pandas.DataFrame.add_prefix#

DataFrame.add_prefix(prefix,axis=None)[source]#

Prefix labels with stringprefix.

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 stringsuffix.

DataFrame.add_suffix

Suffix column labels with stringsuffix.

Examples

>>>s=pd.Series([1,2,3,4])>>>s0    11    22    33    4dtype: int64

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

>>>df=pd.DataFrame({'A':[1,2,3,4],'B':[3,4,5,6]})>>>df   A  B0  1  31  2  42  3  53  4  6

>>>df.add_prefix('col_')     col_A  col_B0       1       31       2       42       3       53       4       6