pandas.Index.to_series
- Index.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
-
- index:Index, optional
-
Index of resulting Series. If None, defaults to original index.
- name:str, 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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Licensed under the 3-clause BSD License.
https://pandas.pydata.org/pandas-docs/version/1.3.4/reference/api/pandas.Index.to_series.html