xorbits.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
The dtype will be based on the type of the Index values.
- Return type
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
This docstring was copied from pandas.core.indexes.base.Index.