pyspark.pandas.MultiIndex.to_series

MultiIndex.to_series(name=None)

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