modin.pandas.Series.add_suffix¶

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:

suffix (str) – The string to add after each label.

Returns:

New Series or DataFrame with updated labels.

Return type:

Series or DataFrame

See also

Series.add_prefix

Prefix row labels with string prefix.

DataFrame.add_prefix

Prefix column labels with string prefix.

Examples

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

Copy

>>> s.add_suffix('_item')
0_item    1
1_item    2
2_item    3
3_item    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

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>>> df.add_suffix('_col')
   A_col  B_col
0      1      3
1      2      4
2      3      5
3      4      6

Copy