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

Added 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