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

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