pyspark.pandas.Index.to_series¶
-
Index.to_series(name: Union[Any, Tuple[Any, …], None] = None) → pyspark.pandas.series.Series¶ Create a Series with both index and values equal to the index keys useful with map for returning an indexer based on an index.
- Parameters
- namestring, optional
name of resulting Series. If None, defaults to name of original index
- Returns
- Seriesdtype will be based on the type of the Index values.
Examples
>>> df = ps.DataFrame([(.2, .3), (.0, .6), (.6, .0), (.2, .1)], ... columns=['dogs', 'cats'], ... index=list('abcd')) >>> df['dogs'].index.to_series() a a b b c c d d dtype: object