pandas (original) (raw)

prob should expand this with a different df that has pretty much all dtypes, then can test ones which have an error

        df = pd.DataFrame(
            {'group': [1, 1, 2],
             'int': [1, 2, 3],
             'float': [4., 5., 6.],
             'string': list('abc'),
             'category_string': pd.Series(list('abc')).astype('category'),
             'category_int': [7, 8, 9],
             'datetime': pd.date_range('20130101', periods=3),
             'datetimetz': pd.date_range('20130101',
                                         periods=3,
                                         tz='US/Eastern'),
             'timedelta': pd.timedelta_range('1 s', periods=3, freq='s')},
            columns=['group', 'int', 'float', 'string',
                     'category_string', 'category_int',
                     'datetime', 'datetimetz',
                     'timedelta'])