I have a data file with the following format:

name,cost1,cost1,cost1,cost2,cost3,cost3,
X,2,4,6,5,6,8,
Y,0,3,6,5,4,6,
.
.
....

Now, what I would like to do is to convert this to a dictionary of dictionaries such that

{'X', {'cost1': 4, 'cost2':5, 'cost3':7}},{'Y', {'cost1': 3, 'cost2':5, 'cost3':5}}....

where the values of each key is the average from the data file. How could this be done?

import csv
types = [str, float, float, float, float, float, float]                                            with open('multientry.csv') as f:data = csv.reader(f, delimiter=',')headers = next(data)dofd = {}for r in data:r = tuple(convert(value) for convert, value in zip(types, r))dofd[r[0]] = {}dofd[r[0]]['cost1'] = (r[1]+r[2]+r[3])/3.dofd[r[0]]['cost2'] = r[4]dofd[r[0]]['cost3'] = (r[5]+r[6])/2.print dofd