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/arrays/test_array.py | pandas/tests/arrays/test_array.py | import datetime
import decimal
import zoneinfo
import numpy as np
import pytest
from pandas._config import using_string_dtype
import pandas as pd
import pandas._testing as tm
from pandas.api.extensions import register_extension_dtype
from pandas.arrays import (
BooleanArray,
DatetimeArray,
FloatingArray,... | 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/arrays/masked_shared.py | pandas/tests/arrays/masked_shared.py | """
Tests shared by MaskedArray subclasses.
"""
import numpy as np
import pytest
import pandas as pd
import pandas._testing as tm
from pandas.tests.extension.base import BaseOpsUtil
class ComparisonOps(BaseOpsUtil):
def _compare_other(self, data, op, other):
# array
result = pd.Series(op(data, o... | 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/arrays/test_datetimes.py | pandas/tests/arrays/test_datetimes.py | """
Tests for DatetimeArray
"""
from __future__ import annotations
from datetime import timedelta
import operator
import numpy as np
import pytest
from pandas._libs.tslibs import tz_compare
from pandas.errors import Pandas4Warning
from pandas.core.dtypes.dtypes import DatetimeTZDtype
import pandas as pd
import 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/tests/arrays/test_timedeltas.py | pandas/tests/arrays/test_timedeltas.py | from datetime import timedelta
import numpy as np
import pytest
import pandas as pd
from pandas import Timedelta
import pandas._testing as tm
from pandas.core.arrays import (
DatetimeArray,
TimedeltaArray,
)
class TestNonNano:
@pytest.fixture(params=["s", "ms", "us"])
def unit(self, request):
... | 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/arrays/__init__.py | pandas/tests/arrays/__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/arrays/test_datetimelike.py | pandas/tests/arrays/test_datetimelike.py | from __future__ import annotations
import re
import warnings
import numpy as np
import pytest
from pandas._libs import (
NaT,
OutOfBoundsDatetime,
Timestamp,
)
from pandas._libs.tslibs import to_offset
from pandas.compat.numpy import np_version_gt2
from pandas.core.dtypes.dtypes import PeriodDtype
impo... | 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_period.py | pandas/tests/arrays/test_period.py | import numpy as np
import pytest
from pandas._libs.tslibs import iNaT
from pandas._libs.tslibs.period import IncompatibleFrequency
from pandas.core.dtypes.base import _registry as registry
from pandas.core.dtypes.dtypes import PeriodDtype
import pandas as pd
import pandas._testing as tm
from pandas.core.arrays 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/arrays/masked/test_indexing.py | pandas/tests/arrays/masked/test_indexing.py | import re
import numpy as np
import pytest
import pandas.util._test_decorators as td
import pandas as pd
class TestSetitemValidation:
def _check_setitem_invalid(self, arr, invalid):
msg = f"Invalid value '{invalid!s}' for dtype '{arr.dtype}'"
msg = re.escape(msg)
with pytest.raises(Type... | 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/arrays/masked/__init__.py | pandas/tests/arrays/masked/__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/arrays/masked/test_function.py | pandas/tests/arrays/masked/test_function.py | import numpy as np
import pytest
from pandas.core.dtypes.common import is_integer_dtype
import pandas as pd
import pandas._testing as tm
from pandas.core.arrays import BaseMaskedArray
arrays = [pd.array([1, 2, 3, None], dtype=dtype) for dtype in tm.ALL_INT_EA_DTYPES]
arrays += [
pd.array([0.141, -0.268, 5.895, 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/arrays/masked/test_arithmetic.py | pandas/tests/arrays/masked/test_arithmetic.py | from __future__ import annotations
from typing import Any
import numpy as np
import pytest
import pandas as pd
import pandas._testing as tm
# integer dtypes
arrays = [pd.array([1, 2, 3, None], dtype=dtype) for dtype in tm.ALL_INT_EA_DTYPES]
scalars: list[Any] = [2] * len(arrays)
# floating dtypes
arrays += [pd.arra... | 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/arrays/masked/test_arrow_compat.py | pandas/tests/arrays/masked/test_arrow_compat.py | import numpy as np
import pytest
import pandas as pd
import pandas._testing as tm
pytestmark = pytest.mark.filterwarnings(
"ignore:Passing a BlockManager to DataFrame:DeprecationWarning"
)
pa = pytest.importorskip("pyarrow")
from pandas.core.arrays.arrow._arrow_utils import pyarrow_array_to_numpy_and_mask
arr... | 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/arrays/period/test_reductions.py | pandas/tests/arrays/period/test_reductions.py | import pandas as pd
from pandas.core.arrays import period_array
class TestReductions:
def test_min_max(self):
arr = period_array(
[
"2000-01-03",
"2000-01-03",
"NaT",
"2000-01-02",
