In [1]:

    

%preview data
import pandas as pd
import numpy as np
data = pd.DataFrame(np.random.randn(6,4), columns=list('ABCD'))


    

In [2]:

    

%get data
data <- data + 1
data


    

    






A
B
C
D

	
0
-0.06624191
-0.12764834
 1.29318026
 0.6223112 
	
1
-0.21722876
 0.35227416
 1.29648381
 0.8555613 
	
2
 2.32220420
 0.59960728
-0.02911349
-0.8224742 
	
3
-0.97739092
-0.10268154
 1.56297364
 0.9235085 
	
4
 1.45126704
-0.02538247
-0.11000745
 0.9922265 
	
5
 0.50206333
 0.85188488
 1.67974275
-1.1721192 

In [3]:

    

%get data
data


    

    
Out[3]:





{ '0': 
   { A: -1.0662419092,
     B: -1.1276483391,
     C: 0.2931802578,
     D: -0.3776887585 },
  '1': 
   { A: -1.2172287551,
     B: -0.6477258439,
     C: 0.296483811,
     D: -0.1444387451 },
  '2': 
   { A: 1.3222041969,
     B: -0.4003927193,
     C: -1.029113487,
     D: -1.8224741508 },
  '3': 
   { A: -1.9773909221,
     B: -1.1026815372,
     C: 0.5629736356,
     D: -0.0764915407 },
  '4': 
   { A: 0.4512670366,
     B: -1.0253824665,
     C: -1.1100074475,
     D: -0.0077734593 },
  '5': 
   { A: -0.4979366674,
     B: -0.1481151165,
     C: 0.6797427481,
     D: -2.1721191671 } }

In [ ]: