pandas.Series.add_suffix — pandas 2.2.3 documentation (original) (raw)

Series.add_suffix(suffix, axis=None)[source]#

Suffix labels with string suffix.

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

Parameters:

suffixstr

The string to add after each label.

axis{0 or ‘index’, 1 or ‘columns’, None}, default None

Axis to add suffix on

Added in version 2.0.0.

Returns:

Series or DataFrame

New Series or DataFrame with updated labels.

Examples

s = pd.Series([1, 2, 3, 4]) s 0 1 1 2 2 3 3 4 dtype: int64

s.add_suffix('_item') 0_item 1 1_item 2 2_item 3 3_item 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_suffix('_col') A_col B_col 0 1 3 1 2 4 2 3 5 3 4 6