In [1]:

    

import pandas as pd
df = pd.DataFrame([['AA', 1],['BB', 2],['CC', 3]], columns = ['name','value'])


    

In [2]:

    

df


    

    
Out[2]:






  

    

      

      
name
      
value
    
  
  

    

      
0
      
AA
      
1
    
    

      
1
      
BB
      
2
    
    

      
2
      
CC
      
3
    
  

In [3]:

    

def function_1(val_1, val_2):
    return val_1 + str(val_2)


    

In [4]:

    

df['col_a'] = df.apply(lambda row: function_1(row['name'], row['value']), axis=1)


    

In [5]:

    

df


    

    
Out[5]:






  

    

      

      
name
      
value
      
col_a
    
  
  

    

      
0
      
AA
      
1
      
AA1
    
    

      
1
      
BB
      
2
      
BB2
    
    

      
2
      
CC
      
3
      
CC3
    
  

In [6]:

    

def function_2(row):
    return row['value'] * 2


    

In [7]:

    

df['col_b'] = df.apply(lambda row: function_2(row), axis=1)


    

In [8]:

    

df


    

    
Out[8]:






  

    

      

      
name
      
value
      
col_a
      
col_b
    
  
  

    

      
0
      
AA
      
1
      
AA1
      
2
    
    

      
1
      
BB
      
2
      
BB2
      
4
    
    

      
2
      
CC
      
3
      
CC3
      
6