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()