add_prefix(self: 'NDFrameT', prefix: 'str') -> 'NDFrameT'
For Series, the row labels are prefixed. For DataFrame, the column labels are prefixed.
The string to add before each label.
New Series or DataFrame with updated labels.
Prefix labels with string :None:None:`prefix`.
DataFrame.add_suffix
Suffix column labels with string :None:None:`suffix`.
Series.add_suffix
Suffix row labels with string :None:None:`suffix`.
>>> 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_prefix('item_') item_0 1 item_1 2 item_2 3 item_3 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_prefix('col_') col_A col_B 0 1 3 1 2 4 2 3 5 3 4 6See :
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