"2000-01-05",
"20... | 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/arrays/period/test_astype.py | pandas/tests/arrays/period/test_astype.py | import numpy as np
import pytest
from pandas.core.dtypes.dtypes import PeriodDtype
import pandas as pd
import pandas._testing as tm
from pandas.core.arrays import period_array
@pytest.mark.parametrize("dtype", [int, np.int32, np.int64, "uint32", "uint64"])
def test_astype_int(dtype):
# We choose to ignore the 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/arrays/period/test_constructors.py | pandas/tests/arrays/period/test_constructors.py | import numpy as np
import pytest
from pandas._libs.tslibs import iNaT
from pandas._libs.tslibs.offsets import MonthEnd
from pandas._libs.tslibs.period import IncompatibleFrequency
import pandas as pd
import pandas._testing as tm
from pandas.core.arrays import (
PeriodArray,
period_array,
)
@pytest.mark.para... | 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/arrays/period/__init__.py | pandas/tests/arrays/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/arrays/period/test_arrow_compat.py | pandas/tests/arrays/period/test_arrow_compat.py | import pytest
from pandas.core.dtypes.dtypes import PeriodDtype
import pandas as pd
import pandas._testing as tm
from pandas.core.arrays import (
PeriodArray,
period_array,
)
pytestmark = pytest.mark.filterwarnings(
"ignore:Passing a BlockManager to DataFrame:DeprecationWarning"
)
pa = pytest.importors... | 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/arrays/numpy_/test_indexing.py | pandas/tests/arrays/numpy_/test_indexing.py | import numpy as np
from pandas.core.dtypes.common import is_scalar
import pandas as pd
import pandas._testing as tm
class TestSearchsorted:
def test_searchsorted_string(self, string_dtype):
arr = pd.array(["a", "b", "c"], dtype=string_dtype)
result = arr.searchsorted("a", side="left")
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/tests/arrays/numpy_/test_numpy.py | pandas/tests/arrays/numpy_/test_numpy.py | """
Additional tests for NumpyExtensionArray that aren't covered by
the interface tests.
"""
import numpy as np
import pytest
from pandas.compat.numpy import np_version_gt2
from pandas.core.dtypes.dtypes import NumpyEADtype
import pandas as pd
import pandas._testing as tm
from pandas.arrays import NumpyExtensionArr... | 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/arrays/numpy_/__init__.py | pandas/tests/arrays/numpy_/__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/arrays/categorical/test_analytics.py | pandas/tests/arrays/categorical/test_analytics.py | import re
import sys
import numpy as np
import pytest
from pandas.compat import PYPY
from pandas import (
Categorical,
CategoricalDtype,
DataFrame,
Index,
NaT,
Series,
date_range,
)
import pandas._testing as tm
from pandas.api.types import is_scalar
class TestCategoricalAnalytics:
@... | 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/arrays/categorical/test_indexing.py | pandas/tests/arrays/categorical/test_indexing.py | import math
import numpy as np
import pytest
from pandas import (
NA,
Categorical,
CategoricalIndex,
Index,
Interval,
IntervalIndex,
NaT,
PeriodIndex,
Series,
Timedelta,
Timestamp,
)
import pandas._testing as tm
import pandas.core.common as com
class TestCategoricalIndexi... | 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/arrays/categorical/test_warnings.py | pandas/tests/arrays/categorical/test_warnings.py | import pytest
import pandas._testing as tm
class TestCategoricalWarnings:
def test_tab_complete_warning(self, ip):
# https://github.com/pandas-dev/pandas/issues/16409
pytest.importorskip("IPython", minversion="6.0.0")
from IPython.core.completer import provisionalcompleter
code =... | 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/arrays/categorical/test_take.py | pandas/tests/arrays/categorical/test_take.py | import numpy as np
import pytest
from pandas import Categorical
import pandas._testing as tm
@pytest.fixture(params=[True, False])
def allow_fill(request):
"""Boolean 'allow_fill' parameter for Categorical.take"""
return request.param
class TestTake:
# https://github.com/pandas-dev/pandas/issues/20664
... | 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/arrays/categorical/test_sorting.py | pandas/tests/arrays/categorical/test_sorting.py | import numpy as np
import pytest
from pandas import (
Categorical,
Index,
)
import pandas._testing as tm
class TestCategoricalSort:
def test_argsort(self):
c = Categorical([5, 3, 1, 4, 2], ordered=True)
expected = np.array([2, 4, 1, 3, 0])
tm.assert_numpy_array_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/tests/arrays/categorical/test_astype.py | pandas/tests/arrays/categorical/test_astype.py | import numpy as np
import pytest
from pandas.errors import Pandas4Warning
from pandas import (
NA,
Categorical,
CategoricalDtype,
CategoricalIndex,
