1 scores = [[], [], [], [], []]

     2 ninety_percents = [{}, {}, {}, {}, {}]

     3 

     4 for record in open('sslc1.txt'):

     5     record = record.strip()

     6     fields = record.split(';')

     7 

     8     region_code = fields[0].strip()

     9    

    10     for i, field in enumerate(fields[3:8]):

    11         if region_code not in ninety_percents[i]:

    12             ninety_percents[i][region_code] = 0

    13         score_str = field.strip()

    14         score = 0 if score_str == 'AA' else int(score_str)

    15         scores[i].append(score)

    16         if score > 90:

    17             ninety_percents[i][region_code] += 1

    18 

    19 subj_total = []

    20 for subject in ninety_percents:

    21     subj_total.append(sum(subject.values()))

    22 

    23 

    24 figure(1)

    25 pie(ninety_percents[3].values(), labels=ninety_percents[3].keys())

    26 title('Students scoring 90% and above in science by region')

    27 savefig('science.png')

    28 

    29 figure(2)

    30 pie(subj_total, labels=['English', 'Hindi', 'Maths', 'Science', 'Social'])

    31 title('Students scoring more than 90% by subject(All regions combined).')

    32 savefig('all_regions.png')

    33 

    34 # List method

    35 print "Mean: ", mean(scores[2])

    36 

    37 print "Median: ", median(scores[2])

    38 

    39 print "Standard Deviation: ", std(scores[2])

    40 

    41 # Array method

    42 

    43 #math_scores = array(scores[2])

    44 

    45 #print "Mean: ", mean(math_scores)

    46 

    47 #print "Median: ", median(math_scores)

    48 

    49 #print "Standard Deviation: ", std(math_scores)

    50