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/pandas/tests/window/__init__.py | pandas/tests/window/__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/window/test_pairwise.py | pandas/tests/window/test_pairwise.py | import numpy as np
import pytest
from pandas.compat import IS64
from pandas import (
DataFrame,
Index,
MultiIndex,
Series,
date_range,
)
import pandas._testing as tm
from pandas.core.algorithms import safe_sort
@pytest.fixture(
params=[
DataFrame([[2, 4], [1, 2], [5, 2], [8, 1]], col... | 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/window/test_rolling_skew_kurt.py | pandas/tests/window/test_rolling_skew_kurt.py | from functools import partial
import numpy as np
import pytest
from pandas import (
DataFrame,
Series,
concat,
isna,
notna,
)
import pandas._testing as tm
from pandas.tseries import offsets
@pytest.mark.parametrize("sp_func, roll_func", [["kurtosis", "kurt"], ["skew", "skew"]])
def test_series(... | 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/window/test_timeseries_window.py | pandas/tests/window/test_timeseries_window.py | import numpy as np
import pytest
import pandas.util._test_decorators as td
from pandas import (
DataFrame,
DatetimeIndex,
Index,
MultiIndex,
NaT,
Series,
Timestamp,
date_range,
)
import pandas._testing as tm
from pandas.tseries import offsets
@pytest.fixture
def regular():
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/tests/window/test_numba.py | pandas/tests/window/test_numba.py | import numpy as np
import pytest
from pandas.compat import is_platform_arm
from pandas.errors import NumbaUtilError
import pandas.util._test_decorators as td
from pandas import (
DataFrame,
Series,
option_context,
to_datetime,
)
import pandas._testing as tm
from pandas.api.indexers import BaseIndexer
... | 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/window/test_cython_aggregations.py | pandas/tests/window/test_cython_aggregations.py | from functools import partial
import sys
import numpy as np
import pytest
import pandas._libs.window.aggregations as window_aggregations
from pandas import Series
import pandas._testing as tm
def _get_rolling_aggregations():
# list pairs of name and function
# each function has this signature:
# (const... | 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/window/test_win_type.py | pandas/tests/window/test_win_type.py | import numpy as np
import pytest
from pandas import (
DataFrame,
Series,
Timedelta,
concat,
date_range,
)
import pandas._testing as tm
from pandas.api.indexers import BaseIndexer
@pytest.fixture(
params=[
"triang",
"blackman",
"hamming",
"bartlett",
"bo... | 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/window/moments/test_moments_consistency_expanding.py | pandas/tests/window/moments/test_moments_consistency_expanding.py | import numpy as np
import pytest
from pandas import Series
import pandas._testing as tm
def no_nans(x):
if isinstance(x, Series):
return x.notna().all()
else:
return x.notna().all().all()
def all_na(x):
if isinstance(x, Series):
return x.isnull().all()
else:
return x... | 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/window/moments/test_moments_consistency_ewm.py | pandas/tests/window/moments/test_moments_consistency_ewm.py | import numpy as np
import pytest
from pandas import (
DataFrame,
Series,
concat,
)
import pandas._testing as tm
def create_mock_weights(obj, com, adjust, ignore_na):
if isinstance(obj, DataFrame):
if not len(obj.columns):
return DataFrame(index=obj.index, columns=obj.columns)
... | 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/window/moments/conftest.py | pandas/tests/window/moments/conftest.py | import itertools
import numpy as np
import pytest
from pandas import (
DataFrame,
Series,
notna,
)
def create_series():
return [
Series(dtype=np.float64, name="a"),
Series([np.nan] * 5),
Series([1.0] * 5),
Series(range(5, 0, -1)),
Series(range(5)),
Ser... | 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/window/moments/__init__.py | pandas/tests/window/moments/__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/window/moments/test_moments_consistency_rolling.py | pandas/tests/window/moments/test_moments_consistency_rolling.py | import numpy as np
import pytest
from pandas import Series
import pandas._testing as tm
def no_nans(x):
return x.notna().all(axis=None)
def all_na(x):
return x.isnull().all(axis=None)
@pytest.fixture(params=[(1, 0), (5, 1)])
def rolling_consistency_cases(request):
"""window, min_periods"""
return... | 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/apply/test_series_apply_relabeling.py | pandas/tests/apply/test_series_apply_relabeling.py | import pandas as pd
import pandas._testing as tm
def test_relabel_no_duplicated_method():
# this is to test there is no duplicated method used in agg
df = pd.DataFrame({"A": [1, 2, 1, 2], "B": [1, 2, 3, 4]})
result = df["A"].agg(foo="sum")
expected = df["A"].agg({"foo": "sum"})
tm.assert_series_e... | 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/apply/test_invalid_arg.py | pandas/tests/apply/test_invalid_arg.py | # Tests specifically aimed at detecting bad arguments.
