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repo_id stringlengths 12 110 | file_path stringlengths 24 164 | content stringlengths 3 89.3M | __index_level_0__ int64 0 0 |
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public_repos/pandas/pandas/tests | public_repos/pandas/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... | 0 |
public_repos/pandas/pandas/tests | public_repos/pandas/pandas/tests/window/test_rolling_skew_kurt.py | from functools import partial
import numpy as np
import pytest
from pandas import (
DataFrame,
Series,
concat,
isna,
notna,
)
import pandas._testing as tm
from pandas.tseries import offsets
@pytest.mark.parametrize("sp_func, roll_func", [["kurtosis", "kurt"], ["skew", "skew"]])
def test_series(... | 0 |
public_repos/pandas/pandas/tests | public_repos/pandas/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... | 0 |
public_repos/pandas/pandas/tests | public_repos/pandas/pandas/tests/window/test_timeseries_window.py | import numpy as np
import pytest
from pandas import (
DataFrame,
DatetimeIndex,
MultiIndex,
NaT,
Series,
Timestamp,
date_range,
)
import pandas._testing as tm
from pandas.tseries import offsets
@pytest.fixture
def regular():
return DataFrame(
{"A": date_range("20130101", peri... | 0 |
public_repos/pandas/pandas/tests | public_repos/pandas/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... | 0 |
public_repos/pandas/pandas/tests | public_repos/pandas/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... | 0 |
public_repos/pandas/pandas/tests | public_repos/pandas/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... | 0 |
public_repos/pandas/pandas/tests | public_repos/pandas/pandas/tests/window/test_win_type.py | import numpy as np
import pytest
from pandas import (
DataFrame,
Series,
Timedelta,
concat,
date_range,
)
import pandas._testing as tm
from pandas.api.indexers import BaseIndexer
@pytest.fixture(
params=[
"triang",
"blackman",
"hamming",
"bartlett",
"bo... | 0 |
public_repos/pandas/pandas/tests | public_repos/pandas/pandas/tests/window/test_pairwise.py | import numpy as np
import pytest
from pandas.compat import IS64
from pandas import (
DataFrame,
Index,
MultiIndex,
Series,
date_range,
)
import pandas._testing as tm
from pandas.core.algorithms import safe_sort
@pytest.fixture(
params=[
DataFrame([[2, 4], [1, 2], [5, 2], [8, 1]], col... | 0 |
public_repos/pandas/pandas/tests | public_repos/pandas/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(... | 0 |
public_repos/pandas/pandas/tests | public_repos/pandas/pandas/tests/window/test_online.py | import numpy as np
import pytest
from pandas.compat import (
is_ci_environment,
is_platform_mac,
is_platform_windows,
)
from pandas import (
DataFrame,
Series,
)
import pandas._testing as tm
pytestmark = [
pytest.mark.single_cpu,
pytest.mark.skipif(
is_ci_environment() and (is_pla... | 0 |
public_repos/pandas/pandas/tests | public_repos/pandas/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... | 0 |
public_repos/pandas/pandas/tests | public_repos/pandas/pandas/tests/window/test_groupby.py | import numpy as np
import pytest
from pandas import (
DataFrame,
Index,
MultiIndex,
Series,
Timestamp,
date_range,
to_datetime,
)
import pandas._testing as tm
from pandas.api.indexers import BaseIndexer
from pandas.core.groupby.groupby import get_groupby
@pytest.fixture
def times_frame():... | 0 |
public_repos/pandas/pandas/tests | public_repos/pandas/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... | 0 |
public_repos/pandas/pandas/tests | public_repos/pandas/pandas/tests/window/test_numba.py | import numpy as np
import pytest
from pandas.compat import (
is_ci_environment,
is_platform_mac,
is_platform_windows,
)
from pandas.errors import NumbaUtilError
import pandas.util._test_decorators as td
from pandas import (
DataFrame,
Series,
option_context,
to_datetime,
)
import pandas._t... | 0 |
public_repos/pandas/pandas/tests | public_repos/pandas/pandas/tests/window/test_cython_aggregations.py | from functools import partial
import sys
import numpy as np
import pytest
import pandas._libs.window.aggregations as window_aggregations
from pandas import Series
import pandas._testing as tm
def _get_rolling_aggregations():
# list pairs of name and function
# each function has this signature:
# (const... | 0 |
public_repos/pandas/pandas/tests/window | public_repos/pandas/pandas/tests/window/moments/test_moments_consistency_expanding.py | import numpy as np
import pytest
from pandas import Series
import pandas._testing as tm
def no_nans(x):
return x.notna().all().all()
def all_na(x):
return x.isnull().all().all()
@pytest.mark.parametrize("f", [lambda v: Series(v).sum(), np.nansum, np.sum])
def test_expanding_apply_consistency_sum_nans(req... | 0 |
public_repos/pandas/pandas/tests/window | public_repos/pandas/pandas/tests/window/moments/conftest.py | import itertools
import numpy as np
import pytest
from pandas import (
DataFrame,
Series,
notna,
)
def create_series():
return [
Series(dtype=np.float64, name="a"),
Series([np.nan] * 5),
Series([1.0] * 5),
Series(range(5, 0, -1)),
Series(range(5)),
Ser... | 0 |
public_repos/pandas/pandas/tests/window | public_repos/pandas/pandas/tests/window/moments/test_moments_consistency_ewm.py | import numpy as np
import pytest
from pandas import (
DataFrame,
Series,
concat,
)
import pandas._testing as tm
def create_mock_weights(obj, com, adjust, ignore_na):
if isinstance(obj, DataFrame):
if not len(obj.columns):
return DataFrame(index=obj.index, columns=obj.columns)
... | 0 |
public_repos/pandas/pandas/tests/window | public_repos/pandas/pandas/tests/window/moments/test_moments_consistency_rolling.py | import numpy as np
import pytest
from pandas import Series
import pandas._testing as tm
def no_nans(x):
return x.notna().all().all()
def all_na(x):
return x.isnull().all().all()
@pytest.fixture(params=[(1, 0), (5, 1)])
def rolling_consistency_cases(request):
"""window, min_periods"""
return reque... | 0 |
public_repos/pandas/pandas/tests | public_repos/pandas/pandas/tests/computation/test_eval.py | from __future__ import annotations
from functools import reduce
from itertools import product
import operator
import numpy as np
import pytest
from pandas.compat import PY312
from pandas.errors import (
NumExprClobberingError,
PerformanceWarning,
UndefinedVariableError,
)
import pandas.util._test_decorat... | 0 |
public_repos/pandas/pandas/tests | public_repos/pandas/pandas/tests/computation/test_compat.py | import pytest
from pandas.compat._optional import VERSIONS
import pandas as pd
from pandas.core.computation import expr
from pandas.core.computation.engines import ENGINES
from pandas.util.version import Version
def test_compat():
# test we have compat with our version of numexpr
from pandas.core.computati... | 0 |
public_repos/pandas/pandas/tests | public_repos/pandas/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(using_copy_on_write):
df = DataFrame({"b": ["a"] * 3})
df2 = DataFrame({"a": ["a"] * 3})
... | 0 |
public_repos/pandas/pandas/tests | public_repos/pandas/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(using_copy_on_write):
df = DataFrame({"a": [1, 2, 3]})
df = df.reset_index()
if using_copy_on_write:
... | 0 |
public_repos/pandas/pandas/tests | public_repos/pandas/pandas/tests/copy_view/test_setitem.py | import numpy as np
import pytest
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 val... | 0 |
public_repos/pandas/pandas/tests | public_repos/pandas/pandas/tests/copy_view/test_astype.py | import pickle
import numpy as np
import pytest
from pandas.compat.pyarrow import pa_version_under12p0
import pandas.util._test_decorators as td
import pandas as pd
from pandas import (
DataFrame,
Series,
Timestamp,
date_range,
)
import pandas._testing as tm
from pandas.tests.copy_view.util import get... | 0 |
public_repos/pandas/pandas/tests | public_repos/pandas/pandas/tests/copy_view/test_internals.py | import numpy as np
import pytest
import pandas.util._test_decorators as td
import pandas as pd
from pandas import DataFrame
import pandas._testing as tm
from pandas.tests.copy_view.util import get_array
@td.skip_array_manager_invalid_test
def test_consolidate(using_copy_on_write):
# create unconsolidated DataFr... | 0 |
public_repos/pandas/pandas/tests | public_repos/pandas/pandas/tests/copy_view/test_methods.py | import numpy as np
import pytest
from pandas.errors import SettingWithCopyWarning
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... | 0 |
public_repos/pandas/pandas/tests | public_repos/pandas/pandas/tests/copy_view/test_array.py | import numpy as np
import pytest
from pandas import (
DataFrame,
Series,
date_range,
)
import pandas._testing as tm
from pandas.tests.copy_view.util import get_array
# -----------------------------------------------------------------------------
# Copy/view behaviour for accessing underlying array of Seri... | 0 |
public_repos/pandas/pandas/tests | public_repos/pandas/pandas/tests/copy_view/test_indexing.py | import numpy as np
import pytest
from pandas.errors import SettingWithCopyWarning
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"... | 0 |
public_repos/pandas/pandas/tests | public_repos/pandas/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(using_copy_on_write):
df = DataFrame({"a": [1.5, 2, 3]})
df_copy = df.copy()
arr_a = get_array(df, "a")
view = df[:]
df.clip(lower=2, inpl... | 0 |
public_repos/pandas/pandas/tests | public_repos/pandas/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... | 0 |
public_repos/pandas/pandas/tests | public_repos/pandas/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")
... | 0 |
public_repos/pandas/pandas/tests | public_repos/pandas/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... | 0 |
public_repos/pandas/pandas/tests | public_repos/pandas/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
# -------------------------... | 0 |
public_repos/pandas/pandas/tests | public_repos/pandas/pandas/tests/copy_view/test_interp_fillna.py | import numpy as np
import pytest
from pandas import (
NA,
ArrowDtype,
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... | 0 |
public_repos/pandas/pandas/tests/copy_view | public_repos/pandas/pandas/tests/copy_view/index/test_index.py | import numpy as np
import pytest
from pandas import (
DataFrame,
Index,
Series,
)
import pandas._testing as tm
from pandas.tests.copy_view.util import get_array
def index_view(index_data=[1, 2]):
df = DataFrame({"a": index_data, "b": 1.5})
view = df[:]
df = df.set_index("a", drop=True)
id... | 0 |
public_repos/pandas/pandas/tests/copy_view | public_repos/pandas/pandas/tests/copy_view/index/test_timedeltaindex.py | import pytest
from pandas import (
Series,
Timedelta,
TimedeltaIndex,
timedelta_range,
)
import pandas._testing as tm
pytestmark = pytest.mark.filterwarnings(
"ignore:Setting a value on a view:FutureWarning"
)
@pytest.mark.parametrize(
"cons",
[
lambda x: TimedeltaIndex(x),
... | 0 |
public_repos/pandas/pandas/tests/copy_view | public_repos/pandas/pandas/tests/copy_view/index/test_periodindex.py | import pytest
from pandas import (
Period,
PeriodIndex,
Series,
period_range,
)
import pandas._testing as tm
pytestmark = pytest.mark.filterwarnings(
"ignore:Setting a value on a view:FutureWarning"
)
@pytest.mark.parametrize(
"cons",
[
lambda x: PeriodIndex(x),
lambda x:... | 0 |
public_repos/pandas/pandas/tests/copy_view | public_repos/pandas/pandas/tests/copy_view/index/test_datetimeindex.py | import pytest
from pandas import (
DatetimeIndex,
Series,
Timestamp,
date_range,
)
import pandas._testing as tm
pytestmark = pytest.mark.filterwarnings(
"ignore:Setting a value on a view:FutureWarning"
)
@pytest.mark.parametrize(
"cons",
[
lambda x: DatetimeIndex(x),
lamb... | 0 |
public_repos/pandas/pandas/tests | public_repos/pandas/pandas/tests/plotting/test_misc.py | """ Test cases for misc plot functions """
import os
import numpy as np
import pytest
import pandas.util._test_decorators as td
from pandas import (
DataFrame,
Index,
Series,
Timestamp,
date_range,
interval_range,
period_range,
plotting,
)
import pandas._testing as tm
from pandas.test... | 0 |
public_repos/pandas/pandas/tests | public_repos/pandas/pandas/tests/plotting/test_backend.py | import sys
import types
import pytest
import pandas.util._test_decorators as td
import pandas
@pytest.fixture
def dummy_backend():
db = types.ModuleType("pandas_dummy_backend")
setattr(db, "plot", lambda *args, **kwargs: "used_dummy")
return db
@pytest.fixture
def restore_backend():
"""Restore th... | 0 |
public_repos/pandas/pandas/tests | public_repos/pandas/pandas/tests/plotting/common.py | """
Module consolidating common testing functions for checking plotting.
"""
from __future__ import annotations
from typing import TYPE_CHECKING
import numpy as np
from pandas.core.dtypes.api import is_list_like
import pandas as pd
from pandas import Series
import pandas._testing as tm
if TYPE_CHECKING:
from ... | 0 |
public_repos/pandas/pandas/tests | public_repos/pandas/pandas/tests/plotting/conftest.py | import gc
import numpy as np
import pytest
from pandas import (
DataFrame,
to_datetime,
)
@pytest.fixture(autouse=True)
def mpl_cleanup():
# matplotlib/testing/decorators.py#L24
# 1) Resets units registry
# 2) Resets rc_context
# 3) Closes all figures
mpl = pytest.importorskip("matplotli... | 0 |
public_repos/pandas/pandas/tests | public_repos/pandas/pandas/tests/plotting/test_style.py | import pytest
from pandas import Series
pytest.importorskip("matplotlib")
from pandas.plotting._matplotlib.style import get_standard_colors
class TestGetStandardColors:
@pytest.mark.parametrize(
"num_colors, expected",
[
(3, ["red", "green", "blue"]),
(5, ["red", "green",... | 0 |
public_repos/pandas/pandas/tests | public_repos/pandas/pandas/tests/plotting/test_datetimelike.py | """ Test cases for time series specific (freq conversion, etc) """
from datetime import (
date,
datetime,
time,
timedelta,
)
import pickle
import numpy as np
import pytest
from pandas._libs.tslibs import (
BaseOffset,
to_offset,
)
from pandas._libs.tslibs.dtypes import freq_to_period_freqstr
... | 0 |
public_repos/pandas/pandas/tests | public_repos/pandas/pandas/tests/plotting/test_converter.py | from datetime import (
date,
datetime,
)
import subprocess
import sys
import numpy as np
import pytest
import pandas._config.config as cf
from pandas._libs.tslibs import to_offset
from pandas import (
Index,
Period,
PeriodIndex,
Series,
Timestamp,
arrays,
date_range,
)
import pan... | 0 |
public_repos/pandas/pandas/tests | public_repos/pandas/pandas/tests/plotting/test_common.py | import pytest
from pandas import DataFrame
from pandas.tests.plotting.common import (
_check_plot_works,
_check_ticks_props,
_gen_two_subplots,
)
plt = pytest.importorskip("matplotlib.pyplot")
class TestCommon:
def test__check_ticks_props(self):
# GH 34768
df = DataFrame({"b": [0, 1,... | 0 |
public_repos/pandas/pandas/tests | public_repos/pandas/pandas/tests/plotting/test_boxplot_method.py | """ Test cases for .boxplot method """
import itertools
import string
import numpy as np
import pytest
from pandas import (
DataFrame,
MultiIndex,
Series,
date_range,
plotting,
timedelta_range,
)
import pandas._testing as tm
from pandas.tests.plotting.common import (
_check_axes_shape,
... | 0 |
public_repos/pandas/pandas/tests | public_repos/pandas/pandas/tests/plotting/test_hist_method.py | """ Test cases for .hist method """
import re
import numpy as np
import pytest
from pandas import (
DataFrame,
Index,
Series,
to_datetime,
)
import pandas._testing as tm
from pandas.tests.plotting.common import (
_check_ax_scales,
_check_axes_shape,
_check_colors,
_check_legend_labels,... | 0 |
public_repos/pandas/pandas/tests | public_repos/pandas/pandas/tests/plotting/test_groupby.py | """ Test cases for GroupBy.plot """
import numpy as np
import pytest
from pandas import (
DataFrame,
Index,
Series,
)
from pandas.tests.plotting.common import (
_check_axes_shape,
_check_legend_labels,
)
pytest.importorskip("matplotlib")
class TestDataFrameGroupByPlots:
def test_series_gro... | 0 |
public_repos/pandas/pandas/tests | public_repos/pandas/pandas/tests/plotting/test_series.py | """ Test cases for Series.plot """
from datetime import datetime
from itertools import chain
import numpy as np
import pytest
from pandas.compat import is_platform_linux
from pandas.compat.numpy import np_version_gte1p24
import pandas.util._test_decorators as td
import pandas as pd
from pandas import (
DataFrame... | 0 |
public_repos/pandas/pandas/tests/plotting | public_repos/pandas/pandas/tests/plotting/frame/test_hist_box_by.py | import re
import numpy as np
import pytest
from pandas import DataFrame
import pandas._testing as tm
from pandas.tests.plotting.common import (
_check_axes_shape,
_check_plot_works,
get_x_axis,
get_y_axis,
)
pytest.importorskip("matplotlib")
@pytest.fixture
def hist_df():
df = DataFrame(
... | 0 |
public_repos/pandas/pandas/tests/plotting | public_repos/pandas/pandas/tests/plotting/frame/test_frame_subplots.py | """ Test cases for DataFrame.plot """
import string
import numpy as np
import pytest
from pandas.compat import is_platform_linux
from pandas.compat.numpy import np_version_gte1p24
import pandas as pd
from pandas import (
DataFrame,
Series,
date_range,
)
import pandas._testing as tm
from pandas.tests.plo... | 0 |
public_repos/pandas/pandas/tests/plotting | public_repos/pandas/pandas/tests/plotting/frame/test_frame_groupby.py | """ Test cases for DataFrame.plot """
import pytest
from pandas import DataFrame
from pandas.tests.plotting.common import _check_visible
pytest.importorskip("matplotlib")
class TestDataFramePlotsGroupby:
def _assert_ytickslabels_visibility(self, axes, expected):
for ax, exp in zip(axes, expected):
... | 0 |
public_repos/pandas/pandas/tests/plotting | public_repos/pandas/pandas/tests/plotting/frame/test_frame.py | """ Test cases for DataFrame.plot """
