Search is not available for this dataset
repo_id stringlengths 12 110 | file_path stringlengths 24 164 | content stringlengths 3 89.3M | __index_level_0__ int64 0 0 |
|---|---|---|---|
public_repos/pandas/pandas/tests/indexes/period | public_repos/pandas/pandas/tests/indexes/period/methods/test_fillna.py | from pandas import (
Index,
NaT,
Period,
PeriodIndex,
)
import pandas._testing as tm
class TestFillNA:
def test_fillna_period(self):
# GH#11343
idx = PeriodIndex(["2011-01-01 09:00", NaT, "2011-01-01 11:00"], freq="h")
exp = PeriodIndex(
["2011-01-01 09:00", "2... | 0 |
public_repos/pandas/pandas/tests/indexes/period | public_repos/pandas/pandas/tests/indexes/period/methods/test_insert.py | import numpy as np
import pytest
from pandas import (
NaT,
PeriodIndex,
period_range,
)
import pandas._testing as tm
class TestInsert:
@pytest.mark.parametrize("na", [np.nan, NaT, None])
def test_insert(self, na):
# GH#18295 (test missing)
expected = PeriodIndex(["2017Q1", NaT, "2... | 0 |
public_repos/pandas/pandas/tests/indexes/period | public_repos/pandas/pandas/tests/indexes/period/methods/test_shift.py | import numpy as np
import pytest
from pandas import (
PeriodIndex,
period_range,
)
import pandas._testing as tm
class TestPeriodIndexShift:
# ---------------------------------------------------------------
# PeriodIndex.shift is used by __add__ and __sub__
def test_pi_shift_ndarray(self):
... | 0 |
public_repos/pandas/pandas/tests/indexes/period | public_repos/pandas/pandas/tests/indexes/period/methods/test_asfreq.py | import pytest
from pandas import (
PeriodIndex,
Series,
period_range,
)
import pandas._testing as tm
class TestPeriodIndex:
def test_asfreq(self):
pi1 = period_range(freq="Y", start="1/1/2001", end="1/1/2001")
pi2 = period_range(freq="Q", start="1/1/2001", end="1/1/2001")
pi3 ... | 0 |
public_repos/pandas/pandas/tests/indexes/period | public_repos/pandas/pandas/tests/indexes/period/methods/test_to_timestamp.py | from datetime import datetime
import numpy as np
import pytest
from pandas import (
DatetimeIndex,
NaT,
PeriodIndex,
Timedelta,
Timestamp,
date_range,
period_range,
)
import pandas._testing as tm
class TestToTimestamp:
def test_to_timestamp_non_contiguous(self):
# GH#44100
... | 0 |
public_repos/pandas/pandas/tests/indexes | public_repos/pandas/pandas/tests/indexes/numeric/test_astype.py | import numpy as np
import pytest
from pandas import (
Index,
to_datetime,
to_timedelta,
)
import pandas._testing as tm
class TestAstype:
def test_astype_float64_to_uint64(self):
# GH#45309 used to incorrectly return Index with int64 dtype
idx = Index([0.0, 5.0, 10.0, 15.0, 20.0], dtyp... | 0 |
public_repos/pandas/pandas/tests/indexes | public_repos/pandas/pandas/tests/indexes/numeric/test_indexing.py | import numpy as np
import pytest
from pandas.errors import InvalidIndexError
from pandas import (
NA,
Index,
RangeIndex,
Series,
Timestamp,
)
import pandas._testing as tm
from pandas.core.arrays import (
ArrowExtensionArray,
FloatingArray,
)
@pytest.fixture
def index_large():
# large... | 0 |
public_repos/pandas/pandas/tests/indexes | public_repos/pandas/pandas/tests/indexes/numeric/test_setops.py | from datetime import (
datetime,
timedelta,
)
import numpy as np
import pytest
import pandas._testing as tm
from pandas.core.indexes.api import (
Index,
RangeIndex,
)
@pytest.fixture
def index_large():
# large values used in TestUInt64Index where no compat needed with int64/float64
large = [... | 0 |
public_repos/pandas/pandas/tests/indexes | public_repos/pandas/pandas/tests/indexes/numeric/test_numeric.py | import numpy as np
import pytest
import pandas as pd
from pandas import (
Index,
Series,
)
import pandas._testing as tm
class TestFloatNumericIndex:
@pytest.fixture(params=[np.float64, np.float32])
def dtype(self, request):
return request.param
@pytest.fixture
def simple_index(self, ... | 0 |
public_repos/pandas/pandas/tests/indexes | public_repos/pandas/pandas/tests/indexes/numeric/test_join.py | import numpy as np
import pytest
import pandas._testing as tm
from pandas.core.indexes.api import Index
class TestJoinInt64Index:
def test_join_non_unique(self):
left = Index([4, 4, 3, 3])
joined, lidx, ridx = left.join(left, return_indexers=True)
exp_joined = Index([4, 4, 4, 4, 3, 3, 3... | 0 |
public_repos/pandas/pandas/tests/indexes | public_repos/pandas/pandas/tests/indexes/datetimelike_/test_nat.py | import numpy as np
import pytest
from pandas import (
DatetimeIndex,
NaT,
PeriodIndex,
TimedeltaIndex,
)
import pandas._testing as tm
class NATests:
def test_nat(self, index_without_na):
empty_index = index_without_na[:0]
index_with_na = index_without_na.copy(deep=True)
i... | 0 |
public_repos/pandas/pandas/tests/indexes | public_repos/pandas/pandas/tests/indexes/datetimelike_/test_is_monotonic.py | from pandas import (
Index,
NaT,
date_range,
)
def test_is_monotonic_with_nat():
# GH#31437
# PeriodIndex.is_monotonic_increasing should behave analogously to DatetimeIndex,
# in particular never be monotonic when we have NaT
dti = date_range("2016-01-01", periods=3)
pi = dti.to_perio... | 0 |
public_repos/pandas/pandas/tests/indexes | public_repos/pandas/pandas/tests/indexes/datetimelike_/test_sort_values.py | import numpy as np
import pytest
from pandas import (
DatetimeIndex,
Index,
NaT,
PeriodIndex,
TimedeltaIndex,
timedelta_range,
)
import pandas._testing as tm
