In [35]:

    

import pandas as pd
import numpy as np
import matplotlib.pyplot as plt


    

In [ ]:

    

%%bash
git commit


    

In [21]:

    

df = pd.DataFrame(np.random.randn(10,5), index=list(range(10)), columns = list("ABCDE"))
df


    

    
Out[21]:






  

    

      

      
A
      
B
      
C
      
D
      
E
    
  
  

    

      
0
      
-0.212862
      
-1.011194
      
-1.138199
      
-0.932804
      
-0.279693
    
    

      
1
      
0.194660
      
0.299546
      
-0.881936
      
1.489913
      
1.390468
    
    

      
2
      
0.572256
      
-0.169098
      
1.397204
      
1.249620
      
-1.191226
    
    

      
3
      
1.465381
      
0.433794
      
1.531289
      
-2.227304
      
0.254160
    
    

      
4
      
1.087839
      
-0.222498
      
0.063400
      
1.210815
      
-1.343562
    
    

      
5
      
1.824270
      
0.647035
      
-1.395918
      
0.102228
      
-1.226248
    
    

      
6
      
0.452942
      
-0.251262
      
-0.407154
      
1.150705
      
0.653690
    
    

      
7
      
1.966258
      
-0.838877
      
0.622679
      
-0.937318
      
-0.241825
    
    

      
8
      
1.088565
      
0.795834
      
0.332464
      
0.738309
      
-0.001361
    
    

      
9
      
0.350660
      
-1.868643
      
1.152331
      
0.641795
      
-0.872482
    
  

In [32]:

    

df[:3]
df["A"]
df[2:3]


    

    
Out[32]:






  

    

      

      
A
      
B
      
C
      
D
      
E
    
  
  

    

      
2
      
0.572256
      
-0.169098
      
1.397204
      
1.24962
      
-1.191226
    
  

In [ ]: