In [1]:

    

import pandas as pd
import numpy as np


    

In [2]:

    

df = pd.DataFrame(np.random.randint(0,10,size=(10, 4)), columns=list('ABCD'))


    

In [3]:

    

df


    

    
Out[3]:






  

    

      

      
A
      
B
      
C
      
D
    
  
  

    

      
0
      
2
      
3
      
0
      
6
    
    

      
1
      
8
      
0
      
6
      
6
    
    

      
2
      
6
      
5
      
4
      
6
    
    

      
3
      
4
      
2
      
1
      
3
    
    

      
4
      
4
      
0
      
2
      
6
    
    

      
5
      
5
      
6
      
1
      
2
    
    

      
6
      
1
      
7
      
2
      
8
    
    

      
7
      
4
      
4
      
3
      
6
    
    

      
8
      
4
      
2
      
6
      
2
    
    

      
9
      
3
      
1
      
6
      
6
    
  

In [ ]: