xorbits.pandas.Series.index#

property Series.index#

The index (axis labels) of the Series.

The index of a Series is used to label and identify each element of the underlying data. The index can be thought of as an immutable ordered set (technically a multi-set, as it may contain duplicate labels), and is used to index and align data in pandas.

返回: The index labels of the Series.
返回类型: Index

参见

Series.reindex: Conform Series to new index.
Series.set_index: Set Series as DataFrame index.
Index: The base pandas index type.

提示

For more information on pandas indexing, see the indexing user guide.

实际案例

To create a Series with a custom index and view the index labels:

>>> cities = ['Kolkata', 'Chicago', 'Toronto', 'Lisbon']  
>>> populations = [14.85, 2.71, 2.93, 0.51]  
>>> city_series = pd.Series(populations, index=cities)  
>>> city_series.index  
Index(['Kolkata', 'Chicago', 'Toronto', 'Lisbon'], dtype='object')

To change the index labels of an existing Series:

>>> city_series.index = ['KOL', 'CHI', 'TOR', 'LIS']  
>>> city_series.index  
Index(['KOL', 'CHI', 'TOR', 'LIS'], dtype='object')

This docstring was copied from pandas.core.series.Series.