120 lines
4.0 KiB
Python
120 lines
4.0 KiB
Python
from datetime import timedelta
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import numpy as np
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import pytest
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import pandas as pd
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from pandas import Index, Timedelta, TimedeltaIndex, timedelta_range
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import pandas._testing as tm
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class TestTimedeltaIndexInsert:
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def test_insert(self):
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idx = TimedeltaIndex(["4day", "1day", "2day"], name="idx")
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result = idx.insert(2, timedelta(days=5))
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exp = TimedeltaIndex(["4day", "1day", "5day", "2day"], name="idx")
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tm.assert_index_equal(result, exp)
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# insertion of non-datetime should coerce to object index
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result = idx.insert(1, "inserted")
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expected = Index(
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[Timedelta("4day"), "inserted", Timedelta("1day"), Timedelta("2day")],
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name="idx",
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)
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assert not isinstance(result, TimedeltaIndex)
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tm.assert_index_equal(result, expected)
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assert result.name == expected.name
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idx = timedelta_range("1day 00:00:01", periods=3, freq="s", name="idx")
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# preserve freq
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expected_0 = TimedeltaIndex(
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["1day", "1day 00:00:01", "1day 00:00:02", "1day 00:00:03"],
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name="idx",
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freq="s",
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)
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expected_3 = TimedeltaIndex(
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["1day 00:00:01", "1day 00:00:02", "1day 00:00:03", "1day 00:00:04"],
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name="idx",
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freq="s",
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)
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# reset freq to None
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expected_1_nofreq = TimedeltaIndex(
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["1day 00:00:01", "1day 00:00:01", "1day 00:00:02", "1day 00:00:03"],
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name="idx",
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freq=None,
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)
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expected_3_nofreq = TimedeltaIndex(
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["1day 00:00:01", "1day 00:00:02", "1day 00:00:03", "1day 00:00:05"],
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name="idx",
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freq=None,
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)
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cases = [
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(0, Timedelta("1day"), expected_0),
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(-3, Timedelta("1day"), expected_0),
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(3, Timedelta("1day 00:00:04"), expected_3),
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(1, Timedelta("1day 00:00:01"), expected_1_nofreq),
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(3, Timedelta("1day 00:00:05"), expected_3_nofreq),
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]
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for n, d, expected in cases:
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result = idx.insert(n, d)
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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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@pytest.mark.parametrize(
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"null", [None, np.nan, np.timedelta64("NaT"), pd.NaT, pd.NA]
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)
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def test_insert_nat(self, null):
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# GH 18295 (test missing)
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idx = timedelta_range("1day", "3day")
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result = idx.insert(1, null)
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expected = TimedeltaIndex(["1day", pd.NaT, "2day", "3day"])
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tm.assert_index_equal(result, expected)
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def test_insert_invalid_na(self):
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idx = TimedeltaIndex(["4day", "1day", "2day"], name="idx")
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msg = r"value should be a 'Timedelta' or 'NaT'\. Got 'datetime64' instead\."
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with pytest.raises(TypeError, match=msg):
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idx.insert(0, np.datetime64("NaT"))
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@pytest.mark.parametrize(
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"item", [0, np.int64(0), np.float64(0), np.array(0), np.datetime64(456, "us")]
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)
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def test_insert_mismatched_types_raises(self, item):
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# GH#33703 dont cast these to td64
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tdi = TimedeltaIndex(["4day", "1day", "2day"], name="idx")
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msg = r"value should be a 'Timedelta' or 'NaT'\. Got '.*' instead\."
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with pytest.raises(TypeError, match=msg):
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tdi.insert(1, item)
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def test_insert_dont_cast_strings(self):
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# To match DatetimeIndex and PeriodIndex behavior, dont try to
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# parse strings to Timedelta
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idx = timedelta_range("1day", "3day")
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result = idx.insert(0, "1 Day")
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assert result.dtype == object
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assert result[0] == "1 Day"
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def test_insert_empty(self):
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# Corner case inserting with length zero doesnt raise IndexError
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# GH#33573 for freq preservation
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idx = timedelta_range("1 Day", periods=3)
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td = idx[0]
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result = idx[:0].insert(0, td)
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assert result.freq == "D"
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result = idx[:0].insert(1, td)
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assert result.freq == "D"
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result = idx[:0].insert(-1, td)
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assert result.freq == "D"
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