test_pandas.py 文件源码

def test_frame_non_unique_columns(self):
        df = DataFrame([['a', 'b'], ['c', 'd']], index=[1, 2],
                       columns=['x', 'x'])

        self.assertRaises(ValueError, df.to_json, orient='index')
        self.assertRaises(ValueError, df.to_json, orient='columns')
        self.assertRaises(ValueError, df.to_json, orient='records')

        assert_frame_equal(df, read_json(df.to_json(orient='split'),
                                         orient='split', dtype=False))
        unser = read_json(df.to_json(orient='values'), orient='values')
        np.testing.assert_equal(df.values, unser.values)

        # GH4377; duplicate columns not processing correctly
        df = DataFrame([['a', 'b'], ['c', 'd']], index=[
                       1, 2], columns=['x', 'y'])
        result = read_json(df.to_json(orient='split'), orient='split')
        assert_frame_equal(result, df)

        def _check(df):
            result = read_json(df.to_json(orient='split'), orient='split',
                               convert_dates=['x'])
            assert_frame_equal(result, df)

        for o in [[['a', 'b'], ['c', 'd']],
                  [[1.5, 2.5], [3.5, 4.5]],
                  [[1, 2.5], [3, 4.5]],
                  [[Timestamp('20130101'), 3.5],
                   [Timestamp('20130102'), 4.5]]]:
            _check(DataFrame(o, index=[1, 2], columns=['x', 'x']))