pandas.DatetimeIndex.to_series — pandas 2.2.3 documentation (original) (raw)

DatetimeIndex.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 original index.

Returns:

Series

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

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