done
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import numpy as np
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import pytest
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from pandas import (
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Index,
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Series,
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Timedelta,
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timedelta_range,
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)
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import pandas._testing as tm
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class TestTimedeltaIndex:
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def test_misc_coverage(self):
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rng = timedelta_range("1 day", periods=5)
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result = rng.groupby(rng.days)
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assert isinstance(next(iter(result.values()))[0], Timedelta)
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def test_map(self):
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# test_map_dictlike generally tests
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rng = timedelta_range("1 day", periods=10)
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f = lambda x: x.days
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result = rng.map(f)
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exp = Index([f(x) for x in rng], dtype=np.int64)
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tm.assert_index_equal(result, exp)
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def test_fields(self):
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rng = timedelta_range("1 days, 10:11:12.100123456", periods=2, freq="s")
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tm.assert_index_equal(rng.days, Index([1, 1], dtype=np.int64))
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tm.assert_index_equal(
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rng.seconds,
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Index([10 * 3600 + 11 * 60 + 12, 10 * 3600 + 11 * 60 + 13], dtype=np.int32),
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)
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tm.assert_index_equal(
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rng.microseconds,
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Index([100 * 1000 + 123, 100 * 1000 + 123], dtype=np.int32),
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)
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tm.assert_index_equal(rng.nanoseconds, Index([456, 456], dtype=np.int32))
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msg = "'TimedeltaIndex' object has no attribute '{}'"
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with pytest.raises(AttributeError, match=msg.format("hours")):
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rng.hours
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with pytest.raises(AttributeError, match=msg.format("minutes")):
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rng.minutes
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with pytest.raises(AttributeError, match=msg.format("milliseconds")):
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rng.milliseconds
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# with nat
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s = Series(rng)
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s[1] = np.nan
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tm.assert_series_equal(s.dt.days, Series([1, np.nan], index=[0, 1]))
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tm.assert_series_equal(
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s.dt.seconds, Series([10 * 3600 + 11 * 60 + 12, np.nan], index=[0, 1])
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)
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# preserve name (GH15589)
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rng.name = "name"
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assert rng.days.name == "name"
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