Pandas Series: add_suffix() function

Suffix labels with string suffix in Pandas series

The add_suffix() function is used to suffix labels with string suffix.

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

Syntax:

Series.add_suffix(self, suffix)

Parameters:

Returns: Series or DataFrame
New Series or DataFrame with updated labels

Example:

Python-Pandas Code:

import numpy as np
import pandas as pd
s = pd.Series([2, 3, 4, 5])
s

Output:

0    2
1    3
2    4
3    5
dtype: int64

Python-Pandas Code:

import numpy as np
import pandas as pd
s.add_suffix('_item')
df = pd.DataFrame({'X': [2, 3, 4, 5],  'Y': [4, 5, 6, 7]})
df

Output:

   X	Y
0	2	4
1	3	5
2	4	6
3	5	7

Python-Pandas Code:

import numpy as np
import pandas as pd
s.add_suffix('_item')
df = pd.DataFrame({'X': [2, 3, 4, 5],  'Y': [4, 5, 6, 7]})
df.add_suffix('_col')

Output:

   X_col	Y_col
0	  2	     4
1	  3	     5
2	  4	     6  
3	  5	     7

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