repo stringlengths 7 90 | file_url stringlengths 81 315 | file_path stringlengths 4 228 | content stringlengths 0 32.8k | language stringclasses 1
value | license stringclasses 7
values | commit_sha stringlengths 40 40 | retrieved_at stringdate 2026-01-04 14:38:15 2026-01-05 02:33:18 | truncated bool 2
classes |
|---|---|---|---|---|---|---|---|---|
pandas-dev/pandas | https://github.com/pandas-dev/pandas/blob/91514c363604506f447e53380d3aa00520f1037b/asv_bench/benchmarks/array.py | asv_bench/benchmarks/array.py | import numpy as np
import pandas as pd
class BooleanArray:
def setup(self):
self.values_bool = np.array([True, False, True, False])
self.values_float = np.array([1.0, 0.0, 1.0, 0.0])
self.values_integer = np.array([1, 0, 1, 0])
self.values_integer_like = [1, 0, 1, 0]
self.... | python | BSD-3-Clause | 91514c363604506f447e53380d3aa00520f1037b | 2026-01-04T14:39:36.002480Z | false |
pandas-dev/pandas | https://github.com/pandas-dev/pandas/blob/91514c363604506f447e53380d3aa00520f1037b/asv_bench/benchmarks/reindex.py | asv_bench/benchmarks/reindex.py | import numpy as np
from pandas import (
DataFrame,
Index,
MultiIndex,
Series,
date_range,
period_range,
)
class Reindex:
def setup(self):
rng = date_range(start="1/1/1970", periods=10000, freq="1min")
self.df = DataFrame(np.random.rand(10000, 10), index=rng, columns=range(... | python | BSD-3-Clause | 91514c363604506f447e53380d3aa00520f1037b | 2026-01-04T14:39:36.002480Z | false |
pandas-dev/pandas | https://github.com/pandas-dev/pandas/blob/91514c363604506f447e53380d3aa00520f1037b/asv_bench/benchmarks/hash_functions.py | asv_bench/benchmarks/hash_functions.py | import numpy as np
import pandas as pd
class UniqueForLargePyObjectInts:
def setup(self):
lst = [x << 32 for x in range(5000)]
self.arr = np.array(lst, dtype=np.object_)
def time_unique(self):
pd.unique(self.arr)
class Float64GroupIndex:
# GH28303
def setup(self):
s... | python | BSD-3-Clause | 91514c363604506f447e53380d3aa00520f1037b | 2026-01-04T14:39:36.002480Z | false |
pandas-dev/pandas | https://github.com/pandas-dev/pandas/blob/91514c363604506f447e53380d3aa00520f1037b/asv_bench/benchmarks/__init__.py | asv_bench/benchmarks/__init__.py | """Pandas benchmarks."""
| python | BSD-3-Clause | 91514c363604506f447e53380d3aa00520f1037b | 2026-01-04T14:39:36.002480Z | false |
pandas-dev/pandas | https://github.com/pandas-dev/pandas/blob/91514c363604506f447e53380d3aa00520f1037b/asv_bench/benchmarks/dtypes.py | asv_bench/benchmarks/dtypes.py | import string
import numpy as np
import pandas as pd
from pandas import (
DataFrame,
Index,
)
import pandas._testing as tm
from pandas.api.types import (
is_extension_array_dtype,
pandas_dtype,
)
from .pandas_vb_common import (
datetime_dtypes,
extension_dtypes,
numeric_dtypes,
string... | python | BSD-3-Clause | 91514c363604506f447e53380d3aa00520f1037b | 2026-01-04T14:39:36.002480Z | false |
pandas-dev/pandas | https://github.com/pandas-dev/pandas/blob/91514c363604506f447e53380d3aa00520f1037b/asv_bench/benchmarks/package.py | asv_bench/benchmarks/package.py | """
Benchmarks for pandas at the package-level.
"""
import subprocess
import sys
class TimeImport:
def time_import(self):
# on py37+ we the "-X importtime" usage gives us a more precise
# measurement of the import time we actually care about,
# without the subprocess or interpreter over... | python | BSD-3-Clause | 91514c363604506f447e53380d3aa00520f1037b | 2026-01-04T14:39:36.002480Z | false |
pandas-dev/pandas | https://github.com/pandas-dev/pandas/blob/91514c363604506f447e53380d3aa00520f1037b/asv_bench/benchmarks/stat_ops.py | asv_bench/benchmarks/stat_ops.py | import numpy as np
import pandas as pd
ops = ["mean", "sum", "median", "std", "skew", "kurt", "prod", "sem", "var"]
class FrameOps:
params = [ops, ["float", "int", "Int64"], [0, 1, None]]
param_names = ["op", "dtype", "axis"]
def setup(self, op, dtype, axis):
values = np.random.randn(100000, 4)... | python | BSD-3-Clause | 91514c363604506f447e53380d3aa00520f1037b | 2026-01-04T14:39:36.002480Z | false |
pandas-dev/pandas | https://github.com/pandas-dev/pandas/blob/91514c363604506f447e53380d3aa00520f1037b/asv_bench/benchmarks/gil.py | asv_bench/benchmarks/gil.py | from functools import wraps
import threading
import numpy as np
from pandas import (
DataFrame,
Index,
Series,
date_range,
factorize,
read_csv,
)
from pandas.core.algorithms import take_nd
try:
from pandas import (
rolling_kurt,
rolling_max,
rolling_mean,
r... | python | BSD-3-Clause | 91514c363604506f447e53380d3aa00520f1037b | 2026-01-04T14:39:36.002480Z | false |
pandas-dev/pandas | https://github.com/pandas-dev/pandas/blob/91514c363604506f447e53380d3aa00520f1037b/asv_bench/benchmarks/index_cached_properties.py | asv_bench/benchmarks/index_cached_properties.py | import pandas as pd
class IndexCache:
number = 1
repeat = (3, 100, 20)
params = [
[
"CategoricalIndex",
"DatetimeIndex",
"Float64Index",
"IntervalIndex",
"Int64Index",
"MultiIndex",
"PeriodIndex",
"Ran... | python | BSD-3-Clause | 91514c363604506f447e53380d3aa00520f1037b | 2026-01-04T14:39:36.002480Z | false |
pandas-dev/pandas | https://github.com/pandas-dev/pandas/blob/91514c363604506f447e53380d3aa00520f1037b/asv_bench/benchmarks/sparse.py | asv_bench/benchmarks/sparse.py | import numpy as np
import scipy.sparse
import pandas as pd
from pandas import (
MultiIndex,
Series,
date_range,
)
from pandas.arrays import SparseArray
def make_array(size, dense_proportion, fill_value, dtype):
dense_size = int(size * dense_proportion)
arr = np.full(size, fill_value, dtype)
i... | python | BSD-3-Clause | 91514c363604506f447e53380d3aa00520f1037b | 2026-01-04T14:39:36.002480Z | false |
pandas-dev/pandas | https://github.com/pandas-dev/pandas/blob/91514c363604506f447e53380d3aa00520f1037b/asv_bench/benchmarks/indexing.py | asv_bench/benchmarks/indexing.py | """
These benchmarks are for Series and DataFrame indexing methods. For the
lower-level methods directly on Index and subclasses, see index_object.py,
indexing_engine.py, and index_cached.py
"""
from datetime import datetime
import warnings
import numpy as np
from pandas import (
NA,
CategoricalIndex,
D... | python | BSD-3-Clause | 91514c363604506f447e53380d3aa00520f1037b | 2026-01-04T14:39:36.002480Z | false |
pandas-dev/pandas | https://github.com/pandas-dev/pandas/blob/91514c363604506f447e53380d3aa00520f1037b/asv_bench/benchmarks/ctors.py | asv_bench/benchmarks/ctors.py | import numpy as np
from pandas import (
DatetimeIndex,
Index,
MultiIndex,
Series,
Timestamp,
date_range,
)
def no_change(arr):
return arr
def list_of_str(arr):
return list(arr.astype(str))
def gen_of_str(arr):
return (x for x in arr.astype(str))
def arr_dict(arr):
return... | python | BSD-3-Clause | 91514c363604506f447e53380d3aa00520f1037b | 2026-01-04T14:39:36.002480Z | false |
pandas-dev/pandas | https://github.com/pandas-dev/pandas/blob/91514c363604506f447e53380d3aa00520f1037b/asv_bench/benchmarks/replace.py | asv_bench/benchmarks/replace.py | import numpy as np
import pandas as pd
class FillNa:
params = [True, False]
param_names = ["inplace"]
def setup(self, inplace):
N = 10**6
rng = pd.date_range("1/1/2000", periods=N, freq="min")
data = np.random.randn(N)
data[::2] = np.nan
self.ts = pd.Series(data, ... | python | BSD-3-Clause | 91514c363604506f447e53380d3aa00520f1037b | 2026-01-04T14:39:36.002480Z | false |
pandas-dev/pandas | https://github.com/pandas-dev/pandas/blob/91514c363604506f447e53380d3aa00520f1037b/asv_bench/benchmarks/indexing_engines.py | asv_bench/benchmarks/indexing_engines.py | """
Benchmarks in this file depend mostly on code in _libs/
We have to created masked arrays to test the masked engine though. The
array is unpacked on the Cython level.
If a PR does not edit anything in _libs, it is very unlikely that benchmarks
in this file will be affected.
"""
import numpy as np
from pandas._li... | python | BSD-3-Clause | 91514c363604506f447e53380d3aa00520f1037b | 2026-01-04T14:39:36.002480Z | false |
pandas-dev/pandas | https://github.com/pandas-dev/pandas/blob/91514c363604506f447e53380d3aa00520f1037b/asv_bench/benchmarks/groupby.py | asv_bench/benchmarks/groupby.py | from functools import partial
from itertools import product
from string import ascii_letters
import numpy as np
from pandas import (
NA,
Categorical,
DataFrame,
Index,
MultiIndex,
Series,
Timestamp,
date_range,
period_range,
to_timedelta,
)
method_blocklist = {
"object": {... | python | BSD-3-Clause | 91514c363604506f447e53380d3aa00520f1037b | 2026-01-04T14:39:36.002480Z | true |
pandas-dev/pandas | https://github.com/pandas-dev/pandas/blob/91514c363604506f447e53380d3aa00520f1037b/asv_bench/benchmarks/rolling.py | asv_bench/benchmarks/rolling.py | import warnings
import numpy as np
import pandas as pd
class Methods:
params = (
["DataFrame", "Series"],
[("rolling", {"window": 10}), ("rolling", {"window": 1000}), ("expanding", {})],
["int", "float"],
[
"median",
"mean",
"max",
... | python | BSD-3-Clause | 91514c363604506f447e53380d3aa00520f1037b | 2026-01-04T14:39:36.002480Z | false |
pandas-dev/pandas | https://github.com/pandas-dev/pandas/blob/91514c363604506f447e53380d3aa00520f1037b/asv_bench/benchmarks/libs.py | asv_bench/benchmarks/libs.py | """
Benchmarks for code in pandas/_libs, excluding pandas/_libs/tslibs,
which has its own directory.
If a PR does not edit anything in _libs/, then it is unlikely that the
benchmarks will be affected.
"""
import numpy as np
from pandas._libs.lib import (
infer_dtype,
is_list_like,
is_scalar,
)
from pand... | python | BSD-3-Clause | 91514c363604506f447e53380d3aa00520f1037b | 2026-01-04T14:39:36.002480Z | false |
pandas-dev/pandas | https://github.com/pandas-dev/pandas/blob/91514c363604506f447e53380d3aa00520f1037b/asv_bench/benchmarks/multiindex_object.py | asv_bench/benchmarks/multiindex_object.py | import string
import numpy as np
from pandas import (
NA,
DataFrame,
Index,
MultiIndex,
RangeIndex,
Series,
array,
date_range,
)
class GetLoc:
def setup(self):
self.mi_large = MultiIndex.from_product(
[np.arange(1000), np.arange(20), list(string.ascii_letters)... | python | BSD-3-Clause | 91514c363604506f447e53380d3aa00520f1037b | 2026-01-04T14:39:36.002480Z | false |
pandas-dev/pandas | https://github.com/pandas-dev/pandas/blob/91514c363604506f447e53380d3aa00520f1037b/asv_bench/benchmarks/timedelta.py | asv_bench/benchmarks/timedelta.py | """
Timedelta benchmarks with non-tslibs dependencies. See
benchmarks.tslibs.timedelta for benchmarks that rely only on tslibs.
"""
from pandas import (
DataFrame,
Series,
timedelta_range,
)
class DatetimeAccessor:
def setup_cache(self):
N = 100000
series = Series(timedelta_range("1 ... | python | BSD-3-Clause | 91514c363604506f447e53380d3aa00520f1037b | 2026-01-04T14:39:36.002480Z | false |
pandas-dev/pandas | https://github.com/pandas-dev/pandas/blob/91514c363604506f447e53380d3aa00520f1037b/asv_bench/benchmarks/tslibs/timestamp.py | asv_bench/benchmarks/tslibs/timestamp.py | from datetime import (
datetime,
timezone,
)
import zoneinfo
import numpy as np
from pandas import Timestamp
from .tslib import _tzs
class TimestampConstruction:
def setup(self):
self.npdatetime64 = np.datetime64("2020-01-01 00:00:00")
self.dttime_unaware = datetime(2020, 1, 1, 0, 0, 0)... | python | BSD-3-Clause | 91514c363604506f447e53380d3aa00520f1037b | 2026-01-04T14:39:36.002480Z | false |
pandas-dev/pandas | https://github.com/pandas-dev/pandas/blob/91514c363604506f447e53380d3aa00520f1037b/asv_bench/benchmarks/tslibs/resolution.py | asv_bench/benchmarks/tslibs/resolution.py | """
ipython analogue:
tr = TimeResolution()
mi = pd.MultiIndex.from_product(tr.params[:-1] + ([str(x) for x in tr.params[-1]],))
df = pd.DataFrame(np.nan, index=mi, columns=["mean", "stdev"])
for unit in tr.params[0]:
for size in tr.params[1]:
for tz in tr.params[2]:
tr.setup(unit, size, tz)
... | python | BSD-3-Clause | 91514c363604506f447e53380d3aa00520f1037b | 2026-01-04T14:39:36.002480Z | false |
pandas-dev/pandas | https://github.com/pandas-dev/pandas/blob/91514c363604506f447e53380d3aa00520f1037b/asv_bench/benchmarks/tslibs/normalize.py | asv_bench/benchmarks/tslibs/normalize.py | try:
from pandas._libs.tslibs import (
is_date_array_normalized,
normalize_i8_timestamps,
)
except ImportError:
from pandas._libs.tslibs.conversion import (
normalize_i8_timestamps,
is_date_array_normalized,
)
import pandas as pd
from .tslib import (
_sizes,
_tz... | python | BSD-3-Clause | 91514c363604506f447e53380d3aa00520f1037b | 2026-01-04T14:39:36.002480Z | false |
pandas-dev/pandas | https://github.com/pandas-dev/pandas/blob/91514c363604506f447e53380d3aa00520f1037b/asv_bench/benchmarks/tslibs/offsets.py | asv_bench/benchmarks/tslibs/offsets.py | """
offsets benchmarks that rely only on tslibs. See benchmarks.offset for
offsets benchmarks that rely on other parts of pandas.
"""
from datetime import datetime
import numpy as np
from pandas import offsets
try:
import pandas.tseries.holiday
except ImportError:
pass
hcal = pandas.tseries.holiday.USFede... | python | BSD-3-Clause | 91514c363604506f447e53380d3aa00520f1037b | 2026-01-04T14:39:36.002480Z | false |
pandas-dev/pandas | https://github.com/pandas-dev/pandas/blob/91514c363604506f447e53380d3aa00520f1037b/asv_bench/benchmarks/tslibs/period.py | asv_bench/benchmarks/tslibs/period.py | """
Period benchmarks that rely only on tslibs. See benchmarks.period for
Period benchmarks that rely on other parts of pandas.
