xorbits.pandas.Index.to_series#

Index.to_series(index=None, name=None)[源代码]#

Create a Series with both index and values equal to the index keys.

Useful with map for returning an indexer based on an index.

参数

  • 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.

返回

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

返回类型

Series

参见

Index.to_frame

Convert an Index to a DataFrame.

Series.to_frame

Convert Series to DataFrame.

实际案例

>>> 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.