pandas.DataFrame.add_suffix

DataFrame.add_suffix(suffix) [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:

Series or DataFrame

New Series or DataFrame with updated labels.

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
>>> 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

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Licensed under the 3-clause BSD License.
https://pandas.pydata.org/pandas-docs/version/0.23.4/generated/pandas.DataFrame.add_suffix.html