# This file is organized by reason for exception.
# 1. always invalid argument values
# 2. missing column(s)
# 3. incompatible ops/dtype/args/kwargs
# 4. invalid result shape/type
# If your test does not fit into one of these categories, add to this... | 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/apply/common.py | pandas/tests/apply/common.py | from pandas.core.groupby.base import transformation_kernels
# There is no Series.cumcount or DataFrame.cumcount
series_transform_kernels = [
x for x in sorted(transformation_kernels) if x != "cumcount"
]
frame_transform_kernels = [x for x in sorted(transformation_kernels) if x != "cumcount"]
| 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/apply/test_series_apply.py | pandas/tests/apply/test_series_apply.py | import numpy as np
import pytest
import pandas as pd
from pandas import (
DataFrame,
Index,
MultiIndex,
Series,
concat,
date_range,
timedelta_range,
)
import pandas._testing as tm
from pandas.tests.apply.common import series_transform_kernels
@pytest.fixture(params=[False, "compat"])
def ... | 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/apply/test_frame_transform.py | pandas/tests/apply/test_frame_transform.py | import numpy as np
import pytest
from pandas import (
DataFrame,
MultiIndex,
Series,
)
import pandas._testing as tm
from pandas.tests.apply.common import frame_transform_kernels
from pandas.tests.frame.common import zip_frames
def unpack_obj(obj, klass, axis):
"""
Helper to ensure we have the rig... | 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/apply/test_str.py | pandas/tests/apply/test_str.py | from itertools import chain
import operator
import numpy as np
import pytest
from pandas.compat import (
WASM,
)
from pandas.core.dtypes.common import is_number
from pandas import (
DataFrame,
Series,
)
import pandas._testing as tm
from pandas.tests.apply.common import (
frame_transform_kernels,
... | 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/apply/test_series_transform.py | pandas/tests/apply/test_series_transform.py | import numpy as np
import pytest
from pandas import (
DataFrame,
MultiIndex,
Series,
concat,
)
import pandas._testing as tm
@pytest.mark.parametrize(
"args, kwargs, increment",
[((), {}, 0), ((), {"a": 1}, 1), ((2, 3), {}, 32), ((1,), {"c": 2}, 201)],
)
def test_agg_args(args, kwargs, increme... | 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/apply/conftest.py | pandas/tests/apply/conftest.py | import numpy as np
import pytest
from pandas import (
DataFrame,
Series,
)
from pandas.api.executors import BaseExecutionEngine
class MockExecutionEngine(BaseExecutionEngine):
"""
Execution Engine to test if the execution engine interface receives and
uses all parameters provided by the user.
... | 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/apply/__init__.py | pandas/tests/apply/__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/apply/test_frame_apply.py | pandas/tests/apply/test_frame_apply.py | from datetime import datetime
import warnings
import numpy as np
import pytest
from pandas.compat import is_platform_arm
from pandas.core.dtypes.dtypes import CategoricalDtype
import pandas as pd
from pandas import (
DataFrame,
MultiIndex,
Series,
Timestamp,
date_range,
)
import pandas._testing ... | 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/apply/test_frame_apply_relabeling.py | pandas/tests/apply/test_frame_apply_relabeling.py | import numpy as np
import pandas as pd
import pandas._testing as tm
def test_agg_relabel():
# GH 26513
df = pd.DataFrame({"A": [1, 2, 1, 2], "B": [1, 2, 3, 4], "C": [3, 4, 5, 6]})
# simplest case with one column, one func
result = df.agg(foo=("B", "sum"))
expected = pd.DataFrame({"B": [10]}, ind... | 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/apply/test_numba.py | pandas/tests/apply/test_numba.py | import numpy as np
import pytest
from pandas.compat import is_platform_arm
import pandas.util._test_decorators as td
import pandas as pd
from pandas import (
DataFrame,
Index,
)
import pandas._testing as tm
from pandas.util.version import Version
pytestmark = [td.skip_if_no("numba"), pytest.mark.single_cpu, ... | 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/dtypes/test_inference.py | pandas/tests/dtypes/test_inference.py | """
These the test the public routines exposed in types/common.py
related to inference and not otherwise tested in types/test_common.py
"""
import collections
from collections import namedtuple
from collections.abc import Iterator
from datetime import (
date,
datetime,
time,
timedelta,
timezone,
)... | 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/dtypes/test_concat.py | pandas/tests/dtypes/test_concat.py | import pytest
import pandas.core.dtypes.concat as _concat
import pandas as pd
from pandas import Series
import pandas._testing as tm
def test_concat_mismatched_categoricals_with_empty():
# concat_compat behavior on series._values should match pd.concat on series
ser1 = Series(["a", "b", "c"], dtype="categor... | 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/dtypes/test_common.py | pandas/tests/dtypes/test_common.py | from __future__ import annotations
import numpy as np
import pytest
from pandas.compat import HAS_PYARROW
from pandas.errors import Pandas4Warning
import pandas.util._test_decorators as td
