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# pandas.Series.add_prefix

Series.add_prefix(prefix, axis=None)

  Prefix labels with string prefix.

  For Series, the row labels are prefixed. For DataFrame, the column labels are prefixed.

  Parameters:
    prefix str

      The string to add before each label.

    axis{0 or ‘index’, 1 or ‘columns’, None}, default None

      Axis to add prefix on

      Added in version 2.0.0.

  Returns:
    Series or DataFrame

      New Series or DataFrame with updated labels.

  See also

  `Series.add_suffix`

    Suffix row labels with string suffix.

  `DataFrame.add_suffix`

    Suffix column labels with string suffix.

  Examples

      >>> s = pd.Series([1, 2, 3, 4])
      >>> s
      0    1
      1    2
      2    3
      3    4
      dtype: int64

      >>> s.add_prefix("item_")
      item_0    1
      item_1    2
      item_2    3
      item_3    4
      dtype: int64

      >>> df = pd.DataFrame({"A": [1, 2, 3, 4], "B": [3, 4, 5, 6]})
      >>> df
         A  B
      0  1  3
      1  2  4
      2  3  5
      3  4  6

      >>> df.add_prefix("col_")
           col_A  col_B
      0       1       3
      1       2       4
      2       3       5
      3       4       6