_index, copy=copy).__finalize__(
self
@@ -3371,6 +3375,7 @@ def reorder_levels(self, order) -> "Series":
raise Exception("Can only reorder levels on a hierarchical axis.")
result = self.copy()
+ assert isinstance(result.index, ABCMultiIndex)
result.index = result.index.reorder_levels(order)
return result
@@ -4448,6 +4453,7 @@ def to_timestamp(self, freq=None, how="start", copy=True) -> "Series":
if copy:
new_values = new_values.copy()
+ assert isinstance(self.index, (ABCDatetimeIndex, ABCPeriodIndex))
new_index = self.index.to_timestamp(freq=freq, how=how)
return self._constructor(new_values, index=new_index).__finalize__(self)
@@ -4472,9 +4478,16 @@ def to_period(self, freq=None, copy=True) -> "Series":
if copy:
new_values = new_values.copy()
+ assert isinstance(self.index, ABCDatetimeIndex)
new_index = self.index.to_period(freq=freq)
return self._constructor(new_values, index=new_index).__finalize__(self)
+ # ----------------------------------------------------------------------
+ # Add index and columns
+ index: "Index" = properties.AxisProperty(
+ axis=0, doc="The index (axis labels) of the Series."
+ )
+
# ----------------------------------------------------------------------
# Accessor Methods
# ----------------------------------------------------------------------
diff --git a/pandas/io/formats/format.py b/pandas/io/formats/format.py
index 296b305f41dd2..c6496411ea9d0 100644
--- a/pandas/io/formats/format.py
+++ b/pandas/io/formats/format.py
@@ -57,10 +57,13 @@
is_timedelta64_dtype,
)
from pandas.core.dtypes.generic import (
+ ABCDatetimeIndex,
ABCIndexClass,
ABCMultiIndex,
+ ABCPeriodIndex,
ABCSeries,
ABCSparseArray,
+ ABCTimedeltaIndex,
)
from pandas.core.dtypes.missing import isna, notna
@@ -295,6 +298,9 @@ def _get_footer(self) -> str:
footer = ""
if getattr(self.series.index, "freq", None) is not None:
+ assert isinstance(
+ self.series.index, (ABCDatetimeIndex, ABCPeriodIndex, ABCTimedeltaIndex)
+ )
footer += "Freq: {freq}".format(freq=self.series.index.freqstr)
if self.name is not False and name is not None:
diff --git a/pandas/tests/test_multilevel.py b/pandas/tests/test_multilevel.py
index 1adc5011a0c31..ed9d0cffe2304 100644
--- a/pandas/tests/test_multilevel.py
+++ b/pandas/tests/test_multilevel.py
@@ -957,6 +957,10 @@ def test_swaplevel(self):
exp = self.frame.swaplevel("first", "second").T
tm.assert_frame_equal(swapped, exp)
+ msg = "Can only swap levels on a hierarchical axis."
+ with pytest.raises(TypeError, match=msg):
+ DataFrame(range(3)).swaplevel()
+
def test_reorder_levels(self):
result = self.ymd.reorder_levels(["month", "day", "year"])
expected = self.ymd.swaplevel(0, 1).swaplevel(1, 2)
| Makes mypy discover the ``.index`` and ``.columns`` attributes and that they're ``Index`` (sub-)classes.
This is done by manually adding the ``properties.AxisProperty`` to DataFrame/Series instead of doing it programatically, as mypy doesn't like adding attributes programatically very much. | https://api.github.com/repos/pandas-dev/pandas/pulls/31126 | 2020-01-18T18:23:05Z | 2020-01-24T01:19:03Z | 2020-01-24T01:19:03Z | 2020-01-24T20:20:14Z |
REF/CLN: Index.get_value wrapping incorrectly | diff --git a/pandas/core/indexes/base.py b/pandas/core/indexes/base.py
index a630938afeb8a..5ce2b06ed7dbd 100644
--- a/pandas/core/indexes/base.py
+++ b/pandas/core/indexes/base.py
@@ -4639,7 +4639,8 @@ def get_value(self, series, key):
k = self._convert_scalar_indexer(key, kind="getitem")
try:
- return self._engine.get_value(s, k, tz=getattr(series.dtype, "tz", None))
+ loc = self._engine.get_loc(k)
+
except KeyError as e1:
if len(self) > 0 and (self.holds_integer() or self.is_boolean()):
raise
@@ -4648,19 +4649,17 @@ def get_value(self, series, key):
return libindex.get_value_at(s, key)
except IndexError:
raise
- except TypeError:
- # generator/iterator-like
- if is_iterator(key):
- raise InvalidIndexError(key)
- else:
- raise e1
except Exception:
raise e1
except TypeError:
# e.g. "[False] is an invalid key"
- if is_scalar(key):
- raise IndexError(key)
- raise InvalidIndexError(key)
+ raise IndexError(key)
+
+ else:
+ if is_scalar(loc):
+ tz = getattr(series.dtype, "tz", None)
+ return libindex.get_value_at(s, loc, tz=tz)
+ return series.iloc[loc]
def set_value(self, arr, key, value):
"""
diff --git a/pandas/core/series.py b/pandas/core/series.py
index ec9475c6dcba9..580e3745136d7 100644
--- a/pandas/core/series.py
+++ b/pandas/core/series.py
@@ -815,18 +815,6 @@ def __getitem__(self, key):
try:
result = self.index.get_value(self, key)
- if not is_scalar(result):
- if is_list_like(result) and not isinstance(result, Series):
-
- # we need to box if loc of the key isn't scalar here
- # otherwise have inline ndarray/lists
- try:
- if not is_scalar(self.index.get_loc(key)):
- result = self._constructor(
- result, index=[key] * len(result), dtype=self.dtype
- ).__finalize__(self)
- except KeyError:
- pass
return result
except InvalidIndexError:
pass
| Index.get_value isn't wrapping non-scalar results correctly, as a result of which we have an ugly kludge in `Series.__getitem__` to do that wrapping. This fixes that. | https://api.github.com/repos/pandas-dev/pandas/pulls/31125 | 2020-01-18T17:48:11Z | 2020-01-18T19:39:00Z | 2020-01-18T19:39:00Z | 2020-01-18T19:54:03Z |
Backport PR #30553 on branch 1.0.x (TST/BUG: fix incorrectly-passing Exception in test_html) | diff --git a/pandas/io/html.py b/pandas/io/html.py
index eafcca0e85bb3..04f9f317d7dae 100644
--- a/pandas/io/html.py
+++ b/pandas/io/html.py
@@ -591,9 +591,14 @@ def _setup_build_doc(self):
def _build_doc(self):
from bs4 import BeautifulSoup
- return BeautifulSoup(
- self._setup_build_doc(), features="html5lib", from_encoding=self.encoding
- )
+ bdoc = self._setup_build_doc()
+ if isinstance(bdoc, bytes) and self.encoding is not None:
+ udoc = bdoc.decode(self.encoding)
+ from_encoding = None
+ else:
+ udoc = bdoc
+ from_encoding = self.encoding
+ return BeautifulSoup(udoc, features="html5lib", from_encoding=from_encoding)
def _build_xpath_expr(attrs) -> str:
diff --git a/pandas/tests/io/test_html.py b/pandas/tests/io/test_html.py
index 626df839363cb..7a814ce82fd73 100644
--- a/pandas/tests/io/test_html.py
+++ b/pandas/tests/io/test_html.py
@@ -1158,9 +1158,9 @@ def test_displayed_only(self, displayed_only, exp0, exp1):
assert len(dfs) == 1 # Should not parse hidden table
def test_encode(self, html_encoding_file):
- _, encoding = os.path.splitext(os.path.basename(html_encoding_file))[0].split(
- "_"
- )
+ base_path = os.path.basename(html_encoding_file)
+ root = os.path.splitext(base_path)[0]
+ _, encoding = root.split("_")
try:
with open(html_encoding_file, "rb") as fobj:
@@ -1183,7 +1183,7 @@ def test_encode(self, html_encoding_file):
if is_platform_windows():
if "16" in encoding or "32" in encoding:
pytest.skip()
- raise
+ raise
def test_parse_failure_unseekable(self):
# Issue #17975
| Backport PR #30553: TST/BUG: fix incorrectly-passing Exception in test_html | https://api.github.com/repos/pandas-dev/pandas/pulls/31124 | 2020-01-18T17:20:13Z | 2020-01-18T18:53:14Z | 2020-01-18T18:53:14Z | 2020-01-18T18:53:15Z |
CLN/BUG: Float64Index.get_loc | diff --git a/pandas/core/indexes/numeric.py b/pandas/core/indexes/numeric.py
index 566341d78c7ed..a8c2303d65361 100644
--- a/pandas/core/indexes/numeric.py
+++ b/pandas/core/indexes/numeric.py
@@ -488,17 +488,18 @@ def __contains__(self, other) -> bool:
@Appender(_index_shared_docs["get_loc"])
def get_loc(self, key, method=None, tolerance=None):
- try:
- if np.all(np.isnan(key)) or is_bool(key):
- nan_idxs = self._nan_idxs
- try:
- return nan_idxs.item()
- except ValueError:
- if not len(nan_idxs):
- raise KeyError(key)
- return nan_idxs
- except (TypeError, NotImplementedError):
- pass
+ if is_bool(key):
+ # Catch this to avoid accidentally casting to 1.0
+ raise KeyError(key)
+
+ if is_float(key) and np.isnan(key):
+ nan_idxs = self._nan_idxs
+ if not len(nan_idxs):
+ raise KeyError(key)
+ elif len(nan_idxs) == 1:
+ return nan_idxs[0]
+ return nan_idxs
+
return super().get_loc(key, method=method, tolerance=tolerance)
@cache_readonly
diff --git a/pandas/tests/indexes/multi/test_indexing.py b/pandas/tests/indexes/multi/test_indexing.py
index ad6f06d065150..9070eb3deffb5 100644
--- a/pandas/tests/indexes/multi/test_indexing.py
+++ b/pandas/tests/indexes/multi/test_indexing.py
@@ -396,7 +396,8 @@ def test_get_loc_missing_nan():
idx.get_loc(3)
with pytest.raises(KeyError, match=r"^nan$"):
idx.get_loc(np.nan)
- with pytest.raises(KeyError, match=r"^\[nan\]$"):
+ with pytest.raises(TypeError, match=r"'\[nan\]' is an invalid key"):
+ # listlike/non-hashable raises TypeError
idx.get_loc([np.nan])
diff --git a/pandas/tests/indexes/test_numeric.py b/pandas/tests/indexes/test_numeric.py
index 582f6c619d287..12cc51222e6bb 100644
--- a/pandas/tests/indexes/test_numeric.py
+++ b/pandas/tests/indexes/test_numeric.py
@@ -389,7 +389,8 @@ def test_get_loc_missing_nan(self):
idx.get_loc(3)
with pytest.raises(KeyError, match="^nan$"):
idx.get_loc(np.nan)
- with pytest.raises(KeyError, match=r"^\[nan\]$"):
+ with pytest.raises(TypeError, match=r"'\[nan\]' is an invalid key"):
+ # listlike/non-hashable raises TypeError
idx.get_loc([np.nan])
def test_contains_nans(self):
| - clean up unnecessary try/except
- the "bug" part is that ATM we incorrectly raise KeyError instead of TypeError on non-hashable. | https://api.github.com/repos/pandas-dev/pandas/pulls/31123 | 2020-01-18T17:12:32Z | 2020-01-18T23:24:04Z | 2020-01-18T23:24:04Z | 2020-01-19T00:29:29Z |
Backport PR #31097 on branch 1.0.x (DOC: Replace ggpy with plotnine in ecosystem) | diff --git a/doc/source/ecosystem.rst b/doc/source/ecosystem.rst
index 7bd5ba7ecdf0b..b1de406b33352 100644
--- a/doc/source/ecosystem.rst
+++ b/doc/source/ecosystem.rst
@@ -112,16 +112,14 @@ also goes beyond matplotlib and pandas with the option to perform statistical
estimation while plotting, aggregating across observations and visualizing the
fit of statistical models to emphasize patterns in a dataset.
-`yhat/ggpy <https://github.com/yhat/ggpy>`__
-~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+`plotnine <https://github.com/has2k1/plotnine/>`__
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Hadley Wickham's `ggplot2 <https://ggplot2.tidyverse.org/>`__ is a foundational exploratory visualization package for the R language.
Based on `"The Grammar of Graphics" <https://www.cs.uic.edu/~wilkinson/TheGrammarOfGraphics/GOG.html>`__ it
provides a powerful, declarative and extremely general way to generate bespoke plots of any kind of data.
-It's really quite incredible. Various implementations to other languages are available,
-but a faithful implementation for Python users has long been missing. Although still young
-(as of Jan-2014), the `yhat/ggpy <https://github.com/yhat/ggpy>`__ project has been
-progressing quickly in that direction.
+Various implementations to other languages are available.
+A good implementation for Python users is `has2k1/plotnine <https://github.com/has2k1/plotnine/>`__.
`IPython Vega <https://github.com/vega/ipyvega>`__
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
diff --git a/web/pandas/community/ecosystem.md b/web/pandas/community/ecosystem.md
index af6fd1ac77605..a707854c6ed2c 100644
--- a/web/pandas/community/ecosystem.md
+++ b/web/pandas/community/ecosystem.md
@@ -84,19 +84,16 @@ pandas with the option to perform statistical estimation while plotting,
aggregating across observations and visualizing the fit of statistical
models to emphasize patterns in a dataset.
-### [yhat/ggpy](https://github.com/yhat/ggpy)
+### [plotnine](https://github.com/has2k1/plotnine/)
Hadley Wickham's [ggplot2](https://ggplot2.tidyverse.org/) is a
foundational exploratory visualization package for the R language. Based
on ["The Grammar of
Graphics"](https://www.cs.uic.edu/~wilkinson/TheGrammarOfGraphics/GOG.html)
it provides a powerful, declarative and extremely general way to
-generate bespoke plots of any kind of data. It's really quite
-incredible. Various implementations to other languages are available,
-but a faithful implementation for Python users has long been missing.
-Although still young (as of Jan-2014), the
-[yhat/ggpy](https://github.com/yhat/ggpy) project has been progressing
-quickly in that direction.
+generate bespoke plots of any kind of data.
+Various implementations to other languages are available.
+A good implementation for Python users is [has2k1/plotnine](https://github.com/has2k1/plotnine/).
### [IPython Vega](https://github.com/vega/ipyvega)
| Backport PR #31097: DOC: Replace ggpy with plotnine in ecosystem | https://api.github.com/repos/pandas-dev/pandas/pulls/31122 | 2020-01-18T17:11:31Z | 2020-01-18T18:53:37Z | 2020-01-18T18:53:37Z | 2020-01-18T18:53:37Z |
Backport PR #30971 on branch 1.0.x (BUG: reductions for nullable dtypes should return pd.NA for skipna=False) | diff --git a/doc/source/whatsnew/v1.0.0.rst b/doc/source/whatsnew/v1.0.0.rst
index c423933d4c438..4d55ee1c1cfc2 100755
--- a/doc/source/whatsnew/v1.0.0.rst
+++ b/doc/source/whatsnew/v1.0.0.rst
@@ -483,6 +483,25 @@ Use :meth:`arrays.IntegerArray.to_numpy` with an explicit ``na_value`` instead.
a.to_numpy(dtype="float", na_value=np.nan)
+**Reductions can return ``pd.NA``**
+
+When performing a reduction such as a sum with ``skipna=False``, the result
+will now be ``pd.NA`` instead of ``np.nan`` in presence of missing values
+(:issue:`30958`).
+
+*pandas 0.25.x*
+
+.. code-block:: python
+
+ >>> pd.Series(a).sum(skipna=False)
+ nan
+
+*pandas 1.0.0*
+
+.. ipython:: python
+
+ pd.Series(a).sum(skipna=False)
+
**value_counts returns a nullable integer dtype**
:meth:`Series.value_counts` with a nullable integer dtype now returns a nullable
diff --git a/pandas/core/arrays/boolean.py b/pandas/core/arrays/boolean.py
index fa1cbc87cc5c1..eaa17df1235d3 100644
--- a/pandas/core/arrays/boolean.py
+++ b/pandas/core/arrays/boolean.py
@@ -670,13 +670,15 @@ def _reduce(self, name, skipna=True, **kwargs):
mask = self._mask
# coerce to a nan-aware float if needed
- if mask.any():
- data = self._data.astype("float64")
- data[mask] = np.nan
+ if self._hasna:
+ data = self.to_numpy("float64", na_value=np.nan)
op = getattr(nanops, "nan" + name)
result = op(data, axis=0, skipna=skipna, mask=mask, **kwargs)
+ if np.isnan(result):
+ return libmissing.NA
+
# if we have numeric op that would result in an int, coerce to int if possible
if name in ["sum", "prod"] and notna(result):
int_result = np.int64(result)
diff --git a/pandas/core/arrays/integer.py b/pandas/core/arrays/integer.py
index cb1e7115cd3c2..67036761bc62a 100644
--- a/pandas/core/arrays/integer.py
+++ b/pandas/core/arrays/integer.py
@@ -21,7 +21,7 @@
is_scalar,
)
from pandas.core.dtypes.dtypes import register_extension_dtype
-from pandas.core.dtypes.missing import isna, notna
+from pandas.core.dtypes.missing import isna
from pandas.core import nanops, ops
from pandas.core.ops import invalid_comparison
@@ -549,21 +549,23 @@ def _reduce(self, name, skipna=True, **kwargs):
mask = self._mask
# coerce to a nan-aware float if needed
- if mask.any():
- data = self._data.astype("float64")
- # We explicitly use NaN within reductions.
- data[mask] = np.nan
+ # (we explicitly use NaN within reductions)
+ if self._hasna:
+ data = self.to_numpy("float64", na_value=np.nan)
op = getattr(nanops, "nan" + name)
result = op(data, axis=0, skipna=skipna, mask=mask, **kwargs)
+ if np.isnan(result):
+ return libmissing.NA
+
# if we have a boolean op, don't coerce
if name in ["any", "all"]:
pass
# if we have a preservable numeric op,
# provide coercion back to an integer type if possible
- elif name in ["sum", "min", "max", "prod"] and notna(result):
+ elif name in ["sum", "min", "max", "prod"]:
int_result = int(result)
if int_result == result:
result = int_result
diff --git a/pandas/tests/extension/test_boolean.py b/pandas/tests/extension/test_boolean.py
index a7ce0fb097599..c489445d8512a 100644
--- a/pandas/tests/extension/test_boolean.py
+++ b/pandas/tests/extension/test_boolean.py
@@ -327,7 +327,9 @@ def check_reduce(self, s, op_name, skipna):
result = getattr(s, op_name)(skipna=skipna)
expected = getattr(s.astype("float64"), op_name)(skipna=skipna)
# override parent function to cast to bool for min/max
- if op_name in ("min", "max") and not pd.isna(expected):
+ if np.isnan(expected):
+ expected = pd.NA
+ elif op_name in ("min", "max"):
expected = bool(expected)
tm.assert_almost_equal(result, expected)
diff --git a/pandas/tests/extension/test_integer.py b/pandas/tests/extension/test_integer.py
index afb8412f12ea9..f55ec75b47dfa 100644
--- a/pandas/tests/extension/test_integer.py
+++ b/pandas/tests/extension/test_integer.py
@@ -19,6 +19,7 @@
from pandas.core.dtypes.common import is_extension_array_dtype
import pandas as pd
+import pandas._testing as tm
from pandas.core.arrays import integer_array
from pandas.core.arrays.integer import (
Int8Dtype,
@@ -233,7 +234,14 @@ class TestGroupby(base.BaseGroupbyTests):
class TestNumericReduce(base.BaseNumericReduceTests):
- pass
+ def check_reduce(self, s, op_name, skipna):
+ # overwrite to ensure pd.NA is tested instead of np.nan
+ # https://github.com/pandas-dev/pandas/issues/30958
+ result = getattr(s, op_name)(skipna=skipna)
+ expected = getattr(s.astype("float64"), op_name)(skipna=skipna)
+ if np.isnan(expected):
+ expected = pd.NA
+ tm.assert_almost_equal(result, expected)
class TestBooleanReduce(base.BaseBooleanReduceTests):
| Backport PR #30971: BUG: reductions for nullable dtypes should return pd.NA for skipna=False | https://api.github.com/repos/pandas-dev/pandas/pulls/31121 | 2020-01-18T15:35:49Z | 2020-01-18T16:23:51Z | 2020-01-18T16:23:51Z | 2020-01-18T16:23:52Z |
Backport PR #30977 on branch 1.0.x (JSON Date Handling 1.0 Regressions) | diff --git a/pandas/_libs/src/ujson/python/objToJSON.c b/pandas/_libs/src/ujson/python/objToJSON.c
index c413a16f8d5f0..c5ac279ed3243 100644
--- a/pandas/_libs/src/ujson/python/objToJSON.c
+++ b/pandas/_libs/src/ujson/python/objToJSON.c
@@ -456,8 +456,8 @@ static char *PyDateTimeToIso(PyDateTime_Date *obj, NPY_DATETIMEUNIT base,
static char *PyDateTimeToIsoCallback(JSOBJ obj, JSONTypeContext *tc,
size_t *len) {
- if (!PyDateTime_Check(obj)) {
- PyErr_SetString(PyExc_TypeError, "Expected datetime object");
+ if (!PyDate_Check(obj)) {
+ PyErr_SetString(PyExc_TypeError, "Expected date object");
return NULL;
}
@@ -469,7 +469,7 @@ static npy_datetime PyDateTimeToEpoch(PyObject *obj, NPY_DATETIMEUNIT base) {
npy_datetimestruct dts;
int ret;
- if (!PyDateTime_Check(obj)) {
+ if (!PyDate_Check(obj)) {
// TODO: raise TypeError
}
PyDateTime_Date *dt = (PyDateTime_Date *)obj;
@@ -1504,6 +1504,7 @@ char **NpyArr_encodeLabels(PyArrayObject *labels, PyObjectEncoder *enc,
char **ret;
char *dataptr, *cLabel;
int type_num;
+ NPY_DATETIMEUNIT base = enc->datetimeUnit;
PRINTMARK();
if (!labels) {
@@ -1541,32 +1542,10 @@ char **NpyArr_encodeLabels(PyArrayObject *labels, PyObjectEncoder *enc,
break;
}
- // TODO: vectorized timedelta solution
- if (enc->datetimeIso &&
- (type_num == NPY_TIMEDELTA || PyDelta_Check(item))) {
- PyObject *td = PyObject_CallFunction(cls_timedelta, "(O)", item);
- if (td == NULL) {
- Py_DECREF(item);
- NpyArr_freeLabels(ret, num);
- ret = 0;
- break;
- }
-
- PyObject *iso = PyObject_CallMethod(td, "isoformat", NULL);
- Py_DECREF(td);
- if (iso == NULL) {
- Py_DECREF(item);
- NpyArr_freeLabels(ret, num);
- ret = 0;
- break;
- }
-
- cLabel = (char *)PyUnicode_AsUTF8(iso);
- Py_DECREF(iso);
- len = strlen(cLabel);
- } else if (PyTypeNum_ISDATETIME(type_num)) {
- NPY_DATETIMEUNIT base = enc->datetimeUnit;
- npy_int64 longVal;
+ int is_datetimelike = 0;
+ npy_int64 nanosecVal;
+ if (PyTypeNum_ISDATETIME(type_num)) {
+ is_datetimelike = 1;
PyArray_VectorUnaryFunc *castfunc =
PyArray_GetCastFunc(PyArray_DescrFromType(type_num), NPY_INT64);
if (!castfunc) {
@@ -1574,27 +1553,74 @@ char **NpyArr_encodeLabels(PyArrayObject *labels, PyObjectEncoder *enc,
"Cannot cast numpy dtype %d to long",
enc->npyType);
}
- castfunc(dataptr, &longVal, 1, NULL, NULL);
- if (enc->datetimeIso) {
- cLabel = int64ToIso(longVal, base, &len);
+ castfunc(dataptr, &nanosecVal, 1, NULL, NULL);
+ } else if (PyDate_Check(item) || PyDelta_Check(item)) {
+ is_datetimelike = 1;
+ if (PyObject_HasAttrString(item, "value")) {
+ nanosecVal = get_long_attr(item, "value");
} else {
- if (!scaleNanosecToUnit(&longVal, base)) {
- // TODO: This gets hit but somehow doesn't cause errors
- // need to clean up (elsewhere in module as well)
+ if (PyDelta_Check(item)) {
+ nanosecVal = total_seconds(item) *
+ 1000000000LL; // nanoseconds per second
+ } else {
+ // datetime.* objects don't follow above rules
+ nanosecVal = PyDateTimeToEpoch(item, NPY_FR_ns);
}
- cLabel = PyObject_Malloc(21); // 21 chars for int64
- sprintf(cLabel, "%" NPY_INT64_FMT, longVal);
- len = strlen(cLabel);
}
- } else if (PyDateTime_Check(item) || PyDate_Check(item)) {
- NPY_DATETIMEUNIT base = enc->datetimeUnit;
- if (enc->datetimeIso) {
- cLabel = PyDateTimeToIso((PyDateTime_Date *)item, base, &len);
+ }
+
+ if (is_datetimelike) {
+ if (nanosecVal == get_nat()) {
+ len = 5; // TODO: shouldn't require extra space for terminator
+ cLabel = PyObject_Malloc(len);
+ strncpy(cLabel, "null", len);
} else {
- cLabel = PyObject_Malloc(21); // 21 chars for int64
- sprintf(cLabel, "%" NPY_DATETIME_FMT,
- PyDateTimeToEpoch(item, base));
- len = strlen(cLabel);
+ if (enc->datetimeIso) {
+ // TODO: Vectorized Timedelta function
+ if ((type_num == NPY_TIMEDELTA) || (PyDelta_Check(item))) {
+ PyObject *td =
+ PyObject_CallFunction(cls_timedelta, "(O)", item);
+ if (td == NULL) {
+ Py_DECREF(item);
+ NpyArr_freeLabels(ret, num);
+ ret = 0;
+ break;
+ }
+
+ PyObject *iso =
+ PyObject_CallMethod(td, "isoformat", NULL);
+ Py_DECREF(td);
+ if (iso == NULL) {
+ Py_DECREF(item);
+ NpyArr_freeLabels(ret, num);
+ ret = 0;
+ break;
+ }
+
+ len = strlen(PyUnicode_AsUTF8(iso));
+ cLabel = PyObject_Malloc(len + 1);
+ memcpy(cLabel, PyUnicode_AsUTF8(iso), len + 1);
+ Py_DECREF(iso);
+ } else {
+ if (type_num == NPY_DATETIME) {
+ cLabel = int64ToIso(nanosecVal, base, &len);
+ } else {
+ cLabel = PyDateTimeToIso((PyDateTime_Date *)item,
+ base, &len);
+ }
+ }
+ if (cLabel == NULL) {
+ Py_DECREF(item);
+ NpyArr_freeLabels(ret, num);
+ ret = 0;
+ break;
+ }
+ } else {
+ cLabel = PyObject_Malloc(21); // 21 chars for int64
+ sprintf(cLabel, "%" NPY_DATETIME_FMT,
+ NpyDateTimeToEpoch(nanosecVal, base));
+ len = strlen(cLabel);
+ }
}
} else { // Fallback to string representation
PyObject *str = PyObject_Str(item);
@@ -1615,6 +1641,10 @@ char **NpyArr_encodeLabels(PyArrayObject *labels, PyObjectEncoder *enc,
ret[i] = PyObject_Malloc(len + 1);
memcpy(ret[i], cLabel, len + 1);
+ if (is_datetimelike) {
+ PyObject_Free(cLabel);
+ }
+
if (PyErr_Occurred()) {
NpyArr_freeLabels(ret, num);
ret = 0;
diff --git a/pandas/tests/io/json/test_pandas.py b/pandas/tests/io/json/test_pandas.py
index e909a4952948c..bb873c71e8a35 100644
--- a/pandas/tests/io/json/test_pandas.py
+++ b/pandas/tests/io/json/test_pandas.py
@@ -1,4 +1,5 @@
from collections import OrderedDict
+import datetime
from datetime import timedelta
from io import StringIO
import json
@@ -810,6 +811,31 @@ def test_convert_dates(self):
result = read_json(json, typ="series")
tm.assert_series_equal(result, ts)
+ @pytest.mark.parametrize("date_format", ["epoch", "iso"])
+ @pytest.mark.parametrize("as_object", [True, False])
+ @pytest.mark.parametrize(
+ "date_typ", [datetime.date, datetime.datetime, pd.Timestamp]
+ )
+ def test_date_index_and_values(self, date_format, as_object, date_typ):
+ data = [date_typ(year=2020, month=1, day=1), pd.NaT]
+ if as_object:
+ data.append("a")
+
+ ser = pd.Series(data, index=data)
+ result = ser.to_json(date_format=date_format)
+
+ if date_format == "epoch":
+ expected = '{"1577836800000":1577836800000,"null":null}'
+ else:
+ expected = (
+ '{"2020-01-01T00:00:00.000Z":"2020-01-01T00:00:00.000Z","null":null}'
+ )
+
+ if as_object:
+ expected = expected.replace("}", ',"a":"a"}')
+
+ assert result == expected
+
@pytest.mark.parametrize(
"infer_word",
[
| Backport PR #30977: JSON Date Handling 1.0 Regressions | https://api.github.com/repos/pandas-dev/pandas/pulls/31120 | 2020-01-18T15:34:38Z | 2020-01-18T16:03:34Z | 2020-01-18T16:03:34Z | 2020-01-18T16:03:34Z |
BUG: concat not copying index and columns when copy=True | diff --git a/doc/source/whatsnew/v1.1.0.rst b/doc/source/whatsnew/v1.1.0.rst
index a04ba157ce0ae..8cbc95f0349cf 100644
--- a/doc/source/whatsnew/v1.1.0.rst
+++ b/doc/source/whatsnew/v1.1.0.rst
@@ -156,7 +156,7 @@ Reshaping
- Bug in :meth:`DataFrame.pivot_table` when ``margin`` is ``True`` and only ``column`` is defined (:issue:`31016`)
- Fix incorrect error message in :meth:`DataFrame.pivot` when ``columns`` is set to ``None``. (:issue:`30924`)
- Bug in :func:`crosstab` when inputs are two Series and have tuple names, the output will keep dummy MultiIndex as columns. (:issue:`18321`)
-
+- Bug in :func:`concat` where the resulting indices are not copied when ``copy=True`` (:issue:`29879`)
Sparse
^^^^^^
diff --git a/pandas/core/indexes/api.py b/pandas/core/indexes/api.py
index 4072d06b9427c..0a23d38ace37e 100644
--- a/pandas/core/indexes/api.py
+++ b/pandas/core/indexes/api.py
@@ -63,7 +63,7 @@
def get_objs_combined_axis(
- objs, intersect: bool = False, axis=0, sort: bool = True
+ objs, intersect: bool = False, axis=0, sort: bool = True, copy: bool = False
) -> Index:
"""
Extract combined index: return intersection or union (depending on the
@@ -81,13 +81,15 @@ def get_objs_combined_axis(
The axis to extract indexes from.
sort : bool, default True
Whether the result index should come out sorted or not.
+ copy : bool, default False
+ If True, return a copy of the combined index.
Returns
-------
Index
"""
obs_idxes = [obj._get_axis(axis) for obj in objs]
- return _get_combined_index(obs_idxes, intersect=intersect, sort=sort)
+ return _get_combined_index(obs_idxes, intersect=intersect, sort=sort, copy=copy)
def _get_distinct_objs(objs: List[Index]) -> List[Index]:
@@ -105,7 +107,10 @@ def _get_distinct_objs(objs: List[Index]) -> List[Index]:
def _get_combined_index(
- indexes: List[Index], intersect: bool = False, sort: bool = False
+ indexes: List[Index],
+ intersect: bool = False,
+ sort: bool = False,
+ copy: bool = False,
) -> Index:
"""
Return the union or intersection of indexes.
@@ -119,6 +124,8 @@ def _get_combined_index(
calculate the union.
sort : bool, default False
Whether the result index should come out sorted or not.
+ copy : bool, default False
+ If True, return a copy of the combined index.
Returns
-------
@@ -143,6 +150,11 @@ def _get_combined_index(
index = index.sort_values()
except TypeError:
pass
+
+ # GH 29879
+ if copy:
+ index = index.copy()
+
return index
diff --git a/pandas/core/reshape/concat.py b/pandas/core/reshape/concat.py
index 9528de36a3664..b42497b507e1f 100644
--- a/pandas/core/reshape/concat.py
+++ b/pandas/core/reshape/concat.py
@@ -517,7 +517,11 @@ def _get_new_axes(self) -> List[Index]:
def _get_comb_axis(self, i: int) -> Index:
data_axis = self.objs[0]._get_block_manager_axis(i)
return get_objs_combined_axis(
- self.objs, axis=data_axis, intersect=self.intersect, sort=self.sort
+ self.objs,
+ axis=data_axis,
+ intersect=self.intersect,
+ sort=self.sort,
+ copy=self.copy,
)
def _get_concat_axis(self) -> Index:
diff --git a/pandas/tests/reshape/test_concat.py b/pandas/tests/reshape/test_concat.py
index b3b2c5a05c6ad..5811f3bc196a1 100644
--- a/pandas/tests/reshape/test_concat.py
+++ b/pandas/tests/reshape/test_concat.py
@@ -2750,3 +2750,17 @@ def test_concat_sparse():
)
result = pd.concat([a, a], axis=1)
tm.assert_frame_equal(result, expected)
+
+
+@pytest.mark.parametrize("test_series", [True, False])
+def test_concat_copy_index(test_series, axis):
+ # GH 29879
+ if test_series:
+ ser = Series([1, 2])
+ comb = concat([ser, ser], axis=axis, copy=True)
+ assert comb.index is not ser.index
+ else:
+ df = DataFrame([[1, 2], [3, 4]], columns=["a", "b"])
+ comb = concat([df, df], axis=axis, copy=True)
+ assert comb.index is not df.index
+ assert comb.columns is not df.columns
| - [x] closes #29879
- [x] tests added / passed
- [x] passes `black pandas`
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [x] whatsnew entry
| https://api.github.com/repos/pandas-dev/pandas/pulls/31119 | 2020-01-18T07:48:20Z | 2020-01-21T10:50:47Z | 2020-01-21T10:50:47Z | 2020-01-21T10:59:50Z |
TYP: annotations | diff --git a/pandas/core/indexes/base.py b/pandas/core/indexes/base.py
index bb893bd2ffef6..bfa560ccae068 100644
--- a/pandas/core/indexes/base.py
+++ b/pandas/core/indexes/base.py
@@ -4566,7 +4566,7 @@ def shift(self, periods=1, freq=None):
"""
raise NotImplementedError(f"Not supported for type {type(self).__name__}")
- def argsort(self, *args, **kwargs):
+ def argsort(self, *args, **kwargs) -> np.ndarray:
"""
Return the integer indices that would sort the index.
@@ -5052,7 +5052,7 @@ def _searchsorted_monotonic(self, label, side="left"):
raise ValueError("index must be monotonic increasing or decreasing")
- def get_slice_bound(self, label, side, kind):
+ def get_slice_bound(self, label, side, kind) -> int:
"""
Calculate slice bound that corresponds to given label.
@@ -5217,7 +5217,7 @@ def delete(self, loc):
"""
return self._shallow_copy(np.delete(self._data, loc))
- def insert(self, loc, item):
+ def insert(self, loc: int, item):
"""
Make new Index inserting new item at location.
diff --git a/pandas/core/indexes/category.py b/pandas/core/indexes/category.py
index a247a986fcb55..a7afa78190d90 100644
--- a/pandas/core/indexes/category.py
+++ b/pandas/core/indexes/category.py
@@ -798,7 +798,7 @@ def delete(self, loc):
"""
return self._create_from_codes(np.delete(self.codes, loc))
- def insert(self, loc, item):
+ def insert(self, loc: int, item):
"""
Make new Index inserting new item at location. Follows
Python list.append semantics for negative values
diff --git a/pandas/core/indexes/interval.py b/pandas/core/indexes/interval.py
index 4df1d25c7ff0c..1b851ca38459a 100644
--- a/pandas/core/indexes/interval.py
+++ b/pandas/core/indexes/interval.py
@@ -468,7 +468,7 @@ def is_unique(self):
return True
@property
- def is_overlapping(self):
+ def is_overlapping(self) -> bool:
"""
Return True if the IntervalIndex has overlapping intervals, else False.
@@ -562,7 +562,7 @@ def _can_reindex(self, indexer: np.ndarray) -> None:
if self.is_overlapping and len(indexer):
raise ValueError("cannot reindex from an overlapping axis")
- def _needs_i8_conversion(self, key):
+ def _needs_i8_conversion(self, key) -> bool:
"""
Check if a given key needs i8 conversion. Conversion is necessary for
Timestamp, Timedelta, DatetimeIndex, and TimedeltaIndex keys. An
@@ -1036,7 +1036,7 @@ def _format_space(self) -> str:
# --------------------------------------------------------------------
- def argsort(self, *args, **kwargs):
+ def argsort(self, *args, **kwargs) -> np.ndarray:
return np.lexsort((self.right, self.left))
def equals(self, other) -> bool:
diff --git a/pandas/core/indexes/multi.py b/pandas/core/indexes/multi.py
index 21421a6f6ea62..10a2d9f68a7b6 100644
--- a/pandas/core/indexes/multi.py
+++ b/pandas/core/indexes/multi.py
@@ -2013,7 +2013,7 @@ def append(self, other):
except (TypeError, IndexError):
return Index(new_tuples)
- def argsort(self, *args, **kwargs):
+ def argsort(self, *args, **kwargs) -> np.ndarray:
return self.values.argsort(*args, **kwargs)
@Appender(_index_shared_docs["repeat"] % _index_doc_kwargs)
@@ -3135,7 +3135,7 @@ def equals(self, other) -> bool:
return True
- def equal_levels(self, other):
+ def equal_levels(self, other) -> bool:
"""
Return True if the levels of both MultiIndex objects are the same
@@ -3335,7 +3335,7 @@ def _convert_can_do_setop(self, other):
result_names = self.names if self.names == other.names else None
return other, result_names
- def insert(self, loc, item):
+ def insert(self, loc: int, item):
"""
Make new MultiIndex inserting new item at location
diff --git a/pandas/core/indexes/numeric.py b/pandas/core/indexes/numeric.py
index 53f96ace890fb..2638784f7b50d 100644
--- a/pandas/core/indexes/numeric.py
+++ b/pandas/core/indexes/numeric.py
@@ -160,7 +160,7 @@ def is_all_dates(self) -> bool:
return False
@Appender(Index.insert.__doc__)
- def insert(self, loc, item):
+ def insert(self, loc: int, item):
# treat NA values as nans:
if is_scalar(item) and isna(item):
item = self._na_value
diff --git a/pandas/core/indexes/range.py b/pandas/core/indexes/range.py
index 1629396796b85..67eb5c26fc83a 100644
--- a/pandas/core/indexes/range.py
+++ b/pandas/core/indexes/range.py
@@ -421,7 +421,7 @@ def max(self, axis=None, skipna=True, *args, **kwargs):
nv.validate_max(args, kwargs)
return self._minmax("max")
- def argsort(self, *args, **kwargs):
+ def argsort(self, *args, **kwargs) -> np.ndarray:
"""
Returns the indices that would sort the index and its
underlying data.
@@ -441,7 +441,7 @@ def argsort(self, *args, **kwargs):
else:
return np.arange(len(self) - 1, -1, -1)
- def equals(self, other):
+ def equals(self, other) -> bool:
"""
Determines if two Index objects contain the same elements.
"""
diff --git a/pandas/tseries/frequencies.py b/pandas/tseries/frequencies.py
index e2d007cd2d7f8..af34180fb3170 100644
--- a/pandas/tseries/frequencies.py
+++ b/pandas/tseries/frequencies.py
@@ -334,7 +334,7 @@ def is_unique(self) -> bool:
return len(self.deltas) == 1
@cache_readonly
- def is_unique_asi8(self):
+ def is_unique_asi8(self) -> bool:
return len(self.deltas_asi8) == 1
def get_freq(self) -> Optional[str]:
| Several of the Index subclasses are difficult to annotate, so I want to get the easy-ish parts to make it easier to focus on the pain points. | https://api.github.com/repos/pandas-dev/pandas/pulls/31115 | 2020-01-18T01:59:25Z | 2020-01-18T11:54:22Z | 2020-01-18T11:54:21Z | 2020-01-18T16:11:48Z |
CI: Adding script to validate consistent and correct capitalization among headings in documentation (#26941) | diff --git a/ci/code_checks.sh b/ci/code_checks.sh
index e2dc543360a62..18f701c140e50 100755
--- a/ci/code_checks.sh
+++ b/ci/code_checks.sh
@@ -320,6 +320,10 @@ if [[ -z "$CHECK" || "$CHECK" == "docstrings" ]]; then
$BASE_DIR/scripts/validate_docstrings.py --format=actions --errors=GL03,GL04,GL05,GL06,GL07,GL09,GL10,SS04,SS05,PR03,PR04,PR05,PR10,EX04,RT01,RT04,RT05,SA02,SA03,SA05
RET=$(($RET + $?)) ; echo $MSG "DONE"
+ MSG='Validate correct capitalization among titles in documentation' ; echo $MSG
+ $BASE_DIR/scripts/validate_rst_title_capitalization.py $BASE_DIR/doc/source/development/contributing.rst
+ RET=$(($RET + $?)) ; echo $MSG "DONE"
+
fi
### DEPENDENCIES ###
diff --git a/doc/source/development/contributing.rst b/doc/source/development/contributing.rst
index f904781178656..db9e23035b977 100644
--- a/doc/source/development/contributing.rst
+++ b/doc/source/development/contributing.rst
@@ -146,7 +146,7 @@ requires a C compiler and Python environment. If you're making documentation
changes, you can skip to :ref:`contributing.documentation` but you won't be able
to build the documentation locally before pushing your changes.
-Using a Docker Container
+Using a Docker container
~~~~~~~~~~~~~~~~~~~~~~~~
Instead of manually setting up a development environment, you can use Docker to
@@ -754,7 +754,7 @@ You can then verify the changes look ok, then git :ref:`commit <contributing.com
.. _contributing.pre-commit:
-Pre-Commit
+Pre-commit
~~~~~~~~~~
You can run many of these styling checks manually as we have described above. However,
@@ -822,12 +822,12 @@ See :ref:`contributing.warnings` for more.
.. _contributing.type_hints:
-Type Hints
+Type hints
----------
*pandas* strongly encourages the use of :pep:`484` style type hints. New development should contain type hints and pull requests to annotate existing code are accepted as well!
-Style Guidelines
+Style guidelines
~~~~~~~~~~~~~~~~
Types imports should follow the ``from typing import ...`` convention. So rather than
@@ -903,7 +903,7 @@ The limitation here is that while a human can reasonably understand that ``is_nu
With custom types and inference this is not always possible so exceptions are made, but every effort should be exhausted to avoid ``cast`` before going down such paths.
-Pandas-specific Types
+pandas-specific types
~~~~~~~~~~~~~~~~~~~~~
Commonly used types specific to *pandas* will appear in `pandas._typing <https://github.com/pandas-dev/pandas/blob/master/pandas/_typing.py>`_ and you should use these where applicable. This module is private for now but ultimately this should be exposed to third party libraries who want to implement type checking against pandas.
@@ -919,7 +919,7 @@ For example, quite a few functions in *pandas* accept a ``dtype`` argument. This
This module will ultimately house types for repeatedly used concepts like "path-like", "array-like", "numeric", etc... and can also hold aliases for commonly appearing parameters like `axis`. Development of this module is active so be sure to refer to the source for the most up to date list of available types.
-Validating Type Hints
+Validating type hints
~~~~~~~~~~~~~~~~~~~~~
*pandas* uses `mypy <http://mypy-lang.org>`_ to statically analyze the code base and type hints. After making any change you can ensure your type hints are correct by running
@@ -1539,7 +1539,7 @@ The branch will still exist on GitHub, so to delete it there do::
.. _Gitter: https://gitter.im/pydata/pandas
-Tips for a successful Pull Request
+Tips for a successful pull request
==================================
If you have made it to the `Review your code`_ phase, one of the core contributors may
diff --git a/scripts/validate_rst_title_capitalization.py b/scripts/validate_rst_title_capitalization.py
new file mode 100755
index 0000000000000..17752134e5049
--- /dev/null
+++ b/scripts/validate_rst_title_capitalization.py
@@ -0,0 +1,206 @@
+#!/usr/bin/env python
+"""
+Validate that the titles in the rst files follow the proper capitalization convention.
+
+Print the titles that do not follow the convention.
+
+Usage::
+./scripts/validate_rst_title_capitalization.py doc/source/development/contributing.rst
+./scripts/validate_rst_title_capitalization.py doc/source/
+
+"""
+import argparse
+import sys
+import re
+import os
+from typing import Tuple, Generator, List
+import glob
+
+
+CAPITALIZATION_EXCEPTIONS = {
+ "pandas",
+ "Python",
+ "IPython",
+ "PyTables",
+ "Excel",
+ "JSON",
+ "HTML",
+ "SAS",
+ "SQL",
+ "BigQuery",
+ "STATA",
+ "Interval",
+ "PEP8",
+ "Period",
+ "Series",
+ "Index",
+ "DataFrame",
+ "C",
+ "Git",
+ "GitHub",
+ "NumPy",
+ "Apache",
+ "Arrow",
+ "Parquet",
+ "MultiIndex",
+ "NumFOCUS",
+ "sklearn",
+ "Docker",
+}
+
+CAP_EXCEPTIONS_DICT = {word.lower(): word for word in CAPITALIZATION_EXCEPTIONS}
+
+err_msg = "Heading capitalization formatted incorrectly. Please correctly capitalize"
+
+symbols = ("*", "=", "-", "^", "~", "#", '"')
+
+
+def correct_title_capitalization(title: str) -> str:
+ """
+ Algorithm to create the correct capitalization for a given title.
+
+ Parameters
+ ----------
+ title : str
+ Heading string to correct.
+
+ Returns
+ -------
+ str
+ Correctly capitalized heading.
+ """
+
+ # Strip all non-word characters from the beginning of the title to the
+ # first word character.
+ correct_title: str = re.sub(r"^\W*", "", title).capitalize()
+
+ # Remove a URL from the title. We do this because words in a URL must
+ # stay lowercase, even if they are a capitalization exception.
+ removed_https_title = re.sub(r"<https?:\/\/.*[\r\n]*>", "", correct_title)
+
+ # Split a title into a list using non-word character delimiters.
+ word_list = re.split(r"\W", removed_https_title)
+
+ for word in word_list:
+ if word.lower() in CAP_EXCEPTIONS_DICT:
+ correct_title = re.sub(
+ rf"\b{word}\b", CAP_EXCEPTIONS_DICT[word.lower()], correct_title
+ )
+
+ return correct_title
+
+
+def find_titles(rst_file: str) -> Generator[Tuple[str, int], None, None]:
+ """
+ Algorithm to identify particular text that should be considered headings in an
+ RST file.
+
+ See <https://thomas-cokelaer.info/tutorials/sphinx/rest_syntax.html> for details
+ on what constitutes a string as a heading in RST.
+
+ Parameters
+ ----------
+ rst_file : str
+ RST file to scan through for headings.
+
+ Yields
+ -------
+ title : str
+ A heading found in the rst file.
+
+ line_number : int
+ The corresponding line number of the heading.
+ """
+
+ with open(rst_file, "r") as fd:
+ previous_line = ""
+ for i, line in enumerate(fd):
+ line = line[:-1]
+ line_chars = set(line)
+ if (
+ len(line_chars) == 1
+ and line_chars.pop() in symbols
+ and len(line) == len(previous_line)
+ ):
+ yield re.sub(r"[`\*_]", "", previous_line), i
+ previous_line = line
+
+
+def find_rst_files(source_paths: List[str]) -> Generator[str, None, None]:
+ """
+ Given the command line arguments of directory paths, this method
+ yields the strings of the .rst file directories that these paths contain.
+
+ Parameters
+ ----------
+ source_paths : str
+ List of directories to validate, provided through command line arguments.
+
+ Yields
+ -------
+ str
+ Directory address of a .rst files found in command line argument directories.
+ """
+
+ for directory_address in source_paths:
+ if not os.path.exists(directory_address):
+ raise ValueError(
+ "Please enter a valid path, pointing to a valid file/directory."
+ )
+ elif directory_address.endswith(".rst"):
+ yield directory_address
+ else:
+ for filename in glob.glob(
+ pathname=f"{directory_address}/**/*.rst", recursive=True
+ ):
+ yield filename
+
+
+def main(source_paths: List[str], output_format: str) -> bool:
+ """
+ The main method to print all headings with incorrect capitalization.
+
+ Parameters
+ ----------
+ source_paths : str
+ List of directories to validate, provided through command line arguments.
+ output_format : str
+ Output format of the script.
+
+ Returns
+ -------
+ int
+ Number of incorrect headings found overall.
+ """
+
+ number_of_errors: int = 0
+
+ for filename in find_rst_files(source_paths):
+ for title, line_number in find_titles(filename):
+ if title != correct_title_capitalization(title):
+ print(
+ f"""{filename}:{line_number}:{err_msg} "{title}" to "{
+ correct_title_capitalization(title)}" """
+ )
+ number_of_errors += 1
+
+ return number_of_errors
+
+
+if __name__ == "__main__":
+ parser = argparse.ArgumentParser(description="Validate heading capitalization")
+
+ parser.add_argument(
+ "paths", nargs="+", default=".", help="Source paths of file/directory to check."
+ )
+
+ parser.add_argument(
+ "--format",
+ "-f",
+ default="{source_path}:{line_number}:{msg}:{heading}:{correct_heading}",
+ help="Output format of incorrectly capitalized titles",
+ )
+
+ args = parser.parse_args()
+
+ sys.exit(main(args.paths, args.format))
| Closes #26941
This script should be running correctly to validate capitalization for various rst files. Many keywords will need to be added into the script as more and more files are tested on this script. Currently testing on the following rst files through code_checks.sh:
doc/source/development/contributing.rst
doc/source/index.rst doc/source/ecosystem.rst
contributing.rst and ecosystem.rst should produce an exit code of 1, indicating there are incorrect capitalization in their headings. | https://api.github.com/repos/pandas-dev/pandas/pulls/31114 | 2020-01-17T22:12:44Z | 2020-03-07T20:06:26Z | 2020-03-07T20:06:26Z | 2020-03-09T16:49:12Z |
BUG: Index.get_value being called incorrectly | diff --git a/pandas/core/indexes/base.py b/pandas/core/indexes/base.py
index bb893bd2ffef6..c856d7d8f0dd8 100644
--- a/pandas/core/indexes/base.py
+++ b/pandas/core/indexes/base.py
@@ -4621,34 +4621,31 @@ def argsort(self, *args, **kwargs):
@Appender(_index_shared_docs["get_value"] % _index_doc_kwargs)
def get_value(self, series, key):
+ if not is_scalar(key):
+ # if key is not a scalar, directly raise an error (the code below
+ # would convert to numpy arrays and raise later any way) - GH29926
+ raise InvalidIndexError(key)
+
# if we have something that is Index-like, then
# use this, e.g. DatetimeIndex
# Things like `Series._get_value` (via .at) pass the EA directly here.
s = extract_array(series, extract_numpy=True)
if isinstance(s, ExtensionArray):
- if is_scalar(key):
- # GH 20882, 21257
- # First try to convert the key to a location
- # If that fails, raise a KeyError if an integer
- # index, otherwise, see if key is an integer, and
- # try that
- try:
- iloc = self.get_loc(key)
- return s[iloc]
- except KeyError:
- if len(self) > 0 and (self.holds_integer() or self.is_boolean()):
- raise
- elif is_integer(key):
- return s[key]
- else:
- # if key is not a scalar, directly raise an error (the code below
- # would convert to numpy arrays and raise later any way) - GH29926
- raise InvalidIndexError(key)
-
- s = com.values_from_object(series)
- k = com.values_from_object(key)
+ # GH 20882, 21257
+ # First try to convert the key to a location
+ # If that fails, raise a KeyError if an integer
+ # index, otherwise, see if key is an integer, and
+ # try that
+ try:
+ iloc = self.get_loc(key)
+ return s[iloc]
+ except KeyError:
+ if len(self) > 0 and (self.holds_integer() or self.is_boolean()):
+ raise
+ elif is_integer(key):
+ return s[key]
- k = self._convert_scalar_indexer(k, kind="getitem")
+ k = self._convert_scalar_indexer(key, kind="getitem")
try:
return self._engine.get_value(s, k, tz=getattr(series.dtype, "tz", None))
except KeyError as e1:
diff --git a/pandas/core/indexes/category.py b/pandas/core/indexes/category.py
index a247a986fcb55..a066ed8277527 100644
--- a/pandas/core/indexes/category.py
+++ b/pandas/core/indexes/category.py
@@ -503,8 +503,8 @@ def get_value(self, series: AnyArrayLike, key: Any):
Any
The element of the series at the position indicated by the key
"""
+ k = key
try:
- k = com.values_from_object(key)
k = self._convert_scalar_indexer(k, kind="getitem")
indexer = self.get_loc(k)
return series.take([indexer])[0]
diff --git a/pandas/core/indexes/numeric.py b/pandas/core/indexes/numeric.py
index 53f96ace890fb..e7e13fd1ca742 100644
--- a/pandas/core/indexes/numeric.py
+++ b/pandas/core/indexes/numeric.py
@@ -1,3 +1,5 @@
+from typing import TYPE_CHECKING
+
import numpy as np
from pandas._libs import index as libindex, lib
@@ -38,6 +40,9 @@
)
from pandas.core.ops import get_op_result_name
+if TYPE_CHECKING:
+ from pandas import Series
+
_num_index_shared_docs = dict()
@@ -438,17 +443,18 @@ def _format_native_types(
)
return formatter.get_result_as_array()
- def get_value(self, series, key):
+ def get_value(self, series: "Series", key):
"""
We always want to get an index value, never a value.
"""
if not is_scalar(key):
raise InvalidIndexError
- k = com.values_from_object(key)
- loc = self.get_loc(k)
- new_values = com.values_from_object(series)[loc]
+ loc = self.get_loc(key)
+ if not is_scalar(loc):
+ return series.iloc[loc]
+ new_values = series._values[loc]
return new_values
def equals(self, other) -> bool:
diff --git a/pandas/core/series.py b/pandas/core/series.py
index 22b347c39fc54..ec9475c6dcba9 100644
--- a/pandas/core/series.py
+++ b/pandas/core/series.py
@@ -808,6 +808,10 @@ def _slice(self, slobj: slice, axis: int = 0, kind=None) -> "Series":
def __getitem__(self, key):
key = com.apply_if_callable(key, self)
+
+ if key is Ellipsis:
+ return self
+
try:
result = self.index.get_value(self, key)
@@ -830,8 +834,6 @@ def __getitem__(self, key):
if isinstance(key, tuple) and isinstance(self.index, MultiIndex):
# kludge
pass
- elif key is Ellipsis:
- return self
elif com.is_bool_indexer(key):
pass
else:
@@ -939,7 +941,7 @@ def _get_value(self, label, takeable: bool = False):
"""
if takeable:
return com.maybe_box_datetimelike(self._values[label])
- return self.index.get_value(self._values, label)
+ return self.index.get_value(self, label)
def __setitem__(self, key, value):
key = com.apply_if_callable(key, self)
| AFAICT there aren't user-facing consequences, just built-up kludges in `Series.__getitem__` and `Index.get_value` that we'll be able to get rid of once we fix these inconsistencies.
cc @jreback | https://api.github.com/repos/pandas-dev/pandas/pulls/31112 | 2020-01-17T18:42:42Z | 2020-01-18T15:49:04Z | 2020-01-18T15:49:04Z | 2020-01-18T16:09:12Z |
CLN: prune unreachable code | diff --git a/pandas/core/base.py b/pandas/core/base.py
index 66d7cd59dcfa4..c6800d282700f 100644
--- a/pandas/core/base.py
+++ b/pandas/core/base.py
@@ -583,12 +583,10 @@ def _is_builtin_func(self, arg):
class ShallowMixin:
_attributes: List[str] = []
- def _shallow_copy(self, obj=None, **kwargs):
+ def _shallow_copy(self, obj, **kwargs):
"""
return a new object with the replacement attributes
"""
- if obj is None:
- obj = self._selected_obj.copy()
if isinstance(obj, self._constructor):
obj = obj.obj
diff --git a/pandas/core/frame.py b/pandas/core/frame.py
index 6dd3a415297db..1a49388d81243 100644
--- a/pandas/core/frame.py
+++ b/pandas/core/frame.py
@@ -2749,14 +2749,7 @@ def _ixs(self, i: int, axis: int = 0):
else:
label = self.columns[i]
- # if the values returned are not the same length
- # as the index (iow a not found value), iget returns
- # a 0-len ndarray. This is effectively catching
- # a numpy error (as numpy should really raise)
values = self._data.iget(i)
-
- if len(self.index) and not len(values):
- values = np.array([np.nan] * len(self.index), dtype=object)
result = self._box_col_values(values, label)
# this is a cached value, mark it so
diff --git a/pandas/core/generic.py b/pandas/core/generic.py
index 6332ff45c59d0..0c5c119468994 100644
--- a/pandas/core/generic.py
+++ b/pandas/core/generic.py
@@ -3173,19 +3173,6 @@ def to_csv(
return None
- # ----------------------------------------------------------------------
- # Fancy Indexing
-
- @classmethod
- def _create_indexer(cls, name: str, indexer) -> None:
- """Create an indexer like _name in the class.
-
- Kept for compatibility with geopandas. To be removed in the future. See GH27258
- """
- if getattr(cls, name, None) is None:
- _indexer = functools.partial(indexer, name)
- setattr(cls, name, property(_indexer, doc=indexer.__doc__))
-
# ----------------------------------------------------------------------
# Lookup Caching
@@ -3579,14 +3566,12 @@ def _set_item(self, key, value) -> None:
self._data.set(key, value)
self._clear_item_cache()
- def _set_is_copy(self, ref=None, copy: bool_t = True) -> None:
+ def _set_is_copy(self, ref, copy: bool_t = True) -> None:
if not copy:
self._is_copy = None
else:
- if ref is not None:
- self._is_copy = weakref.ref(ref)
- else:
- self._is_copy = None
+ assert ref is not None
+ self._is_copy = weakref.ref(ref)
def _check_is_chained_assignment_possible(self) -> bool_t:
"""
diff --git a/pandas/core/indexes/base.py b/pandas/core/indexes/base.py
index 3cec698cec64d..820f9fc4880ec 100644
--- a/pandas/core/indexes/base.py
+++ b/pandas/core/indexes/base.py
@@ -3129,7 +3129,7 @@ def _convert_scalar_indexer(self, key, kind=None):
if kind in ["getitem"] and is_float(key):
if not self.is_floating():
- return self._invalid_indexer("label", key)
+ self._invalid_indexer("label", key)
elif kind in ["loc"] and is_float(key):
diff --git a/pandas/core/indexing.py b/pandas/core/indexing.py
index 04503e5d98c10..63a86792082da 100755
--- a/pandas/core/indexing.py
+++ b/pandas/core/indexing.py
@@ -619,9 +619,8 @@ def _get_setitem_indexer(self, key):
if isinstance(key, range):
return list(key)
- axis = self.axis or 0
try:
- return self._convert_to_indexer(key, axis=axis)
+ return self._convert_to_indexer(key, axis=0)
except TypeError as e:
# invalid indexer type vs 'other' indexing errors
@@ -1472,9 +1471,7 @@ def _get_listlike_indexer(self, key, axis: int, raise_missing: bool = False):
else:
keyarr, indexer, new_indexer = ax._reindex_non_unique(keyarr)
- self._validate_read_indexer(
- keyarr, indexer, o._get_axis_number(axis), raise_missing=raise_missing
- )
+ self._validate_read_indexer(keyarr, indexer, axis, raise_missing=raise_missing)
return keyarr, indexer
def _getitem_iterable(self, key, axis: int):
diff --git a/pandas/core/internals/managers.py b/pandas/core/internals/managers.py
index 24cc551ad0e45..425187a23fb32 100644
--- a/pandas/core/internals/managers.py
+++ b/pandas/core/internals/managers.py
@@ -766,16 +766,14 @@ def copy_func(ax):
res.axes = new_axes
return res
- def as_array(self, transpose=False, items=None):
- """Convert the blockmanager data into an numpy array.
+ def as_array(self, transpose: bool = False) -> np.ndarray:
+ """
+ Convert the blockmanager data into an numpy array.
Parameters
----------
transpose : boolean, default False
If True, transpose the return array
- items : list of strings or None
- Names of block items that will be included in the returned
- array. ``None`` means that all block items will be used
Returns
-------
@@ -785,10 +783,7 @@ def as_array(self, transpose=False, items=None):
arr = np.empty(self.shape, dtype=float)
return arr.transpose() if transpose else arr
- if items is not None:
- mgr = self.reindex_axis(items, axis=0)
- else:
- mgr = self
+ mgr = self
if self._is_single_block and mgr.blocks[0].is_datetimetz:
# TODO(Block.get_values): Make DatetimeTZBlock.get_values
| https://api.github.com/repos/pandas-dev/pandas/pulls/31106 | 2020-01-17T15:46:28Z | 2020-01-18T15:51:06Z | 2020-01-18T15:51:06Z | 2020-01-18T16:07:28Z | |
TST: Fix some bare pytest raises | diff --git a/pandas/tests/internals/test_internals.py b/pandas/tests/internals/test_internals.py
index 15b1434f8629f..9c1442b75fbb2 100644
--- a/pandas/tests/internals/test_internals.py
+++ b/pandas/tests/internals/test_internals.py
@@ -1200,7 +1200,7 @@ def test_binop_other(self, op, value, dtype):
(operator.pow, "bool"),
}
if (op, dtype) in skip:
- pytest.skip("Invalid combination {},{}".format(op, dtype))
+ pytest.skip(f"Invalid combination {op},{dtype}")
e = DummyElement(value, dtype)
s = pd.DataFrame({"A": [e.value, e.value]}, dtype=e.dtype)
@@ -1216,7 +1216,17 @@ def test_binop_other(self, op, value, dtype):
}
if (op, dtype) in invalid:
- with pytest.raises(TypeError):
+ msg = (
+ None
+ if (dtype == "<M8[ns]" and op == operator.add)
+ or (dtype == "<m8[ns]" and op == operator.mul)
+ else (
+ f"cannot perform __{op.__name__}__ with this "
+ "index type: (DatetimeArray|TimedeltaArray)"
+ )
+ )
+
+ with pytest.raises(TypeError, match=msg):
op(s, e.value)
else:
# FIXME: Since dispatching to Series, this test no longer
| - [x] ref #30999
- [x] tests added / passed
- [x] passes `black pandas`
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [ ] whatsnew entry
Follow up for #30998 | https://api.github.com/repos/pandas-dev/pandas/pulls/31105 | 2020-01-17T15:06:45Z | 2020-01-17T23:29:05Z | 2020-01-17T23:29:05Z | 2020-01-18T14:50:41Z |
CLN: Index._values docstring + Block.internal/external_values | diff --git a/pandas/core/arrays/sparse/scipy_sparse.py b/pandas/core/arrays/sparse/scipy_sparse.py
index 88d63071c360f..17a953fce9ec0 100644
--- a/pandas/core/arrays/sparse/scipy_sparse.py
+++ b/pandas/core/arrays/sparse/scipy_sparse.py
@@ -17,14 +17,14 @@ def _check_is_partition(parts, whole):
def _to_ijv(ss, row_levels=(0,), column_levels=(1,), sort_labels=False):
- """ For arbitrary (MultiIndexed) SparseSeries return
+ """ For arbitrary (MultiIndexed) sparse Series return
(v, i, j, ilabels, jlabels) where (v, (i, j)) is suitable for
passing to scipy.sparse.coo constructor. """
# index and column levels must be a partition of the index
_check_is_partition([row_levels, column_levels], range(ss.index.nlevels))
- # from the SparseSeries: get the labels and data for non-null entries
- values = ss._data.internal_values()._valid_sp_values
+ # from the sparse Series: get the labels and data for non-null entries
+ values = ss.array._valid_sp_values
nonnull_labels = ss.dropna()
@@ -85,7 +85,7 @@ def _get_index_subset_to_coord_dict(index, subset, sort_labels=False):
def _sparse_series_to_coo(ss, row_levels=(0,), column_levels=(1,), sort_labels=False):
"""
- Convert a SparseSeries to a scipy.sparse.coo_matrix using index
+ Convert a sparse Series to a scipy.sparse.coo_matrix using index
levels row_levels, column_levels as the row and column
labels respectively. Returns the sparse_matrix, row and column labels.
"""
diff --git a/pandas/core/indexes/base.py b/pandas/core/indexes/base.py
index 22a0097c6b95f..7ef5c22135379 100644
--- a/pandas/core/indexes/base.py
+++ b/pandas/core/indexes/base.py
@@ -3645,15 +3645,16 @@ def values(self):
@property
def _values(self) -> Union[ExtensionArray, ABCIndexClass, np.ndarray]:
- # TODO(EA): remove index types as they become extension arrays
"""
The best array representation.
- This is an ndarray, ExtensionArray, or Index subclass. This differs
- from ``_ndarray_values``, which always returns an ndarray.
+ This is an ndarray or ExtensionArray. This differs from
+ ``_ndarray_values``, which always returns an ndarray.
Both ``_values`` and ``_ndarray_values`` are consistent between
- ``Series`` and ``Index``.
+ ``Series`` and ``Index`` (except for datetime64[ns], which returns
+ a DatetimeArray for _values on the Index, but ndarray[M8ns] on the
+ Series).
It may differ from the public '.values' method.
@@ -3661,8 +3662,8 @@ def _values(self) -> Union[ExtensionArray, ABCIndexClass, np.ndarray]:
----------------- | --------------- | ------------- | --------------- |
Index | ndarray | ndarray | ndarray |
CategoricalIndex | Categorical | Categorical | ndarray[int] |
- DatetimeIndex | ndarray[M8ns] | ndarray[M8ns] | ndarray[M8ns] |
- DatetimeIndex[tz] | ndarray[M8ns] | DTI[tz] | ndarray[M8ns] |
+ DatetimeIndex | ndarray[M8ns] | DatetimeArray | ndarray[M8ns] |
+ DatetimeIndex[tz] | ndarray[M8ns] | DatetimeArray | ndarray[M8ns] |
PeriodIndex | ndarray[object] | PeriodArray | ndarray[int] |
IntervalIndex | IntervalArray | IntervalArray | ndarray[object] |
diff --git a/pandas/core/indexes/interval.py b/pandas/core/indexes/interval.py
index 8da6907750ac7..4df1d25c7ff0c 100644
--- a/pandas/core/indexes/interval.py
+++ b/pandas/core/indexes/interval.py
@@ -405,10 +405,6 @@ def values(self):
"""
return self._data
- @cache_readonly
- def _values(self):
- return self._data
-
def __array_wrap__(self, result, context=None):
# we don't want the superclass implementation
return result
diff --git a/pandas/core/internals/blocks.py b/pandas/core/internals/blocks.py
index 5fe5290fa65f1..cb702a81d2bde 100644
--- a/pandas/core/internals/blocks.py
+++ b/pandas/core/internals/blocks.py
@@ -192,13 +192,19 @@ def is_categorical_astype(self, dtype):
return False
- def external_values(self, dtype=None):
- """ return an outside world format, currently just the ndarray """
+ def external_values(self):
+ """
+ The array that Series.values returns (public attribute).
+ This has some historical constraints, and is overridden in block
+ subclasses to return the correct array (e.g. period returns
+ object ndarray and datetimetz a datetime64[ns] ndarray instead of
+ proper extension array).
+ """
return self.values
- def internal_values(self, dtype=None):
- """ return an internal format, currently just the ndarray
- this should be the pure internal API format
+ def internal_values(self):
+ """
+ The array that Series._values returns (internal values).
"""
return self.values
@@ -1966,7 +1972,7 @@ class ObjectValuesExtensionBlock(ExtensionBlock):
Series[T].values is an ndarray of objects.
"""
- def external_values(self, dtype=None):
+ def external_values(self):
return self.values.astype(object)
@@ -2482,7 +2488,7 @@ def to_native_types(self, slicer=None, na_rep=None, quoting=None, **kwargs):
)
return rvalues
- def external_values(self, dtype=None):
+ def external_values(self):
return np.asarray(self.values.astype("timedelta64[ns]", copy=False))
diff --git a/pandas/core/internals/managers.py b/pandas/core/internals/managers.py
index 24cc551ad0e45..39e0aa078638f 100644
--- a/pandas/core/internals/managers.py
+++ b/pandas/core/internals/managers.py
@@ -1531,9 +1531,11 @@ def get_dtypes(self):
return np.array([self._block.dtype])
def external_values(self):
+ """The array that Series.values returns"""
return self._block.external_values()
def internal_values(self):
+ """The array that Series._values returns"""
return self._block.internal_values()
def get_values(self):
| @jbrockmendel this is the "clean" part of https://github.com/pandas-dev/pandas/pull/31037, so if you merge this, I will update the other PR so that only the required changes are in the PR for 1.0.0. | https://api.github.com/repos/pandas-dev/pandas/pulls/31103 | 2020-01-17T13:18:53Z | 2020-01-17T17:48:43Z | 2020-01-17T17:48:43Z | 2020-01-17T17:55:46Z |
BUG: groupby transform fillna produces wrong result | diff --git a/doc/source/whatsnew/v1.1.0.rst b/doc/source/whatsnew/v1.1.0.rst
index c8e811ce82b1f..ad58232c81b23 100644
--- a/doc/source/whatsnew/v1.1.0.rst
+++ b/doc/source/whatsnew/v1.1.0.rst
@@ -169,6 +169,7 @@ Groupby/resample/rolling
^^^^^^^^^^^^^^^^^^^^^^^^
- Bug in :meth:`GroupBy.apply` raises ``ValueError`` when the ``by`` axis is not sorted and has duplicates and the applied ``func`` does not mutate passed in objects (:issue:`30667`)
+- Bug in :meth:`DataFrameGroupby.transform` produces incorrect result with transformation functions (:issue:`30918`)
Reshaping
^^^^^^^^^
diff --git a/pandas/core/groupby/generic.py b/pandas/core/groupby/generic.py
index 98cdcd0f2b6ee..27dd6e953c219 100644
--- a/pandas/core/groupby/generic.py
+++ b/pandas/core/groupby/generic.py
@@ -1416,22 +1416,20 @@ def transform(self, func, *args, **kwargs):
# cythonized transformation or canned "reduction+broadcast"
return getattr(self, func)(*args, **kwargs)
- # If func is a reduction, we need to broadcast the
- # result to the whole group. Compute func result
- # and deal with possible broadcasting below.
- result = getattr(self, func)(*args, **kwargs)
-
- # a reduction transform
- if not isinstance(result, DataFrame):
- return self._transform_general(func, *args, **kwargs)
-
- obj = self._obj_with_exclusions
-
- # nuisance columns
- if not result.columns.equals(obj.columns):
- return self._transform_general(func, *args, **kwargs)
-
- return self._transform_fast(result, func)
+ # GH 30918
+ # Use _transform_fast only when we know func is an aggregation
+ if func in base.reduction_kernels:
+ # If func is a reduction, we need to broadcast the
+ # result to the whole group. Compute func result
+ # and deal with possible broadcasting below.
+ result = getattr(self, func)(*args, **kwargs)
+
+ if isinstance(result, DataFrame) and result.columns.equals(
+ self._obj_with_exclusions.columns
+ ):
+ return self._transform_fast(result, func)
+
+ return self._transform_general(func, *args, **kwargs)
def _transform_fast(self, result: DataFrame, func_nm: str) -> DataFrame:
"""
diff --git a/pandas/tests/groupby/test_transform.py b/pandas/tests/groupby/test_transform.py
index 6c05c4038a829..8967ef06f50fb 100644
--- a/pandas/tests/groupby/test_transform.py
+++ b/pandas/tests/groupby/test_transform.py
@@ -317,6 +317,32 @@ def test_dispatch_transform(tsframe):
tm.assert_frame_equal(filled, expected)
+def test_transform_transformation_func(transformation_func):
+ # GH 30918
+ df = DataFrame(
+ {
+ "A": ["foo", "foo", "foo", "foo", "bar", "bar", "baz"],
+ "B": [1, 2, np.nan, 3, 3, np.nan, 4],
+ }
+ )
+
+ if transformation_func in ["pad", "backfill", "tshift", "corrwith", "cumcount"]:
+ # These transformation functions are not yet covered in this test
+ pytest.xfail("See GH 31269 and GH 31270")
+ elif transformation_func == "fillna":
+ test_op = lambda x: x.transform("fillna", value=0)
+ mock_op = lambda x: x.fillna(value=0)
+ else:
+ test_op = lambda x: x.transform(transformation_func)
+ mock_op = lambda x: getattr(x, transformation_func)()
+
+ result = test_op(df.groupby("A"))
+ groups = [df[["B"]].iloc[:4], df[["B"]].iloc[4:6], df[["B"]].iloc[6:]]
+ expected = concat([mock_op(g) for g in groups])
+
+ tm.assert_frame_equal(result, expected)
+
+
def test_transform_select_columns(df):
f = lambda x: x.mean()
result = df.groupby("A")[["C", "D"]].transform(f)
| - [x] closes #30918
- [x] tests added / passed
- [x] passes `black pandas`
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [x] whatsnew entry
| https://api.github.com/repos/pandas-dev/pandas/pulls/31101 | 2020-01-17T12:05:33Z | 2020-01-24T19:16:01Z | 2020-01-24T19:16:01Z | 2020-05-29T10:48:03Z |
Updated years in LICENSE | diff --git a/LICENSE b/LICENSE
index 924de26253bf4..76954a5a339ab 100644
--- a/LICENSE
+++ b/LICENSE
@@ -1,8 +1,10 @@
BSD 3-Clause License
-Copyright (c) 2008-2012, AQR Capital Management, LLC, Lambda Foundry, Inc. and PyData Development Team
+Copyright (c) 2008-2011, AQR Capital Management, LLC, Lambda Foundry, Inc. and PyData Development Team
All rights reserved.
+Copyright (c) 2011-2020, Open source contributors.
+
Redistribution and use in source and binary forms, with or without
modification, are permitted provided that the following conditions are met:
| Really not sure about this change.
(Feel free to close this PR at any time, if this file should not be changed). | https://api.github.com/repos/pandas-dev/pandas/pulls/31100 | 2020-01-17T08:55:32Z | 2020-01-18T16:33:48Z | 2020-01-18T16:33:48Z | 2020-01-19T06:24:48Z |
Backport PR #31091 on branch 1.0.x (CI/TST: fix failing tests in py37_np_dev) | diff --git a/pandas/tests/arrays/categorical/test_algos.py b/pandas/tests/arrays/categorical/test_algos.py
index 52640044565fc..5ff0bb8ef0d78 100644
--- a/pandas/tests/arrays/categorical/test_algos.py
+++ b/pandas/tests/arrays/categorical/test_algos.py
@@ -111,7 +111,7 @@ def test_take_bounds(self, allow_fill):
if allow_fill:
msg = "indices are out-of-bounds"
else:
- msg = "index 4 is out of bounds for size 3"
+ msg = "index 4 is out of bounds for( axis 0 with)? size 3"
with pytest.raises(IndexError, match=msg):
cat.take([4, 5], allow_fill=allow_fill)
diff --git a/pandas/tests/indexes/multi/test_analytics.py b/pandas/tests/indexes/multi/test_analytics.py
index ac1e0893683d1..f04776e531bfd 100644
--- a/pandas/tests/indexes/multi/test_analytics.py
+++ b/pandas/tests/indexes/multi/test_analytics.py
@@ -218,7 +218,7 @@ def test_take_fill_value():
with pytest.raises(ValueError, match=msg):
idx.take(np.array([1, 0, -5]), fill_value=True)
- msg = "index -5 is out of bounds for size 4"
+ msg = "index -5 is out of bounds for( axis 0 with)? size 4"
with pytest.raises(IndexError, match=msg):
idx.take(np.array([1, -5]))
diff --git a/pandas/tests/indexes/period/test_indexing.py b/pandas/tests/indexes/period/test_indexing.py
index 7dbefbdaff98e..8a5bb2bf960ac 100644
--- a/pandas/tests/indexes/period/test_indexing.py
+++ b/pandas/tests/indexes/period/test_indexing.py
@@ -357,7 +357,7 @@ def test_take_fill_value(self):
with pytest.raises(ValueError, match=msg):
idx.take(np.array([1, 0, -5]), fill_value=True)
- msg = "index -5 is out of bounds for size 3"
+ msg = "index -5 is out of bounds for( axis 0 with)? size 3"
with pytest.raises(IndexError, match=msg):
idx.take(np.array([1, -5]))
diff --git a/pandas/tests/series/indexing/test_indexing.py b/pandas/tests/series/indexing/test_indexing.py
index 4601cabf69b52..6fd3d891c310b 100644
--- a/pandas/tests/series/indexing/test_indexing.py
+++ b/pandas/tests/series/indexing/test_indexing.py
@@ -894,7 +894,7 @@ def test_take():
expected = Series([4, 2, 4], index=[4, 3, 4])
tm.assert_series_equal(actual, expected)
- msg = "index {} is out of bounds for size 5"
+ msg = "index {} is out of bounds for( axis 0 with)? size 5"
with pytest.raises(IndexError, match=msg.format(10)):
s.take([1, 10])
with pytest.raises(IndexError, match=msg.format(5)):
| (Manual) Backport PR #31091 on branch 1.0.x (CI/TST: fix failing tests in py37_np_dev)
cc @WillAyd | https://api.github.com/repos/pandas-dev/pandas/pulls/31099 | 2020-01-17T08:09:58Z | 2020-01-17T11:34:17Z | 2020-01-17T11:34:17Z | 2020-01-17T13:21:03Z |
CLN: Regular expression clean | diff --git a/pandas/tests/arrays/categorical/test_algos.py b/pandas/tests/arrays/categorical/test_algos.py
index 07abdceb71f9f..5ff0bb8ef0d78 100644
--- a/pandas/tests/arrays/categorical/test_algos.py
+++ b/pandas/tests/arrays/categorical/test_algos.py
@@ -111,7 +111,7 @@ def test_take_bounds(self, allow_fill):
if allow_fill:
msg = "indices are out-of-bounds"
else:
- msg = "index 4 is out of bounds for( axis 0 with|) size 3"
+ msg = "index 4 is out of bounds for( axis 0 with)? size 3"
with pytest.raises(IndexError, match=msg):
cat.take([4, 5], allow_fill=allow_fill)
diff --git a/pandas/tests/indexes/multi/test_analytics.py b/pandas/tests/indexes/multi/test_analytics.py
index 5d441b0fa8091..2db61d4f4b852 100644
--- a/pandas/tests/indexes/multi/test_analytics.py
+++ b/pandas/tests/indexes/multi/test_analytics.py
@@ -218,7 +218,7 @@ def test_take_fill_value():
with pytest.raises(ValueError, match=msg):
idx.take(np.array([1, 0, -5]), fill_value=True)
- msg = "index -5 is out of bounds for( axis 0 with|) size 4"
+ msg = "index -5 is out of bounds for( axis 0 with)? size 4"
with pytest.raises(IndexError, match=msg):
idx.take(np.array([1, -5]))
diff --git a/pandas/tests/indexes/period/test_indexing.py b/pandas/tests/indexes/period/test_indexing.py
index 900b1cc91d905..1e3160980e8bb 100644
--- a/pandas/tests/indexes/period/test_indexing.py
+++ b/pandas/tests/indexes/period/test_indexing.py
@@ -357,7 +357,7 @@ def test_take_fill_value(self):
with pytest.raises(ValueError, match=msg):
idx.take(np.array([1, 0, -5]), fill_value=True)
- msg = "index -5 is out of bounds for( axis 0 with|) size 3"
+ msg = "index -5 is out of bounds for( axis 0 with)? size 3"
with pytest.raises(IndexError, match=msg):
idx.take(np.array([1, -5]))
diff --git a/pandas/tests/series/indexing/test_indexing.py b/pandas/tests/series/indexing/test_indexing.py
index 4bc5bb90f2cb7..65731cf45bd2d 100644
--- a/pandas/tests/series/indexing/test_indexing.py
+++ b/pandas/tests/series/indexing/test_indexing.py
@@ -894,7 +894,7 @@ def test_take():
expected = Series([4, 2, 4], index=[4, 3, 4])
tm.assert_series_equal(actual, expected)
- msg = "index {} is out of bounds for( axis 0 with|) size 5"
+ msg = "index {} is out of bounds for( axis 0 with)? size 5"
with pytest.raises(IndexError, match=msg.format(10)):
s.take([1, 10])
with pytest.raises(IndexError, match=msg.format(5)):
diff --git a/pandas/tests/test_take.py b/pandas/tests/test_take.py
index d7c6496e0ae5b..1d2ab9358c01c 100644
--- a/pandas/tests/test_take.py
+++ b/pandas/tests/test_take.py
@@ -428,7 +428,7 @@ def test_bounds_check_large(self):
with pytest.raises(IndexError, match=msg):
algos.take(arr, [2, 3], allow_fill=True)
- msg = "index 2 is out of bounds for( axis 0 with|) size 2"
+ msg = "index 2 is out of bounds for( axis 0 with)? size 2"
with pytest.raises(IndexError, match=msg):
algos.take(arr, [2, 3], allow_fill=False)
| - [x] ref https://github.com/pandas-dev/pandas/pull/31091#discussion_r367732954
- [x] tests added / passed
- [x] passes `black pandas`
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [ ] whatsnew entry
| https://api.github.com/repos/pandas-dev/pandas/pulls/31098 | 2020-01-17T07:56:44Z | 2020-01-17T10:13:55Z | 2020-01-17T10:13:55Z | 2020-01-17T13:21:58Z |
DOC: Replace ggpy with plotnine in ecosystem | diff --git a/doc/source/ecosystem.rst b/doc/source/ecosystem.rst
index 7bd5ba7ecdf0b..b1de406b33352 100644
--- a/doc/source/ecosystem.rst
+++ b/doc/source/ecosystem.rst
@@ -112,16 +112,14 @@ also goes beyond matplotlib and pandas with the option to perform statistical
estimation while plotting, aggregating across observations and visualizing the
fit of statistical models to emphasize patterns in a dataset.
-`yhat/ggpy <https://github.com/yhat/ggpy>`__
-~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+`plotnine <https://github.com/has2k1/plotnine/>`__
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Hadley Wickham's `ggplot2 <https://ggplot2.tidyverse.org/>`__ is a foundational exploratory visualization package for the R language.
Based on `"The Grammar of Graphics" <https://www.cs.uic.edu/~wilkinson/TheGrammarOfGraphics/GOG.html>`__ it
provides a powerful, declarative and extremely general way to generate bespoke plots of any kind of data.
-It's really quite incredible. Various implementations to other languages are available,
-but a faithful implementation for Python users has long been missing. Although still young
-(as of Jan-2014), the `yhat/ggpy <https://github.com/yhat/ggpy>`__ project has been
-progressing quickly in that direction.
+Various implementations to other languages are available.
+A good implementation for Python users is `has2k1/plotnine <https://github.com/has2k1/plotnine/>`__.
`IPython Vega <https://github.com/vega/ipyvega>`__
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
diff --git a/web/pandas/community/ecosystem.md b/web/pandas/community/ecosystem.md
index af6fd1ac77605..a707854c6ed2c 100644
--- a/web/pandas/community/ecosystem.md
+++ b/web/pandas/community/ecosystem.md
@@ -84,19 +84,16 @@ pandas with the option to perform statistical estimation while plotting,
aggregating across observations and visualizing the fit of statistical
models to emphasize patterns in a dataset.
-### [yhat/ggpy](https://github.com/yhat/ggpy)
+### [plotnine](https://github.com/has2k1/plotnine/)
Hadley Wickham's [ggplot2](https://ggplot2.tidyverse.org/) is a
foundational exploratory visualization package for the R language. Based
on ["The Grammar of
Graphics"](https://www.cs.uic.edu/~wilkinson/TheGrammarOfGraphics/GOG.html)
it provides a powerful, declarative and extremely general way to
-generate bespoke plots of any kind of data. It's really quite
-incredible. Various implementations to other languages are available,
-but a faithful implementation for Python users has long been missing.
-Although still young (as of Jan-2014), the
-[yhat/ggpy](https://github.com/yhat/ggpy) project has been progressing
-quickly in that direction.
+generate bespoke plots of any kind of data.
+Various implementations to other languages are available.
+A good implementation for Python users is [has2k1/plotnine](https://github.com/has2k1/plotnine/).
### [IPython Vega](https://github.com/vega/ipyvega)
| - [ ] closes #31087
- [ ] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
Changed ggpy reference to plotnine.
| https://api.github.com/repos/pandas-dev/pandas/pulls/31097 | 2020-01-17T04:14:18Z | 2020-01-18T17:11:21Z | 2020-01-18T17:11:21Z | 2020-02-19T03:52:49Z |
ENH: partial string indexing on non-monotonic PeriodIndex | diff --git a/doc/source/user_guide/timeseries.rst b/doc/source/user_guide/timeseries.rst
index 08b2ae0a4a837..3fdab0fd26643 100644
--- a/doc/source/user_guide/timeseries.rst
+++ b/doc/source/user_guide/timeseries.rst
@@ -1951,6 +1951,10 @@ The ``period`` dtype can be used in ``.astype(...)``. It allows one to change th
PeriodIndex partial string indexing
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+PeriodIndex now supports partial string slicing with non-monotonic indexes.
+
+.. versionadded:: 1.1.0
+
You can pass in dates and strings to ``Series`` and ``DataFrame`` with ``PeriodIndex``, in the same manner as ``DatetimeIndex``. For details, refer to :ref:`DatetimeIndex Partial String Indexing <timeseries.partialindexing>`.
.. ipython:: python
@@ -1981,6 +1985,7 @@ As with ``DatetimeIndex``, the endpoints will be included in the result. The exa
dfp['2013-01-01 10H':'2013-01-01 11H']
+
Frequency conversion and resampling with PeriodIndex
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
The frequency of ``Period`` and ``PeriodIndex`` can be converted via the ``asfreq``
diff --git a/doc/source/whatsnew/v1.1.0.rst b/doc/source/whatsnew/v1.1.0.rst
index a04ba157ce0ae..3245a4020d2ef 100644
--- a/doc/source/whatsnew/v1.1.0.rst
+++ b/doc/source/whatsnew/v1.1.0.rst
@@ -13,6 +13,27 @@ including other versions of pandas.
Enhancements
~~~~~~~~~~~~
+.. _whatsnew_110.period_index_partial_string_slicing:
+
+Nonmonotonic PeriodIndex Partial String Slicing
+^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+:class:`PeriodIndex` now supports partial string slicing for non-monotonic indexes, mirroring :class:`DatetimeIndex` behavior (:issue:`31096`)
+
+For example:
+
+.. ipython:: python
+
+ dti = pd.date_range("2014-01-01", periods=30, freq="30D")
+ pi = dti.to_period("D")
+ ser_monotonic = pd.Series(np.arange(30), index=pi)
+ shuffler = list(range(0, 30, 2)) + list(range(1, 31, 2))
+ ser = ser_monotonic[shuffler]
+ ser
+
+.. ipython:: python
+ ser["2014"]
+ ser.loc["May 2015"]
+
.. _whatsnew_110.enhancements.other:
Other enhancements
diff --git a/pandas/core/indexes/period.py b/pandas/core/indexes/period.py
index b3386f6104032..2a40f4a6f6239 100644
--- a/pandas/core/indexes/period.py
+++ b/pandas/core/indexes/period.py
@@ -567,6 +567,11 @@ def get_loc(self, key, method=None, tolerance=None):
"""
if isinstance(key, str):
+ try:
+ return self._get_string_slice(key)
+ except (TypeError, KeyError, ValueError, OverflowError):
+ pass
+
try:
asdt, reso = parse_time_string(key, self.freq)
key = asdt
@@ -648,10 +653,6 @@ def _parsed_string_to_bounds(self, reso: str, parsed: datetime):
def _get_string_slice(self, key: str, use_lhs: bool = True, use_rhs: bool = True):
# TODO: Check for non-True use_lhs/use_rhs
- raw = key
- if not self.is_monotonic:
- raise ValueError("Partial indexing only valid for ordered time series")
-
parsed, reso = parse_time_string(key, self.freq)
grp = resolution.Resolution.get_freq_group(reso)
freqn = resolution.get_freq_group(self.freq)
@@ -660,18 +661,35 @@ def _get_string_slice(self, key: str, use_lhs: bool = True, use_rhs: bool = True
# TODO: we used to also check for
# reso in ["day", "hour", "minute", "second"]
# why is that check not needed?
- raise TypeError(key)
+ raise ValueError(key)
t1, t2 = self._parsed_string_to_bounds(reso, parsed)
- if len(self):
- if t2 < self.min() or t1 > self.max():
- raise KeyError(raw)
-
- # Use asi8 searchsorted to avoid overhead of re-validating inputs
- return slice(
- self.asi8.searchsorted(t1.ordinal, side="left"),
- self.asi8.searchsorted(t2.ordinal, side="right"),
- )
+ i8vals = self.asi8
+
+ if self.is_monotonic:
+
+ # we are out of range
+ if len(self) and (
+ (use_lhs and t1 < self[0] and t2 < self[0])
+ or ((use_rhs and t1 > self[-1] and t2 > self[-1]))
+ ):
+ raise KeyError(key)
+
+ # TODO: does this depend on being monotonic _increasing_?
+ # If so, DTI will also be affected.
+
+ # a monotonic (sorted) series can be sliced
+ # Use asi8.searchsorted to avoid re-validating Periods
+ left = i8vals.searchsorted(t1.ordinal, side="left") if use_lhs else None
+ right = i8vals.searchsorted(t2.ordinal, side="right") if use_rhs else None
+ return slice(left, right)
+
+ else:
+ lhs_mask = (i8vals >= t1.ordinal) if use_lhs else True
+ rhs_mask = (i8vals <= t2.ordinal) if use_rhs else True
+
+ # try to find a the dates
+ return (lhs_mask & rhs_mask).nonzero()[0]
def _convert_tolerance(self, tolerance, target):
tolerance = DatetimeIndexOpsMixin._convert_tolerance(self, tolerance, target)
diff --git a/pandas/tests/indexes/period/test_partial_slicing.py b/pandas/tests/indexes/period/test_partial_slicing.py
index 9ca2dd169416f..833901ea7ba22 100644
--- a/pandas/tests/indexes/period/test_partial_slicing.py
+++ b/pandas/tests/indexes/period/test_partial_slicing.py
@@ -7,9 +7,6 @@
class TestPeriodIndex:
- def setup_method(self, method):
- pass
-
def test_slice_with_negative_step(self):
ts = Series(np.arange(20), period_range("2014-01", periods=20, freq="M"))
SLC = pd.IndexSlice
@@ -133,3 +130,53 @@ def test_range_slice_outofbounds(self):
tm.assert_frame_equal(df["2013/10/15":"2013/10/17"], empty)
tm.assert_frame_equal(df["2013-06":"2013-09"], empty)
tm.assert_frame_equal(df["2013-11":"2013-12"], empty)
+
+ def test_partial_slice_doesnt_require_monotonicity(self):
+ # See also: DatetimeIndex test ofm the same name
+ dti = pd.date_range("2014-01-01", periods=30, freq="30D")
+ pi = dti.to_period("D")
+
+ ser_montonic = pd.Series(np.arange(30), index=pi)
+
+ shuffler = list(range(0, 30, 2)) + list(range(1, 31, 2))
+ ser = ser_montonic[shuffler]
+ nidx = ser.index
+
+ # Manually identified locations of year==2014
+ indexer_2014 = np.array(
+ [0, 1, 2, 3, 4, 5, 6, 15, 16, 17, 18, 19, 20], dtype=np.intp
+ )
+ assert (nidx[indexer_2014].year == 2014).all()
+ assert not (nidx[~indexer_2014].year == 2014).any()
+
+ result = nidx.get_loc("2014")
+ tm.assert_numpy_array_equal(result, indexer_2014)
+
+ expected = ser[indexer_2014]
+
+ result = nidx.get_value(ser, "2014")
+ tm.assert_series_equal(result, expected)
+
+ result = ser.loc["2014"]
+ tm.assert_series_equal(result, expected)
+
+ result = ser["2014"]
+ tm.assert_series_equal(result, expected)
+
+ # Manually identified locations where ser.index is within Mat 2015
+ indexer_may2015 = np.array([23], dtype=np.intp)
+ assert nidx[23].year == 2015 and nidx[23].month == 5
+
+ result = nidx.get_loc("May 2015")
+ tm.assert_numpy_array_equal(result, indexer_may2015)
+
+ expected = ser[indexer_may2015]
+
+ result = nidx.get_value(ser, "May 2015")
+ tm.assert_series_equal(result, expected)
+
+ result = ser.loc["May 2015"]
+ tm.assert_series_equal(result, expected)
+
+ result = ser["May 2015"]
+ tm.assert_series_equal(result, expected)
| Looks like the DatetimeIndex analogue of this was done in #2437 (https://github.com/pandas-dev/pandas/commit/3a173f19b308d2fb7d8e96dfc57f2e5ecd046138)
This does _not_ yet support two-sides slicing e.g. `ser["2015":"2016"]`, but im hoping to get that handled before long.
Partial overlap with #31058, nothing should actually conflict. | https://api.github.com/repos/pandas-dev/pandas/pulls/31096 | 2020-01-17T02:40:30Z | 2020-01-21T16:27:25Z | 2020-01-21T16:27:24Z | 2020-01-21T17:15:54Z |
DOC: Restore ExtensionIndex.dropna.__doc__ | diff --git a/pandas/core/indexes/extension.py b/pandas/core/indexes/extension.py
index 58fcce7e59be7..db35cdb72979f 100644
--- a/pandas/core/indexes/extension.py
+++ b/pandas/core/indexes/extension.py
@@ -6,7 +6,7 @@
import numpy as np
from pandas.compat.numpy import function as nv
-from pandas.util._decorators import cache_readonly
+from pandas.util._decorators import Appender, cache_readonly
from pandas.core.dtypes.common import ensure_platform_int, is_dtype_equal
from pandas.core.dtypes.generic import ABCSeries
@@ -188,6 +188,7 @@ def __iter__(self):
def _ndarray_values(self) -> np.ndarray:
return self._data._ndarray_values
+ @Appender(Index.dropna.__doc__)
def dropna(self, how="any"):
if how not in ("any", "all"):
raise ValueError(f"invalid how option: {how}")
@@ -201,6 +202,7 @@ def repeat(self, repeats, axis=None):
result = self._data.repeat(repeats, axis=axis)
return self._shallow_copy(result)
+ @Appender(Index.take.__doc__)
def take(self, indices, axis=0, allow_fill=True, fill_value=None, **kwargs):
nv.validate_take(tuple(), kwargs)
indices = ensure_platform_int(indices)
@@ -230,6 +232,7 @@ def _get_unique_index(self, dropna=False):
result = result[~result.isna()]
return self._shallow_copy(result)
+ @Appender(Index.astype.__doc__)
def astype(self, dtype, copy=True):
if is_dtype_equal(self.dtype, dtype) and copy is False:
# Ensure that self.astype(self.dtype) is self
| Per request from @jorisvandenbossche on #30717. | https://api.github.com/repos/pandas-dev/pandas/pulls/31095 | 2020-01-17T01:46:15Z | 2020-01-20T13:35:21Z | 2020-01-20T13:35:21Z | 2020-01-20T16:27:26Z |
WEB: Styling blog | diff --git a/web/pandas/community/blog.html b/web/pandas/community/blog.html
index ffe6f97d679e4..627aaa450893b 100644
--- a/web/pandas/community/blog.html
+++ b/web/pandas/community/blog.html
@@ -4,10 +4,10 @@
{% for post in blog.posts %}
<div class="card">
<div class="card-body">
- <h3 class="card-title"><a href="{{post.link }}" target="_blank">{{ post.title }}</a></h3>
- <h6 class="card-subtitle">Source: {{ post.feed }} | Author: {{ post.author }} | Published: {{ post.published.strftime("%b %d, %Y") }}</h6>
- <div class="card-text">{{ post.summary }}</div>
- <a class="card-link" href="{{post.link }}" target="_blank">Read</a>
+ <h5 class="card-title"><a href="{{post.link }}" target="_blank">{{ post.title }}</a></h5>
+ <h6 class="card-subtitle text-muted small mb-4">Source: {{ post.feed }} | Author: {{ post.author }} | Published: {{ post.published.strftime("%b %d, %Y") }}</h6>
+ <div class="card-text mb-2">{{ post.summary }}</div>
+ <a class="card-link small" href="{{post.link }}" target="_blank">Read more</a>
</div>
</div>
{% endfor %}
diff --git a/web/pandas_web.py b/web/pandas_web.py
index d515d8a0e1cd7..45dafcf0c4c10 100755
--- a/web/pandas_web.py
+++ b/web/pandas_web.py
@@ -28,14 +28,15 @@
import importlib
import operator
import os
+import re
import shutil
import sys
import time
import typing
import feedparser
-import markdown
import jinja2
+import markdown
import requests
import yaml
@@ -74,6 +75,7 @@ def blog_add_posts(context):
preprocessor fetches the posts in the feeds, and returns the relevant
information for them (sorted from newest to oldest).
"""
+ tag_expr = re.compile("<.*?>")
posts = []
for feed_url in context["blog"]["feed"]:
feed_data = feedparser.parse(feed_url)
@@ -81,6 +83,7 @@ def blog_add_posts(context):
published = datetime.datetime.fromtimestamp(
time.mktime(entry.published_parsed)
)
+ summary = re.sub(tag_expr, "", entry.summary)
posts.append(
{
"title": entry.title,
@@ -89,7 +92,7 @@ def blog_add_posts(context):
"feed": feed_data["feed"]["title"],
"link": entry.link,
"description": entry.description,
- "summary": entry.summary,
+ "summary": summary,
}
)
posts.sort(key=operator.itemgetter("published"), reverse=True)
| Improving how the blog section looks. Changing a bit the font size, color, and spacing. And also removing html tags from the content, since it's tricky to make titles, images, links... in the posts look good in the preview.
Not convinced that the blog looks great, but that's the best I could do, and I think it looks much better than what we've got now.
| https://api.github.com/repos/pandas-dev/pandas/pulls/31094 | 2020-01-17T00:22:06Z | 2020-01-17T16:51:20Z | 2020-01-17T16:51:20Z | 2020-01-17T16:51:21Z |
Pull Request Tips | diff --git a/doc/source/development/contributing.rst b/doc/source/development/contributing.rst
index 4fdcb93745094..2dcb6a32d7941 100644
--- a/doc/source/development/contributing.rst
+++ b/doc/source/development/contributing.rst
@@ -1525,3 +1525,19 @@ The branch will still exist on GitHub, so to delete it there do::
git push origin --delete shiny-new-feature
.. _Gitter: https://gitter.im/pydata/pandas
+
+
+Tips for a successful Pull Request
+==================================
+
+If you have made it to the `Review your code`_ phase, one of the core contributors may
+take a look. Please note however that a handful of people are responsible for reviewing
+all of the contributions, which can often lead to bottlenecks.
+
+To improve the chances of your pull request being reviewed, you should:
+
+- **Reference an open issue** for non-trivial changes to clarify the PR's purpose
+- **Ensure you have appropriate tests**. These should be the first part of any PR
+- **Keep your pull requests as simple as possible**. Larger PRs take longer to review
+- **Ensure that CI is in a green state**. Reviewers may not even look otherwise
+- **Keep** `Updating your pull request`_, either by request or every few days
| I think these issues pop up on a good deal of PRs but aren't explicitly stated anywhere, so adding a few bullet points to the contributing guide might help | https://api.github.com/repos/pandas-dev/pandas/pulls/31093 | 2020-01-17T00:14:18Z | 2020-01-18T16:37:40Z | 2020-01-18T16:37:40Z | 2020-02-02T01:21:45Z |
CI/TST: fix failing tests in py37_np_dev | diff --git a/pandas/tests/arrays/categorical/test_algos.py b/pandas/tests/arrays/categorical/test_algos.py
index 52640044565fc..07abdceb71f9f 100644
--- a/pandas/tests/arrays/categorical/test_algos.py
+++ b/pandas/tests/arrays/categorical/test_algos.py
@@ -111,7 +111,7 @@ def test_take_bounds(self, allow_fill):
if allow_fill:
msg = "indices are out-of-bounds"
else:
- msg = "index 4 is out of bounds for size 3"
+ msg = "index 4 is out of bounds for( axis 0 with|) size 3"
with pytest.raises(IndexError, match=msg):
cat.take([4, 5], allow_fill=allow_fill)
diff --git a/pandas/tests/indexes/multi/test_analytics.py b/pandas/tests/indexes/multi/test_analytics.py
index 209cc627aba8b..5d441b0fa8091 100644
--- a/pandas/tests/indexes/multi/test_analytics.py
+++ b/pandas/tests/indexes/multi/test_analytics.py
@@ -218,7 +218,7 @@ def test_take_fill_value():
with pytest.raises(ValueError, match=msg):
idx.take(np.array([1, 0, -5]), fill_value=True)
- msg = "index -5 is out of bounds for size 4"
+ msg = "index -5 is out of bounds for( axis 0 with|) size 4"
with pytest.raises(IndexError, match=msg):
idx.take(np.array([1, -5]))
diff --git a/pandas/tests/indexes/period/test_indexing.py b/pandas/tests/indexes/period/test_indexing.py
index 592dccc5fc8ed..900b1cc91d905 100644
--- a/pandas/tests/indexes/period/test_indexing.py
+++ b/pandas/tests/indexes/period/test_indexing.py
@@ -357,7 +357,7 @@ def test_take_fill_value(self):
with pytest.raises(ValueError, match=msg):
idx.take(np.array([1, 0, -5]), fill_value=True)
- msg = "index -5 is out of bounds for size 3"
+ msg = "index -5 is out of bounds for( axis 0 with|) size 3"
with pytest.raises(IndexError, match=msg):
idx.take(np.array([1, -5]))
diff --git a/pandas/tests/series/indexing/test_indexing.py b/pandas/tests/series/indexing/test_indexing.py
index d552ce739d91c..4bc5bb90f2cb7 100644
--- a/pandas/tests/series/indexing/test_indexing.py
+++ b/pandas/tests/series/indexing/test_indexing.py
@@ -894,7 +894,7 @@ def test_take():
expected = Series([4, 2, 4], index=[4, 3, 4])
tm.assert_series_equal(actual, expected)
- msg = "index {} is out of bounds for size 5"
+ msg = "index {} is out of bounds for( axis 0 with|) size 5"
with pytest.raises(IndexError, match=msg.format(10)):
s.take([1, 10])
with pytest.raises(IndexError, match=msg.format(5)):
diff --git a/pandas/tests/test_take.py b/pandas/tests/test_take.py
index 1cd5f11057464..d7c6496e0ae5b 100644
--- a/pandas/tests/test_take.py
+++ b/pandas/tests/test_take.py
@@ -428,7 +428,7 @@ def test_bounds_check_large(self):
with pytest.raises(IndexError, match=msg):
algos.take(arr, [2, 3], allow_fill=True)
- msg = "index 2 is out of bounds for size 2"
+ msg = "index 2 is out of bounds for( axis 0 with|) size 2"
with pytest.raises(IndexError, match=msg):
algos.take(arr, [2, 3], allow_fill=False)
| https://api.github.com/repos/pandas-dev/pandas/pulls/31091 | 2020-01-17T00:11:17Z | 2020-01-17T02:24:19Z | 2020-01-17T02:24:19Z | 2020-01-27T12:37:03Z | |
CLN: update _simple_new usages | diff --git a/pandas/core/indexes/datetimes.py b/pandas/core/indexes/datetimes.py
index 942b51eda7d0b..f55d943e3086e 100644
--- a/pandas/core/indexes/datetimes.py
+++ b/pandas/core/indexes/datetimes.py
@@ -253,7 +253,7 @@ def __new__(
ambiguous=ambiguous,
)
- subarr = cls._simple_new(dtarr, name=name, freq=dtarr.freq, tz=dtarr.tz)
+ subarr = cls._simple_new(dtarr, name=name)
return subarr
@classmethod
@@ -1163,7 +1163,7 @@ def date_range(
closed=closed,
**kwargs,
)
- return DatetimeIndex._simple_new(dtarr, tz=dtarr.tz, freq=dtarr.freq, name=name)
+ return DatetimeIndex._simple_new(dtarr, name=name)
def bdate_range(
diff --git a/pandas/core/indexes/timedeltas.py b/pandas/core/indexes/timedeltas.py
index 582c257b50ad0..9dba87f67c41d 100644
--- a/pandas/core/indexes/timedeltas.py
+++ b/pandas/core/indexes/timedeltas.py
@@ -177,7 +177,7 @@ def __new__(
tdarr = TimedeltaArray._from_sequence(
data, freq=freq, unit=unit, dtype=dtype, copy=copy
)
- return cls._simple_new(tdarr._data, freq=tdarr.freq, name=name)
+ return cls._simple_new(tdarr, name=name)
@classmethod
def _simple_new(cls, values, name=None, freq=None, dtype=_TD_DTYPE):
@@ -507,4 +507,4 @@ def timedelta_range(
freq, freq_infer = dtl.maybe_infer_freq(freq)
tdarr = TimedeltaArray._generate_range(start, end, periods, freq, closed=closed)
- return TimedeltaIndex._simple_new(tdarr._data, freq=tdarr.freq, name=name)
+ return TimedeltaIndex._simple_new(tdarr, name=name)
diff --git a/pandas/core/tools/datetimes.py b/pandas/core/tools/datetimes.py
index 84c17748c503c..3a9d0623ff4a6 100644
--- a/pandas/core/tools/datetimes.py
+++ b/pandas/core/tools/datetimes.py
@@ -37,9 +37,10 @@
)
from pandas.core.dtypes.missing import notna
-from pandas.arrays import IntegerArray
+from pandas.arrays import DatetimeArray, IntegerArray
from pandas.core import algorithms
from pandas.core.algorithms import unique
+from pandas.core.arrays.datetimes import tz_to_dtype
# ---------------------------------------------------------------------
# types used in annotations
@@ -282,7 +283,6 @@ def _convert_listlike_datetimes(
Index-like of parsed dates
"""
from pandas import DatetimeIndex
- from pandas.core.arrays import DatetimeArray
from pandas.core.arrays.datetimes import (
maybe_convert_dtype,
objects_to_datetime64ns,
@@ -427,7 +427,8 @@ def _convert_listlike_datetimes(
# datetime objects are found without passing `utc=True`
try:
values, tz = conversion.datetime_to_datetime64(arg)
- return DatetimeIndex._simple_new(values, name=name, tz=tz)
+ dta = DatetimeArray(values, dtype=tz_to_dtype(tz))
+ return DatetimeIndex._simple_new(dta, name=name)
except (ValueError, TypeError):
raise e
@@ -447,7 +448,8 @@ def _convert_listlike_datetimes(
if tz_parsed is not None:
# We can take a shortcut since the datetime64 numpy array
# is in UTC
- return DatetimeIndex._simple_new(result, name=name, tz=tz_parsed)
+ dta = DatetimeArray(result, dtype=tz_to_dtype(tz_parsed))
+ return DatetimeIndex._simple_new(dta, name=name)
utc = tz == "utc"
return _box_as_indexlike(result, utc=utc, name=name)
diff --git a/pandas/io/pytables.py b/pandas/io/pytables.py
index 9e8d8a2e89f20..3e4673c890bef 100644
--- a/pandas/io/pytables.py
+++ b/pandas/io/pytables.py
@@ -58,7 +58,7 @@
concat,
isna,
)
-from pandas.core.arrays.categorical import Categorical
+from pandas.core.arrays import Categorical, DatetimeArray, PeriodArray
import pandas.core.common as com
from pandas.core.computation.pytables import PyTablesExpr, maybe_expression
from pandas.core.indexes.api import ensure_index
@@ -2656,7 +2656,8 @@ def _get_index_factory(self, klass):
def f(values, freq=None, tz=None):
# data are already in UTC, localize and convert if tz present
- result = DatetimeIndex._simple_new(values.values, name=None, freq=freq)
+ dta = DatetimeArray._simple_new(values.values, freq=freq)
+ result = DatetimeIndex._simple_new(dta, name=None)
if tz is not None:
result = result.tz_localize("UTC").tz_convert(tz)
return result
@@ -2665,7 +2666,8 @@ def f(values, freq=None, tz=None):
elif klass == PeriodIndex:
def f(values, freq=None, tz=None):
- return PeriodIndex._simple_new(values, name=None, freq=freq)
+ parr = PeriodArray._simple_new(values, freq=freq)
+ return PeriodIndex._simple_new(parr, name=None)
return f
| In preparation for making the _simple_new constructors stricter, xref #31084, #31055. | https://api.github.com/repos/pandas-dev/pandas/pulls/31089 | 2020-01-16T23:49:23Z | 2020-01-18T15:59:28Z | 2020-01-18T15:59:28Z | 2020-01-18T16:14:58Z |
BUG: df.pivot_table fails when margin is True and only columns is defined | diff --git a/asv_bench/benchmarks/reshape.py b/asv_bench/benchmarks/reshape.py
index 441f4b380656e..21081ee23a773 100644
--- a/asv_bench/benchmarks/reshape.py
+++ b/asv_bench/benchmarks/reshape.py
@@ -161,6 +161,9 @@ def time_pivot_table_categorical_observed(self):
observed=True,
)
+ def time_pivot_table_margins_only_column(self):
+ self.df.pivot_table(columns=["key2", "key3"], margins=True)
+
class Crosstab:
def setup(self):
diff --git a/doc/source/whatsnew/v1.1.0.rst b/doc/source/whatsnew/v1.1.0.rst
index 1cd325dad9f07..42c5c9959af65 100644
--- a/doc/source/whatsnew/v1.1.0.rst
+++ b/doc/source/whatsnew/v1.1.0.rst
@@ -142,6 +142,7 @@ Reshaping
-
- Bug in :meth:`DataFrame.pivot_table` when only MultiIndexed columns is set (:issue:`17038`)
+- Bug in :meth:`DataFrame.pivot_table` when ``margin`` is ``True`` and only ``column`` is defined (:issue:`31016`)
- Fix incorrect error message in :meth:`DataFrame.pivot` when ``columns`` is set to ``None``. (:issue:`30924`)
- Bug in :func:`crosstab` when inputs are two Series and have tuple names, the output will keep dummy MultiIndex as columns. (:issue:`18321`)
diff --git a/pandas/core/reshape/pivot.py b/pandas/core/reshape/pivot.py
index 930ff5f454a7b..e250a072766e3 100644
--- a/pandas/core/reshape/pivot.py
+++ b/pandas/core/reshape/pivot.py
@@ -226,15 +226,7 @@ def _add_margins(
elif values:
marginal_result_set = _generate_marginal_results(
- table,
- data,
- values,
- rows,
- cols,
- aggfunc,
- observed,
- grand_margin,
- margins_name,
+ table, data, values, rows, cols, aggfunc, observed, margins_name,
)
if not isinstance(marginal_result_set, tuple):
return marginal_result_set
@@ -303,15 +295,7 @@ def _compute_grand_margin(data, values, aggfunc, margins_name: str = "All"):
def _generate_marginal_results(
- table,
- data,
- values,
- rows,
- cols,
- aggfunc,
- observed,
- grand_margin,
- margins_name: str = "All",
+ table, data, values, rows, cols, aggfunc, observed, margins_name: str = "All",
):
if len(cols) > 0:
# need to "interleave" the margins
@@ -345,12 +329,22 @@ def _all_key(key):
table_pieces.append(piece)
margin_keys.append(all_key)
else:
- margin = grand_margin
+ from pandas import DataFrame
+
cat_axis = 0
for key, piece in table.groupby(level=0, axis=cat_axis, observed=observed):
- all_key = _all_key(key)
+ if len(cols) > 1:
+ all_key = _all_key(key)
+ else:
+ all_key = margins_name
table_pieces.append(piece)
- table_pieces.append(Series(margin[key], index=[all_key]))
+ # GH31016 this is to calculate margin for each group, and assign
+ # corresponded key as index
+ transformed_piece = DataFrame(piece.apply(aggfunc)).T
+ transformed_piece.index = Index([all_key], name=piece.index.name)
+
+ # append piece for margin into table_piece
+ table_pieces.append(transformed_piece)
margin_keys.append(all_key)
result = concat(table_pieces, axis=cat_axis)
diff --git a/pandas/tests/reshape/test_pivot.py b/pandas/tests/reshape/test_pivot.py
index 44073f56abfa1..6850c52ca05ea 100644
--- a/pandas/tests/reshape/test_pivot.py
+++ b/pandas/tests/reshape/test_pivot.py
@@ -910,6 +910,64 @@ def _check_output(
totals = table.loc[("All", ""), item]
assert totals == self.data[item].mean()
+ @pytest.mark.parametrize(
+ "columns, aggfunc, values, expected_columns",
+ [
+ (
+ "A",
+ np.mean,
+ [[5.5, 5.5, 2.2, 2.2], [8.0, 8.0, 4.4, 4.4]],
+ Index(["bar", "All", "foo", "All"], name="A"),
+ ),
+ (
+ ["A", "B"],
+ "sum",
+ [[9, 13, 22, 5, 6, 11], [14, 18, 32, 11, 11, 22]],
+ MultiIndex.from_tuples(
+ [
+ ("bar", "one"),
+ ("bar", "two"),
+ ("bar", "All"),
+ ("foo", "one"),
+ ("foo", "two"),
+ ("foo", "All"),
+ ],
+ names=["A", "B"],
+ ),
+ ),
+ ],
+ )
+ def test_margin_with_only_columns_defined(
+ self, columns, aggfunc, values, expected_columns
+ ):
+ # GH 31016
+ df = pd.DataFrame(
+ {
+ "A": ["foo", "foo", "foo", "foo", "foo", "bar", "bar", "bar", "bar"],
+ "B": ["one", "one", "one", "two", "two", "one", "one", "two", "two"],
+ "C": [
+ "small",
+ "large",
+ "large",
+ "small",
+ "small",
+ "large",
+ "small",
+ "small",
+ "large",
+ ],
+ "D": [1, 2, 2, 3, 3, 4, 5, 6, 7],
+ "E": [2, 4, 5, 5, 6, 6, 8, 9, 9],
+ }
+ )
+
+ result = df.pivot_table(columns=columns, margins=True, aggfunc=aggfunc)
+ expected = pd.DataFrame(
+ values, index=Index(["D", "E"]), columns=expected_columns
+ )
+
+ tm.assert_frame_equal(result, expected)
+
def test_margins_dtype(self):
# GH 17013
| - [x] closes #31016
- [x] tests added / passed
- [x] passes `black pandas`
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [x] whatsnew entry
| https://api.github.com/repos/pandas-dev/pandas/pulls/31088 | 2020-01-16T21:31:59Z | 2020-01-20T20:08:12Z | 2020-01-20T20:08:11Z | 2021-07-03T06:49:58Z |
DOC: automatic 'end' year of copyright | diff --git a/doc/source/conf.py b/doc/source/conf.py
