In [35]:

    

from collections import Counter
profile = Counter({"Arts":0, "Business":0, "Computers":0,"Games":2, "Health":0, "Home":0,
                  "Kids and Teens":0, "News":1, "Recreation":3, "Reference":0, "Regional":0,
                  "Science":0, "Shopping":0, "Society":0, "Sports":0,"World":0})


    

In [52]:

    

def calculate_relative_profile(profile):
    rel_profile = profile.values()
    new_profile = dict()
    rel_sum = sum(rel_profile)
    
    for item in profile.items():
        new_profile[item[0]] = float(float(item[1])/float(rel_sum))
    return new_profile


    

In [53]:

    

new_profile = calculate_relative_profile(profile)
print new_profile


    

    




{'Arts': 0.0, 'Regional': 0.0, 'Shopping': 0.0, 'Business': 0.0, 'Reference': 0.0, 'Health': 0.0, 'Kids and Teens': 0.0, 'Computers': 0.0, 'Recreation': 0.5, 'Sports': 0.0, 'News': 0.16666666666666666, 'Society': 0.0, 'Games': 0.3333333333333333, 'Science': 0.0, 'World': 0.0, 'Home': 0.0}

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