add_suffix(self: 'NDFrameT', suffix: 'str') -> 'NDFrameT'
For Series, the row labels are suffixed. For DataFrame, the column labels are suffixed.
The string to add after each label.
New Series or DataFrame with updated labels.
Suffix labels with string :None:None:`suffix`.
DataFrame.add_prefix
Prefix column labels with string :None:None:`prefix`.
Series.add_prefix
Prefix row labels with string :None:None:`prefix`.
>>> s = pd.Series([1, 2, 3, 4])This example is valid syntax, but we were not able to check execution
... 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: int64This example is valid syntax, but we were not able to check execution
>>> df = pd.DataFrame({'A': [1, 2, 3, 4], 'B': [3, 4, 5, 6]})This example is valid syntax, but we were not able to check execution
... 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 6See :
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