index c6786a03f0e44..7f24d02a496e1 100644
--- a/doc/source/conf.py
+++ b/doc/source/conf.py
@@ -10,6 +10,7 @@
# All configuration values have a default; values that are commented out
# serve to show the default.
+from datetime import datetime
import importlib
import inspect
import logging
@@ -137,7 +138,7 @@
# General information about the project.
project = "pandas"
-copyright = "2008-2020, the pandas development team"
+copyright = f"2008-{datetime.now().year}, the pandas development team"
# The version info for the project you're documenting, acts as replacement for
# |version| and |release|, also used in various other places throughout the
| #31022 Updated it after nearly 6 years, I think this will update with each new merge, so that should not be a problem from now on, (I think)
cc (@datapythonista)
| https://api.github.com/repos/pandas-dev/pandas/pulls/31085 | 2020-01-16T19:41:07Z | 2020-01-16T21:36:54Z | 2020-01-16T21:36:54Z | 2020-01-16T23:39:35Z |
REF: stricter types for RangeIndex._simple_new | diff --git a/pandas/core/indexes/base.py b/pandas/core/indexes/base.py
index 47daaa4958411..22a0097c6b95f 100644
--- a/pandas/core/indexes/base.py
+++ b/pandas/core/indexes/base.py
@@ -57,6 +57,7 @@
ABCMultiIndex,
ABCPandasArray,
ABCPeriodIndex,
+ ABCRangeIndex,
ABCSeries,
ABCTimedeltaIndex,
)
@@ -3105,7 +3106,10 @@ def reindex(self, target, method=None, level=None, limit=None, tolerance=None):
if not isinstance(target, Index) and len(target) == 0:
attrs = self._get_attributes_dict()
attrs.pop("freq", None) # don't preserve freq
- values = self._data[:0] # appropriately-dtyped empty array
+ if isinstance(self, ABCRangeIndex):
+ values = range(0)
+ else:
+ values = self._data[:0] # appropriately-dtyped empty array
target = self._simple_new(values, dtype=self.dtype, **attrs)
else:
target = ensure_index(target)
diff --git a/pandas/core/indexes/range.py b/pandas/core/indexes/range.py
index 5c79942efb908..1629396796b85 100644
--- a/pandas/core/indexes/range.py
+++ b/pandas/core/indexes/range.py
@@ -27,12 +27,14 @@
import pandas.core.common as com
from pandas.core.construction import extract_array
import pandas.core.indexes.base as ibase
-from pandas.core.indexes.base import Index, _index_shared_docs, maybe_extract_name
+from pandas.core.indexes.base import _index_shared_docs, maybe_extract_name
from pandas.core.indexes.numeric import Int64Index
from pandas.core.ops.common import unpack_zerodim_and_defer
from pandas.io.formats.printing import pprint_thing
+_empty_range = range(0)
+
class RangeIndex(Int64Index):
"""
@@ -130,15 +132,10 @@ def from_range(cls, data, name=None, dtype=None):
return cls._simple_new(data, dtype=dtype, name=name)
@classmethod
- def _simple_new(cls, values, name=None, dtype=None):
+ def _simple_new(cls, values: range, name=None, dtype=None) -> "RangeIndex":
result = object.__new__(cls)
- # handle passed None, non-integers
- if values is None:
- # empty
- values = range(0, 0, 1)
- elif not isinstance(values, range):
- return Index(values, dtype=dtype, name=name)
+ assert isinstance(values, range)
result._range = values
result.name = name
@@ -482,7 +479,7 @@ def intersection(self, other, sort=False):
return super().intersection(other, sort=sort)
if not len(self) or not len(other):
- return self._simple_new(None)
+ return self._simple_new(_empty_range)
first = self._range[::-1] if self.step < 0 else self._range
second = other._range[::-1] if other.step < 0 else other._range
@@ -492,7 +489,7 @@ def intersection(self, other, sort=False):
int_low = max(first.start, second.start)
int_high = min(first.stop, second.stop)
if int_high <= int_low:
- return self._simple_new(None)
+ return self._simple_new(_empty_range)
# Method hint: linear Diophantine equation
# solve intersection problem
@@ -502,7 +499,7 @@ def intersection(self, other, sort=False):
# check whether element sets intersect
if (first.start - second.start) % gcd:
- return self._simple_new(None)
+ return self._simple_new(_empty_range)
# calculate parameters for the RangeIndex describing the
# intersection disregarding the lower bounds
| xref #31055. | https://api.github.com/repos/pandas-dev/pandas/pulls/31084 | 2020-01-16T19:24:11Z | 2020-01-16T23:55:08Z | 2020-01-16T23:55:08Z | 2020-01-17T01:08:23Z |
CLN: Remove download_wheels.py, moved to pandas-release | diff --git a/scripts/download_wheels.py b/scripts/download_wheels.py
deleted file mode 100644
index 3d36eed2d888a..0000000000000
--- a/scripts/download_wheels.py
+++ /dev/null
@@ -1,47 +0,0 @@
-#!/usr/bin/env python
-"""Fetch wheels from wheels.scipy.org for a pandas version."""
-import argparse
-import pathlib
-import sys
-import urllib.parse
-import urllib.request
-
-from lxml import html
-
-
-def parse_args(args=None):
- parser = argparse.ArgumentParser(description=__doc__)
- parser.add_argument("version", type=str, help="Pandas version (0.23.0)")
- return parser.parse_args(args)
-
-
-def fetch(version):
- base = "http://wheels.scipy.org"
- tree = html.parse(base)
- root = tree.getroot()
-
- dest = pathlib.Path("dist")
- dest.mkdir(exist_ok=True)
-
- files = [
- x
- for x in root.xpath("//a/text()")
- if x.startswith(f"pandas-{version}") and not dest.joinpath(x).exists()
- ]
-
- N = len(files)
-
- for i, filename in enumerate(files, 1):
- out = str(dest.joinpath(filename))
- link = urllib.request.urljoin(base, filename)
- urllib.request.urlretrieve(link, out)
- print(f"Downloaded {link} to {out} [{i}/{N}]")
-
-
-def main(args=None):
- args = parse_args(args)
- fetch(args.version)
-
-
-if __name__ == "__main__":
- sys.exit(main())
| - [X] xref #31039
Script being moved to the pandas-release repository in https://github.com/pandas-dev/pandas-release/pull/23 | https://api.github.com/repos/pandas-dev/pandas/pulls/31083 | 2020-01-16T19:15:37Z | 2020-01-16T21:46:29Z | 2020-01-16T21:46:29Z | 2020-01-16T21:46:34Z |
CLN: Moved the same code in 'if' and the 'else' outside | diff --git a/setup.py b/setup.py
index 6635b58cd7103..86fe62202c643 100755
--- a/setup.py
+++ b/setup.py
@@ -412,15 +412,14 @@ def run(self):
cmdclass.update({"clean": CleanCommand, "build": build})
+cmdclass["build_ext"] = CheckingBuildExt
if cython:
suffix = ".pyx"
- cmdclass["build_ext"] = CheckingBuildExt
cmdclass["cython"] = CythonCommand
else:
suffix = ".c"
cmdclass["build_src"] = DummyBuildSrc
- cmdclass["build_ext"] = CheckingBuildExt
# ----------------------------------------------------------------------
# Preparation of compiler arguments
| AFICT this should be ok, right?
cc (@WillAyd) | https://api.github.com/repos/pandas-dev/pandas/pulls/31081 | 2020-01-16T18:50:48Z | 2020-01-16T19:49:50Z | 2020-01-16T19:49:50Z | 2020-01-16T19:52:14Z |
TST: Remove bare pytest.raises | diff --git a/pandas/core/ops/array_ops.py b/pandas/core/ops/array_ops.py
index b84d468fff736..064e2e3ea4412 100644
--- a/pandas/core/ops/array_ops.py
+++ b/pandas/core/ops/array_ops.py
@@ -95,7 +95,9 @@ def masked_arith_op(x, y, op):
else:
if not is_scalar(y):
- raise TypeError(type(y))
+ raise TypeError(
+ f"Cannot broadcast np.ndarray with operand of type { type(y) }"
+ )
# mask is only meaningful for x
result = np.empty(x.size, dtype=x.dtype)
diff --git a/pandas/tests/arithmetic/test_numeric.py b/pandas/tests/arithmetic/test_numeric.py
index f55e2b98ee912..7c0f94001d306 100644
--- a/pandas/tests/arithmetic/test_numeric.py
+++ b/pandas/tests/arithmetic/test_numeric.py
@@ -135,10 +135,11 @@ def test_div_td64arr(self, left, box_cls):
result = right // left
tm.assert_equal(result, expected)
- with pytest.raises(TypeError):
+ msg = "Cannot divide"
+ with pytest.raises(TypeError, match=msg):
left / right
- with pytest.raises(TypeError):
+ with pytest.raises(TypeError, match=msg):
left // right
# TODO: de-duplicate with test_numeric_arr_mul_tdscalar
@@ -187,7 +188,8 @@ def test_numeric_arr_rdiv_tdscalar(self, three_days, numeric_idx, box):
result = three_days / index
tm.assert_equal(result, expected)
- with pytest.raises(TypeError):
+ msg = "cannot use operands with types dtype"
+ with pytest.raises(TypeError, match=msg):
index / three_days
@pytest.mark.parametrize(
@@ -205,13 +207,19 @@ def test_numeric_arr_rdiv_tdscalar(self, three_days, numeric_idx, box):
)
def test_add_sub_timedeltalike_invalid(self, numeric_idx, other, box):
left = tm.box_expected(numeric_idx, box)
- with pytest.raises(TypeError):
+ msg = (
+ "unsupported operand type|"
+ "Addition/subtraction of integers and integer-arrays|"
+ "Instead of adding/subtracting|"
+ "cannot use operands with types dtype"
+ )
+ with pytest.raises(TypeError, match=msg):
left + other
- with pytest.raises(TypeError):
+ with pytest.raises(TypeError, match=msg):
other + left
- with pytest.raises(TypeError):
+ with pytest.raises(TypeError, match=msg):
left - other
- with pytest.raises(TypeError):
+ with pytest.raises(TypeError, match=msg):
other - left
@pytest.mark.parametrize(
@@ -229,13 +237,18 @@ def test_add_sub_datetimelike_invalid(self, numeric_idx, other, box):
# NullFrequencyError instead of TypeError so is excluded.
left = tm.box_expected(numeric_idx, box)
- with pytest.raises(TypeError):
+ msg = (
+ "unsupported operand type|"
+ "Cannot (add|subtract) NaT (to|from) ndarray|"
+ "Addition/subtraction of integers and integer-arrays"
+ )
+ with pytest.raises(TypeError, match=msg):
left + other
- with pytest.raises(TypeError):
+ with pytest.raises(TypeError, match=msg):
other + left
- with pytest.raises(TypeError):
+ with pytest.raises(TypeError, match=msg):
left - other
- with pytest.raises(TypeError):
+ with pytest.raises(TypeError, match=msg):
other - left
@@ -607,14 +620,16 @@ def test_mul_index(self, numeric_idx):
def test_mul_datelike_raises(self, numeric_idx):
idx = numeric_idx
- with pytest.raises(TypeError):
+ msg = "cannot perform __rmul__ with this index type"
+ with pytest.raises(TypeError, match=msg):
idx * pd.date_range("20130101", periods=5)
def test_mul_size_mismatch_raises(self, numeric_idx):
idx = numeric_idx
- with pytest.raises(ValueError):
+ msg = "operands could not be broadcast together"
+ with pytest.raises(ValueError, match=msg):
idx * idx[0:3]
- with pytest.raises(ValueError):
+ with pytest.raises(ValueError, match=msg):
idx * np.array([1, 2])
@pytest.mark.parametrize("op", [operator.pow, ops.rpow])
@@ -792,10 +807,11 @@ def test_series_frame_radd_bug(self):
# really raise this time
now = pd.Timestamp.now().to_pydatetime()
- with pytest.raises(TypeError):
+ msg = "unsupported operand type"
+ with pytest.raises(TypeError, match=msg):
now + ts
- with pytest.raises(TypeError):
+ with pytest.raises(TypeError, match=msg):
ts + now
# TODO: This came from series.test.test_operators, needs cleanup
@@ -816,7 +832,8 @@ def test_datetime64_with_index(self):
result = ser - ser.index
tm.assert_series_equal(result, expected)
- with pytest.raises(TypeError):
+ msg = "cannot subtract period"
+ with pytest.raises(TypeError, match=msg):
# GH#18850
result = ser - ser.index.to_period()
diff --git a/pandas/tests/arithmetic/test_object.py b/pandas/tests/arithmetic/test_object.py
index c0d3c9d4977bd..579cede8b8480 100644
--- a/pandas/tests/arithmetic/test_object.py
+++ b/pandas/tests/arithmetic/test_object.py
@@ -155,9 +155,10 @@ def test_objarr_add_invalid(self, op, box_with_array):
obj_ser.name = "objects"
obj_ser = tm.box_expected(obj_ser, box)
- with pytest.raises(Exception):
+ msg = "can only concatenate str|unsupported operand type|must be str"
+ with pytest.raises(Exception, match=msg):
op(obj_ser, 1)
- with pytest.raises(Exception):
+ with pytest.raises(Exception, match=msg):
op(obj_ser, np.array(1, dtype=np.int64))
# TODO: Moved from tests.series.test_operators; needs cleanup
@@ -281,13 +282,15 @@ def test_add(self):
def test_sub_fail(self):
index = tm.makeStringIndex(100)
- with pytest.raises(TypeError):
+
+ msg = "unsupported operand type|Cannot broadcast"
+ with pytest.raises(TypeError, match=msg):
index - "a"
- with pytest.raises(TypeError):
+ with pytest.raises(TypeError, match=msg):
index - index
- with pytest.raises(TypeError):
+ with pytest.raises(TypeError, match=msg):
index - index.tolist()
- with pytest.raises(TypeError):
+ with pytest.raises(TypeError, match=msg):
index.tolist() - index
def test_sub_object(self):
@@ -301,10 +304,11 @@ def test_sub_object(self):
result = index - pd.Index([Decimal(1), Decimal(1)])
tm.assert_index_equal(result, expected)
- with pytest.raises(TypeError):
+ msg = "unsupported operand type"
+ with pytest.raises(TypeError, match=msg):
index - "foo"
- with pytest.raises(TypeError):
+ with pytest.raises(TypeError, match=msg):
index - np.array([2, "foo"])
def test_rsub_object(self):
@@ -318,8 +322,9 @@ def test_rsub_object(self):
result = np.array([Decimal(2), Decimal(2)]) - index
tm.assert_index_equal(result, expected)
- with pytest.raises(TypeError):
+ msg = "unsupported operand type"
+ with pytest.raises(TypeError, match=msg):
"foo" - index
- with pytest.raises(TypeError):
+ with pytest.raises(TypeError, match=msg):
np.array([True, pd.Timestamp.now()]) - index
diff --git a/pandas/tests/arithmetic/test_timedelta64.py b/pandas/tests/arithmetic/test_timedelta64.py
index 158da37aa7239..abdeb1b30b626 100644
--- a/pandas/tests/arithmetic/test_timedelta64.py
+++ b/pandas/tests/arithmetic/test_timedelta64.py
@@ -48,7 +48,8 @@ def test_compare_timedelta64_zerodim(self, box_with_array):
expected = tm.box_expected(expected, xbox)
tm.assert_equal(res, expected)
- with pytest.raises(TypeError):
+ msg = "Invalid comparison between dtype"
+ with pytest.raises(TypeError, match=msg):
# zero-dim of wrong dtype should still raise
tdi >= np.array(4)
@@ -442,7 +443,8 @@ def test_addition_ops(self):
tdi[0:1] + dti
# random indexes
- with pytest.raises(TypeError):
+ msg = "Addition/subtraction of integers and integer-arrays"
+ with pytest.raises(TypeError, match=msg):
tdi + pd.Int64Index([1, 2, 3])
# this is a union!
@@ -604,6 +606,7 @@ def test_tdi_add_timestamp_nat_masking(self):
def test_tdi_add_overflow(self):
# See GH#14068
# preliminary test scalar analogue of vectorized tests below
+ # TODO: Make raised error message more informative and test
with pytest.raises(OutOfBoundsDatetime):
pd.to_timedelta(106580, "D") + Timestamp("2000")
with pytest.raises(OutOfBoundsDatetime):
@@ -700,13 +703,14 @@ def test_timedelta_ops_with_missing_values(self):
actual = -timedelta_NaT + s1
tm.assert_series_equal(actual, sn)
- with pytest.raises(TypeError):
+ msg = "unsupported operand type"
+ with pytest.raises(TypeError, match=msg):
s1 + np.nan
- with pytest.raises(TypeError):
+ with pytest.raises(TypeError, match=msg):
np.nan + s1
- with pytest.raises(TypeError):
+ with pytest.raises(TypeError, match=msg):
s1 - np.nan
- with pytest.raises(TypeError):
+ with pytest.raises(TypeError, match=msg):
-np.nan + s1
actual = s1 + pd.NaT
@@ -738,9 +742,10 @@ def test_timedelta_ops_with_missing_values(self):
actual = df1 - timedelta_NaT
tm.assert_frame_equal(actual, dfn)
- with pytest.raises(TypeError):
+ msg = "cannot subtract a datelike from|unsupported operand type"
+ with pytest.raises(TypeError, match=msg):
df1 + np.nan
- with pytest.raises(TypeError):
+ with pytest.raises(TypeError, match=msg):
df1 - np.nan
actual = df1 + pd.NaT # NaT is datetime, not timedelta
@@ -957,7 +962,8 @@ def test_td64arr_add_sub_datetimelike_scalar(self, ts, box_with_array):
tm.assert_equal(ts - tdarr, expected2)
tm.assert_equal(ts + (-tdarr), expected2)
- with pytest.raises(TypeError):
+ msg = "cannot subtract a datelike"
+ with pytest.raises(TypeError, match=msg):
tdarr - ts
def test_tdi_sub_dt64_array(self, box_with_array):
@@ -969,7 +975,8 @@ def test_tdi_sub_dt64_array(self, box_with_array):
tdi = tm.box_expected(tdi, box_with_array)
expected = tm.box_expected(expected, box_with_array)
- with pytest.raises(TypeError):
+ msg = "cannot subtract a datelike from"
+ with pytest.raises(TypeError, match=msg):
tdi - dtarr
# TimedeltaIndex.__rsub__
@@ -1025,7 +1032,8 @@ def test_td64arr_sub_periodlike(self, box_with_array, tdi_freq, pi_freq):
# TODO: parametrize over box for pi?
tdi = tm.box_expected(tdi, box_with_array)
- with pytest.raises(TypeError):
+ msg = "cannot subtract|unsupported operand type"
+ with pytest.raises(TypeError, match=msg):
tdi - pi
# FIXME: don't leave commented-out
@@ -1034,9 +1042,9 @@ def test_td64arr_sub_periodlike(self, box_with_array, tdi_freq, pi_freq):
# pi - tdi
# GH#13078 subtraction of Period scalar not supported
- with pytest.raises(TypeError):
+ with pytest.raises(TypeError, match=msg):
tdi - pi[0]
- with pytest.raises(TypeError):
+ with pytest.raises(TypeError, match=msg):
pi[0] - tdi
@pytest.mark.parametrize(
@@ -1499,16 +1507,17 @@ def test_td64arr_addsub_anchored_offset_arraylike(self, obox, box_with_array):
# addition/subtraction ops with anchored offsets should issue
# a PerformanceWarning and _then_ raise a TypeError.
- with pytest.raises(TypeError):
+ msg = "has incorrect type|cannot add the type MonthEnd"
+ with pytest.raises(TypeError, match=msg):
with tm.assert_produces_warning(PerformanceWarning):
tdi + anchored
- with pytest.raises(TypeError):
+ with pytest.raises(TypeError, match=msg):
with tm.assert_produces_warning(PerformanceWarning):
anchored + tdi
- with pytest.raises(TypeError):
+ with pytest.raises(TypeError, match=msg):
with tm.assert_produces_warning(PerformanceWarning):
tdi - anchored
- with pytest.raises(TypeError):
+ with pytest.raises(TypeError, match=msg):
with tm.assert_produces_warning(PerformanceWarning):
anchored - tdi
@@ -1533,7 +1542,8 @@ def test_td64arr_add_sub_object_array(self, box_with_array):
expected = tm.box_expected(expected, box_with_array)
tm.assert_equal(result, expected)
- with pytest.raises(TypeError):
+ msg = "unsupported operand type|cannot subtract a datelike"
+ with pytest.raises(TypeError, match=msg):
with tm.assert_produces_warning(warn):
tdarr - other
@@ -1588,7 +1598,8 @@ def test_td64arr_mul_int(self, box_with_array):
def test_td64arr_mul_tdlike_scalar_raises(self, two_hours, box_with_array):
rng = timedelta_range("1 days", "10 days", name="foo")
rng = tm.box_expected(rng, box_with_array)
- with pytest.raises(TypeError):
+ msg = "argument must be an integer|cannot use operands with types dtype"
+ with pytest.raises(TypeError, match=msg):
rng * two_hours
def test_tdi_mul_int_array_zerodim(self, box_with_array):
@@ -1777,12 +1788,13 @@ def test_tdarr_div_length_mismatch(self, box_with_array):
mismatched = [1, 2, 3, 4]
rng = tm.box_expected(rng, box_with_array)
+ msg = "Cannot divide vectors|Unable to coerce to Series"
for obj in [mismatched, mismatched[:2]]:
# one shorter, one longer
for other in [obj, np.array(obj), pd.Index(obj)]:
- with pytest.raises(ValueError):
+ with pytest.raises(ValueError, match=msg):
rng / other
- with pytest.raises(ValueError):
+ with pytest.raises(ValueError, match=msg):
other / rng
# ------------------------------------------------------------------
@@ -1908,7 +1920,8 @@ def test_td64arr_mod_int(self, box_with_array):
result = tdarr % 2
tm.assert_equal(result, expected)
- with pytest.raises(TypeError):
+ msg = "Cannot divide int by"
+ with pytest.raises(TypeError, match=msg):
2 % tdarr
if box_with_array is pd.DataFrame:
@@ -1957,15 +1970,21 @@ def test_td64arr_mul_tdscalar_invalid(self, box_with_array, scalar_td):
def test_td64arr_mul_too_short_raises(self, box_with_array):
idx = TimedeltaIndex(np.arange(5, dtype="int64"))
idx = tm.box_expected(idx, box_with_array)
- with pytest.raises(TypeError):
+ msg = (
+ "cannot use operands with types dtype|"
+ "Cannot multiply with unequal lengths|"
+ "Unable to coerce to Series"
+ )
+ with pytest.raises(TypeError, match=msg):
idx * idx[:3]
- with pytest.raises(ValueError):
+ with pytest.raises(ValueError, match=msg):
idx * np.array([1, 2])
def test_td64arr_mul_td64arr_raises(self, box_with_array):
idx = TimedeltaIndex(np.arange(5, dtype="int64"))
idx = tm.box_expected(idx, box_with_array)
- with pytest.raises(TypeError):
+ msg = "cannot use operands with types dtype"
+ with pytest.raises(TypeError, match=msg):
idx * idx
# ------------------------------------------------------------------
diff --git a/pandas/tests/arrays/interval/test_interval.py b/pandas/tests/arrays/interval/test_interval.py
index e046d87780bb4..35eda4a0ec5bc 100644
--- a/pandas/tests/arrays/interval/test_interval.py
+++ b/pandas/tests/arrays/interval/test_interval.py
@@ -152,7 +152,7 @@ def test_arrow_array():
assert result.equals(expected)
# unsupported conversions
- with pytest.raises(TypeError):
+ with pytest.raises(TypeError, match="Not supported to convert IntervalArray"):
pa.array(intervals, type="float64")
with pytest.raises(TypeError, match="different 'subtype'"):
| References #30999
Adds match argument to pytest.raises found in the following files. https://github.com/pandas-dev/pandas/issues/30999#issuecomment-574174389
**ToDo:**
- [x] pandas/tests/arithmetic/test_numeric
- [X] pandas/tests/arithmetic/test_object
- [x] pandas/tests/arithmetic/test_timedelta64
- [x] pandas/tests/arrays/interval/test_interval
- [ ] add whatsnew entry | https://api.github.com/repos/pandas-dev/pandas/pulls/31079 | 2020-01-16T18:02:21Z | 2020-01-24T03:57:24Z | 2020-01-24T03:57:24Z | 2020-01-27T04:45:27Z |
CLN: remove unused legacy pickle compat code | diff --git a/pandas/core/generic.py b/pandas/core/generic.py
index b73f129fbda8e..6332ff45c59d0 100644
--- a/pandas/core/generic.py
+++ b/pandas/core/generic.py
@@ -1928,9 +1928,9 @@ def __setstate__(self, state):
object.__setattr__(self, k, v)
else:
- self._unpickle_series_compat(state)
+ raise NotImplementedError("Pre-0.12 pickles are no longer supported")
elif len(state) == 2:
- self._unpickle_series_compat(state)
+ raise NotImplementedError("Pre-0.12 pickles are no longer supported")
self._item_cache = {}
diff --git a/pandas/core/internals/managers.py b/pandas/core/internals/managers.py
index 1fce2594062d5..24cc551ad0e45 100644
--- a/pandas/core/internals/managers.py
+++ b/pandas/core/internals/managers.py
@@ -279,30 +279,7 @@ def unpickle_block(values, mgr_locs):
unpickle_block(b["values"], b["mgr_locs"]) for b in state["blocks"]
)
else:
- # discard anything after 3rd, support beta pickling format for a
- # little while longer
- ax_arrays, bvalues, bitems = state[:3]
-
- self.axes = [ensure_index(ax) for ax in ax_arrays]
-
- if len(bitems) == 1 and self.axes[0].equals(bitems[0]):
- # This is a workaround for pre-0.14.1 pickles that didn't
- # support unpickling multi-block frames/panels with non-unique
- # columns/items, because given a manager with items ["a", "b",
- # "a"] there's no way of knowing which block's "a" is where.
- #
- # Single-block case can be supported under the assumption that
- # block items corresponded to manager items 1-to-1.
- all_mgr_locs = [slice(0, len(bitems[0]))]
- else:
- all_mgr_locs = [
- self.axes[0].get_indexer(blk_items) for blk_items in bitems
- ]
-
- self.blocks = tuple(
- unpickle_block(values, mgr_locs)
- for values, mgr_locs in zip(bvalues, all_mgr_locs)
- )
+ raise NotImplementedError("pre-0.14.1 pickles are no longer supported")
self._post_setstate()
diff --git a/pandas/core/series.py b/pandas/core/series.py
index 01b68550391e6..22b347c39fc54 100644
--- a/pandas/core/series.py
+++ b/pandas/core/series.py
@@ -744,35 +744,6 @@ def __array__(self, dtype=None) -> np.ndarray:
# ----------------------------------------------------------------------
- def _unpickle_series_compat(self, state) -> None:
- if isinstance(state, dict):
- self._data = state["_data"]
- self.name = state["name"]
- self.index = self._data.index
-
- elif isinstance(state, tuple):
-
- # < 0.12 series pickle
-
- nd_state, own_state = state
-
- # recreate the ndarray
- data = np.empty(nd_state[1], dtype=nd_state[2])
- np.ndarray.__setstate__(data, nd_state)
-
- # backwards compat
- index, name = own_state[0], None
- if len(own_state) > 1:
- name = own_state[1]
-
- # recreate
- self._data = SingleBlockManager(data, index, fastpath=True)
- self._index = index
- self.name = name
-
- else:
- raise Exception(f"cannot unpickle legacy formats -> [{state}]")
-
# indexers
@property
def axes(self) -> List[Index]:
| - [ ] closes #xxxx
- [ ] tests added / passed
- [ ] passes `black pandas`
- [ ] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [ ] whatsnew entry
| https://api.github.com/repos/pandas-dev/pandas/pulls/31078 | 2020-01-16T17:57:13Z | 2020-01-16T23:50:41Z | 2020-01-16T23:50:41Z | 2020-01-17T10:07:41Z |
STY: Some stuff that triggers my OCD ;) | diff --git a/pandas/_libs/hashtable.pyx b/pandas/_libs/hashtable.pyx
index 59ba1705d2dbb..884db9ee931d4 100644
--- a/pandas/_libs/hashtable.pyx
+++ b/pandas/_libs/hashtable.pyx
@@ -13,26 +13,45 @@ cnp.import_array()
cdef extern from "numpy/npy_math.h":
float64_t NAN "NPY_NAN"
-
from pandas._libs.khash cimport (
khiter_t,
-
- kh_str_t, kh_init_str, kh_put_str, kh_exist_str,
- kh_get_str, kh_destroy_str, kh_resize_str,
-
- kh_put_strbox, kh_get_strbox, kh_init_strbox,
-
- kh_int64_t, kh_init_int64, kh_resize_int64, kh_destroy_int64,
- kh_get_int64, kh_exist_int64, kh_put_int64,
-
- kh_float64_t, kh_exist_float64, kh_put_float64, kh_init_float64,
- kh_get_float64, kh_destroy_float64, kh_resize_float64,
-
- kh_resize_uint64, kh_exist_uint64, kh_destroy_uint64, kh_put_uint64,
- kh_get_uint64, kh_init_uint64,
-
- kh_destroy_pymap, kh_exist_pymap, kh_init_pymap, kh_get_pymap,
- kh_put_pymap, kh_resize_pymap)
+ kh_str_t,
+ kh_init_str,
+ kh_put_str,
+ kh_exist_str,
+ kh_get_str,
+ kh_destroy_str,
+ kh_resize_str,
+ kh_put_strbox,
+ kh_get_strbox,
+ kh_init_strbox,
+ kh_int64_t,
+ kh_init_int64,
+ kh_resize_int64,
+ kh_destroy_int64,
+ kh_get_int64,
+ kh_exist_int64,
+ kh_put_int64,
+ kh_float64_t,
+ kh_exist_float64,
+ kh_put_float64,
+ kh_init_float64,
+ kh_get_float64,
+ kh_destroy_float64,
+ kh_resize_float64,
+ kh_resize_uint64,
+ kh_exist_uint64,
+ kh_destroy_uint64,
+ kh_put_uint64,
+ kh_get_uint64,
+ kh_init_uint64,
+ kh_destroy_pymap,
+ kh_exist_pymap,
+ kh_init_pymap,
+ kh_get_pymap,
+ kh_put_pymap,
+ kh_resize_pymap,
+)
cimport pandas._libs.util as util
@@ -63,8 +82,9 @@ cdef class Factorizer:
def get_count(self):
return self.count
- def factorize(self, ndarray[object] values, sort=False, na_sentinel=-1,
- na_value=None):
+ def factorize(
+ self, ndarray[object] values, sort=False, na_sentinel=-1, na_value=None
+ ):
"""
Factorize values with nans replaced by na_sentinel
>>> factorize(np.array([1,2,np.nan], dtype='O'), na_sentinel=20)
diff --git a/pandas/_libs/window/aggregations.pyx b/pandas/_libs/window/aggregations.pyx
index fe74d701ef00f..f675818599b2c 100644
--- a/pandas/_libs/window/aggregations.pyx
+++ b/pandas/_libs/window/aggregations.pyx
@@ -56,8 +56,9 @@ cdef:
cdef inline int int_max(int a, int b): return a if a >= b else b
cdef inline int int_min(int a, int b): return a if a <= b else b
-cdef inline bint is_monotonic_start_end_bounds(ndarray[int64_t, ndim=1] start,
- ndarray[int64_t, ndim=1] end):
+cdef inline bint is_monotonic_start_end_bounds(
+ ndarray[int64_t, ndim=1] start, ndarray[int64_t, ndim=1] end
+):
return is_monotonic(start, False)[0] and is_monotonic(end, False)[0]
# Cython implementations of rolling sum, mean, variance, skewness,
@@ -90,8 +91,12 @@ cdef inline bint is_monotonic_start_end_bounds(ndarray[int64_t, ndim=1] start,
# this is only an impl for index not None, IOW, freq aware
-def roll_count(ndarray[float64_t] values, ndarray[int64_t] start, ndarray[int64_t] end,
- int64_t minp):
+def roll_count(
+ ndarray[float64_t] values,
+ ndarray[int64_t] start,
+ ndarray[int64_t] end,
+ int64_t minp,
+):
cdef:
float64_t val, count_x = 0.0
int64_t s, e, nobs, N = len(values)
diff --git a/pandas/io/sas/sas.pyx b/pandas/io/sas/sas.pyx
index 211935009d2e5..d05e5a95e9f5a 100644
--- a/pandas/io/sas/sas.pyx
+++ b/pandas/io/sas/sas.pyx
@@ -13,8 +13,7 @@ ctypedef unsigned short uint16_t
# algorithm. It is partially documented here:
#
# https://cran.r-project.org/package=sas7bdat/vignettes/sas7bdat.pdf
-cdef const uint8_t[:] rle_decompress(int result_length,
- const uint8_t[:] inbuff):
+cdef const uint8_t[:] rle_decompress(int result_length, const uint8_t[:] inbuff):
cdef:
uint8_t control_byte, x
@@ -117,8 +116,7 @@ cdef const uint8_t[:] rle_decompress(int result_length,
# rdc_decompress decompresses data using the Ross Data Compression algorithm:
#
# http://collaboration.cmc.ec.gc.ca/science/rpn/biblio/ddj/Website/articles/CUJ/1992/9210/ross/ross.htm
-cdef const uint8_t[:] rdc_decompress(int result_length,
- const uint8_t[:] inbuff):
+cdef const uint8_t[:] rdc_decompress(int result_length, const uint8_t[:] inbuff):
cdef:
uint8_t cmd
@@ -233,8 +231,7 @@ cdef class Parser:
int subheader_pointer_length
int current_page_type
bint is_little_endian
- const uint8_t[:] (*decompress)(int result_length,
- const uint8_t[:] inbuff)
+ const uint8_t[:] (*decompress)(int result_length, const uint8_t[:] inbuff)
object parser
def __init__(self, object parser):
@@ -267,9 +264,7 @@ cdef class Parser:
elif column_types[j] == b's':
self.column_types[j] = column_type_string
else:
- raise ValueError(
- f"unknown column type: {self.parser.columns[j].ctype}"
- )
+ raise ValueError(f"unknown column type: {self.parser.columns[j].ctype}")
# compression
if parser.compression == const.rle_compression:
@@ -296,8 +291,7 @@ cdef class Parser:
# update the parser
self.parser._current_row_on_page_index = self.current_row_on_page_index
- self.parser._current_row_in_chunk_index =\
- self.current_row_in_chunk_index
+ self.parser._current_row_in_chunk_index = self.current_row_in_chunk_index
self.parser._current_row_in_file_index = self.current_row_in_file_index
cdef bint read_next_page(self):
@@ -318,9 +312,9 @@ cdef class Parser:
self.current_page_type = self.parser._current_page_type
self.current_page_block_count = self.parser._current_page_block_count
self.current_page_data_subheader_pointers_len = len(
- self.parser._current_page_data_subheader_pointers)
- self.current_page_subheaders_count =\
- self.parser._current_page_subheaders_count
+ self.parser._current_page_data_subheader_pointers
+ )
+ self.current_page_subheaders_count = self.parser._current_page_subheaders_count
cdef readline(self):
@@ -358,19 +352,18 @@ cdef class Parser:
return False
elif (self.current_page_type == page_mix_types_0 or
self.current_page_type == page_mix_types_1):
- align_correction = (bit_offset + subheader_pointers_offset +
- self.current_page_subheaders_count *
- subheader_pointer_length)
+ align_correction = (
+ bit_offset
+ + subheader_pointers_offset
+ + self.current_page_subheaders_count * subheader_pointer_length
+ )
align_correction = align_correction % 8
offset = bit_offset + align_correction
offset += subheader_pointers_offset
- offset += (self.current_page_subheaders_count *
- subheader_pointer_length)
+ offset += self.current_page_subheaders_count * subheader_pointer_length
offset += self.current_row_on_page_index * self.row_length
- self.process_byte_array_with_data(offset,
- self.row_length)
- mn = min(self.parser.row_count,
- self.parser._mix_page_row_count)
+ self.process_byte_array_with_data(offset, self.row_length)
+ mn = min(self.parser.row_count, self.parser._mix_page_row_count)
if self.current_row_on_page_index == mn:
done = self.read_next_page()
if done:
@@ -378,11 +371,12 @@ cdef class Parser:
return False
elif self.current_page_type & page_data_type == page_data_type:
self.process_byte_array_with_data(
- bit_offset + subheader_pointers_offset +
- self.current_row_on_page_index * self.row_length,
- self.row_length)
- flag = (self.current_row_on_page_index ==
- self.current_page_block_count)
+ bit_offset
+ + subheader_pointers_offset
+ + self.current_row_on_page_index * self.row_length,
+ self.row_length,
+ )
+ flag = self.current_row_on_page_index == self.current_page_block_count
if flag:
done = self.read_next_page()
if done:
diff --git a/pandas/tseries/offsets.py b/pandas/tseries/offsets.py
index d31c23c7ccf1d..2808d74e68d4e 100644
--- a/pandas/tseries/offsets.py
+++ b/pandas/tseries/offsets.py
@@ -2667,8 +2667,8 @@ def _delta_to_tick(delta: timedelta) -> Tick:
return Second(seconds)
else:
nanos = delta_to_nanoseconds(delta)
- if nanos % 1000000 == 0:
- return Milli(nanos // 1000000)
+ if nanos % 1_000_000 == 0:
+ return Milli(nanos // 1_000_000)
elif nanos % 1000 == 0:
return Micro(nanos // 1000)
else: # pragma: no cover
diff --git a/setup.py b/setup.py
index c33ce063cb4d9..6635b58cd7103 100755
--- a/setup.py
+++ b/setup.py
@@ -356,7 +356,7 @@ def run(self):
sourcefile = pyxfile[:-3] + extension
msg = (
f"{extension}-source file '{sourcefile}' not found.\n"
- f"Run 'setup.py cython' before sdist."
+ "Run 'setup.py cython' before sdist."
)
assert os.path.isfile(sourcefile), msg
sdist_class.run(self)
| - [x] passes `black pandas`
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
Some stuff that got the attention of my eye | https://api.github.com/repos/pandas-dev/pandas/pulls/31076 | 2020-01-16T15:38:57Z | 2020-01-16T18:34:43Z | 2020-01-16T18:34:43Z | 2020-01-16T18:41:33Z |
CLN/MAINT: Clean and annotate stata reader and writers | diff --git a/pandas/core/frame.py b/pandas/core/frame.py
index 012fb1d0c2eb7..dbcdcd17255b5 100644
--- a/pandas/core/frame.py
+++ b/pandas/core/frame.py
@@ -11,6 +11,7 @@
import collections
from collections import abc
+import datetime
from io import StringIO
import itertools
import sys
@@ -19,6 +20,7 @@
IO,
TYPE_CHECKING,
Any,
+ Dict,
FrozenSet,
Hashable,
Iterable,
@@ -39,7 +41,7 @@
from pandas._config import get_option
from pandas._libs import algos as libalgos, lib, properties
-from pandas._typing import Axes, Axis, Dtype, FilePathOrBuffer, Level, Renamer
+from pandas._typing import Axes, Axis, Dtype, FilePathOrBuffer, Label, Level, Renamer
from pandas.compat import PY37
from pandas.compat._optional import import_optional_dependency
from pandas.compat.numpy import function as nv
@@ -1851,16 +1853,16 @@ def _from_arrays(cls, arrays, columns, index, dtype=None) -> "DataFrame":
@deprecate_kwarg(old_arg_name="fname", new_arg_name="path")
def to_stata(
self,
- path,
- convert_dates=None,
- write_index=True,
- byteorder=None,
- time_stamp=None,
- data_label=None,
- variable_labels=None,
- version=114,
- convert_strl=None,
- ):
+ path: FilePathOrBuffer,
+ convert_dates: Optional[Dict[Label, str]] = None,
+ write_index: bool = True,
+ byteorder: Optional[str] = None,
+ time_stamp: Optional[datetime.datetime] = None,
+ data_label: Optional[str] = None,
+ variable_labels: Optional[Dict[Label, str]] = None,
+ version: Optional[int] = 114,
+ convert_strl: Optional[Sequence[Label]] = None,
+ ) -> None:
"""
Export DataFrame object to Stata dta format.
@@ -1954,11 +1956,13 @@ def to_stata(
raise ValueError("strl is not supported in format 114")
from pandas.io.stata import StataWriter as statawriter
elif version == 117:
- from pandas.io.stata import StataWriter117 as statawriter
+ # mypy: Name 'statawriter' already defined (possibly by an import)
+ from pandas.io.stata import StataWriter117 as statawriter # type: ignore
else: # versions 118 and 119
- from pandas.io.stata import StataWriterUTF8 as statawriter
+ # mypy: Name 'statawriter' already defined (possibly by an import)
+ from pandas.io.stata import StataWriterUTF8 as statawriter # type:ignore
- kwargs = {}
+ kwargs: Dict[str, Any] = {}
if version is None or version >= 117:
# strl conversion is only supported >= 117
kwargs["convert_strl"] = convert_strl
@@ -1966,7 +1970,8 @@ def to_stata(
# Specifying the version is only supported for UTF8 (118 or 119)
kwargs["version"] = version
- writer = statawriter(
+ # mypy: Too many arguments for "StataWriter"
+ writer = statawriter( # type: ignore
path,
self,
convert_dates=convert_dates,
diff --git a/pandas/io/common.py b/pandas/io/common.py
index cf19169214c35..00f2961e41617 100644
--- a/pandas/io/common.py
+++ b/pandas/io/common.py
@@ -160,10 +160,9 @@ def get_filepath_or_buffer(
Returns
-------
- tuple of ({a filepath_ or buffer or S3File instance},
- encoding, str,
- compression, str,
- should_close, bool)
+ Tuple[FilePathOrBuffer, str, str, bool]
+ Tuple containing the filepath or buffer, the encoding, the compression
+ and should_close.
"""
filepath_or_buffer = stringify_path(filepath_or_buffer)
diff --git a/pandas/io/stata.py b/pandas/io/stata.py
index ec200a1ad8409..06bf906be7093 100644
--- a/pandas/io/stata.py
+++ b/pandas/io/stata.py
@@ -11,11 +11,12 @@
"""
from collections import abc
import datetime
-from io import BytesIO
+from io import BytesIO, IOBase
import os
+from pathlib import Path
import struct
import sys
-from typing import Any, Dict, Hashable, Optional, Sequence
+from typing import Any, AnyStr, BinaryIO, Dict, List, Optional, Sequence, Tuple, Union
import warnings
from dateutil.relativedelta import relativedelta
@@ -23,7 +24,7 @@
from pandas._libs.lib import infer_dtype
from pandas._libs.writers import max_len_string_array
-from pandas._typing import FilePathOrBuffer
+from pandas._typing import FilePathOrBuffer, Label
from pandas.util._decorators import Appender
from pandas.core.dtypes.common import (
@@ -43,6 +44,7 @@
to_timedelta,
)
from pandas.core.frame import DataFrame
+from pandas.core.indexes.base import Index
from pandas.core.series import Series
from pandas.io.common import get_filepath_or_buffer, stringify_path
@@ -160,49 +162,16 @@
"""
-@Appender(_read_stata_doc)
-def read_stata(
- filepath_or_buffer,
- convert_dates=True,
- convert_categoricals=True,
- index_col=None,
- convert_missing=False,
- preserve_dtypes=True,
- columns=None,
- order_categoricals=True,
- chunksize=None,
- iterator=False,
-):
-
- reader = StataReader(
- filepath_or_buffer,
- convert_dates=convert_dates,
- convert_categoricals=convert_categoricals,
- index_col=index_col,
- convert_missing=convert_missing,
- preserve_dtypes=preserve_dtypes,
- columns=columns,
- order_categoricals=order_categoricals,
- chunksize=chunksize,
- )
-
- if iterator or chunksize:
- data = reader
- else:
- try:
- data = reader.read()
- finally:
- reader.close()
- return data
-
-
_date_formats = ["%tc", "%tC", "%td", "%d", "%tw", "%tm", "%tq", "%th", "%ty"]
stata_epoch = datetime.datetime(1960, 1, 1)
-def _stata_elapsed_date_to_datetime_vec(dates, fmt):
+# TODO: Add typing. As of January 2020 it is not possible to type this function since
+# mypy doesn't understand that a Series and an int can be combined using mathematical
+# operations. (+, -).
+def _stata_elapsed_date_to_datetime_vec(dates, fmt) -> Series:
"""
Convert from SIF to datetime. https://www.stata.com/help.cgi?datetime
@@ -247,9 +216,6 @@ def _stata_elapsed_date_to_datetime_vec(dates, fmt):
half-years since 1960h1 yearly
date - ty
years since 0000
-
- If you don't have pandas with datetime support, then you can't do
- milliseconds accurately.
"""
MIN_YEAR, MAX_YEAR = Timestamp.min.year, Timestamp.max.year
MAX_DAY_DELTA = (Timestamp.max - datetime.datetime(1960, 1, 1)).days
@@ -257,7 +223,7 @@ def _stata_elapsed_date_to_datetime_vec(dates, fmt):
MIN_MS_DELTA = MIN_DAY_DELTA * 24 * 3600 * 1000
MAX_MS_DELTA = MAX_DAY_DELTA * 24 * 3600 * 1000
- def convert_year_month_safe(year, month):
+ def convert_year_month_safe(year, month) -> Series:
"""
Convert year and month to datetimes, using pandas vectorized versions
when the date range falls within the range supported by pandas.
