from datetime import datetime 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 tm.assert_produces_warning(FutureWarning): # GH#36148 in the future will 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)