pandas.Index.to_series

Index.to_series(index=None, 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

indexIndex, optional

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

namestr, optional

Name of resulting Series. If None, defaults to name of original index.

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()
animal
Ant      Ant
Bear    Bear
Cow      Cow
Name: animal, dtype: object

To enforce a new Index, specify new labels to index:

>>> idx.to_series(index=[0, 1, 2])
0     Ant
1    Bear
2     Cow
Name: animal, dtype: object

To override the name of the resulting column, specify name:

>>> idx.to_series(name='zoo')
animal
Ant      Ant
Bear    Bear
Cow      Cow
Name: zoo, dtype: object

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