@@ -272,7 +238,7 @@ def convert_year_month_safe(year, month):
[datetime.datetime(y, m, 1) for y, m in zip(year, month)], index=index
)
- def convert_year_days_safe(year, days):
+ def convert_year_days_safe(year, days) -> Series:
"""
Converts year (e.g. 1999) and days since the start of the year to a
datetime or datetime64 Series
@@ -287,7 +253,7 @@ def convert_year_days_safe(year, days):
]
return Series(value, index=index)
- def convert_delta_safe(base, deltas, unit):
+ def convert_delta_safe(base, deltas, unit) -> Series:
"""
Convert base dates and deltas to datetimes, using pandas vectorized
versions if the deltas satisfy restrictions required to be expressed
@@ -348,16 +314,16 @@ def convert_delta_safe(base, deltas, unit):
conv_dates = convert_year_month_safe(year, month)
elif fmt.startswith(("%tq", "tq")): # Delta quarters relative to base
year = stata_epoch.year + dates // 4
- month = (dates % 4) * 3 + 1
- conv_dates = convert_year_month_safe(year, month)
+ quarter_month = (dates % 4) * 3 + 1
+ conv_dates = convert_year_month_safe(year, quarter_month)
elif fmt.startswith(("%th", "th")): # Delta half-years relative to base
year = stata_epoch.year + dates // 2
month = (dates % 2) * 6 + 1
conv_dates = convert_year_month_safe(year, month)
elif fmt.startswith(("%ty", "ty")): # Years -- not delta
year = dates
- month = np.ones_like(dates)
- conv_dates = convert_year_month_safe(year, month)
+ first_month = np.ones_like(dates)
+ conv_dates = convert_year_month_safe(year, first_month)
else:
raise ValueError(f"Date fmt {fmt} not understood")
@@ -367,7 +333,7 @@ def convert_delta_safe(base, deltas, unit):
return conv_dates
-def _datetime_to_stata_elapsed_vec(dates, fmt):
+def _datetime_to_stata_elapsed_vec(dates: Series, fmt: str) -> Series:
"""
Convert from datetime to SIF. https://www.stata.com/help.cgi?datetime
@@ -387,21 +353,26 @@ def parse_dates_safe(dates, delta=False, year=False, days=False):
d = {}
if is_datetime64_dtype(dates.values):
if delta:
- delta = dates - stata_epoch
- d["delta"] = delta.values.astype(np.int64) // 1000 # microseconds
+ time_delta = dates - stata_epoch
+ d["delta"] = time_delta.values.astype(np.int64) // 1000 # microseconds
if days or year:
- dates = DatetimeIndex(dates)
- d["year"], d["month"] = dates.year, dates.month
+ # ignore since mypy reports that DatetimeIndex has no year/month
+ date_index = DatetimeIndex(dates)
+ d["year"] = date_index.year # type: ignore
+ d["month"] = date_index.month # type: ignore
if days:
- days = dates.astype(np.int64) - to_datetime(
+ days_in_ns = dates.astype(np.int64) - to_datetime(
d["year"], format="%Y"
).astype(np.int64)
- d["days"] = days // NS_PER_DAY
+ d["days"] = days_in_ns // NS_PER_DAY
elif infer_dtype(dates, skipna=False) == "datetime":
if delta:
delta = dates.values - stata_epoch
- f = lambda x: US_PER_DAY * x.days + 1000000 * x.seconds + x.microseconds
+
+ def f(x: datetime.timedelta) -> float:
+ return US_PER_DAY * x.days + 1000000 * x.seconds + x.microseconds
+
v = np.vectorize(f)
d["delta"] = v(delta)
if year:
@@ -409,8 +380,11 @@ def parse_dates_safe(dates, delta=False, year=False, days=False):
d["year"] = year_month.values // 100
d["month"] = year_month.values - d["year"] * 100
if days:
- f = lambda x: (x - datetime.datetime(x.year, 1, 1)).days
- v = np.vectorize(f)
+
+ def g(x: datetime.datetime) -> int:
+ return (x - datetime.datetime(x.year, 1, 1)).days
+
+ v = np.vectorize(g)
d["days"] = v(dates)
else:
raise ValueError(
@@ -507,7 +481,7 @@ class InvalidColumnName(Warning):
"""
-def _cast_to_stata_types(data):
+def _cast_to_stata_types(data: DataFrame) -> DataFrame:
"""Checks the dtypes of the columns of a pandas DataFrame for
compatibility with the data types and ranges supported by Stata, and
converts if necessary.
@@ -601,13 +575,13 @@ class StataValueLabel:
Parameters
----------
- catarray : Categorical
+ catarray : Series
Categorical Series to encode
encoding : {"latin-1", "utf-8"}
Encoding to use for value labels.
"""
- def __init__(self, catarray, encoding="latin-1"):
+ def __init__(self, catarray: Series, encoding: str = "latin-1"):
if encoding not in ("latin-1", "utf-8"):
raise ValueError("Only latin-1 and utf-8 are supported.")
@@ -616,10 +590,10 @@ def __init__(self, catarray, encoding="latin-1"):
categories = catarray.cat.categories
self.value_labels = list(zip(np.arange(len(categories)), categories))
self.value_labels.sort(key=lambda x: x[0])
- self.text_len = np.int32(0)
- self.off = []
- self.val = []
- self.txt = []
+ self.text_len = 0
+ self.off: List[int] = []
+ self.val: List[int] = []
+ self.txt: List[bytes] = []
self.n = 0
# Compute lengths and setup lists of offsets and labels
@@ -651,13 +625,7 @@ def __init__(self, catarray, encoding="latin-1"):
# Total length
self.len = 4 + 4 + 4 * self.n + 4 * self.n + self.text_len
- def _encode(self, s):
- """
- Python 3 compatibility shim
- """
- return s.encode(self._encoding)
-
- def generate_value_label(self, byteorder):
+ def generate_value_label(self, byteorder: str) -> bytes:
"""
Generate the binary representation of the value labals.
@@ -679,7 +647,7 @@ def generate_value_label(self, byteorder):
bio.write(struct.pack(byteorder + "i", self.len))
# labname
- labname = self.labname[:32].encode(encoding)
+ labname = str(self.labname)[:32].encode(encoding)
lab_len = 32 if encoding not in ("utf-8", "utf8") else 128
labname = _pad_bytes(labname, lab_len + 1)
bio.write(labname)
@@ -717,16 +685,9 @@ class StataMissingValue:
Parameters
----------
- value : int8, int16, int32, float32 or float64
+ value : {int, float}
The Stata missing value code
- Attributes
- ----------
- string : string
- String representation of the Stata missing value
- value : int8, int16, int32, float32 or float64
- The original encoded missing value
-
Notes
-----
More information: <https://www.stata.com/help.cgi?missing>
@@ -756,7 +717,7 @@ class StataMissingValue:
"""
# Construct a dictionary of missing values
- MISSING_VALUES = {}
+ MISSING_VALUES: Dict[float, str] = {}
bases = (101, 32741, 2147483621)
for b in bases:
# Conversion to long to avoid hash issues on 32 bit platforms #8968
@@ -767,21 +728,21 @@ class StataMissingValue:
float32_base = b"\x00\x00\x00\x7f"
increment = struct.unpack("<i", b"\x00\x08\x00\x00")[0]
for i in range(27):
- value = struct.unpack("<f", float32_base)[0]
- MISSING_VALUES[value] = "."
+ key = struct.unpack("<f", float32_base)[0]
+ MISSING_VALUES[key] = "."
if i > 0:
- MISSING_VALUES[value] += chr(96 + i)
- int_value = struct.unpack("<i", struct.pack("<f", value))[0] + increment
+ MISSING_VALUES[key] += chr(96 + i)
+ int_value = struct.unpack("<i", struct.pack("<f", key))[0] + increment
float32_base = struct.pack("<i", int_value)
float64_base = b"\x00\x00\x00\x00\x00\x00\xe0\x7f"
increment = struct.unpack("q", b"\x00\x00\x00\x00\x00\x01\x00\x00")[0]
for i in range(27):
- value = struct.unpack("<d", float64_base)[0]
- MISSING_VALUES[value] = "."
+ key = struct.unpack("<d", float64_base)[0]
+ MISSING_VALUES[key] = "."
if i > 0:
- MISSING_VALUES[value] += chr(96 + i)
- int_value = struct.unpack("q", struct.pack("<d", value))[0] + increment
+ MISSING_VALUES[key] += chr(96 + i)
+ int_value = struct.unpack("q", struct.pack("<d", key))[0] + increment
float64_base = struct.pack("q", int_value)
BASE_MISSING_VALUES = {
@@ -792,19 +753,35 @@ class StataMissingValue:
"float64": struct.unpack("<d", float64_base)[0],
}
- def __init__(self, value):
+ def __init__(self, value: Union[int, float]):
self._value = value
# Conversion to int to avoid hash issues on 32 bit platforms #8968
value = int(value) if value < 2147483648 else float(value)
self._str = self.MISSING_VALUES[value]
- string = property(
- lambda self: self._str,
- doc="The Stata representation of the missing value: '.', '.a'..'.z'",
- )
- value = property(
- lambda self: self._value, doc="The binary representation of the missing value."
- )
+ @property
+ def string(self) -> str:
+ """
+ The Stata representation of the missing value: '.', '.a'..'.z'
+
+ Returns
+ -------
+ str
+ The representation of the missing value.
+ """
+ return self._str
+
+ @property
+ def value(self) -> Union[int, float]:
+ """
+ The binary representation of the missing value.
+
+ Returns
+ -------
+ {int, float}
+ The binary representation of the missing value.
+ """
+ return self._value
def __str__(self) -> str:
return self.string
@@ -820,7 +797,7 @@ def __eq__(self, other: Any) -> bool:
)
@classmethod
- def get_base_missing_value(cls, dtype):
+ def get_base_missing_value(cls, dtype: np.dtype) -> Union[int, float]:
if dtype == np.int8:
value = cls.BASE_MISSING_VALUES["int8"]
elif dtype == np.int16:
@@ -1005,18 +982,18 @@ class StataReader(StataParser, abc.Iterator):
def __init__(
self,
- path_or_buf,
- convert_dates=True,
- convert_categoricals=True,
- index_col=None,
- convert_missing=False,
- preserve_dtypes=True,
- columns=None,
- order_categoricals=True,
- chunksize=None,
+ path_or_buf: FilePathOrBuffer,
+ convert_dates: bool = True,
+ convert_categoricals: bool = True,
+ index_col: Optional[str] = None,
+ convert_missing: bool = False,
+ preserve_dtypes: bool = True,
+ columns: Optional[Sequence[str]] = None,
+ order_categoricals: bool = True,
+ chunksize: Optional[int] = None,
):
super().__init__()
- self.col_sizes = ()
+ self.col_sizes: List[int] = []
# Arguments to the reader (can be temporarily overridden in
# calls to read).
@@ -1027,7 +1004,7 @@ def __init__(
self._preserve_dtypes = preserve_dtypes
self._columns = columns
self._order_categoricals = order_categoricals
- self._encoding = None
+ self._encoding = ""
self._chunksize = chunksize
# State variables for the file
@@ -1047,7 +1024,7 @@ def __init__(
if isinstance(path_or_buf, (str, bytes)):
self.path_or_buf = open(path_or_buf, "rb")
- else:
+ elif isinstance(path_or_buf, IOBase):
# Copy to BytesIO, and ensure no encoding
contents = path_or_buf.read()
self.path_or_buf = BytesIO(contents)
@@ -1055,22 +1032,22 @@ def __init__(
self._read_header()
self._setup_dtype()
- def __enter__(self):
+ def __enter__(self) -> "StataReader":
""" enter context manager """
return self
- def __exit__(self, exc_type, exc_value, traceback):
+ def __exit__(self, exc_type, exc_value, traceback) -> None:
""" exit context manager """
self.close()
- def close(self):
+ def close(self) -> None:
""" close the handle if its open """
try:
self.path_or_buf.close()
except IOError:
pass
- def _set_encoding(self):
+ def _set_encoding(self) -> None:
"""
Set string encoding which depends on file version
"""
@@ -1079,10 +1056,10 @@ def _set_encoding(self):
else:
self._encoding = "utf-8"
- def _read_header(self):
+ def _read_header(self) -> None:
first_char = self.path_or_buf.read(1)
if struct.unpack("c", first_char)[0] == b"<":
- self._read_new_header(first_char)
+ self._read_new_header()
else:
self._read_old_header(first_char)
@@ -1091,7 +1068,7 @@ def _read_header(self):
# calculate size of a data record
self.col_sizes = [self._calcsize(typ) for typ in self.typlist]
- def _read_new_header(self, first_char):
+ def _read_new_header(self) -> None:
# The first part of the header is common to 117 - 119.
self.path_or_buf.read(27) # stata_dta><header><release>
self.format_version = int(self.path_or_buf.read(3))
@@ -1168,15 +1145,17 @@ def _read_new_header(self, first_char):
self._variable_labels = self._get_variable_labels()
# Get data type information, works for versions 117-119.
- def _get_dtypes(self, seek_vartypes):
+ def _get_dtypes(
+ self, seek_vartypes: int
+ ) -> Tuple[List[Union[int, str]], List[Union[int, np.dtype]]]:
self.path_or_buf.seek(seek_vartypes)
raw_typlist = [
struct.unpack(self.byteorder + "H", self.path_or_buf.read(2))[0]
- for i in range(self.nvar)
+ for _ in range(self.nvar)
]
- def f(typ):
+ def f(typ: int) -> Union[int, str]:
if typ <= 2045:
return typ
try:
@@ -1186,7 +1165,7 @@ def f(typ):
typlist = [f(x) for x in raw_typlist]
- def f(typ):
+ def g(typ: int) -> Union[str, np.dtype]:
if typ <= 2045:
return str(typ)
try:
@@ -1194,20 +1173,17 @@ def f(typ):
except KeyError:
raise ValueError(f"cannot convert stata dtype [{typ}]")
- dtyplist = [f(x) for x in raw_typlist]
+ dtyplist = [g(x) for x in raw_typlist]
return typlist, dtyplist
- def _get_varlist(self):
- if self.format_version == 117:
- b = 33
- elif self.format_version >= 118:
- b = 129
-
- return [self._decode(self.path_or_buf.read(b)) for i in range(self.nvar)]
+ def _get_varlist(self) -> List[str]:
+ # 33 in order formats, 129 in formats 118 and 119
+ b = 33 if self.format_version < 118 else 129
+ return [self._decode(self.path_or_buf.read(b)) for _ in range(self.nvar)]
# Returns the format list
- def _get_fmtlist(self):
+ def _get_fmtlist(self) -> List[str]:
if self.format_version >= 118:
b = 57
elif self.format_version > 113:
@@ -1217,40 +1193,40 @@ def _get_fmtlist(self):
else:
b = 7
- return [self._decode(self.path_or_buf.read(b)) for i in range(self.nvar)]
+ return [self._decode(self.path_or_buf.read(b)) for _ in range(self.nvar)]
# Returns the label list
- def _get_lbllist(self):
+ def _get_lbllist(self) -> List[str]:
if self.format_version >= 118:
b = 129
elif self.format_version > 108:
b = 33
else:
b = 9
- return [self._decode(self.path_or_buf.read(b)) for i in range(self.nvar)]
+ return [self._decode(self.path_or_buf.read(b)) for _ in range(self.nvar)]
- def _get_variable_labels(self):
+ def _get_variable_labels(self) -> List[str]:
if self.format_version >= 118:
vlblist = [
- self._decode(self.path_or_buf.read(321)) for i in range(self.nvar)
+ self._decode(self.path_or_buf.read(321)) for _ in range(self.nvar)
]
elif self.format_version > 105:
vlblist = [
- self._decode(self.path_or_buf.read(81)) for i in range(self.nvar)
+ self._decode(self.path_or_buf.read(81)) for _ in range(self.nvar)
]
else:
vlblist = [
- self._decode(self.path_or_buf.read(32)) for i in range(self.nvar)
+ self._decode(self.path_or_buf.read(32)) for _ in range(self.nvar)
]
return vlblist
- def _get_nobs(self):
+ def _get_nobs(self) -> int:
if self.format_version >= 118:
return struct.unpack(self.byteorder + "Q", self.path_or_buf.read(8))[0]
else:
return struct.unpack(self.byteorder + "I", self.path_or_buf.read(4))[0]
- def _get_data_label(self):
+ def _get_data_label(self) -> str:
if self.format_version >= 118:
strlen = struct.unpack(self.byteorder + "H", self.path_or_buf.read(2))[0]
return self._decode(self.path_or_buf.read(strlen))
@@ -1262,7 +1238,7 @@ def _get_data_label(self):
else:
return self._decode(self.path_or_buf.read(32))
- def _get_time_stamp(self):
+ def _get_time_stamp(self) -> str:
if self.format_version >= 118:
strlen = struct.unpack("b", self.path_or_buf.read(1))[0]
return self.path_or_buf.read(strlen).decode("utf-8")
@@ -1274,9 +1250,9 @@ def _get_time_stamp(self):
else:
raise ValueError()
- def _get_seek_variable_labels(self):
+ def _get_seek_variable_labels(self) -> int:
if self.format_version == 117:
- self.path_or_buf.read(8) # <variable_lables>, throw away
+ self.path_or_buf.read(8) # <variable_labels>, throw away
# Stata 117 data files do not follow the described format. This is
# a work around that uses the previous label, 33 bytes for each
# variable, 20 for the closing tag and 17 for the opening tag
@@ -1286,7 +1262,7 @@ def _get_seek_variable_labels(self):
else:
raise ValueError()
- def _read_old_header(self, first_char):
+ def _read_old_header(self, first_char: bytes) -> None:
self.format_version = struct.unpack("b", first_char)[0]
if self.format_version not in [104, 105, 108, 111, 113, 114, 115]:
raise ValueError(_version_error.format(version=self.format_version))
@@ -1306,7 +1282,7 @@ def _read_old_header(self, first_char):
# descriptors
if self.format_version > 108:
- typlist = [ord(self.path_or_buf.read(1)) for i in range(self.nvar)]
+ typlist = [ord(self.path_or_buf.read(1)) for _ in range(self.nvar)]
else:
buf = self.path_or_buf.read(self.nvar)
typlistb = np.frombuffer(buf, dtype=np.uint8)
@@ -1330,11 +1306,11 @@ def _read_old_header(self, first_char):
if self.format_version > 108:
self.varlist = [
- self._decode(self.path_or_buf.read(33)) for i in range(self.nvar)
+ self._decode(self.path_or_buf.read(33)) for _ in range(self.nvar)
]
else:
self.varlist = [
- self._decode(self.path_or_buf.read(9)) for i in range(self.nvar)
+ self._decode(self.path_or_buf.read(9)) for _ in range(self.nvar)
]
self.srtlist = struct.unpack(
self.byteorder + ("h" * (self.nvar + 1)),
@@ -1372,26 +1348,27 @@ def _read_old_header(self, first_char):
# necessary data to continue parsing
self.data_location = self.path_or_buf.tell()
- def _setup_dtype(self):
+ def _setup_dtype(self) -> np.dtype:
"""Map between numpy and state dtypes"""
if self._dtype is not None:
return self._dtype
- dtype = [] # Convert struct data types to numpy data type
+ dtypes = [] # Convert struct data types to numpy data type
for i, typ in enumerate(self.typlist):
if typ in self.NUMPY_TYPE_MAP:
- dtype.append(("s" + str(i), self.byteorder + self.NUMPY_TYPE_MAP[typ]))
+ dtypes.append(("s" + str(i), self.byteorder + self.NUMPY_TYPE_MAP[typ]))
else:
- dtype.append(("s" + str(i), "S" + str(typ)))
- dtype = np.dtype(dtype)
- self._dtype = dtype
+ dtypes.append(("s" + str(i), "S" + str(typ)))
+ self._dtype = np.dtype(dtypes)
return self._dtype
- def _calcsize(self, fmt):
- return type(fmt) is int and fmt or struct.calcsize(self.byteorder + fmt)
+ def _calcsize(self, fmt: Union[int, str]) -> int:
+ if isinstance(fmt, int):
+ return fmt
+ return struct.calcsize(self.byteorder + fmt)
- def _decode(self, s):
+ def _decode(self, s: bytes) -> str:
# have bytes not strings, so must decode
s = s.partition(b"\0")[0]
try:
@@ -1408,24 +1385,25 @@ def _decode(self, s):
warnings.warn(msg, UnicodeWarning)
return s.decode("latin-1")
- def _read_value_labels(self):
+ def _read_value_labels(self) -> None:
if self._value_labels_read:
# Don't read twice
return
if self.format_version <= 108:
# Value labels are not supported in version 108 and earlier.
self._value_labels_read = True
- self.value_label_dict = dict()
+ self.value_label_dict: Dict[str, Dict[Union[float, int], str]] = {}
return
if self.format_version >= 117:
self.path_or_buf.seek(self.seek_value_labels)
else:
+ assert self._dtype is not None
offset = self.nobs * self._dtype.itemsize
self.path_or_buf.seek(self.data_location + offset)
self._value_labels_read = True
- self.value_label_dict = dict()
+ self.value_label_dict = {}
while True:
if self.format_version >= 117:
@@ -1461,7 +1439,7 @@ def _read_value_labels(self):
self.path_or_buf.read(6) # </lbl>
self._value_labels_read = True
- def _read_strls(self):
+ def _read_strls(self) -> None:
self.path_or_buf.seek(self.seek_strls)
# Wrap v_o in a string to allow uint64 values as keys on 32bit OS
self.GSO = {"0": ""}
@@ -1476,23 +1454,26 @@ def _read_strls(self):
# Only tested on little endian file on little endian machine.
v_size = 2 if self.format_version == 118 else 3
if self.byteorder == "<":
- buf = buf[0:v_size] + buf[4 : 12 - v_size]
+ buf = buf[0:v_size] + buf[4 : (12 - v_size)]
else:
# This path may not be correct, impossible to test
- buf = buf[0:v_size] + buf[4 + v_size :]
+ buf = buf[0:v_size] + buf[(4 + v_size) :]
v_o = struct.unpack("Q", buf)[0]
typ = struct.unpack("B", self.path_or_buf.read(1))[0]
length = struct.unpack(self.byteorder + "I", self.path_or_buf.read(4))[0]
va = self.path_or_buf.read(length)
if typ == 130:
- va = va[0:-1].decode(self._encoding)
- # Wrap v_o in a string to allow uint64 values as keys on 32bit OS
- self.GSO[str(v_o)] = va
+ decoded_va = va[0:-1].decode(self._encoding)
+ else:
+ # Stata says typ 129 can be binary, so use str
+ decoded_va = str(va)
+ # Wrap v_o in a string to allow uint64 values as keys on 32bit OS
+ self.GSO[str(v_o)] = decoded_va
- def __next__(self):
+ def __next__(self) -> DataFrame:
return self.read(nrows=self._chunksize or 1)
- def get_chunk(self, size=None):
+ def get_chunk(self, size: Optional[int] = None) -> DataFrame:
"""
Reads lines from Stata file and returns as dataframe
@@ -1512,15 +1493,15 @@ def get_chunk(self, size=None):
@Appender(_read_method_doc)
def read(
self,
- nrows=None,
- convert_dates=None,
- convert_categoricals=None,
- index_col=None,
- convert_missing=None,
- preserve_dtypes=None,
- columns=None,
- order_categoricals=None,
- ):
+ nrows: Optional[int] = None,
+ convert_dates: Optional[bool] = None,
+ convert_categoricals: Optional[bool] = None,
+ index_col: Optional[str] = None,
+ convert_missing: Optional[bool] = None,
+ preserve_dtypes: Optional[bool] = None,
+ columns: Optional[Sequence[str]] = None,
+ order_categoricals: Optional[bool] = None,
+ ) -> DataFrame:
# Handle empty file or chunk. If reading incrementally raise
# StopIteration. If reading the whole thing return an empty
# data frame.
@@ -1554,6 +1535,7 @@ def read(
self._read_strls()
# Read data
+ assert self._dtype is not None
dtype = self._dtype
max_read_len = (self.nobs - self._lines_read) * dtype.itemsize
read_len = nrows * dtype.itemsize
@@ -1673,7 +1655,7 @@ def any_startswith(x: str) -> bool:
return data
- def _do_convert_missing(self, data, convert_missing):
+ def _do_convert_missing(self, data: DataFrame, convert_missing: bool) -> DataFrame:
# Check for missing values, and replace if found
replacements = {}
for i, colname in enumerate(data):
@@ -1689,7 +1671,6 @@ def _do_convert_missing(self, data, convert_missing):
continue
if convert_missing: # Replacement follows Stata notation
-
missing_loc = np.argwhere(missing._ndarray_values)
umissing, umissing_loc = np.unique(series[missing], return_inverse=True)
replacement = Series(series, dtype=np.object)
@@ -1707,12 +1688,12 @@ def _do_convert_missing(self, data, convert_missing):
replacements[colname] = replacement
if replacements:
columns = data.columns
- replacements = DataFrame(replacements)
- data = concat([data.drop(replacements.columns, 1), replacements], 1)
- data = data[columns]
+ replacement_df = DataFrame(replacements)
+ replaced = concat([data.drop(replacement_df.columns, 1), replacement_df], 1)
+ data = replaced[columns]
return data
- def _insert_strls(self, data):
+ def _insert_strls(self, data: DataFrame) -> DataFrame:
if not hasattr(self, "GSO") or len(self.GSO) == 0:
return data
for i, typ in enumerate(self.typlist):
@@ -1722,7 +1703,7 @@ def _insert_strls(self, data):
data.iloc[:, i] = [self.GSO[str(k)] for k in data.iloc[:, i]]
return data
- def _do_select_columns(self, data, columns):
+ def _do_select_columns(self, data: DataFrame, columns: Sequence[str]) -> DataFrame:
if not self._column_selector_set:
column_set = set(columns)
@@ -1755,9 +1736,13 @@ def _do_select_columns(self, data, columns):
return data[columns]
+ @staticmethod
def _do_convert_categoricals(
- self, data, value_label_dict, lbllist, order_categoricals
- ):
+ data: DataFrame,
+ value_label_dict: Dict[str, Dict[Union[float, int], str]],
+ lbllist: Sequence[str],
+ order_categoricals: bool,
+ ) -> DataFrame:
"""
Converts categorical columns to Categorical type.
"""
@@ -1777,8 +1762,8 @@ def _do_convert_categoricals(
cat_data.categories = categories
except ValueError:
vc = Series(categories).value_counts()
- repeats = list(vc.index[vc > 1])
- repeats = "-" * 80 + "\n" + "\n".join(repeats)
+ repeated_cats = list(vc.index[vc > 1])
+ repeats = "-" * 80 + "\n" + "\n".join(repeated_cats)
# GH 25772
msg = f"""
Value labels for column {col} are not unique. These cannot be converted to
@@ -1793,21 +1778,21 @@ def _do_convert_categoricals(
"""
raise ValueError(msg)
# TODO: is the next line needed above in the data(...) method?
- cat_data = Series(cat_data, index=data.index)
- cat_converted_data.append((col, cat_data))
+ cat_series = Series(cat_data, index=data.index)
+ cat_converted_data.append((col, cat_series))
else:
cat_converted_data.append((col, data[col]))
data = DataFrame.from_dict(dict(cat_converted_data))
return data
@property
- def data_label(self):
+ def data_label(self) -> str:
"""
Return data label of Stata file.
"""
return self._data_label
- def variable_labels(self):
+ def variable_labels(self) -> Dict[str, str]:
"""
Return variable labels as a dict, associating each variable name
with corresponding label.
@@ -1818,7 +1803,7 @@ def variable_labels(self):
"""
return dict(zip(self.varlist, self._variable_labels))
- def value_labels(self):
+ def value_labels(self) -> Dict[str, Dict[Union[float, int], str]]:
"""
Return a dict, associating each variable name a dict, associating
each value its corresponding label.
@@ -1833,7 +1818,43 @@ def value_labels(self):
return self.value_label_dict
-def _open_file_binary_write(fname):
+@Appender(_read_stata_doc)
+def read_stata(
+ filepath_or_buffer: FilePathOrBuffer,
+ convert_dates: bool = True,
+ convert_categoricals: bool = True,
+ index_col: Optional[str] = None,
+ convert_missing: bool = False,
+ preserve_dtypes: bool = True,
+ columns: Optional[Sequence[str]] = None,
+ order_categoricals: bool = True,
+ chunksize: Optional[int] = None,
+ iterator: bool = False,
+) -> Union[DataFrame, StataReader]:
+
+ reader = StataReader(
+ filepath_or_buffer,
+ convert_dates=convert_dates,
+ convert_categoricals=convert_categoricals,
+ index_col=index_col,
+ convert_missing=convert_missing,
+ preserve_dtypes=preserve_dtypes,
+ columns=columns,
+ order_categoricals=order_categoricals,
+ chunksize=chunksize,
+ )
+
+ if iterator or chunksize:
+ return reader
+
+ try:
+ data = reader.read()
+ finally:
+ reader.close()
+ return data
+
+
+def _open_file_binary_write(fname: FilePathOrBuffer) -> Tuple[BinaryIO, bool]:
"""
Open a binary file or no-op if file-like.
@@ -1849,12 +1870,15 @@ def _open_file_binary_write(fname):
True if the file was created, otherwise False
"""
if hasattr(fname, "write"):
- # if 'b' not in fname.mode:
- return fname, False
- return open(fname, "wb"), True
+ # See https://github.com/python/mypy/issues/1424 for hasattr challenges
+ return fname, False # type: ignore
+ elif isinstance(fname, (str, Path)):
+ return open(fname, "wb"), True
+ else:
+ raise TypeError("fname must be a binary file, buffer or path-like.")
-def _set_endianness(endianness):
+def _set_endianness(endianness: str) -> str:
if endianness.lower() in ["<", "little"]:
return "<"
elif endianness.lower() in [">", "big"]:
@@ -1863,7 +1887,7 @@ def _set_endianness(endianness):
raise ValueError(f"Endianness {endianness} not understood")
-def _pad_bytes(name, length):
+def _pad_bytes(name: AnyStr, length: int) -> AnyStr:
"""
Take a char string and pads it with null bytes until it's length chars.
"""
@@ -1872,7 +1896,7 @@ def _pad_bytes(name, length):
return name + "\x00" * (length - len(name))
-def _convert_datetime_to_stata_type(fmt):
+def _convert_datetime_to_stata_type(fmt: str) -> np.dtype:
"""
Convert from one of the stata date formats to a type in TYPE_MAP.
"""
@@ -1897,7 +1921,7 @@ def _convert_datetime_to_stata_type(fmt):
raise NotImplementedError(f"Format {fmt} not implemented")
-def _maybe_convert_to_int_keys(convert_dates, varlist):
+def _maybe_convert_to_int_keys(convert_dates: Dict, varlist: List[Label]) -> Dict:
new_dict = {}
for key in convert_dates:
if not convert_dates[key].startswith("%"): # make sure proper fmts
@@ -1911,7 +1935,7 @@ def _maybe_convert_to_int_keys(convert_dates, varlist):
return new_dict
-def _dtype_to_stata_type(dtype, column):
+def _dtype_to_stata_type(dtype: np.dtype, column: Series) -> int:
"""
Convert dtype types to stata types. Returns the byte of the given ordinal.
See TYPE_MAP and comments for an explanation. This is also explained in
@@ -1947,7 +1971,9 @@ def _dtype_to_stata_type(dtype, column):
raise NotImplementedError(f"Data type {dtype} not supported.")
-def _dtype_to_default_stata_fmt(dtype, column, dta_version=114, force_strl=False):
+def _dtype_to_default_stata_fmt(
+ dtype, column: Series, dta_version: int = 114, force_strl: bool = False
+) -> str:
"""
Map numpy dtype to stata's default format for this type. Not terribly
important since users can change this in Stata. Semantics are
@@ -2060,14 +2086,14 @@ class StataWriter(StataParser):
def __init__(
self,
- fname,
- data,
- convert_dates=None,
- write_index=True,
- byteorder=None,
- time_stamp=None,
- data_label=None,
- variable_labels=None,
+ fname: FilePathOrBuffer,
+ data: DataFrame,
+ convert_dates: Optional[Dict[Label, str]] = None,
+ write_index: bool = True,
+ byteorder: Optional[str] = None,
+ time_stamp: Optional[datetime.datetime] = None,
+ data_label: Optional[str] = None,
+ variable_labels: Optional[Dict[Label, str]] = None,
):
super().__init__()
self._convert_dates = {} if convert_dates is None else convert_dates
@@ -2084,21 +2110,30 @@ def __init__(
self._byteorder = _set_endianness(byteorder)
self._fname = stringify_path(fname)
self.type_converters = {253: np.int32, 252: np.int16, 251: np.int8}
- self._converted_names = {}
+ self._converted_names: Dict[Label, str] = {}
+ self._file: Optional[BinaryIO] = None
- def _write(self, to_write):
+ def _write(self, to_write: str) -> None:
"""
Helper to call encode before writing to file for Python 3 compat.
"""
- self._file.write(to_write.encode(self._encoding or self._default_encoding))
+ assert self._file is not None
+ self._file.write(to_write.encode(self._encoding))
+
+ def _write_bytes(self, value: bytes) -> None:
+ """
+ Helper to assert file is open before writing.
+ """
+ assert self._file is not None
+ self._file.write(value)
- def _prepare_categoricals(self, data):
+ def _prepare_categoricals(self, data: DataFrame) -> DataFrame:
"""Check for categorical columns, retain categorical information for
Stata file and convert categorical data to int"""
is_cat = [is_categorical_dtype(data[col]) for col in data]
self._is_col_cat = is_cat
- self._value_labels = []
+ self._value_labels: List[StataValueLabel] = []
if not any(is_cat):
return data
@@ -2133,7 +2168,7 @@ def _prepare_categoricals(self, data):
data_formatted.append((col, data[col]))
return DataFrame.from_dict(dict(data_formatted))
- def _replace_nans(self, data):
+ def _replace_nans(self, data: DataFrame) -> DataFrame:
# return data
"""Checks floating point data columns for nans, and replaces these with
the generic Stata for missing value (.)"""
@@ -2148,11 +2183,11 @@ def _replace_nans(self, data):
return data
- def _update_strl_names(self):
+ def _update_strl_names(self) -> None:
"""No-op, forward compatibility"""
pass
- def _validate_variable_name(self, name):
+ def _validate_variable_name(self, name: str) -> str:
"""
Validate variable names for Stata export.
@@ -2182,7 +2217,7 @@ def _validate_variable_name(self, name):
name = name.replace(c, "_")
return name
- def _check_column_names(self, data):
+ def _check_column_names(self, data: DataFrame) -> DataFrame:
"""
Checks column names to ensure that they are valid Stata column names.
This includes checks for:
@@ -2195,8 +2230,8 @@ def _check_column_names(self, data):
dates are exported, the variable name is propagated to the date
conversion dictionary
"""
- converted_names = {}
- columns = list(data.columns)
+ converted_names: Dict[Label, str] = {}
+ columns: List[Label] = list(data.columns)
original_columns = columns[:]
duplicate_var_id = 0
@@ -2212,7 +2247,7 @@ def _check_column_names(self, data):
name = "_" + name
# Variable name may not start with a number
- if name[0] >= "0" and name[0] <= "9":
+ if "0" <= name[0] <= "9":
name = "_" + name
name = name[: min(len(name), 32)]
@@ -2228,7 +2263,7 @@ def _check_column_names(self, data):
columns[j] = name
- data.columns = columns
+ data.columns = Index(columns)
# Check date conversion, and fix key if needed
if self._convert_dates:
@@ -2240,11 +2275,6 @@ def _check_column_names(self, data):
if converted_names:
conversion_warning = []
for orig_name, name in converted_names.items():
- # need to possibly encode the orig name if its unicode
- try:
- orig_name = orig_name.encode("utf-8")
- except (UnicodeDecodeError, AttributeError):
- pass
msg = f"{orig_name} -> {name}"
conversion_warning.append(msg)
@@ -2256,21 +2286,23 @@ def _check_column_names(self, data):
return data
- def _set_formats_and_types(self, dtypes):
- self.typlist = []
- self.fmtlist = []
+ def _set_formats_and_types(self, dtypes: Series) -> None:
+ self.fmtlist: List[str] = []
+ self.typlist: List[int] = []
for col, dtype in dtypes.items():
self.fmtlist.append(_dtype_to_default_stata_fmt(dtype, self.data[col]))
self.typlist.append(_dtype_to_stata_type(dtype, self.data[col]))
- def _prepare_pandas(self, data):
+ def _prepare_pandas(self, data: DataFrame) -> None:
# NOTE: we might need a different API / class for pandas objects so
# we can set different semantics - handle this with a PR to pandas.io
data = data.copy()
if self._write_index:
- data = data.reset_index()
+ temp = data.reset_index()
+ if isinstance(temp, DataFrame):
+ data = temp
# Ensure column names are strings
data = self._check_column_names(data)
@@ -2313,9 +2345,10 @@ def _prepare_pandas(self, data):
# set the given format for the datetime cols
if self._convert_dates is not None:
for key in self._convert_dates:
- self.fmtlist[key] = self._convert_dates[key]
+ if isinstance(key, int):
+ self.fmtlist[key] = self._convert_dates[key]
- def _encode_strings(self):
+ def _encode_strings(self) -> None:
"""
Encode strings in dta-specific encoding
@@ -2334,7 +2367,7 @@ def _encode_strings(self):
dtype = column.dtype
if dtype.type == np.object_:
inferred_dtype = infer_dtype(column, skipna=True)
- if not ((inferred_dtype in ("string")) or len(column) == 0):
+ if not ((inferred_dtype == "string") or len(column) == 0):
col = column.name
raise ValueError(
f"""\
@@ -2352,7 +2385,7 @@ def _encode_strings(self):
):
self.data[col] = encoded
- def write_file(self):
+ def write_file(self) -> None:
self._file, self._own_file = _open_file_binary_write(self._fname)
try:
self._write_header(data_label=self._data_label, time_stamp=self._time_stamp)
@@ -2365,8 +2398,8 @@ def write_file(self):
self._write_variable_labels()
self._write_expansion_fields()
self._write_characteristics()
- self._prepare_data()
- self._write_data()
+ records = self._prepare_data()
+ self._write_data(records)
self._write_strls()
self._write_value_labels()
self._write_file_close_tag()
@@ -2375,7 +2408,8 @@ def write_file(self):
self._close()
if self._own_file:
try:
- os.unlink(self._fname)
+ if isinstance(self._fname, (str, Path)):
+ os.unlink(self._fname)
except OSError:
warnings.warn(
f"This save was not successful but {self._fname} could not "
@@ -2386,7 +2420,7 @@ def write_file(self):
else:
self._close()
- def _close(self):
+ def _close(self) -> None:
"""
Close the file if it was created by the writer.
@@ -2396,6 +2430,7 @@ def _close(self):
(if supported)
"""
# Some file-like objects might not support flush
+ assert self._file is not None
try:
self._file.flush()
except AttributeError:
@@ -2403,34 +2438,38 @@ def _close(self):
if self._own_file:
self._file.close()
- def _write_map(self):
+ def _write_map(self) -> None:
"""No-op, future compatibility"""
pass
- def _write_file_close_tag(self):
+ def _write_file_close_tag(self) -> None:
"""No-op, future compatibility"""
pass
- def _write_characteristics(self):
+ def _write_characteristics(self) -> None:
"""No-op, future compatibility"""
pass
- def _write_strls(self):
+ def _write_strls(self) -> None:
"""No-op, future compatibility"""
pass
- def _write_expansion_fields(self):
+ def _write_expansion_fields(self) -> None:
"""Write 5 zeros for expansion fields"""
self._write(_pad_bytes("", 5))
- def _write_value_labels(self):
+ def _write_value_labels(self) -> None:
for vl in self._value_labels:
- self._file.write(vl.generate_value_label(self._byteorder))
+ self._write_bytes(vl.generate_value_label(self._byteorder))
- def _write_header(self, data_label=None, time_stamp=None):
+ def _write_header(
+ self,
+ data_label: Optional[str] = None,
+ time_stamp: Optional[datetime.datetime] = None,
+ ) -> None:
byteorder = self._byteorder
# ds_format - just use 114
- self._file.write(struct.pack("b", 114))
+ self._write_bytes(struct.pack("b", 114))
# byteorder
self._write(byteorder == ">" and "\x01" or "\x02")
# filetype
@@ -2438,14 +2477,16 @@ def _write_header(self, data_label=None, time_stamp=None):
# unused
self._write("\x00")
# number of vars, 2 bytes
- self._file.write(struct.pack(byteorder + "h", self.nvar)[:2])
+ self._write_bytes(struct.pack(byteorder + "h", self.nvar)[:2])
# number of obs, 4 bytes
- self._file.write(struct.pack(byteorder + "i", self.nobs)[:4])
+ self._write_bytes(struct.pack(byteorder + "i", self.nobs)[:4])
# data label 81 bytes, char, null terminated
if data_label is None:
- self._file.write(self._null_terminate(_pad_bytes("", 80)))
+ self._write_bytes(self._null_terminate_bytes(_pad_bytes("", 80)))
else:
- self._file.write(self._null_terminate(_pad_bytes(data_label[:80], 80)))
+ self._write_bytes(
+ self._null_terminate_bytes(_pad_bytes(data_label[:80], 80))
+ )
# time stamp, 18 bytes, char, null terminated
# format dd Mon yyyy hh:mm
if time_stamp is None:
@@ -2474,43 +2515,43 @@ def _write_header(self, data_label=None, time_stamp=None):
+ month_lookup[time_stamp.month]
+ time_stamp.strftime(" %Y %H:%M")
)
- self._file.write(self._null_terminate(ts))
+ self._write_bytes(self._null_terminate_bytes(ts))
- def _write_variable_types(self):
+ def _write_variable_types(self) -> None:
for typ in self.typlist:
- self._file.write(struct.pack("B", typ))
+ self._write_bytes(struct.pack("B", typ))
- def _write_varnames(self):
+ def _write_varnames(self) -> None:
# varlist names are checked by _check_column_names
# varlist, requires null terminated
for name in self.varlist:
- name = self._null_terminate(name, True)
+ name = self._null_terminate_str(name)
name = _pad_bytes(name[:32], 33)
self._write(name)
- def _write_sortlist(self):
+ def _write_sortlist(self) -> None:
# srtlist, 2*(nvar+1), int array, encoded by byteorder
srtlist = _pad_bytes("", 2 * (self.nvar + 1))
self._write(srtlist)
- def _write_formats(self):
+ def _write_formats(self) -> None:
# fmtlist, 49*nvar, char array
for fmt in self.fmtlist:
self._write(_pad_bytes(fmt, 49))
- def _write_value_label_names(self):
+ def _write_value_label_names(self) -> None:
# lbllist, 33*nvar, char array
for i in range(self.nvar):
# Use variable name when categorical
if self._is_col_cat[i]:
name = self.varlist[i]
- name = self._null_terminate(name, True)
+ name = self._null_terminate_str(name)
name = _pad_bytes(name[:32], 33)
self._write(name)
else: # Default is empty label
self._write(_pad_bytes("", 33))
- def _write_variable_labels(self):
+ def _write_variable_labels(self) -> None:
# Missing labels are 80 blank characters plus null termination
blank = _pad_bytes("", 81)
@@ -2534,11 +2575,11 @@ def _write_variable_labels(self):
else:
self._write(blank)
- def _convert_strls(self, data):
+ def _convert_strls(self, data: DataFrame) -> DataFrame:
"""No-op, future compatibility"""
return data
- def _prepare_data(self):
+ def _prepare_data(self) -> np.recarray:
data = self.data
typlist = self.typlist
convert_dates = self._convert_dates
@@ -2568,23 +2609,21 @@ def _prepare_data(self):
dtype = dtype.newbyteorder(self._byteorder)
dtypes[col] = dtype
- self.data = data.to_records(index=False, column_dtypes=dtypes)
-
- def _write_data(self):
- data = self.data
- self._file.write(data.tobytes())
+ return data.to_records(index=False, column_dtypes=dtypes)
- def _null_terminate(self, s, as_string=False):
- null_byte = "\x00"
- s += null_byte
-
- if not as_string:
- s = s.encode(self._encoding)
+ def _write_data(self, records: np.recarray) -> None:
+ self._write_bytes(records.tobytes())
+ @staticmethod
+ def _null_terminate_str(s: str) -> str:
+ s += "\x00"
return s
+ def _null_terminate_bytes(self, s: str) -> bytes:
+ return self._null_terminate_str(s).encode(self._encoding)
+
-def _dtype_to_stata_type_117(dtype, column, force_strl):
+def _dtype_to_stata_type_117(dtype: np.dtype, column: Series, force_strl: bool) -> int:
"""
Converts dtype types to stata types. Returns the byte of the given ordinal.
See TYPE_MAP and comments for an explanation. This is also explained in
@@ -2626,7 +2665,7 @@ def _dtype_to_stata_type_117(dtype, column, force_strl):
raise NotImplementedError(f"Data type {dtype} not supported.")
-def _pad_bytes_new(name, length):
+def _pad_bytes_new(name: Union[str, bytes], length: int) -> bytes:
"""
Takes a bytes instance and pads it with null bytes until it's length chars.
"""
@@ -2646,7 +2685,7 @@ class StataStrLWriter:
----------
df : DataFrame
DataFrame to convert
- columns : list
+ columns : Sequence[str]
List of columns names to convert to StrL
version : int, optional
dta version. Currently supports 117, 118 and 119
@@ -2664,7 +2703,13 @@ class StataStrLWriter:
characters.
"""
- def __init__(self, df, columns, version=117, byteorder=None):
+ def __init__(
+ self,
+ df: DataFrame,
+ columns: Sequence[str],
+ version: int = 117,
+ byteorder: Optional[str] = None,
+ ):
if version not in (117, 118, 119):
raise ValueError("Only dta versions 117, 118 and 119 supported")
self._dta_ver = version
@@ -2691,11 +2736,11 @@ def __init__(self, df, columns, version=117, byteorder=None):
self._gso_o_type = gso_o_type
self._gso_v_type = gso_v_type
- def _convert_key(self, key):
+ def _convert_key(self, key: Tuple[int, int]) -> int:
v, o = key
return v + self._o_offet * o
- def generate_table(self):
+ def generate_table(self) -> Tuple[Dict[str, Tuple[int, int]], DataFrame]:
"""
Generates the GSO lookup table for the DataFrame
@@ -2747,7 +2792,7 @@ def generate_table(self):
return gso_table, gso_df
- def generate_blob(self, gso_table):
+ def generate_blob(self, gso_table: Dict[str, Tuple[int, int]]) -> bytes:
"""
Generates the binary blob of GSOs that is written to the dta file.
@@ -2890,18 +2935,20 @@ class StataWriter117(StataWriter):
def __init__(
self,
- fname,
- data,
- convert_dates=None,
- write_index=True,
- byteorder=None,
- time_stamp=None,
- data_label=None,
- variable_labels=None,
- convert_strl=None,
+ fname: FilePathOrBuffer,
+ data: DataFrame,
+ convert_dates: Optional[Dict[Label, str]] = None,
+ write_index: bool = True,
+ byteorder: Optional[str] = None,
+ time_stamp: Optional[datetime.datetime] = None,
+ data_label: Optional[str] = None,
+ variable_labels: Optional[Dict[Label, str]] = None,
+ convert_strl: Optional[Sequence[Label]] = None,
):
- # Shallow copy since convert_strl might be modified later
- self._convert_strl = [] if convert_strl is None else convert_strl[:]
+ # Copy to new list since convert_strl might be modified later
+ self._convert_strl: List[Label] = []
+ if convert_strl is not None:
+ self._convert_strl.extend(convert_strl)
super().__init__(
fname,
@@ -2913,24 +2960,29 @@ def __init__(
data_label=data_label,
variable_labels=variable_labels,
)
- self._map = None
- self._strl_blob = None
+ self._map: Dict[str, int] = {}
+ self._strl_blob = b""
@staticmethod
- def _tag(val, tag):
+ def _tag(val: Union[str, bytes], tag: str) -> bytes:
"""Surround val with <tag></tag>"""
if isinstance(val, str):
val = bytes(val, "utf-8")
return bytes("<" + tag + ">", "utf-8") + val + bytes("</" + tag + ">", "utf-8")
- def _update_map(self, tag):
+ def _update_map(self, tag: str) -> None:
"""Update map location for tag with file position"""
+ assert self._file is not None
self._map[tag] = self._file.tell()
- def _write_header(self, data_label=None, time_stamp=None):
+ def _write_header(
+ self,
+ data_label: Optional[str] = None,
+ time_stamp: Optional[datetime.datetime] = None,
+ ) -> None:
"""Write the file header"""
byteorder = self._byteorder
- self._file.write(bytes("<stata_dta>", "utf-8"))
+ self._write_bytes(bytes("<stata_dta>", "utf-8"))
bio = BytesIO()
# ds_format - 117
bio.write(self._tag(bytes(str(self._dta_version), "utf-8"), "release"))
@@ -2944,11 +2996,11 @@ def _write_header(self, data_label=None, time_stamp=None):
bio.write(self._tag(struct.pack(byteorder + nobs_size, self.nobs), "N"))
# data label 81 bytes, char, null terminated
label = data_label[:80] if data_label is not None else ""
- label = label.encode(self._encoding)
+ encoded_label = label.encode(self._encoding)
label_size = "B" if self._dta_version == 117 else "H"
- label_len = struct.pack(byteorder + label_size, len(label))
- label = label_len + label
- bio.write(self._tag(label, "label"))
+ label_len = struct.pack(byteorder + label_size, len(encoded_label))
+ encoded_label = label_len + encoded_label
+ bio.write(self._tag(encoded_label, "label"))
# time stamp, 18 bytes, char, null terminated
# format dd Mon yyyy hh:mm
if time_stamp is None:
@@ -2977,16 +3029,17 @@ def _write_header(self, data_label=None, time_stamp=None):
+ time_stamp.strftime(" %Y %H:%M")
)
# '\x11' added due to inspection of Stata file
- ts = b"\x11" + bytes(ts, "utf-8")
- bio.write(self._tag(ts, "timestamp"))
+ stata_ts = b"\x11" + bytes(ts, "utf-8")
+ bio.write(self._tag(stata_ts, "timestamp"))
bio.seek(0)
- self._file.write(self._tag(bio.read(), "header"))
+ self._write_bytes(self._tag(bio.read(), "header"))
- def _write_map(self):
+ def _write_map(self) -> None:
"""Called twice during file write. The first populates the values in
the map with 0s. The second call writes the final map locations when
all blocks have been written."""
