12345678910111213141516171819202122232425262728293031323334353637383940414243444546474849505152535455565758596061 |
- import pytest
- from pandas import (
- DatetimeIndex,
- date_range,
- )
- from pandas.tseries.offsets import (
- BDay,
- DateOffset,
- Day,
- Hour,
- )
- class TestFreq:
- def test_freq_setter_errors(self):
- # GH#20678
- idx = DatetimeIndex(["20180101", "20180103", "20180105"])
- # setting with an incompatible freq
- msg = (
- "Inferred frequency 2D from passed values does not conform to "
- "passed frequency 5D"
- )
- with pytest.raises(ValueError, match=msg):
- idx._data.freq = "5D"
- # setting with non-freq string
- with pytest.raises(ValueError, match="Invalid frequency"):
- idx._data.freq = "foo"
- @pytest.mark.parametrize("values", [["20180101", "20180103", "20180105"], []])
- @pytest.mark.parametrize("freq", ["2D", Day(2), "2B", BDay(2), "48H", Hour(48)])
- @pytest.mark.parametrize("tz", [None, "US/Eastern"])
- def test_freq_setter(self, values, freq, tz):
- # GH#20678
- idx = DatetimeIndex(values, tz=tz)
- # can set to an offset, converting from string if necessary
- idx._data.freq = freq
- assert idx.freq == freq
- assert isinstance(idx.freq, DateOffset)
- # can reset to None
- idx._data.freq = None
- assert idx.freq is None
- def test_freq_view_safe(self):
- # Setting the freq for one DatetimeIndex shouldn't alter the freq
- # for another that views the same data
- dti = date_range("2016-01-01", periods=5)
- dta = dti._data
- dti2 = DatetimeIndex(dta)._with_freq(None)
- assert dti2.freq is None
- # Original was not altered
- assert dti.freq == "D"
- assert dta.freq == "D"
|