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/tools/test_to_time.py | pandas/tests/tools/test_to_time.py | from datetime import time
import locale
import numpy as np
import pytest
from pandas import Series
import pandas._testing as tm
from pandas.core.tools.times import to_time
# The tests marked with this are locale-dependent.
# They pass, except when the machine locale is zh_CN or it_IT.
fails_on_non_english = pytest.m... | 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/tools/__init__.py | pandas/tests/tools/__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/tools/test_to_numeric.py | pandas/tests/tools/test_to_numeric.py | import decimal
import numpy as np
from numpy import iinfo
import pytest
import pandas.util._test_decorators as td
import pandas as pd
from pandas import (
ArrowDtype,
DataFrame,
Index,
Series,
option_context,
to_numeric,
)
import pandas._testing as tm
@pytest.fixture(params=[None, "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/generic/test_series.py | pandas/tests/generic/test_series.py | from operator import methodcaller
import numpy as np
import pytest
import pandas as pd
from pandas import (
MultiIndex,
Series,
date_range,
)
import pandas._testing as tm
class TestSeries:
@pytest.mark.parametrize("func", ["rename_axis", "_set_axis_name"])
def test_set_axis_name_mi(self, func):
... | 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/generic/test_duplicate_labels.py | pandas/tests/generic/test_duplicate_labels.py | """Tests dealing with the NDFrame.allows_duplicates."""
import operator
import numpy as np
import pytest
import pandas as pd
import pandas._testing as tm
not_implemented = pytest.mark.xfail(reason="Not implemented.")
# ----------------------------------------------------------------------------
# Preservation
cl... | 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/generic/test_finalize.py | pandas/tests/generic/test_finalize.py | """
An exhaustive list of pandas methods exercising NDFrame.__finalize__.
"""
from copy import deepcopy
from datetime import time
import operator
import re
import numpy as np
import pytest
from pandas._typing import MergeHow
import pandas as pd
# TODO:
# * Binary methods (mul, div, etc.)
# * Binary outputs (align,... | 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/generic/test_frame.py | pandas/tests/generic/test_frame.py | from copy import deepcopy
from operator import methodcaller
from typing import Literal
import numpy as np
import pytest
import pandas as pd
from pandas import (
DataFrame,
MultiIndex,
Series,
date_range,
)
import pandas._testing as tm
class TestDataFrame:
@pytest.mark.parametrize("func", ["_set_... | 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/generic/test_label_or_level_utils.py | pandas/tests/generic/test_label_or_level_utils.py | import pytest
from pandas.core.dtypes.missing import array_equivalent
import pandas as pd
# Fixtures
# ========
@pytest.fixture
def df():
"""DataFrame with columns 'L1', 'L2', and 'L3'"""
return pd.DataFrame({"L1": [1, 2, 3], "L2": [11, 12, 13], "L3": ["A", "B", "C"]})
@pytest.fixture(params=[[], ["L1"], ... | 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/generic/test_to_xarray.py | pandas/tests/generic/test_to_xarray.py | import numpy as np
import pytest
from pandas import (
Categorical,
DataFrame,
MultiIndex,
Series,
date_range,
)
import pandas._testing as tm
from pandas.util.version import Version
xarray = pytest.importorskip("xarray")
if xarray is not None and Version(xarray.__version__) < Version("2025.1.0"):
... | 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/generic/__init__.py | pandas/tests/generic/__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/generic/test_generic.py | pandas/tests/generic/test_generic.py | from copy import (
copy,
deepcopy,
)
import numpy as np
import pytest
from pandas.core.dtypes.common import is_scalar
from pandas import (
DataFrame,
Index,
Series,
date_range,
)
import pandas._testing as tm
# ----------------------------------------------------------------------
# Generic 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/groupby/test_groupby_subclass.py | pandas/tests/groupby/test_groupby_subclass.py | from datetime import datetime
import numpy as np
import pytest
from pandas.errors import Pandas4Warning
from pandas import (
DataFrame,
Index,
Series,
)
import pandas._testing as tm
from pandas.tests.groupby import get_groupby_method_args
pytestmark = pytest.mark.filterwarnings(
"ignore:Passing a Bl... | 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/groupby/test_apply.py | pandas/tests/groupby/test_apply.py | from datetime import (
date,
datetime,
)
import numpy as np
import pytest
from pandas.errors import Pandas4Warning
import pandas as pd
from pandas import (
DataFrame,
Index,
MultiIndex,
Series,
bdate_range,
)
import pandas._testing as tm
from pandas.tests.groupby import get_groupby_method... | 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/groupby/test_indexing.py | pandas/tests/groupby/test_indexing.py | # Test GroupBy._positional_selector positional grouped indexing GH#42864
import numpy as np
import pytest
import pandas as pd
import pandas._testing as tm
@pytest.mark.parametrize(
"arg, expected_rows",
[
[0, [0, 1, 4]],
[2, [5]],
[5, []],
[-1, [3, 4, 7]],
[-2, [1, 6]... | 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/groupby/test_timegrouper.py | pandas/tests/groupby/test_timegrouper.py | """
test with the TimeGrouper / grouping with datetimes
"""
from datetime import (
datetime,
timedelta,
timezone,
)
import numpy as np
import pytest
import pandas.util._test_decorators as td
import pandas as pd
from pandas import (
DataFrame,
DatetimeIndex,
Index,
MultiIndex,
Series,... | 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/groupby/test_raises.py | pandas/tests/groupby/test_raises.py | # Only tests that raise an error and have no better location should go here.
# Tests for specific groupby methods should go in their respective
# test file.
import datetime
import re
import numpy as np
import pytest
from pandas.errors import Pandas4Warning
from pandas import (
Categorical,
DataFrame,
Gr... | 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/groupby/test_reductions.py | pandas/tests/groupby/test_reductions.py | import builtins
import datetime as dt
from string import ascii_lowercase
import numpy as np
import pytest
from pandas._libs.tslibs import iNaT
from pandas.core.dtypes.common import pandas_dtype
from pandas.core.dtypes.missing import na_value_for_dtype
import pandas as pd
from pandas import (
DataFrame,
Mult... | 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/groupby/test_missing.py | pandas/tests/groupby/test_missing.py | import numpy as np
import pytest
import pandas as pd
from pandas import (
DataFrame,
Index,
)
import pandas._testing as tm
@pytest.mark.parametrize("func", ["ffill", "bfill"])
def test_groupby_column_index_name_lost_fill_funcs(func):
# GH: 29764 groupby loses index sometimes
df = DataFrame(
[... | python | BSD-3-Clause | 91514c363604506f447e53380d3aa00520f1037b | 2026-01-04T14:39:36.002480Z | false |
pandas-dev/pandas | https://github.com/pandas-dev/pandas/blob/91514c363604506f447e53380d3aa00520f1037b/pandas/tests/groupby/test_pipe.py | pandas/tests/groupby/test_pipe.py | import numpy as np
import pandas as pd
from pandas import (
DataFrame,
Index,
)
import pandas._testing as tm
def test_pipe():
# Test the pipe method of DataFrameGroupBy.
# Issue #17871
random_state = np.random.default_rng(2)
df = DataFrame(
{
"A": ["foo", "bar", "foo", "... | 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/groupby/test_index_as_string.py | pandas/tests/groupby/test_index_as_string.py | import numpy as np
import pytest
import pandas as pd
import pandas._testing as tm
@pytest.mark.parametrize(
"key_strs,groupers",
[
("inner", pd.Grouper(level="inner")), # Index name
(["inner"], [pd.Grouper(level="inner")]), # List of index name
(["B", "inner"], ["B", pd.Grouper(leve... | 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/groupby/test_groupby.py | pandas/tests/groupby/test_groupby.py | from datetime import datetime
import decimal
from decimal import Decimal
import re
import numpy as np
import pytest
from pandas.errors import SpecificationError
import pandas.util._test_decorators as td
import pandas as pd
from pandas import (
Categorical,
DataFrame,
Grouper,
Index,
Interval,
... | 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/groupby/conftest.py | pandas/tests/groupby/conftest.py | import numpy as np
import pytest
from pandas import (
DataFrame,
Index,
Series,
date_range,
)
from pandas.core.groupby.base import (
reduction_kernels,
transformation_kernels,
)
@pytest.fixture
def df():
return DataFrame(
{
"A": ["foo", "bar", "foo", "bar", "foo", "bar... | 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/groupby/test_cumulative.py | pandas/tests/groupby/test_cumulative.py | import numpy as np
import pytest
from pandas.errors import UnsupportedFunctionCall
import pandas.util._test_decorators as td
import pandas as pd
from pandas import (
DataFrame,
Series,
)
import pandas._testing as tm
@pytest.fixture(
params=[np.int32, np.int64, np.float32, np.float64, "Int64", "Float64"]... | 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/groupby/test_api.py | pandas/tests/groupby/test_api.py | """
Tests of the groupby API, including internal consistency and with other pandas objects.
Tests in this file should only check the existence, names, and arguments of groupby
methods. It should not test the results of any groupby operation.
"""
import inspect
import pytest
from pandas import (
DataFrame,
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/groupby/test_bin_groupby.py | pandas/tests/groupby/test_bin_groupby.py | import numpy as np
import pytest
from pandas._libs import lib
import pandas as pd
import pandas._testing as tm
def assert_block_lengths(x):
assert len(x) == len(x._mgr.blocks[0].mgr_locs)
return 0
def cumsum_max(x):
x.cumsum().max()
return 0
@pytest.mark.parametrize(
"func",
[
cu... | 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/groupby/__init__.py | pandas/tests/groupby/__init__.py | def get_groupby_method_args(name, obj):
"""
Get required arguments for a groupby method.
When parametrizing a test over groupby methods (e.g. "sum", "mean"),
it is often the case that arguments are required for certain methods.
Parameters
----------
name: str
Name of the method.
... | 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/groupby/test_counting.py | pandas/tests/groupby/test_counting.py | from itertools import product
from string import ascii_lowercase
import numpy as np
import pytest
from pandas import (
DataFrame,
Index,
MultiIndex,
Period,
Series,
Timedelta,
Timestamp,
date_range,
)
import pandas._testing as tm
class TestCounting:
def test_cumcount(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/groupby/test_filters.py | pandas/tests/groupby/test_filters.py | from string import ascii_lowercase
import numpy as np
import pytest
import pandas as pd
from pandas import (
DataFrame,
Series,
Timestamp,
)
import pandas._testing as tm
def test_filter_series():
s = Series([1, 3, 20, 5, 22, 24, 7])
expected_odd = Series([1, 3, 5, 7], index=[0, 1, 3, 6])
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/groupby/test_grouping.py | pandas/tests/groupby/test_grouping.py | """
test where we are determining what we are grouping, or getting groups
"""
from datetime import (
date,
timedelta,
)
import numpy as np
import pytest
from pandas.errors import (
Pandas4Warning,
SpecificationError,
)
import pandas as pd
from pandas import (
CategoricalIndex,
DataFrame,
... | 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/groupby/test_categorical.py | pandas/tests/groupby/test_categorical.py | from datetime import datetime
import numpy as np
import pytest
from pandas.errors import Pandas4Warning
import pandas as pd
from pandas import (
Categorical,
CategoricalIndex,
DataFrame,
Index,
MultiIndex,
Series,
qcut,
)
import pandas._testing as tm
from pandas.api.typing import SeriesGr... | 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/groupby/test_all_methods.py | pandas/tests/groupby/test_all_methods.py | """
Tests that apply to all groupby operation methods.
The only tests that should appear here are those that use the `groupby_func` fixture.
Even if it does use that fixture, prefer a more specific test file if it available
such as:
- test_categorical
- test_groupby_dropna
- test_groupby_subclass
- test_raises
""... | 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/groupby/test_groupby_dropna.py | pandas/tests/groupby/test_groupby_dropna.py | import numpy as np
import pytest
from pandas.errors import Pandas4Warning
import pandas.util._test_decorators as td
from pandas.core.dtypes.missing import na_value_for_dtype
import pandas as pd
import pandas._testing as tm
from pandas.tests.groupby import get_groupby_method_args
@pytest.mark.parametrize(
"drop... | 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/groupby/test_numeric_only.py | pandas/tests/groupby/test_numeric_only.py | import re
import pytest
from pandas._libs import lib
from pandas.errors import Pandas4Warning
import pandas as pd
from pandas import (
DataFrame,
Index,
Series,
Timestamp,
date_range,
)
import pandas._testing as tm
from pandas.tests.groupby import get_groupby_method_args
class TestNumericOnly:
... | 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/groupby/test_libgroupby.py | pandas/tests/groupby/test_libgroupby.py | import numpy as np
import pytest
from pandas._libs import groupby as libgroupby
from pandas._libs.groupby import (
group_cumprod,
group_cumsum,
group_mean,
group_sum,
group_var,
)
from pandas.core.dtypes.common import ensure_platform_int
from pandas import isna
import pandas._testing as tm
clas... | 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/groupby/test_numba.py | pandas/tests/groupby/test_numba.py | import pytest
from pandas.compat import is_platform_arm
from pandas import (
DataFrame,
Series,
option_context,
)
import pandas._testing as tm
from pandas.util.version import Version
pytestmark = [pytest.mark.single_cpu]
numba = pytest.importorskip("numba")
pytestmark.append(
pytest.mark.skipif(
... | 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/groupby/methods/test_nth.py | pandas/tests/groupby/methods/test_nth.py | import numpy as np
import pytest
import pandas as pd
from pandas import (
DataFrame,
Index,
MultiIndex,
Series,
Timestamp,
isna,
)
import pandas._testing as tm
def test_first_last_nth(df):
# tests for first / last / nth
grouped = df.groupby("A")
first = grouped.first()
expecte... | 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/groupby/methods/test_nlargest_nsmallest.py | pandas/tests/groupby/methods/test_nlargest_nsmallest.py | import numpy as np
import pytest
from pandas import (
MultiIndex,
Series,
date_range,
)
import pandas._testing as tm
def test_nlargest():
a = Series([1, 3, 5, 7, 2, 9, 0, 4, 6, 10])
b = Series(list("a" * 5 + "b" * 5))
gb = a.groupby(b)
r = gb.nlargest(3)
e = Series(
[7, 5, 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/groupby/methods/test_quantile.py | pandas/tests/groupby/methods/test_quantile.py | import numpy as np
import pytest
import pandas as pd
from pandas import (
DataFrame,
Index,
)
import pandas._testing as tm
@pytest.mark.parametrize(
"interpolation", ["linear", "lower", "higher", "nearest", "midpoint"]
)
@pytest.mark.parametrize(
"a_vals,b_vals",
[
# Ints
([1, 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/groupby/methods/test_skew.py | pandas/tests/groupby/methods/test_skew.py | import numpy as np
import pandas as pd
import pandas._testing as tm