def check_freq_ascending(ordered, orig, ascending):
"""
Check the expected freq on a PeriodIndex/DatetimeIndex/TimedeltaIndex
... | 0 |
public_repos/pandas/pandas/tests/indexes | public_repos/pandas/pandas/tests/indexes/datetimelike_/test_equals.py | """
Tests shared for DatetimeIndex/TimedeltaIndex/PeriodIndex
"""
from datetime import (
datetime,
timedelta,
)
import numpy as np
import pytest
import pandas as pd
from pandas import (
CategoricalIndex,
DatetimeIndex,
Index,
PeriodIndex,
TimedeltaIndex,
date_range,
period_range,
)... | 0 |
public_repos/pandas/pandas/tests/indexes | public_repos/pandas/pandas/tests/indexes/datetimelike_/test_value_counts.py | import numpy as np
from pandas import (
DatetimeIndex,
NaT,
PeriodIndex,
Series,
TimedeltaIndex,
date_range,
period_range,
timedelta_range,
)
import pandas._testing as tm
class TestValueCounts:
# GH#7735
def test_value_counts_unique_datetimeindex(self, tz_naive_fixture):
... | 0 |
public_repos/pandas/pandas/tests/indexes | public_repos/pandas/pandas/tests/indexes/datetimelike_/test_indexing.py | import numpy as np
import pytest
import pandas as pd
from pandas import (
DatetimeIndex,
Index,
)
import pandas._testing as tm
dtlike_dtypes = [
np.dtype("timedelta64[ns]"),
np.dtype("datetime64[ns]"),
pd.DatetimeTZDtype("ns", "Asia/Tokyo"),
pd.PeriodDtype("ns"),
]
@pytest.mark.parametrize("... | 0 |
public_repos/pandas/pandas/tests/indexes | public_repos/pandas/pandas/tests/indexes/datetimelike_/test_drop_duplicates.py | import numpy as np
import pytest
from pandas import (
PeriodIndex,
Series,
date_range,
period_range,
timedelta_range,
)
import pandas._testing as tm
class DropDuplicates:
def test_drop_duplicates_metadata(self, idx):
# GH#10115
result = idx.drop_duplicates()
tm.assert_... | 0 |
public_repos/pandas/pandas/tests/indexes | public_repos/pandas/pandas/tests/indexes/object/test_astype.py | import pytest
from pandas import (
Index,
NaT,
Series,
)
import pandas._testing as tm
def test_astype_str_from_bytes():
# https://github.com/pandas-dev/pandas/issues/38607
# GH#49658 pre-2.0 Index called .values.astype(str) here, which effectively
# did a .decode() on the bytes object. In 2... | 0 |
public_repos/pandas/pandas/tests/indexes | public_repos/pandas/pandas/tests/indexes/object/test_indexing.py | from decimal import Decimal
import numpy as np
import pytest
from pandas._libs.missing import is_matching_na
import pandas as pd
from pandas import Index
import pandas._testing as tm
class TestGetIndexer:
@pytest.mark.parametrize(
"method,expected",
[
("pad", np.array([-1, 0, 1, 1],... | 0 |
public_repos/pandas/pandas/tests/indexes | public_repos/pandas/pandas/tests/indexes/categorical/test_astype.py | from datetime import date
import numpy as np
import pytest
from pandas import (
Categorical,
CategoricalDtype,
CategoricalIndex,
Index,
IntervalIndex,
)
import pandas._testing as tm
class TestAstype:
def test_astype(self):
ci = CategoricalIndex(list("aabbca"), categories=list("cab"),... | 0 |
public_repos/pandas/pandas/tests/indexes | public_repos/pandas/pandas/tests/indexes/categorical/test_formats.py | """
Tests for CategoricalIndex.__repr__ and related methods.
"""
import pandas._config.config as cf
from pandas import CategoricalIndex
import pandas._testing as tm
class TestCategoricalIndexRepr:
def test_format_different_scalar_lengths(self):
# GH#35439
idx = CategoricalIndex(["aaaaaaaaa", "b"]... | 0 |
public_repos/pandas/pandas/tests/indexes | public_repos/pandas/pandas/tests/indexes/categorical/test_reindex.py | import numpy as np
import pytest
from pandas import (
Categorical,
CategoricalIndex,
Index,
Interval,
)
import pandas._testing as tm
class TestReindex:
def test_reindex_list_non_unique(self):
# GH#11586
msg = "cannot reindex on an axis with duplicate labels"
ci = Categoric... | 0 |
public_repos/pandas/pandas/tests/indexes | public_repos/pandas/pandas/tests/indexes/categorical/test_equals.py | import numpy as np
import pytest
from pandas import (
Categorical,
CategoricalIndex,
Index,
MultiIndex,
)
class TestEquals:
def test_equals_categorical(self):
ci1 = CategoricalIndex(["a", "b"], categories=["a", "b"], ordered=True)
ci2 = CategoricalIndex(["a", "b"], categories=["a"... | 0 |
public_repos/pandas/pandas/tests/indexes | public_repos/pandas/pandas/tests/indexes/categorical/test_category.py | import numpy as np
import pytest
from pandas._libs import index as libindex
from pandas._libs.arrays import NDArrayBacked
import pandas as pd
from pandas import (
Categorical,
CategoricalDtype,
)
import pandas._testing as tm
from pandas.core.indexes.api import (
CategoricalIndex,
Index,
)
class Test... | 0 |
public_repos/pandas/pandas/tests/indexes | public_repos/pandas/pandas/tests/indexes/categorical/test_fillna.py | import numpy as np
import pytest
from pandas import CategoricalIndex
import pandas._testing as tm
class TestFillNA:
def test_fillna_categorical(self):
# GH#11343
idx = CategoricalIndex([1.0, np.nan, 3.0, 1.0], name="x")
# fill by value in categories
exp = CategoricalIndex([1.0, 1.... | 0 |
public_repos/pandas/pandas/tests/indexes | public_repos/pandas/pandas/tests/indexes/categorical/test_indexing.py | import numpy as np
import pytest
from pandas.errors import InvalidIndexError
import pandas as pd
from pandas import (
CategoricalIndex,
Index,
IntervalIndex,
Timestamp,
)
import pandas._testing as tm
class TestTake:
def test_take_fill_value(self):
# GH 12631
# numeric category
... | 0 |
public_repos/pandas/pandas/tests/indexes | public_repos/pandas/pandas/tests/indexes/categorical/test_append.py | import pytest
from pandas import (
CategoricalIndex,
Index,
)
import pandas._testing as tm
class TestAppend:
@pytest.fixture
def ci(self):
categories = list("cab")
return CategoricalIndex(list("aabbca"), categories=categories, ordered=False)
def test_append(self, ci):
# a... | 0 |
public_repos/pandas/pandas/tests/indexes | public_repos/pandas/pandas/tests/indexes/categorical/test_map.py | import numpy as np
import pytest
import pandas as pd
from pandas import (
CategoricalIndex,
Index,
Series,
)
import pandas._testing as tm
@pytest.mark.parametrize(
"data, categories",
[
(list("abcbca"), list("cab")),
(pd.interval_range(0, 3).repeat(3), pd.interval_range(0, 3)),
... | 0 |
public_repos/pandas/pandas/tests/indexes | public_repos/pandas/pandas/tests/indexes/categorical/test_constructors.py | import numpy as np
import pytest
from pandas import (
Categorical,
CategoricalDtype,
CategoricalIndex,
Index,
)
import pandas._testing as tm
class TestCategoricalIndexConstructors:
def test_construction_disallows_scalar(self):
msg = "must be called with a collection of some kind"
... | 0 |
public_repos/pandas/pandas/tests/indexes | public_repos/pandas/pandas/tests/indexes/datetimes/test_ops.py | from datetime import datetime
import pytest
from pandas import (
DatetimeIndex,
Index,
bdate_range,
date_range,
)
import pandas._testing as tm
START, END = datetime(2009, 1, 1), datetime(2010, 1, 1)
class TestDatetimeIndexOps:
def test_infer_freq(self, freq_sample):
# GH 11018
i... | 0 |
public_repos/pandas/pandas/tests/indexes | public_repos/pandas/pandas/tests/indexes/datetimes/test_freq_attr.py | import pytest
from pandas import (
DatetimeIndex,
date_range,
)
from pandas.tseries.offsets import (
BDay,
DateOffset,
Day,
Hour,
)
class TestFreq:
def test_freq_setter_errors(self):
# GH#20678
idx = DatetimeIndex(["20180101", "20180103", "20180105"])
# setting w... | 0 |
public_repos/pandas/pandas/tests/indexes | public_repos/pandas/pandas/tests/indexes/datetimes/test_iter.py | import dateutil.tz
import numpy as np
import pytest
from pandas import (
DatetimeIndex,
date_range,
to_datetime,
)
class TestDatetimeIndexIteration:
@pytest.mark.parametrize(
"tz", [None, "UTC", "US/Central", dateutil.tz.tzoffset(None, -28800)]
)
def test_iteration_preserves_nanosecon... | 0 |
public_repos/pandas/pandas/tests/indexes | public_repos/pandas/pandas/tests/indexes/datetimes/test_npfuncs.py | import numpy as np
from pandas import date_range
import pandas._testing as tm
class TestSplit:
def test_split_non_utc(self):
# GH#14042
indices = date_range("2016-01-01 00:00:00+0200", freq="s", periods=10)
result = np.split(indices, indices_or_sections=[])[0]
expected = indices._... | 0 |
public_repos/pandas/pandas/tests/indexes | public_repos/pandas/pandas/tests/indexes/datetimes/test_formats.py | from datetime import datetime
import dateutil.tz
import numpy as np
import pytest
import pytz
import pandas as pd
from pandas import (
DatetimeIndex,
NaT,
Series,
)
import pandas._testing as tm
@pytest.fixture(params=["s", "ms", "us", "ns"])
def unit(request):
return request.param
def test_get_val... | 0 |
public_repos/pandas/pandas/tests/indexes | public_repos/pandas/pandas/tests/indexes/datetimes/test_timezones.py | """
Tests for DatetimeIndex timezone-related methods
"""
from datetime import (
datetime,
timedelta,
timezone,
tzinfo,
)
from dateutil.tz import gettz
import numpy as np
import pytest
import pytz
from pandas._libs.tslibs import (
conversion,
timezones,
)
import pandas as pd
from pandas import... | 0 |
public_repos/pandas/pandas/tests/indexes | public_repos/pandas/pandas/tests/indexes/datetimes/test_reindex.py | from datetime import timedelta
import numpy as np
from pandas import (
DatetimeIndex,
date_range,
)
import pandas._testing as tm
class TestDatetimeIndexReindex:
def test_reindex_preserves_tz_if_target_is_empty_list_or_array(self):
# GH#7774
index = date_range("2013-01-01", periods=3, tz=... | 0 |
public_repos/pandas/pandas/tests/indexes | public_repos/pandas/pandas/tests/indexes/datetimes/test_pickle.py | import pytest
from pandas import (
NaT,
date_range,
to_datetime,
)
import pandas._testing as tm
class TestPickle:
def test_pickle(self):
# GH#4606
idx = to_datetime(["2013-01-01", NaT, "2014-01-06"])
idx_p = tm.round_trip_pickle(idx)
assert idx_p[0] == idx[0]
a... | 0 |
public_repos/pandas/pandas/tests/indexes | public_repos/pandas/pandas/tests/indexes/datetimes/test_indexing.py | from datetime import (
date,
datetime,
time,
timedelta,
)
import numpy as np
import pytest
from pandas._libs import index as libindex
from pandas.compat.numpy import np_long
import pandas as pd
from pandas import (
DatetimeIndex,
Index,
Timestamp,
bdate_range,
date_range,
notn... | 0 |
public_repos/pandas/pandas/tests/indexes | public_repos/pandas/pandas/tests/indexes/datetimes/test_setops.py | from datetime import (
datetime,
timezone,
)
import numpy as np
import pytest
import pytz
import pandas.util._test_decorators as td
import pandas as pd
from pandas import (
DataFrame,
DatetimeIndex,
Index,
Series,
Timestamp,
bdate_range,
date_range,
)
import pandas._testing as tm
... | 0 |