from pandas.core.dtypes.astype import astype_array
import pandas.core.dtypes.common as com
from pandas.core.dtypes.dtypes 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/dtypes/test_missing.py | pandas/tests/dtypes/test_missing.py | from datetime import datetime
from decimal import Decimal
import numpy as np
import pytest
from pandas._libs import missing as libmissing
from pandas._libs.tslibs import iNaT
from pandas.core.dtypes.common import (
is_float,
is_scalar,
pandas_dtype,
)
from pandas.core.dtypes.dtypes import (
Categoric... | 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/dtypes/test_dtypes.py | pandas/tests/dtypes/test_dtypes.py | import re
import warnings
import weakref
import numpy as np
import pytest
from pandas._libs.tslibs.dtypes import NpyDatetimeUnit
from pandas.errors import Pandas4Warning
from pandas.core.dtypes.base import _registry as registry
from pandas.core.dtypes.common import (
is_bool_dtype,
is_categorical_dtype,
... | 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/dtypes/__init__.py | pandas/tests/dtypes/__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/dtypes/test_generic.py | pandas/tests/dtypes/test_generic.py | import re
import numpy as np
import pytest
from pandas.core.dtypes import generic as gt
import pandas as pd
import pandas._testing as tm
class TestABCClasses:
tuples = [[1, 2, 2], ["red", "blue", "red"]]
multi_index = pd.MultiIndex.from_arrays(tuples, names=("number", "color"))
datetime_index = pd.to_d... | 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/dtypes/cast/test_construct_from_scalar.py | pandas/tests/dtypes/cast/test_construct_from_scalar.py | import numpy as np
import pytest
from pandas.core.dtypes.cast import construct_1d_arraylike_from_scalar
from pandas.core.dtypes.dtypes import CategoricalDtype
from pandas import (
Categorical,
Timedelta,
)
import pandas._testing as tm
def test_cast_1d_array_like_from_scalar_categorical():
# see gh-19565... | 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/dtypes/cast/test_construct_object_arr.py | pandas/tests/dtypes/cast/test_construct_object_arr.py | import pytest
from pandas.core.dtypes.cast import construct_1d_object_array_from_listlike
@pytest.mark.parametrize("datum1", [1, 2.0, "3", (4, 5), [6, 7], None])
@pytest.mark.parametrize("datum2", [8, 9.0, "10", (11, 12), [13, 14], None])
def test_cast_1d_array(datum1, datum2):
data = [datum1, datum2]
result... | 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/dtypes/cast/test_can_hold_element.py | pandas/tests/dtypes/cast/test_can_hold_element.py | import numpy as np
from pandas.core.dtypes.cast import can_hold_element
from pandas import Categorical
def test_can_hold_element_range(any_int_numpy_dtype):
# GH#44261
dtype = np.dtype(any_int_numpy_dtype)
arr = np.array([], dtype=dtype)
rng = range(2, 127)
assert can_hold_element(arr, rng)
... | 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/dtypes/cast/test_box_unbox.py | pandas/tests/dtypes/cast/test_box_unbox.py | from datetime import (
datetime,
timedelta,
)
import numpy as np
import pytest
from pandas.core.dtypes.cast import (
maybe_box_native,
maybe_unbox_numpy_scalar,
)
from pandas import (
Interval,
Period,
Timedelta,
Timestamp,
)
@pytest.mark.parametrize(
"obj,expected_dtype",
[... | 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/dtypes/cast/test_dict_compat.py | pandas/tests/dtypes/cast/test_dict_compat.py | import numpy as np
from pandas.core.dtypes.cast import dict_compat
from pandas import Timestamp
def test_dict_compat():
data_datetime64 = {np.datetime64("1990-03-15"): 1, np.datetime64("2015-03-15"): 2}
data_unchanged = {1: 2, 3: 4, 5: 6}
expected = {Timestamp("1990-3-15"): 1, Timestamp("2015-03-15"): 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/dtypes/cast/test_promote.py | pandas/tests/dtypes/cast/test_promote.py | """
These test the method maybe_promote from core/dtypes/cast.py
"""
import datetime
from decimal import Decimal
import numpy as np
import pytest
from pandas._libs.tslibs import NaT
from pandas.core.dtypes.cast import maybe_promote
from pandas.core.dtypes.common import is_scalar
from pandas.core.dtypes.dtypes impor... | 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/dtypes/cast/test_construct_ndarray.py | pandas/tests/dtypes/cast/test_construct_ndarray.py | import numpy as np
import pytest
import pandas as pd
import pandas._testing as tm
from pandas.core.construction import sanitize_array
@pytest.mark.parametrize(
"values, dtype, expected",
[
([1, 2, 3], None, np.array([1, 2, 3], dtype=np.int64)),
(np.array([1, 2, 3]), None, np.array([1, 2, 3]))... | 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/dtypes/cast/test_infer_dtype.py | pandas/tests/dtypes/cast/test_infer_dtype.py | from datetime import (
date,
datetime,
timedelta,
)
import numpy as np
import pytest
from pandas.core.dtypes.cast import (
infer_dtype_from,
infer_dtype_from_array,
infer_dtype_from_scalar,
)
from pandas.core.dtypes.common import is_dtype_equal
from pandas import (
Categorical,
Interv... | 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/dtypes/cast/test_infer_datetimelike.py | pandas/tests/dtypes/cast/test_infer_datetimelike.py | import numpy as np
import pytest
from pandas import (
DataFrame,
NaT,
Series,
Timestamp,
)
@pytest.mark.parametrize(
"data,exp_size",
[
# see gh-16362.
([[NaT, "a", "b", 0], [NaT, "b", "c", 1]], 8),
([[NaT, "a", 0], [NaT, "b", 1]], 6),
],
)
def test_maybe_infer_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/tests/dtypes/cast/__init__.py | pandas/tests/dtypes/cast/__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/dtypes/cast/test_downcast.py | pandas/tests/dtypes/cast/test_downcast.py | import decimal
import numpy as np
import pytest
from pandas.core.dtypes.cast import maybe_downcast_to_dtype
from pandas import (
Series,
)
import pandas._testing as tm
@pytest.mark.parametrize(
"arr,dtype,expected",
[
(
# This is a judgement call, but we do _not_ downcast Decimal
... | 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/dtypes/cast/test_find_common_type.py | pandas/tests/dtypes/cast/test_find_common_type.py | import numpy as np
import pytest
from pandas.core.dtypes.cast import find_common_type
from pandas.core.dtypes.common import pandas_dtype
from pandas.core.dtypes.dtypes import (
CategoricalDtype,
DatetimeTZDtype,
IntervalDtype,
PeriodDtype,
)
from pandas import (
Categorical,
Index,
)
@pytest... | 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/reductions/test_stat_reductions.py | pandas/tests/reductions/test_stat_reductions.py | """
Tests for statistical reductions of 2nd moment or higher: var, skew, kurt, ...
"""
import inspect
import numpy as np
import pytest
import pandas as pd
from pandas import (
DataFrame,
Series,
date_range,
)
import pandas._testing as tm
class TestDatetimeLikeStatReductions:
def test_dt64_mean(self... | 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/reductions/test_reductions.py | pandas/tests/reductions/test_reductions.py | from datetime import (
datetime,
timedelta,
)
from decimal import Decimal
import numpy as np
import pytest
import pandas as pd
from pandas import (
Categorical,
DataFrame,
DatetimeIndex,
Index,
NaT,
Period,
PeriodIndex,
RangeIndex,
Series,
Timedelta,
TimedeltaIndex,... | 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/reductions/__init__.py | pandas/tests/reductions/__init__.py | """
Tests for reductions where we want to test for matching behavior across
Array, Index, Series, and DataFrame methods.
"""
| 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/interchange/test_spec_conformance.py | pandas/tests/interchange/test_spec_conformance.py | """
A verbatim copy (vendored) of the spec tests.
Taken from https://github.com/data-apis/dataframe-api
"""
import ctypes
import math
import pytest
import pandas as pd
import pandas._testing as tm
@pytest.fixture
def df_from_dict():
def maker(dct, is_categorical=False):
df = pd.DataFrame(dct)
r... | 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/interchange/test_utils.py | pandas/tests/interchange/test_utils.py | import numpy as np