"""
import numpy as np
from pandas._libs.tslibs.period import (
Period,
periodarr_to_dt64arr,
)
from pandas.tseries.frequencies import to_offset
from .tslib import (
_sizes,
... | python | BSD-3-Clause | 91514c363604506f447e53380d3aa00520f1037b | 2026-01-04T14:39:36.002480Z | false |
pandas-dev/pandas | https://github.com/pandas-dev/pandas/blob/91514c363604506f447e53380d3aa00520f1037b/asv_bench/benchmarks/tslibs/tslib.py | asv_bench/benchmarks/tslibs/tslib.py | """
ipython analogue:
tr = TimeIntsToPydatetime()
mi = pd.MultiIndex.from_product(
tr.params[:-1] + ([str(x) for x in tr.params[-1]],)
)
df = pd.DataFrame(np.nan, index=mi, columns=["mean", "stdev"])
for box in tr.params[0]:
for size in tr.params[1]:
for tz in tr.params[2]:
tr.setup(box, si... | python | BSD-3-Clause | 91514c363604506f447e53380d3aa00520f1037b | 2026-01-04T14:39:36.002480Z | false |
pandas-dev/pandas | https://github.com/pandas-dev/pandas/blob/91514c363604506f447e53380d3aa00520f1037b/asv_bench/benchmarks/tslibs/fields.py | asv_bench/benchmarks/tslibs/fields.py | import numpy as np
from pandas._libs.tslibs.fields import (
get_date_field,
get_start_end_field,
get_timedelta_field,
)
from .tslib import _sizes
class TimeGetTimedeltaField:
params = [
_sizes,
["seconds", "microseconds", "nanoseconds"],
]
param_names = ["size", "field"]
... | python | BSD-3-Clause | 91514c363604506f447e53380d3aa00520f1037b | 2026-01-04T14:39:36.002480Z | false |
pandas-dev/pandas | https://github.com/pandas-dev/pandas/blob/91514c363604506f447e53380d3aa00520f1037b/asv_bench/benchmarks/tslibs/__init__.py | asv_bench/benchmarks/tslibs/__init__.py | """
Benchmarks in this directory should depend only on tslibs, tseries.offsets,
and to_offset.
i.e. any code changes that do not touch those files should not need to
run these benchmarks.
"""
| python | BSD-3-Clause | 91514c363604506f447e53380d3aa00520f1037b | 2026-01-04T14:39:36.002480Z | false |
pandas-dev/pandas | https://github.com/pandas-dev/pandas/blob/91514c363604506f447e53380d3aa00520f1037b/asv_bench/benchmarks/tslibs/tz_convert.py | asv_bench/benchmarks/tslibs/tz_convert.py | from datetime import timezone
import numpy as np
from pandas._libs.tslibs.tzconversion import tz_localize_to_utc
from .tslib import (
_sizes,
_tzs,
tzlocal_obj,
)
try:
old_sig = False
from pandas._libs.tslibs import tz_convert_from_utc
except ImportError:
try:
old_sig = False
... | python | BSD-3-Clause | 91514c363604506f447e53380d3aa00520f1037b | 2026-01-04T14:39:36.002480Z | false |
pandas-dev/pandas | https://github.com/pandas-dev/pandas/blob/91514c363604506f447e53380d3aa00520f1037b/asv_bench/benchmarks/tslibs/timedelta.py | asv_bench/benchmarks/tslibs/timedelta.py | """
Timedelta benchmarks that rely only on tslibs. See benchmarks.timedeltas for
Timedelta benchmarks that rely on other parts of pandas.
"""
import datetime
import numpy as np
from pandas import Timedelta
class TimedeltaConstructor:
def setup(self):
self.nptimedelta64 = np.timedelta64(3600)
se... | python | BSD-3-Clause | 91514c363604506f447e53380d3aa00520f1037b | 2026-01-04T14:39:36.002480Z | false |
pandas-dev/pandas | https://github.com/pandas-dev/pandas/blob/91514c363604506f447e53380d3aa00520f1037b/asv_bench/benchmarks/algos/isin.py | asv_bench/benchmarks/algos/isin.py | import numpy as np
from pandas import (
Categorical,
Index,
NaT,
Series,
date_range,
)
class IsIn:
params = [
"int64",
"uint64",
"object",
"Int64",
"boolean",
"bool",
"datetime64[ns]",
"category[object]",
"category[int]",... | python | BSD-3-Clause | 91514c363604506f447e53380d3aa00520f1037b | 2026-01-04T14:39:36.002480Z | false |
pandas-dev/pandas | https://github.com/pandas-dev/pandas/blob/91514c363604506f447e53380d3aa00520f1037b/asv_bench/benchmarks/algos/__init__.py | asv_bench/benchmarks/algos/__init__.py | """
algos/ directory is intended for individual functions from core.algorithms
In many cases these algorithms are reachable in multiple ways:
algos.foo(x, y)
Series(x).foo(y)
Index(x).foo(y)
pd.array(x).foo(y)
In most cases we profile the Series variant directly, trusting the performance
of the others to ... | python | BSD-3-Clause | 91514c363604506f447e53380d3aa00520f1037b | 2026-01-04T14:39:36.002480Z | false |
pandas-dev/pandas | https://github.com/pandas-dev/pandas/blob/91514c363604506f447e53380d3aa00520f1037b/asv_bench/benchmarks/io/stata.py | asv_bench/benchmarks/io/stata.py | import numpy as np
from pandas import (
DataFrame,
Index,
date_range,
read_stata,
)
from ..pandas_vb_common import BaseIO
class Stata(BaseIO):
params = ["tc", "td", "tm", "tw", "th", "tq", "ty"]
param_names = ["convert_dates"]
def setup(self, convert_dates):
self.fname = "__test... | python | BSD-3-Clause | 91514c363604506f447e53380d3aa00520f1037b | 2026-01-04T14:39:36.002480Z | false |
pandas-dev/pandas | https://github.com/pandas-dev/pandas/blob/91514c363604506f447e53380d3aa00520f1037b/asv_bench/benchmarks/io/excel.py | asv_bench/benchmarks/io/excel.py | from io import BytesIO
import numpy as np
from odf.opendocument import OpenDocumentSpreadsheet
from odf.table import (
Table,
TableCell,
TableRow,
)
from odf.text import P
from pandas import (
DataFrame,
ExcelWriter,
Index,
date_range,
read_excel,
)
def _generate_dataframe():
N =... | python | BSD-3-Clause | 91514c363604506f447e53380d3aa00520f1037b | 2026-01-04T14:39:36.002480Z | false |
pandas-dev/pandas | https://github.com/pandas-dev/pandas/blob/91514c363604506f447e53380d3aa00520f1037b/asv_bench/benchmarks/io/parsers.py | asv_bench/benchmarks/io/parsers.py | try:
from pandas._libs.tslibs.parsing import _does_string_look_like_datetime
except ImportError:
# Avoid whole benchmark suite import failure on asv (currently 0.4)
pass
class DoesStringLookLikeDatetime:
params = (["2Q2005", "0.0", "10000"],)
param_names = ["value"]
def setup(self, value):
... | python | BSD-3-Clause | 91514c363604506f447e53380d3aa00520f1037b | 2026-01-04T14:39:36.002480Z | false |
pandas-dev/pandas | https://github.com/pandas-dev/pandas/blob/91514c363604506f447e53380d3aa00520f1037b/asv_bench/benchmarks/io/sql.py | asv_bench/benchmarks/io/sql.py | import sqlite3
import numpy as np
from sqlalchemy import create_engine
from pandas import (
DataFrame,
Index,
date_range,
read_sql_query,
read_sql_table,
)
class SQL:
params = ["sqlalchemy", "sqlite"]
param_names = ["connection"]
def setup(self, connection):
N = 10000
... | python | BSD-3-Clause | 91514c363604506f447e53380d3aa00520f1037b | 2026-01-04T14:39:36.002480Z | false |