- if self._map is None:
+ assert self._file is not None
+ if not self._map:
self._map = dict(
(
("stata_data", 0),
@@ -3011,43 +3064,43 @@ def _write_map(self):
for val in self._map.values():
bio.write(struct.pack(self._byteorder + "Q", val))
bio.seek(0)
- self._file.write(self._tag(bio.read(), "map"))
+ self._write_bytes(self._tag(bio.read(), "map"))
- def _write_variable_types(self):
+ def _write_variable_types(self) -> None:
self._update_map("variable_types")
bio = BytesIO()
for typ in self.typlist:
bio.write(struct.pack(self._byteorder + "H", typ))
bio.seek(0)
- self._file.write(self._tag(bio.read(), "variable_types"))
+ self._write_bytes(self._tag(bio.read(), "variable_types"))
- def _write_varnames(self):
+ def _write_varnames(self) -> None:
self._update_map("varnames")
bio = BytesIO()
# 118 scales by 4 to accommodate utf-8 data worst case encoding
vn_len = 32 if self._dta_version == 117 else 128
for name in self.varlist:
- name = self._null_terminate(name, True)
+ name = self._null_terminate_str(name)
name = _pad_bytes_new(name[:32].encode(self._encoding), vn_len + 1)
bio.write(name)
bio.seek(0)
- self._file.write(self._tag(bio.read(), "varnames"))
+ self._write_bytes(self._tag(bio.read(), "varnames"))
- def _write_sortlist(self):
+ def _write_sortlist(self) -> None:
self._update_map("sortlist")
sort_size = 2 if self._dta_version < 119 else 4
- self._file.write(self._tag(b"\x00" * sort_size * (self.nvar + 1), "sortlist"))
+ self._write_bytes(self._tag(b"\x00" * sort_size * (self.nvar + 1), "sortlist"))
- def _write_formats(self):
+ def _write_formats(self) -> None:
self._update_map("formats")
bio = BytesIO()
fmt_len = 49 if self._dta_version == 117 else 57
for fmt in self.fmtlist:
bio.write(_pad_bytes_new(fmt.encode(self._encoding), fmt_len))
bio.seek(0)
- self._file.write(self._tag(bio.read(), "formats"))
+ self._write_bytes(self._tag(bio.read(), "formats"))
- def _write_value_label_names(self):
+ def _write_value_label_names(self) -> None:
self._update_map("value_label_names")
bio = BytesIO()
# 118 scales by 4 to accommodate utf-8 data worst case encoding
@@ -3057,13 +3110,13 @@ def _write_value_label_names(self):
name = "" # default name
if self._is_col_cat[i]:
name = self.varlist[i]
- name = self._null_terminate(name, True)
- name = _pad_bytes_new(name[:32].encode(self._encoding), vl_len + 1)
- bio.write(name)
+ name = self._null_terminate_str(name)
+ encoded_name = _pad_bytes_new(name[:32].encode(self._encoding), vl_len + 1)
+ bio.write(encoded_name)
bio.seek(0)
- self._file.write(self._tag(bio.read(), "value_label_names"))
+ self._write_bytes(self._tag(bio.read(), "value_label_names"))
- def _write_variable_labels(self):
+ def _write_variable_labels(self) -> None:
# Missing labels are 80 blank characters plus null termination
self._update_map("variable_labels")
bio = BytesIO()
@@ -3075,7 +3128,7 @@ def _write_variable_labels(self):
for _ in range(self.nvar):
bio.write(blank)
bio.seek(0)
- self._file.write(self._tag(bio.read(), "variable_labels"))
+ self._write_bytes(self._tag(bio.read(), "variable_labels"))
return
for col in self.data:
@@ -3095,31 +3148,27 @@ def _write_variable_labels(self):
else:
bio.write(blank)
bio.seek(0)
- self._file.write(self._tag(bio.read(), "variable_labels"))
+ self._write_bytes(self._tag(bio.read(), "variable_labels"))
- def _write_characteristics(self):
+ def _write_characteristics(self) -> None:
self._update_map("characteristics")
- self._file.write(self._tag(b"", "characteristics"))
+ self._write_bytes(self._tag(b"", "characteristics"))
- def _write_data(self):
+ def _write_data(self, records) -> None:
self._update_map("data")
- data = self.data
- self._file.write(b"<data>")
- self._file.write(data.tobytes())
- self._file.write(b"</data>")
+ self._write_bytes(b"<data>")
+ self._write_bytes(records.tobytes())
+ self._write_bytes(b"</data>")
- def _write_strls(self):
+ def _write_strls(self) -> None:
self._update_map("strls")
- strls = b""
- if self._strl_blob is not None:
- strls = self._strl_blob
- self._file.write(self._tag(strls, "strls"))
+ self._write_bytes(self._tag(self._strl_blob, "strls"))
- def _write_expansion_fields(self):
+ def _write_expansion_fields(self) -> None:
"""No-op in dta 117+"""
pass
- def _write_value_labels(self):
+ def _write_value_labels(self) -> None:
self._update_map("value_labels")
bio = BytesIO()
for vl in self._value_labels:
@@ -3127,14 +3176,14 @@ def _write_value_labels(self):
lab = self._tag(lab, "lbl")
bio.write(lab)
bio.seek(0)
- self._file.write(self._tag(bio.read(), "value_labels"))
+ self._write_bytes(self._tag(bio.read(), "value_labels"))
- def _write_file_close_tag(self):
+ def _write_file_close_tag(self) -> None:
self._update_map("stata_data_close")
- self._file.write(bytes("</stata_dta>", "utf-8"))
+ self._write_bytes(bytes("</stata_dta>", "utf-8"))
self._update_map("end-of-file")
- def _update_strl_names(self):
+ def _update_strl_names(self) -> None:
"""Update column names for conversion to strl if they might have been
changed to comply with Stata naming rules"""
# Update convert_strl if names changed
@@ -3143,7 +3192,7 @@ def _update_strl_names(self):
idx = self._convert_strl.index(orig)
self._convert_strl[idx] = new
- def _convert_strls(self, data):
+ def _convert_strls(self, data: DataFrame) -> DataFrame:
"""Convert columns to StrLs if either very large or in the
convert_strl variable"""
convert_cols = [
@@ -3159,7 +3208,7 @@ def _convert_strls(self, data):
self._strl_blob = ssw.generate_blob(tab)
return data
- def _set_formats_and_types(self, dtypes):
+ def _set_formats_and_types(self, dtypes: Series) -> None:
self.typlist = []
self.fmtlist = []
for col, dtype in dtypes.items():
@@ -3266,13 +3315,13 @@ def __init__(
self,
fname: FilePathOrBuffer,
data: DataFrame,
- convert_dates: Optional[Dict[Hashable, str]] = None,
+ convert_dates: Optional[Dict[Label, str]] = None,
write_index: bool = True,
byteorder: Optional[str] = None,
time_stamp: Optional[datetime.datetime] = None,
data_label: Optional[str] = None,
- variable_labels: Optional[Dict[Hashable, str]] = None,
- convert_strl: Optional[Sequence[Hashable]] = None,
+ variable_labels: Optional[Dict[Label, str]] = None,
+ convert_strl: Optional[Sequence[Label]] = None,
version: Optional[int] = None,
):
if version is None:
diff --git a/pandas/tests/io/test_stata.py b/pandas/tests/io/test_stata.py
index edb766a67af89..cb2112b481952 100644
--- a/pandas/tests/io/test_stata.py
+++ b/pandas/tests/io/test_stata.py
@@ -1374,7 +1374,7 @@ def test_unsupported_datetype(self):
"dates": dates,
}
)
- with pytest.raises(NotImplementedError):
+ with pytest.raises(NotImplementedError, match="Data type datetime64"):
with tm.ensure_clean() as path:
original.to_stata(path)
| - [X] passes `black pandas`
- [X] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
| https://api.github.com/repos/pandas-dev/pandas/pulls/31072 | 2020-01-16T12:09:02Z | 2020-01-26T00:42:01Z | 2020-01-26T00:42:01Z | 2020-07-28T14:41:36Z |
ENH: accept a dictionary in plot colors | diff --git a/doc/source/whatsnew/v1.1.0.rst b/doc/source/whatsnew/v1.1.0.rst
index c8e811ce82b1f..61e907acfd54e 100644
--- a/doc/source/whatsnew/v1.1.0.rst
+++ b/doc/source/whatsnew/v1.1.0.rst
@@ -162,7 +162,7 @@ I/O
Plotting
^^^^^^^^
--
+- :func:`.plot` for line/bar now accepts color by dictonary (:issue:`8193`).
-
Groupby/resample/rolling
diff --git a/pandas/plotting/_core.py b/pandas/plotting/_core.py
index c239f11d5c6a1..139e0f2bbad8b 100644
--- a/pandas/plotting/_core.py
+++ b/pandas/plotting/_core.py
@@ -385,6 +385,45 @@ def hist_frame(
"""
+_bar_or_line_doc = """
+ Parameters
+ ----------
+ x : label or position, optional
+ Allows plotting of one column versus another. If not specified,
+ the index of the DataFrame is used.
+ y : label or position, optional
+ Allows plotting of one column versus another. If not specified,
+ all numerical columns are used.
+ color : str, array_like, or dict, optional
+ The color for each of the DataFrame's columns. Possible values are:
+
+ - A single color string referred to by name, RGB or RGBA code,
+ for instance 'red' or '#a98d19'.
+
+ - A sequence of color strings referred to by name, RGB or RGBA
+ code, which will be used for each column recursively. For
+ instance ['green','yellow'] each column's %(kind)s will be filled in
+ green or yellow, alternatively.
+
+ - A dict of the form {column name : color}, so that each column will be
+ colored accordingly. For example, if your columns are called `a` and
+ `b`, then passing {'a': 'green', 'b': 'red'} will color %(kind)ss for
+ column `a` in green and %(kind)ss for column `b` in red.
+
+ .. versionadded:: 1.1.0
+
+ **kwargs
+ Additional keyword arguments are documented in
+ :meth:`DataFrame.plot`.
+
+ Returns
+ -------
+ matplotlib.axes.Axes or np.ndarray of them
+ An ndarray is returned with one :class:`matplotlib.axes.Axes`
+ per column when ``subplots=True``.
+"""
+
+
@Substitution(backend="")
@Appender(_boxplot_doc)
def boxplot(
@@ -848,31 +887,8 @@ def __call__(self, *args, **kwargs):
__call__.__doc__ = __doc__
- def line(self, x=None, y=None, **kwargs):
+ @Appender(
"""
- Plot Series or DataFrame as lines.
-
- This function is useful to plot lines using DataFrame's values
- as coordinates.
-
- Parameters
- ----------
- x : int or str, optional
- Columns to use for the horizontal axis.
- Either the location or the label of the columns to be used.
- By default, it will use the DataFrame indices.
- y : int, str, or list of them, optional
- The values to be plotted.
- Either the location or the label of the columns to be used.
- By default, it will use the remaining DataFrame numeric columns.
- **kwargs
- Keyword arguments to pass on to :meth:`DataFrame.plot`.
-
- Returns
- -------
- :class:`matplotlib.axes.Axes` or :class:`numpy.ndarray`
- Return an ndarray when ``subplots=True``.
-
See Also
--------
matplotlib.pyplot.plot : Plot y versus x as lines and/or markers.
@@ -907,6 +923,16 @@ def line(self, x=None, y=None, **kwargs):
>>> type(axes)
<class 'numpy.ndarray'>
+ .. plot::
+ :context: close-figs
+
+ Let's repeat the same example, but specifying colors for
+ each column (in this case, for each animal).
+
+ >>> axes = df.plot.line(
+ ... subplots=True, color={"pig": "pink", "horse": "#742802"}
+ ... )
+
.. plot::
:context: close-figs
@@ -915,36 +941,20 @@ def line(self, x=None, y=None, **kwargs):
>>> lines = df.plot.line(x='pig', y='horse')
"""
- return self(kind="line", x=x, y=y, **kwargs)
-
- def bar(self, x=None, y=None, **kwargs):
+ )
+ @Substitution(kind="line")
+ @Appender(_bar_or_line_doc)
+ def line(self, x=None, y=None, **kwargs):
"""
- Vertical bar plot.
-
- A bar plot is a plot that presents categorical data with
- rectangular bars with lengths proportional to the values that they
- represent. A bar plot shows comparisons among discrete categories. One
- axis of the plot shows the specific categories being compared, and the
- other axis represents a measured value.
-
- Parameters
- ----------
- x : label or position, optional
- Allows plotting of one column versus another. If not specified,
- the index of the DataFrame is used.
- y : label or position, optional
- Allows plotting of one column versus another. If not specified,
- all numerical columns are used.
- **kwargs
- Additional keyword arguments are documented in
- :meth:`DataFrame.plot`.
+ Plot Series or DataFrame as lines.
- Returns
- -------
- matplotlib.axes.Axes or np.ndarray of them
- An ndarray is returned with one :class:`matplotlib.axes.Axes`
- per column when ``subplots=True``.
+ This function is useful to plot lines using DataFrame's values
+ as coordinates.
+ """
+ return self(kind="line", x=x, y=y, **kwargs)
+ @Appender(
+ """
See Also
--------
DataFrame.plot.barh : Horizontal bar plot.
@@ -986,6 +996,17 @@ def bar(self, x=None, y=None, **kwargs):
>>> axes = df.plot.bar(rot=0, subplots=True)
>>> axes[1].legend(loc=2) # doctest: +SKIP
+ If you don't like the default colours, you can specify how you'd
+ like each column to be colored.
+
+ .. plot::
+ :context: close-figs
+
+ >>> axes = df.plot.bar(
+ ... rot=0, subplots=True, color={"speed": "red", "lifespan": "green"}
+ ... )
+ >>> axes[1].legend(loc=2) # doctest: +SKIP
+
Plot a single column.
.. plot::
@@ -999,32 +1020,24 @@ def bar(self, x=None, y=None, **kwargs):
:context: close-figs
>>> ax = df.plot.bar(x='lifespan', rot=0)
+ """
+ )
+ @Substitution(kind="bar")
+ @Appender(_bar_or_line_doc)
+ def bar(self, x=None, y=None, **kwargs):
"""
- return self(kind="bar", x=x, y=y, **kwargs)
-
- def barh(self, x=None, y=None, **kwargs):
- """
- Make a horizontal bar plot.
+ Vertical bar plot.
- A horizontal bar plot is a plot that presents quantitative data with
+ A bar plot is a plot that presents categorical data with
rectangular bars with lengths proportional to the values that they
represent. A bar plot shows comparisons among discrete categories. One
axis of the plot shows the specific categories being compared, and the
other axis represents a measured value.
+ """
+ return self(kind="bar", x=x, y=y, **kwargs)
- Parameters
- ----------
- x : label or position, default DataFrame.index
- Column to be used for categories.
- y : label or position, default All numeric columns in dataframe
- Columns to be plotted from the DataFrame.
- **kwargs
- Keyword arguments to pass on to :meth:`DataFrame.plot`.
-
- Returns
- -------
- :class:`matplotlib.axes.Axes` or numpy.ndarray of them
-
+ @Appender(
+ """
See Also
--------
DataFrame.plot.bar: Vertical bar plot.
@@ -1054,6 +1067,13 @@ def barh(self, x=None, y=None, **kwargs):
... 'lifespan': lifespan}, index=index)
>>> ax = df.plot.barh()
+ We can specify colors for each column
+
+ .. plot::
+ :context: close-figs
+
+ >>> ax = df.plot.barh(color={"speed": "red", "lifespan": "green"})
+
Plot a column of the DataFrame to a horizontal bar plot
.. plot::
@@ -1079,6 +1099,19 @@ def barh(self, x=None, y=None, **kwargs):
>>> df = pd.DataFrame({'speed': speed,
... 'lifespan': lifespan}, index=index)
>>> ax = df.plot.barh(x='lifespan')
+ """
+ )
+ @Substitution(kind="bar")
+ @Appender(_bar_or_line_doc)
+ def barh(self, x=None, y=None, **kwargs):
+ """
+ Make a horizontal bar plot.
+
+ A horizontal bar plot is a plot that presents quantitative data with
+ rectangular bars with lengths proportional to the values that they
+ represent. A bar plot shows comparisons among discrete categories. One
+ axis of the plot shows the specific categories being compared, and the
+ other axis represents a measured value.
"""
return self(kind="barh", x=x, y=y, **kwargs)
diff --git a/pandas/plotting/_matplotlib/core.py b/pandas/plotting/_matplotlib/core.py
index 2d68bb46a8ada..de09460bb833d 100644
--- a/pandas/plotting/_matplotlib/core.py
+++ b/pandas/plotting/_matplotlib/core.py
@@ -726,7 +726,10 @@ def _apply_style_colors(self, colors, kwds, col_num, label):
has_color = "color" in kwds or self.colormap is not None
nocolor_style = style is None or re.match("[a-z]+", style) is None
if (has_color or self.subplots) and nocolor_style:
- kwds["color"] = colors[col_num % len(colors)]
+ if isinstance(colors, dict):
+ kwds["color"] = colors[label]
+ else:
+ kwds["color"] = colors[col_num % len(colors)]
return style, kwds
def _get_colors(self, num_colors=None, color_kwds="color"):
@@ -1347,6 +1350,8 @@ def _make_plot(self):
kwds = self.kwds.copy()
if self._is_series:
kwds["color"] = colors
+ elif isinstance(colors, dict):
+ kwds["color"] = colors[label]
else:
kwds["color"] = colors[i % ncolors]
diff --git a/pandas/plotting/_matplotlib/style.py b/pandas/plotting/_matplotlib/style.py
index fd69265b18a5b..7990bff4f517c 100644
--- a/pandas/plotting/_matplotlib/style.py
+++ b/pandas/plotting/_matplotlib/style.py
@@ -27,7 +27,11 @@ def _get_standard_colors(
warnings.warn(
"'color' and 'colormap' cannot be used simultaneously. Using 'color'"
)
- colors = list(color) if is_list_like(color) else color
+ colors = (
+ list(color)
+ if is_list_like(color) and not isinstance(color, dict)
+ else color
+ )
else:
if color_type == "default":
# need to call list() on the result to copy so we don't
diff --git a/pandas/tests/plotting/test_misc.py b/pandas/tests/plotting/test_misc.py
index 228c84528e882..168e8c7de0b83 100644
--- a/pandas/tests/plotting/test_misc.py
+++ b/pandas/tests/plotting/test_misc.py
@@ -406,3 +406,24 @@ def test_get_standard_colors_no_appending(self):
color_list = cm.gnuplot(np.linspace(0, 1, 16))
p = df.A.plot.bar(figsize=(16, 7), color=color_list)
assert p.patches[1].get_facecolor() == p.patches[17].get_facecolor()
+
+ @pytest.mark.slow
+ def test_dictionary_color(self):
+ # issue-8193
+ # Test plot color dictionary format
+ data_files = ["a", "b"]
+
+ expected = [(0.5, 0.24, 0.6), (0.3, 0.7, 0.7)]
+
+ df1 = DataFrame(np.random.rand(2, 2), columns=data_files)
+ dic_color = {"b": (0.3, 0.7, 0.7), "a": (0.5, 0.24, 0.6)}
+
+ # Bar color test
+ ax = df1.plot(kind="bar", color=dic_color)
+ colors = [rect.get_facecolor()[0:-1] for rect in ax.get_children()[0:3:2]]
+ assert all(color == expected[index] for index, color in enumerate(colors))
+
+ # Line color test
+ ax = df1.plot(kind="line", color=dic_color)
+ colors = [rect.get_color() for rect in ax.get_lines()[0:2]]
+ assert all(color == expected[index] for index, color in enumerate(colors))
| This is a resurrection of #28659. Have kept the original commit history, just rebased and added docstrings.
- [x] closes #8193
- [x] tests added / passed
- [x] passes `black pandas`
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [x] whatsnew entry
| https://api.github.com/repos/pandas-dev/pandas/pulls/31071 | 2020-01-16T11:25:12Z | 2020-01-26T01:04:28Z | 2020-01-26T01:04:27Z | 2020-02-01T18:19:00Z |
PERF: add shortcut to Timedelta constructor | diff --git a/asv_bench/benchmarks/tslibs/timedelta.py b/asv_bench/benchmarks/tslibs/timedelta.py
index 8a16ddc189483..6ed273281569b 100644
--- a/asv_bench/benchmarks/tslibs/timedelta.py
+++ b/asv_bench/benchmarks/tslibs/timedelta.py
@@ -10,6 +10,11 @@
class TimedeltaConstructor:
+ def setup(self):
+ self.nptimedelta64 = np.timedelta64(3600)
+ self.dttimedelta = datetime.timedelta(seconds=3600)
+ self.td = Timedelta(3600, unit="s")
+
def time_from_int(self):
Timedelta(123456789)
@@ -28,10 +33,10 @@ def time_from_components(self):
)
def time_from_datetime_timedelta(self):
- Timedelta(datetime.timedelta(days=1, seconds=1))
+ Timedelta(self.dttimedelta)
def time_from_np_timedelta(self):
- Timedelta(np.timedelta64(1, "ms"))
+ Timedelta(self.nptimedelta64)
def time_from_string(self):
Timedelta("1 days")
@@ -42,6 +47,9 @@ def time_from_iso_format(self):
def time_from_missing(self):
Timedelta("nat")
+ def time_from_pd_timedelta(self):
+ Timedelta(self.td)
+
class TimedeltaProperties:
def setup_cache(self):
diff --git a/doc/source/whatsnew/v1.1.0.rst b/doc/source/whatsnew/v1.1.0.rst
index 59c90534beefd..c046825bf1ce9 100644
--- a/doc/source/whatsnew/v1.1.0.rst
+++ b/doc/source/whatsnew/v1.1.0.rst
@@ -72,7 +72,7 @@ Deprecations
Performance improvements
~~~~~~~~~~~~~~~~~~~~~~~~
-
+- Performance improvement in :class:`Timedelta` constructor (:issue:`30543`)
-
-
diff --git a/pandas/_libs/tslibs/timedeltas.pyx b/pandas/_libs/tslibs/timedeltas.pyx
index 0a773b8a215ed..c376300454260 100644
--- a/pandas/_libs/tslibs/timedeltas.pyx
+++ b/pandas/_libs/tslibs/timedeltas.pyx
@@ -1208,7 +1208,12 @@ class Timedelta(_Timedelta):
"represent unambiguous timedelta values durations."
)
- if isinstance(value, Timedelta):
+ # GH 30543 if pd.Timedelta already passed, return it
+ # check that only value is passed
+ if (isinstance(value, Timedelta) and unit is None and
+ len(kwargs) == 0):
+ return value
+ elif isinstance(value, Timedelta):
value = value.value
elif isinstance(value, str):
if len(value) > 0 and value[0] == 'P':
diff --git a/pandas/tests/indexes/datetimes/test_constructors.py b/pandas/tests/indexes/datetimes/test_constructors.py
index 95d14ad4c86f7..b6013c3939793 100644
--- a/pandas/tests/indexes/datetimes/test_constructors.py
+++ b/pandas/tests/indexes/datetimes/test_constructors.py
@@ -950,3 +950,10 @@ def test_datetimeindex_constructor_misc(self):
)
assert len(idx1) == len(idx2)
assert idx1.freq == idx2.freq
+
+
+def test_timedelta_constructor_identity():
+ # Test for #30543
+ expected = pd.Timedelta(np.timedelta64(1, "s"))
+ result = pd.Timedelta(expected)
+ assert result is expected
| WIP until #30676 gets merged.
- [ ] second half of #30543
- [X] tests added 1 / passed 1
- [X] passes `black pandas`
- [X] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [X] whatsnew entry
This implements a shortcut in the Timedelta constructor to cut down on processing if Timedelta is passed. We still need to check if any other args are passed. Then, if a Timedelta with no other kwargs was passed, we just return that same Timedelta.
A test is added to check that the Timedelta is still the same object. | https://api.github.com/repos/pandas-dev/pandas/pulls/31070 | 2020-01-16T09:57:08Z | 2020-01-24T00:36:48Z | 2020-01-24T00:36:47Z | 2020-01-27T06:54:59Z |
DOC: add plotting backends in visualization.rst | diff --git a/doc/source/user_guide/visualization.rst b/doc/source/user_guide/visualization.rst
index 39051440e9d9a..b0d63f9cd948a 100644
--- a/doc/source/user_guide/visualization.rst
+++ b/doc/source/user_guide/visualization.rst
@@ -1641,3 +1641,46 @@ when plotting a large number of points.
:suppress:
plt.close('all')
+
+Plotting backends
+-----------------
+
+Starting in version 0.25, pandas can be extended with third-party plotting backends. The
+main idea is letting users select a plotting backend different than the provided
+one based on Matplotlib.
+
+This can be done by passsing 'backend.module' as the argument ``backend`` in ``plot``
+function. For example:
+
+.. code-block:: python
+
+ >>> Series([1, 2, 3]).plot(backend='backend.module')
+
+Alternatively, you can also set this option globally, do you don't need to specify
+the keyword in each ``plot`` call. For example:
+
+.. code-block:: python
+
+ >>> pd.set_option('plotting.backend', 'backend.module')
+ >>> pd.Series([1, 2, 3]).plot()
+
+Or:
+
+.. code-block:: python
+
+ >>> pd.options.plotting.backend = 'backend.module'
+ >>> pd.Series([1, 2, 3]).plot()
+
+This would be more or less equivalent to:
+
+.. code-block:: python
+
+ >>> import backend.module
+ >>> backend.module.plot(pd.Series([1, 2, 3]))
+
+The backend module can then use other visualization tools (Bokeh, Altair, hvplot,...)
+to generate the plots. Some libraries implementing a backend for pandas are listed
+on the ecosystem :ref:`ecosystem.visualization` page.
+
+Developers guide can be found at
+https://dev.pandas.io/docs/development/extending.html#plotting-backends
\ No newline at end of file
| - [x] closes #30984
| https://api.github.com/repos/pandas-dev/pandas/pulls/31066 | 2020-01-16T05:40:06Z | 2020-02-05T19:09:05Z | 2020-02-05T19:09:05Z | 2020-02-05T19:19:30Z |
CLN: remove redundant return value | diff --git a/pandas/_libs/tslibs/parsing.pyx b/pandas/_libs/tslibs/parsing.pyx
index 3705b0a41fe55..ebdf7a1e29216 100644
--- a/pandas/_libs/tslibs/parsing.pyx
+++ b/pandas/_libs/tslibs/parsing.pyx
@@ -217,7 +217,7 @@ def parse_datetime_string(date_string: str, freq=None, dayfirst=False,
return dt
try:
- dt, _, _ = _parse_dateabbr_string(date_string, _DEFAULT_DATETIME, freq)
+ dt, _ = _parse_dateabbr_string(date_string, _DEFAULT_DATETIME, freq)
return dt
except DateParseError:
raise
@@ -280,7 +280,6 @@ cdef parse_datetime_string_with_reso(str date_string, freq=None, dayfirst=False,
Returns
-------
datetime
- datetime/dateutil.parser._result
str
Inferred resolution of the parsed string.
@@ -297,7 +296,7 @@ cdef parse_datetime_string_with_reso(str date_string, freq=None, dayfirst=False,
parsed, reso = _parse_delimited_date(date_string, dayfirst)
if parsed is not None:
- return parsed, parsed, reso
+ return parsed, reso
try:
return _parse_dateabbr_string(date_string, _DEFAULT_DATETIME, freq)
@@ -315,7 +314,7 @@ cdef parse_datetime_string_with_reso(str date_string, freq=None, dayfirst=False,
raise DateParseError(err)
if parsed is None:
raise DateParseError(f"Could not parse {date_string}")
- return parsed, parsed, reso
+ return parsed, reso
cpdef bint _does_string_look_like_datetime(str py_string):
@@ -375,7 +374,7 @@ cdef inline object _parse_dateabbr_string(object date_string, object default,
assert isinstance(date_string, str)
if date_string in nat_strings:
- return NaT, NaT, ''
+ return NaT, ''
date_string = date_string.upper()
date_len = len(date_string)
@@ -384,7 +383,7 @@ cdef inline object _parse_dateabbr_string(object date_string, object default,
# parse year only like 2000
try:
ret = default.replace(year=int(date_string))
- return ret, ret, 'year'
+ return ret, 'year'
except ValueError:
pass
@@ -441,7 +440,7 @@ cdef inline object _parse_dateabbr_string(object date_string, object default,
month = (quarter - 1) * 3 + 1
ret = default.replace(year=year, month=month)
- return ret, ret, 'quarter'
+ return ret, 'quarter'
except DateParseError:
raise
@@ -454,14 +453,14 @@ cdef inline object _parse_dateabbr_string(object date_string, object default,
month = int(date_string[4:6])
try:
ret = default.replace(year=year, month=month)
- return ret, ret, 'month'
+ return ret, 'month'
except ValueError:
pass
for pat in ['%Y-%m', '%b %Y', '%b-%Y']:
try:
ret = datetime.strptime(date_string, pat)
- return ret, ret, 'month'
+ return ret, 'month'
except ValueError:
pass
diff --git a/pandas/_libs/tslibs/period.pyx b/pandas/_libs/tslibs/period.pyx
index bd57e75c72f19..3dd560ece188d 100644
--- a/pandas/_libs/tslibs/period.pyx
+++ b/pandas/_libs/tslibs/period.pyx
@@ -2466,7 +2466,7 @@ class Period(_Period):
if util.is_integer_object(value):
value = str(value)
value = value.upper()
- dt, _, reso = parse_time_string(value, freq)
+ dt, reso = parse_time_string(value, freq)
if dt is NaT:
ordinal = NPY_NAT
diff --git a/pandas/core/indexes/datetimes.py b/pandas/core/indexes/datetimes.py
index 23ced8987d8ac..942b51eda7d0b 100644
--- a/pandas/core/indexes/datetimes.py
+++ b/pandas/core/indexes/datetimes.py
@@ -750,7 +750,7 @@ def _maybe_cast_slice_bound(self, label, side, kind):
if isinstance(label, str):
freq = getattr(self, "freqstr", getattr(self, "inferred_freq", None))
- _, parsed, reso = parsing.parse_time_string(label, freq)
+ parsed, reso = parsing.parse_time_string(label, freq)
lower, upper = self._parsed_string_to_bounds(reso, parsed)
# lower, upper form the half-open interval:
# [parsed, parsed + 1 freq)
@@ -766,7 +766,7 @@ def _maybe_cast_slice_bound(self, label, side, kind):
def _get_string_slice(self, key: str, use_lhs: bool = True, use_rhs: bool = True):
freq = getattr(self, "freqstr", getattr(self, "inferred_freq", None))
- _, parsed, reso = parsing.parse_time_string(key, freq)
+ parsed, reso = parsing.parse_time_string(key, freq)
loc = self._partial_date_slice(reso, parsed, use_lhs=use_lhs, use_rhs=use_rhs)
return loc
diff --git a/pandas/core/indexes/period.py b/pandas/core/indexes/period.py
index 123353b620bfa..a54d09e8bede0 100644
--- a/pandas/core/indexes/period.py
+++ b/pandas/core/indexes/period.py
@@ -5,6 +5,7 @@
from pandas._libs import index as libindex
from pandas._libs.tslibs import NaT, frequencies as libfrequencies, resolution
+from pandas._libs.tslibs.parsing import parse_time_string
from pandas._libs.tslibs.period import Period
from pandas.util._decorators import Appender, Substitution, cache_readonly
@@ -44,7 +45,7 @@
from pandas.core.indexes.datetimes import DatetimeIndex, Index
from pandas.core.indexes.numeric import Int64Index
from pandas.core.ops import get_op_result_name
-from pandas.core.tools.datetimes import DateParseError, parse_time_string
+from pandas.core.tools.datetimes import DateParseError
from pandas.tseries import frequencies
from pandas.tseries.offsets import DateOffset, Tick
@@ -511,7 +512,7 @@ def get_value(self, series, key):
return series.iat[key]
if isinstance(key, str):
- asdt, parsed, reso = parse_time_string(key, self.freq)
+ asdt, reso = parse_time_string(key, self.freq)
grp = resolution.Resolution.get_freq_group(reso)
freqn = resolution.get_freq_group(self.freq)
@@ -601,7 +602,7 @@ def get_loc(self, key, method=None, tolerance=None):
if isinstance(key, str):
try:
- asdt, parsed, reso = parse_time_string(key, self.freq)
+ asdt, reso = parse_time_string(key, self.freq)
key = asdt
except DateParseError:
# A string with invalid format
@@ -659,7 +660,7 @@ def _maybe_cast_slice_bound(self, label, side, kind):
return Period(label, freq=self.freq)
elif isinstance(label, str):
try:
- _, parsed, reso = parse_time_string(label, self.freq)
+ parsed, reso = parse_time_string(label, self.freq)
bounds = self._parsed_string_to_bounds(reso, parsed)
return bounds[0 if side == "left" else 1]
except ValueError:
@@ -716,7 +717,7 @@ def _get_string_slice(self, key):
if not self.is_monotonic:
raise ValueError("Partial indexing only valid for ordered time series")
- key, parsed, reso = parse_time_string(key, self.freq)
+ parsed, reso = parse_time_string(key, self.freq)
grp = resolution.Resolution.get_freq_group(reso)
freqn = resolution.get_freq_group(self.freq)
if reso in ["day", "hour", "minute", "second"] and not grp < freqn:
diff --git a/pandas/core/tools/datetimes.py b/pandas/core/tools/datetimes.py
index 898fbc6f8bc3b..84c17748c503c 100644
--- a/pandas/core/tools/datetimes.py
+++ b/pandas/core/tools/datetimes.py
@@ -12,7 +12,6 @@
DateParseError,
_format_is_iso,
_guess_datetime_format,
- parse_time_string,
)
from pandas._libs.tslibs.strptime import array_strptime
from pandas._typing import ArrayLike
diff --git a/pandas/tests/indexes/datetimes/test_tools.py b/pandas/tests/indexes/datetimes/test_tools.py
index fe65653ba6545..a5332eaea0432 100644
--- a/pandas/tests/indexes/datetimes/test_tools.py
+++ b/pandas/tests/indexes/datetimes/test_tools.py
@@ -1874,7 +1874,7 @@ def test_parsers(self, date_str, expected, cache):
# https://github.com/dateutil/dateutil/issues/217
yearfirst = True
- result1, _, _ = parsing.parse_time_string(date_str, yearfirst=yearfirst)
+ result1, _ = parsing.parse_time_string(date_str, yearfirst=yearfirst)
result2 = to_datetime(date_str, yearfirst=yearfirst)
result3 = to_datetime([date_str], yearfirst=yearfirst)
# result5 is used below
@@ -1910,7 +1910,7 @@ def test_na_values_with_cache(
def test_parsers_nat(self):
# Test that each of several string-accepting methods return pd.NaT
- result1, _, _ = parsing.parse_time_string("NaT")
+ result1, _ = parsing.parse_time_string("NaT")
result2 = to_datetime("NaT")
result3 = Timestamp("NaT")
result4 = DatetimeIndex(["NaT"])[0]
@@ -1986,7 +1986,7 @@ def test_parsers_dayfirst_yearfirst(self, cache):
)
assert dateutil_result == expected
- result1, _, _ = parsing.parse_time_string(
+ result1, _ = parsing.parse_time_string(
date_str, dayfirst=dayfirst, yearfirst=yearfirst
)
@@ -2016,7 +2016,7 @@ def test_parsers_timestring(self, cache):
}
for date_str, (exp_now, exp_def) in cases.items():
- result1, _, _ = parsing.parse_time_string(date_str)
+ result1, _ = parsing.parse_time_string(date_str)
result2 = to_datetime(date_str)
result3 = to_datetime([date_str])
result4 = Timestamp(date_str)
diff --git a/pandas/tests/tslibs/test_parsing.py b/pandas/tests/tslibs/test_parsing.py
index 36f7ada7326bf..c452d5b12ce01 100644
--- a/pandas/tests/tslibs/test_parsing.py
+++ b/pandas/tests/tslibs/test_parsing.py
@@ -15,10 +15,9 @@
def test_parse_time_string():
- (date, parsed, reso) = parse_time_string("4Q1984")
- (date_lower, parsed_lower, reso_lower) = parse_time_string("4q1984")
+ (parsed, reso) = parse_time_string("4Q1984")
+ (parsed_lower, reso_lower) = parse_time_string("4q1984")
- assert date == date_lower
assert reso == reso_lower
assert parsed == parsed_lower
@@ -34,10 +33,9 @@ def test_parse_time_string_invalid_type():
)
def test_parse_time_quarter_with_dash(dashed, normal):
# see gh-9688
- (date_dash, parsed_dash, reso_dash) = parse_time_string(dashed)
- (date, parsed, reso) = parse_time_string(normal)
+ (parsed_dash, reso_dash) = parse_time_string(dashed)
+ (parsed, reso) = parse_time_string(normal)
- assert date_dash == date
assert parsed_dash == parsed
assert reso_dash == reso
@@ -106,7 +104,7 @@ def test_parsers_quarterly_with_freq_error(date_str, kwargs, msg):
],
)
def test_parsers_quarterly_with_freq(date_str, freq, expected):
- result, _, _ = parsing.parse_time_string(date_str, freq=freq)
+ result, _ = parsing.parse_time_string(date_str, freq=freq)
assert result == expected
@@ -131,7 +129,7 @@ def test_parsers_quarter_invalid(date_str):
[("201101", datetime(2011, 1, 1, 0, 0)), ("200005", datetime(2000, 5, 1, 0, 0))],
)
def test_parsers_month_freq(date_str, expected):
- result, _, _ = parsing.parse_time_string(date_str, freq="M")
+ result, _ = parsing.parse_time_string(date_str, freq="M")
assert result == expected
@@ -223,5 +221,5 @@ def test_parse_time_string_check_instance_type_raise_exception():
parse_time_string((1, 2, 3))
result = parse_time_string("2019")
- expected = (datetime(2019, 1, 1), datetime(2019, 1, 1), "year")
+ expected = (datetime(2019, 1, 1), "year")
assert result == expected
| https://api.github.com/repos/pandas-dev/pandas/pulls/31065 | 2020-01-16T04:53:51Z | 2020-01-16T10:23:27Z | 2020-01-16T10:23:27Z | 2020-01-16T16:35:04Z | |
BUG: partial-timestamp slicing near the end of year/quarter/month | diff --git a/doc/source/whatsnew/v1.1.0.rst b/doc/source/whatsnew/v1.1.0.rst
index b5a7b19f160a4..4e8cc3ce1d04f 100644
--- a/doc/source/whatsnew/v1.1.0.rst
+++ b/doc/source/whatsnew/v1.1.0.rst
@@ -102,7 +102,7 @@ Interval
Indexing
^^^^^^^^
-
+- Bug in slicing on a :class:`DatetimeIndex` with a partial-timestamp dropping high-resolution indices near the end of a year, quarter, or month (:issue:`31064`)
-
-
diff --git a/pandas/core/indexes/datetimes.py b/pandas/core/indexes/datetimes.py
index 23ced8987d8ac..1c24a566b13a2 100644
--- a/pandas/core/indexes/datetimes.py
+++ b/pandas/core/indexes/datetimes.py
@@ -5,7 +5,14 @@
import numpy as np
-from pandas._libs import NaT, Timestamp, index as libindex, lib, tslib as libts
+from pandas._libs import (
+ NaT,
+ Timedelta,
+ Timestamp,
+ index as libindex,
+ lib,
+ tslib as libts,
+)
from pandas._libs.tslibs import ccalendar, fields, parsing, timezones
from pandas.util._decorators import Appender, Substitution, cache_readonly
@@ -31,7 +38,7 @@
import pandas.core.tools.datetimes as tools
from pandas.tseries.frequencies import Resolution, to_offset
-from pandas.tseries.offsets import Nano, prefix_mapping
+from pandas.tseries.offsets import prefix_mapping
def _new_DatetimeIndex(cls, d):
@@ -519,27 +526,27 @@ def _parsed_string_to_bounds(self, reso, parsed):
raise KeyError
if reso == "year":
start = Timestamp(parsed.year, 1, 1)
- end = Timestamp(parsed.year, 12, 31, 23, 59, 59, 999999)
+ end = Timestamp(parsed.year + 1, 1, 1) - Timedelta(nanoseconds=1)
elif reso == "month":
d = ccalendar.get_days_in_month(parsed.year, parsed.month)
start = Timestamp(parsed.year, parsed.month, 1)
- end = Timestamp(parsed.year, parsed.month, d, 23, 59, 59, 999999)
+ end = start + Timedelta(days=d, nanoseconds=-1)
elif reso == "quarter":
qe = (((parsed.month - 1) + 2) % 12) + 1 # two months ahead
d = ccalendar.get_days_in_month(parsed.year, qe) # at end of month
start = Timestamp(parsed.year, parsed.month, 1)
- end = Timestamp(parsed.year, qe, d, 23, 59, 59, 999999)
+ end = Timestamp(parsed.year, qe, 1) + Timedelta(days=d, nanoseconds=-1)
elif reso == "day":
start = Timestamp(parsed.year, parsed.month, parsed.day)
- end = start + timedelta(days=1) - Nano(1)
+ end = start + Timedelta(days=1, nanoseconds=-1)
elif reso == "hour":
start = Timestamp(parsed.year, parsed.month, parsed.day, parsed.hour)
- end = start + timedelta(hours=1) - Nano(1)
+ end = start + Timedelta(hours=1, nanoseconds=-1)
elif reso == "minute":
start = Timestamp(
parsed.year, parsed.month, parsed.day, parsed.hour, parsed.minute
)
- end = start + timedelta(minutes=1) - Nano(1)
+ end = start + Timedelta(minutes=1, nanoseconds=-1)
elif reso == "second":
start = Timestamp(
parsed.year,
@@ -549,7 +556,7 @@ def _parsed_string_to_bounds(self, reso, parsed):
parsed.minute,
parsed.second,
)
- end = start + timedelta(seconds=1) - Nano(1)
+ end = start + Timedelta(seconds=1, nanoseconds=-1)
elif reso == "microsecond":
start = Timestamp(
parsed.year,
@@ -560,7 +567,7 @@ def _parsed_string_to_bounds(self, reso, parsed):
parsed.second,
parsed.microsecond,
)
- end = start + timedelta(microseconds=1) - Nano(1)
+ end = start + Timedelta(microseconds=1, nanoseconds=-1)
# GH 24076
# If an incoming date string contained a UTC offset, need to localize
# the parsed date to this offset first before aligning with the index's
diff --git a/pandas/tests/indexes/datetimes/test_partial_slicing.py b/pandas/tests/indexes/datetimes/test_partial_slicing.py
index e30cc4449e01e..946d658e90132 100644
--- a/pandas/tests/indexes/datetimes/test_partial_slicing.py
+++ b/pandas/tests/indexes/datetimes/test_partial_slicing.py
@@ -142,6 +142,26 @@ def test_slice_year(self):
expected = slice(3288, 3653)
assert result == expected
+ @pytest.mark.parametrize(
+ "partial_dtime",
+ [
+ "2019",
+ "2019Q4",
+ "Dec 2019",
+ "2019-12-31",
+ "2019-12-31 23",
+ "2019-12-31 23:59",
+ ],
+ )
+ def test_slice_end_of_period_resolution(self, partial_dtime):
+ # GH#31064
+ dti = date_range("2019-12-31 23:59:55.999999999", periods=10, freq="s")
+
+ ser = pd.Series(range(10), index=dti)
+ result = ser[partial_dtime]
+ expected = ser.iloc[:5]
+ tm.assert_series_equal(result, expected)
+
def test_slice_quarter(self):
dti = date_range(freq="D", start=datetime(2000, 6, 1), periods=500)
| I'm fairly confident we can refactor this to be a lot less verbose, but will do that separately from the bugfix.
- [ ] closes #xxxx
- [x] tests added / passed
- [x] passes `black pandas`
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [x] whatsnew entry
| https://api.github.com/repos/pandas-dev/pandas/pulls/31064 | 2020-01-16T04:33:04Z | 2020-01-18T15:56:37Z | 2020-01-18T15:56:36Z | 2020-01-18T16:20:56Z |
TYP/CLN: Replaced "Optional[Hashable]" with "Label" from pandas._typing | diff --git a/pandas/core/generic.py b/pandas/core/generic.py
index 0c413cd473bbc..b73f129fbda8e 100644
--- a/pandas/core/generic.py
+++ b/pandas/core/generic.py
@@ -37,6 +37,7 @@
FilePathOrBuffer,
FrameOrSeries,
JSONSerializable,
+ Label,
Level,
Renamer,
)
@@ -3009,10 +3010,10 @@ def to_csv(
sep: str = ",",
na_rep: str = "",
float_format: Optional[str] = None,
- columns: Optional[Sequence[Optional[Hashable]]] = None,
+ columns: Optional[Sequence[Label]] = None,
header: Union[bool_t, List[str]] = True,
index: bool_t = True,
- index_label: Optional[Union[bool_t, str, Sequence[Optional[Hashable]]]] = None,
+ index_label: Optional[Union[bool_t, str, Sequence[Label]]] = None,
mode: str = "w",
encoding: Optional[str] = None,
compression: Optional[Union[str, Mapping[str, str]]] = "infer",
| - [ ] closes #xxxx
- [x] tests added / passed
- [x] passes `black pandas`
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [ ] whatsnew entry
| https://api.github.com/repos/pandas-dev/pandas/pulls/31062 | 2020-01-16T03:45:13Z | 2020-01-16T10:26:01Z | 2020-01-16T10:26:01Z | 2020-01-16T14:58:49Z |
CLN: Replace Appender and Substitution with simpler doc decorator | diff --git a/doc/source/development/contributing_docstring.rst b/doc/source/development/contributing_docstring.rst
index 649dd37b497b2..1c99b341f6c5a 100644
--- a/doc/source/development/contributing_docstring.rst
+++ b/doc/source/development/contributing_docstring.rst
@@ -937,33 +937,31 @@ classes. This helps us keep docstrings consistent, while keeping things clear
for the user reading. It comes at the cost of some complexity when writing.
Each shared docstring will have a base template with variables, like
-``%(klass)s``. The variables filled in later on using the ``Substitution``
-decorator. Finally, docstrings can be appended to with the ``Appender``
-decorator.
+``{klass}``. The variables filled in later on using the ``doc`` decorator.
+Finally, docstrings can also be appended to with the ``doc`` decorator.
In this example, we'll create a parent docstring normally (this is like
``pandas.core.generic.NDFrame``. Then we'll have two children (like
``pandas.core.series.Series`` and ``pandas.core.frame.DataFrame``). We'll
-substitute the children's class names in this docstring.
+substitute the class names in this docstring.
.. code-block:: python
class Parent:
+ @doc(klass="Parent")
def my_function(self):
- """Apply my function to %(klass)s."""
+ """Apply my function to {klass}."""
...
class ChildA(Parent):
- @Substitution(klass="ChildA")
- @Appender(Parent.my_function.__doc__)
+ @doc(Parent.my_function, klass="ChildA")
def my_function(self):
...
class ChildB(Parent):
- @Substitution(klass="ChildB")
- @Appender(Parent.my_function.__doc__)
+ @doc(Parent.my_function, klass="ChildB")
def my_function(self):
...
@@ -972,18 +970,16 @@ The resulting docstrings are
.. code-block:: python
>>> print(Parent.my_function.__doc__)
- Apply my function to %(klass)s.
+ Apply my function to Parent.
>>> print(ChildA.my_function.__doc__)
Apply my function to ChildA.
>>> print(ChildB.my_function.__doc__)
Apply my function to ChildB.
-Notice two things:
+Notice:
1. We "append" the parent docstring to the children docstrings, which are
initially empty.
-2. Python decorators are applied inside out. So the order is Append then
- Substitution, even though Substitution comes first in the file.
Our files will often contain a module-level ``_shared_doc_kwargs`` with some
common substitution values (things like ``klass``, ``axes``, etc).
@@ -992,14 +988,13 @@ You can substitute and append in one shot with something like
.. code-block:: python
- @Appender(template % _shared_doc_kwargs)
+ @doc(template, **_shared_doc_kwargs)
def my_function(self):
...
where ``template`` may come from a module-level ``_shared_docs`` dictionary
mapping function names to docstrings. Wherever possible, we prefer using
-``Appender`` and ``Substitution``, since the docstring-writing processes is
-slightly closer to normal.
+``doc``, since the docstring-writing processes is slightly closer to normal.
See ``pandas.core.generic.NDFrame.fillna`` for an example template, and
``pandas.core.series.Series.fillna`` and ``pandas.core.generic.frame.fillna``
diff --git a/pandas/core/accessor.py b/pandas/core/accessor.py
index a04e9c3e68310..4e3ef0c52bbdd 100644
--- a/pandas/core/accessor.py
+++ b/pandas/core/accessor.py
@@ -7,7 +7,7 @@
from typing import FrozenSet, Set
import warnings
-from pandas.util._decorators import Appender
+from pandas.util._decorators import doc
class DirNamesMixin:
@@ -193,98 +193,97 @@ def __get__(self, obj, cls):
return accessor_obj
+@doc(klass="", others="")
def _register_accessor(name, cls):
- def decorator(accessor):
- if hasattr(cls, name):
- warnings.warn(
- f"registration of accessor {repr(accessor)} under name "
- f"{repr(name)} for type {repr(cls)} is overriding a preexisting"
- f"attribute with the same name.",
- UserWarning,
- stacklevel=2,
- )
- setattr(cls, name, CachedAccessor(name, accessor))
- cls._accessors.add(name)
- return accessor
-
- return decorator
+ """
+ Register a custom accessor on {klass} objects.
+ Parameters
+ ----------
+ name : str
+ Name under which the accessor should be registered. A warning is issued
+ if this name conflicts with a preexisting attribute.
-_doc = """
-Register a custom accessor on %(klass)s objects.
+ Returns
+ -------
+ callable
+ A class decorator.
-Parameters
-----------
-name : str
- Name under which the accessor should be registered. A warning is issued
- if this name conflicts with a preexisting attribute.
+ See Also
+ --------
+ {others}
-Returns
--------
-callable
- A class decorator.
+ Notes
+ -----
+ When accessed, your accessor will be initialized with the pandas object
+ the user is interacting with. So the signature must be
-See Also
---------
-%(others)s
+ .. code-block:: python
-Notes
------
-When accessed, your accessor will be initialized with the pandas object
-the user is interacting with. So the signature must be
+ def __init__(self, pandas_object): # noqa: E999
+ ...
-.. code-block:: python
+ For consistency with pandas methods, you should raise an ``AttributeError``
+ if the data passed to your accessor has an incorrect dtype.
- def __init__(self, pandas_object): # noqa: E999
- ...
+ >>> pd.Series(['a', 'b']).dt
+ Traceback (most recent call last):
+ ...
+ AttributeError: Can only use .dt accessor with datetimelike values
-For consistency with pandas methods, you should raise an ``AttributeError``
-if the data passed to your accessor has an incorrect dtype.
+ Examples
+ --------
->>> pd.Series(['a', 'b']).dt
-Traceback (most recent call last):
-...
-AttributeError: Can only use .dt accessor with datetimelike values
+ In your library code::
-Examples
---------
+ import pandas as pd
-In your library code::
+ @pd.api.extensions.register_dataframe_accessor("geo")
+ class GeoAccessor:
+ def __init__(self, pandas_obj):
+ self._obj = pandas_obj
- import pandas as pd
+ @property
+ def center(self):
+ # return the geographic center point of this DataFrame
+ lat = self._obj.latitude
+ lon = self._obj.longitude
+ return (float(lon.mean()), float(lat.mean()))
- @pd.api.extensions.register_dataframe_accessor("geo")
- class GeoAccessor:
- def __init__(self, pandas_obj):
- self._obj = pandas_obj
+ def plot(self):
+ # plot this array's data on a map, e.g., using Cartopy
+ pass
- @property
- def center(self):
- # return the geographic center point of this DataFrame
- lat = self._obj.latitude
- lon = self._obj.longitude
- return (float(lon.mean()), float(lat.mean()))
+ Back in an interactive IPython session:
- def plot(self):
- # plot this array's data on a map, e.g., using Cartopy
- pass
+ >>> ds = pd.DataFrame({{'longitude': np.linspace(0, 10),
+ ... 'latitude': np.linspace(0, 20)}})
+ >>> ds.geo.center
+ (5.0, 10.0)
+ >>> ds.geo.plot()
+ # plots data on a map
+ """
-Back in an interactive IPython session:
+ def decorator(accessor):
+ if hasattr(cls, name):
+ warnings.warn(
+ f"registration of accessor {repr(accessor)} under name "
+ f"{repr(name)} for type {repr(cls)} is overriding a preexisting"
+ f"attribute with the same name.",
+ UserWarning,
+ stacklevel=2,
+ )
+ setattr(cls, name, CachedAccessor(name, accessor))
+ cls._accessors.add(name)
+ return accessor
- >>> ds = pd.DataFrame({'longitude': np.linspace(0, 10),
- ... 'latitude': np.linspace(0, 20)})
- >>> ds.geo.center
- (5.0, 10.0)
- >>> ds.geo.plot()
- # plots data on a map
-"""
+ return decorator
-@Appender(
- _doc
- % dict(
- klass="DataFrame", others=("register_series_accessor, register_index_accessor")
- )
+@doc(
+ _register_accessor,
+ klass="DataFrame",
+ others="register_series_accessor, register_index_accessor",
)
def register_dataframe_accessor(name):
from pandas import DataFrame
@@ -292,11 +291,10 @@ def register_dataframe_accessor(name):
return _register_accessor(name, DataFrame)
-@Appender(
- _doc
- % dict(
- klass="Series", others=("register_dataframe_accessor, register_index_accessor")
- )
+@doc(
+ _register_accessor,
+ klass="Series",
+ others="register_dataframe_accessor, register_index_accessor",
)
def register_series_accessor(name):
from pandas import Series
@@ -304,11 +302,10 @@ def register_series_accessor(name):
return _register_accessor(name, Series)
-@Appender(
- _doc
- % dict(
- klass="Index", others=("register_dataframe_accessor, register_series_accessor")
- )
+@doc(
+ _register_accessor,
+ klass="Index",
+ others="register_dataframe_accessor, register_series_accessor",
)
def register_index_accessor(name):
from pandas import Index
diff --git a/pandas/core/algorithms.py b/pandas/core/algorithms.py
index 886b0a3c5fec1..c915895a8fc4a 100644
--- a/pandas/core/algorithms.py
+++ b/pandas/core/algorithms.py
@@ -11,7 +11,7 @@
from pandas._libs import Timestamp, algos, hashtable as htable, lib
from pandas._libs.tslib import iNaT
-from pandas.util._decorators import Appender, Substitution
+from pandas.util._decorators import doc
from pandas.core.dtypes.cast import (
construct_1d_object_array_from_listlike,
@@ -487,9 +487,32 @@ def _factorize_array(
return codes, uniques
-_shared_docs[
- "factorize"
-] = """
+@doc(
+ values=dedent(
+ """\
+ values : sequence
+ A 1-D sequence. Sequences that aren't pandas objects are
+ coerced to ndarrays before factorization.
+ """
+ ),
+ sort=dedent(
+ """\
+ sort : bool, default False
+ Sort `uniques` and shuffle `codes` to maintain the
+ relationship.
+ """
+ ),
+ size_hint=dedent(
+ """\
+ size_hint : int, optional
+ Hint to the hashtable sizer.
+ """
+ ),
+)
+def factorize(
+ values, sort: bool = False, na_sentinel: int = -1, size_hint: Optional[int] = None
+) -> Tuple[np.ndarray, Union[np.ndarray, ABCIndex]]:
+ """
Encode the object as an enumerated type or categorical variable.
This method is useful for obtaining a numeric representation of an
@@ -499,10 +522,10 @@ def _factorize_array(
Parameters
----------
- %(values)s%(sort)s
+ {values}{sort}
na_sentinel : int, default -1
Value to mark "not found".
- %(size_hint)s\
+ {size_hint}\
Returns
-------
@@ -580,34 +603,6 @@ def _factorize_array(
>>> uniques
Index(['a', 'c'], dtype='object')
"""
-
-
-@Substitution(
- values=dedent(
- """\
- values : sequence
- A 1-D sequence. Sequences that aren't pandas objects are
- coerced to ndarrays before factorization.
- """
- ),
- sort=dedent(
- """\
- sort : bool, default False
- Sort `uniques` and shuffle `codes` to maintain the
- relationship.
- """
- ),
- size_hint=dedent(
- """\
- size_hint : int, optional
- Hint to the hashtable sizer.
