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- from numpy.random import randn
- from pandas import DataFrame, MultiIndex, Series
- from pandas.util import testing as tm
- class TestMultiIndexSetOps(object):
- def test_multiindex_symmetric_difference(self):
- # GH 13490
- idx = MultiIndex.from_product([['a', 'b'], ['A', 'B']],
- names=['a', 'b'])
- result = idx ^ idx
- assert result.names == idx.names
- idx2 = idx.copy().rename(['A', 'B'])
- result = idx ^ idx2
- assert result.names == [None, None]
- def test_mixed_depth_insert(self):
- arrays = [['a', 'top', 'top', 'routine1', 'routine1', 'routine2'],
- ['', 'OD', 'OD', 'result1', 'result2', 'result1'],
- ['', 'wx', 'wy', '', '', '']]
- tuples = sorted(zip(*arrays))
- index = MultiIndex.from_tuples(tuples)
- df = DataFrame(randn(4, 6), columns=index)
- result = df.copy()
- expected = df.copy()
- result['b'] = [1, 2, 3, 4]
- expected['b', '', ''] = [1, 2, 3, 4]
- tm.assert_frame_equal(result, expected)
- def test_dataframe_insert_column_all_na(self):
- # GH #1534
- mix = MultiIndex.from_tuples([('1a', '2a'), ('1a', '2b'), ('1a', '2c')
- ])
- df = DataFrame([[1, 2], [3, 4], [5, 6]], index=mix)
- s = Series({(1, 1): 1, (1, 2): 2})
- df['new'] = s
- assert df['new'].isna().all()
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