133 lines
4.6 KiB
Python
133 lines
4.6 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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Index,
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MultiIndex,
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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 TestTZConvert:
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def test_tz_convert(self, frame_or_series):
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rng = date_range("1/1/2011", periods=200, freq="D", tz="US/Eastern")
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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_convert("Europe/Berlin")
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expected = DataFrame({"a": 1}, rng.tz_convert("Europe/Berlin"))
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expected = tm.get_obj(expected, frame_or_series)
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assert result.index.tz.zone == "Europe/Berlin"
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tm.assert_equal(result, expected)
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def test_tz_convert_axis1(self):
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rng = date_range("1/1/2011", periods=200, freq="D", tz="US/Eastern")
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obj = DataFrame({"a": 1}, index=rng)
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obj = obj.T
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result = obj.tz_convert("Europe/Berlin", axis=1)
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assert result.columns.tz.zone == "Europe/Berlin"
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expected = DataFrame({"a": 1}, rng.tz_convert("Europe/Berlin"))
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tm.assert_equal(result, expected.T)
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def test_tz_convert_naive(self, frame_or_series):
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# can't convert tz-naive
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rng = date_range("1/1/2011", periods=200, freq="D")
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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="Cannot convert tz-naive"):
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ts.tz_convert("US/Eastern")
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@pytest.mark.parametrize("fn", ["tz_localize", "tz_convert"])
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def test_tz_convert_and_localize(self, fn):
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l0 = date_range("20140701", periods=5, freq="D")
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l1 = date_range("20140701", periods=5, freq="D")
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int_idx = Index(range(5))
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if fn == "tz_convert":
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l0 = l0.tz_localize("UTC")
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l1 = l1.tz_localize("UTC")
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for idx in [l0, l1]:
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l0_expected = getattr(idx, fn)("US/Pacific")
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l1_expected = getattr(idx, fn)("US/Pacific")
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df1 = DataFrame(np.ones(5), index=l0)
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df1 = getattr(df1, fn)("US/Pacific")
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tm.assert_index_equal(df1.index, l0_expected)
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# MultiIndex
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# GH7846
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df2 = DataFrame(np.ones(5), MultiIndex.from_arrays([l0, l1]))
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# freq is not preserved in MultiIndex construction
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l1_expected = l1_expected._with_freq(None)
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l0_expected = l0_expected._with_freq(None)
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l1 = l1._with_freq(None)
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l0 = l0._with_freq(None)
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df3 = getattr(df2, fn)("US/Pacific", level=0)
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assert not df3.index.levels[0].equals(l0)
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tm.assert_index_equal(df3.index.levels[0], l0_expected)
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tm.assert_index_equal(df3.index.levels[1], l1)
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assert not df3.index.levels[1].equals(l1_expected)
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df3 = getattr(df2, fn)("US/Pacific", level=1)
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tm.assert_index_equal(df3.index.levels[0], l0)
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assert not df3.index.levels[0].equals(l0_expected)
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tm.assert_index_equal(df3.index.levels[1], l1_expected)
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assert not df3.index.levels[1].equals(l1)
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df4 = DataFrame(np.ones(5), MultiIndex.from_arrays([int_idx, l0]))
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# TODO: untested
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df5 = getattr(df4, fn)("US/Pacific", level=1) # noqa
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tm.assert_index_equal(df3.index.levels[0], l0)
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assert not df3.index.levels[0].equals(l0_expected)
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tm.assert_index_equal(df3.index.levels[1], l1_expected)
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assert not df3.index.levels[1].equals(l1)
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# Bad Inputs
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# Not DatetimeIndex / PeriodIndex
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with pytest.raises(TypeError, match="DatetimeIndex"):
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df = DataFrame(index=int_idx)
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df = getattr(df, fn)("US/Pacific")
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# Not DatetimeIndex / PeriodIndex
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with pytest.raises(TypeError, match="DatetimeIndex"):
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df = DataFrame(np.ones(5), MultiIndex.from_arrays([int_idx, l0]))
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df = getattr(df, fn)("US/Pacific", level=0)
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# Invalid level
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with pytest.raises(ValueError, match="not valid"):
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df = DataFrame(index=l0)
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df = getattr(df, fn)("US/Pacific", level=1)
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@pytest.mark.parametrize("copy", [True, False])
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def test_tz_convert_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),
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index=date_range("20131027", periods=5, freq="1H", tz="Europe/Berlin"),
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)
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orig = obj.copy()
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result = obj.tz_convert("UTC", copy=copy)
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expected = frame_or_series(np.arange(0, 5), index=obj.index.tz_convert("UTC"))
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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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