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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/groupby | public_repos/pandas/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, ... | 0 |
public_repos/pandas/pandas/tests/groupby | public_repos/pandas/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... | 0 |
public_repos/pandas/pandas/tests/groupby | public_repos/pandas/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, ... | 0 |
public_repos/pandas/pandas/tests/groupby | public_repos/pandas/pandas/tests/groupby/methods/test_corrwith.py | import numpy as np
from pandas import (
DataFrame,
Index,
Series,
)
import pandas._testing as tm
def test_corrwith_with_1_axis():
# GH 47723
df = DataFrame({"a": [1, 1, 2], "b": [3, 7, 4]})
gb = df.groupby("a")
msg = "DataFrameGroupBy.corrwith with axis=1 is deprecated"
with tm.asser... | 0 |
public_repos/pandas/pandas/tests/groupby | public_repos/pandas/pandas/tests/groupby/methods/test_size.py | import numpy as np
import pytest
import pandas.util._test_decorators as td
from pandas.core.dtypes.common import is_integer_dtype
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):
... | 0 |
public_repos/pandas/pandas/tests/groupby | public_repos/pandas/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
import pandas.util._test_decorators as td
from pandas import (
Categorical,
CategoricalIndex,
... | 0 |
public_repos/pandas/pandas/tests/groupby | public_repos/pandas/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... | 0 |
public_repos/pandas/pandas/tests | public_repos/pandas/pandas/tests/tslibs/test_timedeltas.py | import re
import numpy as np
import pytest
from pandas._libs.tslibs.timedeltas import (
array_to_timedelta64,
delta_to_nanoseconds,
ints_to_pytimedelta,
)
from pandas import (
Timedelta,
offsets,
)
import pandas._testing as tm
@pytest.mark.parametrize(
"obj,expected",
[
(np.time... | 0 |
public_repos/pandas/pandas/tests | public_repos/pandas/pandas/tests/tslibs/test_np_datetime.py | import numpy as np
import pytest
from pandas._libs.tslibs.dtypes import NpyDatetimeUnit
from pandas._libs.tslibs.np_datetime import (
OutOfBoundsDatetime,
OutOfBoundsTimedelta,
astype_overflowsafe,
is_unitless,
py_get_unit_from_dtype,
py_td64_to_tdstruct,
)
import pandas._testing as tm
def t... | 0 |
public_repos/pandas/pandas/tests | public_repos/pandas/pandas/tests/tslibs/test_to_offset.py | import re
import pytest
from pandas._libs.tslibs import (
Timedelta,
offsets,
to_offset,
)
@pytest.mark.parametrize(
"freq_input,expected",
[
(to_offset("10us"), offsets.Micro(10)),
(offsets.Hour(), offsets.Hour()),
("2h30min", offsets.Minute(150)),
("2h 30min", o... | 0 |
public_repos/pandas/pandas/tests | public_repos/pandas/pandas/tests/tslibs/test_ccalendar.py | from datetime import (
date,
datetime,
)
from hypothesis import given
import numpy as np
import pytest
from pandas._libs.tslibs import ccalendar
from pandas._testing._hypothesis import DATETIME_IN_PD_TIMESTAMP_RANGE_NO_TZ
@pytest.mark.parametrize(
"date_tuple,expected",
[
((2001, 3, 1), 60)... | 0 |
public_repos/pandas/pandas/tests | public_repos/pandas/pandas/tests/tslibs/test_timezones.py | from datetime import (
datetime,
timedelta,
timezone,
)
import dateutil.tz
import pytest
import pytz
from pandas._libs.tslibs import (
conversion,
timezones,
)
from pandas.compat import is_platform_windows
from pandas import Timestamp
def test_is_utc(utc_fixture):
tz = timezones.maybe_get_t... | 0 |
public_repos/pandas/pandas/tests | public_repos/pandas/pandas/tests/tslibs/test_array_to_datetime.py | from datetime import (
date,
datetime,
timedelta,
timezone,
)
from dateutil.tz.tz import tzoffset
import numpy as np
import pytest
from pandas._libs import (
NaT,
iNaT,
tslib,
)
from pandas._libs.tslibs.dtypes import NpyDatetimeUnit
from pandas._libs.tslibs.np_datetime import OutOfBoundsDa... | 0 |
public_repos/pandas/pandas/tests | public_repos/pandas/pandas/tests/tslibs/test_libfrequencies.py | import pytest
from pandas._libs.tslibs.parsing import get_rule_month
from pandas.tseries import offsets
@pytest.mark.parametrize(
"obj,expected",
[
("W", "DEC"),
(offsets.Week().freqstr, "DEC"),
("D", "DEC"),
(offsets.Day().freqstr, "DEC"),
("Q", "DEC"),
(offs... | 0 |
public_repos/pandas/pandas/tests | public_repos/pandas/pandas/tests/tslibs/test_npy_units.py | import numpy as np
from pandas._libs.tslibs.dtypes import abbrev_to_npy_unit
from pandas._libs.tslibs.vectorized import is_date_array_normalized
# a datetime64 ndarray which *is* normalized
day_arr = np.arange(10, dtype="i8").view("M8[D]")
class TestIsDateArrayNormalized:
def test_is_date_array_normalized_day(s... | 0 |
public_repos/pandas/pandas/tests | public_repos/pandas/pandas/tests/tslibs/test_liboffsets.py | """
Tests for helper functions in the cython tslibs.offsets
"""
from datetime import datetime
import pytest
from pandas._libs.tslibs.ccalendar import (
get_firstbday,
get_lastbday,
)
import pandas._libs.tslibs.offsets as liboffsets
from pandas._libs.tslibs.offsets import roll_qtrday
from pandas import Timest... | 0 |
public_repos/pandas/pandas/tests | public_repos/pandas/pandas/tests/tslibs/test_resolution.py | import numpy as np
import pytz
from pandas._libs.tslibs import (
Resolution,
get_resolution,
)
from pandas._libs.tslibs.dtypes import NpyDatetimeUnit
def test_get_resolution_nano():
# don't return the fallback RESO_DAY
arr = np.array([1], dtype=np.int64)
res = get_resolution(arr)
assert res =... | 0 |
public_repos/pandas/pandas/tests | public_repos/pandas/pandas/tests/tslibs/test_period_asfreq.py | import numpy as np
import pytest
from pandas._libs.tslibs import (
iNaT,
to_offset,
)
from pandas._libs.tslibs.period import (
extract_ordinals,
period_asfreq,
period_ordinal,
)
import pandas._testing as tm
def get_freq_code(freqstr: str) -> int:
off = to_offset(freqstr, is_period=True)
... | 0 |
public_repos/pandas/pandas/tests | public_repos/pandas/pandas/tests/tslibs/test_conversion.py | from datetime import datetime
import numpy as np
import pytest
from pytz import UTC
from pandas._libs.tslibs import (
OutOfBoundsTimedelta,
astype_overflowsafe,
conversion,
iNaT,
timezones,
tz_convert_from_utc,
tzconversion,
)
from pandas import (
Timestamp,
date_range,
)
import p... | 0 |
public_repos/pandas/pandas/tests | public_repos/pandas/pandas/tests/tslibs/test_strptime.py | from datetime import (
datetime,
timezone,
)
import numpy as np
import pytest
from pandas._libs.tslibs.dtypes import NpyDatetimeUnit
from pandas._libs.tslibs.strptime import array_strptime
from pandas import Timestamp
import pandas._testing as tm
creso_infer = NpyDatetimeUnit.NPY_FR_GENERIC.value
class Te... | 0 |
public_repos/pandas/pandas/tests | public_repos/pandas/pandas/tests/tslibs/test_api.py | """Tests that the tslibs API is locked down"""
from pandas._libs import tslibs
def test_namespace():
submodules = [
"base",
"ccalendar",
"conversion",
"dtypes",
"fields",
"nattype",
"np_datetime",
"offsets",
"parsing",
"period",
... | 0 |
public_repos/pandas/pandas/tests | public_repos/pandas/pandas/tests/tslibs/test_fields.py | import numpy as np
import pytest
from pandas._libs.tslibs import fields
import pandas._testing as tm
@pytest.fixture
def dtindex():
dtindex = np.arange(5, dtype=np.int64) * 10**9 * 3600 * 24 * 32
dtindex.flags.writeable = False
return dtindex
def test_get_date_name_field_readonly(dtindex):
# https... | 0 |
public_repos/pandas/pandas/tests | public_repos/pandas/pandas/tests/tslibs/test_parsing.py | """
Tests for Timestamp parsing, aimed at pandas/_libs/tslibs/parsing.pyx
"""
from datetime import datetime
import re
from dateutil.parser import parse as du_parse
from dateutil.tz import tzlocal
import numpy as np
import pytest
from pandas._libs.tslibs import (
parsing,
strptime,
)
from pandas._libs.tslibs.p... | 0 |
public_repos/pandas/pandas/tests | public_repos/pandas/pandas/tests/tslibs/test_tzconversion.py | import numpy as np
import pytest
import pytz
from pandas._libs.tslibs.tzconversion import tz_localize_to_utc
class TestTZLocalizeToUTC:
def test_tz_localize_to_utc_ambiguous_infer(self):
# val is a timestamp that is ambiguous when localized to US/Eastern
val = 1_320_541_200_000_000_000
va... | 0 |
public_repos/pandas/pandas/tests | public_repos/pandas/pandas/tests/tslibs/test_parse_iso8601.py | from datetime import datetime
import pytest
from pandas._libs import tslib
from pandas import Timestamp
@pytest.mark.parametrize(
"date_str, exp",
[
("2011-01-02", datetime(2011, 1, 2)),
("2011-1-2", datetime(2011, 1, 2)),
("2011-01", datetime(2011, 1, 1)),
("2011-1", dateti... | 0 |
public_repos/pandas/pandas/tests/tseries | public_repos/pandas/pandas/tests/tseries/holiday/test_federal.py | from datetime import datetime
from pandas import DatetimeIndex
import pandas._testing as tm
from pandas.tseries.holiday import (
AbstractHolidayCalendar,
USFederalHolidayCalendar,
USMartinLutherKingJr,
USMemorialDay,
)
def test_no_mlk_before_1986():
# see gh-10278
class MLKCalendar(AbstractH... | 0 |
public_repos/pandas/pandas/tests/tseries | public_repos/pandas/pandas/tests/tseries/holiday/test_holiday.py | from datetime import datetime
import pytest
from pytz import utc
from pandas import (
DatetimeIndex,
Series,
)
import pandas._testing as tm
from pandas.tseries.holiday import (
MO,
SA,
AbstractHolidayCalendar,
DateOffset,
EasterMonday,
GoodFriday,
Holiday,
HolidayCalendarFacto... | 0 |
public_repos/pandas/pandas/tests/tseries | public_repos/pandas/pandas/tests/tseries/holiday/test_observance.py | from datetime import datetime
import pytest
from pandas.tseries.holiday import (
after_nearest_workday,
before_nearest_workday,
nearest_workday,
next_monday,
next_monday_or_tuesday,
next_workday,
previous_friday,
previous_workday,
sunday_to_monday,
weekend_to_monday,
)
_WEDNES... | 0 |
public_repos/pandas/pandas/tests/tseries | public_repos/pandas/pandas/tests/tseries/holiday/test_calendar.py | from datetime import datetime
import pytest
from pandas import (
DatetimeIndex,
offsets,
to_datetime,
)
import pandas._testing as tm
from pandas.tseries.holiday import (
AbstractHolidayCalendar,
Holiday,
Timestamp,
USFederalHolidayCalendar,
USLaborDay,
USThanksgivingDay,
get_c... | 0 |
public_repos/pandas/pandas/tests/tseries | public_repos/pandas/pandas/tests/tseries/frequencies/test_freq_code.py | import numpy as np
import pytest
from pandas._libs.tslibs import (
Period,
Resolution,
to_offset,
)
import pandas._testing as tm
@pytest.mark.parametrize(
"freqstr,exp_freqstr",
[("D", "D"), ("W", "D"), ("ME", "D"), ("s", "s"), ("min", "s"), ("h", "s")],
)
def test_get_to_timestamp_base(freqstr,... | 0 |
public_repos/pandas/pandas/tests/tseries | public_repos/pandas/pandas/tests/tseries/frequencies/test_frequencies.py | import pytest
from pandas._libs.tslibs import offsets
from pandas.tseries.frequencies import (
is_subperiod,
is_superperiod,
)
@pytest.mark.parametrize(
"p1,p2,expected",
[
# Input validation.
(offsets.MonthEnd(), None, False),
(offsets.YearEnd(), None, False),
(None,... | 0 |
public_repos/pandas/pandas/tests/tseries | public_repos/pandas/pandas/tests/tseries/frequencies/test_inference.py | from datetime import (
datetime,
timedelta,
)
import numpy as np
import pytest
from pandas._libs.tslibs.ccalendar import (
DAYS,
MONTHS,
)
from pandas._libs.tslibs.offsets import _get_offset
from pandas._libs.tslibs.period import INVALID_FREQ_ERR_MSG
from pandas.compat import is_platform_windows
from... | 0 |
public_repos/pandas/pandas/tests/tseries | public_repos/pandas/pandas/tests/tseries/offsets/test_business_year.py | """
Tests for the following offsets:
- BYearBegin
- BYearEnd
"""
from __future__ import annotations
from datetime import datetime
import pytest
from pandas.tests.tseries.offsets.common import (
assert_is_on_offset,
assert_offset_equal,
)
from pandas.tseries.offsets import (
BYearBegin,
BYearEnd,
)
... | 0 |
public_repos/pandas/pandas/tests/tseries | public_repos/pandas/pandas/tests/tseries/offsets/test_business_month.py | """
Tests for the following offsets:
- BMonthBegin
- BMonthEnd
"""
from __future__ import annotations
from datetime import datetime
import pytest
import pandas as pd
from pandas.tests.tseries.offsets.common import (
assert_is_on_offset,
assert_offset_equal,
)
from pandas.tseries.offsets import (
BMonthB... | 0 |
public_repos/pandas/pandas/tests/tseries | public_repos/pandas/pandas/tests/tseries/offsets/test_index.py | """
Tests for offset behavior with indices.
"""
import pytest
from pandas import (
Series,
date_range,
)
from pandas.tseries.offsets import (
BMonthBegin,
BMonthEnd,
BQuarterBegin,
BQuarterEnd,
BYearBegin,
BYearEnd,
MonthBegin,
MonthEnd,
QuarterBegin,
QuarterEnd,
Ye... | 0 |
public_repos/pandas/pandas/tests/tseries | public_repos/pandas/pandas/tests/tseries/offsets/test_dst.py | """
Tests for DateOffset additions over Daylight Savings Time
"""
from datetime import timedelta
import pytest
import pytz
from pandas._libs.tslibs import Timestamp
from pandas._libs.tslibs.offsets import (
BMonthBegin,
BMonthEnd,
BQuarterBegin,
BQuarterEnd,
BYearBegin,
BYearEnd,
CBMonthBe... | 0 |
public_repos/pandas/pandas/tests/tseries | public_repos/pandas/pandas/tests/tseries/offsets/test_business_quarter.py | """
Tests for the following offsets:
- BQuarterBegin
- BQuarterEnd
"""
from __future__ import annotations
from datetime import datetime
import pytest
from pandas.tests.tseries.offsets.common import (
assert_is_on_offset,
assert_offset_equal,
)
from pandas.tseries.offsets import (
BQuarterBegin,
BQua... | 0 |
public_repos/pandas/pandas/tests/tseries | public_repos/pandas/pandas/tests/tseries/offsets/test_year.py | """
Tests for the following offsets:
- YearBegin
- YearEnd
"""
from __future__ import annotations
from datetime import datetime
import numpy as np
import pytest
from pandas import Timestamp
from pandas.tests.tseries.offsets.common import (
assert_is_on_offset,
assert_offset_equal,
)
from pandas.tseries.offs... | 0 |
public_repos/pandas/pandas/tests/tseries | public_repos/pandas/pandas/tests/tseries/offsets/test_custom_business_day.py | """
Tests for offsets.CustomBusinessDay / CDay
"""
from datetime import (
datetime,
timedelta,
)
import numpy as np
import pytest
from pandas._libs.tslibs.offsets import CDay
from pandas import (
_testing as tm,
read_pickle,
)
from pandas.tests.tseries.offsets.common import assert_offset_equal
from ... | 0 |
public_repos/pandas/pandas/tests/tseries | public_repos/pandas/pandas/tests/tseries/offsets/common.py | """
Assertion helpers and base class for offsets tests
"""
from __future__ import annotations
def assert_offset_equal(offset, base, expected):
actual = offset + base
actual_swapped = base + offset
actual_apply = offset._apply(base)
try:
assert actual == expected
assert actual_swapped =... | 0 |
public_repos/pandas/pandas/tests/tseries | public_repos/pandas/pandas/tests/tseries/offsets/conftest.py | import datetime
import pytest
from pandas._libs.tslibs import Timestamp
from pandas._libs.tslibs.offsets import MonthOffset
from pandas.tseries import offsets
@pytest.fixture(
params=[
getattr(offsets, o) for o in offsets.__all__ if o not in ("Tick", "BaseOffset")
]
)
def offset_types(request):
... | 0 |
public_repos/pandas/pandas/tests/tseries | public_repos/pandas/pandas/tests/tseries/offsets/test_offsets.py | """
Tests of pandas.tseries.offsets
"""
from __future__ import annotations
from datetime import (
datetime,
timedelta,
)
import numpy as np
import pytest
from pandas._libs.tslibs import (
NaT,
Timedelta,
Timestamp,
conversion,
timezones,
)
import pandas._libs.tslibs.offsets as liboffsets
... | 0 |
public_repos/pandas/pandas/tests/tseries | public_repos/pandas/pandas/tests/tseries/offsets/test_business_hour.py | """
Tests for offsets.BusinessHour
"""
from __future__ import annotations
from datetime import (
datetime,
time as dt_time,
)
import pytest
from pandas._libs.tslibs import (
Timedelta,
Timestamp,
)
from pandas._libs.tslibs.offsets import (
BDay,
BusinessHour,
Nano,
)
from pandas import (... | 0 |
public_repos/pandas/pandas/tests/tseries | public_repos/pandas/pandas/tests/tseries/offsets/test_easter.py | """
Tests for the following offsets:
- Easter
"""
from __future__ import annotations
from datetime import datetime
import pytest
from pandas.tests.tseries.offsets.common import assert_offset_equal
from pandas.tseries.offsets import Easter
class TestEaster:
@pytest.mark.parametrize(
"offset,date,expect... | 0 |
public_repos/pandas/pandas/tests/tseries | public_repos/pandas/pandas/tests/tseries/offsets/test_common.py | from datetime import datetime
from dateutil.tz.tz import tzlocal
import pytest
from pandas._libs.tslibs import (
OutOfBoundsDatetime,
Timestamp,
)
from pandas.compat import (
IS64,
is_platform_windows,
)
from pandas.tseries.offsets import (
FY5253,
BDay,
BMonthBegin,
BMonthEnd,
BQ... | 0 |
public_repos/pandas/pandas/tests/tseries | public_repos/pandas/pandas/tests/tseries/offsets/test_fiscal.py | """
Tests for Fiscal Year and Fiscal Quarter offset classes
"""
from datetime import datetime
from dateutil.relativedelta import relativedelta
import pytest
from pandas import Timestamp
from pandas.tests.tseries.offsets.common import (
WeekDay,
assert_is_on_offset,
assert_offset_equal,
)
from pandas.tser... | 0 |
public_repos/pandas/pandas/tests/tseries | public_repos/pandas/pandas/tests/tseries/offsets/test_offsets_properties.py | """
Behavioral based tests for offsets and date_range.
This file is adapted from https://github.com/pandas-dev/pandas/pull/18761 -
which was more ambitious but less idiomatic in its use of Hypothesis.
You may wish to consult the previous version for inspiration on further
tests, or when trying to pin down the bugs ex... | 0 |
public_repos/pandas/pandas/tests/tseries | public_repos/pandas/pandas/tests/tseries/offsets/test_custom_business_hour.py | """
Tests for offsets.CustomBusinessHour
"""
from __future__ import annotations
from datetime import (
datetime,
time as dt_time,
)
import numpy as np
import pytest
from pandas._libs.tslibs import Timestamp
from pandas._libs.tslibs.offsets import (
BusinessHour,
CustomBusinessHour,
Nano,
)
from ... | 0 |
public_repos/pandas/pandas/tests/tseries | public_repos/pandas/pandas/tests/tseries/offsets/test_custom_business_month.py | """
Tests for the following offsets:
- CustomBusinessMonthBase
- CustomBusinessMonthBegin
- CustomBusinessMonthEnd
"""
from __future__ import annotations
from datetime import (
date,
datetime,
timedelta,
)
import numpy as np
import pytest
from pandas._libs.tslibs.offsets import (
CBMonthBegin,
CB... | 0 |
public_repos/pandas/pandas/tests/tseries | public_repos/pandas/pandas/tests/tseries/offsets/test_business_day.py | """
Tests for offsets.BDay
"""
from __future__ import annotations
from datetime import (
date,
datetime,
timedelta,
)
import numpy as np
import pytest
from pandas._libs.tslibs.offsets import (
ApplyTypeError,
BDay,
BMonthEnd,
)
from pandas import (
DatetimeIndex,
Timedelta,
_test... | 0 |
public_repos/pandas/pandas/tests/tseries | public_repos/pandas/pandas/tests/tseries/offsets/test_ticks.py | """
Tests for offsets.Tick and subclasses
"""
from datetime import (
datetime,
timedelta,
)
from hypothesis import (
assume,
example,
given,
)
import numpy as np
import pytest
from pandas._libs.tslibs.offsets import delta_to_tick
from pandas.errors import OutOfBoundsTimedelta
from pandas import (... | 0 |
public_repos/pandas/pandas/tests/tseries | public_repos/pandas/pandas/tests/tseries/offsets/test_week.py | """
Tests for the following offsets:
- Week
- WeekOfMonth
- LastWeekOfMonth
"""
from __future__ import annotations
from datetime import (
datetime,
timedelta,
)
import pytest
from pandas._libs.tslibs import Timestamp
from pandas._libs.tslibs.offsets import (
Day,
LastWeekOfMonth,
Week,
WeekOf... | 0 |
public_repos/pandas/pandas/tests/tseries | public_repos/pandas/pandas/tests/tseries/offsets/test_month.py | """
Tests for the following offsets:
- SemiMonthBegin
- SemiMonthEnd
- MonthBegin
- MonthEnd
"""
from __future__ import annotations
from datetime import datetime
import pytest
from pandas._libs.tslibs import Timestamp
from pandas._libs.tslibs.offsets import (
MonthBegin,
MonthEnd,
SemiMonthBegin,
Sem... | 0 |
public_repos/pandas/pandas/tests/tseries | public_repos/pandas/pandas/tests/tseries/offsets/test_quarter.py | """
Tests for the following offsets:
- QuarterBegin
- QuarterEnd
"""
from __future__ import annotations
from datetime import datetime
import pytest
from pandas.tests.tseries.offsets.common import (
assert_is_on_offset,
assert_offset_equal,
)
from pandas.tseries.offsets import (
QuarterBegin,
Quarter... | 0 |
public_repos/pandas/pandas/tests | public_repos/pandas/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_dtype_equal,
is_object_dtype,
)
import pandas as pd
from pandas import (
Index,
Series,
)
import pandas._testing as tm
def test_isnull_notnull_docstrings():
# GH#41855 make sur... | 0 |
public_repos/pandas/pandas/tests | public_repos/pandas/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
| 0 |
public_repos/pandas/pandas/tests | public_repos/pandas/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,... | 0 |
public_repos/pandas/pandas/tests | public_repos/pandas/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,
)
import pandas._testing as tm
from pandas.tests.base.common import ... | 0 |
public_repos/pandas/pandas/tests | public_repos/pandas/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... | 0 |
public_repos/pandas/pandas/tests | public_repos/pandas/pandas/tests/base/test_conversion.py | import numpy as np
import pytest
from pandas.core.dtypes.dtypes import DatetimeTZDtype
import pandas as pd
from pandas import (
CategoricalIndex,
Series,
Timedelta,
Timestamp,
date_range,
)
import pandas._testing as tm
from pandas.core.arrays import (
DatetimeArray,
IntervalArray,
Nump... | 0 |
public_repos/pandas/pandas/tests | public_repos/pandas/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' ... | 0 |
public_repos/pandas/pandas/tests | public_repos/pandas/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... | 0 |
public_repos/pandas/pandas/tests | public_repos/pandas/pandas/tests/arrays/test_timedeltas.py | from datetime import timedelta
import numpy as np
import pytest
import pandas as pd
from pandas import Timedelta
import pandas._testing as tm
from pandas.core.arrays import (
DatetimeArray,
TimedeltaArray,
)
class TestNonNano:
@pytest.fixture(params=["s", "ms", "us"])
def unit(self, request):
... | 0 |
public_repos/pandas/pandas/tests | public_repos/pandas/pandas/tests/arrays/test_datetimes.py | """
Tests for DatetimeArray
"""
from __future__ import annotations
from datetime import timedelta
import operator
try:
from zoneinfo import ZoneInfo
except ImportError:
# Cannot assign to a type
ZoneInfo = None # type: ignore[misc, assignment]
import numpy as np
import pytest
from pandas._libs.tslibs i... | 0 |
public_repos/pandas/pandas/tests | public_repos/pandas/pandas/tests/arrays/test_period.py | import numpy as np
import pytest
from pandas._libs.tslibs import iNaT
from pandas._libs.tslibs.period import IncompatibleFrequency
from pandas.core.dtypes.base import _registry as registry
from pandas.core.dtypes.dtypes import PeriodDtype
import pandas as pd
import pandas._testing as tm
from pandas.core.arrays impor... | 0 |
public_repos/pandas/pandas/tests | public_repos/pandas/pandas/tests/arrays/masked_shared.py | """
Tests shared by MaskedArray subclasses.
"""
import numpy as np
import pytest
import pandas as pd
import pandas._testing as tm
from pandas.tests.extension.base import BaseOpsUtil
class ComparisonOps(BaseOpsUtil):
def _compare_other(self, data, op, other):
# array
result = pd.Series(op(data, ot... | 0 |
public_repos/pandas/pandas/tests | public_repos/pandas/pandas/tests/arrays/test_datetimelike.py | from __future__ import annotations
import re
import warnings
import numpy as np
import pytest
from pandas._libs import (
NaT,
OutOfBoundsDatetime,
Timestamp,
)
from pandas._libs.tslibs.dtypes import freq_to_period_freqstr
import pandas as pd
from pandas import (
DatetimeIndex,
Period,
Period... | 0 |
public_repos/pandas/pandas/tests | public_repos/pandas/pandas/tests/arrays/test_ndarray_backed.py | """
Tests for subclasses of NDArrayBackedExtensionArray
"""
import numpy as np
from pandas import (
CategoricalIndex,
date_range,
)
from pandas.core.arrays import (
Categorical,
DatetimeArray,
NumpyExtensionArray,
TimedeltaArray,
)
class TestEmpty:
def test_empty_categorical(self):
... | 0 |
public_repos/pandas/pandas/tests | public_repos/pandas/pandas/tests/arrays/test_array.py | import datetime
import decimal
import re
import numpy as np
import pytest
import pytz
import pandas as pd
import pandas._testing as tm
from pandas.api.extensions import register_extension_dtype
from pandas.arrays import (
BooleanArray,
DatetimeArray,
FloatingArray,
IntegerArray,
IntervalArray,
... | 0 |
public_repos/pandas/pandas/tests/arrays | public_repos/pandas/pandas/tests/arrays/masked/test_function.py | import numpy as np
import pytest
from pandas.core.dtypes.common import is_integer_dtype
import pandas as pd
import pandas._testing as tm
arrays = [pd.array([1, 2, 3, None], dtype=dtype) for dtype in tm.ALL_INT_EA_DTYPES]
arrays += [
pd.array([0.141, -0.268, 5.895, None], dtype=dtype) for dtype in tm.FLOAT_EA_DTY... | 0 |
public_repos/pandas/pandas/tests/arrays | public_repos/pandas/pandas/tests/arrays/masked/test_arrow_compat.py | import numpy as np
import pytest
import pandas as pd
import pandas._testing as tm
pytestmark = pytest.mark.filterwarnings(
"ignore:Passing a BlockManager to DataFrame:DeprecationWarning"
)
pa = pytest.importorskip("pyarrow")
from pandas.core.arrays.arrow._arrow_utils import pyarrow_array_to_numpy_and_mask
arra... | 0 |
public_repos/pandas/pandas/tests/arrays | public_repos/pandas/pandas/tests/arrays/masked/test_indexing.py | import re
import numpy as np
import pytest
import pandas as pd
class TestSetitemValidation:
def _check_setitem_invalid(self, arr, invalid):
msg = f"Invalid value '{str(invalid)}' for dtype {arr.dtype}"
msg = re.escape(msg)
with pytest.raises(TypeError, match=msg):
arr[0] = in... | 0 |
public_repos/pandas/pandas/tests/arrays | public_repos/pandas/pandas/tests/arrays/masked/test_arithmetic.py | from __future__ import annotations
from typing import Any
import numpy as np
import pytest
import pandas as pd
import pandas._testing as tm
# integer dtypes
arrays = [pd.array([1, 2, 3, None], dtype=dtype) for dtype in tm.ALL_INT_EA_DTYPES]
scalars: list[Any] = [2] * len(arrays)
# floating dtypes
arrays += [pd.arra... | 0 |
public_repos/pandas/pandas/tests/arrays | public_repos/pandas/pandas/tests/arrays/period/test_reductions.py | import pytest
import pandas as pd
from pandas.core.arrays import period_array
class TestReductions:
def test_min_max(self):
arr = period_array(
[
"2000-01-03",
"2000-01-03",
"NaT",
"2000-01-02",
"2000-01-05",
... | 0 |
public_repos/pandas/pandas/tests/arrays | public_repos/pandas/pandas/tests/arrays/period/test_astype.py | import numpy as np
import pytest
from pandas.core.dtypes.dtypes import PeriodDtype
import pandas as pd
import pandas._testing as tm
from pandas.core.arrays import period_array
@pytest.mark.parametrize("dtype", [int, np.int32, np.int64, "uint32", "uint64"])
def test_astype_int(dtype):
# We choose to ignore the s... | 0 |
public_repos/pandas/pandas/tests/arrays | public_repos/pandas/pandas/tests/arrays/period/test_arrow_compat.py | import pytest
from pandas.compat.pyarrow import pa_version_under10p1
from pandas.core.dtypes.dtypes import PeriodDtype
import pandas as pd
import pandas._testing as tm
from pandas.core.arrays import (
PeriodArray,
period_array,
)
pytestmark = pytest.mark.filterwarnings(
"ignore:Passing a BlockManager to... | 0 |
public_repos/pandas/pandas/tests/arrays | public_repos/pandas/pandas/tests/arrays/period/test_constructors.py | import numpy as np
import pytest
from pandas._libs.tslibs import iNaT
from pandas._libs.tslibs.offsets import MonthEnd
from pandas._libs.tslibs.period import IncompatibleFrequency
import pandas as pd
import pandas._testing as tm
from pandas.core.arrays import (
PeriodArray,
period_array,
)
@pytest.mark.para... | 0 |
public_repos/pandas/pandas/tests/arrays | public_repos/pandas/pandas/tests/arrays/boolean/test_ops.py | import pandas as pd
import pandas._testing as tm
class TestUnaryOps:
def test_invert(self):
a = pd.array([True, False, None], dtype="boolean")
expected = pd.array([False, True, None], dtype="boolean")
tm.assert_extension_array_equal(~a, expected)
expected = pd.Series(expected, ind... | 0 |
public_repos/pandas/pandas/tests/arrays | public_repos/pandas/pandas/tests/arrays/boolean/test_function.py | import numpy as np
import pytest
import pandas as pd
import pandas._testing as tm
@pytest.mark.parametrize(
"ufunc", [np.add, np.logical_or, np.logical_and, np.logical_xor]
)
def test_ufuncs_binary(ufunc):
# two BooleanArrays
a = pd.array([True, False, None], dtype="boolean")
result = ufunc(a, a)
... | 0 |
public_repos/pandas/pandas/tests/arrays | public_repos/pandas/pandas/tests/arrays/boolean/test_repr.py | import pandas as pd
def test_repr():
df = pd.DataFrame({"A": pd.array([True, False, None], dtype="boolean")})
expected = " A\n0 True\n1 False\n2 <NA>"
assert repr(df) == expected
expected = "0 True\n1 False\n2 <NA>\nName: A, dtype: boolean"
assert repr(df.A) == expected
... | 0 |
public_repos/pandas/pandas/tests/arrays | public_repos/pandas/pandas/tests/arrays/boolean/test_comparison.py | import numpy as np
import pytest
import pandas as pd
import pandas._testing as tm
from pandas.arrays import BooleanArray
from pandas.tests.arrays.masked_shared import ComparisonOps
@pytest.fixture
def data():
"""Fixture returning boolean array with valid and missing data"""
return pd.array(
[True, Fa... | 0 |
public_repos/pandas/pandas/tests/arrays | public_repos/pandas/pandas/tests/arrays/boolean/test_astype.py | import numpy as np
import pytest
import pandas as pd
import pandas._testing as tm
def test_astype():
# with missing values
arr = pd.array([True, False, None], dtype="boolean")
with pytest.raises(ValueError, match="cannot convert NA to integer"):
arr.astype("int64")
with pytest.raises(ValueE... | 0 |
public_repos/pandas/pandas/tests/arrays | public_repos/pandas/pandas/tests/arrays/boolean/test_reduction.py | import numpy as np
import pytest
import pandas as pd
@pytest.fixture
def data():
"""Fixture returning boolean array, with valid and missing values."""
return pd.array(
[True, False] * 4 + [np.nan] + [True, False] * 44 + [np.nan] + [True, False],
dtype="boolean",
)
@pytest.mark.parametri... | 0 |
public_repos/pandas/pandas/tests/arrays | public_repos/pandas/pandas/tests/arrays/boolean/test_construction.py | import numpy as np
import pytest
import pandas as pd
import pandas._testing as tm
from pandas.arrays import BooleanArray
from pandas.core.arrays.boolean import coerce_to_array
def test_boolean_array_constructor():
values = np.array([True, False, True, False], dtype="bool")
mask = np.array([False, False, Fals... | 0 |
public_repos/pandas/pandas/tests/arrays | public_repos/pandas/pandas/tests/arrays/boolean/test_indexing.py | import numpy as np
import pytest
import pandas as pd
import pandas._testing as tm
@pytest.mark.parametrize("na", [None, np.nan, pd.NA])
def test_setitem_missing_values(na):
arr = pd.array([True, False, None], dtype="boolean")
expected = pd.array([True, None, None], dtype="boolean")
arr[1] = na
tm.ass... | 0 |
public_repos/pandas/pandas/tests/arrays | public_repos/pandas/pandas/tests/arrays/boolean/test_arithmetic.py | import operator
import numpy as np
import pytest
import pandas as pd
import pandas._testing as tm
@pytest.fixture
def data():
"""Fixture returning boolean array with valid and missing values."""
return pd.array(
[True, False] * 4 + [np.nan] + [True, False] * 44 + [np.nan] + [True, False],
dt... | 0 |
public_repos/pandas/pandas/tests/arrays | public_repos/pandas/pandas/tests/arrays/boolean/test_logical.py | import operator
import numpy as np
import pytest
import pandas as pd
import pandas._testing as tm
from pandas.arrays import BooleanArray
from pandas.core.ops.mask_ops import (
kleene_and,
kleene_or,
kleene_xor,
)
from pandas.tests.extension.base import BaseOpsUtil
class TestLogicalOps(BaseOpsUtil):
... | 0 |
public_repos/pandas/pandas/tests/arrays | public_repos/pandas/pandas/tests/arrays/integer/test_function.py | import numpy as np
import pytest
import pandas as pd
import pandas._testing as tm
from pandas.core.arrays import FloatingArray
@pytest.mark.parametrize("ufunc", [np.abs, np.sign])
# np.sign emits a warning with nans, <https://github.com/numpy/numpy/issues/15127>
@pytest.mark.filterwarnings("ignore:invalid value enco... | 0 |
public_repos/pandas/pandas/tests/arrays | public_repos/pandas/pandas/tests/arrays/integer/test_repr.py | import numpy as np
import pytest
import pandas as pd
from pandas.core.arrays.integer import (
Int8Dtype,
Int16Dtype,
Int32Dtype,
Int64Dtype,
UInt8Dtype,
UInt16Dtype,
UInt32Dtype,
UInt64Dtype,
)
def test_dtypes(dtype):
# smoke tests on auto dtype construction
if dtype.is_signe... | 0 |
public_repos/pandas/pandas/tests/arrays | public_repos/pandas/pandas/tests/arrays/integer/test_comparison.py | import pytest
import pandas as pd
import pandas._testing as tm
from pandas.tests.arrays.masked_shared import (
ComparisonOps,
NumericOps,
)
class TestComparisonOps(NumericOps, ComparisonOps):
@pytest.mark.parametrize("other", [True, False, pd.NA, -1, 0, 1])
def test_scalar(self, other, comparison_op,... | 0 |
public_repos/pandas/pandas/tests/arrays | public_repos/pandas/pandas/tests/arrays/integer/test_dtypes.py | import numpy as np
import pytest
from pandas.core.dtypes.generic import ABCIndex
import pandas as pd
import pandas._testing as tm
from pandas.core.arrays.integer import (
Int8Dtype,
UInt32Dtype,
)
def test_dtypes(dtype):
# smoke tests on auto dtype construction
if dtype.is_signed_integer:
a... | 0 |
public_repos/pandas/pandas/tests/arrays | public_repos/pandas/pandas/tests/arrays/integer/test_reduction.py | import numpy as np
import pytest
import pandas as pd
from pandas import (
DataFrame,
Series,
array,
)
import pandas._testing as tm
@pytest.mark.parametrize(
"op, expected",
[
["sum", np.int64(3)],
["prod", np.int64(2)],
["min", np.int64(1)],
["max", np.int64(2)],
... | 0 |
public_repos/pandas/pandas/tests/arrays | public_repos/pandas/pandas/tests/arrays/integer/test_concat.py | import numpy as np
import pytest
import pandas as pd
import pandas._testing as tm
@pytest.mark.parametrize(
"to_concat_dtypes, result_dtype",
[
(["Int64", "Int64"], "Int64"),
(["UInt64", "UInt64"], "UInt64"),
(["Int8", "Int8"], "Int8"),
(["Int8", "Int16"], "Int16"),
([... | 0 |
public_repos/pandas/pandas/tests/arrays | public_repos/pandas/pandas/tests/arrays/integer/conftest.py | import numpy as np
import pytest
import pandas as pd
from pandas.core.arrays.integer import (
Int8Dtype,
Int16Dtype,
Int32Dtype,
Int64Dtype,
UInt8Dtype,
UInt16Dtype,
UInt32Dtype,
UInt64Dtype,
)
@pytest.fixture(
params=[
Int8Dtype,
Int16Dtype,
Int32Dtype,
... | 0 |
public_repos/pandas/pandas/tests/arrays | public_repos/pandas/pandas/tests/arrays/integer/test_construction.py | import numpy as np
import pytest
import pandas as pd
import pandas._testing as tm
from pandas.api.types import is_integer
from pandas.core.arrays import IntegerArray
from pandas.core.arrays.integer import (
Int8Dtype,
Int32Dtype,
Int64Dtype,
)
@pytest.fixture(params=[pd.array, IntegerArray._from_sequence... | 0 |
public_repos/pandas/pandas/tests/arrays | public_repos/pandas/pandas/tests/arrays/integer/test_indexing.py | import pandas as pd
import pandas._testing as tm
def test_array_setitem_nullable_boolean_mask():
# GH 31446
ser = pd.Series([1, 2], dtype="Int64")
result = ser.where(ser > 1)
expected = pd.Series([pd.NA, 2], dtype="Int64")
tm.assert_series_equal(result, expected)
def test_array_setitem():
# ... | 0 |
public_repos/pandas/pandas/tests/arrays | public_repos/pandas/pandas/tests/arrays/integer/test_arithmetic.py | import operator
import numpy as np
import pytest
import pandas as pd
import pandas._testing as tm
from pandas.core import ops
from pandas.core.arrays import FloatingArray
# Basic test for the arithmetic array ops
# -----------------------------------------------------------------------------
@pytest.mark.parametri... | 0 |
public_repos/pandas/pandas/tests/arrays | public_repos/pandas/pandas/tests/arrays/categorical/test_repr.py | import numpy as np
from pandas import (
Categorical,
CategoricalDtype,
CategoricalIndex,
Series,
date_range,
option_context,
period_range,
timedelta_range,
)
class TestCategoricalReprWithFactor:
def test_print(self, factor):
expected = [
"['a', 'b', 'b', 'a', '... | 0 |
public_repos/pandas/pandas/tests/arrays | public_repos/pandas/pandas/tests/arrays/categorical/test_sorting.py | import numpy as np
import pytest
from pandas import (
Categorical,
Index,
)
import pandas._testing as tm
class TestCategoricalSort:
def test_argsort(self):
c = Categorical([5, 3, 1, 4, 2], ordered=True)
expected = np.array([2, 4, 1, 3, 0])
tm.assert_numpy_array_equal(
... | 0 |
public_repos/pandas/pandas/tests/arrays | public_repos/pandas/pandas/tests/arrays/categorical/test_subclass.py | from pandas import Categorical
import pandas._testing as tm
class TestCategoricalSubclassing:
def test_constructor(self):
sc = tm.SubclassedCategorical(["a", "b", "c"])
assert isinstance(sc, tm.SubclassedCategorical)
tm.assert_categorical_equal(sc, Categorical(["a", "b", "c"]))
def te... | 0 |
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