pandas.DataFrame.add_suffix¶
- DataFrame.add_suffix(suffix)[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.
- Returns
- Series or DataFrame
New Series or DataFrame with updated labels.
See also
Series.add_prefixPrefix row labels with string prefix.
DataFrame.add_prefixPrefix 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