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# pandas.DataFrame.add_suffix

DataFrame.add_suffix(suffix, axis=None)

  Suffix labels with string suffix.

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

  Parameters:
    suffix str

      The string to add after each label.

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

      Axis to add suffix on

      Added in version 2.0.0.

  Returns:
    Series or DataFrame

      New Series or DataFrame with updated labels.

  See also

  `Series.add_prefix`

    Prefix row labels with string prefix.

  `DataFrame.add_prefix`

    Prefix column labels with string prefix.

  Examples

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

      >>> s.add_suffix("_item")
      0_item    1
      1_item    2
      2_item    3
      3_item    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_suffix("_col")
           A_col  B_col
      0       1       3
      1       2       4
      2       3       5
      3       4       6