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from datetime import datetime
import pytest
import pandas as pd
from pandas import (
Series,
date_range,
)
import pandas._testing as tm
class TestTruncate:
def test_truncate_datetimeindex_tz(self):
# GH 9243
idx = date_range("4/1/2005", "4/30/2005", freq="D", tz="US/Pacific")
s = Series(range(len(idx)), index=idx)
with pytest.raises(TypeError, match="Cannot compare tz-naive"):
# GH#36148 as of 2.0 we require tzawareness compat
s.truncate(datetime(2005, 4, 2), datetime(2005, 4, 4))
lb = idx[1]
ub = idx[3]
result = s.truncate(lb.to_pydatetime(), ub.to_pydatetime())
expected = Series([1, 2, 3], index=idx[1:4])
tm.assert_series_equal(result, expected)
def test_truncate_periodindex(self):
# GH 17717
idx1 = pd.PeriodIndex(
[pd.Period("2017-09-02"), pd.Period("2017-09-02"), pd.Period("2017-09-03")]
)
series1 = Series([1, 2, 3], index=idx1)
result1 = series1.truncate(after="2017-09-02")
expected_idx1 = pd.PeriodIndex(
[pd.Period("2017-09-02"), pd.Period("2017-09-02")]
)
tm.assert_series_equal(result1, Series([1, 2], index=expected_idx1))
idx2 = pd.PeriodIndex(
[pd.Period("2017-09-03"), pd.Period("2017-09-02"), pd.Period("2017-09-03")]
)
series2 = Series([1, 2, 3], index=idx2)
result2 = series2.sort_index().truncate(after="2017-09-02")
expected_idx2 = pd.PeriodIndex([pd.Period("2017-09-02")])
tm.assert_series_equal(result2, Series([2], index=expected_idx2))
def test_truncate_one_element_series(self):
# GH 35544
series = Series([0.1], index=pd.DatetimeIndex(["2020-08-04"]))
before = pd.Timestamp("2020-08-02")
after = pd.Timestamp("2020-08-04")
result = series.truncate(before=before, after=after)
# the input Series and the expected Series are the same
tm.assert_series_equal(result, series)
def test_truncate_index_only_one_unique_value(self):
# GH 42365
obj = Series(0, index=date_range("2021-06-30", "2021-06-30")).repeat(5)
truncated = obj.truncate("2021-06-28", "2021-07-01")
tm.assert_series_equal(truncated, obj)