import pytest
import pandas as pd
from pandas.core.interchange.utils import dtype_to_arrow_c_fmt
# TODO: use ArrowSchema to get reference C-string.
# At the time, there is no way to access ArrowSchema holding a type format string
# from python. The only way to access it is to export the structure 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/tests/interchange/test_impl.py | pandas/tests/interchange/test_impl.py | from datetime import (
datetime,
timezone,
)
import numpy as np
import pytest
from pandas._libs.tslibs import iNaT
from pandas.compat import (
is_ci_environment,
is_platform_windows,
)
import pandas as pd
import pandas._testing as tm
from pandas.core.interchange.column import PandasColumn
from pandas... | 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/interchange/__init__.py | pandas/tests/interchange/__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/computation/test_eval.py | pandas/tests/computation/test_eval.py | from __future__ import annotations
from functools import reduce
from itertools import product
import operator
import numpy as np
import pytest
from pandas.compat import PY312
from pandas.compat._optional import import_optional_dependency
from pandas.errors import (
NumExprClobberingError,
PerformanceWarning,... | 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/computation/test_compat.py | pandas/tests/computation/test_compat.py | import pytest
from pandas.compat._optional import VERSIONS
import pandas as pd
from pandas.core.computation import expr
from pandas.core.computation.engines import ENGINES
from pandas.util.version import Version
def test_compat():
# test we have compat with our version of numexpr
from pandas.core.computati... | 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/computation/__init__.py | pandas/tests/computation/__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/strings/test_split_partition.py | pandas/tests/strings/test_split_partition.py | from datetime import datetime
import re
import numpy as np
import pytest
import pandas as pd
from pandas import (
DataFrame,
Index,
MultiIndex,
Series,
_testing as tm,
)
from pandas.tests.strings import (
_convert_na_value,
is_object_or_nan_string_dtype,
)
@pytest.mark.parametrize("metho... | 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/strings/test_cat.py | pandas/tests/strings/test_cat.py | from datetime import datetime
import re
import numpy as np
import pytest
import pandas.util._test_decorators as td
from pandas import (
DataFrame,
Index,
MultiIndex,
Series,
_testing as tm,
concat,
option_context,
)
@pytest.fixture
def index_or_series2(index_or_series):
return index... | 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/strings/test_extract.py | pandas/tests/strings/test_extract.py | from datetime import datetime
import re
import numpy as np
import pytest
from pandas.core.dtypes.dtypes import ArrowDtype
from pandas import (
DataFrame,
Index,
MultiIndex,
Series,
_testing as tm,
)
def test_extract_expand_kwarg_wrong_type_raises(any_string_dtype):
# TODO: should this raise... | 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/strings/conftest.py | pandas/tests/strings/conftest.py | import pytest
from pandas import Series
from pandas.core.strings.accessor import StringMethods
_any_string_method = [
("cat", (), {"sep": ","}),
("cat", (Series(list("zyx")),), {"sep": ",", "join": "left"}),
("center", (10,), {}),
("contains", ("a",), {}),
("count", ("a",), {}),
("decode", ("U... | 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/strings/test_strings.py | pandas/tests/strings/test_strings.py | from datetime import (
datetime,
timedelta,
)
import numpy as np
import pytest
from pandas.compat import pa_version_under21p0
from pandas import (
NA,
DataFrame,
Index,
MultiIndex,
Series,
StringDtype,
option_context,
)
import pandas._testing as tm
from pandas.core.strings.accesso... | 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/strings/test_get_dummies.py | pandas/tests/strings/test_get_dummies.py | import numpy as np
import pytest
import pandas.util._test_decorators as td
from pandas import (
DataFrame,
Index,
MultiIndex,
Series,
_testing as tm,
)
def test_get_dummies(any_string_dtype):
s = Series(["a|b", "a|c", np.nan], dtype=any_string_dtype)
result = s.str.get_dummies("|")
e... | 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/strings/test_api.py | pandas/tests/strings/test_api.py | import weakref
import numpy as np
import pytest
from pandas import (
CategoricalDtype,
DataFrame,
Index,
MultiIndex,
Series,
_testing as tm,
)
from pandas.core.strings.accessor import StringMethods
# subset of the full set from pandas/conftest.py
_any_allowed_skipna_inferred_dtype = [
("s... | 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/strings/test_string_array.py | pandas/tests/strings/test_string_array.py | import numpy as np
import pytest
from pandas._libs import lib
from pandas import (
NA,
DataFrame,
Series,
_testing as tm,
)
def test_string_array(nullable_string_dtype, any_string_method):
method_name, args, kwargs = any_string_method
data = ["a", "bb", np.nan, "ccc"]
a = Series(data, d... | 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/strings/__init__.py | pandas/tests/strings/__init__.py | import numpy as np
import pandas as pd
def is_object_or_nan_string_dtype(dtype):
"""
Check if string-like dtype is following NaN semantics, i.e. is object
dtype or a NaN-variant of the StringDtype.
"""
return (isinstance(dtype, np.dtype) and dtype == "object") or (
dtype.na_value is np.na... | 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/strings/test_find_replace.py | pandas/tests/strings/test_find_replace.py | from datetime import datetime
import re
import numpy as np
import pytest
import pandas.util._test_decorators as td
import pandas as pd
from pandas import (
Series,
StringDtype,
_testing as tm,
)
from pandas.tests.strings import (
_convert_na_value,
is_object_or_nan_string_dtype,
)
# ------------... | 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/strings/test_case_justify.py | pandas/tests/strings/test_case_justify.py | from datetime import datetime
import operator
import numpy as np
import pytest
from pandas import (
Series,
_testing as tm,
)
def test_title(any_string_dtype):
s = Series(["FOO", "BAR", np.nan, "Blah", "blurg"], dtype=any_string_dtype)
result = s.str.title()
expected = Series(["Foo", "Bar", np.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/tests/tslibs/test_conversion.py | pandas/tests/tslibs/test_conversion.py | from datetime import (
datetime,
timezone,
)
import numpy as np
import pytest
from pandas._libs.tslibs import (
OutOfBoundsTimedelta,
astype_overflowsafe,
conversion,
iNaT,
timezones,
tz_convert_from_utc,
tzconversion,
)
from pandas import (
Timestamp,
date_range,
)
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/tslibs/test_ccalendar.py | pandas/tests/tslibs/test_ccalendar.py | from datetime import (
date,
datetime,
)
from hypothesis import given
import numpy as np
import pytest
from pandas._libs.tslibs import ccalendar
from pandas._testing._hypothesis import DATETIME_IN_PD_TIMESTAMP_RANGE_NO_TZ
@pytest.mark.parametrize(
"date_tuple,expected",
[
((2001, 3, 1), 60)... | 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/tslibs/test_array_to_datetime.py | pandas/tests/tslibs/test_array_to_datetime.py | from datetime import (
date,
datetime,
timedelta,
timezone,
)
from dateutil.tz.tz import tzoffset
import numpy as np
import pytest
from pandas._libs import (
NaT,
iNaT,
tslib,
)
from pandas._libs.tslibs.dtypes import NpyDatetimeUnit
from pandas import Timestamp
import pandas._testing as 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/tests/tslibs/test_timezones.py | pandas/tests/tslibs/test_timezones.py | from datetime import (
datetime,
timedelta,
timezone,
)
import subprocess
import sys
import textwrap
import dateutil.tz
import pytest
from pandas._libs.tslibs import (
conversion,
timezones,
)
from pandas.compat import is_platform_windows
from pandas import Timestamp
@pytest.mark.single_cpu
def... | 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/tslibs/test_liboffsets.py | pandas/tests/tslibs/test_liboffsets.py | """
Tests for helper functions in the cython tslibs.offsets
"""
from datetime import datetime
import pytest
from pandas._libs.tslibs.ccalendar import (
get_firstbday,
get_lastbday,
)
import pandas._libs.tslibs.offsets as liboffsets
from pandas._libs.tslibs.offsets import roll_qtrday
from pandas import Times... | 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/tslibs/test_strptime.py | pandas/tests/tslibs/test_strptime.py | from datetime import (
datetime,
timezone,
)
import numpy as np
import pytest
from pandas._libs.tslibs.dtypes import NpyDatetimeUnit
from pandas._libs.tslibs.strptime import array_strptime
from pandas import (
NaT,
Timestamp,
)
import pandas._testing as tm
creso_infer = NpyDatetimeUnit.NPY_FR_GENERI... | 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/tslibs/test_np_datetime.py | pandas/tests/tslibs/test_np_datetime.py | import numpy as np
import pytest
from pandas._libs.tslibs.dtypes import NpyDatetimeUnit
from pandas._libs.tslibs.np_datetime import (
OutOfBoundsDatetime,
OutOfBoundsTimedelta,
astype_overflowsafe,
is_unitless,
py_get_unit_from_dtype,
py_td64_to_tdstruct,
)
import pandas._testing as tm
def 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/tests/tslibs/test_parsing.py | pandas/tests/tslibs/test_parsing.py | """
Tests for Timestamp parsing, aimed at pandas/_libs/tslibs/parsing.pyx
"""
from datetime import datetime
import re
from dateutil.parser import parse as du_parse
import numpy as np
import pytest
from pandas._libs.tslibs import (
parsing,
strptime,
)
from pandas._libs.tslibs.parsing import parse_datetime_st... | 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/tslibs/test_libfrequencies.py | pandas/tests/tslibs/test_libfrequencies.py | import pytest
from pandas._libs.tslibs.parsing import get_rule_month
from pandas.tseries import offsets
@pytest.mark.parametrize(
"obj,expected",
[
("W", "DEC"),
(offsets.Week().freqstr, "DEC"),
("D", "DEC"),
(offsets.Day().freqstr, "DEC"),
("Q", "DEC"),
(offs... | 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/tslibs/test_resolution.py | pandas/tests/tslibs/test_resolution.py | import datetime
import numpy as np
import pytest
from pandas._libs.tslibs import (
Resolution,
get_resolution,
)