pandas-dev/pandas | https://github.com/pandas-dev/pandas/blob/91514c363604506f447e53380d3aa00520f1037b/asv_bench/benchmarks/io/hdf.py | asv_bench/benchmarks/io/hdf.py | import numpy as np
from pandas import (
DataFrame,
HDFStore,
Index,
date_range,
read_hdf,
)
from ..pandas_vb_common import BaseIO
class HDFStoreDataFrame(BaseIO):
def setup(self):
N = 25000
index = Index([f"i-{i}" for i in range(N)], dtype=object)
self.df = DataFrame(... | python | BSD-3-Clause | 91514c363604506f447e53380d3aa00520f1037b | 2026-01-04T14:39:36.002480Z | false |
pandas-dev/pandas | https://github.com/pandas-dev/pandas/blob/91514c363604506f447e53380d3aa00520f1037b/asv_bench/benchmarks/io/__init__.py | asv_bench/benchmarks/io/__init__.py | python | BSD-3-Clause | 91514c363604506f447e53380d3aa00520f1037b | 2026-01-04T14:39:36.002480Z | false | |
pandas-dev/pandas | https://github.com/pandas-dev/pandas/blob/91514c363604506f447e53380d3aa00520f1037b/asv_bench/benchmarks/io/json.py | asv_bench/benchmarks/io/json.py | import sys
import numpy as np
from pandas import (
DataFrame,
Index,
concat,
date_range,
json_normalize,
read_json,
timedelta_range,
)
from ..pandas_vb_common import BaseIO
class ReadJSON(BaseIO):
fname = "__test__.json"
params = (["split", "index", "records"], ["int", "datetime... | python | BSD-3-Clause | 91514c363604506f447e53380d3aa00520f1037b | 2026-01-04T14:39:36.002480Z | false |
pandas-dev/pandas | https://github.com/pandas-dev/pandas/blob/91514c363604506f447e53380d3aa00520f1037b/asv_bench/benchmarks/io/pickle.py | asv_bench/benchmarks/io/pickle.py | import numpy as np
from pandas import (
DataFrame,
Index,
date_range,
read_pickle,
)
from ..pandas_vb_common import BaseIO
class Pickle(BaseIO):
def setup(self):
self.fname = "__test__.pkl"
N = 100000
C = 5
self.df = DataFrame(
np.random.randn(N, C),
... | python | BSD-3-Clause | 91514c363604506f447e53380d3aa00520f1037b | 2026-01-04T14:39:36.002480Z | false |
pandas-dev/pandas | https://github.com/pandas-dev/pandas/blob/91514c363604506f447e53380d3aa00520f1037b/asv_bench/benchmarks/io/sas.py | asv_bench/benchmarks/io/sas.py | from pathlib import Path
from pandas import read_sas
ROOT = Path(__file__).parents[3] / "pandas" / "tests" / "io" / "sas" / "data"
class SAS:
def time_read_sas7bdat(self):
read_sas(ROOT / "test1.sas7bdat")
def time_read_xpt(self):
read_sas(ROOT / "paxraw_d_short.xpt")
def time_read_sas... | python | BSD-3-Clause | 91514c363604506f447e53380d3aa00520f1037b | 2026-01-04T14:39:36.002480Z | false |
pandas-dev/pandas | https://github.com/pandas-dev/pandas/blob/91514c363604506f447e53380d3aa00520f1037b/asv_bench/benchmarks/io/csv.py | asv_bench/benchmarks/io/csv.py | from io import (
BytesIO,
StringIO,
)
import random
import string
import numpy as np
from pandas import (
Categorical,
DataFrame,
Index,
concat,
date_range,
period_range,
read_csv,
to_datetime,
)
from ..pandas_vb_common import BaseIO
class ToCSV(BaseIO):
fname = "__test_... | python | BSD-3-Clause | 91514c363604506f447e53380d3aa00520f1037b | 2026-01-04T14:39:36.002480Z | false |
pandas-dev/pandas | https://github.com/pandas-dev/pandas/blob/91514c363604506f447e53380d3aa00520f1037b/asv_bench/benchmarks/io/style.py | asv_bench/benchmarks/io/style.py | import numpy as np
from pandas import (
DataFrame,
IndexSlice,
)
class Render:
params = [[12, 24, 36], [12, 120]]
param_names = ["cols", "rows"]
def setup(self, cols, rows):
self.df = DataFrame(
np.random.randn(rows, cols),
columns=[f"float_{i + 1}" for i in range... | python | BSD-3-Clause | 91514c363604506f447e53380d3aa00520f1037b | 2026-01-04T14:39:36.002480Z | false |
pandas-dev/pandas | https://github.com/pandas-dev/pandas/blob/91514c363604506f447e53380d3aa00520f1037b/pandas/_typing.py | pandas/_typing.py | from __future__ import annotations
from builtins import type as type_t # pyright: ignore[reportUnusedImport]
from collections.abc import (
Callable,
Hashable,
Iterator,
Mapping,
MutableMapping,
Sequence,
)
from datetime import (
date,
datetime,
timedelta,
tzinfo,
)
from os impo... | python | BSD-3-Clause | 91514c363604506f447e53380d3aa00520f1037b | 2026-01-04T14:39:36.002480Z | false |
pandas-dev/pandas | https://github.com/pandas-dev/pandas/blob/91514c363604506f447e53380d3aa00520f1037b/pandas/testing.py | pandas/testing.py | """
Public testing utility functions.
"""
from pandas._testing import (
assert_extension_array_equal,
assert_frame_equal,
assert_index_equal,
assert_series_equal,
)
__all__ = [
"assert_extension_array_equal",
"assert_frame_equal",
"assert_index_equal",
"assert_series_equal",
]
| python | BSD-3-Clause | 91514c363604506f447e53380d3aa00520f1037b | 2026-01-04T14:39:36.002480Z | false |
pandas-dev/pandas | https://github.com/pandas-dev/pandas/blob/91514c363604506f447e53380d3aa00520f1037b/pandas/_version.py | pandas/_version.py | # This file helps to compute a version number in source trees obtained from
# git-archive tarball (such as those provided by github's download-from-tag
# feature). Distribution tarballs (built by setup.py sdist) and build
# directories (produced by setup.py build) will contain a much shorter file
# that just contains t... | python | BSD-3-Clause | 91514c363604506f447e53380d3aa00520f1037b | 2026-01-04T14:39:36.002480Z | false |
pandas-dev/pandas | https://github.com/pandas-dev/pandas/blob/91514c363604506f447e53380d3aa00520f1037b/pandas/conftest.py | pandas/conftest.py | """
This file is very long and growing, but it was decided to not split it yet, as
it's still manageable (2020-03-17, ~1.1k LoC). See gh-31989
Instead of splitting it was decided to define sections here:
- Configuration / Settings
- Autouse fixtures
- Common arguments
- Missing values & co.
- Classes
- Indices
- Serie... | python | BSD-3-Clause | 91514c363604506f447e53380d3aa00520f1037b | 2026-01-04T14:39:36.002480Z | true |
pandas-dev/pandas | https://github.com/pandas-dev/pandas/blob/91514c363604506f447e53380d3aa00520f1037b/pandas/__init__.py | pandas/__init__.py | from __future__ import annotations
__docformat__ = "restructuredtext"
# Let users know if they're missing any of our hard dependencies
# except tzdata (see https://github.com/pandas-dev/pandas/issues/63264)
_hard_dependencies = ("numpy", "dateutil")
for _dependency in _hard_dependencies:
try:
__import__(... | python | BSD-3-Clause | 91514c363604506f447e53380d3aa00520f1037b | 2026-01-04T14:39:36.002480Z | false |
pandas-dev/pandas | https://github.com/pandas-dev/pandas/blob/91514c363604506f447e53380d3aa00520f1037b/pandas/util/_tester.py | pandas/util/_tester.py | """
Entrypoint for testing from the top-level namespace.
"""
from __future__ import annotations
import os
import sys
from pandas.compat._optional import import_optional_dependency
from pandas.util._decorators import set_module
PKG = os.path.dirname(os.path.dirname(__file__))
@set_module("pandas")
def test(extra_a... | python | BSD-3-Clause | 91514c363604506f447e53380d3aa00520f1037b | 2026-01-04T14:39:36.002480Z | false |
pandas-dev/pandas | https://github.com/pandas-dev/pandas/blob/91514c363604506f447e53380d3aa00520f1037b/pandas/util/_exceptions.py | pandas/util/_exceptions.py | from __future__ import annotations
import contextlib
import inspect
import os
import re
from typing import (
TYPE_CHECKING,
Any,
)
import warnings
if TYPE_CHECKING:
from collections.abc import Generator
from types import FrameType
@contextlib.contextmanager
def rewrite_exception(old_name: str, new_n... | python | BSD-3-Clause | 91514c363604506f447e53380d3aa00520f1037b | 2026-01-04T14:39:36.002480Z | false |
pandas-dev/pandas | https://github.com/pandas-dev/pandas/blob/91514c363604506f447e53380d3aa00520f1037b/pandas/util/_test_decorators.py | pandas/util/_test_decorators.py | """
This module provides decorator functions which can be applied to test objects
in order to skip those objects when certain conditions occur. A sample use case
is to detect if the platform is missing ``matplotlib``. If so, any test objects
which require ``matplotlib`` and decorated with ``@td.skip_if_no("matplotlib")... | python | BSD-3-Clause | 91514c363604506f447e53380d3aa00520f1037b | 2026-01-04T14:39:36.002480Z | false |
pandas-dev/pandas | https://github.com/pandas-dev/pandas/blob/91514c363604506f447e53380d3aa00520f1037b/pandas/util/_print_versions.py | pandas/util/_print_versions.py | from __future__ import annotations
import json
import locale
import os
import platform
import struct
import sys
from typing import TYPE_CHECKING
from pandas.util._decorators import set_module
if TYPE_CHECKING:
from pandas._typing import JSONSerializable
from pandas.compat._optional import (
VERSIONS,
ge... | python | BSD-3-Clause | 91514c363604506f447e53380d3aa00520f1037b | 2026-01-04T14:39:36.002480Z | false |
pandas-dev/pandas | https://github.com/pandas-dev/pandas/blob/91514c363604506f447e53380d3aa00520f1037b/pandas/util/_decorators.py | pandas/util/_decorators.py | from __future__ import annotations
from functools import wraps
import inspect
from textwrap import dedent
from typing import (
TYPE_CHECKING,
Any,
cast,
)
import warnings
from pandas._libs.properties import cache_readonly
from pandas._typing import (
F,
T,
)
from pandas.util._exceptions import fin... | python | BSD-3-Clause | 91514c363604506f447e53380d3aa00520f1037b | 2026-01-04T14:39:36.002480Z | false |
pandas-dev/pandas | https://github.com/pandas-dev/pandas/blob/91514c363604506f447e53380d3aa00520f1037b/pandas/util/__init__.py | pandas/util/__init__.py | def __getattr__(key: str):
# These imports need to be lazy to avoid circular import errors
if key == "hash_array":
from pandas.core.util.hashing import hash_array
return hash_array
if key == "hash_pandas_object":
from pandas.core.util.hashing import hash_pandas_object
retur... | python | BSD-3-Clause | 91514c363604506f447e53380d3aa00520f1037b | 2026-01-04T14:39:36.002480Z | false |
pandas-dev/pandas | https://github.com/pandas-dev/pandas/blob/91514c363604506f447e53380d3aa00520f1037b/pandas/util/_doctools.py | pandas/util/_doctools.py | from __future__ import annotations
from typing import TYPE_CHECKING
import numpy as np
import pandas as pd
if TYPE_CHECKING:
from collections.abc import Iterable
from matplotlib.figure import Figure
class TablePlotter:
"""
Layout some DataFrames in vertical/horizontal layout for explanation.
... | python | BSD-3-Clause | 91514c363604506f447e53380d3aa00520f1037b | 2026-01-04T14:39:36.002480Z | false |
pandas-dev/pandas | https://github.com/pandas-dev/pandas/blob/91514c363604506f447e53380d3aa00520f1037b/pandas/util/_validators.py | pandas/util/_validators.py | """
Module that contains many useful utilities
for validating data or function arguments
"""
from __future__ import annotations
from collections.abc import (
Iterable,
Sequence,
)
from typing import (
TypeVar,
overload,
)
import numpy as np
from pandas._libs import lib
from pandas._libs.missing impo... | python | BSD-3-Clause | 91514c363604506f447e53380d3aa00520f1037b | 2026-01-04T14:39:36.002480Z | false |
pandas-dev/pandas | https://github.com/pandas-dev/pandas/blob/91514c363604506f447e53380d3aa00520f1037b/pandas/util/version/__init__.py | pandas/util/version/__init__.py | # Vendored from https://github.com/pypa/packaging/blob/main/src/packaging/_structures.py
# and https://github.com/pypa/packaging/blob/main/src/packaging/version.py
# changeset 24e5350b2ff3c5c7a36676c2af5f2cb39fd1baf8
# This file is dual licensed under the terms of the Apache License, Version
# 2.0, and the BSD License... | python | BSD-3-Clause | 91514c363604506f447e53380d3aa00520f1037b | 2026-01-04T14:39:36.002480Z | false |
pandas-dev/pandas | https://github.com/pandas-dev/pandas/blob/91514c363604506f447e53380d3aa00520f1037b/pandas/compat/_constants.py | pandas/compat/_constants.py | """
_constants
======
Constants relevant for the Python implementation.
"""
from __future__ import annotations
import platform
import sys
import sysconfig
IS64 = sys.maxsize > 2**32
PY312 = sys.version_info >= (3, 12)
PY314 = sys.version_info >= (3, 14)
PYPY = platform.python_implementation() == "PyPy"
WASM = (sys... | python | BSD-3-Clause | 91514c363604506f447e53380d3aa00520f1037b | 2026-01-04T14:39:36.002480Z | false |
pandas-dev/pandas | https://github.com/pandas-dev/pandas/blob/91514c363604506f447e53380d3aa00520f1037b/pandas/compat/pickle_compat.py | pandas/compat/pickle_compat.py | """
Pickle compatibility to pandas version 1.0
"""
from __future__ import annotations
import contextlib
import io
import pickle
from typing import (
TYPE_CHECKING,
Any,
)
import numpy as np
from pandas._libs.arrays import NDArrayBacked
from pandas._libs.tslibs import BaseOffset
from pandas.core.arrays impo... | python | BSD-3-Clause | 91514c363604506f447e53380d3aa00520f1037b | 2026-01-04T14:39:36.002480Z | false |
pandas-dev/pandas | https://github.com/pandas-dev/pandas/blob/91514c363604506f447e53380d3aa00520f1037b/pandas/compat/_optional.py | pandas/compat/_optional.py | from __future__ import annotations
import importlib
import sys
from typing import (
TYPE_CHECKING,
Literal,
overload,
)
import warnings
from pandas.util._exceptions import find_stack_level
from pandas.util.version import Version
if TYPE_CHECKING:
import types
# Update install.rst, actions-311-minim... | python | BSD-3-Clause | 91514c363604506f447e53380d3aa00520f1037b | 2026-01-04T14:39:36.002480Z | false |
pandas-dev/pandas | https://github.com/pandas-dev/pandas/blob/91514c363604506f447e53380d3aa00520f1037b/pandas/compat/__init__.py | pandas/compat/__init__.py | """
compat
======
Cross-compatible functions for different versions of Python.
Other items:
* platform checker
"""
from __future__ import annotations
import os
import platform
import sys
from typing import TYPE_CHECKING
from pandas.compat._constants import (
CHAINED_WARNING_DISABLED,
IS64,
ISMUSL,
... | python | BSD-3-Clause | 91514c363604506f447e53380d3aa00520f1037b | 2026-01-04T14:39:36.002480Z | false |
pandas-dev/pandas | https://github.com/pandas-dev/pandas/blob/91514c363604506f447e53380d3aa00520f1037b/pandas/compat/pyarrow.py | pandas/compat/pyarrow.py | """support pyarrow compatibility across versions"""
from __future__ import annotations
from pandas.util.version import Version
PYARROW_MIN_VERSION = "13.0.0"
try:
import pyarrow as pa
_palv = Version(Version(pa.__version__).base_version)
pa_version_under14p0 = _palv < Version("14.0.0")
pa_version_un... | python | BSD-3-Clause | 91514c363604506f447e53380d3aa00520f1037b | 2026-01-04T14:39:36.002480Z | false |
pandas-dev/pandas | https://github.com/pandas-dev/pandas/blob/91514c363604506f447e53380d3aa00520f1037b/pandas/compat/numpy/function.py | pandas/compat/numpy/function.py | """
For compatibility with numpy libraries, pandas functions or methods have to
accept '*args' and '**kwargs' parameters to accommodate numpy arguments that
are not actually used or respected in the pandas implementation.