- """
- ),
-)
-@Appender(_shared_docs["factorize"])
-def factorize(
- values, sort: bool = False, na_sentinel: int = -1, size_hint: Optional[int] = None
-) -> Tuple[np.ndarray, Union[np.ndarray, ABCIndex]]:
# Implementation notes: This method is responsible for 3 things
# 1.) coercing data to array-like (ndarray, Index, extension array)
# 2.) factorizing codes and uniques
diff --git a/pandas/core/base.py b/pandas/core/base.py
index f3c8b50e774af..56d3596f71813 100644
--- a/pandas/core/base.py
+++ b/pandas/core/base.py
@@ -13,7 +13,7 @@
from pandas.compat import PYPY
from pandas.compat.numpy import function as nv
from pandas.errors import AbstractMethodError
-from pandas.util._decorators import Appender, Substitution, cache_readonly
+from pandas.util._decorators import Appender, Substitution, cache_readonly, doc
from pandas.util._validators import validate_bool_kwarg
from pandas.core.dtypes.cast import is_nested_object
@@ -1386,7 +1386,8 @@ def memory_usage(self, deep=False):
v += lib.memory_usage_of_objects(self.array)
return v
- @Substitution(
+ @doc(
+ algorithms.factorize,
values="",
order="",
size_hint="",
@@ -1398,7 +1399,6 @@ def memory_usage(self, deep=False):
"""
),
)
- @Appender(algorithms._shared_docs["factorize"])
def factorize(self, sort=False, na_sentinel=-1):
return algorithms.factorize(self, sort=sort, na_sentinel=na_sentinel)
diff --git a/pandas/core/frame.py b/pandas/core/frame.py
index e0efa93379bca..234bf356dc26b 100644
--- a/pandas/core/frame.py
+++ b/pandas/core/frame.py
@@ -49,6 +49,7 @@
Appender,
Substitution,
deprecate_kwarg,
+ doc,
rewrite_axis_style_signature,
)
from pandas.util._validators import (
@@ -4164,8 +4165,7 @@ def rename(
errors=errors,
)
- @Substitution(**_shared_doc_kwargs)
- @Appender(NDFrame.fillna.__doc__)
+ @doc(NDFrame.fillna, **_shared_doc_kwargs)
def fillna(
self,
value=None,
diff --git a/pandas/core/generic.py b/pandas/core/generic.py
index 313d40b575629..93c0965f5bed9 100644
--- a/pandas/core/generic.py
+++ b/pandas/core/generic.py
@@ -45,7 +45,12 @@
from pandas.compat._optional import import_optional_dependency
from pandas.compat.numpy import function as nv
from pandas.errors import AbstractMethodError
-from pandas.util._decorators import Appender, Substitution, rewrite_axis_style_signature
+from pandas.util._decorators import (
+ Appender,
+ Substitution,
+ doc,
+ rewrite_axis_style_signature,
+)
from pandas.util._validators import (
validate_bool_kwarg,
validate_fillna_kwargs,
@@ -5879,6 +5884,7 @@ def convert_dtypes(
# ----------------------------------------------------------------------
# Filling NA's
+ @doc(**_shared_doc_kwargs)
def fillna(
self: FrameOrSeries,
value=None,
@@ -5899,11 +5905,11 @@ def fillna(
each index (for a Series) or column (for a DataFrame). Values not
in the dict/Series/DataFrame will not be filled. This value cannot
be a list.
- method : {'backfill', 'bfill', 'pad', 'ffill', None}, default None
+ method : {{'backfill', 'bfill', 'pad', 'ffill', None}}, default None
Method to use for filling holes in reindexed Series
pad / ffill: propagate last valid observation forward to next valid
backfill / bfill: use next valid observation to fill gap.
- axis : %(axes_single_arg)s
+ axis : {axes_single_arg}
Axis along which to fill missing values.
inplace : bool, default False
If True, fill in-place. Note: this will modify any
@@ -5923,7 +5929,7 @@ def fillna(
Returns
-------
- %(klass)s or None
+ {klass} or None
Object with missing values filled or None if ``inplace=True``.
See Also
@@ -5967,7 +5973,7 @@ def fillna(
Replace all NaN elements in column 'A', 'B', 'C', and 'D', with 0, 1,
2, and 3 respectively.
- >>> values = {'A': 0, 'B': 1, 'C': 2, 'D': 3}
+ >>> values = {{'A': 0, 'B': 1, 'C': 2, 'D': 3}}
>>> df.fillna(value=values)
A B C D
0 0.0 2.0 2.0 0
diff --git a/pandas/core/series.py b/pandas/core/series.py
index 0786674daf874..09579a846a5c6 100644
--- a/pandas/core/series.py
+++ b/pandas/core/series.py
@@ -25,7 +25,7 @@
from pandas._libs import lib, properties, reshape, tslibs
from pandas._typing import Label
from pandas.compat.numpy import function as nv
-from pandas.util._decorators import Appender, Substitution
+from pandas.util._decorators import Appender, Substitution, doc
from pandas.util._validators import validate_bool_kwarg, validate_percentile
from pandas.core.dtypes.cast import convert_dtypes, validate_numeric_casting
@@ -73,6 +73,7 @@
is_empty_data,
sanitize_array,
)
+from pandas.core.generic import NDFrame
from pandas.core.indexers import maybe_convert_indices
from pandas.core.indexes.accessors import CombinedDatetimelikeProperties
from pandas.core.indexes.api import (
@@ -4142,8 +4143,7 @@ def drop(
errors=errors,
)
- @Substitution(**_shared_doc_kwargs)
- @Appender(generic.NDFrame.fillna.__doc__)
+ @doc(NDFrame.fillna, **_shared_doc_kwargs)
def fillna(
self,
value=None,
diff --git a/pandas/tests/util/test_doc.py b/pandas/tests/util/test_doc.py
new file mode 100644
index 0000000000000..7e5e24456b9a7
--- /dev/null
+++ b/pandas/tests/util/test_doc.py
@@ -0,0 +1,88 @@
+from textwrap import dedent
+
+from pandas.util._decorators import doc
+
+
+@doc(method="cumsum", operation="sum")
+def cumsum(whatever):
+ """
+ This is the {method} method.
+
+ It computes the cumulative {operation}.
+ """
+
+
+@doc(
+ cumsum,
+ """
+ Examples
+ --------
+
+ >>> cumavg([1, 2, 3])
+ 2
+ """,
+ method="cumavg",
+ operation="average",
+)
+def cumavg(whatever):
+ pass
+
+
+@doc(cumsum, method="cummax", operation="maximum")
+def cummax(whatever):
+ pass
+
+
+@doc(cummax, method="cummin", operation="minimum")
+def cummin(whatever):
+ pass
+
+
+def test_docstring_formatting():
+ docstr = dedent(
+ """
+ This is the cumsum method.
+
+ It computes the cumulative sum.
+ """
+ )
+ assert cumsum.__doc__ == docstr
+
+
+def test_docstring_appending():
+ docstr = dedent(
+ """
+ This is the cumavg method.
+
+ It computes the cumulative average.
+
+ Examples
+ --------
+
+ >>> cumavg([1, 2, 3])
+ 2
+ """
+ )
+ assert cumavg.__doc__ == docstr
+
+
+def test_doc_template_from_func():
+ docstr = dedent(
+ """
+ This is the cummax method.
+
+ It computes the cumulative maximum.
+ """
+ )
+ assert cummax.__doc__ == docstr
+
+
+def test_inherit_doc_template():
+ docstr = dedent(
+ """
+ This is the cummin method.
+
+ It computes the cumulative minimum.
+ """
+ )
+ assert cummin.__doc__ == docstr
diff --git a/pandas/util/_decorators.py b/pandas/util/_decorators.py
index 0aab5a9c4113d..05f73a126feca 100644
--- a/pandas/util/_decorators.py
+++ b/pandas/util/_decorators.py
@@ -247,6 +247,46 @@ def wrapper(*args, **kwargs) -> Callable[..., Any]:
return decorate
+def doc(*args: Union[str, Callable], **kwargs: str) -> Callable[[F], F]:
+ """
+ A decorator take docstring templates, concatenate them and perform string
+ substitution on it.
+
+ This decorator is robust even if func.__doc__ is None. This decorator will
+ add a variable "_docstr_template" to the wrapped function to save original
+ docstring template for potential usage.
+
+ Parameters
+ ----------
+ *args : str or callable
+ The string / docstring / docstring template to be appended in order
+ after default docstring under function.
+ **kwags : str
+ The string which would be used to format docstring template.
+ """
+
+ def decorator(func: F) -> F:
+ @wraps(func)
+ def wrapper(*args, **kwargs) -> Callable:
+ return func(*args, **kwargs)
+
+ templates = [func.__doc__ if func.__doc__ else ""]
+ for arg in args:
+ if isinstance(arg, str):
+ templates.append(arg)
+ elif hasattr(arg, "_docstr_template"):
+ templates.append(arg._docstr_template) # type: ignore
+ elif arg.__doc__:
+ templates.append(arg.__doc__)
+
+ wrapper._docstr_template = "".join(dedent(t) for t in templates) # type: ignore
+ wrapper.__doc__ = wrapper._docstr_template.format(**kwargs) # type: ignore
+
+ return cast(F, wrapper)
+
+ return decorator
+
+
# Substitution and Appender are derived from matplotlib.docstring (1.1.0)
# module https://matplotlib.org/users/license.html
| - [X] closes #30933
- [x] tests added / passed
- [X] passes `black pandas`
- [X] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [x] whatsnew entry
A new decorator to handle docstring formatting. There is also an update for an existing case to show how it works. | https://api.github.com/repos/pandas-dev/pandas/pulls/31060 | 2020-01-16T02:13:33Z | 2020-02-12T16:01:46Z | 2020-02-12T16:01:46Z | 2020-02-13T01:39:28Z |
CLN: Removed unused varibles from for loops | diff --git a/pandas/io/sas/sas.pyx b/pandas/io/sas/sas.pyx
index 211935009d2e5..b4f8eeb3d226d 100644
--- a/pandas/io/sas/sas.pyx
+++ b/pandas/io/sas/sas.pyx
@@ -33,7 +33,7 @@ cdef const uint8_t[:] rle_decompress(int result_length,
raise ValueError("Unexpected non-zero end_of_first_byte")
nbytes = <int>(inbuff[ipos]) + 64
ipos += 1
- for i in range(nbytes):
+ for _ in range(nbytes):
result[rpos] = inbuff[ipos]
rpos += 1
ipos += 1
@@ -42,20 +42,20 @@ cdef const uint8_t[:] rle_decompress(int result_length,
nbytes = end_of_first_byte * 16
nbytes += <int>(inbuff[ipos])
ipos += 1
- for i in range(nbytes):
+ for _ in range(nbytes):
result[rpos] = inbuff[ipos]
rpos += 1
ipos += 1
elif control_byte == 0x60:
nbytes = end_of_first_byte * 256 + <int>(inbuff[ipos]) + 17
ipos += 1
- for i in range(nbytes):
+ for _ in range(nbytes):
result[rpos] = 0x20
rpos += 1
elif control_byte == 0x70:
nbytes = end_of_first_byte * 256 + <int>(inbuff[ipos]) + 17
ipos += 1
- for i in range(nbytes):
+ for _ in range(nbytes):
result[rpos] = 0x00
rpos += 1
elif control_byte == 0x80:
@@ -86,22 +86,22 @@ cdef const uint8_t[:] rle_decompress(int result_length,
nbytes = end_of_first_byte + 3
x = inbuff[ipos]
ipos += 1
- for i in range(nbytes):
+ for _ in range(nbytes):
result[rpos] = x
rpos += 1
elif control_byte == 0xD0:
nbytes = end_of_first_byte + 2
- for i in range(nbytes):
+ for _ in range(nbytes):
result[rpos] = 0x40
rpos += 1
elif control_byte == 0xE0:
nbytes = end_of_first_byte + 2
- for i in range(nbytes):
+ for _ in range(nbytes):
result[rpos] = 0x20
rpos += 1
elif control_byte == 0xF0:
nbytes = end_of_first_byte + 2
- for i in range(nbytes):
+ for _ in range(nbytes):
result[rpos] = 0x00
rpos += 1
else:
@@ -289,7 +289,7 @@ cdef class Parser:
bint done
int i
- for i in range(nrows):
+ for _ in range(nrows):
done = self.readline()
if done:
break
| - [ ] closes #xxxx
- [ ] tests added / passed
- [x] passes `black pandas`
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [ ] whatsnew entry
| https://api.github.com/repos/pandas-dev/pandas/pulls/31059 | 2020-01-16T01:46:28Z | 2020-01-16T16:19:00Z | 2020-01-16T16:19:00Z | 2020-01-16T18:42:41Z |
REF: use _get_string_slice in PeriodIndex.get_value | diff --git a/pandas/core/indexes/period.py b/pandas/core/indexes/period.py
index 9d501b2601c09..b3386f6104032 100644
--- a/pandas/core/indexes/period.py
+++ b/pandas/core/indexes/period.py
@@ -483,25 +483,20 @@ def get_value(self, series, key):
return series.iat[key]
if isinstance(key, str):
+ try:
+ loc = self._get_string_slice(key)
+ return series[loc]
+ except (TypeError, ValueError):
+ pass
+
asdt, reso = parse_time_string(key, self.freq)
grp = resolution.Resolution.get_freq_group(reso)
freqn = resolution.get_freq_group(self.freq)
- vals = self._ndarray_values
-
- # if our data is higher resolution than requested key, slice
- if grp < freqn:
- iv = Period(asdt, freq=(grp, 1))
- ord1 = iv.asfreq(self.freq, how="S").ordinal
- ord2 = iv.asfreq(self.freq, how="E").ordinal
+ # _get_string_slice will handle cases where grp < freqn
+ assert grp >= freqn
- if ord2 < vals[0] or ord1 > vals[-1]:
- raise KeyError(key)
-
- pos = np.searchsorted(self._ndarray_values, [ord1, ord2])
- key = slice(pos[0], pos[1] + 1)
- return series[key]
- elif grp == freqn:
+ if grp == freqn:
key = Period(asdt, freq=self.freq)
loc = self.get_loc(key)
return series.iloc[loc]
@@ -643,61 +638,39 @@ def _maybe_cast_slice_bound(self, label, side, kind):
return label
- def _parsed_string_to_bounds(self, reso, parsed):
- if reso == "year":
- t1 = Period(year=parsed.year, freq="A")
- elif reso == "month":
- t1 = Period(year=parsed.year, month=parsed.month, freq="M")
- elif reso == "quarter":
- q = (parsed.month - 1) // 3 + 1
- t1 = Period(year=parsed.year, quarter=q, freq="Q-DEC")
- elif reso == "day":
- t1 = Period(year=parsed.year, month=parsed.month, day=parsed.day, freq="D")
- elif reso == "hour":
- t1 = Period(
- year=parsed.year,
- month=parsed.month,
- day=parsed.day,
- hour=parsed.hour,
- freq="H",
- )
- elif reso == "minute":
- t1 = Period(
- year=parsed.year,
- month=parsed.month,
- day=parsed.day,
- hour=parsed.hour,
- minute=parsed.minute,
- freq="T",
- )
- elif reso == "second":
- t1 = Period(
- year=parsed.year,
- month=parsed.month,
- day=parsed.day,
- hour=parsed.hour,
- minute=parsed.minute,
- second=parsed.second,
- freq="S",
- )
- else:
+ def _parsed_string_to_bounds(self, reso: str, parsed: datetime):
+ if reso not in ["year", "month", "quarter", "day", "hour", "minute", "second"]:
raise KeyError(reso)
- return (t1.asfreq(self.freq, how="start"), t1.asfreq(self.freq, how="end"))
+
+ grp = resolution.Resolution.get_freq_group(reso)
+ iv = Period(parsed, freq=(grp, 1))
+ return (iv.asfreq(self.freq, how="start"), iv.asfreq(self.freq, how="end"))
def _get_string_slice(self, key: str, use_lhs: bool = True, use_rhs: bool = True):
# TODO: Check for non-True use_lhs/use_rhs
+ raw = key
if not self.is_monotonic:
raise ValueError("Partial indexing only valid for ordered time series")
parsed, reso = parse_time_string(key, self.freq)
grp = resolution.Resolution.get_freq_group(reso)
freqn = resolution.get_freq_group(self.freq)
- if reso in ["day", "hour", "minute", "second"] and not grp < freqn:
- raise KeyError(key)
+
+ if not grp < freqn:
+ # TODO: we used to also check for
+ # reso in ["day", "hour", "minute", "second"]
+ # why is that check not needed?
+ raise TypeError(key)
t1, t2 = self._parsed_string_to_bounds(reso, parsed)
+ if len(self):
+ if t2 < self.min() or t1 > self.max():
+ raise KeyError(raw)
+
+ # Use asi8 searchsorted to avoid overhead of re-validating inputs
return slice(
- self.searchsorted(t1, side="left"), self.searchsorted(t2, side="right")
+ self.asi8.searchsorted(t1.ordinal, side="left"),
+ self.asi8.searchsorted(t2.ordinal, side="right"),
)
def _convert_tolerance(self, tolerance, target):
| Most of _get_string_slice is duplicated inside PeriodIndex.get_value, which likely explains why get_string_slice has almost no test [coverage](https://codecov.io/gh/pandas-dev/pandas/src/master/pandas/core/indexes/period.py#L715). This also brings PeriodIndex.get_value into closer alignment with DatetimeIndex.get_value, so we may be able to share code a few steps from here.
| https://api.github.com/repos/pandas-dev/pandas/pulls/31058 | 2020-01-16T01:19:55Z | 2020-01-20T19:53:19Z | 2020-01-20T19:53:19Z | 2020-01-20T19:54:42Z |
Split out JSON Date Converters | diff --git a/pandas/_libs/src/ujson/python/date_conversions.c b/pandas/_libs/src/ujson/python/date_conversions.c
new file mode 100644
index 0000000000000..fc4bdef8463af
--- /dev/null
+++ b/pandas/_libs/src/ujson/python/date_conversions.c
@@ -0,0 +1,118 @@
+// Conversion routines that are useful for serialization,
+// but which don't interact with JSON objects directly
+
+#include "date_conversions.h"
+#include <../../../tslibs/src/datetime/np_datetime.h>
+#include <../../../tslibs/src/datetime/np_datetime_strings.h>
+
+/*
+ * Function: scaleNanosecToUnit
+ * -----------------------------
+ *
+ * Scales an integer value representing time in nanoseconds to provided unit.
+ *
+ * Mutates the provided value directly. Returns 0 on success, non-zero on error.
+ */
+int scaleNanosecToUnit(npy_int64 *value, NPY_DATETIMEUNIT unit) {
+ switch (unit) {
+ case NPY_FR_ns:
+ break;
+ case NPY_FR_us:
+ *value /= 1000LL;
+ break;
+ case NPY_FR_ms:
+ *value /= 1000000LL;
+ break;
+ case NPY_FR_s:
+ *value /= 1000000000LL;
+ break;
+ default:
+ return -1;
+ }
+
+ return 0;
+}
+
+/* Converts the int64_t representation of a datetime to ISO; mutates len */
+char *int64ToIso(int64_t value, NPY_DATETIMEUNIT base, size_t *len) {
+ npy_datetimestruct dts;
+ int ret_code;
+
+ pandas_datetime_to_datetimestruct(value, NPY_FR_ns, &dts);
+
+ *len = (size_t)get_datetime_iso_8601_strlen(0, base);
+ char *result = PyObject_Malloc(*len);
+
+ if (result == NULL) {
+ PyErr_NoMemory();
+ return NULL;
+ }
+
+ ret_code = make_iso_8601_datetime(&dts, result, *len, base);
+ if (ret_code != 0) {
+ PyErr_SetString(PyExc_ValueError,
+ "Could not convert datetime value to string");
+ PyObject_Free(result);
+ }
+
+ // Note that get_datetime_iso_8601_strlen just gives a generic size
+ // for ISO string conversion, not the actual size used
+ *len = strlen(result);
+ return result;
+}
+
+npy_datetime NpyDateTimeToEpoch(npy_datetime dt, NPY_DATETIMEUNIT base) {
+ scaleNanosecToUnit(&dt, base);
+ return dt;
+}
+
+/* Convert PyDatetime To ISO C-string. mutates len */
+char *PyDateTimeToIso(PyDateTime_Date *obj, NPY_DATETIMEUNIT base,
+ size_t *len) {
+ npy_datetimestruct dts;
+ int ret;
+
+ ret = convert_pydatetime_to_datetimestruct(obj, &dts);
+ if (ret != 0) {
+ if (!PyErr_Occurred()) {
+ PyErr_SetString(PyExc_ValueError,
+ "Could not convert PyDateTime to numpy datetime");
+ }
+ return NULL;
+ }
+
+ *len = (size_t)get_datetime_iso_8601_strlen(0, base);
+ char *result = PyObject_Malloc(*len);
+ ret = make_iso_8601_datetime(&dts, result, *len, base);
+
+ if (ret != 0) {
+ PyErr_SetString(PyExc_ValueError,
+ "Could not convert datetime value to string");
+ PyObject_Free(result);
+ return NULL;
+ }
+
+ // Note that get_datetime_iso_8601_strlen just gives a generic size
+ // for ISO string conversion, not the actual size used
+ *len = strlen(result);
+ return result;
+}
+
+npy_datetime PyDateTimeToEpoch(PyDateTime_Date *dt, NPY_DATETIMEUNIT base) {
+ npy_datetimestruct dts;
+ int ret;
+
+ ret = convert_pydatetime_to_datetimestruct(dt, &dts);
+ if (ret != 0) {
+ if (!PyErr_Occurred()) {
+ PyErr_SetString(PyExc_ValueError,
+ "Could not convert PyDateTime to numpy datetime");
+ }
+ // TODO: is setting errMsg required?
+ //((JSONObjectEncoder *)tc->encoder)->errorMsg = "";
+ // return NULL;
+ }
+
+ npy_datetime npy_dt = npy_datetimestruct_to_datetime(NPY_FR_ns, &dts);
+ return NpyDateTimeToEpoch(npy_dt, base);
+}
diff --git a/pandas/_libs/src/ujson/python/date_conversions.h b/pandas/_libs/src/ujson/python/date_conversions.h
new file mode 100644
index 0000000000000..45455f4d6128b
--- /dev/null
+++ b/pandas/_libs/src/ujson/python/date_conversions.h
@@ -0,0 +1,31 @@
+#ifndef PANDAS__LIBS_SRC_UJSON_DATE_CONVERSIONS
+#define PANDAS__LIBS_SRC_UJSON_DATE_CONVERSIONS
+
+#define PY_SSIZE_T_CLEAN
+#include <Python.h>
+#include <numpy/ndarraytypes.h>
+#include "datetime.h"
+
+// Scales value inplace from nanosecond resolution to unit resolution
+int scaleNanosecToUnit(npy_int64 *value, NPY_DATETIMEUNIT unit);
+
+// Converts an int64 object representing a date to ISO format
+// up to precision `base` e.g. base="s" yields 2020-01-03T00:00:00Z
+// while base="ns" yields "2020-01-01T00:00:00.000000000Z"
+// len is mutated to save the length of the returned string
+char *int64ToIso(int64_t value, NPY_DATETIMEUNIT base, size_t *len);
+
+// TODO: this function doesn't do a lot; should augment or replace with
+// scaleNanosecToUnit
+npy_datetime NpyDateTimeToEpoch(npy_datetime dt, NPY_DATETIMEUNIT base);
+
+// Converts a Python object representing a Date / Datetime to ISO format
+// up to precision `base` e.g. base="s" yields 2020-01-03T00:00:00Z
+// while base="ns" yields "2020-01-01T00:00:00.000000000Z"
+// len is mutated to save the length of the returned string
+char *PyDateTimeToIso(PyDateTime_Date *obj, NPY_DATETIMEUNIT base, size_t *len);
+
+// Convert a Python Date/Datetime to Unix epoch with resolution base
+npy_datetime PyDateTimeToEpoch(PyDateTime_Date *dt, NPY_DATETIMEUNIT base);
+
+#endif
diff --git a/pandas/_libs/src/ujson/python/objToJSON.c b/pandas/_libs/src/ujson/python/objToJSON.c
index c5ac279ed3243..0367661e5c554 100644
--- a/pandas/_libs/src/ujson/python/objToJSON.c
+++ b/pandas/_libs/src/ujson/python/objToJSON.c
@@ -45,8 +45,7 @@ Numeric decoder derived from from TCL library
#include <numpy/ndarraytypes.h>
#include <numpy/npy_math.h>
#include <ultrajson.h>
-#include <../../../tslibs/src/datetime/np_datetime.h>
-#include <../../../tslibs/src/datetime/np_datetime_strings.h>
+#include "date_conversions.h"
#include "datetime.h"
static PyTypeObject *type_decimal;
@@ -209,34 +208,6 @@ static TypeContext *createTypeContext(void) {
return pc;
}
-/*
- * Function: scaleNanosecToUnit
- * -----------------------------
- *
- * Scales an integer value representing time in nanoseconds to provided unit.
- *
- * Mutates the provided value directly. Returns 0 on success, non-zero on error.
- */
-static int scaleNanosecToUnit(npy_int64 *value, NPY_DATETIMEUNIT unit) {
- switch (unit) {
- case NPY_FR_ns:
- break;
- case NPY_FR_us:
- *value /= 1000LL;
- break;
- case NPY_FR_ms:
- *value /= 1000000LL;
- break;
- case NPY_FR_s:
- *value /= 1000000000LL;
- break;
- default:
- return -1;
- }
-
- return 0;
-}
-
static PyObject *get_values(PyObject *obj) {
PyObject *values = NULL;
@@ -379,34 +350,6 @@ static char *PyUnicodeToUTF8(JSOBJ _obj, JSONTypeContext *Py_UNUSED(tc),
return (char *)PyUnicode_AsUTF8AndSize(_obj, (Py_ssize_t *)_outLen);
}
-/* Converts the int64_t representation of a datetime to ISO; mutates len */
-static char *int64ToIso(int64_t value, NPY_DATETIMEUNIT base, size_t *len) {
- npy_datetimestruct dts;
- int ret_code;
-
- pandas_datetime_to_datetimestruct(value, NPY_FR_ns, &dts);
-
- *len = (size_t)get_datetime_iso_8601_strlen(0, base);
- char *result = PyObject_Malloc(*len);
-
- if (result == NULL) {
- PyErr_NoMemory();
- return NULL;
- }
-
- ret_code = make_iso_8601_datetime(&dts, result, *len, base);
- if (ret_code != 0) {
- PyErr_SetString(PyExc_ValueError,
- "Could not convert datetime value to string");
- PyObject_Free(result);
- }
-
- // Note that get_datetime_iso_8601_strlen just gives a generic size
- // for ISO string conversion, not the actual size used
- *len = strlen(result);
- return result;
-}
-
/* JSON callback. returns a char* and mutates the pointer to *len */
static char *NpyDateTimeToIsoCallback(JSOBJ Py_UNUSED(unused),
JSONTypeContext *tc, size_t *len) {
@@ -414,44 +357,6 @@ static char *NpyDateTimeToIsoCallback(JSOBJ Py_UNUSED(unused),
return int64ToIso(GET_TC(tc)->longValue, base, len);
}
-static npy_datetime NpyDateTimeToEpoch(npy_datetime dt, NPY_DATETIMEUNIT base) {
- scaleNanosecToUnit(&dt, base);
- return dt;
-}
-
-/* Convert PyDatetime To ISO C-string. mutates len */
-static char *PyDateTimeToIso(PyDateTime_Date *obj, NPY_DATETIMEUNIT base,
- size_t *len) {
- npy_datetimestruct dts;
- int ret;
-
- ret = convert_pydatetime_to_datetimestruct(obj, &dts);
- if (ret != 0) {
- if (!PyErr_Occurred()) {
- PyErr_SetString(PyExc_ValueError,
- "Could not convert PyDateTime to numpy datetime");
- }
- return NULL;
- }
-
- *len = (size_t)get_datetime_iso_8601_strlen(0, base);
- char *result = PyObject_Malloc(*len);
- ret = make_iso_8601_datetime(&dts, result, *len, base);
-
- if (ret != 0) {
- PRINTMARK();
- PyErr_SetString(PyExc_ValueError,
- "Could not convert datetime value to string");
- PyObject_Free(result);
- return NULL;
- }
-
- // Note that get_datetime_iso_8601_strlen just gives a generic size
- // for ISO string conversion, not the actual size used
- *len = strlen(result);
- return result;
-}
-
/* JSON callback */
static char *PyDateTimeToIsoCallback(JSOBJ obj, JSONTypeContext *tc,
size_t *len) {
@@ -465,30 +370,6 @@ static char *PyDateTimeToIsoCallback(JSOBJ obj, JSONTypeContext *tc,
return PyDateTimeToIso(obj, base, len);
}
-static npy_datetime PyDateTimeToEpoch(PyObject *obj, NPY_DATETIMEUNIT base) {
- npy_datetimestruct dts;
- int ret;
-
- if (!PyDate_Check(obj)) {
- // TODO: raise TypeError
- }
- PyDateTime_Date *dt = (PyDateTime_Date *)obj;
-
- ret = convert_pydatetime_to_datetimestruct(dt, &dts);
- if (ret != 0) {
- if (!PyErr_Occurred()) {
- PyErr_SetString(PyExc_ValueError,
- "Could not convert PyDateTime to numpy datetime");
- }
- // TODO: is setting errMsg required?
- //((JSONObjectEncoder *)tc->encoder)->errorMsg = "";
- // return NULL;
- }
-
- npy_datetime npy_dt = npy_datetimestruct_to_datetime(NPY_FR_ns, &dts);
- return NpyDateTimeToEpoch(npy_dt, base);
-}
-
static char *PyTimeToJSON(JSOBJ _obj, JSONTypeContext *tc, size_t *outLen) {
PyObject *obj = (PyObject *)_obj;
PyObject *str;
@@ -1814,7 +1695,7 @@ void Object_beginTypeContext(JSOBJ _obj, JSONTypeContext *tc) {
PRINTMARK();
NPY_DATETIMEUNIT base =
((PyObjectEncoder *)tc->encoder)->datetimeUnit;
- GET_TC(tc)->longValue = PyDateTimeToEpoch(obj, base);
+ GET_TC(tc)->longValue = PyDateTimeToEpoch((PyDateTime_Date *)obj, base);
tc->type = JT_LONG;
}
return;
@@ -1840,7 +1721,7 @@ void Object_beginTypeContext(JSOBJ _obj, JSONTypeContext *tc) {
PRINTMARK();
NPY_DATETIMEUNIT base =
((PyObjectEncoder *)tc->encoder)->datetimeUnit;
- GET_TC(tc)->longValue = PyDateTimeToEpoch(obj, base);
+ GET_TC(tc)->longValue = PyDateTimeToEpoch((PyDateTime_Date *)obj, base);
tc->type = JT_LONG;
}
return;
diff --git a/setup.py b/setup.py
index 191fe49d1eb89..c7dbde2ff862c 100755
--- a/setup.py
+++ b/setup.py
@@ -240,6 +240,7 @@ def initialize_options(self):
pjoin(ujson_python, "ujson.c"),
pjoin(ujson_python, "objToJSON.c"),
pjoin(ujson_python, "JSONtoObj.c"),
+ pjoin(ujson_python, "date_conversions.c"),
pjoin(ujson_lib, "ultrajsonenc.c"),
pjoin(ujson_lib, "ultrajsondec.c"),
pjoin(util, "move.c"),
@@ -714,11 +715,15 @@ def srcpath(name=None, suffix=".pyx", subdir="src"):
ujson_ext = Extension(
"pandas._libs.json",
- depends=["pandas/_libs/src/ujson/lib/ultrajson.h"],
+ depends=[
+ "pandas/_libs/src/ujson/lib/ultrajson.h",
+ "pandas/_libs/src/ujson/python/date_conversions.h",
+ ],
sources=(
[
"pandas/_libs/src/ujson/python/ujson.c",
"pandas/_libs/src/ujson/python/objToJSON.c",
+ "pandas/_libs/src/ujson/python/date_conversions.c",
"pandas/_libs/src/ujson/python/JSONtoObj.c",
"pandas/_libs/src/ujson/lib/ultrajsonenc.c",
"pandas/_libs/src/ujson/lib/ultrajsondec.c",
| This file is pretty large so trying to make more modular. This separates out conversion routines required for getting from the Python space to JSON, but which don't actually serialize the data
| https://api.github.com/repos/pandas-dev/pandas/pulls/31057 | 2020-01-16T01:13:50Z | 2020-01-20T23:44:49Z | 2020-01-20T23:44:48Z | 2023-04-12T20:17:15Z |
CLN: assorted cleanups | diff --git a/pandas/core/indexes/interval.py b/pandas/core/indexes/interval.py
index 1c86235f9eaa1..8da6907750ac7 100644
--- a/pandas/core/indexes/interval.py
+++ b/pandas/core/indexes/interval.py
@@ -1055,7 +1055,7 @@ def equals(self, other) -> bool:
if not isinstance(other, IntervalIndex):
if not is_interval_dtype(other):
return False
- other = Index(getattr(other, ".values", other))
+ other = Index(other)
return (
self.left.equals(other.left)
diff --git a/pandas/core/internals/managers.py b/pandas/core/internals/managers.py
index 01b2c36e9adf3..1fce2594062d5 100644
--- a/pandas/core/internals/managers.py
+++ b/pandas/core/internals/managers.py
@@ -669,12 +669,6 @@ def is_numeric_mixed_type(self):
self._consolidate_inplace()
return all(block.is_numeric for block in self.blocks)
- @property
- def is_datelike_mixed_type(self):
- # Warning, consolidation needs to get checked upstairs
- self._consolidate_inplace()
- return any(block.is_datelike for block in self.blocks)
-
@property
def any_extension_types(self):
"""Whether any of the blocks in this manager are extension blocks"""
diff --git a/pandas/core/series.py b/pandas/core/series.py
index 33565bbedade6..01b68550391e6 100644
--- a/pandas/core/series.py
+++ b/pandas/core/series.py
@@ -701,7 +701,7 @@ def __array__(self, dtype=None) -> np.ndarray:
Returns
-------
numpy.ndarray
- The values in the series converted to a :class:`numpy.ndarary`
+ The values in the series converted to a :class:`numpy.ndarray`
with the specified `dtype`.
See Also
diff --git a/pandas/tests/frame/indexing/test_indexing.py b/pandas/tests/frame/indexing/test_indexing.py
index 40ecda7d74952..cbb9dd09bbede 100644
--- a/pandas/tests/frame/indexing/test_indexing.py
+++ b/pandas/tests/frame/indexing/test_indexing.py
@@ -2179,7 +2179,7 @@ def test_type_error_multiindex(self):
dg = df.pivot_table(index="i", columns="c", values=["x", "y"])
with pytest.raises(TypeError, match="is an invalid key"):
- str(dg[:, 0])
+ dg[:, 0]
index = Index(range(2), name="i")
columns = MultiIndex(
| https://api.github.com/repos/pandas-dev/pandas/pulls/31056 | 2020-01-15T22:19:33Z | 2020-01-16T09:59:06Z | 2020-01-16T09:59:06Z | 2020-01-16T16:30:12Z | |
REF: be stricter about what we pass to _simple_new | diff --git a/pandas/core/arrays/period.py b/pandas/core/arrays/period.py
index 1e2a02e988fdd..d9b53aa4a867c 100644
--- a/pandas/core/arrays/period.py
+++ b/pandas/core/arrays/period.py
@@ -169,8 +169,9 @@ def __init__(self, values, freq=None, dtype=None, copy=False):
self._dtype = PeriodDtype(freq)
@classmethod
- def _simple_new(cls, values, freq=None, **kwargs):
+ def _simple_new(cls, values: np.ndarray, freq=None, **kwargs):
# alias for PeriodArray.__init__
+ assert isinstance(values, np.ndarray) and values.dtype == "i8"
return cls(values, freq=freq, **kwargs)
@classmethod
diff --git a/pandas/core/indexes/base.py b/pandas/core/indexes/base.py
index 47daaa4958411..230fd83d80efe 100644
--- a/pandas/core/indexes/base.py
+++ b/pandas/core/indexes/base.py
@@ -50,7 +50,6 @@
from pandas.core.dtypes.generic import (
ABCCategorical,
ABCDataFrame,
- ABCDatetimeArray,
ABCDatetimeIndex,
ABCIndexClass,
ABCIntervalIndex,
@@ -459,11 +458,7 @@ def _simple_new(cls, values, name=None, dtype=None):
Must be careful not to recurse.
"""
- if isinstance(values, (ABCSeries, ABCIndexClass)):
- # Index._data must always be an ndarray.
- # This is no-copy for when _values is an ndarray,
- # which should be always at this point.
- values = np.asarray(values._values)
+ assert isinstance(values, np.ndarray), type(values)
result = object.__new__(cls)
result._data = values
@@ -509,6 +504,7 @@ def _get_attributes_dict(self):
def _shallow_copy(self, values=None, **kwargs):
if values is None:
values = self.values
+
attributes = self._get_attributes_dict()
attributes.update(kwargs)
if not len(values) and "dtype" not in kwargs:
@@ -516,10 +512,6 @@ def _shallow_copy(self, values=None, **kwargs):
# _simple_new expects an the type of self._data
values = getattr(values, "_values", values)
- if isinstance(values, ABCDatetimeArray):
- # `self.values` returns `self` for tz-aware, so we need to unwrap
- # more specifically
- values = values.asi8
return self._simple_new(values, **attributes)
diff --git a/pandas/core/indexes/datetimes.py b/pandas/core/indexes/datetimes.py
index 23ced8987d8ac..80d2bd5ba54fe 100644
--- a/pandas/core/indexes/datetimes.py
+++ b/pandas/core/indexes/datetimes.py
@@ -274,10 +274,6 @@ def _simple_new(cls, values, name=None, freq=None, tz=None, dtype=None):
freq = values.freq
values = values._data
- # DatetimeArray._simple_new will accept either i8 or M8[ns] dtypes
- if isinstance(values, DatetimeIndex):
- values = values._data
-
dtype = tz_to_dtype(tz)
dtarr = DatetimeArray._simple_new(values, freq=freq, dtype=dtype)
assert isinstance(dtarr, DatetimeArray)
diff --git a/pandas/core/indexes/interval.py b/pandas/core/indexes/interval.py
index 1c86235f9eaa1..3da9bc38fddf2 100644
--- a/pandas/core/indexes/interval.py
+++ b/pandas/core/indexes/interval.py
@@ -259,6 +259,8 @@ def _simple_new(cls, array, name, closed=None):
closed : Any
Ignored.
"""
+ assert isinstance(array, IntervalArray), type(array)
+
result = IntervalMixin.__new__(cls)
result._data = array
result.name = name
diff --git a/pandas/core/indexes/numeric.py b/pandas/core/indexes/numeric.py
index 9a3a021bd801a..c5569fa5782fb 100644
--- a/pandas/core/indexes/numeric.py
+++ b/pandas/core/indexes/numeric.py
@@ -52,6 +52,7 @@ class NumericIndex(Index):
def __new__(cls, data=None, dtype=None, copy=False, name=None):
cls._validate_dtype(dtype)
+ name = maybe_extract_name(name, data, cls)
# Coerce to ndarray if not already ndarray or Index
if not isinstance(data, (np.ndarray, Index)):
@@ -77,7 +78,7 @@ def __new__(cls, data=None, dtype=None, copy=False, name=None):
# GH#13601, GH#20285, GH#27125
raise ValueError("Index data must be 1-dimensional")
- name = maybe_extract_name(name, data, cls)
+ subarr = np.asarray(subarr)
return cls._simple_new(subarr, name=name)
@classmethod
diff --git a/pandas/core/indexes/period.py b/pandas/core/indexes/period.py
index 123353b620bfa..c9183f995568f 100644
--- a/pandas/core/indexes/period.py
+++ b/pandas/core/indexes/period.py
@@ -249,8 +249,6 @@ def _simple_new(cls, values, name=None, freq=None, **kwargs):
freq = Period._maybe_convert_freq(freq)
values = PeriodArray(values, freq=freq)
- if not isinstance(values, PeriodArray):
- raise TypeError("PeriodIndex._simple_new only accepts PeriodArray")
result = object.__new__(cls)
result._data = values
# For groupby perf. See note in indexes/base about _index_data
diff --git a/pandas/core/indexes/range.py b/pandas/core/indexes/range.py
index 5c79942efb908..9e20ec579c25d 100644
--- a/pandas/core/indexes/range.py
+++ b/pandas/core/indexes/range.py
@@ -112,7 +112,7 @@ def __new__(
return cls._simple_new(rng, dtype=dtype, name=name)
@classmethod
- def from_range(cls, data, name=None, dtype=None):
+ def from_range(cls, data: range, name=None, dtype=None) -> "RangeIndex":
"""
Create RangeIndex from a range object.
diff --git a/pandas/core/indexes/timedeltas.py b/pandas/core/indexes/timedeltas.py
index 582c257b50ad0..69c677361d334 100644
--- a/pandas/core/indexes/timedeltas.py
+++ b/pandas/core/indexes/timedeltas.py
@@ -177,12 +177,13 @@ def __new__(
tdarr = TimedeltaArray._from_sequence(
data, freq=freq, unit=unit, dtype=dtype, copy=copy
)
- return cls._simple_new(tdarr._data, freq=tdarr.freq, name=name)
+ return cls._simple_new(tdarr, name=name)
@classmethod
def _simple_new(cls, values, name=None, freq=None, dtype=_TD_DTYPE):
# `dtype` is passed by _shallow_copy in corner cases, should always
# be timedelta64[ns] if present
+
if not isinstance(values, TimedeltaArray):
values = TimedeltaArray._simple_new(values, dtype=dtype, freq=freq)
else:
@@ -420,7 +421,8 @@ def insert(self, loc, item):
new_i8s = np.concatenate(
(self[:loc].asi8, [item.view(np.int64)], self[loc:].asi8)
)
- return self._shallow_copy(new_i8s, freq=freq)
+ tda = type(self._data)._simple_new(new_i8s, freq=freq)
+ return self._shallow_copy(tda)
except (AttributeError, TypeError):
# fall back to object index
@@ -507,4 +509,4 @@ def timedelta_range(
freq, freq_infer = dtl.maybe_infer_freq(freq)
tdarr = TimedeltaArray._generate_range(start, end, periods, freq, closed=closed)
- return TimedeltaIndex._simple_new(tdarr._data, freq=tdarr.freq, name=name)
+ return TimedeltaIndex._simple_new(tdarr, name=name)
| This will take a few passes to get rid of all the checks done in _simple_new that should be done elsewhere | https://api.github.com/repos/pandas-dev/pandas/pulls/31055 | 2020-01-15T21:58:35Z | 2020-01-18T16:17:32Z | 2020-01-18T16:17:32Z | 2020-01-18T16:25:23Z |
DOC: Fix HDF5 complevel and complib formatting | diff --git a/doc/source/user_guide/io.rst b/doc/source/user_guide/io.rst
index 55bbf6848820b..e776da016d5d7 100644
--- a/doc/source/user_guide/io.rst
+++ b/doc/source/user_guide/io.rst
@@ -4220,46 +4220,49 @@ Compression
all kinds of stores, not just tables. Two parameters are used to
control compression: ``complevel`` and ``complib``.
-``complevel`` specifies if and how hard data is to be compressed.
- ``complevel=0`` and ``complevel=None`` disables
- compression and ``0<complevel<10`` enables compression.
-
-``complib`` specifies which compression library to use. If nothing is
- specified the default library ``zlib`` is used. A
- compression library usually optimizes for either good
- compression rates or speed and the results will depend on
- the type of data. Which type of
- compression to choose depends on your specific needs and
- data. The list of supported compression libraries:
-
- - `zlib <https://zlib.net/>`_: The default compression library. A classic in terms of compression, achieves good compression rates but is somewhat slow.
- - `lzo <https://www.oberhumer.com/opensource/lzo/>`_: Fast compression and decompression.
- - `bzip2 <http://bzip.org/>`_: Good compression rates.
- - `blosc <http://www.blosc.org/>`_: Fast compression and decompression.
-
- Support for alternative blosc compressors:
-
- - `blosc:blosclz <http://www.blosc.org/>`_ This is the
- default compressor for ``blosc``
- - `blosc:lz4
- <https://fastcompression.blogspot.dk/p/lz4.html>`_:
- A compact, very popular and fast compressor.
- - `blosc:lz4hc
- <https://fastcompression.blogspot.dk/p/lz4.html>`_:
- A tweaked version of LZ4, produces better
- compression ratios at the expense of speed.
- - `blosc:snappy <https://google.github.io/snappy/>`_:
- A popular compressor used in many places.
- - `blosc:zlib <https://zlib.net/>`_: A classic;
- somewhat slower than the previous ones, but
- achieving better compression ratios.
- - `blosc:zstd <https://facebook.github.io/zstd/>`_: An
- extremely well balanced codec; it provides the best
- compression ratios among the others above, and at
- reasonably fast speed.
-
- If ``complib`` is defined as something other than the
- listed libraries a ``ValueError`` exception is issued.
+* ``complevel`` specifies if and how hard data is to be compressed.
+ ``complevel=0`` and ``complevel=None`` disables compression and
+ ``0<complevel<10`` enables compression.
+
+* ``complib`` specifies which compression library to use.
+ If nothing is specified the default library ``zlib`` is used. A
+ compression library usually optimizes for either good compression rates
+ or speed and the results will depend on the type of data. Which type of
+ compression to choose depends on your specific needs and data. The list
+ of supported compression libraries:
+
+ - `zlib <https://zlib.net/>`_: The default compression library.
+ A classic in terms of compression, achieves good compression
+ rates but is somewhat slow.
+ - `lzo <https://www.oberhumer.com/opensource/lzo/>`_: Fast
+ compression and decompression.
+ - `bzip2 <http://bzip.org/>`_: Good compression rates.
+ - `blosc <http://www.blosc.org/>`_: Fast compression and
+ decompression.
+
+ Support for alternative blosc compressors:
+
+ - `blosc:blosclz <http://www.blosc.org/>`_ This is the
+ default compressor for ``blosc``
+ - `blosc:lz4
+ <https://fastcompression.blogspot.dk/p/lz4.html>`_:
+ A compact, very popular and fast compressor.
+ - `blosc:lz4hc
+ <https://fastcompression.blogspot.dk/p/lz4.html>`_:
+ A tweaked version of LZ4, produces better
+ compression ratios at the expense of speed.
+ - `blosc:snappy <https://google.github.io/snappy/>`_:
+ A popular compressor used in many places.
+ - `blosc:zlib <https://zlib.net/>`_: A classic;
+ somewhat slower than the previous ones, but
+ achieving better compression ratios.
+ - `blosc:zstd <https://facebook.github.io/zstd/>`_: An
+ extremely well balanced codec; it provides the best
+ compression ratios among the others above, and at
+ reasonably fast speed.
+
+ If ``complib`` is defined as something other than the listed libraries a
+ ``ValueError`` exception is issued.
.. note::
| Fixes formatting of these params.
- [x] closes #31052
- [ ] tests added / passed (N/A)
- [ ] passes `black pandas` (N/A)
- [ ] passes `git diff upstream/master -u -- "*.py" | flake8 --diff` (N/A)
- [ ] whatsnew entry (N/A)
N/A as this PR only updates an rst file for the docs. | https://api.github.com/repos/pandas-dev/pandas/pulls/31053 | 2020-01-15T20:18:05Z | 2020-01-20T13:34:12Z | 2020-01-20T13:34:12Z | 2020-01-20T13:34:23Z |
CLN: Remove unused release scripts | diff --git a/scripts/build_dist.sh b/scripts/build_dist.sh
deleted file mode 100755
index c3f849ce7a6eb..0000000000000
--- a/scripts/build_dist.sh
+++ /dev/null
@@ -1,18 +0,0 @@
-#!/bin/bash
-
-# build the distribution
-LAST=`git tag --sort version:refname | grep -v rc | tail -1`
-
-echo "Building distribution for: $LAST"
-git checkout $LAST
-
-read -p "Ok to continue (y/n)? " answer
-case ${answer:0:1} in
- y|Y )
- echo "Building distribution"
- ./build_dist_for_release.sh
- ;;
- * )
- echo "Not building distribution"
- ;;
-esac
diff --git a/scripts/build_dist_for_release.sh b/scripts/build_dist_for_release.sh
deleted file mode 100755
index bee0f23a68ec2..0000000000000
--- a/scripts/build_dist_for_release.sh
+++ /dev/null
@@ -1,10 +0,0 @@
-#!/bin/bash
-
-# this requires cython to be installed
-
-# this builds the release cleanly & is building on the current checkout
-rm -rf dist
-git clean -xfd
-python setup.py clean --quiet
-python setup.py cython --quiet
-python setup.py sdist --formats=gztar --quiet
| - [X] ref #31039
Old scripts that are not used anymore.
CC: @TomAugspurger | https://api.github.com/repos/pandas-dev/pandas/pulls/31049 | 2020-01-15T17:07:35Z | 2020-01-20T17:38:28Z | 2020-01-20T17:38:28Z | 2020-01-20T17:38:33Z |
DOC: Add missing docstrings | diff --git a/pandas/core/indexes/base.py b/pandas/core/indexes/base.py
index 47daaa4958411..605013882b31e 100644
--- a/pandas/core/indexes/base.py
+++ b/pandas/core/indexes/base.py
@@ -1163,6 +1163,9 @@ def to_frame(self, index=True, name=None):
@property
def name(self):
+ """
+ Return Index or MultiIndex name.
+ """
return self._name
@name.setter
@@ -1644,21 +1647,230 @@ def is_unique(self) -> bool:
@property
def has_duplicates(self) -> bool:
+ """
+ Check if the Index has duplicate values.
+
+ Returns
+ -------
+ bool
+ Whether or not the Index has duplicate values.
+
+ Examples
+ --------
+ >>> idx = pd.Index([1, 5, 7, 7])
+ >>> idx.has_duplicates
+ True
+
+ >>> idx = pd.Index([1, 5, 7])
+ >>> idx.has_duplicates
+ False
+
+ >>> idx = pd.Index(["Watermelon", "Orange", "Apple",
+ ... "Watermelon"]).astype("category")
+ >>> idx.has_duplicates
+ True
+
+ >>> idx = pd.Index(["Orange", "Apple",
+ ... "Watermelon"]).astype("category")
+ >>> idx.has_duplicates
+ False
+ """
return not self.is_unique
def is_boolean(self) -> bool:
+ """
+ Check if the Index only consists of booleans.
+
+ Returns
+ -------
+ bool
+ Whether or not the Index only consists of booleans.
+
+ See Also
+ --------
+ is_integer : Check if the Index only consists of integers.
+ is_floating : Check if the Index is a floating type.
+ is_numeric : Check if the Index only consists of numeric data.
+ is_object : Check if the Index is of the object dtype.
+ is_categorical : Check if the Index holds categorical data.
+ is_interval : Check if the Index holds Interval objects.
+ is_mixed : Check if the Index holds data with mixed data types.
+
+ Examples
+ --------
+ >>> idx = pd.Index([True, False, True])
+ >>> idx.is_boolean()
+ True
+
+ >>> idx = pd.Index(["True", "False", "True"])
+ >>> idx.is_boolean()
+ False
+
+ >>> idx = pd.Index([True, False, "True"])
+ >>> idx.is_boolean()
+ False
+ """
return self.inferred_type in ["boolean"]
def is_integer(self) -> bool:
+ """
+ Check if the Index only consists of integers.
+
+ Returns
+ -------
+ bool
+ Whether or not the Index only consists of integers.
+
+ See Also
+ --------
+ is_boolean : Check if the Index only consists of booleans.
+ is_floating : Check if the Index is a floating type.
+ is_numeric : Check if the Index only consists of numeric data.
+ is_object : Check if the Index is of the object dtype.
+ is_categorical : Check if the Index holds categorical data.
+ is_interval : Check if the Index holds Interval objects.
+ is_mixed : Check if the Index holds data with mixed data types.
+
+ Examples
+ --------
+ >>> idx = pd.Index([1, 2, 3, 4])
+ >>> idx.is_integer()
+ True
+
+ >>> idx = pd.Index([1.0, 2.0, 3.0, 4.0])
+ >>> idx.is_integer()
+ False
+
+ >>> idx = pd.Index(["Apple", "Mango", "Watermelon"])
+ >>> idx.is_integer()
+ False
+ """
return self.inferred_type in ["integer"]
def is_floating(self) -> bool:
+ """
+ Check if the Index is a floating type.
+
+ The Index may consist of only floats, NaNs, or a mix of floats,
+ integers, or NaNs.
+
+ Returns
+ -------
+ bool
+ Whether or not the Index only consists of only consists of floats, NaNs, or
+ a mix of floats, integers, or NaNs.
+
+ See Also
+ --------
+ is_boolean : Check if the Index only consists of booleans.
+ is_integer : Check if the Index only consists of integers.
+ is_numeric : Check if the Index only consists of numeric data.
+ is_object : Check if the Index is of the object dtype.
+ is_categorical : Check if the Index holds categorical data.
+ is_interval : Check if the Index holds Interval objects.
+ is_mixed : Check if the Index holds data with mixed data types.
+
+ Examples
+ --------
+ >>> idx = pd.Index([1.0, 2.0, 3.0, 4.0])
+ >>> idx.is_floating()
+ True
+
+ >>> idx = pd.Index([1.0, 2.0, np.nan, 4.0])
+ >>> idx.is_floating()
+ True
+
+ >>> idx = pd.Index([1, 2, 3, 4, np.nan])
+ >>> idx.is_floating()
+ True
+
+ >>> idx = pd.Index([1, 2, 3, 4])
+ >>> idx.is_floating()
+ False
+ """
return self.inferred_type in ["floating", "mixed-integer-float", "integer-na"]
def is_numeric(self) -> bool:
+ """
+ Check if the Index only consists of numeric data.
+
+ Returns
+ -------
+ bool
+ Whether or not the Index only consists of numeric data.
+
+ See Also
+ --------
+ is_boolean : Check if the Index only consists of booleans.
+ is_integer : Check if the Index only consists of integers.
+ is_floating : Check if the Index is a floating type.
+ is_object : Check if the Index is of the object dtype.
+ is_categorical : Check if the Index holds categorical data.
+ is_interval : Check if the Index holds Interval objects.
+ is_mixed : Check if the Index holds data with mixed data types.
+
+ Examples
+ --------
+ >>> idx = pd.Index([1.0, 2.0, 3.0, 4.0])
+ >>> idx.is_numeric()
+ True
+
+ >>> idx = pd.Index([1, 2, 3, 4.0])
+ >>> idx.is_numeric()
+ True
+
+ >>> idx = pd.Index([1, 2, 3, 4])
+ >>> idx.is_numeric()
+ True
+
+ >>> idx = pd.Index([1, 2, 3, 4.0, np.nan])
+ >>> idx.is_numeric()
+ True
+
+ >>> idx = pd.Index([1, 2, 3, 4.0, np.nan, "Apple"])
+ >>> idx.is_numeric()
+ False
+ """
return self.inferred_type in ["integer", "floating"]
def is_object(self) -> bool:
+ """
+ Check if the Index is of the object dtype.
+
+ Returns
+ -------
+ bool
+ Whether or not the Index is of the object dtype.
+
+ See Also
+ --------
+ is_boolean : Check if the Index only consists of booleans.
+ is_integer : Check if the Index only consists of integers.
+ is_floating : Check if the Index is a floating type.
+ is_numeric : Check if the Index only consists of numeric data.
+ is_categorical : Check if the Index holds categorical data.
+ is_interval : Check if the Index holds Interval objects.
+ is_mixed : Check if the Index holds data with mixed data types.
+
+ Examples
+ --------
+ >>> idx = pd.Index(["Apple", "Mango", "Watermelon"])
+ >>> idx.is_object()
+ True
+
+ >>> idx = pd.Index(["Apple", "Mango", 2.0])
+ >>> idx.is_object()
+ True
+
+ >>> idx = pd.Index(["Watermelon", "Orange", "Apple",
+ ... "Watermelon"]).astype("category")
+ >>> idx.object()
+ False
+
+ >>> idx = pd.Index([1.0, 2.0, 3.0, 4.0])
+ >>> idx.is_object()
+ False
+ """
return is_object_dtype(self.dtype)
def is_categorical(self) -> bool:
@@ -1667,12 +1879,19 @@ def is_categorical(self) -> bool:
Returns
-------
- boolean
+ bool
True if the Index is categorical.
See Also
--------
CategoricalIndex : Index for categorical data.
+ is_boolean : Check if the Index only consists of booleans.
+ is_integer : Check if the Index only consists of integers.
+ is_floating : Check if the Index is a floating type.
+ is_numeric : Check if the Index only consists of numeric data.
+ is_object : Check if the Index is of the object dtype.
+ is_interval : Check if the Index holds Interval objects.
+ is_mixed : Check if the Index holds data with mixed data types.
Examples
--------
@@ -1698,9 +1917,67 @@ def is_categorical(self) -> bool:
return self.inferred_type in ["categorical"]
def is_interval(self) -> bool:
+ """
+ Check if the Index holds Interval objects.
+
+ Returns
+ -------
+ bool
+ Whether or not the Index holds Interval objects.
+
+ See Also
+ --------
+ IntervalIndex : Index for Interval objects.
+ is_boolean : Check if the Index only consists of booleans.
+ is_integer : Check if the Index only consists of integers.
+ is_floating : Check if the Index is a floating type.
+ is_numeric : Check if the Index only consists of numeric data.
+ is_object : Check if the Index is of the object dtype.
+ is_categorical : Check if the Index holds categorical data.
+ is_mixed : Check if the Index holds data with mixed data types.
+
+ Examples
+ --------
+ >>> idx = pd.Index([pd.Interval(left=0, right=5),
+ ... pd.Interval(left=5, right=10)])
+ >>> idx.is_interval()
+ True
+
+ >>> idx = pd.Index([1, 3, 5, 7])
+ >>> idx.is_interval()
+ False
+ """
return self.inferred_type in ["interval"]
def is_mixed(self) -> bool:
+ """
+ Check if the Index holds data with mixed data types.
+
+ Returns
+ -------
+ bool
+ Whether or not the Index holds data with mixed data types.
+
+ See Also
+ --------
+ is_boolean : Check if the Index only consists of booleans.
+ is_integer : Check if the Index only consists of integers.
+ is_floating : Check if the Index is a floating type.
+ is_numeric : Check if the Index only consists of numeric data.
+ is_object : Check if the Index is of the object dtype.
+ is_categorical : Check if the Index holds categorical data.
+ is_interval : Check if the Index holds Interval objects.
+
+ Examples
+ --------
+ >>> idx = pd.Index(['a', np.nan, 'b'])
+ >>> idx.is_mixed()
+ True
+
+ >>> idx = pd.Index([1.0, 2.0, 3.0, 5.0])
+ >>> idx.is_mixed()
+ False
+ """
return self.inferred_type in ["mixed"]
def holds_integer(self):
@@ -1718,6 +1995,9 @@ def inferred_type(self):
@cache_readonly
def is_all_dates(self) -> bool:
+ """
+ Whether or not the index values only consist of dates.
+ """
return is_datetime_array(ensure_object(self.values))
# --------------------------------------------------------------------
| Added docstrings:
```
pandas.Index.has_duplicates
pandas.Index.is_all_dates
pandas.Index.name
pandas.Index.is_boolean
pandas.Index.is_floating
pandas.Index.is_integer
pandas.Index.is_interval
pandas.Index.is_mixed
pandas.Index.is_numeric
pandas.Index.is_object
```
There are some other docstrings left - I couldn't find the docstrings below in the code:
```
None:None:GL08:pandas.Index.names:The object does not have a docstring
None:None:GL08:pandas.Index.empty:The object does not have a docstring
```
I don't really understand what the function does so I'm leaving the docstring empty for now:
```
pandas/pandas/core/indexes/base.py:639:GL08:pandas.Index.view:The object does not have a docstring
```
cc @datapythonista
- [ ] closes #xxxx
- [ ] tests added / passed
- [x] passes `black pandas`
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [ ] whatsnew entry
| https://api.github.com/repos/pandas-dev/pandas/pulls/31047 | 2020-01-15T16:43:31Z | 2020-01-17T13:27:38Z | 2020-01-17T13:27:38Z | 2020-01-17T13:27:49Z |
BUG: groupby shift fill_value, freq followup | diff --git a/doc/source/whatsnew/v2.1.0.rst b/doc/source/whatsnew/v2.1.0.rst
index 31293a42a3977..137f2e5c12211 100644
--- a/doc/source/whatsnew/v2.1.0.rst
+++ b/doc/source/whatsnew/v2.1.0.rst
@@ -618,7 +618,7 @@ Other
- Bug in :func:`assert_almost_equal` now throwing assertion error for two unequal sets (:issue:`51727`)
- Bug in :func:`assert_frame_equal` checks category dtypes even when asked not to check index type (:issue:`52126`)
- Bug in :meth:`DataFrame.reindex` with a ``fill_value`` that should be inferred with a :class:`ExtensionDtype` incorrectly inferring ``object`` dtype (:issue:`52586`)
-- Bug in :meth:`DataFrame.shift` and :meth:`Series.shift` when passing both "freq" and "fill_value" silently ignoring "fill_value" instead of raising ``ValueError`` (:issue:`53832`)
+- Bug in :meth:`DataFrame.shift` and :meth:`Series.shift` and :meth:`DataFrameGroupBy.shift` when passing both "freq" and "fill_value" silently ignoring "fill_value" instead of raising ``ValueError`` (:issue:`53832`)
- Bug in :meth:`DataFrame.shift` with ``axis=1`` on a :class:`DataFrame` with a single :class:`ExtensionDtype` column giving incorrect results (:issue:`53832`)
- Bug in :meth:`Series.align`, :meth:`DataFrame.align`, :meth:`Series.reindex`, :meth:`DataFrame.reindex`, :meth:`Series.interpolate`, :meth:`DataFrame.interpolate`, incorrectly failing to raise with method="asfreq" (:issue:`53620`)
- Bug in :meth:`Series.map` when giving a callable to an empty series, the returned series had ``object`` dtype. It now keeps the original dtype (:issue:`52384`)
diff --git a/pandas/core/groupby/groupby.py b/pandas/core/groupby/groupby.py
index 5f9740b4dcefc..9d87a28093371 100644
--- a/pandas/core/groupby/groupby.py
+++ b/pandas/core/groupby/groupby.py
@@ -4911,7 +4911,7 @@ def shift(
periods: int = 1,
freq=None,
axis: Axis | lib.NoDefault = lib.no_default,
- fill_value=None,
+ fill_value=lib.no_default,
):
"""
Shift each group by periods observations.
@@ -4934,6 +4934,9 @@ def shift(
fill_value : optional
The scalar value to use for newly introduced missing values.
+ .. versionchanged:: 2.1.0
+ Will raise a ``ValueError`` if ``freq`` is provided too.
+
Returns
-------
Series or DataFrame
@@ -4991,6 +4994,8 @@ def shift(
f = lambda x: x.shift(periods, freq, axis, fill_value)
return self._python_apply_general(f, self._selected_obj, is_transform=True)
+ if fill_value is lib.no_default:
+ fill_value = None
ids, _, ngroups = self.grouper.group_info
res_indexer = np.zeros(len(ids), dtype=np.int64)
diff --git a/pandas/tests/groupby/test_groupby_shift_diff.py b/pandas/tests/groupby/test_groupby_shift_diff.py
index 656471b2f6eb0..cec8ea9d351cf 100644
--- a/pandas/tests/groupby/test_groupby_shift_diff.py
+++ b/pandas/tests/groupby/test_groupby_shift_diff.py
@@ -7,6 +7,7 @@
Series,
Timedelta,
Timestamp,
+ date_range,
)
import pandas._testing as tm
@@ -154,3 +155,21 @@ def test_multindex_empty_shift_with_fill():
shifted_with_fill = df.groupby(["a", "b"]).shift(1, fill_value=0)
tm.assert_frame_equal(shifted, shifted_with_fill)
tm.assert_index_equal(shifted.index, shifted_with_fill.index)
+
+
+def test_shift_periods_freq():
+ # GH 54093
+ data = {"a": [1, 2, 3, 4, 5, 6], "b": [0, 0, 0, 1, 1, 1]}
+ df = DataFrame(data, index=date_range(start="20100101", periods=6))
+ result = df.groupby(df.index).shift(periods=-2, freq="D")
+ expected = DataFrame(data, index=date_range(start="2009-12-30", periods=6))
+ tm.assert_frame_equal(result, expected)
+
+
+def test_shift_disallow_freq_and_fill_value():
+ # GH 53832
+ data = {"a": [1, 2, 3, 4, 5, 6], "b": [0, 0, 0, 1, 1, 1]}
+ df = DataFrame(data, index=date_range(start="20100101", periods=6))
+ msg = "Cannot pass both 'freq' and 'fill_value' to (Series|DataFrame).shift"
+ with pytest.raises(ValueError, match=msg):
+ df.groupby(df.index).shift(periods=-2, freq="D", fill_value="1")
| - [ ] closes #54093 (Replace xxxx with the GitHub issue number)
- [ ] [Tests added and passed](https://pandas.pydata.org/pandas-docs/dev/development/contributing_codebase.html#writing-tests) if fixing a bug or adding a new feature
- [ ] All [code checks passed](https://pandas.pydata.org/pandas-docs/dev/development/contributing_codebase.html#pre-commit).
- [ ] Added [type annotations](https://pandas.pydata.org/pandas-docs/dev/development/contributing_codebase.html#type-hints) to new arguments/methods/functions.
- [ ] Added an entry in the latest `doc/source/whatsnew/vX.X.X.rst` file if fixing a bug or adding a new feature.
Follow up to https://github.com/pandas-dev/pandas/pull/53832
| https://api.github.com/repos/pandas-dev/pandas/pulls/54133 | 2023-07-15T00:32:51Z | 2023-07-18T03:08:20Z | 2023-07-18T03:08:20Z | 2023-07-18T03:27:02Z |
BUG: Series.groupby.size returning int64 for masked and arrow types | diff --git a/doc/source/whatsnew/v2.1.0.rst b/doc/source/whatsnew/v2.1.0.rst
index a2c3bf1453c2e..f4dbf9e08ac18 100644
--- a/doc/source/whatsnew/v2.1.0.rst
+++ b/doc/source/whatsnew/v2.1.0.rst
@@ -559,6 +559,7 @@ Groupby/resample/rolling
- Bug in :meth:`DataFrameGroupBy.apply` raising a ``TypeError`` when selecting multiple columns and providing a function that returns ``np.ndarray`` results (:issue:`18930`)
- Bug in :meth:`GroupBy.groups` with a datetime key in conjunction with another key produced incorrect number of group keys (:issue:`51158`)
- Bug in :meth:`GroupBy.quantile` may implicitly sort the result index with ``sort=False`` (:issue:`53009`)
+- Bug in :meth:`SeriesGroupBy.size` where the dtype would be ``np.int64`` for data with :class:`ArrowDtype` or masked dtypes (e.g. ``Int64``) (:issue:`53831`)
- Bug in :meth:`GroupBy.var` failing to raise ``TypeError`` when called with datetime64, timedelta64 or :class:`PeriodDtype` values (:issue:`52128`, :issue:`53045`)
- Bug in :meth:`DataFrameGroupby.resample` with ``kind="period"`` raising ``AttributeError`` (:issue:`24103`)
- Bug in :meth:`Resampler.ohlc` with empty object returning a :class:`Series` instead of empty :class:`DataFrame` (:issue:`42902`)
diff --git a/pandas/core/groupby/groupby.py b/pandas/core/groupby/groupby.py
index 9d87a28093371..64d874a31c428 100644
--- a/pandas/core/groupby/groupby.py
+++ b/pandas/core/groupby/groupby.py
@@ -99,6 +99,7 @@ class providing the base-class of operations.
from pandas.core._numba import executor
from pandas.core.apply import warn_alias_replacement
from pandas.core.arrays import (
+ ArrowExtensionArray,
BaseMaskedArray,
Categorical,
ExtensionArray,
@@ -2930,6 +2931,13 @@ def size(self) -> DataFrame | Series:
Freq: MS, dtype: int64
"""
result = self.grouper.size()
+ dtype_backend: None | Literal["pyarrow", "numpy_nullable"] = None
+ if isinstance(self.obj, Series):
+ if isinstance(self.obj.array, ArrowExtensionArray):
+ dtype_backend = "pyarrow"
+ elif isinstance(self.obj.array, BaseMaskedArray):
+ dtype_backend = "numpy_nullable"
+ # TODO: For DataFrames what if columns are mixed arrow/numpy/masked?
# GH28330 preserve subclassed Series/DataFrames through calls
if isinstance(self.obj, Series):
@@ -2937,6 +2945,15 @@ def size(self) -> DataFrame | Series:
else:
result = self._obj_1d_constructor(result)
+ if dtype_backend is not None:
+ result = result.convert_dtypes(
+ infer_objects=False,
+ convert_string=False,
+ convert_boolean=False,
+ convert_floating=False,
+ dtype_backend=dtype_backend,
+ )
+
with com.temp_setattr(self, "as_index", True):
# size already has the desired behavior in GH#49519, but this makes the
# as_index=False path of _reindex_output fail on categorical groupers.
diff --git a/pandas/tests/extension/test_arrow.py b/pandas/tests/extension/test_arrow.py
index 2a6b57a365a11..b6fa4fbcaa92c 100644
--- a/pandas/tests/extension/test_arrow.py
+++ b/pandas/tests/extension/test_arrow.py
@@ -3122,6 +3122,14 @@ def test_iter_temporal(pa_type):
assert result == expected
+def test_groupby_series_size_returns_pa_int(data):
+ # GH 54132
+ ser = pd.Series(data[:3], index=["a", "a", "b"])
+ result = ser.groupby(level=0).size()
+ expected = pd.Series([2, 1], dtype="int64[pyarrow]", index=["a", "b"])
+ tm.assert_series_equal(result, expected)
+
+
@pytest.mark.parametrize(
"pa_type", tm.DATETIME_PYARROW_DTYPES + tm.TIMEDELTA_PYARROW_DTYPES
)
diff --git a/pandas/tests/groupby/test_size.py b/pandas/tests/groupby/test_size.py
index b96fe41c26c3e..e7598ec34fa15 100644
--- a/pandas/tests/groupby/test_size.py
+++ b/pandas/tests/groupby/test_size.py
@@ -95,3 +95,12 @@ def test_size_on_categorical(as_index):
expected = expected.set_index(["A", "B"])["size"].rename(None)
tm.assert_equal(result, expected)
+
+
+@pytest.mark.parametrize("dtype", ["Int64", "Float64", "boolean"])
+def test_size_series_masked_type_returns_Int64(dtype):
+ # GH 54132
+ ser = Series([1, 1, 1], index=["a", "a", "b"], dtype=dtype)
+ result = ser.groupby(level=0).size()
+ expected = Series([2, 1], dtype="Int64", index=["a", "b"])
+ tm.assert_series_equal(result, expected)
| - [ ] closes #xxxx (Replace xxxx with the GitHub issue number)
- [ ] [Tests added and passed](https://pandas.pydata.org/pandas-docs/dev/development/contributing_codebase.html#writing-tests) if fixing a bug or adding a new feature
- [ ] All [code checks passed](https://pandas.pydata.org/pandas-docs/dev/development/contributing_codebase.html#pre-commit).
- [ ] Added [type annotations](https://pandas.pydata.org/pandas-docs/dev/development/contributing_codebase.html#type-hints) to new arguments/methods/functions.
- [ ] Added an entry in the latest `doc/source/whatsnew/vX.X.X.rst` file if fixing a bug or adding a new feature.
| https://api.github.com/repos/pandas-dev/pandas/pulls/54132 | 2023-07-15T00:00:01Z | 2023-07-18T23:02:23Z | 2023-07-18T23:02:23Z | 2023-07-18T23:02:26Z |
BUG: DataFrame repr with ArrowDtype with extension | diff --git a/doc/source/whatsnew/v2.1.0.rst b/doc/source/whatsnew/v2.1.0.rst
index 31293a42a3977..ed546187d721c 100644
--- a/doc/source/whatsnew/v2.1.0.rst
+++ b/doc/source/whatsnew/v2.1.0.rst
@@ -598,6 +598,7 @@ ExtensionArray
- Bug in :meth:`Series.quantile` for pyarrow temporal types raising ArrowInvalid (:issue:`52678`)
- Bug in :meth:`Series.rank` returning wrong order for small values with ``Float64`` dtype (:issue:`52471`)
- Bug in :meth:`~arrays.ArrowExtensionArray.__iter__` and :meth:`~arrays.ArrowExtensionArray.__getitem__` returning python datetime and timedelta objects for non-nano dtypes (:issue:`53326`)
+- Bug where the :class:`DataFrame` repr would not work when a column would have an :class:`ArrowDtype` with an ``pyarrow.ExtensionDtype`` (:issue:`54063`)
- Bug where the ``__from_arrow__`` method of masked ExtensionDtypes(e.g. :class:`Float64Dtype`, :class:`BooleanDtype`) would not accept pyarrow arrays of type ``pyarrow.null()`` (:issue:`52223`)
Styler
diff --git a/pandas/core/dtypes/dtypes.py b/pandas/core/dtypes/dtypes.py
index 04e2b00744156..c19d6f778efb3 100644
--- a/pandas/core/dtypes/dtypes.py
+++ b/pandas/core/dtypes/dtypes.py
@@ -2102,8 +2102,9 @@ def type(self):
elif pa.types.is_null(pa_type):
# TODO: None? pd.NA? pa.null?
return type(pa_type)
- else:
- raise NotImplementedError(pa_type)
+ elif isinstance(pa_type, pa.ExtensionType):
+ return type(self)(pa_type.storage_type).type
+ raise NotImplementedError(pa_type)
@property
def name(self) -> str: # type: ignore[override]
diff --git a/pandas/tests/extension/test_arrow.py b/pandas/tests/extension/test_arrow.py
index 7b2bedc531076..2a6b57a365a11 100644
--- a/pandas/tests/extension/test_arrow.py
+++ b/pandas/tests/extension/test_arrow.py
@@ -61,6 +61,7 @@
pa = pytest.importorskip("pyarrow", minversion="7.0.0")
from pandas.core.arrays.arrow.array import ArrowExtensionArray
+from pandas.core.arrays.arrow.extension_types import ArrowPeriodType
@pytest.fixture(params=tm.ALL_PYARROW_DTYPES, ids=str)
@@ -3143,3 +3144,17 @@ def test_to_numpy_temporal(pa_type):
expected = np.array(expected, dtype=object)
assert result[0].unit == expected[0].unit
tm.assert_numpy_array_equal(result, expected)
+
+
+def test_arrowextensiondtype_dataframe_repr():
+ # GH 54062
+ df = pd.DataFrame(
+ pd.period_range("2012", periods=3),
+ columns=["col"],
+ dtype=ArrowDtype(ArrowPeriodType("D")),
+ )
+ result = repr(df)
+ # TODO: repr value may not be expected; address how
+ # pyarrow.ExtensionType values are displayed
+ expected = " col\n0 15340\n1 15341\n2 15342"
+ assert result == expected
| - [x] closes #54062 (Replace xxxx with the GitHub issue number)
- [ ] [Tests added and passed](https://pandas.pydata.org/pandas-docs/dev/development/contributing_codebase.html#writing-tests) if fixing a bug or adding a new feature
- [ ] All [code checks passed](https://pandas.pydata.org/pandas-docs/dev/development/contributing_codebase.html#pre-commit).
- [ ] Added [type annotations](https://pandas.pydata.org/pandas-docs/dev/development/contributing_codebase.html#type-hints) to new arguments/methods/functions.
- [x] Added an entry in the latest `doc/source/whatsnew/vX.X.X.rst` file if fixing a bug or adding a new feature.
I _think_ it makes sense for the python `.type` of a pyarrow ExtensionType to be its storage's `.type`.
| https://api.github.com/repos/pandas-dev/pandas/pulls/54130 | 2023-07-14T21:16:21Z | 2023-07-18T16:50:50Z | 2023-07-18T16:50:50Z | 2023-07-18T16:51:35Z |
BUG: groupby.count maintains masked and arrow dtypes | diff --git a/doc/source/whatsnew/v2.1.0.rst b/doc/source/whatsnew/v2.1.0.rst
index 839870cb18a0b..107dd87fd7486 100644
--- a/doc/source/whatsnew/v2.1.0.rst
+++ b/doc/source/whatsnew/v2.1.0.rst
@@ -569,6 +569,7 @@ Groupby/resample/rolling
- Bug in :meth:`GroupBy.var` failing to raise ``TypeError`` when called with datetime64, timedelta64 or :class:`PeriodDtype` values (:issue:`52128`, :issue:`53045`)
- Bug in :meth:`DataFrameGroupby.resample` with ``kind="period"`` raising ``AttributeError`` (:issue:`24103`)
- Bug in :meth:`Resampler.ohlc` with empty object returning a :class:`Series` instead of empty :class:`DataFrame` (:issue:`42902`)
+- Bug in :meth:`SeriesGroupBy.count` and :meth:`DataFrameGroupBy.count` where the dtype would be ``np.int64`` for data with :class:`ArrowDtype` or masked dtypes (e.g. ``Int64``) (:issue:`53831`)
- Bug in :meth:`SeriesGroupBy.nth` and :meth:`DataFrameGroupBy.nth` after performing column selection when using ``dropna="any"`` or ``dropna="all"`` would not subset columns (:issue:`53518`)
- Bug in :meth:`SeriesGroupBy.nth` and :meth:`DataFrameGroupBy.nth` raised after performing column selection when using ``dropna="any"`` or ``dropna="all"`` resulted in rows being dropped (:issue:`53518`)
- Bug in :meth:`SeriesGroupBy.sum` and :meth:`DataFrameGroupby.sum` summing ``np.inf + np.inf`` and ``(-np.inf) + (-np.inf)`` to ``np.nan`` (:issue:`53606`)
diff --git a/pandas/core/groupby/groupby.py b/pandas/core/groupby/groupby.py
index 64d874a31c428..8d8302826462e 100644
--- a/pandas/core/groupby/groupby.py
+++ b/pandas/core/groupby/groupby.py
@@ -104,6 +104,7 @@ class providing the base-class of operations.
Categorical,
ExtensionArray,
FloatingArray,
+ IntegerArray,
)
from pandas.core.base import (
PandasObject,
@@ -2248,6 +2249,12 @@ def hfunc(bvalues: ArrayLike) -> ArrayLike:
masked = mask & ~isna(bvalues)
counted = lib.count_level_2d(masked, labels=ids, max_bin=ngroups)
+ if isinstance(bvalues, BaseMaskedArray):
+ return IntegerArray(
+ counted[0], mask=np.zeros(counted.shape[1], dtype=np.bool_)
+ )
+ elif isinstance(bvalues, ArrowExtensionArray):
+ return type(bvalues)._from_sequence(counted[0])
if is_series:
assert counted.ndim == 2
assert counted.shape[0] == 1
diff --git a/pandas/tests/extension/test_arrow.py b/pandas/tests/extension/test_arrow.py
index b6fa4fbcaa92c..197cdc3f436a1 100644
--- a/pandas/tests/extension/test_arrow.py
+++ b/pandas/tests/extension/test_arrow.py
@@ -3154,6 +3154,18 @@ def test_to_numpy_temporal(pa_type):
tm.assert_numpy_array_equal(result, expected)
+def test_groupby_count_return_arrow_dtype(data_missing):
+ df = pd.DataFrame({"A": [1, 1], "B": data_missing, "C": data_missing})
+ result = df.groupby("A").count()
+ expected = pd.DataFrame(
+ [[1, 1]],
+ index=pd.Index([1], name="A"),
+ columns=["B", "C"],
+ dtype="int64[pyarrow]",
+ )
+ tm.assert_frame_equal(result, expected)
+
+
def test_arrowextensiondtype_dataframe_repr():
# GH 54062
df = pd.DataFrame(
diff --git a/pandas/tests/groupby/aggregate/test_cython.py b/pandas/tests/groupby/aggregate/test_cython.py
index 873e3e73c7cf5..e05fee9d75b32 100644
--- a/pandas/tests/groupby/aggregate/test_cython.py
+++ b/pandas/tests/groupby/aggregate/test_cython.py
@@ -343,9 +343,27 @@ def test_cython_agg_nullable_int(op_name):
# the result is not yet consistently using Int64/Float64 dtype,
# so for now just checking the values by casting to float
result = result.astype("float64")
+ else:
+ result = result.astype("int64")
tm.assert_series_equal(result, expected)
+@pytest.mark.parametrize("dtype", ["Int64", "Float64", "boolean"])
+def test_count_masked_returns_masked_dtype(dtype):
+ df = DataFrame(
+ {
+ "A": [1, 1],
+ "B": pd.array([1, pd.NA], dtype=dtype),
+ "C": pd.array([1, 1], dtype=dtype),
+ }
+ )
+ result = df.groupby("A").count()
+ expected = DataFrame(
+ [[1, 2]], index=Index([1], name="A"), columns=["B", "C"], dtype="Int64"
+ )
+ tm.assert_frame_equal(result, expected)
+
+
@pytest.mark.parametrize("with_na", [True, False])
@pytest.mark.parametrize(
"op_name, action",
| - [x] closes #53831 (Replace xxxx with the GitHub issue number)
- [x] [Tests added and passed](https://pandas.pydata.org/pandas-docs/dev/development/contributing_codebase.html#writing-tests) if fixing a bug or adding a new feature
- [x] All [code checks passed](https://pandas.pydata.org/pandas-docs/dev/development/contributing_codebase.html#pre-commit).
- [x] Added [type annotations](https://pandas.pydata.org/pandas-docs/dev/development/contributing_codebase.html#type-hints) to new arguments/methods/functions.
- [x] Added an entry in the latest `doc/source/whatsnew/vX.X.X.rst` file if fixing a bug or adding a new feature.
| https://api.github.com/repos/pandas-dev/pandas/pulls/54129 | 2023-07-14T20:14:18Z | 2023-07-24T17:45:09Z | 2023-07-24T17:45:09Z | 2023-07-24T21:28:53Z |
DOC: Fixing EX01 - Added examples | diff --git a/ci/code_checks.sh b/ci/code_checks.sh
index 989ef6958d2e6..7dd347327f3cc 100755
--- a/ci/code_checks.sh
+++ b/ci/code_checks.sh
@@ -88,7 +88,6 @@ if [[ -z "$CHECK" || "$CHECK" == "docstrings" ]]; then
pandas.errors.UnsupportedFunctionCall \
pandas.test \
pandas.NaT \
- pandas.io.formats.style.Styler.to_html \
pandas.read_feather \
pandas.DataFrame.to_feather \
pandas.read_parquet \
@@ -112,15 +111,6 @@ if [[ -z "$CHECK" || "$CHECK" == "docstrings" ]]; then
pandas.DatetimeIndex.snap \
pandas.api.indexers.BaseIndexer \
pandas.api.indexers.VariableOffsetWindowIndexer \
- pandas.io.formats.style.Styler.set_caption \
- pandas.io.formats.style.Styler.set_sticky \
- pandas.io.formats.style.Styler.set_uuid \
- pandas.io.formats.style.Styler.clear \
- pandas.io.formats.style.Styler.highlight_null \
- pandas.io.formats.style.Styler.highlight_max \
- pandas.io.formats.style.Styler.highlight_min \
- pandas.io.formats.style.Styler.bar \
- pandas.io.formats.style.Styler.to_string \
pandas.api.extensions.ExtensionDtype \
pandas.api.extensions.ExtensionArray \
pandas.arrays.PandasArray \
diff --git a/pandas/io/formats/style.py b/pandas/io/formats/style.py
index 278527fa8fc85..a45ea881d8dad 100644
--- a/pandas/io/formats/style.py
+++ b/pandas/io/formats/style.py
@@ -1307,6 +1307,21 @@ def to_html(
See Also
--------
DataFrame.to_html: Write a DataFrame to a file, buffer or string in HTML format.
+
+ Examples
+ --------
+ >>> df = pd.DataFrame({'A': [1, 2], 'B': [3, 4]})
+ >>> print(df.style.to_html()) # doctest: +SKIP
+ <style type="text/css">
+ </style>
+ <table id="T_1e78e">
+ <thead>
+ <tr>
+ <th class="blank level0" > </th>
+ <th id="T_1e78e_level0_col0" class="col_heading level0 col0" >A</th>
+ <th id="T_1e78e_level0_col1" class="col_heading level0 col1" >B</th>
+ </tr>
+ ...
"""
obj = self._copy(deepcopy=True) # manipulate table_styles on obj, not self
@@ -1419,6 +1434,12 @@ def to_string(
-------
str or None
If `buf` is None, returns the result as a string. Otherwise returns `None`.
+
+ Examples
+ --------
+ >>> df = pd.DataFrame({'A': [1, 2], 'B': [3, 4]})
+ >>> df.style.to_string()
+ ' A B\\n0 1 3\\n1 2 4\\n'
"""
obj = self._copy(deepcopy=True)
@@ -1650,6 +1671,21 @@ def clear(self) -> None:
Reset the ``Styler``, removing any previously applied styles.
Returns None.
+
+ Examples
+ --------
+ >>> df = pd.DataFrame({'A': [1, 2], 'B': [3, np.nan]})
+
+ After any added style:
+
+ >>> df.style.highlight_null(color='yellow') # doctest: +SKIP
+
+ Remove it with:
+
+ >>> df.style.clear() # doctest: +SKIP
+
+ Please see:
+ `Table Visualization <../../user_guide/style.ipynb>`_ for more examples.
"""
# create default GH 40675
clean_copy = Styler(self.data, uuid=self.uuid)
@@ -2257,6 +2293,22 @@ def set_uuid(self, uuid: str) -> Styler:
Almost all HTML elements within the table, and including the ``<table>`` element
are assigned ``id`` attributes. The format is ``T_uuid_<extra>`` where
``<extra>`` is typically a more specific identifier, such as ``row1_col2``.
+
+ Examples
+ --------
+ >>> df = pd.DataFrame([[1, 2], [3, 4]], index=['A', 'B'], columns=['c1', 'c2'])
+
+ You can get the `id` attributes with the following:
+
+ >>> print((df).style.to_html()) # doctest: +SKIP
+
+ To add a title to column `c1`, its `id` is T_20a7d_level0_col0:
+
+ >>> df.style.set_uuid("T_20a7d_level0_col0")
+ ... .set_caption("Test") # doctest: +SKIP
+
+ Please see:
+ `Table visualization <../../user_guide/style.ipynb>`_ for more examples.
"""
self.uuid = uuid
return self
@@ -2275,6 +2327,14 @@ def set_caption(self, caption: str | tuple | list) -> Styler:
Returns
-------
Styler
+
+ Examples
+ --------
+ >>> df = pd.DataFrame({'A': [1, 2], 'B': [3, 4]})
+ >>> df.style.set_caption("test") # doctest: +SKIP
+
+ Please see:
+ `Table Visualization <../../user_guide/style.ipynb>`_ for more examples.
"""
msg = "`caption` must be either a string or 2-tuple of strings."
if isinstance(caption, (list, tuple)):
@@ -2323,6 +2383,14 @@ def set_sticky(
- `styler.set_sticky(axis="columns").hide(axis="columns")`
may produce strange behaviour due to CSS controls with missing elements.
+
+ Examples
+ --------
+ >>> df = pd.DataFrame({'A': [1, 2], 'B': [3, 4]})
+ >>> df.style.set_sticky(axis="index") # doctest: +SKIP
+
+ Please see:
+ `Table Visualization <../../user_guide/style.ipynb>`_ for more examples.
"""
axis = self.data._get_axis_number(axis)
obj = self.data.index if axis == 0 else self.data.columns
@@ -3073,6 +3141,11 @@ def bar( # pylint: disable=disallowed-name
This section of the user guide:
`Table Visualization <../../user_guide/style.ipynb>`_ gives
a number of examples for different settings and color coordination.
+
+ Examples
+ --------
+ >>> df = pd.DataFrame({'A': [1, 2, 3, 4], 'B': [3, 4, 5, 6]})
+ >>> df.style.bar(subset=['A'], color='gray') # doctest: +SKIP
"""
if color is None and cmap is None:
color = "#d65f5f"
@@ -3147,6 +3220,14 @@ def highlight_null(
Styler.highlight_min: Highlight the minimum with a style.
Styler.highlight_between: Highlight a defined range with a style.
Styler.highlight_quantile: Highlight values defined by a quantile with a style.
+
+ Examples
+ --------
+ >>> df = pd.DataFrame({'A': [1, 2], 'B': [3, np.nan]})
+ >>> df.style.highlight_null(color='yellow') # doctest: +SKIP
+
+ Please see:
+ `Table Visualization <../../user_guide/style.ipynb>`_ for more examples.
"""
def f(data: DataFrame, props: str) -> np.ndarray:
@@ -3193,6 +3274,14 @@ def highlight_max(
Styler.highlight_min: Highlight the minimum with a style.
Styler.highlight_between: Highlight a defined range with a style.
Styler.highlight_quantile: Highlight values defined by a quantile with a style.
+
+ Examples
+ --------
+ >>> df = pd.DataFrame({'A': [2, 1], 'B': [3, 4]})
+ >>> df.style.highlight_max(color='yellow') # doctest: +SKIP
+
+ Please see:
+ `Table Visualization <../../user_guide/style.ipynb>`_ for more examples.
"""
if props is None:
@@ -3241,6 +3330,14 @@ def highlight_min(
Styler.highlight_max: Highlight the maximum with a style.
Styler.highlight_between: Highlight a defined range with a style.
Styler.highlight_quantile: Highlight values defined by a quantile with a style.
+
+ Examples
+ --------
+ >>> df = pd.DataFrame({'A': [2, 1], 'B': [3, 4]})
+ >>> df.style.highlight_min(color='yellow') # doctest: +SKIP
+
+ Please see:
+ `Table Visualization <../../user_guide/style.ipynb>`_ for more examples.
"""
if props is None:
| - [x] All [code checks passed](https://pandas.pydata.org/pandas-docs/dev/development/contributing_codebase.html#pre-commit).
Towards https://github.com/pandas-dev/pandas/issues/37875
It's not possible to make the html file for each method before opening the PR:
/preview needed. | https://api.github.com/repos/pandas-dev/pandas/pulls/54127 | 2023-07-14T16:23:34Z | 2023-07-14T17:45:59Z | 2023-07-14T17:45:59Z | 2023-07-18T09:12:11Z |
DOC: Fixing EX01 - Added example | diff --git a/ci/code_checks.sh b/ci/code_checks.sh
index 1c6e23746352e..39c7582744601 100755
--- a/ci/code_checks.sh
+++ b/ci/code_checks.sh
@@ -131,7 +131,6 @@ if [[ -z "$CHECK" || "$CHECK" == "docstrings" ]]; then
pandas.api.extensions.ExtensionArray.ndim \
pandas.api.extensions.ExtensionArray.shape \
pandas.api.extensions.ExtensionArray.tolist \
- pandas.DataFrame.to_gbq \
pandas.DataFrame.__dataframe__
RET=$(($RET + $?)) ; echo $MSG "DONE"
diff --git a/pandas/core/frame.py b/pandas/core/frame.py
index dc32842947a1a..71415f1f785f4 100644
--- a/pandas/core/frame.py
+++ b/pandas/core/frame.py
@@ -2104,6 +2104,25 @@ def to_gbq(
--------
pandas_gbq.to_gbq : This function in the pandas-gbq library.
read_gbq : Read a DataFrame from Google BigQuery.
+
+ Examples
+ --------
+ Example taken from `Google BigQuery documentation
+ <https://cloud.google.com/bigquery/docs/samples/bigquery-pandas-gbq-to-gbq-simple>`_
+
+ >>> project_id = "my-project"
+ >>> table_id = 'my_dataset.my_table'
+ >>> df = pd.DataFrame({
+ ... "my_string": ["a", "b", "c"],
+ ... "my_int64": [1, 2, 3],
+ ... "my_float64": [4.0, 5.0, 6.0],
+ ... "my_bool1": [True, False, True],
+ ... "my_bool2": [False, True, False],
+ ... "my_dates": pd.date_range("now", periods=3),
+ ... }
+ ... )
+
+ >>> df.to_gbq(table_id, project_id=project_id) # doctest: +SKIP
"""
from pandas.io import gbq
| - [ x] All [code checks passed](https://pandas.pydata.org/pandas-docs/dev/development/contributing_codebase.html#pre-commit).
Towards https://github.com/pandas-dev/pandas/issues/37875
~~Modified `validate_docstrings.py`: it was raising for "importing pandas". If I didn't import pandas_gbq on the docstring, the error was for undeclared name.~~
~~Not sure if I have to add a test for that case or if the fix is good enough.~~
| https://api.github.com/repos/pandas-dev/pandas/pulls/54126 | 2023-07-14T13:58:54Z | 2023-07-18T16:35:23Z | 2023-07-18T16:35:23Z | 2023-07-18T16:48:22Z |
DOC: Added depr note to swapaxes docstrings | diff --git a/ci/code_checks.sh b/ci/code_checks.sh
index 0fc8b8217b63f..989ef6958d2e6 100755
--- a/ci/code_checks.sh
+++ b/ci/code_checks.sh
@@ -149,7 +149,6 @@ if [[ -z "$CHECK" || "$CHECK" == "docstrings" ]]; then
pandas.api.extensions.ExtensionArray.shape \
pandas.api.extensions.ExtensionArray.tolist \
pandas.DataFrame.pad \
- pandas.DataFrame.swapaxes \
pandas.DataFrame.plot \
pandas.DataFrame.to_gbq \
pandas.DataFrame.__dataframe__
diff --git a/pandas/core/generic.py b/pandas/core/generic.py
index 9084395871675..e0e9048b20a9d 100644
--- a/pandas/core/generic.py
+++ b/pandas/core/generic.py
@@ -771,9 +771,17 @@ def swapaxes(self, axis1: Axis, axis2: Axis, copy: bool_t | None = None) -> Self
"""
Interchange axes and swap values axes appropriately.
+ .. deprecated:: 2.1.0
+ ``swapaxes`` is deprecated and will be removed.
+ Please use ``transpose`` instead.
+
Returns
-------
same as input
+
+ Examples
+ --------
+ Please see examples for :meth:`DataFrame.transpose`.
"""
warnings.warn(
# GH#51946
| - [x] All [code checks passed](https://pandas.pydata.org/pandas-docs/dev/development/contributing_codebase.html#pre-commit).
Deprecated here: #51960 but docstring note missing there
| https://api.github.com/repos/pandas-dev/pandas/pulls/54125 | 2023-07-14T10:38:09Z | 2023-07-14T12:54:11Z | 2023-07-14T12:54:11Z | 2023-07-14T13:46:54Z |
TST:add tests for kurt in integer/test_reduction.py | diff --git a/pandas/core/arrays/masked.py b/pandas/core/arrays/masked.py
index b5c686f53597f..1f3790e0dfccc 100644
--- a/pandas/core/arrays/masked.py
+++ b/pandas/core/arrays/masked.py
@@ -1126,7 +1126,7 @@ def _wrap_na_result(self, *, name, axis, mask_size):
mask = np.ones(mask_size, dtype=bool)
float_dtyp = "float32" if self.dtype == "Float32" else "float64"
- if name in ["mean", "median", "var", "std", "skew"]:
+ if name in ["mean", "median", "var", "std", "skew", "kurt"]:
np_dtype = float_dtyp
elif name in ["min", "max"] or self.dtype.itemsize == 8:
np_dtype = self.dtype.numpy_dtype.name
diff --git a/pandas/tests/arrays/integer/test_reduction.py b/pandas/tests/arrays/integer/test_reduction.py
index 5326a8cb0356b..1c91cd25ba69c 100644
--- a/pandas/tests/arrays/integer/test_reduction.py
+++ b/pandas/tests/arrays/integer/test_reduction.py
@@ -22,6 +22,7 @@
["var", np.float64(0.5)],
["std", np.float64(0.5**0.5)],
["skew", pd.NA],
+ ["kurt", pd.NA],
["any", True],
["all", True],
],
@@ -44,6 +45,7 @@ def test_series_reductions(op, expected):
["var", Series([0.5], index=["a"], dtype="Float64")],
["std", Series([0.5**0.5], index=["a"], dtype="Float64")],
["skew", Series([pd.NA], index=["a"], dtype="Float64")],
+ ["kurt", Series([pd.NA], index=["a"], dtype="Float64")],
["any", Series([True], index=["a"], dtype="boolean")],
["all", Series([True], index=["a"], dtype="boolean")],
],
@@ -95,6 +97,7 @@ def test_groupby_reductions(op, expected):
["var", Series([2, 2], index=["B", "C"], dtype="Float64")],
["std", Series([2**0.5, 2**0.5], index=["B", "C"], dtype="Float64")],
["skew", Series([pd.NA, pd.NA], index=["B", "C"], dtype="Float64")],
+ ["kurt", Series([pd.NA, pd.NA], index=["B", "C"], dtype="Float64")],
["any", Series([True, True, True], index=["A", "B", "C"], dtype="boolean")],
["all", Series([True, True, True], index=["A", "B", "C"], dtype="boolean")],
],
| Follow-up to https://github.com/pandas-dev/pandas/pull/52788#discussion_r1262810432. | https://api.github.com/repos/pandas-dev/pandas/pulls/54119 | 2023-07-13T22:26:13Z | 2023-07-14T16:40:38Z | 2023-07-14T16:40:38Z | 2023-07-14T17:18:44Z |
CoW: Set refs properly for non CoW mode | diff --git a/pandas/core/generic.py b/pandas/core/generic.py
index 9084395871675..c67250ed3164b 100644
--- a/pandas/core/generic.py
+++ b/pandas/core/generic.py
@@ -794,11 +794,7 @@ def swapaxes(self, axis1: Axis, axis2: Axis, copy: bool_t | None = None) -> Self
new_axes = [self._get_axis(mapping.get(k, k)) for k in range(self._AXIS_LEN)]
new_values = self._values.swapaxes(i, j) # type: ignore[union-attr]
- if (
- using_copy_on_write()
- and self._mgr.is_single_block
- and isinstance(self._mgr, BlockManager)
- ):
+ if self._mgr.is_single_block and isinstance(self._mgr, BlockManager):
# This should only get hit in case of having a single block, otherwise a
# copy is made, we don't have to set up references.
new_mgr = ndarray_to_mgr(
@@ -815,10 +811,10 @@ def swapaxes(self, axis1: Axis, axis2: Axis, copy: bool_t | None = None) -> Self
new_mgr.blocks[0].refs.add_reference(
new_mgr.blocks[0] # type: ignore[arg-type]
)
- return self._constructor(new_mgr).__finalize__(self, method="swapaxes")
+ if not using_copy_on_write() and copy is not False:
+ new_mgr = new_mgr.copy(deep=True)
- elif (copy or copy is None) and self._mgr.is_single_block:
- new_values = new_values.copy()
+ return self._constructor(new_mgr).__finalize__(self, method="swapaxes")
return self._constructor(
new_values,
diff --git a/pandas/core/internals/blocks.py b/pandas/core/internals/blocks.py
index ae77bd09f8995..aca50ffba077e 100644
--- a/pandas/core/internals/blocks.py
+++ b/pandas/core/internals/blocks.py
@@ -486,7 +486,7 @@ def _downcast_2d(self, dtype, using_cow: bool = False) -> list[Block]:
"""
new_values = maybe_downcast_to_dtype(self.values, dtype=dtype)
new_values = maybe_coerce_values(new_values)
- refs = self.refs if using_cow and new_values is self.values else None
+ refs = self.refs if new_values is self.values else None
return [self.make_block(new_values, refs=refs)]
@final
@@ -529,7 +529,7 @@ def convert(
refs = None
if copy and res_values is values:
res_values = values.copy()
- elif res_values is values and using_cow:
+ elif res_values is values:
refs = self.refs
res_values = ensure_block_shape(res_values, self.ndim)
@@ -577,7 +577,7 @@ def astype(
new_values = maybe_coerce_values(new_values)
refs = None
- if using_cow and astype_is_view(values.dtype, new_values.dtype):
+ if (using_cow or not copy) and astype_is_view(values.dtype, new_values.dtype):
refs = self.refs
newb = self.make_block(new_values, refs=refs)
@@ -914,7 +914,7 @@ def _replace_coerce(
nb = self.astype(np.dtype(object), copy=False, using_cow=using_cow)
if (nb is self or using_cow) and not inplace:
nb = nb.copy()
- elif inplace and has_ref and nb.refs.has_reference():
+ elif inplace and has_ref and nb.refs.has_reference() and using_cow:
# no copy in astype and we had refs before
nb = nb.copy()
putmask_inplace(nb.values, mask, value)
diff --git a/pandas/core/series.py b/pandas/core/series.py
index f17a633259816..079366a942f8e 100644
--- a/pandas/core/series.py
+++ b/pandas/core/series.py
@@ -893,7 +893,7 @@ def view(self, dtype: Dtype | None = None) -> Series:
# implementation
res_values = self.array.view(dtype)
res_ser = self._constructor(res_values, index=self.index, copy=False)
- if isinstance(res_ser._mgr, SingleBlockManager) and using_copy_on_write():
+ if isinstance(res_ser._mgr, SingleBlockManager):
blk = res_ser._mgr._block
blk.refs = cast("BlockValuesRefs", self._references)
blk.refs.add_reference(blk) # type: ignore[arg-type]
| - [ ] closes #xxxx (Replace xxxx with the GitHub issue number)
- [ ] [Tests added and passed](https://pandas.pydata.org/pandas-docs/dev/development/contributing_codebase.html#writing-tests) if fixing a bug or adding a new feature
- [ ] All [code checks passed](https://pandas.pydata.org/pandas-docs/dev/development/contributing_codebase.html#pre-commit).
- [ ] Added [type annotations](https://pandas.pydata.org/pandas-docs/dev/development/contributing_codebase.html#type-hints) to new arguments/methods/functions.
- [ ] Added an entry in the latest `doc/source/whatsnew/vX.X.X.rst` file if fixing a bug or adding a new feature.
| https://api.github.com/repos/pandas-dev/pandas/pulls/54118 | 2023-07-13T20:19:55Z | 2023-07-17T21:26:04Z | 2023-07-17T21:26:04Z | 2023-07-17T21:26:09Z |
CoW: Avoid unnecessary copies for columnwise replace | diff --git a/pandas/core/frame.py b/pandas/core/frame.py
index 6fdd6cb2a639e..5cf0e9d9f2796 100644
--- a/pandas/core/frame.py
+++ b/pandas/core/frame.py
@@ -4158,11 +4158,15 @@ def _set_item_mgr(
if len(self):
self._check_setitem_copy()
- def _iset_item(self, loc: int, value: Series) -> None:
+ def _iset_item(self, loc: int, value: Series, inplace: bool = True) -> None:
# We are only called from _replace_columnwise which guarantees that
# no reindex is necessary
- # TODO(CoW): Optimize to avoid copy here, but have ton track refs
- self._iset_item_mgr(loc, value._values.copy(), inplace=True)
+ if using_copy_on_write():
+ self._iset_item_mgr(
+ loc, value._values, inplace=inplace, refs=value._references
+ )
+ else:
+ self._iset_item_mgr(loc, value._values.copy(), inplace=True)
# check if we are modifying a copy
# try to set first as we want an invalid
@@ -5480,7 +5484,7 @@ def _replace_columnwise(
target, value = mapping[ax_value]
newobj = ser.replace(target, value, regex=regex)
- res._iset_item(i, newobj)
+ res._iset_item(i, newobj, inplace=inplace)
if inplace:
return
diff --git a/pandas/core/internals/managers.py b/pandas/core/internals/managers.py
index 0d24f742b97c7..93badf2178c3d 100644
--- a/pandas/core/internals/managers.py
+++ b/pandas/core/internals/managers.py
@@ -1099,7 +1099,9 @@ def value_getitem(placement):
if inplace and blk.should_store(value):
# Updating inplace -> check if we need to do Copy-on-Write
if using_copy_on_write() and not self._has_no_reference_block(blkno_l):
- self._iset_split_block(blkno_l, blk_locs, value_getitem(val_locs))
+ self._iset_split_block(
+ blkno_l, blk_locs, value_getitem(val_locs), refs=refs
+ )
else:
blk.set_inplace(blk_locs, value_getitem(val_locs))
continue
diff --git a/pandas/tests/copy_view/test_replace.py b/pandas/tests/copy_view/test_replace.py
index dfb1caa4b2ffd..83fe5c12b1c4f 100644
--- a/pandas/tests/copy_view/test_replace.py
+++ b/pandas/tests/copy_view/test_replace.py
@@ -364,12 +364,22 @@ def test_replace_list_none_inplace_refs(using_copy_on_write):
assert np.shares_memory(arr, get_array(df, "a"))
+def test_replace_columnwise_no_op_inplace(using_copy_on_write):
+ df = DataFrame({"a": [1, 2, 3], "b": [1, 2, 3]})
+ view = df[:]
+ df_orig = df.copy()
+ df.replace({"a": 10}, 100, inplace=True)
+ if using_copy_on_write:
+ assert np.shares_memory(get_array(view, "a"), get_array(df, "a"))
+ df.iloc[0, 0] = 100
+ tm.assert_frame_equal(view, df_orig)
+
+
def test_replace_columnwise_no_op(using_copy_on_write):
df = DataFrame({"a": [1, 2, 3], "b": [1, 2, 3]})
df_orig = df.copy()
df2 = df.replace({"a": 10}, 100)
if using_copy_on_write:
- # TODO(CoW): This should share memory
- assert not np.shares_memory(get_array(df2, "a"), get_array(df, "a"))
+ assert np.shares_memory(get_array(df2, "a"), get_array(df, "a"))
df2.iloc[0, 0] = 100
tm.assert_frame_equal(df, df_orig)
| - [ ] closes #xxxx (Replace xxxx with the GitHub issue number)
- [ ] [Tests added and passed](https://pandas.pydata.org/pandas-docs/dev/development/contributing_codebase.html#writing-tests) if fixing a bug or adding a new feature
- [ ] All [code checks passed](https://pandas.pydata.org/pandas-docs/dev/development/contributing_codebase.html#pre-commit).
- [ ] Added [type annotations](https://pandas.pydata.org/pandas-docs/dev/development/contributing_codebase.html#type-hints) to new arguments/methods/functions.
- [ ] Added an entry in the latest `doc/source/whatsnew/vX.X.X.rst` file if fixing a bug or adding a new feature.
| https://api.github.com/repos/pandas-dev/pandas/pulls/54117 | 2023-07-13T20:17:48Z | 2023-07-17T10:39:18Z | 2023-07-17T10:39:18Z | 2023-07-17T11:56:48Z |
CoW: Copy less in replace implementation with listlikes | diff --git a/pandas/core/internals/blocks.py b/pandas/core/internals/blocks.py
index 69fa711d9e375..d0de1ed77c3a6 100644
--- a/pandas/core/internals/blocks.py
+++ b/pandas/core/internals/blocks.py
@@ -11,6 +11,7 @@
final,
)
import warnings
+import weakref
import numpy as np
@@ -839,7 +840,7 @@ def replace_list(
if inplace:
masks = list(masks)
- if using_cow and inplace:
+ if using_cow:
# Don't set up refs here, otherwise we will think that we have
# references when we check again later
rb = [self]
@@ -872,6 +873,17 @@ def replace_list(
regex=regex,
using_cow=using_cow,
)
+
+ if using_cow and i != src_len:
+ # This is ugly, but we have to get rid of intermediate refs
+ # that did not go out of scope yet, otherwise we will trigger
+ # many unnecessary copies
+ for b in result:
+ ref = weakref.ref(b)
+ b.refs.referenced_blocks.pop(
+ b.refs.referenced_blocks.index(ref)
+ )
+
if convert and blk.is_object and not all(x is None for x in dest_list):
# GH#44498 avoid unwanted cast-back
result = extend_blocks(
@@ -936,7 +948,7 @@ def _replace_coerce(
putmask_inplace(nb.values, mask, value)
return [nb]
if using_cow:
- return [self.copy(deep=False)]
+ return [self]
return [self] if inplace else [self.copy()]
return self.replace(
to_replace=to_replace,
diff --git a/pandas/tests/copy_view/test_replace.py b/pandas/tests/copy_view/test_replace.py
index 72e15281e5986..085f355dc4377 100644
--- a/pandas/tests/copy_view/test_replace.py
+++ b/pandas/tests/copy_view/test_replace.py
@@ -333,8 +333,7 @@ def test_replace_list_multiple_elements_inplace(using_copy_on_write):
arr = get_array(df, "a")
df.replace([1, 2], 4, inplace=True)
if using_copy_on_write:
- # TODO(CoW): This should share memory
- assert not np.shares_memory(arr, get_array(df, "a"))
+ assert np.shares_memory(arr, get_array(df, "a"))
assert df._mgr._has_no_reference(0)
else:
assert np.shares_memory(arr, get_array(df, "a"))
@@ -396,3 +395,38 @@ def test_replace_chained_assignment(using_copy_on_write):
with tm.raises_chained_assignment_error():
df[["a"]].replace(1, 100, inplace=True)
tm.assert_frame_equal(df, df_orig)
+
+
+def test_replace_listlike(using_copy_on_write):
+ df = DataFrame({"a": [1, 2, 3], "b": [1, 2, 3]})
+ df_orig = df.copy()
+
+ result = df.replace([200, 201], [11, 11])
+ if using_copy_on_write:
+ assert np.shares_memory(get_array(result, "a"), get_array(df, "a"))
+ else:
+ assert not np.shares_memory(get_array(result, "a"), get_array(df, "a"))
+
+ result.iloc[0, 0] = 100
+ tm.assert_frame_equal(df, df)
+
+ result = df.replace([200, 2], [10, 10])
+ assert not np.shares_memory(get_array(df, "a"), get_array(result, "a"))
+ tm.assert_frame_equal(df, df_orig)
+
+
+def test_replace_listlike_inplace(using_copy_on_write):
+ df = DataFrame({"a": [1, 2, 3], "b": [1, 2, 3]})
+ arr = get_array(df, "a")
+ df.replace([200, 2], [10, 11], inplace=True)
+ assert np.shares_memory(get_array(df, "a"), arr)
+
+ view = df[:]
+ df_orig = df.copy()
+ df.replace([200, 3], [10, 11], inplace=True)
+ if using_copy_on_write:
+ assert not np.shares_memory(get_array(df, "a"), arr)
+ tm.assert_frame_equal(view, df_orig)
+ else:
+ assert np.shares_memory(get_array(df, "a"), arr)
+ tm.assert_frame_equal(df, view)
| - [ ] closes #xxxx (Replace xxxx with the GitHub issue number)
- [ ] [Tests added and passed](https://pandas.pydata.org/pandas-docs/dev/development/contributing_codebase.html#writing-tests) if fixing a bug or adding a new feature
- [ ] All [code checks passed](https://pandas.pydata.org/pandas-docs/dev/development/contributing_codebase.html#pre-commit).
