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