xorbits.pandas.Series.add_prefix#

Series.add_prefix(prefix)#

Prefix labels with string prefix.

For Series, the row labels are prefixed. For DataFrame, the column labels are prefixed.

Parameters
  • prefix (str) – The string to add before each label.

  • axis ({0 or 'index', 1 or 'columns', None}, default None (Not supported yet)) –

    Axis to add prefix on

    New in version 2.0.0(pandas).

Returns

New Series or DataFrame with updated labels.

Return type

Series or DataFrame

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

This docstring was copied from pandas.core.series.Series.