from datetime import timezone import pytest import pytz from pandas._libs.tslibs import timezones from pandas import ( DatetimeIndex, NaT, Series, Timestamp, date_range, ) import pandas._testing as tm class TestTZLocalize: def test_series_tz_localize_ambiguous_bool(self): # make sure that we are correctly accepting bool values as ambiguous # GH#14402 ts = Timestamp("2015-11-01 01:00:03") expected0 = Timestamp("2015-11-01 01:00:03-0500", tz="US/Central") expected1 = Timestamp("2015-11-01 01:00:03-0600", tz="US/Central") ser = Series([ts]) expected0 = Series([expected0]) expected1 = Series([expected1]) with tm.external_error_raised(pytz.AmbiguousTimeError): ser.dt.tz_localize("US/Central") result = ser.dt.tz_localize("US/Central", ambiguous=True) tm.assert_series_equal(result, expected0) result = ser.dt.tz_localize("US/Central", ambiguous=[True]) tm.assert_series_equal(result, expected0) result = ser.dt.tz_localize("US/Central", ambiguous=False) tm.assert_series_equal(result, expected1) result = ser.dt.tz_localize("US/Central", ambiguous=[False]) tm.assert_series_equal(result, expected1) def test_series_tz_localize_matching_index(self): # Matching the index of the result with that of the original series # GH 43080 dt_series = Series( date_range(start="2021-01-01T02:00:00", periods=5, freq="1D"), index=[2, 6, 7, 8, 11], dtype="category", ) result = dt_series.dt.tz_localize("Europe/Berlin") expected = Series( date_range( start="2021-01-01T02:00:00", periods=5, freq="1D", tz="Europe/Berlin" ), index=[2, 6, 7, 8, 11], ) tm.assert_series_equal(result, expected) @pytest.mark.parametrize( "method, exp", [ ["shift_forward", "2015-03-29 03:00:00"], ["shift_backward", "2015-03-29 01:59:59.999999999"], ["NaT", NaT], ["raise", None], ["foo", "invalid"], ], ) def test_tz_localize_nonexistent(self, warsaw, method, exp, unit): # GH 8917 tz = warsaw n = 60 dti = date_range(start="2015-03-29 02:00:00", periods=n, freq="min", unit=unit) ser = Series(1, index=dti) df = ser.to_frame() if method == "raise": with tm.external_error_raised(pytz.NonExistentTimeError): dti.tz_localize(tz, nonexistent=method) with tm.external_error_raised(pytz.NonExistentTimeError): ser.tz_localize(tz, nonexistent=method) with tm.external_error_raised(pytz.NonExistentTimeError): df.tz_localize(tz, nonexistent=method) elif exp == "invalid": msg = ( "The nonexistent argument must be one of " "'raise', 'NaT', 'shift_forward', 'shift_backward' " "or a timedelta object" ) with pytest.raises(ValueError, match=msg): dti.tz_localize(tz, nonexistent=method) with pytest.raises(ValueError, match=msg): ser.tz_localize(tz, nonexistent=method) with pytest.raises(ValueError, match=msg): df.tz_localize(tz, nonexistent=method) else: result = ser.tz_localize(tz, nonexistent=method) expected = Series(1, index=DatetimeIndex([exp] * n, tz=tz).as_unit(unit)) tm.assert_series_equal(result, expected) result = df.tz_localize(tz, nonexistent=method) expected = expected.to_frame() tm.assert_frame_equal(result, expected) res_index = dti.tz_localize(tz, nonexistent=method) tm.assert_index_equal(res_index, expected.index) @pytest.mark.parametrize("tzstr", ["US/Eastern", "dateutil/US/Eastern"]) def test_series_tz_localize_empty(self, tzstr): # GH#2248 ser = Series(dtype=object) ser2 = ser.tz_localize("utc") assert ser2.index.tz == timezone.utc ser2 = ser.tz_localize(tzstr) timezones.tz_compare(ser2.index.tz, timezones.maybe_get_tz(tzstr))