pandas.Index.to_series#

finalIndex.to_series(index=None,name=None)[source]#

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:

indexIndex, optional

Index of resulting Series. If None, defaults to original index.

namestr, optional

Name of resulting Series. If None, defaults to name of originalindex.

Returns:

Series

The dtype will be based on the type of the Index values.

See also

Index.to_frame

Convert an Index to a DataFrame.

Series.to_frame

Convert Series to DataFrame.

Examples

>>>idx=pd.Index(['Ant','Bear','Cow'],name='animal')

By default, the original index and original name is reused.

>>>idx.to_series()animalAnt      AntBear    BearCow      CowName: animal, dtype: object

To enforce a new index, specify new labels toindex:

>>>idx.to_series(index=[0,1,2])0     Ant1    Bear2     CowName: animal, dtype: object

To override the name of the resulting column, specifyname:

>>>idx.to_series(name='zoo')animalAnt      AntBear    BearCow      CowName: zoo, dtype: object