code stringlengths 3 6.57k |
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Stat() |
os.stat(path) |
collections.namedtuple('FileStat', ['mtime']) |
Copy(oldpath, newpath, overwrite=False) |
Exists(newpath) |
OSError(errno.EEXIST, os.strerror(errno.EEXIST) |
shutil.copy(oldpath, newpath) |
Open(name, mode='r') |
GFile(name, mode=mode) |
Copyright (c) |
Microsoft (R) |
EdgeNodesOperations(object) |
__init__(self, client, config, serializer, deserializer) |
Presence (POP) |
internal_paging(next_link=None, raw=False) |
self._serialize.query("self.api_version", self.api_version, 'str') |
str(uuid.uuid1() |
header_parameters.update(custom_headers) |
self._serialize.header("self.config.accept_language", self.config.accept_language, 'str') |
self._client.get(url, query_parameters) |
models.ErrorResponseException(self._deserialize, response) |
models.EdgeNodePaged(internal_paging, self._deserialize.dependencies) |
models.EdgeNodePaged(internal_paging, self._deserialize.dependencies, header_dict) |
frame (SQL: left outer join) |
frame (SQL: right outer join) |
frames (SQL: full outer join) |
frames (SQL: inner join) |
key(s) |
sequence (tuple, list, ...) |
merge(A, B, left_on='lkey', right_on='rkey', how='outer') |
DataFrame(NDFrame) |
axes (rows and columns) |
ndarray (structured or homogeneous) |
np.arange(n) |
np.arange(n) |
DataFrame(data=d, index=index) |
DataFrame(np.random.randn(10, 5) |
DataFrame(np.random.randn(10, 5) |
of (key, value) |
_constructor(self) |
self._validate_dtype(dtype) |
isinstance(data, DataFrame) |
isinstance(data, BlockManager) |
self._init_mgr(data, axes=dict(index=index, columns=columns) |
isinstance(data, dict) |
self._init_dict(data, index, columns, dtype=dtype) |
isinstance(data, ma.MaskedArray) |
isinstance(data, mrecords.MaskedRecords) |
ma.getmaskarray(data) |
mask.any() |
_maybe_upcast(data, copy=True) |
data.copy() |
isinstance(data, (np.ndarray, Series, Index) |
list(data.dtype.names) |
dict((k, data[k]) |
self._init_dict(data, index, columns, dtype=dtype) |
getattr(data, 'name', None) |
isinstance(data, (list, types.GeneratorType) |
isinstance(data, types.GeneratorType) |
list(data) |
len(data) |
is_list_like(data[0]) |
getattr(data[0], 'ndim', 1) |
_to_arrays(data, columns, dtype=dtype) |
_ensure_index(columns) |
isinstance(data[0], Series) |
_get_names_from_index(data) |
isinstance(data[0], Categorical) |
_default_index(len(data[0]) |
_default_index(len(data) |
isinstance(data, collections.Iterator) |
TypeError("data argument can't be an iterator") |
np.array(data, dtype=dtype, copy=copy) |
except (ValueError, TypeError) |
raise_with_traceback(exc) |
isinstance(data, compat.string_types) |
_infer_dtype_from_scalar(data) |
np.empty((len(index) |
len(columns) |
values.fill(data) |
PandasError('DataFrame constructor not properly called!') |
NDFrame.__init__(self, mgr, fastpath=True) |
_init_dict(self, data, index, columns, dtype=None) |
_ensure_index(columns) |
dict((k, v) |
compat.iteritems(data) |
extract_index(list(data.values() |
_ensure_index(index) |
np.empty(len(index) |
np.empty(len(index) |
v.fill(NA) |
data_names.append(k) |
arrays.append(v) |
list(data.keys() |
isinstance(data, OrderedDict) |
_try_sort(keys) |
Index(keys) |
isinstance(values, Series) |
values.reindex(index) |
case (GH #2234) |
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