pandas.Series.add_prefix#
- Series.add_prefix(prefix, axis=None)[source]#
- Prefix labels with string prefix. - For Series, the row labels are prefixed. For DataFrame, the column labels are prefixed. - Parameters
- prefixstr
- The string to add before each label. 
- axis{{0 or ‘index’, 1 or ‘columns’, None}}, default None
- Axis to add prefix on - New 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