FM / multiindex

/usr/local/lib64/python3.6/site-packages/pandas/tests/indexing/multiindex/

/usr/local/lib64/python3.6/site-packages/pandas/tests/indexing/multiindex

Name	Size	Mode	Actions
__pycache__/	-	0755	rm
conftest.py	534	0644	edit dl rm
test_chaining_and_caching.py	1979	0644	edit dl rm
test_datetime.py	1209	0644	edit dl rm
test_getitem.py	8767	0644	edit dl rm
test_iloc.py	4991	0644	edit dl rm
test_indexing_slow.py	3119	0644	edit dl rm
test_insert.py	1023	0644	edit dl rm
test_ix.py	2117	0644	edit dl rm
test_loc.py	17852	0644	edit dl rm
test_multiindex.py	3263	0644	edit dl rm
test_partial.py	7614	0644	edit dl rm
test_setitem.py	15792	0644	edit dl rm
test_slice.py	25339	0644	edit dl rm
test_sorted.py	4447	0644	edit dl rm
test_xs.py	8411	0644	edit dl rm
__init__.py	0	0644	edit dl rm

Edit: /usr/local/lib64/python3.6/site-packages/pandas/tests/indexing/multiindex/test_datetime.py (1209B)

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)

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)