In [29]:

    

import pandas as pd
from datetime import datetime
from pandas.io.data import DataReader
import matplotlib.pyplot as plt


    

In [35]:

    

spx = DataReader("^GSPC", "yahoo", datetime(2000,1,1))
sso = DataReader("SSO", "yahoo", datetime(2000,1,1))
znga = DataReader("ZNGA", "yahoo", datetime(2013,1,1))
gluu = DataReader("GLUU", "yahoo", datetime(2013,1,1))
znga.head()


    

    
Out[35]:






  

    

      

      
Open
      
High
      
Low
      
Close
      
Volume
      
Adj Close
    
    

      
Date
      

      

      

      

      

      

    
  
  

    

      
2013-01-02
      
 2.41
      
 2.45
      
 2.34
      
 2.39
      
 19488000
      
 2.39
    
    

      
2013-01-03
      
 2.39
      
 2.45
      
 2.35
      
 2.41
      
 13589700
      
 2.41
    
    

      
2013-01-04
      
 2.43
      
 2.69
      
 2.42
      
 2.63
      
 36848200
      
 2.63
    
    

      
2013-01-07
      
 2.67
      
 2.76
      
 2.62
      
 2.62
      
 31078800
      
 2.62
    
    

      
2013-01-08
      
 2.59
      
 2.62
      
 2.48
      
 2.50
      
 14958100
      
 2.50
    
  

5 rows × 6 columns

In [31]:

    

spx = spx.reindex(sso.index)
both = pd.DataFrame(data = {'spx': spx['Adj Close'], 'sso': sso['Adj Close']})
both.head()


    

    
Out[31]:






  

    

      

      
spx
      
sso
    
    

      
Date
      

      

    
  
  

    

      
2006-06-21
      
 1252.20
      
 62.21
    
    

      
2006-06-22
      
 1245.60
      
 61.55
    
    

      
2006-06-23
      
 1244.50
      
 61.54
    
    

      
2006-06-26
      
 1250.56
      
 61.90
    
    

      
2006-06-27
      
 1239.20
      
 60.80
    
  

5 rows × 2 columns

In [32]:

    

both.plot()


    

    
Out[32]:





<matplotlib.axes.AxesSubplot at 0x4430290>

In [33]:

    

plt.show()


    

In [28]:

    




    

In [28]:

    




    

In [ ]: