62 lines
1.7 KiB
Python
62 lines
1.7 KiB
Python
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import pytest
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from pandas import (
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DatetimeIndex,
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date_range,
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)
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from pandas.tseries.offsets import (
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BDay,
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DateOffset,
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Day,
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Hour,
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)
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class TestFreq:
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def test_freq_setter_errors(self):
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# GH#20678
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idx = DatetimeIndex(["20180101", "20180103", "20180105"])
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# setting with an incompatible freq
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msg = (
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"Inferred frequency 2D from passed values does not conform to "
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"passed frequency 5D"
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)
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with pytest.raises(ValueError, match=msg):
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idx._data.freq = "5D"
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# setting with non-freq string
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with pytest.raises(ValueError, match="Invalid frequency"):
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idx._data.freq = "foo"
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@pytest.mark.parametrize("values", [["20180101", "20180103", "20180105"], []])
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@pytest.mark.parametrize("freq", ["2D", Day(2), "2B", BDay(2), "48h", Hour(48)])
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@pytest.mark.parametrize("tz", [None, "US/Eastern"])
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def test_freq_setter(self, values, freq, tz):
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# GH#20678
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idx = DatetimeIndex(values, tz=tz)
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# can set to an offset, converting from string if necessary
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idx._data.freq = freq
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assert idx.freq == freq
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assert isinstance(idx.freq, DateOffset)
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# can reset to None
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idx._data.freq = None
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assert idx.freq is None
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def test_freq_view_safe(self):
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# Setting the freq for one DatetimeIndex shouldn't alter the freq
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# for another that views the same data
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dti = date_range("2016-01-01", periods=5)
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dta = dti._data
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dti2 = DatetimeIndex(dta)._with_freq(None)
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assert dti2.freq is None
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# Original was not altered
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assert dti.freq == "D"
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assert dta.freq == "D"
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