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# 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')