69 lines
2.3 KiB
Python
69 lines
2.3 KiB
Python
from pandas import TimedeltaIndex, timedelta_range
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import pandas._testing as tm
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class TestTimedeltaIndexDelete:
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def test_delete(self):
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idx = timedelta_range(start="1 Days", periods=5, freq="D", name="idx")
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# preserve freq
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expected_0 = timedelta_range(start="2 Days", periods=4, freq="D", name="idx")
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expected_4 = timedelta_range(start="1 Days", periods=4, freq="D", name="idx")
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# reset freq to None
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expected_1 = TimedeltaIndex(
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["1 day", "3 day", "4 day", "5 day"], freq=None, name="idx"
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)
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cases = {
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0: expected_0,
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-5: expected_0,
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-1: expected_4,
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4: expected_4,
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1: expected_1,
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}
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for n, expected in cases.items():
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result = idx.delete(n)
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tm.assert_index_equal(result, expected)
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assert result.name == expected.name
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assert result.freq == expected.freq
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with tm.external_error_raised((IndexError, ValueError)):
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# either depending on numpy version
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idx.delete(5)
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def test_delete_slice(self):
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idx = timedelta_range(start="1 days", periods=10, freq="D", name="idx")
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# preserve freq
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expected_0_2 = timedelta_range(start="4 days", periods=7, freq="D", name="idx")
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expected_7_9 = timedelta_range(start="1 days", periods=7, freq="D", name="idx")
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# reset freq to None
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expected_3_5 = TimedeltaIndex(
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["1 d", "2 d", "3 d", "7 d", "8 d", "9 d", "10d"], freq=None, name="idx"
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)
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cases = {
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(0, 1, 2): expected_0_2,
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(7, 8, 9): expected_7_9,
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(3, 4, 5): expected_3_5,
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}
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for n, expected in cases.items():
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result = idx.delete(n)
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tm.assert_index_equal(result, expected)
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assert result.name == expected.name
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assert result.freq == expected.freq
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result = idx.delete(slice(n[0], n[-1] + 1))
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tm.assert_index_equal(result, expected)
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assert result.name == expected.name
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assert result.freq == expected.freq
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def test_delete_doesnt_infer_freq(self):
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# GH#30655 behavior matches DatetimeIndex
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tdi = TimedeltaIndex(["1 Day", "2 Days", None, "3 Days", "4 Days"])
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result = tdi.delete(2)
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assert result.freq is None
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