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.
The index labels of the Series.
For more information on pandas indexing, see the indexing user guide.
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')