modin.pandas.DataFrame.add_prefix¶

DataFrame.add_prefix(prefix)[source]¶

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.

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

Copy

>>> s.add_prefix('item_')
item_0    1
item_1    2
item_2    3
item_3    4
dtype: int64

Copy

>>> 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

Copy

>>> df.add_prefix('col_')
   col_A  col_B
0      1      3
1      2      4
2      3      5
3      4      6

Copy