def test_groupby_skew_equivalence():
# Test that that groupby skew method (which uses libgroupby.group_skew)
# matches the results of operating group-by-group (which uses nanops.nanskew)
nrows = 1000
ngroups = 3
ncols = 2
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/groupby/methods/test_kurt.py | pandas/tests/groupby/methods/test_kurt.py | import numpy as np
import pytest
import pandas.util._test_decorators as td
import pandas as pd
import pandas._testing as tm
def test_groupby_kurt_equivalence():
# GH#40139
# Test that that groupby kurt method (which uses libgroupby.group_kurt)
# matches the results of operating group-by-group (which us... | 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/groupby/methods/test_rank.py | pandas/tests/groupby/methods/test_rank.py | from datetime import datetime
import numpy as np
import pytest
import pandas as pd
from pandas import (
DataFrame,
NaT,
Series,
concat,
)
import pandas._testing as tm
def test_rank_unordered_categorical_typeerror():
# GH#51034 should be TypeError, not NotImplementedError
cat = pd.Categorical... | 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/groupby/methods/test_groupby_shift_diff.py | pandas/tests/groupby/methods/test_groupby_shift_diff.py | import numpy as np
import pytest
from pandas import (
DataFrame,
NaT,
Series,
Timedelta,
Timestamp,
date_range,
)
import pandas._testing as tm
def test_group_shift_with_null_key():
# This test is designed to replicate the segfault in issue #13813.
n_rows = 1200
# Generate a moder... | 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/groupby/methods/__init__.py | pandas/tests/groupby/methods/__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/groupby/methods/test_value_counts.py | pandas/tests/groupby/methods/test_value_counts.py | """
these are systematically testing all of the args to value_counts
with different size combinations. This is to ensure stability of the sorting
and proper parameter handling
"""
import numpy as np
import pytest
from pandas import (
Categorical,
CategoricalIndex,
DataFrame,
Grouper,
Index,
Mu... | 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/groupby/methods/test_describe.py | pandas/tests/groupby/methods/test_describe.py | import numpy as np
import pytest
import pandas as pd
from pandas import (
DataFrame,
Index,
MultiIndex,
Series,
Timestamp,
date_range,
)
import pandas._testing as tm
def test_apply_describe_bug(multiindex_dataframe_random_data):
grouped = multiindex_dataframe_random_data.groupby(level="fi... | 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/groupby/methods/test_is_monotonic.py | pandas/tests/groupby/methods/test_is_monotonic.py | import numpy as np
import pytest
from pandas import (
DataFrame,
Index,
Series,
)
import pandas._testing as tm
@pytest.mark.parametrize(
"in_vals, out_vals",
[
# Basics: strictly increasing (T), strictly decreasing (F),
# abs val increasing (F), non-strictly increasing (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/groupby/methods/test_sample.py | pandas/tests/groupby/methods/test_sample.py | import pytest
from pandas import (
DataFrame,
Index,
Series,
)
import pandas._testing as tm
@pytest.mark.parametrize("n, frac", [(2, None), (None, 0.2)])
def test_groupby_sample_balanced_groups_shape(n, frac):
values = [1] * 10 + [2] * 10
df = DataFrame({"a": values, "b": values})
result = 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/groupby/methods/test_size.py | pandas/tests/groupby/methods/test_size.py | import numpy as np
import pytest
from pandas import (
DataFrame,
Index,
PeriodIndex,
Series,
)
import pandas._testing as tm
@pytest.mark.parametrize("by", ["A", "B", ["A", "B"]])
def test_size(df, by):
grouped = df.groupby(by=by)
result = grouped.size()
for key, group in grouped:
... | 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/groupby/aggregate/test_cython.py | pandas/tests/groupby/aggregate/test_cython.py | """
test cython .agg behavior
"""
import numpy as np
import pytest
from pandas.core.dtypes.common import (
is_float_dtype,
is_integer_dtype,
)
import pandas as pd
from pandas import (
DataFrame,
Index,
NaT,
Series,
Timedelta,
Timestamp,
bdate_range,
)
import pandas._testing as tm
... | 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/groupby/aggregate/test_other.py | pandas/tests/groupby/aggregate/test_other.py | """
test all other .agg behavior
"""
import datetime as dt
from functools import partial
import numpy as np
import pytest
from pandas.errors import SpecificationError
import pandas as pd
from pandas import (
DataFrame,
Index,
MultiIndex,
PeriodIndex,
Series,
date_range,
period_range,
)
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/groupby/aggregate/__init__.py | pandas/tests/groupby/aggregate/__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/groupby/aggregate/test_numba.py | pandas/tests/groupby/aggregate/test_numba.py | import numpy as np
import pytest
from pandas.compat import is_platform_arm
from pandas.errors import NumbaUtilError
from pandas import (
DataFrame,
Index,
NamedAgg,
Series,
option_context,
)
import pandas._testing as tm
from pandas.util.version import Version
pytestmark = [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/groupby/aggregate/test_aggregate.py | pandas/tests/groupby/aggregate/test_aggregate.py | """
test .agg behavior / note that .apply is tested generally in test_groupby.py
"""
import datetime
import functools
from functools import partial
import numpy as np
import pytest
from pandas.errors import SpecificationError
import pandas.util._test_decorators as td
from pandas.core.dtypes.common import is_integer... | 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/groupby/transform/test_transform.py | pandas/tests/groupby/transform/test_transform.py | """test with the .transform"""
import numpy as np
import pytest
from pandas._libs import lib
from pandas.errors import Pandas4Warning
from pandas.core.dtypes.common import ensure_platform_int
import pandas as pd
from pandas import (
Categorical,
DataFrame,
Index,
MultiIndex,
Series,
Timestam... | 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/groupby/transform/__init__.py | pandas/tests/groupby/transform/__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/groupby/transform/test_numba.py | pandas/tests/groupby/transform/test_numba.py | import numpy as np
import pytest
from pandas.compat import is_platform_arm
from pandas.errors import NumbaUtilError
from pandas import (
DataFrame,
Series,
option_context,
)
import pandas._testing as tm
from pandas.util.version import Version
pytestmark = [pytest.mark.single_cpu]
numba = pytest.importor... | 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/base/test_conversion.py | pandas/tests/base/test_conversion.py | import numpy as np
import pytest
from pandas.compat import HAS_PYARROW
from pandas.compat.numpy import np_version_gt2
from pandas.core.dtypes.dtypes import DatetimeTZDtype
import pandas as pd
from pandas import (
CategoricalIndex,
Series,
Timedelta,
Timestamp,
date_range,
)
import pandas._testing... | 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/base/test_unique.py | pandas/tests/base/test_unique.py | import numpy as np
import pytest
import pandas as pd
import pandas._testing as tm
from pandas.tests.base.common import allow_na_ops
@pytest.mark.filterwarnings(r"ignore:PeriodDtype\[B\] is deprecated:FutureWarning")
def test_unique(index_or_series_obj):
obj = index_or_series_obj
obj = np.repeat(obj, range(1,... | python | BSD-3-Clause | 91514c363604506f447e53380d3aa00520f1037b | 2026-01-04T14:39:36.002480Z | false |
pandas-dev/pandas | https://github.com/pandas-dev/pandas/blob/91514c363604506f447e53380d3aa00520f1037b/pandas/tests/base/common.py | pandas/tests/base/common.py | from typing import Any
from pandas import Index
def allow_na_ops(obj: Any) -> bool:
"""Whether to skip test cases including NaN"""
is_bool_index = isinstance(obj, Index) and obj.inferred_type == "boolean"
return not is_bool_index and obj._can_hold_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/base/test_constructors.py | pandas/tests/base/test_constructors.py | from datetime import datetime
import sys
import numpy as np
import pytest
from pandas.compat import PYPY
import pandas as pd
from pandas import (
DataFrame,
Index,
Series,
)
import pandas._testing as tm
from pandas.core.accessor import PandasDelegate
from pandas.core.base import (
NoNewAttributesMixi... | 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/base/__init__.py | pandas/tests/base/__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/base/test_value_counts.py | pandas/tests/base/test_value_counts.py | import collections
from datetime import timedelta
import numpy as np
import pytest
import pandas as pd
from pandas import (
DatetimeIndex,
Index,
Interval,
IntervalIndex,
MultiIndex,
Series,
Timedelta,
TimedeltaIndex,
Timestamp,
array,
)
import pandas._testing as tm
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/base/test_transpose.py | pandas/tests/base/test_transpose.py | import numpy as np
import pytest
from pandas import (
CategoricalDtype,
DataFrame,
)
import pandas._testing as tm
def test_transpose(index_or_series_obj):
obj = index_or_series_obj
tm.assert_equal(obj.transpose(), obj)
def test_transpose_non_default_axes(index_or_series_obj):
msg = "the 'axes' ... | 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/base/test_misc.py | pandas/tests/base/test_misc.py | import sys
import numpy as np
import pytest
from pandas.compat import PYPY
from pandas.core.dtypes.common import (
is_object_dtype,
)
import pandas as pd
from pandas import (
Index,
Series,
)
def test_isnull_notnull_docstrings():
# GH#41855 make sure its clear these are aliases
doc = pd.DataFr... | 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/base/test_fillna.py | pandas/tests/base/test_fillna.py | """
Though Index.fillna and Series.fillna has separate impl,
test here to confirm these works as the same
"""
import numpy as np
import pytest
from pandas import MultiIndex
import pandas._testing as tm
from pandas.tests.base.common import allow_na_ops
def test_fillna(index_or_series_obj):
# GH 11343
obj = 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/copy_view/test_indexing.py | pandas/tests/copy_view/test_indexing.py | import numpy as np
import pytest
from pandas.core.dtypes.common import is_float_dtype
import pandas as pd
from pandas import (
DataFrame,
Series,
)
import pandas._testing as tm
from pandas.tests.copy_view.util import get_array
@pytest.fixture(params=["numpy", "nullable"])
def backend(request):
if reques... | 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/copy_view/util.py | pandas/tests/copy_view/util.py | from pandas import (
Categorical,
Index,
Series,
)
from pandas.core.arrays import BaseMaskedArray
def get_array(obj, col=None):
"""
Helper method to get array for a DataFrame column or a Series.
Equivalent of df[col].values, but without going through normal getitem,
which triggers trackin... | 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/copy_view/test_util.py | pandas/tests/copy_view/test_util.py | import numpy as np
from pandas import DataFrame
from pandas.tests.copy_view.util import get_array
def test_get_array_numpy():
df = DataFrame({"a": [1, 2, 3]})
assert np.shares_memory(get_array(df, "a"), get_array(df, "a"))
def test_get_array_masked():
df = DataFrame({"a": [1, 2, 3]}, dtype="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/copy_view/test_astype.py | pandas/tests/copy_view/test_astype.py | import pickle
import numpy as np
import pytest
from pandas import (
DataFrame,
Series,
Timestamp,
date_range,
)
import pandas._testing as tm
from pandas.tests.copy_view.util import get_array
def test_astype_single_dtype():
df = DataFrame({"a": [1, 2, 3], "b": [4, 5, 6], "c": 1.5})
df_orig = ... | 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/copy_view/test_interp_fillna.py | pandas/tests/copy_view/test_interp_fillna.py | import numpy as np
import pytest
from pandas import (
NA,
DataFrame,
Interval,
NaT,
Series,
Timestamp,
interval_range,
)
import pandas._testing as tm
from pandas.tests.copy_view.util import get_array
@pytest.mark.parametrize("method", ["pad", "nearest", "linear"])
def test_interpolate_no_... | 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/copy_view/test_functions.py | pandas/tests/copy_view/test_functions.py | import numpy as np
import pytest
from pandas import (
DataFrame,
Index,
Series,
concat,
merge,
)
import pandas._testing as tm
from pandas.tests.copy_view.util import get_array
def test_concat_frames():
df = DataFrame({"b": ["a"] * 3}, dtype=object)
df2 = DataFrame({"a": ["a"] * 3}, 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/copy_view/test_array.py | pandas/tests/copy_view/test_array.py | import numpy as np
import pytest
from pandas.compat.numpy import np_version_gt2
from pandas import (
DataFrame,
Series,
date_range,
)
import pandas._testing as tm
from pandas.tests.copy_view.util import get_array
# -----------------------------------------------------------------------------
# Copy/view ... | 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/copy_view/test_copy_deprecation.py | pandas/tests/copy_view/test_copy_deprecation.py | import pytest
from pandas.errors import Pandas4Warning
import pandas as pd
from pandas import (
concat,
merge,
)
import pandas._testing as tm
@pytest.mark.parametrize(
"meth, kwargs",
[
("truncate", {}),
("tz_convert", {"tz": "UTC"}),
("tz_localize", {"tz": "UTC"}),
(... | 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/copy_view/test_replace.py | pandas/tests/copy_view/test_replace.py | import numpy as np
import pytest
from pandas import (
Categorical,
DataFrame,
)
import pandas._testing as tm
from pandas.tests.copy_view.util import get_array
@pytest.mark.parametrize(
"replace_kwargs",
[
{"to_replace": {"a": 1, "b": 4}, "value": -1},
# Test CoW splits blocks to avoid... | 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/copy_view/test_constructors.py | pandas/tests/copy_view/test_constructors.py | import numpy as np
import pytest
import pandas as pd
from pandas import (
DataFrame,
DatetimeIndex,
Index,
Period,
PeriodIndex,
Series,
Timedelta,
TimedeltaIndex,
Timestamp,
)
import pandas._testing as tm
from pandas.tests.copy_view.util import get_array
# -------------------------... | 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/copy_view/test_chained_assignment_deprecation.py | pandas/tests/copy_view/test_chained_assignment_deprecation.py | import numpy as np
import pytest
from pandas.compat import CHAINED_WARNING_DISABLED
from pandas.errors import ChainedAssignmentError
from pandas import DataFrame
import pandas._testing as tm
@pytest.mark.parametrize(
"indexer", [0, [0, 1], slice(0, 2), np.array([True, False, True])]
)
def test_series_setitem(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/copy_view/test_core_functionalities.py | pandas/tests/copy_view/test_core_functionalities.py | import numpy as np
import pytest
from pandas import DataFrame
import pandas._testing as tm
from pandas.tests.copy_view.util import get_array
def test_assigning_to_same_variable_removes_references():
df = DataFrame({"a": [1, 2, 3]})
df = df.reset_index()
assert df._mgr._has_no_reference(1)
arr = get_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/copy_view/test_internals.py | pandas/tests/copy_view/test_internals.py | import numpy as np
import pytest
from pandas import (
DataFrame,
Series,
)
import pandas._testing as tm
from pandas.tests.copy_view.util import get_array
def test_consolidate():
# create unconsolidated DataFrame
df = DataFrame({"a": [1, 2, 3], "b": [0.1, 0.2, 0.3]})
df["c"] = [4, 5, 6]
# tak... | 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/copy_view/test_methods.py | pandas/tests/copy_view/test_methods.py | import numpy as np
import pytest
from pandas.compat import HAS_PYARROW
import pandas as pd
from pandas import (
DataFrame,
Index,
MultiIndex,
Period,
Series,
Timestamp,
date_range,
period_range,
)
import pandas._testing as tm
from pandas.tests.copy_view.util import get_array
from panda... | 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/copy_view/__init__.py | pandas/tests/copy_view/__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/copy_view/test_setitem.py | pandas/tests/copy_view/test_setitem.py | import numpy as np
from pandas import (
DataFrame,
Index,
MultiIndex,
RangeIndex,
Series,
)
import pandas._testing as tm
from pandas.tests.copy_view.util import get_array
# -----------------------------------------------------------------------------
# Copy/view behaviour for the values that are 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/copy_view/test_clip.py | pandas/tests/copy_view/test_clip.py | import numpy as np
from pandas import DataFrame
import pandas._testing as tm
from pandas.tests.copy_view.util import get_array
def test_clip_inplace_reference():
df = DataFrame({"a": [1.5, 2, 3]})
df_copy = df.copy()
arr_a = get_array(df, "a")
view = df[:]
df.clip(lower=2, inplace=True)
asse... | python | BSD-3-Clause | 91514c363604506f447e53380d3aa00520f1037b | 2026-01-04T14:39:36.002480Z | false |
pandas-dev/pandas | https://github.com/pandas-dev/pandas/blob/91514c363604506f447e53380d3aa00520f1037b/pandas/tests/copy_view/index/test_index.py | pandas/tests/copy_view/index/test_index.py | import numpy as np
import pytest
from pandas import (
DataFrame,
Index,
Series,
array,
)
import pandas._testing as tm
from pandas.tests.copy_view.util import get_array
def index_view(index_data):
df = DataFrame({"a": index_data, "b": 1.5})
view = df[:]
df = df.set_index("a", drop=True)
... | 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/copy_view/index/test_datetimeindex.py | pandas/tests/copy_view/index/test_datetimeindex.py | import numpy as np
import pytest
from pandas import (
DatetimeIndex,
Series,
Timestamp,
array,
date_range,
)
import pandas._testing as tm
from pandas.tests.copy_view.util import get_array
pytestmark = pytest.mark.filterwarnings(
"ignore:Setting a value on a view:FutureWarning"
)
@pytest.mark... | 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/copy_view/index/test_intervalindex.py | pandas/tests/copy_view/index/test_intervalindex.py | import numpy as np
from pandas import (
Interval,
IntervalIndex,
Series,
array,
)
import pandas._testing as tm
from pandas.tests.copy_view.util import get_array
def test_constructor_copy_input_interval_ea_default():
# GH 63388
arr = array([Interval(0, 1), Interval(1, 2)])
idx = IntervalIn... | 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/copy_view/index/test_periodindex.py | pandas/tests/copy_view/index/test_periodindex.py | import numpy as np
import pytest
from pandas import (
Period,
PeriodIndex,
Series,
array,
period_range,
)
import pandas._testing as tm
from pandas.tests.copy_view.util import get_array
pytestmark = pytest.mark.filterwarnings(
"ignore:Setting a value on a view:FutureWarning"
)
@pytest.mark.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/copy_view/index/__init__.py | pandas/tests/copy_view/index/__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/copy_view/index/test_timedeltaindex.py | pandas/tests/copy_view/index/test_timedeltaindex.py | import numpy as np
import pytest
from pandas import (
Series,
Timedelta,
TimedeltaIndex,
array,
timedelta_range,
)
import pandas._testing as tm
from pandas.tests.copy_view.util import get_array
pytestmark = pytest.mark.filterwarnings(
"ignore:Setting a value on a view:FutureWarning"
)
@pytes... | 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_ewm.py | pandas/tests/window/test_ewm.py | import numpy as np
import pytest
from pandas import (
DataFrame,
DatetimeIndex,
Series,
date_range,
)
import pandas._testing as tm
def test_doc_string():
df = DataFrame({"B": [0, 1, 2, np.nan, 4]})
df
df.ewm(com=0.5).mean()
def test_constructor(frame_or_series):
c = frame_or_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_rolling.py | pandas/tests/window/test_rolling.py | from datetime import (
datetime,
timedelta,
)
import numpy as np
import pytest
from pandas.compat import (
IS64,
)
from pandas.errors import Pandas4Warning
from pandas import (
DataFrame,
DatetimeIndex,
MultiIndex,
Series,
Timedelta,
Timestamp,
date_range,
period_range,
)
... | 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/window/test_base_indexer.py | pandas/tests/window/test_base_indexer.py | import numpy as np
import pytest
from pandas import (
DataFrame,
MultiIndex,
Series,
concat,
date_range,
)
import pandas._testing as tm
from pandas.api.indexers import (
BaseIndexer,
FixedForwardWindowIndexer,
)
from pandas.core.indexers.objects import (
ExpandingIndexer,
FixedWindo... | 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_apply.py | pandas/tests/window/test_apply.py | import numpy as np
import pytest
from pandas import (
DataFrame,
Index,
MultiIndex,
Series,
Timestamp,
concat,
date_range,
isna,
notna,
)
import pandas._testing as tm
from pandas.tseries import offsets
# suppress warnings about empty slices, as we are deliberately testing
# with 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/window/test_online.py | pandas/tests/window/test_online.py | import numpy as np
import pytest
from pandas.compat import is_platform_arm
from pandas import (
DataFrame,
Series,
)
import pandas._testing as tm
from pandas.util.version import Version
pytestmark = [pytest.mark.single_cpu]
numba = pytest.importorskip("numba")
pytestmark.append(
pytest.mark.skipif(
... | 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_expanding.py | pandas/tests/window/test_expanding.py | import numpy as np
import pytest
from pandas import (
DataFrame,
DatetimeIndex,
Index,
MultiIndex,
Series,
isna,
notna,
)
import pandas._testing as tm
def test_doc_string():
df = DataFrame({"B": [0, 1, 2, np.nan, 4]})
df
df.expanding(2).sum()
def test_constructor(frame_or_se... | 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_quantile.py | pandas/tests/window/test_rolling_quantile.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
def scoreatpercentile(a, per):
values = np.sort(a, axis=0)
idx = int(per / 1.0 * (values.shape[0... | 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_functions.py | pandas/tests/window/test_rolling_functions.py | from datetime import datetime
import numpy as np
import pytest
import pandas.util._test_decorators as td
from pandas import (
DataFrame,
DatetimeIndex,
Series,
concat,
isna,
notna,
)
import pandas._testing as tm
from pandas.tseries import offsets
@pytest.mark.parametrize(
"compare_func... | 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_groupby.py | pandas/tests/window/test_groupby.py | import numpy as np
import pytest
from pandas.errors import Pandas4Warning
from pandas import (
DataFrame,
DatetimeIndex,
Index,
MultiIndex,
NamedAgg,
Series,
Timestamp,
date_range,
to_datetime,
)
import pandas._testing as tm
from pandas.api.indexers import BaseIndexer
from pandas.c... | 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/window/conftest.py | pandas/tests/window/conftest.py | from datetime import (
datetime,
timedelta,
)
import numpy as np
import pytest
import pandas.util._test_decorators as td
from pandas import (
DataFrame,
Series,
bdate_range,
)
@pytest.fixture(params=[True, False])
def raw(request):
"""raw keyword argument for rolling.apply"""
return req... | 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_dtypes.py | pandas/tests/window/test_dtypes.py | import numpy as np
import pytest
from pandas.errors import DataError
from pandas.core.dtypes.common import pandas_dtype
from pandas import (
NA,
DataFrame,
Series,
)
import pandas._testing as tm
# gh-12373 : rolling functions error on float32 data
# make sure rolling functions works for different 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/window/test_api.py | pandas/tests/window/test_api.py | import numpy as np
import pytest
from pandas.errors import (
DataError,
SpecificationError,
)
from pandas import (
DataFrame,
Index,
MultiIndex,
Period,
Series,
Timestamp,
concat,
date_range,
timedelta_range,
)
import pandas._testing as tm
def test_getitem(step):
fram... | python | BSD-3-Clause | 91514c363604506f447e53380d3aa00520f1037b | 2026-01-04T14:39:36.002480Z | false |
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