from pandas._libs.tslibs.dtypes import NpyDatetimeUnit
def test_get_resolution_nano():
# don't return the fallback RESO_DAY
arr = np.array([1], dtype=np.int64)
res = get_resolution(ar... | 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/tslibs/test_api.py | pandas/tests/tslibs/test_api.py | """Tests that the tslibs API is locked down"""
from pandas._libs import tslibs
def test_namespace():
submodules = [
"base",
"ccalendar",
"conversion",
"dtypes",
"fields",
"nattype",
"np_datetime",
"offsets",
"parsing",
"period",
... | 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/tslibs/test_npy_units.py | pandas/tests/tslibs/test_npy_units.py | import numpy as np
from pandas._libs.tslibs.dtypes import abbrev_to_npy_unit
from pandas._libs.tslibs.vectorized import is_date_array_normalized
# a datetime64 ndarray which *is* normalized
day_arr = np.arange(10, dtype="i8").view("M8[D]")
class TestIsDateArrayNormalized:
def test_is_date_array_normalized_day(s... | 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/tslibs/test_fields.py | pandas/tests/tslibs/test_fields.py | import numpy as np
import pytest
from pandas._libs.tslibs import fields
import pandas._testing as tm
@pytest.fixture
def dtindex():
dtindex = np.arange(5, dtype=np.int64) * 10**9 * 3600 * 24 * 32
dtindex.flags.writeable = False
return dtindex
def test_get_date_name_field_readonly(dtindex):
# https... | 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/tslibs/test_timedeltas.py | pandas/tests/tslibs/test_timedeltas.py | import re
import numpy as np
import pytest
from pandas._libs.tslibs.timedeltas import (
array_to_timedelta64,
delta_to_nanoseconds,
ints_to_pytimedelta,
)
from pandas import (
Timedelta,
offsets,
)
import pandas._testing as tm
@pytest.mark.parametrize(
"obj,expected",
[
(np.time... | 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/tslibs/__init__.py | pandas/tests/tslibs/__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/tslibs/test_parse_iso8601.py | pandas/tests/tslibs/test_parse_iso8601.py | from datetime import datetime
import pytest
from pandas._libs import tslib
from pandas import Timestamp
@pytest.mark.parametrize(
"date_str, exp",
[
("2011-01-02", datetime(2011, 1, 2)),
("2011-1-2", datetime(2011, 1, 2)),
("2011-01", datetime(2011, 1, 1)),
("2011-1", dateti... | 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/tslibs/test_to_offset.py | pandas/tests/tslibs/test_to_offset.py | import re
import pytest
from pandas._libs.tslibs import (
Timedelta,
offsets,
to_offset,
)
from pandas.errors import Pandas4Warning
import pandas._testing as tm
@pytest.mark.parametrize(
"freq_input,expected",
[
(to_offset("10us"), offsets.Micro(10)),
(offsets.Hour(), offsets.Ho... | 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/tslibs/test_tzconversion.py | pandas/tests/tslibs/test_tzconversion.py | import zoneinfo
import numpy as np
import pytest
from pandas._libs.tslibs.tzconversion import tz_localize_to_utc
class TestTZLocalizeToUTC:
def test_tz_localize_to_utc_ambiguous_infer(self):
# val is a timestamp that is ambiguous when localized to US/Eastern
val = 1_320_541_200_000_000_000
... | 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/tslibs/test_period.py | pandas/tests/tslibs/test_period.py | import numpy as np
import pytest
from pandas._libs.tslibs import (
iNaT,
to_offset,
)
from pandas._libs.tslibs.period import (
extract_ordinals,
get_period_field_arr,
period_asfreq,
period_ordinal,
)
import pandas._testing as tm
def get_freq_code(freqstr: str) -> int:
off = to_offset(fre... | 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/api/test_types.py | pandas/tests/api/test_types.py | from __future__ import annotations
import pandas._testing as tm
from pandas.api import types
from pandas.tests.api.test_api import Base
class TestTypes(Base):
allowed = [
"is_any_real_numeric_dtype",
"is_bool",
"is_bool_dtype",
"is_categorical_dtype",
"is_complex",
... | 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/api/test_api.py | pandas/tests/api/test_api.py | from __future__ import annotations
import importlib
import inspect
import pathlib
import pkgutil
import pytest
import pandas as pd
from pandas import api
import pandas._testing as tm
from pandas.api import (
executors as api_executors,
extensions as api_extensions,
indexers as api_indexers,
interchan... | 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/api/__init__.py | pandas/tests/api/__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/arithmetic/test_string.py | pandas/tests/arithmetic/test_string.py | import operator
from pathlib import Path
import numpy as np
import pytest
from pandas.compat import HAS_PYARROW
from pandas.errors import Pandas4Warning
import pandas.util._test_decorators as td
import pandas as pd
from pandas import (
NA,
ArrowDtype,
Series,
StringDtype,
)
import pandas._testing as ... | 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/arithmetic/common.py | pandas/tests/arithmetic/common.py | """
Assertion helpers for arithmetic tests.
