In [18]:

    

import numpy as np
import pandas as pd
from IPython.display import display


    

In [19]:

    

A = np.arange(20).reshape(4,5)

AA = pd.DataFrame(A)
print(AA)
display(AA)


    

    




    0   1   2   3   4
0   0   1   2   3   4
1   5   6   7   8   9
2  10  11  12  13  14
3  15  16  17  18  19






    







  

    

      

      
0
      
1
      
2
      
3
      
4
    
  
  

    

      
0
      
0
      
1
      
2
      
3
      
4
    
    

      
1
      
5
      
6
      
7
      
8
      
9
    
    

      
2
      
10
      
11
      
12
      
13
      
14
    
    

      
3
      
15
      
16
      
17
      
18
      
19
    
  

In [4]:

    

print(AA.shape)
print(len(AA))


    

    




(4, 5)
4

In [9]:

    

BB = pd.DataFrame(A, index=range(1,5),columns=['a','b','c','d','e'])
print (BB)


    

    




    a   b   c   d   e
1   0   1   2   3   4
2   5   6   7   8   9
3  10  11  12  13  14
4  15  16  17  18  19

In [17]:

    

print(BB.loc[2])


    

    




a    5
b    6
c    7
d    8
e    9
Name: 2, dtype: int64

In [13]:

    

print(BB.loc[:,'a'])


    

    




1     0
2     5
3    10
4    15
Name: a, dtype: int64