pyspark.pandas.Index.unique

Index.unique(level: Union[int, Any, Tuple[Any, …], None] = None) → pyspark.pandas.indexes.base.Index

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()
... 
Int64Index([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')],
           )

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