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- 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)
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