from datetime import datetime from dateutil.tz import tzlocal import pytest from pandas.compat import IS64 from pandas import ( DateOffset, DatetimeIndex, Index, Series, bdate_range, date_range, ) import pandas._testing as tm from pandas.tseries.offsets import ( BDay, Day, Hour, ) START, END = datetime(2009, 1, 1), datetime(2010, 1, 1) class TestDatetimeIndexOps: def test_ops_properties_basic(self, datetime_series): # sanity check that the behavior didn't change # GH#7206 for op in ["year", "day", "second", "weekday"]: msg = f"'Series' object has no attribute '{op}'" with pytest.raises(AttributeError, match=msg): getattr(datetime_series, op) # attribute access should still work! s = Series({"year": 2000, "month": 1, "day": 10}) assert s.year == 2000 assert s.month == 1 assert s.day == 10 msg = "'Series' object has no attribute 'weekday'" with pytest.raises(AttributeError, match=msg): s.weekday @pytest.mark.parametrize( "freq,expected", [ ("A", "day"), ("Q", "day"), ("M", "day"), ("D", "day"), ("H", "hour"), ("T", "minute"), ("S", "second"), ("L", "millisecond"), ("U", "microsecond"), ], ) def test_resolution(self, request, tz_naive_fixture, freq, expected): tz = tz_naive_fixture if freq == "A" and not IS64 and isinstance(tz, tzlocal): request.node.add_marker( pytest.mark.xfail(reason="OverflowError inside tzlocal past 2038") ) idx = date_range(start="2013-04-01", periods=30, freq=freq, tz=tz) assert idx.resolution == expected def test_infer_freq(self, freq_sample): # GH 11018 idx = date_range("2011-01-01 09:00:00", freq=freq_sample, periods=10) result = DatetimeIndex(idx.asi8, freq="infer") tm.assert_index_equal(idx, result) assert result.freq == freq_sample @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_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" 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" class TestBusinessDatetimeIndex: def setup_method(self, method): self.rng = bdate_range(START, END) def test_comparison(self): d = self.rng[10] comp = self.rng > d assert comp[11] assert not comp[9] def test_copy(self): cp = self.rng.copy() repr(cp) tm.assert_index_equal(cp, self.rng) def test_identical(self): t1 = self.rng.copy() t2 = self.rng.copy() assert t1.identical(t2) # name t1 = t1.rename("foo") assert t1.equals(t2) assert not t1.identical(t2) t2 = t2.rename("foo") assert t1.identical(t2) # freq t2v = Index(t2.values) assert t1.equals(t2v) assert not t1.identical(t2v) class TestCustomDatetimeIndex: def setup_method(self, method): self.rng = bdate_range(START, END, freq="C") def test_comparison(self): d = self.rng[10] comp = self.rng > d assert comp[11] assert not comp[9] def test_copy(self): cp = self.rng.copy() repr(cp) tm.assert_index_equal(cp, self.rng)