In [1]:

    

import pandas as pd


    

In [21]:

    

path = "data/compo_misc_capital_recipts.csv"
df=pd.read_csv(path)


    

In [22]:

    

df


    

    
Out[22]:






  

    

      

      
slug_name
      
index_name
      
2015-2016
      
2016-2017 (BE)
      
2016-2017 (RE)
      
2017-2018 (BE)
      
color
      
unit
    
  
  

    

      
0
      
disinvestment_receipts
      
Disinvestment Receipts
      
42131.69
      
36,000
      
40,000
      
46,500
      
#D64700
      
Rs. Crore
    
    

      
1
      
strategic_disinvestment
      
Strategic Disinvestment
      
...
      
20,500
      
5,500
      
15,000
      
#40627C
      
Rs. Crore
    
    

      
2
      
others_(listing_of_insurance_companies)
      
Others (Listing of Insurance Companies)
      
...
      
...
      
...
      
11,000
      
#D0A825
      
Rs. Crore
    
    

      
3
      
total
      
Total
      
42131.69
      
56500
      
45500
      
72500
      
#26393D
      
Rs. Crore
    
  

In [23]:

    

file_name= "compo_misc_capital_recipts.csv"
for index, row in enumerate(df.iterrows()):
    #rint " .. raw:: html\n"
    print '    <iframe src="../viz/visualization.html#barchart/'+file_name+'/'+row[1][0] +'" width="100%", height="500",  frameBorder="0"></iframe>\n'


    

    




    <iframe src="../viz/visualization.html#barchart/compo_misc_capital_recipts.csv/disinvestment_receipts" width="100%", height="500",  frameBorder="0"></iframe>

    <iframe src="../viz/visualization.html#barchart/compo_misc_capital_recipts.csv/strategic_disinvestment" width="100%", height="500",  frameBorder="0"></iframe>

    <iframe src="../viz/visualization.html#barchart/compo_misc_capital_recipts.csv/others_(listing_of_insurance_companies)" width="100%", height="500",  frameBorder="0"></iframe>

    <iframe src="../viz/visualization.html#barchart/compo_misc_capital_recipts.csv/total" width="100%", height="500",  frameBorder="0"></iframe>

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