public_repos/pandas/pandas/tests/indexes | public_repos/pandas/pandas/tests/indexes/datetimes/test_partial_slicing.py | """ test partial slicing on Series/Frame """
from datetime import datetime
import numpy as np
import pytest
from pandas import (
DataFrame,
DatetimeIndex,
Index,
MultiIndex,
Series,
Timedelta,
Timestamp,
date_range,
)
import pandas._testing as tm
class TestSlicing:
def test_stri... | 0 |
public_repos/pandas/pandas/tests/indexes | public_repos/pandas/pandas/tests/indexes/datetimes/test_arithmetic.py | # Arithmetic tests specific to DatetimeIndex are generally about `freq`
# rentention or inference. Other arithmetic tests belong in
# tests/arithmetic/test_datetime64.py
import pytest
from pandas import (
Timedelta,
TimedeltaIndex,
Timestamp,
date_range,
timedelta_range,
)
import pandas._testing... | 0 |
public_repos/pandas/pandas/tests/indexes | public_repos/pandas/pandas/tests/indexes/datetimes/test_constructors.py | from __future__ import annotations
from datetime import (
datetime,
timedelta,
timezone,
)
from functools import partial
from operator import attrgetter
import dateutil
import dateutil.tz
from dateutil.tz import gettz
import numpy as np
import pytest
import pytz
from pandas._libs.tslibs import (
OutO... | 0 |
public_repos/pandas/pandas/tests/indexes | public_repos/pandas/pandas/tests/indexes/datetimes/test_date_range.py | """
test date_range, bdate_range construction from the convenience range functions
"""
from datetime import (
datetime,
time,
timedelta,
)
import re
import numpy as np
import pytest
import pytz
from pytz import timezone
from pandas._libs.tslibs import timezones
from pandas._libs.tslibs.offsets import (
... | 0 |
public_repos/pandas/pandas/tests/indexes | public_repos/pandas/pandas/tests/indexes/datetimes/test_scalar_compat.py | """
Tests for DatetimeIndex methods behaving like their Timestamp counterparts
"""
import calendar
from datetime import (
date,
datetime,
time,
)
import locale
import unicodedata
import numpy as np
import pytest
from pandas._libs.tslibs import timezones
from pandas import (
DatetimeIndex,
Index,... | 0 |
public_repos/pandas/pandas/tests/indexes | public_repos/pandas/pandas/tests/indexes/datetimes/test_datetime.py | import datetime as dt
from datetime import date
import re
import numpy as np
import pytest
from pandas.compat.numpy import np_long
import pandas as pd
from pandas import (
DataFrame,
DatetimeIndex,
Index,
Timestamp,
date_range,
offsets,
)
import pandas._testing as tm
class TestDatetimeIndex... | 0 |
public_repos/pandas/pandas/tests/indexes | public_repos/pandas/pandas/tests/indexes/datetimes/test_join.py | from datetime import (
datetime,
timezone,
)
import numpy as np
import pytest
from pandas import (
DatetimeIndex,
Index,
Timestamp,
date_range,
to_datetime,
)
import pandas._testing as tm
from pandas.tseries.offsets import (
BDay,
BMonthEnd,
)
class TestJoin:
def test_does_n... | 0 |
public_repos/pandas/pandas/tests/indexes/datetimes | public_repos/pandas/pandas/tests/indexes/datetimes/methods/test_to_julian_date.py | import numpy as np
from pandas import (
Index,
Timestamp,
date_range,
)
import pandas._testing as tm
class TestDateTimeIndexToJulianDate:
def test_1700(self):
dr = date_range(start=Timestamp("1710-10-01"), periods=5, freq="D")
r1 = Index([x.to_julian_date() for x in dr])
r2 = ... | 0 |
public_repos/pandas/pandas/tests/indexes/datetimes | public_repos/pandas/pandas/tests/indexes/datetimes/methods/test_factorize.py | import numpy as np
import pytest
from pandas import (
DatetimeIndex,
Index,
date_range,
factorize,
)
import pandas._testing as tm
class TestDatetimeIndexFactorize:
def test_factorize(self):
idx1 = DatetimeIndex(
["2014-01", "2014-01", "2014-02", "2014-02", "2014-03", "2014-03"... | 0 |
public_repos/pandas/pandas/tests/indexes/datetimes | public_repos/pandas/pandas/tests/indexes/datetimes/methods/test_isocalendar.py | from pandas import (
DataFrame,
DatetimeIndex,
)
import pandas._testing as tm
def test_isocalendar_returns_correct_values_close_to_new_year_with_tz():
# GH#6538: Check that DatetimeIndex and its TimeStamp elements
# return the same weekofyear accessor close to new year w/ tz
dates = ["2013/12/29",... | 0 |
public_repos/pandas/pandas/tests/indexes/datetimes | public_repos/pandas/pandas/tests/indexes/datetimes/methods/test_astype.py | from datetime import datetime
import dateutil
import numpy as np
import pytest
import pytz
import pandas as pd
from pandas import (
DatetimeIndex,
Index,
NaT,
PeriodIndex,
Timestamp,
date_range,
)
import pandas._testing as tm
class TestDatetimeIndex:
@pytest.mark.parametrize("tzstr", ["U... | 0 |
public_repos/pandas/pandas/tests/indexes/datetimes | public_repos/pandas/pandas/tests/indexes/datetimes/methods/test_to_pydatetime.py | from datetime import (
datetime,
timezone,
)
import dateutil.parser
import dateutil.tz
from dateutil.tz import tzlocal
import numpy as np
from pandas import (
DatetimeIndex,
date_range,
to_datetime,
)
import pandas._testing as tm
from pandas.tests.indexes.datetimes.test_timezones import FixedOffse... | 0 |
public_repos/pandas/pandas/tests/indexes/datetimes | public_repos/pandas/pandas/tests/indexes/datetimes/methods/test_repeat.py | import numpy as np
import pytest
from pandas import (
DatetimeIndex,
Timestamp,
date_range,
)
import pandas._testing as tm
class TestRepeat:
def test_repeat_range(self, tz_naive_fixture):
rng = date_range("1/1/2000", "1/1/2001")
result = rng.repeat(5)
assert result.freq is No... | 0 |
public_repos/pandas/pandas/tests/indexes/datetimes | public_repos/pandas/pandas/tests/indexes/datetimes/methods/test_unique.py | from datetime import (
datetime,
timedelta,
)
from pandas import (
DatetimeIndex,
NaT,
Timestamp,
)
import pandas._testing as tm
def test_unique(tz_naive_fixture):
idx = DatetimeIndex(["2017"] * 2, tz=tz_naive_fixture)
expected = idx[:1]
result = idx.unique()
tm.assert_index_equa... | 0 |
public_repos/pandas/pandas/tests/indexes/datetimes | public_repos/pandas/pandas/tests/indexes/datetimes/methods/test_snap.py | import pytest
from pandas import (
DatetimeIndex,
date_range,
)
import pandas._testing as tm
@pytest.mark.parametrize("tz", [None, "Asia/Shanghai", "Europe/Berlin"])
@pytest.mark.parametrize("name", [None, "my_dti"])
@pytest.mark.parametrize("unit", ["ns", "us", "ms", "s"])
def test_dti_snap(name, tz, unit):... | 0 |
public_repos/pandas/pandas/tests/indexes/datetimes | public_repos/pandas/pandas/tests/indexes/datetimes/methods/test_resolution.py | from dateutil.tz import tzlocal
import pytest
from pandas.compat import IS64
from pandas import date_range
@pytest.mark.parametrize(
"freq,expected",
[
("YE", "day"),
("QE", "day"),
("ME", "day"),
("D", "day"),
("h", "hour"),
("min", "minute"),
("s", "... | 0 |
public_repos/pandas/pandas/tests/indexes/datetimes | public_repos/pandas/pandas/tests/indexes/datetimes/methods/test_to_period.py | import dateutil.tz
from dateutil.tz import tzlocal
import pytest
import pytz
from pandas._libs.tslibs.ccalendar import MONTHS
from pandas._libs.tslibs.offsets import MonthEnd
from pandas._libs.tslibs.period import INVALID_FREQ_ERR_MSG
from pandas import (
DatetimeIndex,
Period,
PeriodIndex,
Timestamp,... | 0 |
public_repos/pandas/pandas/tests/indexes/datetimes | public_repos/pandas/pandas/tests/indexes/datetimes/methods/test_fillna.py | import pytest
import pandas as pd
import pandas._testing as tm
class TestDatetimeIndexFillNA:
@pytest.mark.parametrize("tz", ["US/Eastern", "Asia/Tokyo"])
def test_fillna_datetime64(self, tz):
# GH 11343
idx = pd.DatetimeIndex(["2011-01-01 09:00", pd.NaT, "2011-01-01 11:00"])
exp = p... | 0 |
public_repos/pandas/pandas/tests/indexes/datetimes | public_repos/pandas/pandas/tests/indexes/datetimes/methods/test_insert.py | from datetime import datetime
import numpy as np
import pytest
import pytz
from pandas import (
NA,
DatetimeIndex,
Index,
NaT,
Timestamp,
date_range,
)
import pandas._testing as tm
class TestInsert:
@pytest.mark.parametrize("null", [None, np.nan, np.datetime64("NaT"), NaT, NA])
@pyte... | 0 |
public_repos/pandas/pandas/tests/indexes/datetimes | public_repos/pandas/pandas/tests/indexes/datetimes/methods/test_asof.py | from datetime import timedelta
from pandas import (
Index,
Timestamp,
date_range,
isna,
)
import pandas._testing as tm
class TestAsOf:
def test_asof_partial(self):
index = date_range("2010-01-01", periods=2, freq="ME")
expected = Timestamp("2010-02-28")
result = index.asof... | 0 |
public_repos/pandas/pandas/tests/indexes/datetimes | public_repos/pandas/pandas/tests/indexes/datetimes/methods/test_map.py | import pytest
from pandas import (
DatetimeIndex,
Index,
MultiIndex,
Period,
date_range,
)
import pandas._testing as tm
class TestMap:
def test_map(self):
rng = date_range("1/1/2000", periods=10)
f = lambda x: x.strftime("%Y%m%d")
result = rng.map(f)
exp = Ind... | 0 |
public_repos/pandas/pandas/tests/indexes/datetimes | public_repos/pandas/pandas/tests/indexes/datetimes/methods/test_shift.py | from datetime import datetime
import pytest
import pytz
from pandas.errors import NullFrequencyError
import pandas as pd
from pandas import (
DatetimeIndex,
Series,
date_range,
)
import pandas._testing as tm
START, END = datetime(2009, 1, 1), datetime(2010, 1, 1)
class TestDatetimeIndexShift:
# --... | 0 |
public_repos/pandas/pandas/tests/indexes/datetimes | public_repos/pandas/pandas/tests/indexes/datetimes/methods/test_tz_localize.py | from datetime import (
datetime,
timedelta,
)
import dateutil.tz
from dateutil.tz import gettz
import numpy as np
import pytest
import pytz
from pandas import (
DatetimeIndex,
Timestamp,
bdate_range,
date_range,
offsets,
to_datetime,
)
import pandas._testing as tm
try:
from zonein... | 0 |
public_repos/pandas/pandas/tests/indexes/datetimes | public_repos/pandas/pandas/tests/indexes/datetimes/methods/test_to_frame.py | from pandas import (
DataFrame,
Index,
date_range,
)
import pandas._testing as tm
class TestToFrame:
def test_to_frame_datetime_tz(self):
# GH#25809
idx = date_range(start="2019-01-01", end="2019-01-30", freq="D", tz="UTC")
result = idx.to_frame()
expected = DataFrame(i... | 0 |
public_repos/pandas/pandas/tests/indexes/datetimes | public_repos/pandas/pandas/tests/indexes/datetimes/methods/test_normalize.py | from dateutil.tz import tzlocal
import numpy as np
import pytest
import pandas.util._test_decorators as td
from pandas import (
DatetimeIndex,
NaT,
Timestamp,
date_range,
)
import pandas._testing as tm
class TestNormalize:
def test_normalize(self):
rng = date_range("1/1/2000 9:30", perio... | 0 |
public_repos/pandas/pandas/tests/indexes/datetimes | public_repos/pandas/pandas/tests/indexes/datetimes/methods/test_delete.py | import pytest
from pandas import (
DatetimeIndex,
Series,
date_range,
)
import pandas._testing as tm
class TestDelete:
def test_delete(self, unit):
idx = date_range(
start="2000-01-01", periods=5, freq="ME", name="idx", unit=unit
)
# preserve freq
expected... | 0 |
public_repos/pandas/pandas/tests/indexes/datetimes | public_repos/pandas/pandas/tests/indexes/datetimes/methods/test_tz_convert.py | from datetime import datetime
import dateutil.tz
from dateutil.tz import gettz
import numpy as np
import pytest
import pytz
from pandas._libs.tslibs import timezones
from pandas import (
DatetimeIndex,
Index,
NaT,
Timestamp,
date_range,
offsets,
)
import pandas._testing as tm
class TestTZCo... | 0 |
public_repos/pandas/pandas/tests/indexes/datetimes | public_repos/pandas/pandas/tests/indexes/datetimes/methods/test_to_series.py | import numpy as np
from pandas import (
DatetimeIndex,
Series,
)
import pandas._testing as tm
class TestToSeries:
def test_to_series(self):
naive = DatetimeIndex(["2013-1-1 13:00", "2013-1-2 14:00"], name="B")
idx = naive.tz_localize("US/Pacific")
expected = Series(np.array(idx.t... | 0 |
public_repos/pandas/pandas/tests/indexes/datetimes | public_repos/pandas/pandas/tests/indexes/datetimes/methods/test_round.py | import pytest
from pandas._libs.tslibs import to_offset
from pandas._libs.tslibs.offsets import INVALID_FREQ_ERR_MSG
from pandas import (
DatetimeIndex,
Timestamp,
date_range,
)
import pandas._testing as tm
class TestDatetimeIndexRound:
def test_round_daily(self):
dti = date_range("20130101 ... | 0 |
public_repos/pandas/pandas/tests/indexes | public_repos/pandas/pandas/tests/indexes/timedeltas/test_ops.py | from pandas import (
TimedeltaIndex,
timedelta_range,
)
import pandas._testing as tm
class TestTimedeltaIndexOps:
def test_infer_freq(self, freq_sample):
# GH#11018
idx = timedelta_range("1", freq=freq_sample, periods=10)
result = TimedeltaIndex(idx.asi8, freq="infer")
tm.a... | 0 |
public_repos/pandas/pandas/tests/indexes | public_repos/pandas/pandas/tests/indexes/timedeltas/test_freq_attr.py | import pytest
from pandas import TimedeltaIndex
from pandas.tseries.offsets import (
DateOffset,
Day,
Hour,
MonthEnd,
)
class TestFreq:
@pytest.mark.parametrize("values", [["0 days", "2 days", "4 days"], []])
@pytest.mark.parametrize("freq", ["2D", Day(2), "48h", Hour(48)])
def test_freq... | 0 |
public_repos/pandas/pandas/tests/indexes | public_repos/pandas/pandas/tests/indexes/timedeltas/test_timedelta.py | import numpy as np
import pytest
from pandas import (
Index,
Series,
Timedelta,
timedelta_range,
)
import pandas._testing as tm
class TestTimedeltaIndex:
def test_misc_coverage(self):
rng = timedelta_range("1 day", periods=5)
result = rng.groupby(rng.days)
assert isinstanc... | 0 |
public_repos/pandas/pandas/tests/indexes | public_repos/pandas/pandas/tests/indexes/timedeltas/test_formats.py | import pytest
import pandas as pd
from pandas import (
Series,
TimedeltaIndex,
)
class TestTimedeltaIndexRendering:
def test_repr_round_days_non_nano(self):
# GH#55405
# we should get "1 days", not "1 days 00:00:00" with non-nano
tdi = TimedeltaIndex(["1 days"], freq="D").as_unit(... | 0 |
public_repos/pandas/pandas/tests/indexes | public_repos/pandas/pandas/tests/indexes/timedeltas/test_timedelta_range.py | import numpy as np
import pytest
from pandas import (
Timedelta,
TimedeltaIndex,
timedelta_range,
to_timedelta,
)
import pandas._testing as tm
from pandas.tseries.offsets import (
Day,
Second,
)
class TestTimedeltas:
def test_timedelta_range_unit(self):
# GH#49824
tdi = t... | 0 |
public_repos/pandas/pandas/tests/indexes | public_repos/pandas/pandas/tests/indexes/timedeltas/test_pickle.py | from pandas import timedelta_range
import pandas._testing as tm
class TestPickle:
def test_pickle_after_set_freq(self):
tdi = timedelta_range("1 day", periods=4, freq="s")
tdi = tdi._with_freq(None)
res = tm.round_trip_pickle(tdi)
tm.assert_index_equal(res, tdi)
| 0 |
public_repos/pandas/pandas/tests/indexes | public_repos/pandas/pandas/tests/indexes/timedeltas/test_indexing.py | from datetime import datetime
import re
import numpy as np
import pytest
from pandas import (
Index,
NaT,
Timedelta,
TimedeltaIndex,
Timestamp,
notna,
offsets,
timedelta_range,
to_timedelta,
)
import pandas._testing as tm
class TestGetItem:
def test_getitem_slice_keeps_name(s... | 0 |
public_repos/pandas/pandas/tests/indexes | public_repos/pandas/pandas/tests/indexes/timedeltas/test_setops.py | import numpy as np
import pytest
import pandas as pd
from pandas import (
Index,
TimedeltaIndex,
timedelta_range,
)
import pandas._testing as tm
from pandas.tseries.offsets import Hour
class TestTimedeltaIndex:
def test_union(self):
i1 = timedelta_range("1day", periods=5)
i2 = timede... | 0 |
public_repos/pandas/pandas/tests/indexes | public_repos/pandas/pandas/tests/indexes/timedeltas/test_searchsorted.py | import numpy as np
import pytest
from pandas import (
TimedeltaIndex,
Timestamp,
)
import pandas._testing as tm
class TestSearchSorted:
def test_searchsorted_different_argument_classes(self, listlike_box):
idx = TimedeltaIndex(["1 day", "2 days", "3 days"])
result = idx.searchsorted(listl... | 0 |
public_repos/pandas/pandas/tests/indexes | public_repos/pandas/pandas/tests/indexes/timedeltas/test_arithmetic.py | # Arithmetic tests for TimedeltaIndex are generally about the result's `freq` attribute.
# Other cases can be shared in tests.arithmetic.test_timedelta64
import numpy as np
from pandas import (
NaT,
Timedelta,
timedelta_range,
)
import pandas._testing as tm
class TestTimedeltaIndexArithmetic:
def tes... | 0 |
public_repos/pandas/pandas/tests/indexes | public_repos/pandas/pandas/tests/indexes/timedeltas/test_constructors.py | from datetime import timedelta
import numpy as np
import pytest
import pandas as pd
from pandas import (
Timedelta,
TimedeltaIndex,
timedelta_range,
to_timedelta,
)
import pandas._testing as tm
from pandas.core.arrays.timedeltas import TimedeltaArray
class TestTimedeltaIndex:
def test_closed_dep... | 0 |
public_repos/pandas/pandas/tests/indexes | public_repos/pandas/pandas/tests/indexes/timedeltas/test_scalar_compat.py | """
Tests for TimedeltaIndex methods behaving like their Timedelta counterparts
"""
import numpy as np
import pytest
from pandas._libs.tslibs.offsets import INVALID_FREQ_ERR_MSG
from pandas import (
Index,
Series,
Timedelta,
TimedeltaIndex,
timedelta_range,
)
import pandas._testing as tm
class ... | 0 |
public_repos/pandas/pandas/tests/indexes | public_repos/pandas/pandas/tests/indexes/timedeltas/test_delete.py | from pandas import (
TimedeltaIndex,
timedelta_range,
)
import pandas._testing as tm
class TestTimedeltaIndexDelete:
def test_delete(self):
idx = timedelta_range(start="1 Days", periods=5, freq="D", name="idx")
# preserve freq
expected_0 = timedelta_range(start="2 Days", periods=4... | 0 |
public_repos/pandas/pandas/tests/indexes | public_repos/pandas/pandas/tests/indexes/timedeltas/test_join.py | import numpy as np
from pandas import (
Index,
Timedelta,
timedelta_range,
)
import pandas._testing as tm
class TestJoin:
def test_append_join_nondatetimeindex(self):
rng = timedelta_range("1 days", periods=10)
idx = Index(["a", "b", "c", "d"])
result = rng.append(idx)
... | 0 |
public_repos/pandas/pandas/tests/indexes/timedeltas | public_repos/pandas/pandas/tests/indexes/timedeltas/methods/test_factorize.py | import numpy as np
from pandas import (
TimedeltaIndex,
factorize,
timedelta_range,
)
import pandas._testing as tm
class TestTimedeltaIndexFactorize:
def test_factorize(self):
idx1 = TimedeltaIndex(["1 day", "1 day", "2 day", "2 day", "3 day", "3 day"])
exp_arr = np.array([0, 0, 1, 1... | 0 |
public_repos/pandas/pandas/tests/indexes/timedeltas | public_repos/pandas/pandas/tests/indexes/timedeltas/methods/test_astype.py | from datetime import timedelta
import numpy as np
import pytest
import pandas as pd
from pandas import (
Index,
NaT,
Timedelta,
TimedeltaIndex,
timedelta_range,
)
import pandas._testing as tm
from pandas.core.arrays import TimedeltaArray
class TestTimedeltaIndex:
def test_astype_object(self)... | 0 |
public_repos/pandas/pandas/tests/indexes/timedeltas | public_repos/pandas/pandas/tests/indexes/timedeltas/methods/test_repeat.py | import numpy as np
from pandas import (
TimedeltaIndex,
timedelta_range,
)
import pandas._testing as tm
class TestRepeat:
def test_repeat(self):
index = timedelta_range("1 days", periods=2, freq="D")
exp = TimedeltaIndex(["1 days", "1 days", "2 days", "2 days"])
for res in [index.... | 0 |
public_repos/pandas/pandas/tests/indexes/timedeltas | public_repos/pandas/pandas/tests/indexes/timedeltas/methods/test_fillna.py | from pandas import (
Index,
NaT,
Timedelta,
TimedeltaIndex,
)
import pandas._testing as tm
class TestFillNA:
def test_fillna_timedelta(self):
# GH#11343
idx = TimedeltaIndex(["1 day", NaT, "3 day"])
exp = TimedeltaIndex(["1 day", "2 day", "3 day"])
tm.assert_index_... | 0 |
public_repos/pandas/pandas/tests/indexes/timedeltas | public_repos/pandas/pandas/tests/indexes/timedeltas/methods/test_insert.py | from datetime import timedelta
import numpy as np
import pytest
from pandas._libs import lib
import pandas as pd
from pandas import (
Index,
Timedelta,
TimedeltaIndex,
timedelta_range,
)
import pandas._testing as tm
class TestTimedeltaIndexInsert:
def test_insert(self):
idx = TimedeltaI... | 0 |
public_repos/pandas/pandas/tests/indexes/timedeltas | public_repos/pandas/pandas/tests/indexes/timedeltas/methods/test_shift.py | import pytest
from pandas.errors import NullFrequencyError
import pandas as pd
from pandas import TimedeltaIndex
import pandas._testing as tm
class TestTimedeltaIndexShift:
# -------------------------------------------------------------
# TimedeltaIndex.shift is used by __add__/__sub__
def test_tdi_shi... | 0 |
public_repos/pandas/pandas/tests/indexes | public_repos/pandas/pandas/tests/indexes/interval/test_interval_tree.py | from itertools import permutations
import numpy as np
import pytest
from pandas._libs.interval import IntervalTree
from pandas.compat import IS64
import pandas._testing as tm
def skipif_32bit(param):
"""
Skip parameters in a parametrize on 32bit systems. Specifically used
here to skip leaf_size paramet... | 0 |
public_repos/pandas/pandas/tests/indexes | public_repos/pandas/pandas/tests/indexes/interval/test_astype.py | import re
import numpy as np
import pytest
from pandas.core.dtypes.dtypes import (
CategoricalDtype,
IntervalDtype,
)
from pandas import (
CategoricalIndex,
Index,
IntervalIndex,
NaT,
Timedelta,
Timestamp,
interval_range,
)
import pandas._testing as tm
class AstypeTests:
"""... | 0 |
public_repos/pandas/pandas/tests/indexes | public_repos/pandas/pandas/tests/indexes/interval/test_formats.py | import numpy as np
import pytest
from pandas import (
DataFrame,
Index,
Interval,
IntervalIndex,
Series,
Timedelta,
Timestamp,
)
import pandas._testing as tm
class TestIntervalIndexRendering:
# TODO: this is a test for DataFrame/Series, not IntervalIndex
@pytest.mark.parametrize(
... | 0 |
public_repos/pandas/pandas/tests/indexes | public_repos/pandas/pandas/tests/indexes/interval/test_interval_range.py | from datetime import timedelta
import numpy as np
import pytest
from pandas.core.dtypes.common import is_integer
from pandas import (
DateOffset,
Interval,
IntervalIndex,
Timedelta,
Timestamp,
date_range,
interval_range,
timedelta_range,
)
import pandas._testing as tm
from pandas.tse... | 0 |
public_repos/pandas/pandas/tests/indexes | public_repos/pandas/pandas/tests/indexes/interval/test_equals.py | import numpy as np
from pandas import (
IntervalIndex,
date_range,
)
class TestEquals:
def test_equals(self, closed):
expected = IntervalIndex.from_breaks(np.arange(5), closed=closed)
assert expected.equals(expected)
assert expected.equals(expected.copy())
assert not expe... | 0 |
public_repos/pandas/pandas/tests/indexes | public_repos/pandas/pandas/tests/indexes/interval/test_base.py | import numpy as np
import pytest
from pandas import IntervalIndex
import pandas._testing as tm
class TestInterval:
"""
Tests specific to the shared common index tests; unrelated tests should be placed
in test_interval.py or the specific test file (e.g. test_astype.py)
"""
@pytest.fixture
def... | 0 |
public_repos/pandas/pandas/tests/indexes | public_repos/pandas/pandas/tests/indexes/interval/test_pickle.py | import pytest
from pandas import IntervalIndex
import pandas._testing as tm
class TestPickle:
@pytest.mark.parametrize("closed", ["left", "right", "both"])
def test_pickle_round_trip_closed(self, closed):
# https://github.com/pandas-dev/pandas/issues/35658
idx = IntervalIndex.from_tuples([(1,... | 0 |
public_repos/pandas/pandas/tests/indexes | public_repos/pandas/pandas/tests/indexes/interval/test_indexing.py | import re
import numpy as np
import pytest
from pandas.errors import InvalidIndexError
from pandas import (
NA,
CategoricalIndex,
DatetimeIndex,
Index,
Interval,
IntervalIndex,
MultiIndex,
NaT,
Timedelta,
Timestamp,
array,
date_range,
interval_range,
period_ran... | 0 |
public_repos/pandas/pandas/tests/indexes | public_repos/pandas/pandas/tests/indexes/interval/test_setops.py | import numpy as np
import pytest
from pandas import (
Index,
IntervalIndex,
Timestamp,
interval_range,
)
import pandas._testing as tm
def monotonic_index(start, end, dtype="int64", closed="right"):
return IntervalIndex.from_breaks(np.arange(start, end, dtype=dtype), closed=closed)
def empty_ind... | 0 |
public_repos/pandas/pandas/tests/indexes | public_repos/pandas/pandas/tests/indexes/interval/test_constructors.py | from functools import partial
import numpy as np
import pytest
from pandas.core.dtypes.dtypes import IntervalDtype
from pandas import (
Categorical,
CategoricalDtype,
CategoricalIndex,
Index,
Interval,
IntervalIndex,
date_range,
notna,
period_range,
timedelta_range,
)
import p... | 0 |
public_repos/pandas/pandas/tests/indexes | public_repos/pandas/pandas/tests/indexes/interval/test_join.py | import pytest
from pandas import (
IntervalIndex,
MultiIndex,
RangeIndex,
)
import pandas._testing as tm
@pytest.fixture
def range_index():
return RangeIndex(3, name="range_index")
@pytest.fixture
def interval_index():
return IntervalIndex.from_tuples(
[(0.0, 1.0), (1.0, 2.0), (1.5, 2.5... | 0 |
public_repos/pandas/pandas/tests/indexes | public_repos/pandas/pandas/tests/indexes/interval/test_interval.py | from itertools import permutations
import re
import numpy as np
import pytest
import pandas as pd
from pandas import (
Index,
Interval,
IntervalIndex,
Timedelta,
Timestamp,
date_range,
interval_range,
isna,
notna,
timedelta_range,
)
import pandas._testing as tm
import pandas.co... | 0 |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.