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| from datetime import datetime
|
| import pytest
|
| from pandas import (
| DatetimeIndex,
| Index,
| bdate_range,
| date_range,
| )
| import pandas._testing as tm
|
|
| class TestDatetimeIndexOps:
| 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):
| START, END = datetime(2009, 1, 1), datetime(2010, 1, 1)
| 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()
| 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)
|
|
