pandas.Series.add_prefix#
- Series.add_prefix(prefix)[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.
- 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