"""
import numpy as np
import pytest
from pandas import (
DataFrame,
Index,
Series,
array,
)
import pandas._testing as tm
from pandas.core.arrays import (
BooleanArray,
NumpyExtensionArray,
)
def assert_cannot_add(left, right, msg="cannot add"):
... | 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/arithmetic/test_object.py | pandas/tests/arithmetic/test_object.py | # Arithmetic tests for DataFrame/Series/Index/Array classes that should
# behave identically.
# Specifically for object dtype
import datetime
from decimal import Decimal
import operator
import numpy as np
import pytest
import pandas.util._test_decorators as td
import pandas as pd
from pandas import (
Series,
... | 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/arithmetic/test_interval.py | pandas/tests/arithmetic/test_interval.py | import operator
import numpy as np
import pytest
from pandas.core.dtypes.common import is_list_like
import pandas as pd
from pandas import (
Categorical,
Index,
Interval,
IntervalIndex,
Period,
Series,
Timedelta,
Timestamp,
date_range,
period_range,
timedelta_range,
)
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/tests/arithmetic/test_numeric.py | pandas/tests/arithmetic/test_numeric.py | # Arithmetic tests for DataFrame/Series/Index/Array classes that should
# behave identically.
# Specifically for numeric dtypes
from __future__ import annotations
from collections import abc
from datetime import timedelta
from decimal import Decimal
import operator
import numpy as np
import pytest
import pandas as p... | 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/arithmetic/test_bool.py | pandas/tests/arithmetic/test_bool.py | import pytest
from pandas import (
DataFrame,
Series,
)
import pandas._testing as tm
def test_divmod_bool_raises(box_with_array):
# GH#46043 // raises, so divmod should too
ser = Series([True, False])
obj = tm.box_expected(ser, box_with_array)
msg = "operator 'floordiv' not implemented for b... | 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/arithmetic/test_timedelta64.py | pandas/tests/arithmetic/test_timedelta64.py | # Arithmetic tests for DataFrame/Series/Index/Array classes that should
# behave identically.
from datetime import (
datetime,
timedelta,
)
import numpy as np
import pytest
from pandas._libs.tslibs import timezones
from pandas.compat import WASM
from pandas.errors import OutOfBoundsDatetime
import pandas.util... | 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/arithmetic/test_datetime64.py | pandas/tests/arithmetic/test_datetime64.py | # Arithmetic tests for DataFrame/Series/Index/Array classes that should
# behave identically.
# Specifically for datetime64 and datetime64tz dtypes
from datetime import (
datetime,
time,
timedelta,
timezone,
)
from itertools import (
product,
)
import operator
import numpy as np
import pytest
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/arithmetic/conftest.py | pandas/tests/arithmetic/conftest.py | import numpy as np
import pytest
import pandas as pd
from pandas import Index
@pytest.fixture(params=[1, np.array(1, dtype=np.int64)])
def one(request):
"""
Several variants of integer value 1. The zero-dim integer array
behaves like an integer.
This fixture can be used to check that datetimelike in... | 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/arithmetic/__init__.py | pandas/tests/arithmetic/__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/arithmetic/test_array_ops.py | pandas/tests/arithmetic/test_array_ops.py | import operator
import numpy as np
import pytest
import pandas._testing as tm
from pandas.core.ops.array_ops import (
comparison_op,
na_logical_op,
)
def test_na_logical_op_2d():
left = np.arange(8).reshape(4, 2)
right = left.astype(object)
right[0, 0] = np.nan
# Check that we fall back 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/tests/arithmetic/test_categorical.py | pandas/tests/arithmetic/test_categorical.py | import numpy as np
from pandas import (
Categorical,
Series,
)
import pandas._testing as tm
class TestCategoricalComparisons:
def test_categorical_nan_equality(self):
cat = Series(Categorical(["a", "b", "c", np.nan]))
expected = Series([True, True, True, False])
result = cat == ca... | 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/arithmetic/test_period.py | pandas/tests/arithmetic/test_period.py | # Arithmetic tests for DataFrame/Series/Index/Array classes that should
# behave identically.
# Specifically for Period dtype
import operator
import numpy as np
import pytest
from pandas._libs.tslibs import (
IncompatibleFrequency,
Period,
Timestamp,
to_offset,
)
import pandas as pd
from pandas impor... | 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/arrays/test_ndarray_backed.py | pandas/tests/arrays/test_ndarray_backed.py | """
Tests for subclasses of NDArrayBackedExtensionArray
"""
import numpy as np
from pandas import (
CategoricalIndex,
date_range,
)
from pandas.core.arrays import (
Categorical,
DatetimeArray,
NumpyExtensionArray,
TimedeltaArray,
)
class TestEmpty:
def test_empty_categorical(self):
... | python | BSD-3-Clause | 91514c363604506f447e53380d3aa00520f1037b | 2026-01-04T14:39:36.002480Z | false |
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