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- from datetime import datetime
- import numpy as np
- from pandas import (
- DataFrame,
- Index,
- MultiIndex,
- Period,
- Series,
- period_range,
- to_datetime,
- )
- import pandas._testing as tm
- def test_multiindex_period_datetime():
- # GH4861, using datetime in period of multiindex raises exception
- idx1 = Index(["a", "a", "a", "b", "b"])
- idx2 = period_range("2012-01", periods=len(idx1), freq="M")
- s = Series(np.random.randn(len(idx1)), [idx1, idx2])
- # try Period as index
- expected = s.iloc[0]
- result = s.loc["a", Period("2012-01")]
- assert result == expected
- # try datetime as index
- result = s.loc["a", datetime(2012, 1, 1)]
- assert result == expected
- def test_multiindex_datetime_columns():
- # GH35015, using datetime as column indices raises exception
- mi = MultiIndex.from_tuples(
- [(to_datetime("02/29/2020"), to_datetime("03/01/2020"))], names=["a", "b"]
- )
- df = DataFrame([], columns=mi)
- expected_df = DataFrame(
- [],
- columns=MultiIndex.from_arrays(
- [[to_datetime("02/29/2020")], [to_datetime("03/01/2020")]], names=["a", "b"]
- ),
- )
- tm.assert_frame_equal(df, expected_df)
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