pyspark.pandas.Index.unique

Index.unique(level=None)

Return unique values in the index.

Be aware the order of unique values might be different than pandas.Index.unique

Parameters:

levelint or str, optional, default is None

Returns:

Index without duplicates

See also

Series.unique

groupby.SeriesGroupBy.unique

Examples

>>> ps.DataFrame({'a': ['a', 'b', 'c']}, index=[1, 1, 3]).index.unique().sort_values()
Index([1, 3], dtype='int64')

>>> ps.DataFrame({'a': ['a', 'b', 'c']}, index=['d', 'e', 'e']).index.unique().sort_values()
Index(['d', 'e'], dtype='object')

MultiIndex

>>> ps.MultiIndex.from_tuples([("A", "X"), ("A", "Y"), ("A", "X")]).unique()
...
MultiIndex([('A', 'X'),
            ('A', 'Y')],
           )