pandas.Series.index

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.

Returns:

Index

The index labels of the Series.

See also

Series.reindex

Conform Series to new index.

Index

The base pandas index type.

Notes

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

Examples

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')