pandas.DataFrame.add_suffix#

DataFrame.add_suffix(suffix, axis=None)[source]#

Suffix labels with string suffix.

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

Parameters:
suffixstr

The string to add after each label.

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

Axis to add suffix on

New 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