68 lines
2.0 KiB
Python
68 lines
2.0 KiB
Python
import numpy as np
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import pytest
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from pandas import (
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DataFrame,
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Series,
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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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# See also:
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# test_tz_convert_and_localize in test_tz_convert
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def test_tz_localize(self, frame_or_series):
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rng = date_range("1/1/2011", periods=100, freq="H")
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obj = DataFrame({"a": 1}, index=rng)
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obj = tm.get_obj(obj, frame_or_series)
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result = obj.tz_localize("utc")
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expected = DataFrame({"a": 1}, rng.tz_localize("UTC"))
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expected = tm.get_obj(expected, frame_or_series)
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assert result.index.tz.zone == "UTC"
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tm.assert_equal(result, expected)
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def test_tz_localize_axis1(self):
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rng = date_range("1/1/2011", periods=100, freq="H")
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df = DataFrame({"a": 1}, index=rng)
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df = df.T
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result = df.tz_localize("utc", axis=1)
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assert result.columns.tz.zone == "UTC"
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expected = DataFrame({"a": 1}, rng.tz_localize("UTC"))
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tm.assert_frame_equal(result, expected.T)
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def test_tz_localize_naive(self, frame_or_series):
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# Can't localize if already tz-aware
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rng = date_range("1/1/2011", periods=100, freq="H", tz="utc")
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ts = Series(1, index=rng)
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ts = frame_or_series(ts)
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with pytest.raises(TypeError, match="Already tz-aware"):
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ts.tz_localize("US/Eastern")
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@pytest.mark.parametrize("copy", [True, False])
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def test_tz_localize_copy_inplace_mutate(self, copy, frame_or_series):
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# GH#6326
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obj = frame_or_series(
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np.arange(0, 5), index=date_range("20131027", periods=5, freq="1H", tz=None)
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)
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orig = obj.copy()
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result = obj.tz_localize("UTC", copy=copy)
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expected = frame_or_series(
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np.arange(0, 5),
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index=date_range("20131027", periods=5, freq="1H", tz="UTC"),
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)
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tm.assert_equal(result, expected)
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tm.assert_equal(obj, orig)
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assert result.index is not obj.index
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assert result is not obj
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