from datetime import (
date,
datetime,
)
import gc
import itertools
import re
import string
import weakref
import numpy as np
import pytest
from pandas.core.dtypes.api import is_list_like
import pandas as pd
from pandas import (
DataFrame,
MultiIndex,
PeriodI... | 0 |
public_repos/pandas/pandas/tests/plotting | public_repos/pandas/pandas/tests/plotting/frame/test_frame_color.py | """ Test cases for DataFrame.plot """
import re
import numpy as np
import pytest
import pandas as pd
from pandas import DataFrame
import pandas._testing as tm
from pandas.tests.plotting.common import (
_check_colors,
_check_plot_works,
_unpack_cycler,
)
from pandas.util.version import Version
mpl = pytes... | 0 |
public_repos/pandas/pandas/tests/plotting | public_repos/pandas/pandas/tests/plotting/frame/test_frame_legend.py | import numpy as np
import pytest
import pandas.util._test_decorators as td
from pandas import (
DataFrame,
date_range,
)
from pandas.tests.plotting.common import (
_check_legend_labels,
_check_legend_marker,
_check_text_labels,
)
from pandas.util.version import Version
mpl = pytest.importorskip("... | 0 |
public_repos/pandas/pandas/tests | public_repos/pandas/pandas/tests/tools/test_to_numeric.py | import decimal
import numpy as np
from numpy import iinfo
import pytest
import pandas as pd
from pandas import (
ArrowDtype,
DataFrame,
Index,
Series,
to_numeric,
)
import pandas._testing as tm
@pytest.fixture(params=[None, "ignore", "raise", "coerce"])
def errors(request):
return request.pa... | 0 |
public_repos/pandas/pandas/tests | public_repos/pandas/pandas/tests/tools/test_to_datetime.py | """ test to_datetime """
import calendar
from collections import deque
from datetime import (
date,
datetime,
timedelta,
timezone,
)
from decimal import Decimal
import locale
from dateutil.parser import parse
from dateutil.tz.tz import tzoffset
import numpy as np
import pytest
import pytz
from pandas... | 0 |
public_repos/pandas/pandas/tests | public_repos/pandas/pandas/tests/tools/test_to_timedelta.py | from datetime import (
time,
timedelta,
)
import numpy as np
import pytest
from pandas.errors import OutOfBoundsTimedelta
import pandas as pd
from pandas import (
Series,
TimedeltaIndex,
isna,
to_timedelta,
)
import pandas._testing as tm
from pandas.core.arrays import TimedeltaArray
class T... | 0 |
public_repos/pandas/pandas/tests | public_repos/pandas/pandas/tests/tools/test_to_time.py | from datetime import time
import locale
import numpy as np
import pytest
from pandas.compat import PY311
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... | 0 |
public_repos/pandas/pandas/tests | public_repos/pandas/pandas/tests/interchange/test_spec_conformance.py | """
A verbatim copy (vendored) of the spec tests.
Taken from https://github.com/data-apis/dataframe-api
"""
import ctypes
import math
import pytest
import pandas as pd
@pytest.fixture
def df_from_dict():
def maker(dct, is_categorical=False):
df = pd.DataFrame(dct)
return df.astype("category") if... | 0 |
public_repos/pandas/pandas/tests | public_repos/pandas/pandas/tests/interchange/test_impl.py | from datetime import datetime
import numpy as np
import pytest
from pandas._libs.tslibs import iNaT
from pandas.compat import (
is_ci_environment,
is_platform_windows,
)
from pandas.compat.numpy import np_version_lt1p23
import pandas as pd
import pandas._testing as tm
from pandas.core.interchange.column impo... | 0 |
public_repos/pandas/pandas/tests | public_repos/pandas/pandas/tests/interchange/test_utils.py | import numpy as np
import pytest
import pandas as pd
from pandas.core.interchange.utils import dtype_to_arrow_c_fmt
# TODO: use ArrowSchema to get reference C-string.
# At the time, there is no way to access ArrowSchema holding a type format string
# from python. The only way to access it is to export the structure t... | 0 |
public_repos/pandas/pandas/tests | public_repos/pandas/pandas/tests/groupby/test_groupby_subclass.py | from datetime import datetime
import numpy as np
import pytest
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 BlockManager|Passing a SingleBlockManager:De... | 0 |
public_repos/pandas/pandas/tests | public_repos/pandas/pandas/tests/groupby/test_index_as_string.py | import numpy as np
import pytest
import pandas as pd
import pandas._testing as tm
@pytest.fixture(params=[["inner"], ["inner", "outer"]])
def frame(request):
levels = request.param
df = pd.DataFrame(
{
"outer": ["a", "a", "a", "b", "b", "b"],
"inner": [1, 2, 3, 1, 2, 3],
... | 0 |
public_repos/pandas/pandas/tests | public_repos/pandas/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 import (
Categorical,
DataFrame,
Grouper,
Series,
)
import pandas._testin... | 0 |
public_repos/pandas/pandas/tests | public_repos/pandas/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
import pandas as pd
from pandas import (
DataFrame,
MultiIndex,
Series,
Timestamp,
date_range,
isna,
)
import pandas._testing as tm
from pandas.util i... | 0 |
public_repos/pandas/pandas/tests | public_repos/pandas/pandas/tests/groupby/test_function.py | import re
import numpy as np
import pytest
from pandas._libs import lib
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:
# make sure that w... | 0 |
public_repos/pandas/pandas/tests | public_repos/pandas/pandas/tests/groupby/test_apply.py | from datetime import (
date,
datetime,
)
import numpy as np
import pytest
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_args
def test_apply_func_that_appends_g... | 0 |
public_repos/pandas/pandas/tests | public_repos/pandas/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... | 0 |
public_repos/pandas/pandas/tests | public_repos/pandas/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... | 0 |
public_repos/pandas/pandas/tests | public_repos/pandas/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", "... | 0 |
public_repos/pandas/pandas/tests | public_repos/pandas/pandas/tests/groupby/test_timegrouper.py | """
test with the TimeGrouper / grouping with datetimes
"""
from datetime import (
datetime,
timedelta,
)
import numpy as np
import pytest
import pytz
import pandas as pd
from pandas import (
DataFrame,
DatetimeIndex,
Index,
MultiIndex,
Series,
Timestamp,
date_range,
offsets,
)... | 0 |
public_repos/pandas/pandas/tests | public_repos/pandas/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):
... | 0 |
public_repos/pandas/pandas/tests | public_repos/pandas/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
import pandas as pd
from pandas import (
CategoricalIndex,
DataFrame,
Grouper,
Index,
MultiIndex,
Series,
Timestamp,
date_ran... | 0 |
public_repos/pandas/pandas/tests | public_repos/pandas/pandas/tests/groupby/test_missing.py | import numpy as np
import pytest
import pandas as pd
from pandas import (
DataFrame,
Index,
date_range,
)
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 = Data... | 0 |
public_repos/pandas/pandas/tests | public_repos/pandas/pandas/tests/groupby/test_apply_mutate.py | import numpy as np
import pandas as pd
import pandas._testing as tm
def test_group_by_copy():
# GH#44803
df = pd.DataFrame(
{
"name": ["Alice", "Bob", "Carl"],
"age": [20, 21, 20],
}
).set_index("name")
msg = "DataFrameGroupBy.apply operated on the grouping co... | 0 |
public_repos/pandas/pandas/tests | public_repos/pandas/pandas/tests/groupby/conftest.py | import numpy as np
import pytest
from pandas import DataFrame
import pandas._testing as tm
from pandas.core.groupby.base import (
reduction_kernels,
transformation_kernels,
)
@pytest.fixture(params=[True, False])
def sort(request):
return request.param
@pytest.fixture(params=[True, False])
def as_index... | 0 |
public_repos/pandas/pandas/tests | public_repos/pandas/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]... | 0 |
public_repos/pandas/pandas/tests | public_repos/pandas/pandas/tests/groupby/test_bin_groupby.py | import numpy as np
import pytest
from pandas._libs import lib
import pandas.util._test_decorators as td
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... | 0 |
public_repos/pandas/pandas/tests | public_repos/pandas/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... | 0 |
public_repos/pandas/pandas/tests | public_repos/pandas/pandas/tests/groupby/test_groupby.py | from datetime import datetime
from decimal import Decimal
import re
import numpy as np
import pytest
from pandas.errors import (
PerformanceWarning,
SpecificationError,
)
import pandas.util._test_decorators as td
import pandas as pd
from pandas import (
Categorical,
DataFrame,
Grouper,
Index,... | 0 |
public_repos/pandas/pandas/tests | public_repos/pandas/pandas/tests/groupby/test_numba.py | import pytest
from pandas import (
DataFrame,
Series,
option_context,
)
import pandas._testing as tm
pytestmark = pytest.mark.single_cpu
pytest.importorskip("numba")
@pytest.mark.filterwarnings("ignore")
# Filter warnings when parallel=True and the function can't be parallelized by Numba
class TestEngi... | 0 |
public_repos/pandas/pandas/tests | public_repos/pandas/pandas/tests/groupby/test_categorical.py | from datetime import datetime
import numpy as np
import pytest
import pandas as pd
from pandas import (
Categorical,
CategoricalIndex,
DataFrame,
Index,
MultiIndex,
Series,
qcut,
)
import pandas._testing as tm
from pandas.api.typing import SeriesGroupBy
from pandas.tests.groupby import get... | 0 |
public_repos/pandas/pandas/tests | public_repos/pandas/pandas/tests/groupby/test_groupby_dropna.py | import numpy as np
import pytest
from pandas.compat.pyarrow import pa_version_under10p1
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(
"dropna, tuples, outputs",
[
... | 0 |
public_repos/pandas/pandas/tests | public_repos/pandas/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", "fillna"),
it is often the case that arguments are required for certain methods.
Parameters
----------
name: str
Name of the ... | 0 |
public_repos/pandas/pandas/tests | public_repos/pandas/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"]... | 0 |
public_repos/pandas/pandas/tests/groupby | public_repos/pandas/pandas/tests/groupby/transform/test_transform.py | """ test with the .transform """
import numpy as np
import pytest
from pandas._libs import lib
from pandas.core.dtypes.common import ensure_platform_int
import pandas as pd
from pandas import (
Categorical,
DataFrame,
MultiIndex,
Series,
Timestamp,
concat,
date_range,
)
import pandas._tes... | 0 |
public_repos/pandas/pandas/tests/groupby | public_repos/pandas/pandas/tests/groupby/transform/test_numba.py | import numpy as np
import pytest
from pandas.errors import NumbaUtilError
from pandas import (
DataFrame,
Series,
option_context,
)
import pandas._testing as tm
pytestmark = pytest.mark.single_cpu
def test_correct_function_signature():
pytest.importorskip("numba")
def incorrect_function(x):
... | 0 |
public_repos/pandas/pandas/tests/groupby | public_repos/pandas/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
... | 0 |
public_repos/pandas/pandas/tests/groupby | public_repos/pandas/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 re
import numpy as np
import pytest
from pandas.errors import SpecificationError
from pandas.core.dtypes.common import is_integer_dtype
import pandas as pd
from ... | 0 |
public_repos/pandas/pandas/tests/groupby | public_repos/pandas/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... | 0 |
public_repos/pandas/pandas/tests/groupby | public_repos/pandas/pandas/tests/groupby/aggregate/test_numba.py | import numpy as np
import pytest
from pandas.errors import NumbaUtilError
from pandas import (
DataFrame,
Index,
NamedAgg,
Series,
option_context,
)
import pandas._testing as tm
pytestmark = pytest.mark.single_cpu
def test_correct_function_signature():
pytest.importorskip("numba")
def ... | 0 |
public_repos/pandas/pandas/tests/groupby | public_repos/pandas/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)
... | 0 |
public_repos/pandas/pandas/tests/groupby | public_repos/pandas/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... | 0 |
public_repos/pandas/pandas/tests/groupby | public_repos/pandas/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... | 0 |
public_repos/pandas/pandas/tests/groupby | public_repos/pandas/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... | 0 |
public_repos/pandas/pandas/tests/groupby | public_repos/pandas/pandas/tests/groupby/methods/test_describe.py | import numpy as np
import pytest
import pandas as pd
from pandas import (
DataFrame,
Index,
MultiIndex,
Timestamp,
)
import pandas._testing as tm
def test_apply_describe_bug(mframe):
grouped = mframe.groupby(level="first")
grouped.describe() # it works!
def test_series_describe_multikey():... | 0 |
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