To ensure that users do not abuse these parameters, validation is performed in
'validators.py' to... | python | BSD-3-Clause | 91514c363604506f447e53380d3aa00520f1037b | 2026-01-04T14:39:36.002480Z | false |
pandas-dev/pandas | https://github.com/pandas-dev/pandas/blob/91514c363604506f447e53380d3aa00520f1037b/pandas/compat/numpy/__init__.py | pandas/compat/numpy/__init__.py | """support numpy compatibility across versions"""
import warnings
import numpy as np
from pandas.util.version import Version
# numpy versioning
_np_version = np.__version__
_nlv = Version(_np_version)
np_version_gt2 = _nlv >= Version("2.0.0")
is_numpy_dev = _nlv.dev is not None
_min_numpy_ver = "1.26.0"
if _nlv <... | python | BSD-3-Clause | 91514c363604506f447e53380d3aa00520f1037b | 2026-01-04T14:39:36.002480Z | false |
pandas-dev/pandas | https://github.com/pandas-dev/pandas/blob/91514c363604506f447e53380d3aa00520f1037b/pandas/errors/__init__.py | pandas/errors/__init__.py | """
Expose public exceptions & warnings
"""
from __future__ import annotations
import abc
import ctypes
from pandas._config.config import OptionError
from pandas._libs.tslibs import (
IncompatibleFrequency,
OutOfBoundsDatetime,
OutOfBoundsTimedelta,
)
from pandas.util.version import InvalidVersion
cl... | python | BSD-3-Clause | 91514c363604506f447e53380d3aa00520f1037b | 2026-01-04T14:39:36.002480Z | true |
pandas-dev/pandas | https://github.com/pandas-dev/pandas/blob/91514c363604506f447e53380d3aa00520f1037b/pandas/errors/cow.py | pandas/errors/cow.py | _chained_assignment_msg = (
"A value is trying to be set on a copy of a DataFrame or Series "
"through chained assignment.\n"
"Such chained assignment never works to update the original DataFrame or "
"Series, because the intermediate object on which we are setting values "
"always behaves as a copy... | python | BSD-3-Clause | 91514c363604506f447e53380d3aa00520f1037b | 2026-01-04T14:39:36.002480Z | false |
pandas-dev/pandas | https://github.com/pandas-dev/pandas/blob/91514c363604506f447e53380d3aa00520f1037b/pandas/_config/localization.py | pandas/_config/localization.py | """
Helpers for configuring locale settings.
Name `localization` is chosen to avoid overlap with builtin `locale` module.
"""
from __future__ import annotations
from contextlib import contextmanager
import locale
import platform
import re
import subprocess
from typing import (
TYPE_CHECKING,
cast,
)
from pa... | python | BSD-3-Clause | 91514c363604506f447e53380d3aa00520f1037b | 2026-01-04T14:39:36.002480Z | false |
pandas-dev/pandas | https://github.com/pandas-dev/pandas/blob/91514c363604506f447e53380d3aa00520f1037b/pandas/_config/display.py | pandas/_config/display.py | """
Unopinionated display configuration.
"""
from __future__ import annotations
import locale
import sys
from pandas._config import config as cf
# -----------------------------------------------------------------------------
# Global formatting options
_initial_defencoding: str | None = None
def detect_console_en... | python | BSD-3-Clause | 91514c363604506f447e53380d3aa00520f1037b | 2026-01-04T14:39:36.002480Z | false |
pandas-dev/pandas | https://github.com/pandas-dev/pandas/blob/91514c363604506f447e53380d3aa00520f1037b/pandas/_config/config.py | pandas/_config/config.py | """
The config module holds package-wide configurables and provides
a uniform API for working with them.
Overview
========
This module supports the following requirements:
- options are referenced using keys in dot.notation, e.g. "x.y.option - z".
- keys are case-insensitive.
- functions should accept partial/regex k... | python | BSD-3-Clause | 91514c363604506f447e53380d3aa00520f1037b | 2026-01-04T14:39:36.002480Z | false |
pandas-dev/pandas | https://github.com/pandas-dev/pandas/blob/91514c363604506f447e53380d3aa00520f1037b/pandas/_config/__init__.py | pandas/_config/__init__.py | """
pandas._config is considered explicitly upstream of everything else in pandas,
should have no intra-pandas dependencies.
importing `dates` and `display` ensures that keys needed by _libs
are initialized.
"""
__all__ = [
"config",
"describe_option",
"detect_console_encoding",
"get_option",
"opt... | python | BSD-3-Clause | 91514c363604506f447e53380d3aa00520f1037b | 2026-01-04T14:39:36.002480Z | false |
pandas-dev/pandas | https://github.com/pandas-dev/pandas/blob/91514c363604506f447e53380d3aa00520f1037b/pandas/_config/dates.py | pandas/_config/dates.py | """
config for datetime formatting
"""
from __future__ import annotations
from pandas._config import config as cf
pc_date_dayfirst_doc = """
: boolean
When True, prints and parses dates with the day first, eg 20/01/2005
"""
pc_date_yearfirst_doc = """
: boolean
When True, prints and parses dates with the ye... | python | BSD-3-Clause | 91514c363604506f447e53380d3aa00520f1037b | 2026-01-04T14:39:36.002480Z | false |
pandas-dev/pandas | https://github.com/pandas-dev/pandas/blob/91514c363604506f447e53380d3aa00520f1037b/pandas/tests/test_expressions.py | pandas/tests/test_expressions.py | import operator
import re
import numpy as np
import pytest
from pandas.compat._optional import import_optional_dependency
from pandas import option_context
import pandas._testing as tm
from pandas.core.api import DataFrame
from pandas.core.computation import expressions as expr
from pandas.util.version import Versio... | python | BSD-3-Clause | 91514c363604506f447e53380d3aa00520f1037b | 2026-01-04T14:39:36.002480Z | false |
pandas-dev/pandas | https://github.com/pandas-dev/pandas/blob/91514c363604506f447e53380d3aa00520f1037b/pandas/tests/test_downstream.py | pandas/tests/test_downstream.py | """
Testing that we work in the downstream packages
"""
import array
from functools import partial
import importlib
import subprocess
import sys
import numpy as np
import pytest
from pandas.errors import IntCastingNaNError
import pandas as pd
from pandas import (
DataFrame,
DatetimeIndex,
Series,
Ti... | python | BSD-3-Clause | 91514c363604506f447e53380d3aa00520f1037b | 2026-01-04T14:39:36.002480Z | false |
pandas-dev/pandas | https://github.com/pandas-dev/pandas/blob/91514c363604506f447e53380d3aa00520f1037b/pandas/tests/test_errors.py | pandas/tests/test_errors.py | import warnings
import pytest
from pandas.errors import (
AbstractMethodError,
Pandas4Warning,
Pandas5Warning,
PandasChangeWarning,
PandasDeprecationWarning,
PandasPendingDeprecationWarning,
UndefinedVariableError,
)
import pandas as pd
import pandas._testing as tm
@pytest.mark.parametr... | python | BSD-3-Clause | 91514c363604506f447e53380d3aa00520f1037b | 2026-01-04T14:39:36.002480Z | false |
pandas-dev/pandas | https://github.com/pandas-dev/pandas/blob/91514c363604506f447e53380d3aa00520f1037b/pandas/tests/test_multilevel.py | pandas/tests/test_multilevel.py | import datetime
import numpy as np
import pytest
import pandas as pd
from pandas import (
ArrowDtype,
DataFrame,
MultiIndex,
Series,
)
import pandas._testing as tm
class TestMultiLevel:
def test_reindex_level(self, multiindex_year_month_day_dataframe_random_data):
# axis=0
ymd = ... | python | BSD-3-Clause | 91514c363604506f447e53380d3aa00520f1037b | 2026-01-04T14:39:36.002480Z | false |
pandas-dev/pandas | https://github.com/pandas-dev/pandas/blob/91514c363604506f447e53380d3aa00520f1037b/pandas/tests/test_aggregation.py | pandas/tests/test_aggregation.py | import numpy as np
import pytest
from pandas.core.apply import (
_make_unique_kwarg_list,
maybe_mangle_lambdas,
)
def test_maybe_mangle_lambdas_passthrough():
assert maybe_mangle_lambdas("mean") == "mean"
assert maybe_mangle_lambdas(lambda x: x).__name__ == "<lambda>"
# don't mangle single lambda... | python | BSD-3-Clause | 91514c363604506f447e53380d3aa00520f1037b | 2026-01-04T14:39:36.002480Z | false |
pandas-dev/pandas | https://github.com/pandas-dev/pandas/blob/91514c363604506f447e53380d3aa00520f1037b/pandas/tests/test_take.py | pandas/tests/test_take.py | from datetime import datetime
import numpy as np
import pytest
from pandas._libs import iNaT
from pandas import array
import pandas._testing as tm
import pandas.core.algorithms as algos
@pytest.fixture(
params=[
(np.int8, np.int16(127), np.int8),
(np.int8, np.int16(128), np.int16),
(np.... | python | BSD-3-Clause | 91514c363604506f447e53380d3aa00520f1037b | 2026-01-04T14:39:36.002480Z | false |
pandas-dev/pandas | https://github.com/pandas-dev/pandas/blob/91514c363604506f447e53380d3aa00520f1037b/pandas/tests/test_sorting.py | pandas/tests/test_sorting.py | from collections import defaultdict
from datetime import datetime
from itertools import product
import numpy as np
import pytest
from pandas import (
NA,
DataFrame,
MultiIndex,
Series,
array,
concat,
merge,
)
import pandas._testing as tm
from pandas.core.algorithms import safe_sort
import ... | python | BSD-3-Clause | 91514c363604506f447e53380d3aa00520f1037b | 2026-01-04T14:39:36.002480Z | false |
pandas-dev/pandas | https://github.com/pandas-dev/pandas/blob/91514c363604506f447e53380d3aa00520f1037b/pandas/tests/test_common.py | pandas/tests/test_common.py | import collections
from functools import partial
import string
import subprocess
import sys
import numpy as np
import pytest
from pandas.compat import WASM
import pandas as pd
from pandas import Series
import pandas._testing as tm
from pandas.core import ops
import pandas.core.common as com
from pandas.util.version ... | python | BSD-3-Clause | 91514c363604506f447e53380d3aa00520f1037b | 2026-01-04T14:39:36.002480Z | false |
pandas-dev/pandas | https://github.com/pandas-dev/pandas/blob/91514c363604506f447e53380d3aa00520f1037b/pandas/tests/test_col.py | pandas/tests/test_col.py | from datetime import datetime
import numpy as np
import pytest
from pandas._libs.properties import cache_readonly
import pandas as pd
import pandas._testing as tm
from pandas.api.typing import Expression
from pandas.tests.test_register_accessor import ensure_removed
@pytest.mark.parametrize(
("expr", "expected... | python | BSD-3-Clause | 91514c363604506f447e53380d3aa00520f1037b | 2026-01-04T14:39:36.002480Z | false |
pandas-dev/pandas | https://github.com/pandas-dev/pandas/blob/91514c363604506f447e53380d3aa00520f1037b/pandas/tests/test_register_accessor.py | pandas/tests/test_register_accessor.py | from collections.abc import Generator
import contextlib
import weakref
import pytest
import pandas as pd
import pandas._testing as tm
from pandas.core import accessor
def test_dirname_mixin() -> None:
# GH37173
class X(accessor.DirNamesMixin):
x = 1
y: int
def __init__(self) -> Non... | python | BSD-3-Clause | 91514c363604506f447e53380d3aa00520f1037b | 2026-01-04T14:39:36.002480Z | false |
pandas-dev/pandas | https://github.com/pandas-dev/pandas/blob/91514c363604506f447e53380d3aa00520f1037b/pandas/tests/test_algos.py | pandas/tests/test_algos.py | from datetime import datetime
import struct
import numpy as np
import pytest
from pandas._libs import (
algos as libalgos,
hashtable as ht,
)
from pandas.core.dtypes.common import (
is_bool_dtype,
is_complex_dtype,
is_float_dtype,
is_integer_dtype,
is_object_dtype,
)
from pandas.core.dtyp... | python | BSD-3-Clause | 91514c363604506f447e53380d3aa00520f1037b | 2026-01-04T14:39:36.002480Z | true |
pandas-dev/pandas | https://github.com/pandas-dev/pandas/blob/91514c363604506f447e53380d3aa00520f1037b/pandas/tests/test_optional_dependency.py | pandas/tests/test_optional_dependency.py | import sys
import types
import pytest
from pandas.compat._optional import (
VERSIONS,
import_optional_dependency,
)
import pandas._testing as tm
def test_import_optional():
match = "Import .*notapackage.* pip .* conda .* notapackage"
with pytest.raises(ImportError, match=match) as exc_info:
... | python | BSD-3-Clause | 91514c363604506f447e53380d3aa00520f1037b | 2026-01-04T14:39:36.002480Z | false |
pandas-dev/pandas | https://github.com/pandas-dev/pandas/blob/91514c363604506f447e53380d3aa00520f1037b/pandas/tests/test_flags.py | pandas/tests/test_flags.py | import pytest
import pandas as pd
class TestFlags:
def test_equality(self):
a = pd.DataFrame().set_flags(allows_duplicate_labels=True).flags
b = pd.DataFrame().set_flags(allows_duplicate_labels=False).flags
assert a == a
assert b == b
assert a != b
assert a != 2
... | python | BSD-3-Clause | 91514c363604506f447e53380d3aa00520f1037b | 2026-01-04T14:39:36.002480Z | false |
pandas-dev/pandas | https://github.com/pandas-dev/pandas/blob/91514c363604506f447e53380d3aa00520f1037b/pandas/tests/__init__.py | pandas/tests/__init__.py | python | BSD-3-Clause | 91514c363604506f447e53380d3aa00520f1037b | 2026-01-04T14:39:36.002480Z | false | |
pandas-dev/pandas | https://github.com/pandas-dev/pandas/blob/91514c363604506f447e53380d3aa00520f1037b/pandas/tests/test_nanops.py | pandas/tests/test_nanops.py | from functools import partial
import numpy as np
import pytest
import pandas.util._test_decorators as td
from pandas.core.dtypes.common import is_integer_dtype
import pandas as pd
from pandas import (
Series,
isna,
)
import pandas._testing as tm
from pandas.core import nanops
use_bn = nanops._USE_BOTTLENEC... | python | BSD-3-Clause | 91514c363604506f447e53380d3aa00520f1037b | 2026-01-04T14:39:36.002480Z | true |
pandas-dev/pandas | https://github.com/pandas-dev/pandas/blob/91514c363604506f447e53380d3aa00520f1037b/pandas/tests/scalar/test_nat.py | pandas/tests/scalar/test_nat.py | from datetime import (
datetime,
timedelta,
)
import operator
import zoneinfo
import numpy as np
import pytest
from pandas._libs.tslibs import iNaT
from pandas import (
DatetimeIndex,
DatetimeTZDtype,
Index,
NaT,
Period,
Series,
Timedelta,
TimedeltaIndex,
Timestamp,
is... | python | BSD-3-Clause | 91514c363604506f447e53380d3aa00520f1037b | 2026-01-04T14:39:36.002480Z | false |
pandas-dev/pandas | https://github.com/pandas-dev/pandas/blob/91514c363604506f447e53380d3aa00520f1037b/pandas/tests/scalar/__init__.py | pandas/tests/scalar/__init__.py | python | BSD-3-Clause | 91514c363604506f447e53380d3aa00520f1037b | 2026-01-04T14:39:36.002480Z | false | |
pandas-dev/pandas | https://github.com/pandas-dev/pandas/blob/91514c363604506f447e53380d3aa00520f1037b/pandas/tests/scalar/test_na_scalar.py | pandas/tests/scalar/test_na_scalar.py | from datetime import (
date,
time,
timedelta,
)
import pickle
import numpy as np
import pytest
from pandas._libs.missing import NA
from pandas.core.dtypes.common import is_scalar
import pandas as pd
import pandas._testing as tm
def test_singleton():
assert NA is NA
new_NA = type(NA)()
asse... | python | BSD-3-Clause | 91514c363604506f447e53380d3aa00520f1037b | 2026-01-04T14:39:36.002480Z | false |
pandas-dev/pandas | https://github.com/pandas-dev/pandas/blob/91514c363604506f447e53380d3aa00520f1037b/pandas/tests/scalar/period/test_asfreq.py | pandas/tests/scalar/period/test_asfreq.py | import pytest
from pandas._libs.tslibs.period import INVALID_FREQ_ERR_MSG
from pandas.errors import OutOfBoundsDatetime
from pandas import (
Period,
Timestamp,
offsets,
)
import pandas._testing as tm
bday_msg = "Period with BDay freq is deprecated"
class TestFreqConversion:
"""Test frequency conver... | python | BSD-3-Clause | 91514c363604506f447e53380d3aa00520f1037b | 2026-01-04T14:39:36.002480Z | true |
pandas-dev/pandas | https://github.com/pandas-dev/pandas/blob/91514c363604506f447e53380d3aa00520f1037b/pandas/tests/scalar/period/__init__.py | pandas/tests/scalar/period/__init__.py | python | BSD-3-Clause | 91514c363604506f447e53380d3aa00520f1037b | 2026-01-04T14:39:36.002480Z | false | |
pandas-dev/pandas | https://github.com/pandas-dev/pandas/blob/91514c363604506f447e53380d3aa00520f1037b/pandas/tests/scalar/period/test_arithmetic.py | pandas/tests/scalar/period/test_arithmetic.py | from datetime import timedelta
import numpy as np
import pytest
from pandas._libs.tslibs.period import IncompatibleFrequency
from pandas import (
NaT,
Period,
Timedelta,
Timestamp,
offsets,
)
class TestPeriodArithmetic:
def test_add_overflow_raises(self):
# GH#55503
per = Ti... | python | BSD-3-Clause | 91514c363604506f447e53380d3aa00520f1037b | 2026-01-04T14:39:36.002480Z | false |
pandas-dev/pandas | https://github.com/pandas-dev/pandas/blob/91514c363604506f447e53380d3aa00520f1037b/pandas/tests/scalar/period/test_period.py | pandas/tests/scalar/period/test_period.py | from datetime import (
date,
datetime,
timedelta,
)
import re
import numpy as np
import pytest
from pandas._libs.tslibs import iNaT
from pandas._libs.tslibs.ccalendar import (
DAYS,
MONTHS,
)
from pandas._libs.tslibs.np_datetime import OutOfBoundsDatetime
from pandas._libs.tslibs.parsing import Da... | python | BSD-3-Clause | 91514c363604506f447e53380d3aa00520f1037b | 2026-01-04T14:39:36.002480Z | true |
pandas-dev/pandas | https://github.com/pandas-dev/pandas/blob/91514c363604506f447e53380d3aa00520f1037b/pandas/tests/scalar/timestamp/test_comparisons.py | pandas/tests/scalar/timestamp/test_comparisons.py | from datetime import (
datetime,
timedelta,
)
import operator
import numpy as np
import pytest
from pandas import Timestamp
import pandas._testing as tm
class TestTimestampComparison:
def test_compare_non_nano_dt64(self):
# don't raise when converting dt64 to Timestamp in __richcmp__
dt ... | python | BSD-3-Clause | 91514c363604506f447e53380d3aa00520f1037b | 2026-01-04T14:39:36.002480Z | false |
pandas-dev/pandas | https://github.com/pandas-dev/pandas/blob/91514c363604506f447e53380d3aa00520f1037b/pandas/tests/scalar/timestamp/test_timestamp.py | pandas/tests/scalar/timestamp/test_timestamp.py | """test the scalar Timestamp"""
import calendar
from datetime import (
datetime,
timedelta,
timezone,
)
import locale
import time
import unicodedata
import zoneinfo
from dateutil.tz import (
tzlocal,
tzutc,
)
from hypothesis import (
given,
strategies as st,
)
import numpy as np
import pyt... | python | BSD-3-Clause | 91514c363604506f447e53380d3aa00520f1037b | 2026-01-04T14:39:36.002480Z | false |
pandas-dev/pandas | https://github.com/pandas-dev/pandas/blob/91514c363604506f447e53380d3aa00520f1037b/pandas/tests/scalar/timestamp/test_timezones.py | pandas/tests/scalar/timestamp/test_timezones.py | """
Tests for Timestamp timezone-related methods
"""
from datetime import datetime
from pandas._libs.tslibs import timezones
from pandas import Timestamp
class TestTimestampTZOperations:
# ------------------------------------------------------------------
def test_timestamp_timetz_equivalent_with_datetime... | python | BSD-3-Clause | 91514c363604506f447e53380d3aa00520f1037b | 2026-01-04T14:39:36.002480Z | false |
pandas-dev/pandas | https://github.com/pandas-dev/pandas/blob/91514c363604506f447e53380d3aa00520f1037b/pandas/tests/scalar/timestamp/test_constructors.py | pandas/tests/scalar/timestamp/test_constructors.py | import calendar
from datetime import (
date,
datetime,
timedelta,
timezone,
)
import zoneinfo
import dateutil.tz
from dateutil.tz import (
gettz,
tzoffset,
tzutc,
)
import numpy as np
import pytest
from pandas._libs.tslibs.dtypes import NpyDatetimeUnit
from pandas.compat import PY314
from ... | python | BSD-3-Clause | 91514c363604506f447e53380d3aa00520f1037b | 2026-01-04T14:39:36.002480Z | true |
pandas-dev/pandas | https://github.com/pandas-dev/pandas/blob/91514c363604506f447e53380d3aa00520f1037b/pandas/tests/scalar/timestamp/test_formats.py | pandas/tests/scalar/timestamp/test_formats.py | from datetime import (
datetime,
timezone,
)
import pprint
import dateutil.tz
import pytest
from pandas.compat import WASM
from pandas import Timestamp
ts_no_ns = Timestamp(
year=2019,
month=5,
day=18,
hour=15,
minute=17,
second=8,
microsecond=132263,
)
ts_no_ns_year1 = Timestamp... | python | BSD-3-Clause | 91514c363604506f447e53380d3aa00520f1037b | 2026-01-04T14:39:36.002480Z | false |
pandas-dev/pandas | https://github.com/pandas-dev/pandas/blob/91514c363604506f447e53380d3aa00520f1037b/pandas/tests/scalar/timestamp/__init__.py | pandas/tests/scalar/timestamp/__init__.py | python | BSD-3-Clause | 91514c363604506f447e53380d3aa00520f1037b | 2026-01-04T14:39:36.002480Z | false | |
pandas-dev/pandas | https://github.com/pandas-dev/pandas/blob/91514c363604506f447e53380d3aa00520f1037b/pandas/tests/scalar/timestamp/test_arithmetic.py | pandas/tests/scalar/timestamp/test_arithmetic.py | from datetime import (
datetime,
timedelta,
timezone,
)
from dateutil.tz import gettz
import numpy as np
import pytest
from pandas._libs.tslibs import (
OutOfBoundsDatetime,
OutOfBoundsTimedelta,
Timedelta,
Timestamp,
offsets,
to_offset,
)
import pandas._testing as tm
class Test... | python | BSD-3-Clause | 91514c363604506f447e53380d3aa00520f1037b | 2026-01-04T14:39:36.002480Z | false |
pandas-dev/pandas | https://github.com/pandas-dev/pandas/blob/91514c363604506f447e53380d3aa00520f1037b/pandas/tests/scalar/timestamp/methods/test_normalize.py | pandas/tests/scalar/timestamp/methods/test_normalize.py | import pytest
from pandas._libs.tslibs import Timestamp
from pandas._libs.tslibs.dtypes import NpyDatetimeUnit
class TestTimestampNormalize:
@pytest.mark.parametrize("arg", ["2013-11-30", "2013-11-30 12:00:00"])
def test_normalize(self, tz_naive_fixture, arg, unit):
tz = tz_naive_fixture
ts =... | python | BSD-3-Clause | 91514c363604506f447e53380d3aa00520f1037b | 2026-01-04T14:39:36.002480Z | false |
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