pyspark.pandas.Index.unique#

Index.unique(level=None)[source]#

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')],
           )