pandas.DataFrame.add_prefix#

DataFrame.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