DatetimeIndex,
Interval,
NaT,
Period,
Timestamp,
array,
to_datetime,
)
import pandas._testing as tm
class TestAstype:
@p... | 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/arrays/categorical/test_missing.py | pandas/tests/arrays/categorical/test_missing.py | import collections
import numpy as np
import pytest
from pandas.errors import Pandas4Warning
from pandas.core.dtypes.dtypes import CategoricalDtype
import pandas as pd
from pandas import (
Categorical,
Index,
Series,
isna,
)
import pandas._testing as tm
class TestCategoricalMissing:
def test_i... | 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/arrays/categorical/test_replace.py | pandas/tests/arrays/categorical/test_replace.py | import pytest
import pandas as pd
from pandas import Categorical
import pandas._testing as tm
@pytest.mark.parametrize(
"to_replace,value,expected",
[
# one-to-one
(4, 1, [1, 2, 3]),
(3, 1, [1, 2, 1]),
# many-to-one
((5, 6), 2, [1, 2, 3]),
((3, 2), 1, [1, 1, 1]... | 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/arrays/categorical/test_constructors.py | pandas/tests/arrays/categorical/test_constructors.py | from datetime import (
date,
datetime,
)
import numpy as np
import pytest
from pandas.errors import Pandas4Warning
from pandas.core.dtypes.common import (
is_float_dtype,
is_integer_dtype,
)
from pandas.core.dtypes.dtypes import CategoricalDtype
import pandas as pd
from pandas import (
Categoric... | 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/categorical/test_map.py | pandas/tests/arrays/categorical/test_map.py | import numpy as np
import pytest
import pandas as pd
from pandas import (
Categorical,
Index,
Series,
)
import pandas._testing as tm
@pytest.mark.parametrize(
"data, categories",
[
(list("abcbca"), list("cab")),
(pd.interval_range(0, 3).repeat(3), pd.interval_range(0, 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/arrays/categorical/test_algos.py | pandas/tests/arrays/categorical/test_algos.py | import numpy as np
import pytest
import pandas as pd
import pandas._testing as tm
@pytest.mark.parametrize("categories", [["b", "a", "c"], ["a", "b", "c", "d"]])
def test_factorize(categories, ordered):
cat = pd.Categorical(
["b", "b", "a", "c", None], categories=categories, ordered=ordered
)
cod... | 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/arrays/categorical/test_dtypes.py | pandas/tests/arrays/categorical/test_dtypes.py | import numpy as np
import pytest
from pandas.errors import Pandas4Warning
from pandas.core.dtypes.dtypes import CategoricalDtype
from pandas import (
Categorical,
CategoricalIndex,
Index,
IntervalIndex,
Series,
Timestamp,
)
import pandas._testing as tm
class TestCategoricalDtypes:
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/arrays/categorical/test_api.py | pandas/tests/arrays/categorical/test_api.py | import re
import numpy as np
import pytest
from pandas.errors import Pandas4Warning
from pandas import (
Categorical,
CategoricalIndex,
DataFrame,
Index,
Series,
StringDtype,
)
import pandas._testing as tm
from pandas.core.arrays.categorical import recode_for_categories
class TestCategorica... | 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/arrays/categorical/test_operators.py | pandas/tests/arrays/categorical/test_operators.py | import numpy as np
import pytest
import pandas as pd
from pandas import (
Categorical,
DataFrame,
Series,
Timestamp,
date_range,
)
import pandas._testing as tm
class TestCategoricalOpsWithFactor:
def test_categories_none_comparisons(self):
factor = Categorical(["a", "b", "b", "a", "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/tests/arrays/categorical/__init__.py | pandas/tests/arrays/categorical/__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/arrays/categorical/test_repr.py | pandas/tests/arrays/categorical/test_repr.py | import numpy as np
from pandas import (
Categorical,
CategoricalDtype,
CategoricalIndex,
Index,
Series,
date_range,
option_context,
period_range,
timedelta_range,
)
class TestCategoricalReprWithFactor:
def test_print(self, using_infer_string):
factor = Categorical(["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/tests/arrays/categorical/test_subclass.py | pandas/tests/arrays/categorical/test_subclass.py | from pandas import Categorical
import pandas._testing as tm
class SubclassedCategorical(Categorical):
pass
class TestCategoricalSubclassing:
def test_constructor(self):
sc = SubclassedCategorical(["a", "b", "c"])
assert isinstance(sc, SubclassedCategorical)
tm.assert_categorical_equa... | 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/arrays/timedeltas/test_reductions.py | pandas/tests/arrays/timedeltas/test_reductions.py | import numpy as np
import pytest
import pandas as pd
from pandas import Timedelta
import pandas._testing as tm
from pandas.core import nanops
from pandas.core.arrays import TimedeltaArray
class TestReductions:
@pytest.mark.parametrize("name", ["std", "min", "max", "median", "mean"])
def test_reductions_empty... | 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/arrays/timedeltas/test_constructors.py | pandas/tests/arrays/timedeltas/test_constructors.py | import numpy as np
import pytest
from pandas.core.arrays import TimedeltaArray
class TestTimedeltaArrayConstructor:
def test_other_type_raises(self):
msg = r"dtype bool cannot be converted to timedelta64\[ns\]"
with pytest.raises(TypeError, match=msg):
TimedeltaArray._from_sequence(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/arrays/timedeltas/test_cumulative.py | pandas/tests/arrays/timedeltas/test_cumulative.py | import pytest
import pandas._testing as tm
from pandas.core.arrays import TimedeltaArray
class TestAccumulator:
def test_accumulators_disallowed(self):
# GH#50297
arr = TimedeltaArray._from_sequence(["1D", "2D"], dtype="m8[ns]")
with pytest.raises(TypeError, match="cumprod not supported")... | 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/arrays/timedeltas/__init__.py | pandas/tests/arrays/timedeltas/__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/arrays/integer/test_indexing.py | pandas/tests/arrays/integer/test_indexing.py | import pandas as pd
import pandas._testing as tm
def test_array_setitem_nullable_boolean_mask():
# GH 31446
ser = pd.Series([1, 2], dtype="Int64")
result = ser.where(ser > 1)
expected = pd.Series([pd.NA, 2], dtype="Int64")
tm.assert_series_equal(result, expected)
def test_array_setitem():
# ... | 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/arrays/integer/test_concat.py | pandas/tests/arrays/integer/test_concat.py | import numpy as np
import pytest
import pandas as pd
import pandas._testing as tm
@pytest.mark.parametrize(
"to_concat_dtypes, result_dtype",
[
(["Int64", "Int64"], "Int64"),
(["UInt64", "UInt64"], "UInt64"),
(["Int8", "Int8"], "Int8"),
(["Int8", "Int16"], "Int16"),
([... | 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/arrays/integer/test_reduction.py | pandas/tests/arrays/integer/test_reduction.py | import numpy as np
import pytest
import pandas as pd
from pandas import (
DataFrame,
Series,
array,
)
import pandas._testing as tm
@pytest.mark.parametrize(
"op, expected",
[
["sum", np.int64(3)],
["prod", np.int64(2)],
["min", np.int64(1)],
["max", np.int64(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/arrays/integer/conftest.py | pandas/tests/arrays/integer/conftest.py | import pytest
import pandas as pd
from pandas.core.arrays.integer import (
Int8Dtype,
Int16Dtype,
Int32Dtype,
Int64Dtype,
UInt8Dtype,
UInt16Dtype,
UInt32Dtype,
UInt64Dtype,
)
@pytest.fixture(
params=[
Int8Dtype,
Int16Dtype,
Int32Dtype,
Int64Dtype,
... | 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/arrays/integer/test_comparison.py | pandas/tests/arrays/integer/test_comparison.py | import pytest
import pandas as pd
import pandas._testing as tm
from pandas.tests.arrays.masked_shared import (
ComparisonOps,
NumericOps,
)
class TestComparisonOps(NumericOps, ComparisonOps):
@pytest.mark.parametrize("other", [True, False, pd.NA, -1, 0, 1])
def test_scalar(self, other, comparison_op,... | 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/arrays/integer/test_dtypes.py | pandas/tests/arrays/integer/test_dtypes.py | import numpy as np
import pytest
from pandas.core.dtypes.generic import ABCIndex
import pandas as pd
import pandas._testing as tm
from pandas.core.arrays.integer import (
Int8Dtype,
UInt32Dtype,
)
def test_dtypes(dtype):
# smoke tests on auto dtype construction
if dtype.is_signed_integer:
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/tests/arrays/integer/test_construction.py | pandas/tests/arrays/integer/test_construction.py | import numpy as np
import pytest
import pandas as pd
import pandas._testing as tm
from pandas.api.types import is_integer
from pandas.core.arrays import IntegerArray
from pandas.core.arrays.integer import (
Int8Dtype,
Int32Dtype,
Int64Dtype,
)
@pytest.fixture(params=[pd.array, IntegerArray._from_sequence... | 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/arrays/integer/__init__.py | pandas/tests/arrays/integer/__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/arrays/integer/test_repr.py | pandas/tests/arrays/integer/test_repr.py | import numpy as np
import pytest
import pandas as pd
from pandas.core.arrays.integer import (
Int8Dtype,
Int16Dtype,
Int32Dtype,
Int64Dtype,
UInt8Dtype,
UInt16Dtype,
UInt32Dtype,
UInt64Dtype,
)
def test_dtypes(dtype):
# smoke tests on auto dtype construction
if dtype.is_signe... | 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/arrays/integer/test_function.py | pandas/tests/arrays/integer/test_function.py | import numpy as np
import pytest
import pandas as pd
import pandas._testing as tm
from pandas.core.arrays import FloatingArray
@pytest.mark.parametrize("ufunc", [np.abs, np.sign])
# np.sign emits a warning with nans, <https://github.com/numpy/numpy/issues/15127>
@pytest.mark.filterwarnings("ignore:invalid value enco... | 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/arrays/integer/test_arithmetic.py | pandas/tests/arrays/integer/test_arithmetic.py | import operator
import numpy as np
import pytest
import pandas as pd
import pandas._testing as tm
from pandas.core import ops
from pandas.core.arrays import FloatingArray
# Basic test for the arithmetic array ops
# -----------------------------------------------------------------------------
@pytest.mark.parametri... | 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/arrays/sparse/test_libsparse.py | pandas/tests/arrays/sparse/test_libsparse.py | import operator
import numpy as np
import pytest
import pandas._libs.sparse as splib
import pandas.util._test_decorators as td
from pandas import Series
import pandas._testing as tm
from pandas.core.arrays.sparse import (
BlockIndex,
IntIndex,
make_sparse_index,
)
@pytest.fixture
def test_length():
... | 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/arrays/sparse/test_indexing.py | pandas/tests/arrays/sparse/test_indexing.py | import numpy as np
import pytest
import pandas as pd
from pandas import SparseDtype
import pandas._testing as tm
from pandas.core.arrays.sparse import SparseArray
@pytest.fixture
def arr_data():
return np.array([np.nan, np.nan, 1, 2, 3, np.nan, 4, 5, np.nan, 6])
@pytest.fixture
def arr(arr_data):
return Sp... | 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/arrays/sparse/test_reductions.py | pandas/tests/arrays/sparse/test_reductions.py | import numpy as np
import pytest
from pandas import (
NaT,
SparseDtype,
Timestamp,
isna,
)
from pandas.core.arrays.sparse import SparseArray
class TestReductions:
@pytest.mark.parametrize(
"data,pos,neg",
[
([True, True, True], True, False),
([1, 2, 1], 1, ... | 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/arrays/sparse/test_combine_concat.py | pandas/tests/arrays/sparse/test_combine_concat.py | import numpy as np
import pytest
import pandas as pd
import pandas._testing as tm
from pandas.core.arrays.sparse import SparseArray
class TestSparseArrayConcat:
@pytest.mark.parametrize("kind", ["integer", "block"])
def test_basic(self, kind):
a = SparseArray([1, 0, 0, 2], kind=kind)
b = Spar... | 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/arrays/sparse/test_astype.py | pandas/tests/arrays/sparse/test_astype.py | import numpy as np
import pytest
from pandas._libs.sparse import IntIndex
from pandas import (
SparseDtype,
Timestamp,
)
import pandas._testing as tm
from pandas.core.arrays.sparse import SparseArray
class TestAstype:
def test_astype(self):
# float -> float
arr = SparseArray([None, None,... | 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/arrays/sparse/test_array.py | pandas/tests/arrays/sparse/test_array.py | import re
import numpy as np
import pytest
from pandas._libs.sparse import IntIndex
from pandas.compat.numpy import np_version_gt2
import pandas as pd
from pandas import (
SparseDtype,
isna,
)
import pandas._testing as tm
from pandas.core.arrays.sparse import SparseArray
@pytest.fixture
def arr_data():
... | 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/arrays/sparse/test_constructors.py | pandas/tests/arrays/sparse/test_constructors.py | import numpy as np
import pytest
from pandas._libs.sparse import IntIndex
import pandas as pd
from pandas import (
SparseDtype,
isna,
)
import pandas._testing as tm
from pandas.core.arrays.sparse import SparseArray
class TestConstructors:
def test_constructor_dtype(self):
arr = SparseArray([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/arrays/sparse/test_dtype.py | pandas/tests/arrays/sparse/test_dtype.py | import re
import warnings
import numpy as np
import pytest
import pandas as pd
from pandas import SparseDtype
@pytest.mark.parametrize(
"dtype, fill_value",
[
("int", 0),
("float", np.nan),
("bool", False),
("object", np.nan),
("datetime64[ns]", np.datetime64("NaT", "... | 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/arrays/sparse/test_arithmetics.py | pandas/tests/arrays/sparse/test_arithmetics.py | import operator
import numpy as np
import pytest
import pandas as pd
from pandas import SparseDtype
import pandas._testing as tm
from pandas.core.arrays.sparse import SparseArray
@pytest.fixture(params=["integer", "block"])
def kind(request):
"""kind kwarg to pass to SparseArray"""
return request.param
@p... | 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/arrays/sparse/test_accessor.py | pandas/tests/arrays/sparse/test_accessor.py | import string
import numpy as np
import pytest
import pandas as pd
from pandas import SparseDtype
import pandas._testing as tm
from pandas.core.arrays.sparse import SparseArray
class TestSeriesAccessor:
def test_to_dense(self):
ser = pd.Series([0, 1, 0, 10], dtype="Sparse[int64]")
result = ser.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/arrays/sparse/__init__.py | pandas/tests/arrays/sparse/__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/arrays/sparse/test_unary.py | pandas/tests/arrays/sparse/test_unary.py | import operator
import numpy as np
import pytest
import pandas as pd
import pandas._testing as tm
from pandas.core.arrays import SparseArray
@pytest.mark.filterwarnings("ignore:invalid value encountered in cast:RuntimeWarning")
@pytest.mark.parametrize("fill_value", [0, np.nan])
@pytest.mark.parametrize("op", [oper... | 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/arrays/boolean/test_indexing.py | pandas/tests/arrays/boolean/test_indexing.py | import numpy as np
import pytest
import pandas as pd
import pandas._testing as tm
@pytest.mark.parametrize("na", [None, np.nan, pd.NA])
def test_setitem_missing_values(na):
arr = pd.array([True, False, None], dtype="boolean")
expected = pd.array([True, None, None], dtype="boolean")
arr[1] = na
tm.ass... | 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/arrays/boolean/test_astype.py | pandas/tests/arrays/boolean/test_astype.py | import numpy as np
import pytest
import pandas as pd
import pandas._testing as tm
def test_astype(using_infer_string):
# with missing values
arr = pd.array([True, False, None], dtype="boolean")
with pytest.raises(ValueError, match="cannot convert NA to integer"):
arr.astype("int64")
with 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/arrays/boolean/test_reduction.py | pandas/tests/arrays/boolean/test_reduction.py | import numpy as np
import pytest
import pandas as pd
@pytest.fixture
def data():
"""Fixture returning boolean array, with valid and missing values."""
return pd.array(
[True, False] * 2 + [np.nan] + [True, False] + [np.nan] + [True, False],
dtype="boolean",
)
@pytest.mark.parametrize(
... | 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/arrays/boolean/test_comparison.py | pandas/tests/arrays/boolean/test_comparison.py | import numpy as np
import pytest
import pandas as pd
import pandas._testing as tm
from pandas.arrays import BooleanArray
from pandas.tests.arrays.masked_shared import ComparisonOps
@pytest.fixture
def data():
"""Fixture returning boolean array with valid and missing data"""
return pd.array(
[True, Fa... | 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/arrays/boolean/test_construction.py | pandas/tests/arrays/boolean/test_construction.py | import numpy as np
import pytest
import pandas as pd
import pandas._testing as tm
from pandas.arrays import BooleanArray
from pandas.core.arrays.boolean import coerce_to_array
def test_boolean_array_constructor():
values = np.array([True, False, True, False], dtype="bool")
mask = np.array([False, False, Fals... | 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/arrays/boolean/test_ops.py | pandas/tests/arrays/boolean/test_ops.py | import pandas as pd
import pandas._testing as tm
class TestUnaryOps:
def test_invert(self):
a = pd.array([True, False, None], dtype="boolean")
expected = pd.array([False, True, None], dtype="boolean")
tm.assert_extension_array_equal(~a, expected)
expected = pd.Series(expected, 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/arrays/boolean/test_logical.py | pandas/tests/arrays/boolean/test_logical.py | import operator
import numpy as np
import pytest
import pandas as pd
import pandas._testing as tm
from pandas.arrays import BooleanArray
from pandas.core.ops.mask_ops import (
kleene_and,
kleene_or,
kleene_xor,
)
from pandas.tests.extension.base import BaseOpsUtil
class TestLogicalOps(BaseOpsUtil):
... | 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/arrays/boolean/__init__.py | pandas/tests/arrays/boolean/__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/arrays/boolean/test_repr.py | pandas/tests/arrays/boolean/test_repr.py | import pandas as pd
def test_repr():
df = pd.DataFrame({"A": pd.array([True, False, None], dtype="boolean")})
expected = " A\n0 True\n1 False\n2 <NA>"
assert repr(df) == expected
expected = "0 True\n1 False\n2 <NA>\nName: A, dtype: boolean"
assert repr(df.A) == 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/arrays/boolean/test_function.py | pandas/tests/arrays/boolean/test_function.py | import numpy as np
import pytest
import pandas as pd
import pandas._testing as tm
@pytest.mark.parametrize(
"ufunc", [np.add, np.logical_or, np.logical_and, np.logical_xor]
)
def test_ufuncs_binary(ufunc):
# two BooleanArrays
a = pd.array([True, False, None], dtype="boolean")
result = ufunc(a, 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/tests/arrays/boolean/test_arithmetic.py | pandas/tests/arrays/boolean/test_arithmetic.py | import operator
import numpy as np
import pytest
import pandas as pd
import pandas._testing as tm
@pytest.fixture
def data():
"""Fixture returning boolean array with valid and missing values."""
return pd.array(
[True, False] * 2 + [np.nan] + [True, False] + [np.nan] + [True, False],
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/arrays/interval/test_interval.py | pandas/tests/arrays/interval/test_interval.py | import numpy as np
import pytest
import pandas as pd
from pandas import (
Index,
Interval,
IntervalIndex,
Timedelta,
Timestamp,
date_range,
timedelta_range,
)
import pandas._testing as tm
from pandas.core.arrays import IntervalArray
@pytest.fixture(
params=[
(Index([0, 2, 4]),... | 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/arrays/interval/test_astype.py | pandas/tests/arrays/interval/test_astype.py | import pytest
from pandas import (
Categorical,
CategoricalDtype,
Index,
IntervalIndex,
)
import pandas._testing as tm
class TestAstype:
@pytest.mark.parametrize("ordered", [True, False])
def test_astype_categorical_retains_ordered(self, ordered):
index = IntervalIndex.from_breaks(ran... | 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/arrays/interval/test_overlaps.py | pandas/tests/arrays/interval/test_overlaps.py | """Tests for Interval-Interval operations, such as overlaps, contains, etc."""
import numpy as np
import pytest
from pandas import (
Interval,
IntervalIndex,
Timedelta,
Timestamp,
)
import pandas._testing as tm
from pandas.core.arrays import IntervalArray
@pytest.fixture(params=[IntervalArray, Inter... | 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/arrays/interval/test_interval_pyarrow.py | pandas/tests/arrays/interval/test_interval_pyarrow.py | import numpy as np
import pytest
import pandas as pd
import pandas._testing as tm
from pandas.core.arrays import IntervalArray
def test_arrow_extension_type():
pa = pytest.importorskip("pyarrow")
from pandas.core.arrays.arrow.extension_types import ArrowIntervalType
p1 = ArrowIntervalType(pa.int64(), "... | 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/arrays/interval/test_formats.py | pandas/tests/arrays/interval/test_formats.py | from pandas.core.arrays import IntervalArray
def test_repr():
# GH#25022
arr = IntervalArray.from_tuples([(0, 1), (1, 2)])
result = repr(arr)
expected = (
"<IntervalArray>\n[(0, 1], (1, 2]]\nLength: 2, dtype: interval[int64, right]"
)
assert result == 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/arrays/interval/__init__.py | pandas/tests/arrays/interval/__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/arrays/floating/test_concat.py | pandas/tests/arrays/floating/test_concat.py | import pytest
import pandas as pd
import pandas._testing as tm
@pytest.mark.parametrize(
"to_concat_dtypes, result_dtype",
[
(["Float64", "Float64"], "Float64"),
(["Float32", "Float64"], "Float64"),
(["Float32", "Float32"], "Float32"),
],
)
def test_concat_series(to_concat_dtypes,... | 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/arrays/floating/test_astype.py | pandas/tests/arrays/floating/test_astype.py | import numpy as np
import pytest
import pandas as pd
import pandas._testing as tm
def test_astype():
# with missing values
arr = pd.array([0.1, 0.2, None], dtype="Float64")
with pytest.raises(ValueError, match="cannot convert NA to integer"):
arr.astype("int64")
with pytest.raises(ValueErro... | 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/arrays/floating/test_to_numpy.py | pandas/tests/arrays/floating/test_to_numpy.py | import numpy as np
import pytest
from pandas.compat.numpy import np_version_gt2
import pandas as pd
import pandas._testing as tm
from pandas.core.arrays import FloatingArray
@pytest.mark.parametrize("box", [True, False], ids=["series", "array"])
def test_to_numpy(box, using_nan_is_na):
con = pd.Series if box el... | 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/arrays/floating/conftest.py | pandas/tests/arrays/floating/conftest.py | import pytest
import pandas as pd
from pandas.core.arrays.floating import (
Float32Dtype,
Float64Dtype,
)
@pytest.fixture(params=[Float32Dtype, Float64Dtype])
def dtype(request):
"""Parametrized fixture returning a float 'dtype'"""
return request.param()
@pytest.fixture
def data(dtype):
"""Fixt... | 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/arrays/floating/test_comparison.py | pandas/tests/arrays/floating/test_comparison.py | import numpy as np
import pytest
import pandas as pd
import pandas._testing as tm
from pandas.core.arrays import FloatingArray
from pandas.tests.arrays.masked_shared import (
ComparisonOps,
NumericOps,
)
class TestComparisonOps(NumericOps, ComparisonOps):
@pytest.mark.parametrize("other", [True, False, p... | 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/arrays/floating/test_construction.py | pandas/tests/arrays/floating/test_construction.py | import numpy as np
import pytest
import pandas as pd
import pandas._testing as tm
from pandas.core.arrays import FloatingArray
from pandas.core.arrays.floating import (
Float32Dtype,
Float64Dtype,
)
def test_uses_pandas_na():
a = pd.array([1, None], dtype=Float64Dtype())
assert a[1] is pd.NA
def te... | 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/arrays/floating/__init__.py | pandas/tests/arrays/floating/__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/arrays/floating/test_repr.py | pandas/tests/arrays/floating/test_repr.py | import numpy as np
import pytest
import pandas as pd
from pandas.core.arrays.floating import (
Float32Dtype,
Float64Dtype,
)
def test_dtypes(dtype):
# smoke tests on auto dtype construction
np.dtype(dtype.type).kind == "f"
assert dtype.name is not None
@pytest.mark.parametrize(
"dtype, exp... | 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/arrays/floating/test_function.py | pandas/tests/arrays/floating/test_function.py | import numpy as np
import pytest
from pandas.compat import IS64
import pandas as pd
import pandas._testing as tm
@pytest.mark.parametrize("ufunc", [np.abs, np.sign])
# np.sign emits a warning with nans, <https://github.com/numpy/numpy/issues/15127>
@pytest.mark.filterwarnings("ignore:invalid value encountered in si... | 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/arrays/floating/test_arithmetic.py | pandas/tests/arrays/floating/test_arithmetic.py | import operator
import numpy as np
import pytest
import pandas as pd
import pandas._testing as tm
from pandas.core.arrays import FloatingArray
# Basic test for the arithmetic array ops
# -----------------------------------------------------------------------------
@pytest.mark.parametrize(
"opname, exp",
[... | 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/arrays/floating/test_contains.py | pandas/tests/arrays/floating/test_contains.py | import numpy as np
import pandas as pd
def test_contains_nan(using_nan_is_na):
# GH#52840
arr = pd.array(range(5)) / 0
assert np.isnan(arr._data[0])
if using_nan_is_na:
assert arr.isna()[0]
else:
assert not arr.isna()[0]
assert np.nan in arr
| 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/arrays/string_/test_string.py | pandas/tests/arrays/string_/test_string.py | """
This module tests the functionality of StringArray and ArrowStringArray.
Tests for the str accessors are in pandas/tests/strings/test_string_array.py
"""
import numpy as np
import pytest
from pandas._config import using_string_dtype
from pandas.compat.pyarrow import pa_version_under19p0
from pandas.core.dtypes.... | 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/arrays/string_/test_string_arrow.py | pandas/tests/arrays/string_/test_string_arrow.py | import pickle
import re
import numpy as np
import pytest
from pandas.compat import HAS_PYARROW
import pandas.util._test_decorators as td
import pandas as pd
import pandas._testing as tm
from pandas.core.arrays.string_ import (
StringArray,
StringDtype,
)
from pandas.core.arrays.string_arrow import (
Arro... | 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/arrays/string_/test_concat.py | pandas/tests/arrays/string_/test_concat.py | import numpy as np
import pytest
from pandas.compat import HAS_PYARROW
from pandas.core.dtypes.cast import find_common_type
import pandas as pd
import pandas._testing as tm
from pandas.util.version import Version
@pytest.mark.parametrize(
"to_concat_dtypes, result_dtype",
[
# same types
([(... | 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/arrays/string_/__init__.py | pandas/tests/arrays/string_/__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/arrays/datetimes/test_reductions.py | pandas/tests/arrays/datetimes/test_reductions.py | import numpy as np
import pytest
from pandas.core.dtypes.dtypes import DatetimeTZDtype
import pandas as pd
from pandas import NaT
import pandas._testing as tm
from pandas.core.arrays import DatetimeArray
class TestReductions:
@pytest.fixture
def arr1d(self, tz_naive_fixture):
"""Fixture returning Da... | 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/arrays/datetimes/test_constructors.py | pandas/tests/arrays/datetimes/test_constructors.py | import numpy as np
import pytest
from pandas._libs import iNaT
from pandas.core.dtypes.dtypes import DatetimeTZDtype
import pandas as pd
import pandas._testing as tm
from pandas.core.arrays import DatetimeArray
class TestDatetimeArrayConstructor:
def test_from_sequence_invalid_type(self):
mi = pd.Multi... | 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/arrays/datetimes/test_cumulative.py | pandas/tests/arrays/datetimes/test_cumulative.py | import pytest
import pandas._testing as tm
from pandas.core.arrays import DatetimeArray
class TestAccumulator:
def test_accumulators_freq(self):
# GH#50297
arr = DatetimeArray._from_sequence(
[
"2000-01-01",
"2000-01-02",
"2000-01-03",
... | 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/arrays/datetimes/__init__.py | pandas/tests/arrays/datetimes/__init__.py | python | BSD-3-Clause | 91514c363604506f447e53380d3aa00520f1037b | 2026-01-04T14:39:36.002480Z | false |
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