- [ ] Added [type annotations](https://pandas.pydata.org/pandas-docs/dev/development/contributing_codebase.html#type-hints) to new arguments/methods/functions.
- [ ] Added an entry in the latest `doc/source/whatsnew/vX.X.X.rst` file if fixing a bug or adding a new feature.
This is the best version I could come up with
| https://api.github.com/repos/pandas-dev/pandas/pulls/54116 | 2023-07-13T20:16:13Z | 2023-08-11T09:16:57Z | 2023-08-11T09:16:57Z | 2023-08-11T09:17:41Z |
ENH: .shift optionally takes multiple periods | diff --git a/doc/source/whatsnew/v2.1.0.rst b/doc/source/whatsnew/v2.1.0.rst
index 8cf7543ae075b..46ca987d7b95b 100644
--- a/doc/source/whatsnew/v2.1.0.rst
+++ b/doc/source/whatsnew/v2.1.0.rst
@@ -168,6 +168,7 @@ Other enhancements
- Added :meth:`ExtensionArray.interpolate` used by :meth:`Series.interpolate` and :meth:`DataFrame.interpolate` (:issue:`53659`)
- Added ``engine_kwargs`` parameter to :meth:`DataFrame.to_excel` (:issue:`53220`)
- Added a new parameter ``by_row`` to :meth:`Series.apply` and :meth:`DataFrame.apply`. When set to ``False`` the supplied callables will always operate on the whole Series or DataFrame (:issue:`53400`, :issue:`53601`).
+- :meth:`DataFrame.shift` and :meth:`Series.shift` now allow shifting by multiple periods by supplying a list of periods (:issue:`44424`)
- Groupby aggregations (such as :meth:`DataFrameGroupby.sum`) now can preserve the dtype of the input instead of casting to ``float64`` (:issue:`44952`)
- Improved error message when :meth:`DataFrameGroupBy.agg` failed (:issue:`52930`)
- Many read/to_* functions, such as :meth:`DataFrame.to_pickle` and :func:`read_csv`, support forwarding compression arguments to lzma.LZMAFile (:issue:`52979`)
diff --git a/pandas/core/frame.py b/pandas/core/frame.py
index 75a177f0969ca..e700b63f35485 100644
--- a/pandas/core/frame.py
+++ b/pandas/core/frame.py
@@ -5578,13 +5578,12 @@ def _replace_columnwise(
@doc(NDFrame.shift, klass=_shared_doc_kwargs["klass"])
def shift(
self,
- periods: int = 1,
+ periods: int | Sequence[int] = 1,
freq: Frequency | None = None,
axis: Axis = 0,
fill_value: Hashable = lib.no_default,
+ suffix: str | None = None,
) -> DataFrame:
- axis = self._get_axis_number(axis)
-
if freq is not None and fill_value is not lib.no_default:
# GH#53832
raise ValueError(
@@ -5592,6 +5591,35 @@ def shift(
f"{type(self).__name__}.shift"
)
+ axis = self._get_axis_number(axis)
+
+ if is_list_like(periods):
+ periods = cast(Sequence, periods)
+ if axis == 1:
+ raise ValueError(
+ "If `periods` contains multiple shifts, `axis` cannot be 1."
+ )
+ if len(periods) == 0:
+ raise ValueError("If `periods` is an iterable, it cannot be empty.")
+ from pandas.core.reshape.concat import concat
+
+ shifted_dataframes = []
+ for period in periods:
+ if not is_integer(period):
+ raise TypeError(
+ f"Periods must be integer, but {period} is {type(period)}."
+ )
+ period = cast(int, period)
+ shifted_dataframes.append(
+ super()
+ .shift(periods=period, freq=freq, axis=axis, fill_value=fill_value)
+ .add_suffix(f"{suffix}_{period}" if suffix else f"_{period}")
+ )
+ return concat(shifted_dataframes, axis=1)
+ elif suffix:
+ raise ValueError("Cannot specify `suffix` if `periods` is an int.")
+ periods = cast(int, periods)
+
ncols = len(self.columns)
arrays = self._mgr.arrays
if axis == 1 and periods != 0 and ncols > 0 and freq is None:
diff --git a/pandas/core/generic.py b/pandas/core/generic.py
index 9d09665b15be9..6e85d79afdbf8 100644
--- a/pandas/core/generic.py
+++ b/pandas/core/generic.py
@@ -10545,11 +10545,12 @@ def mask(
@doc(klass=_shared_doc_kwargs["klass"])
def shift(
self,
- periods: int = 1,
+ periods: int | Sequence[int] = 1,
freq=None,
axis: Axis = 0,
fill_value: Hashable = lib.no_default,
- ) -> Self:
+ suffix: str | None = None,
+ ) -> Self | DataFrame:
"""
Shift index by desired number of periods with an optional time `freq`.
@@ -10562,8 +10563,13 @@ def shift(
Parameters
----------
- periods : int
+ periods : int or Sequence
Number of periods to shift. Can be positive or negative.
+ If an iterable of ints, the data will be shifted once by each int.
+ This is equivalent to shifting by one value at a time and
+ concatenating all resulting frames. The resulting columns will have
+ the shift suffixed to their column names. For multiple periods,
+ axis must not be 1.
freq : DateOffset, tseries.offsets, timedelta, or str, optional
Offset to use from the tseries module or time rule (e.g. 'EOM').
If `freq` is specified then the index values are shifted but the
@@ -10580,6 +10586,9 @@ def shift(
For numeric data, ``np.nan`` is used.
For datetime, timedelta, or period data, etc. :attr:`NaT` is used.
For extension dtypes, ``self.dtype.na_value`` is used.
+ suffix : str, optional
+ If str and periods is an iterable, this is added after the column
+ name and before the shift value for each shifted column name.
Returns
-------
@@ -10645,6 +10654,14 @@ def shift(
2020-01-06 15 18 22
2020-01-07 30 33 37
2020-01-08 45 48 52
+
+ >>> df['Col1'].shift(periods=[0, 1, 2])
+ Col1_0 Col1_1 Col1_2
+ 2020-01-01 10 NaN NaN
+ 2020-01-02 20 10.0 NaN
+ 2020-01-03 15 20.0 10.0
+ 2020-01-04 30 15.0 20.0
+ 2020-01-05 45 30.0 15.0
"""
axis = self._get_axis_number(axis)
@@ -10658,6 +10675,12 @@ def shift(
if periods == 0:
return self.copy(deep=None)
+ if is_list_like(periods) and isinstance(self, ABCSeries):
+ return self.to_frame().shift(
+ periods=periods, freq=freq, axis=axis, fill_value=fill_value
+ )
+ periods = cast(int, periods)
+
if freq is None:
# when freq is None, data is shifted, index is not
axis = self._get_axis_number(axis)
diff --git a/pandas/core/groupby/groupby.py b/pandas/core/groupby/groupby.py
index 8d8302826462e..81fadf718f85e 100644
--- a/pandas/core/groupby/groupby.py
+++ b/pandas/core/groupby/groupby.py
@@ -4932,10 +4932,11 @@ def cummax(
@Substitution(name="groupby")
def shift(
self,
- periods: int = 1,
+ periods: int | Sequence[int] = 1,
freq=None,
axis: Axis | lib.NoDefault = lib.no_default,
fill_value=lib.no_default,
+ suffix: str | None = None,
):
"""
Shift each group by periods observations.
@@ -4944,8 +4945,9 @@ def shift(
Parameters
----------
- periods : int, default 1
- Number of periods to shift.
+ periods : int | Sequence[int], default 1
+ Number of periods to shift. If a list of values, shift each group by
+ each period.
freq : str, optional
Frequency string.
axis : axis to shift, default 0
@@ -4961,6 +4963,10 @@ def shift(
.. versionchanged:: 2.1.0
Will raise a ``ValueError`` if ``freq`` is provided too.
+ suffix : str, optional
+ A string to add to each shifted column if there are multiple periods.
+ Ignored otherwise.
+
Returns
-------
Series or DataFrame
@@ -5014,25 +5020,70 @@ def shift(
else:
axis = 0
- if freq is not None or axis != 0:
- f = lambda x: x.shift(periods, freq, axis, fill_value)
- return self._python_apply_general(f, self._selected_obj, is_transform=True)
+ if is_list_like(periods):
+ if axis == 1:
+ raise ValueError(
+ "If `periods` contains multiple shifts, `axis` cannot be 1."
+ )
+ periods = cast(Sequence, periods)
+ if len(periods) == 0:
+ raise ValueError("If `periods` is an iterable, it cannot be empty.")
+ from pandas.core.reshape.concat import concat
- if fill_value is lib.no_default:
- fill_value = None
- ids, _, ngroups = self.grouper.group_info
- res_indexer = np.zeros(len(ids), dtype=np.int64)
+ add_suffix = True
+ else:
+ if not is_integer(periods):
+ raise TypeError(
+ f"Periods must be integer, but {periods} is {type(periods)}."
+ )
+ if suffix:
+ raise ValueError("Cannot specify `suffix` if `periods` is an int.")
+ periods = [cast(int, periods)]
+ add_suffix = False
+
+ shifted_dataframes = []
+ for period in periods:
+ if not is_integer(period):
+ raise TypeError(
+ f"Periods must be integer, but {period} is {type(period)}."
+ )
+ period = cast(int, period)
+ if freq is not None or axis != 0:
+ f = lambda x: x.shift(
+ period, freq, axis, fill_value # pylint: disable=cell-var-from-loop
+ )
+ shifted = self._python_apply_general(
+ f, self._selected_obj, is_transform=True
+ )
+ else:
+ if fill_value is lib.no_default:
+ fill_value = None
+ ids, _, ngroups = self.grouper.group_info
+ res_indexer = np.zeros(len(ids), dtype=np.int64)
- libgroupby.group_shift_indexer(res_indexer, ids, ngroups, periods)
+ libgroupby.group_shift_indexer(res_indexer, ids, ngroups, period)
- obj = self._obj_with_exclusions
+ obj = self._obj_with_exclusions
- res = obj._reindex_with_indexers(
- {self.axis: (obj.axes[self.axis], res_indexer)},
- fill_value=fill_value,
- allow_dups=True,
+ shifted = obj._reindex_with_indexers(
+ {self.axis: (obj.axes[self.axis], res_indexer)},
+ fill_value=fill_value,
+ allow_dups=True,
+ )
+
+ if add_suffix:
+ if isinstance(shifted, Series):
+ shifted = cast(NDFrameT, shifted.to_frame())
+ shifted = shifted.add_suffix(
+ f"{suffix}_{period}" if suffix else f"_{period}"
+ )
+ shifted_dataframes.append(cast(Union[Series, DataFrame], shifted))
+
+ return (
+ shifted_dataframes[0]
+ if len(shifted_dataframes) == 1
+ else concat(shifted_dataframes, axis=1)
)
- return res
@final
@Substitution(name="groupby")
diff --git a/pandas/core/series.py b/pandas/core/series.py
index 81eea98ab3f65..677d53c7b6459 100644
--- a/pandas/core/series.py
+++ b/pandas/core/series.py
@@ -3028,7 +3028,7 @@ def autocorr(self, lag: int = 1) -> float:
>>> s.autocorr()
nan
"""
- return self.corr(self.shift(lag))
+ return self.corr(cast(Series, self.shift(lag)))
def dot(self, other: AnyArrayLike) -> Series | np.ndarray:
"""
diff --git a/pandas/tests/frame/methods/test_shift.py b/pandas/tests/frame/methods/test_shift.py
index c024cb0387ff2..d2281ad3a7480 100644
--- a/pandas/tests/frame/methods/test_shift.py
+++ b/pandas/tests/frame/methods/test_shift.py
@@ -665,3 +665,81 @@ def test_shift_with_offsets_freq(self):
index=date_range(start="02/01/2000", end="02/01/2000", periods=3),
)
tm.assert_frame_equal(shifted, expected)
+
+ def test_shift_with_iterable_basic_functionality(self):
+ # GH#44424
+ data = {"a": [1, 2, 3], "b": [4, 5, 6]}
+ shifts = [0, 1, 2]
+
+ df = DataFrame(data)
+ shifted = df.shift(shifts)
+
+ expected = DataFrame(
+ {
+ "a_0": [1, 2, 3],
+ "b_0": [4, 5, 6],
+ "a_1": [np.NaN, 1.0, 2.0],
+ "b_1": [np.NaN, 4.0, 5.0],
+ "a_2": [np.NaN, np.NaN, 1.0],
+ "b_2": [np.NaN, np.NaN, 4.0],
+ }
+ )
+ tm.assert_frame_equal(expected, shifted)
+
+ def test_shift_with_iterable_series(self):
+ # GH#44424
+ data = {"a": [1, 2, 3]}
+ shifts = [0, 1, 2]
+
+ df = DataFrame(data)
+ s: Series = df["a"]
+ tm.assert_frame_equal(s.shift(shifts), df.shift(shifts))
+
+ def test_shift_with_iterable_freq_and_fill_value(self):
+ # GH#44424
+ df = DataFrame(
+ np.random.randn(5), index=date_range("1/1/2000", periods=5, freq="H")
+ )
+
+ tm.assert_frame_equal(
+ # rename because shift with an iterable leads to str column names
+ df.shift([1], fill_value=1).rename(columns=lambda x: int(x[0])),
+ df.shift(1, fill_value=1),
+ )
+
+ tm.assert_frame_equal(
+ df.shift([1], freq="H").rename(columns=lambda x: int(x[0])),
+ df.shift(1, freq="H"),
+ )
+
+ msg = r"Cannot pass both 'freq' and 'fill_value' to.*"
+ with pytest.raises(ValueError, match=msg):
+ df.shift([1, 2], fill_value=1, freq="H")
+
+ def test_shift_with_iterable_check_other_arguments(self):
+ # GH#44424
+ data = {"a": [1, 2], "b": [4, 5]}
+ shifts = [0, 1]
+ df = DataFrame(data)
+
+ # test suffix
+ shifted = df[["a"]].shift(shifts, suffix="_suffix")
+ expected = DataFrame({"a_suffix_0": [1, 2], "a_suffix_1": [np.nan, 1.0]})
+ tm.assert_frame_equal(shifted, expected)
+
+ # check bad inputs when doing multiple shifts
+ msg = "If `periods` contains multiple shifts, `axis` cannot be 1."
+ with pytest.raises(ValueError, match=msg):
+ df.shift(shifts, axis=1)
+
+ msg = "Periods must be integer, but s is <class 'str'>."
+ with pytest.raises(TypeError, match=msg):
+ df.shift(["s"])
+
+ msg = "If `periods` is an iterable, it cannot be empty."
+ with pytest.raises(ValueError, match=msg):
+ df.shift([])
+
+ msg = "Cannot specify `suffix` if `periods` is an int."
+ with pytest.raises(ValueError, match=msg):
+ df.shift(1, suffix="fails")
diff --git a/pandas/tests/groupby/test_groupby_shift_diff.py b/pandas/tests/groupby/test_groupby_shift_diff.py
index cec8ea9d351cf..495f3fcd359c7 100644
--- a/pandas/tests/groupby/test_groupby_shift_diff.py
+++ b/pandas/tests/groupby/test_groupby_shift_diff.py
@@ -173,3 +173,77 @@ def test_shift_disallow_freq_and_fill_value():
msg = "Cannot pass both 'freq' and 'fill_value' to (Series|DataFrame).shift"
with pytest.raises(ValueError, match=msg):
df.groupby(df.index).shift(periods=-2, freq="D", fill_value="1")
+
+
+def test_shift_disallow_suffix_if_periods_is_int():
+ # GH#44424
+ data = {"a": [1, 2, 3, 4, 5, 6], "b": [0, 0, 0, 1, 1, 1]}
+ df = DataFrame(data)
+ msg = "Cannot specify `suffix` if `periods` is an int."
+ with pytest.raises(ValueError, match=msg):
+ df.groupby("b").shift(1, suffix="fails")
+
+
+def test_group_shift_with_multiple_periods():
+ # GH#44424
+ df = DataFrame({"a": [1, 2, 3, 3, 2], "b": [True, True, False, False, True]})
+
+ shifted_df = df.groupby("b")[["a"]].shift([0, 1])
+ expected_df = DataFrame(
+ {"a_0": [1, 2, 3, 3, 2], "a_1": [np.nan, 1.0, np.nan, 3.0, 2.0]}
+ )
+ tm.assert_frame_equal(shifted_df, expected_df)
+
+ # series
+ shifted_series = df.groupby("b")["a"].shift([0, 1])
+ tm.assert_frame_equal(shifted_series, expected_df)
+
+
+def test_group_shift_with_multiple_periods_and_freq():
+ # GH#44424
+ df = DataFrame(
+ {"a": [1, 2, 3, 4, 5], "b": [True, True, False, False, True]},
+ index=date_range("1/1/2000", periods=5, freq="H"),
+ )
+ shifted_df = df.groupby("b")[["a"]].shift(
+ [0, 1],
+ freq="H",
+ )
+ expected_df = DataFrame(
+ {
+ "a_0": [1.0, 2.0, 3.0, 4.0, 5.0, np.nan],
+ "a_1": [
+ np.nan,
+ 1.0,
+ 2.0,
+ 3.0,
+ 4.0,
+ 5.0,
+ ],
+ },
+ index=date_range("1/1/2000", periods=6, freq="H"),
+ )
+ tm.assert_frame_equal(shifted_df, expected_df)
+
+
+def test_group_shift_with_multiple_periods_and_fill_value():
+ # GH#44424
+ df = DataFrame(
+ {"a": [1, 2, 3, 4, 5], "b": [True, True, False, False, True]},
+ )
+ shifted_df = df.groupby("b")[["a"]].shift([0, 1], fill_value=-1)
+ expected_df = DataFrame(
+ {"a_0": [1, 2, 3, 4, 5], "a_1": [-1, 1, -1, 3, 2]},
+ )
+ tm.assert_frame_equal(shifted_df, expected_df)
+
+
+def test_group_shift_with_multiple_periods_and_both_fill_and_freq_fails():
+ # GH#44424
+ df = DataFrame(
+ {"a": [1, 2, 3, 4, 5], "b": [True, True, False, False, True]},
+ index=date_range("1/1/2000", periods=5, freq="H"),
+ )
+ msg = r"Cannot pass both 'freq' and 'fill_value' to.*"
+ with pytest.raises(ValueError, match=msg):
+ df.groupby("b")[["a"]].shift([1, 2], fill_value=1, freq="H")
| Taking over from https://github.com/pandas-dev/pandas/pull/44660/files
- [x] closes #44424
- [x] [Tests added and passed](https://pandas.pydata.org/pandas-docs/dev/development/contributing_codebase.html#writing-tests) if fixing a bug or adding a new feature
- [x] All [code checks passed](https://pandas.pydata.org/pandas-docs/dev/development/contributing_codebase.html#pre-commit).
- [x] Added [type annotations](https://pandas.pydata.org/pandas-docs/dev/development/contributing_codebase.html#type-hints) to new arguments/methods/functions.
- [x] Added an entry in the latest `doc/source/whatsnew/v2.1.0.rst` file if fixing a bug or adding a new feature.
| https://api.github.com/repos/pandas-dev/pandas/pulls/54115 | 2023-07-13T20:15:51Z | 2023-07-28T21:57:46Z | 2023-07-28T21:57:46Z | 2023-07-29T20:23:32Z |
TST / CoW: Adjust test to cover missing case | diff --git a/pandas/tests/copy_view/test_indexing.py b/pandas/tests/copy_view/test_indexing.py
index f9b4ba295f3a0..5ef0abbb423ac 100644
--- a/pandas/tests/copy_view/test_indexing.py
+++ b/pandas/tests/copy_view/test_indexing.py
@@ -843,8 +843,9 @@ def test_del_frame(backend, using_copy_on_write):
tm.assert_frame_equal(df2, df_orig[["a", "c"]])
df2._mgr._verify_integrity()
- # TODO in theory modifying column "b" of the parent wouldn't need a CoW
- # but the weakref is still alive and so we still perform CoW
+ df.loc[0, "b"] = 200
+ assert np.shares_memory(get_array(df, "a"), get_array(df2, "a"))
+ df_orig = df.copy()
df2.loc[0, "a"] = 100
if using_copy_on_write:
| - [ ] closes #xxxx (Replace xxxx with the GitHub issue number)
- [ ] [Tests added and passed](https://pandas.pydata.org/pandas-docs/dev/development/contributing_codebase.html#writing-tests) if fixing a bug or adding a new feature
- [ ] All [code checks passed](https://pandas.pydata.org/pandas-docs/dev/development/contributing_codebase.html#pre-commit).
- [ ] Added [type annotations](https://pandas.pydata.org/pandas-docs/dev/development/contributing_codebase.html#type-hints) to new arguments/methods/functions.
- [ ] Added an entry in the latest `doc/source/whatsnew/vX.X.X.rst` file if fixing a bug or adding a new feature.
This was actually working as expected, but we did not test it yet | https://api.github.com/repos/pandas-dev/pandas/pulls/54114 | 2023-07-13T20:14:10Z | 2023-07-17T10:17:00Z | 2023-07-17T10:17:00Z | 2023-07-17T11:57:04Z |
CoW: Fix test that is failing with new arrow version | diff --git a/pandas/compat/pyarrow.py b/pandas/compat/pyarrow.py
index 2f2fb6a3662f4..049ce50920e28 100644
--- a/pandas/compat/pyarrow.py
+++ b/pandas/compat/pyarrow.py
@@ -13,6 +13,7 @@
pa_version_under9p0 = _palv < Version("9.0.0")
pa_version_under10p0 = _palv < Version("10.0.0")
pa_version_under11p0 = _palv < Version("11.0.0")
+ pa_version_under12p0 = _palv < Version("12.0.0")
pa_version_under13p0 = _palv < Version("13.0.0")
except ImportError:
pa_version_under7p0 = True
@@ -20,4 +21,5 @@
pa_version_under9p0 = True
pa_version_under10p0 = True
pa_version_under11p0 = True
+ pa_version_under12p0 = True
pa_version_under13p0 = True
diff --git a/pandas/tests/copy_view/test_astype.py b/pandas/tests/copy_view/test_astype.py
index e89bdd5af348d..4b751ad452ec4 100644
--- a/pandas/tests/copy_view/test_astype.py
+++ b/pandas/tests/copy_view/test_astype.py
@@ -2,6 +2,7 @@
import pytest
from pandas.compat import pa_version_under7p0
+from pandas.compat.pyarrow import pa_version_under12p0
import pandas.util._test_decorators as td
import pandas as pd
@@ -200,11 +201,14 @@ def test_astype_arrow_timestamp(using_copy_on_write):
result = df.astype("timestamp[ns][pyarrow]")
if using_copy_on_write:
assert not result._mgr._has_no_reference(0)
- # TODO(CoW): arrow is not setting copy=False in the Series constructor
- # under the hood
- assert not np.shares_memory(
- get_array(df, "a"), get_array(result, "a")._pa_array
- )
+ if pa_version_under12p0:
+ assert not np.shares_memory(
+ get_array(df, "a"), get_array(result, "a")._pa_array
+ )
+ else:
+ assert np.shares_memory(
+ get_array(df, "a"), get_array(result, "a")._pa_array
+ )
def test_convert_dtypes_infer_objects(using_copy_on_write):
| - [ ] closes #xxxx (Replace xxxx with the GitHub issue number)
- [ ] [Tests added and passed](https://pandas.pydata.org/pandas-docs/dev/development/contributing_codebase.html#writing-tests) if fixing a bug or adding a new feature
- [ ] All [code checks passed](https://pandas.pydata.org/pandas-docs/dev/development/contributing_codebase.html#pre-commit).
- [ ] Added [type annotations](https://pandas.pydata.org/pandas-docs/dev/development/contributing_codebase.html#type-hints) to new arguments/methods/functions.
- [ ] Added an entry in the latest `doc/source/whatsnew/vX.X.X.rst` file if fixing a bug or adding a new feature.
| https://api.github.com/repos/pandas-dev/pandas/pulls/54112 | 2023-07-13T20:09:34Z | 2023-07-17T11:53:32Z | 2023-07-17T11:53:32Z | 2023-07-17T11:53:35Z |
CoW: Avoid tracking references in delete if not necessary | diff --git a/pandas/core/internals/blocks.py b/pandas/core/internals/blocks.py
index 69fa711d9e375..815417277f270 100644
--- a/pandas/core/internals/blocks.py
+++ b/pandas/core/internals/blocks.py
@@ -317,7 +317,7 @@ def take_block_columns(self, indices: npt.NDArray[np.intp]) -> Self:
@final
def getitem_block_columns(
- self, slicer: slice, new_mgr_locs: BlockPlacement
+ self, slicer: slice, new_mgr_locs: BlockPlacement, ref_inplace_op: bool = False
) -> Self:
"""
Perform __getitem__-like, return result as block.
@@ -325,7 +325,8 @@ def getitem_block_columns(
Only supports slices that preserve dimensionality.
"""
new_values = self._slice(slicer)
- return type(self)(new_values, new_mgr_locs, self.ndim, refs=self.refs)
+ refs = self.refs if not ref_inplace_op or self.refs.has_reference() else None
+ return type(self)(new_values, new_mgr_locs, self.ndim, refs=refs)
@final
def _can_hold_element(self, element: Any) -> bool:
diff --git a/pandas/core/internals/managers.py b/pandas/core/internals/managers.py
index 05577fb971061..f7ea68e4b0eb5 100644
--- a/pandas/core/internals/managers.py
+++ b/pandas/core/internals/managers.py
@@ -674,6 +674,7 @@ def _slice_take_blocks_ax0(
only_slice: bool = False,
*,
use_na_proxy: bool = False,
+ ref_inplace_op: bool = False,
) -> list[Block]:
"""
Slice/take blocks along axis=0.
@@ -689,6 +690,8 @@ def _slice_take_blocks_ax0(
This is used when called from ops.blockwise.operate_blockwise.
use_na_proxy : bool, default False
Whether to use a np.void ndarray for newly introduced columns.
+ ref_inplace_op: bool, default False
+ Don't track refs if True because we operate inplace
Returns
-------
@@ -719,7 +722,9 @@ def _slice_take_blocks_ax0(
# views instead of copies
blocks = [
blk.getitem_block_columns(
- slice(ml, ml + 1), new_mgr_locs=BlockPlacement(i)
+ slice(ml, ml + 1),
+ new_mgr_locs=BlockPlacement(i),
+ ref_inplace_op=ref_inplace_op,
)
for i, ml in enumerate(slobj)
]
@@ -1381,7 +1386,7 @@ def idelete(self, indexer) -> BlockManager:
is_deleted[indexer] = True
taker = (~is_deleted).nonzero()[0]
- nbs = self._slice_take_blocks_ax0(taker, only_slice=True)
+ nbs = self._slice_take_blocks_ax0(taker, only_slice=True, ref_inplace_op=True)
new_columns = self.items[~is_deleted]
axes = [new_columns, self.axes[1]]
return type(self)(tuple(nbs), axes, verify_integrity=False)
diff --git a/pandas/tests/copy_view/test_core_functionalities.py b/pandas/tests/copy_view/test_core_functionalities.py
index 08e49aa3813d8..5c177465d2fa4 100644
--- a/pandas/tests/copy_view/test_core_functionalities.py
+++ b/pandas/tests/copy_view/test_core_functionalities.py
@@ -80,11 +80,21 @@ def test_delete(using_copy_on_write):
)
del df["b"]
if using_copy_on_write:
- # TODO: This should not have references, delete makes a shallow copy
- # but keeps the blocks alive
- assert df._mgr.blocks[0].refs.has_reference()
- assert df._mgr.blocks[1].refs.has_reference()
+ assert not df._mgr.blocks[0].refs.has_reference()
+ assert not df._mgr.blocks[1].refs.has_reference()
df = df[["a"]]
if using_copy_on_write:
assert not df._mgr.blocks[0].refs.has_reference()
+
+
+def test_delete_reference(using_copy_on_write):
+ df = DataFrame(
+ np.random.default_rng(2).standard_normal((4, 3)), columns=["a", "b", "c"]
+ )
+ x = df[:]
+ del df["b"]
+ if using_copy_on_write:
+ assert df._mgr.blocks[0].refs.has_reference()
+ assert df._mgr.blocks[1].refs.has_reference()
+ assert x._mgr.blocks[0].refs.has_reference()
| - [ ] closes #xxxx (Replace xxxx with the GitHub issue number)
- [ ] [Tests added and passed](https://pandas.pydata.org/pandas-docs/dev/development/contributing_codebase.html#writing-tests) if fixing a bug or adding a new feature
- [ ] All [code checks passed](https://pandas.pydata.org/pandas-docs/dev/development/contributing_codebase.html#pre-commit).
- [ ] Added [type annotations](https://pandas.pydata.org/pandas-docs/dev/development/contributing_codebase.html#type-hints) to new arguments/methods/functions.
- [ ] Added an entry in the latest `doc/source/whatsnew/vX.X.X.rst` file if fixing a bug or adding a new feature.
| https://api.github.com/repos/pandas-dev/pandas/pulls/54111 | 2023-07-13T20:08:24Z | 2023-08-11T09:17:10Z | 2023-08-11T09:17:09Z | 2023-08-11T09:17:37Z |
CI: Fix pyarrow nightly build | diff --git a/.github/actions/build_pandas/action.yml b/.github/actions/build_pandas/action.yml
index a65718ba045a0..73d7723e2fb49 100644
--- a/.github/actions/build_pandas/action.yml
+++ b/.github/actions/build_pandas/action.yml
@@ -12,6 +12,7 @@ runs:
run: |
micromamba info
micromamba list
+ pip list --pre
shell: bash -el {0}
- name: Uninstall existing Pandas installation
diff --git a/pandas/compat/__init__.py b/pandas/compat/__init__.py
index de4b91e44da19..bfcfd5c74351a 100644
--- a/pandas/compat/__init__.py
+++ b/pandas/compat/__init__.py
@@ -28,6 +28,7 @@
pa_version_under8p0,
pa_version_under9p0,
pa_version_under11p0,
+ pa_version_under13p0,
)
if TYPE_CHECKING:
@@ -183,6 +184,7 @@ def get_bz2_file() -> type[pandas.compat.compressors.BZ2File]:
"pa_version_under8p0",
"pa_version_under9p0",
"pa_version_under11p0",
+ "pa_version_under13p0",
"IS64",
"ISMUSL",
"PY310",
diff --git a/pandas/compat/pyarrow.py b/pandas/compat/pyarrow.py
index 020ec346490ff..2f2fb6a3662f4 100644
--- a/pandas/compat/pyarrow.py
+++ b/pandas/compat/pyarrow.py
@@ -7,16 +7,17 @@
try:
import pyarrow as pa
- _pa_version = pa.__version__
- _palv = Version(_pa_version)
+ _palv = Version(Version(pa.__version__).base_version)
pa_version_under7p0 = _palv < Version("7.0.0")
pa_version_under8p0 = _palv < Version("8.0.0")
pa_version_under9p0 = _palv < Version("9.0.0")
pa_version_under10p0 = _palv < Version("10.0.0")
pa_version_under11p0 = _palv < Version("11.0.0")
+ pa_version_under13p0 = _palv < Version("13.0.0")
except ImportError:
pa_version_under7p0 = True
pa_version_under8p0 = True
pa_version_under9p0 = True
pa_version_under10p0 = True
pa_version_under11p0 = True
+ pa_version_under13p0 = True
diff --git a/pandas/core/arrays/arrow/array.py b/pandas/core/arrays/arrow/array.py
index 106ec28a93f80..931d45319ea71 100644
--- a/pandas/core/arrays/arrow/array.py
+++ b/pandas/core/arrays/arrow/array.py
@@ -24,6 +24,7 @@
pa_version_under8p0,
pa_version_under9p0,
pa_version_under11p0,
+ pa_version_under13p0,
)
from pandas.util._decorators import doc
from pandas.util._validators import validate_fillna_kwargs
@@ -1218,7 +1219,7 @@ def to_numpy(
else:
result = result.to_numpy(dtype=dtype)
return result
- elif pa.types.is_time(pa_type):
+ elif pa.types.is_time(pa_type) or pa.types.is_date(pa_type):
# convert to list of python datetime.time objects before
# wrapping in ndarray
result = np.array(list(self), dtype=dtype)
@@ -1416,6 +1417,8 @@ def _reduce_pyarrow(self, name: str, *, skipna: bool = True, **kwargs) -> pa.Sca
data_to_reduce = self._pa_array
+ cast_kwargs = {} if pa_version_under13p0 else {"safe": False}
+
if name in ["any", "all"] and (
pa.types.is_integer(pa_type)
or pa.types.is_floating(pa_type)
@@ -1491,9 +1494,15 @@ def pyarrow_meth(data, skip_nulls, **kwargs):
if name in ["min", "max", "sum"] and pa.types.is_duration(pa_type):
result = result.cast(pa_type)
if name in ["median", "mean"] and pa.types.is_temporal(pa_type):
+ if not pa_version_under13p0:
+ nbits = pa_type.bit_width
+ if nbits == 32:
+ result = result.cast(pa.int32(), **cast_kwargs)
+ else:
+ result = result.cast(pa.int64(), **cast_kwargs)
result = result.cast(pa_type)
if name in ["std", "sem"] and pa.types.is_temporal(pa_type):
- result = result.cast(pa.int64())
+ result = result.cast(pa.int64(), **cast_kwargs)
if pa.types.is_duration(pa_type):
result = result.cast(pa_type)
elif pa.types.is_time(pa_type):
diff --git a/pandas/tests/extension/test_arrow.py b/pandas/tests/extension/test_arrow.py
index f622ef770b63f..7b2bedc531076 100644
--- a/pandas/tests/extension/test_arrow.py
+++ b/pandas/tests/extension/test_arrow.py
@@ -1706,7 +1706,11 @@ def test_to_numpy_with_defaults(data):
result = data.to_numpy()
pa_type = data._pa_array.type
- if pa.types.is_duration(pa_type) or pa.types.is_timestamp(pa_type):
+ if (
+ pa.types.is_duration(pa_type)
+ or pa.types.is_timestamp(pa_type)
+ or pa.types.is_date(pa_type)
+ ):
expected = np.array(list(data))
else:
expected = np.array(data._pa_array)
@@ -2969,7 +2973,7 @@ def test_date32_repr():
# GH48238
arrow_dt = pa.array([date.fromisoformat("2020-01-01")], type=pa.date32())
ser = pd.Series(arrow_dt, dtype=ArrowDtype(arrow_dt.type))
- assert repr(ser) == "0 2020-01-01\ndtype: date32[day][pyarrow]"
+ assert repr(ser) == "0 2020-01-01\ndtype: date32[day][pyarrow]"
@pytest.mark.xfail(
diff --git a/pandas/tests/io/test_parquet.py b/pandas/tests/io/test_parquet.py
index 35bf75d3928f8..0d8afbf220b0c 100644
--- a/pandas/tests/io/test_parquet.py
+++ b/pandas/tests/io/test_parquet.py
@@ -17,6 +17,7 @@
from pandas.compat.pyarrow import (
pa_version_under7p0,
pa_version_under8p0,
+ pa_version_under13p0,
)
import pandas.util._test_decorators as td
@@ -1006,14 +1007,15 @@ def test_read_dtype_backend_pyarrow_config(self, pa, df_full):
pa_table = pyarrow.Table.from_pandas(df)
expected = pa_table.to_pandas(types_mapper=pd.ArrowDtype)
- # pyarrow infers datetimes as us instead of ns
- expected["datetime"] = expected["datetime"].astype("timestamp[us][pyarrow]")
- expected["datetime_with_nat"] = expected["datetime_with_nat"].astype(
- "timestamp[us][pyarrow]"
- )
- expected["datetime_tz"] = expected["datetime_tz"].astype(
- pd.ArrowDtype(pyarrow.timestamp(unit="us", tz="Europe/Brussels"))
- )
+ if pa_version_under13p0:
+ # pyarrow infers datetimes as us instead of ns
+ expected["datetime"] = expected["datetime"].astype("timestamp[us][pyarrow]")
+ expected["datetime_with_nat"] = expected["datetime_with_nat"].astype(
+ "timestamp[us][pyarrow]"
+ )
+ expected["datetime_tz"] = expected["datetime_tz"].astype(
+ pd.ArrowDtype(pyarrow.timestamp(unit="us", tz="Europe/Brussels"))
+ )
check_round_trip(
df,
| EDIT: Looks like it was a stale cache issue. After deleting the cache (which the weekly job should help going forward), looks like pyarrow dev has an error | https://api.github.com/repos/pandas-dev/pandas/pulls/54110 | 2023-07-13T17:58:14Z | 2023-07-14T23:21:23Z | 2023-07-14T23:21:23Z | 2023-07-14T23:29:43Z |
ENH: support argmin/max, idxmin/max with object dtype | diff --git a/doc/source/whatsnew/v2.1.0.rst b/doc/source/whatsnew/v2.1.0.rst
index 30b2f03dec98c..9000c83b323df 100644
--- a/doc/source/whatsnew/v2.1.0.rst
+++ b/doc/source/whatsnew/v2.1.0.rst
@@ -128,6 +128,7 @@ Other enhancements
- Many read/to_* functions, such as :meth:`DataFrame.to_pickle` and :func:`read_csv`, support forwarding compression arguments to lzma.LZMAFile (:issue:`52979`)
- Performance improvement in :func:`concat` with homogeneous ``np.float64`` or ``np.float32`` dtypes (:issue:`52685`)
- Performance improvement in :meth:`DataFrame.filter` when ``items`` is given (:issue:`52941`)
+- Reductions :meth:`Series.argmax`, :meth:`Series.argmin`, :meth:`Series.idxmax`, :meth:`Series.idxmin`, :meth:`Index.argmax`, :meth:`Index.argmin`, :meth:`DataFrame.idxmax`, :meth:`DataFrame.idxmin` are now supported for object-dtype objects (:issue:`4279`, :issue:`18021`, :issue:`40685`, :issue:`43697`)
-
.. ---------------------------------------------------------------------------
diff --git a/pandas/core/nanops.py b/pandas/core/nanops.py
index 59520350e0dc1..467e66bcbda31 100644
--- a/pandas/core/nanops.py
+++ b/pandas/core/nanops.py
@@ -1094,7 +1094,6 @@ def reduction(
nanmax = _nanminmax("max", fill_value_typ="-inf")
-@disallow("O")
def nanargmax(
values: np.ndarray,
*,
@@ -1140,7 +1139,6 @@ def nanargmax(
return result
-@disallow("O")
def nanargmin(
values: np.ndarray,
*,
diff --git a/pandas/tests/frame/test_reductions.py b/pandas/tests/frame/test_reductions.py
index b4a4324593d22..6636850ce20f1 100644
--- a/pandas/tests/frame/test_reductions.py
+++ b/pandas/tests/frame/test_reductions.py
@@ -982,13 +982,12 @@ def test_idxmin_empty(self, index, skipna, axis):
@pytest.mark.parametrize("numeric_only", [True, False])
def test_idxmin_numeric_only(self, numeric_only):
df = DataFrame({"a": [2, 3, 1], "b": [2, 1, 1], "c": list("xyx")})
+ result = df.idxmin(numeric_only=numeric_only)
if numeric_only:
- result = df.idxmin(numeric_only=numeric_only)
expected = Series([2, 1], index=["a", "b"])
- tm.assert_series_equal(result, expected)
else:
- with pytest.raises(TypeError, match="not allowed for this dtype"):
- df.idxmin(numeric_only=numeric_only)
+ expected = Series([2, 1, 0], index=["a", "b", "c"])
+ tm.assert_series_equal(result, expected)
def test_idxmin_axis_2(self, float_frame):
frame = float_frame
@@ -1022,13 +1021,12 @@ def test_idxmax_empty(self, index, skipna, axis):
@pytest.mark.parametrize("numeric_only", [True, False])
def test_idxmax_numeric_only(self, numeric_only):
df = DataFrame({"a": [2, 3, 1], "b": [2, 1, 1], "c": list("xyx")})
+ result = df.idxmax(numeric_only=numeric_only)
if numeric_only:
- result = df.idxmax(numeric_only=numeric_only)
expected = Series([1, 0], index=["a", "b"])
- tm.assert_series_equal(result, expected)
else:
- with pytest.raises(TypeError, match="not allowed for this dtype"):
- df.idxmin(numeric_only=numeric_only)
+ expected = Series([1, 0, 1], index=["a", "b", "c"])
+ tm.assert_series_equal(result, expected)
def test_idxmax_axis_2(self, float_frame):
frame = float_frame
diff --git a/pandas/tests/groupby/aggregate/test_aggregate.py b/pandas/tests/groupby/aggregate/test_aggregate.py
index 2875e1ae80501..666bd98869482 100644
--- a/pandas/tests/groupby/aggregate/test_aggregate.py
+++ b/pandas/tests/groupby/aggregate/test_aggregate.py
@@ -235,7 +235,7 @@ def test_agg_str_with_kwarg_axis_1_raises(df, reduction_func):
warn_msg = f"DataFrameGroupBy.{reduction_func} with axis=1 is deprecated"
if reduction_func in ("idxmax", "idxmin"):
error = TypeError
- msg = "reduction operation '.*' not allowed for this dtype"
+ msg = "'[<>]' not supported between instances of 'float' and 'str'"
warn = FutureWarning
else:
error = ValueError
diff --git a/pandas/tests/groupby/test_function.py b/pandas/tests/groupby/test_function.py
index e3a5d308c4346..04a699cfede56 100644
--- a/pandas/tests/groupby/test_function.py
+++ b/pandas/tests/groupby/test_function.py
@@ -534,7 +534,7 @@ def test_idxmin_idxmax_axis1():
df["E"] = date_range("2016-01-01", periods=10)
gb2 = df.groupby("A")
- msg = "reduction operation 'argmax' not allowed for this dtype"
+ msg = "'>' not supported between instances of 'Timestamp' and 'float'"
with pytest.raises(TypeError, match=msg):
with tm.assert_produces_warning(FutureWarning, match=warn_msg):
gb2.idxmax(axis=1)
@@ -1467,7 +1467,7 @@ def test_numeric_only(kernel, has_arg, numeric_only, keys):
):
result = method(*args, **kwargs)
assert "b" in result.columns
- elif has_arg or kernel in ("idxmax", "idxmin"):
+ elif has_arg:
assert numeric_only is not True
# kernels that are successful on any dtype were above; this will fail
@@ -1486,6 +1486,10 @@ def test_numeric_only(kernel, has_arg, numeric_only, keys):
re.escape(f"agg function failed [how->{kernel},dtype->object]"),
]
)
+ if kernel == "idxmin":
+ msg = "'<' not supported between instances of 'type' and 'type'"
+ elif kernel == "idxmax":
+ msg = "'>' not supported between instances of 'type' and 'type'"
with pytest.raises(exception, match=msg):
method(*args, **kwargs)
elif not has_arg and numeric_only is not lib.no_default:
@@ -1529,8 +1533,6 @@ def test_deprecate_numeric_only_series(dtype, groupby_func, request):
"cummin",
"cumprod",
"cumsum",
- "idxmax",
- "idxmin",
"quantile",
)
# ops that give an object result on object input
@@ -1556,9 +1558,7 @@ def test_deprecate_numeric_only_series(dtype, groupby_func, request):
# Test default behavior; kernels that fail may be enabled in the future but kernels
# that succeed should not be allowed to fail (without deprecation, at least)
if groupby_func in fails_on_numeric_object and dtype is object:
- if groupby_func in ("idxmax", "idxmin"):
- msg = "not allowed for this dtype"
- elif groupby_func == "quantile":
+ if groupby_func == "quantile":
msg = "cannot be performed against 'object' dtypes"
else:
msg = "is not supported for object dtype"
diff --git a/pandas/tests/groupby/test_raises.py b/pandas/tests/groupby/test_raises.py
index a3fa5bf794030..f9a2b3d44b117 100644
--- a/pandas/tests/groupby/test_raises.py
+++ b/pandas/tests/groupby/test_raises.py
@@ -157,8 +157,8 @@ def test_groupby_raises_string(
"ffill": (None, ""),
"fillna": (None, ""),
"first": (None, ""),
- "idxmax": (TypeError, "'argmax' not allowed for this dtype"),
- "idxmin": (TypeError, "'argmin' not allowed for this dtype"),
+ "idxmax": (None, ""),
+ "idxmin": (None, ""),
"last": (None, ""),
"max": (None, ""),
"mean": (
diff --git a/pandas/tests/reductions/test_reductions.py b/pandas/tests/reductions/test_reductions.py
index 83b9a83c0a6a2..11e3d905dc1d2 100644
--- a/pandas/tests/reductions/test_reductions.py
+++ b/pandas/tests/reductions/test_reductions.py
@@ -2,6 +2,7 @@
datetime,
timedelta,
)
+from decimal import Decimal
import numpy as np
import pytest
@@ -1070,27 +1071,89 @@ def test_timedelta64_analytics(self):
(Series(["foo", "foo", "bar", "bar", None, np.nan, "baz"]), TypeError),
],
)
- def test_assert_idxminmax_raises(self, test_input, error_type):
+ def test_assert_idxminmax_empty_raises(self, test_input, error_type):
"""
Cases where ``Series.argmax`` and related should raise an exception
"""
- msg = (
- "reduction operation 'argmin' not allowed for this dtype|"
- "attempt to get argmin of an empty sequence"
- )
- with pytest.raises(error_type, match=msg):
+ test_input = Series([], dtype="float64")
+ msg = "attempt to get argmin of an empty sequence"
+ with pytest.raises(ValueError, match=msg):
test_input.idxmin()
- with pytest.raises(error_type, match=msg):
+ with pytest.raises(ValueError, match=msg):
test_input.idxmin(skipna=False)
- msg = (
- "reduction operation 'argmax' not allowed for this dtype|"
- "attempt to get argmax of an empty sequence"
- )
- with pytest.raises(error_type, match=msg):
+ msg = "attempt to get argmax of an empty sequence"
+ with pytest.raises(ValueError, match=msg):
test_input.idxmax()
- with pytest.raises(error_type, match=msg):
+ with pytest.raises(ValueError, match=msg):
test_input.idxmax(skipna=False)
+ def test_idxminmax_object_dtype(self):
+ # pre-2.1 object-dtype was disallowed for argmin/max
+ ser = Series(["foo", "bar", "baz"])
+ assert ser.idxmax() == 0
+ assert ser.idxmax(skipna=False) == 0
+ assert ser.idxmin() == 1
+ assert ser.idxmin(skipna=False) == 1
+
+ ser2 = Series([(1,), (2,)])
+ assert ser2.idxmax() == 1
+ assert ser2.idxmax(skipna=False) == 1
+ assert ser2.idxmin() == 0
+ assert ser2.idxmin(skipna=False) == 0
+
+ # attempting to compare np.nan with string raises
+ ser3 = Series(["foo", "foo", "bar", "bar", None, np.nan, "baz"])
+ msg = "'>' not supported between instances of 'float' and 'str'"
+ with pytest.raises(TypeError, match=msg):
+ ser3.idxmax()
+ with pytest.raises(TypeError, match=msg):
+ ser3.idxmax(skipna=False)
+ msg = "'<' not supported between instances of 'float' and 'str'"
+ with pytest.raises(TypeError, match=msg):
+ ser3.idxmin()
+ with pytest.raises(TypeError, match=msg):
+ ser3.idxmin(skipna=False)
+
+ def test_idxminmax_object_frame(self):
+ # GH#4279
+ df = DataFrame([["zimm", 2.5], ["biff", 1.0], ["bid", 12.0]])
+ res = df.idxmax()
+ exp = Series([0, 2])
+ tm.assert_series_equal(res, exp)
+
+ def test_idxminmax_object_tuples(self):
+ # GH#43697
+ ser = Series([(1, 3), (2, 2), (3, 1)])
+ assert ser.idxmax() == 2
+ assert ser.idxmin() == 0
+ assert ser.idxmax(skipna=False) == 2
+ assert ser.idxmin(skipna=False) == 0
+
+ def test_idxminmax_object_decimals(self):
+ # GH#40685
+ df = DataFrame(
+ {
+ "idx": [0, 1],
+ "x": [Decimal("8.68"), Decimal("42.23")],
+ "y": [Decimal("7.11"), Decimal("79.61")],
+ }
+ )
+ res = df.idxmax()
+ exp = Series({"idx": 1, "x": 1, "y": 1})
+ tm.assert_series_equal(res, exp)
+
+ res2 = df.idxmin()
+ exp2 = exp - 1
+ tm.assert_series_equal(res2, exp2)
+
+ def test_argminmax_object_ints(self):
+ # GH#18021
+ ser = Series([0, 1], dtype="object")
+ assert ser.argmax() == 1
+ assert ser.argmin() == 0
+ assert ser.argmax(skipna=False) == 1
+ assert ser.argmin(skipna=False) == 0
+
def test_idxminmax_with_inf(self):
# For numeric data with NA and Inf (GH #13595)
s = Series([0, -np.inf, np.inf, np.nan])
| - [x] closes #4279
- [x] closes #18021
- [x] closes #40685
- [x] closes #43697
- [x] [Tests added and passed](https://pandas.pydata.org/pandas-docs/dev/development/contributing_codebase.html#writing-tests) if fixing a bug or adding a new feature
- [ ] All [code checks passed](https://pandas.pydata.org/pandas-docs/dev/development/contributing_codebase.html#pre-commit).
- [ ] Added [type annotations](https://pandas.pydata.org/pandas-docs/dev/development/contributing_codebase.html#type-hints) to new arguments/methods/functions.
- [x] Added an entry in the latest `doc/source/whatsnew/vX.X.X.rst` file if fixing a bug or adding a new feature.
Agreed upon in yesterday's call. | https://api.github.com/repos/pandas-dev/pandas/pulls/54109 | 2023-07-13T17:49:36Z | 2023-07-17T16:22:48Z | 2023-07-17T16:22:48Z | 2023-07-17T16:47:55Z |
DOC: Organize README.md badges | diff --git a/README.md b/README.md
index a7f38b0fde5e8..8ea473beb107e 100644
--- a/README.md
+++ b/README.md
@@ -5,17 +5,13 @@
-----------------
# pandas: powerful Python data analysis toolkit
-[](https://pypi.org/project/pandas/)
-[](https://anaconda.org/anaconda/pandas/)
-[](https://doi.org/10.5281/zenodo.3509134)
-[](https://pypi.org/project/pandas/)
-[](https://github.com/pandas-dev/pandas/blob/main/LICENSE)
-[](https://codecov.io/gh/pandas-dev/pandas)
-[](https://pepy.tech/project/pandas)
-[](https://pandas.pydata.org/docs/dev/development/community.html?highlight=slack#community-slack)
-[](https://numfocus.org)
-[](https://github.com/psf/black)
-[](https://pycqa.github.io/isort/)
+
+| | |
+| --- | --- |
+| Testing | [](https://github.com/pandas-dev/pandas/actions/workflows/unit-tests.yml) [](https://codecov.io/gh/pandas-dev/pandas) |
+| Package | [](https://pypi.org/project/pandas/) [](https://pypi.org/project/pandas/) [](https://anaconda.org/conda-forge/pandas) [](https://anaconda.org/conda-forge/pandas) |
+| Meta | [](https://numfocus.org) [](https://doi.org/10.5281/zenodo.3509134) [](https://github.com/pandas-dev/pandas/blob/main/LICENSE) [](https://pandas.pydata.org/docs/dev/development/community.html?highlight=slack#community-slack) |
+
## What is it?
| Inspired by https://github.com/pypa/hatch/blob/master/README.md | https://api.github.com/repos/pandas-dev/pandas/pulls/54108 | 2023-07-13T17:12:41Z | 2023-07-14T04:14:54Z | 2023-07-14T04:14:54Z | 2023-07-14T04:16:01Z |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.