from datetime import datetime from dateutil.tz import tzlocal import pytest from pandas.compat import IS64 from pandas import ( DatetimeIndex, Index, bdate_range, date_range, ) import pandas._testing as tm START, END = datetime(2009, 1, 1), datetime(2010, 1, 1) class TestDatetimeIndexOps: @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("freq", ["B", "C"]) class TestBusinessDatetimeIndex: @pytest.fixture def rng(self, freq): return bdate_range(START, END, freq=freq) def test_comparison(self, rng): d = rng[10] comp = rng > d assert comp[11] assert not comp[9] def test_copy(self, rng): cp = rng.copy() repr(cp) tm.assert_index_equal(cp, rng) def test_identical(self, rng): t1 = rng.copy() t2 = 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)