Minor edits to IPython slide.
scores = [[], [], [], [], []]
ninety_percents = [{}, {}, {}, {}, {}]
for record in open('sslc1.txt'):
# record = record.strip()
fields = record.split(';')
region_code = fields[0].strip()
for i, field in enumerate(fields[3:8]):
if region_code not in ninety_percents[i]:
ninety_percents[i][region_code] = 0
score_str = field.strip()
score = 0 if score_str == 'AA' else int(score_str)
scores[i].append(score)
if score > 90:
ninety_percents[i][region_code] += 1
subj_total = []
for subject in ninety_percents:
subj_total.append(sum(subject.values()))
figure(1)
pie(ninety_percents[3].values(), labels=ninety_percents[3].keys())
title('Students scoring 90% and above in science by region')
savefig('science.png')
figure(2)
pie(subj_total, labels=['English', 'Hindi', 'Maths', 'Science', 'Social'])
title('Students scoring more than 90% by subject(All regions combined).')
savefig('all_regions.png')
# List method
print "Mean: ", mean(scores[2])
print "Median: ", median(scores[2])
print "Standard Deviation: ", std(scores[2])
# Array method
#math_scores = array(scores[2])
#print "Mean: ", mean(math_scores)
#print "Median: ", median(math_scores)
#print "Standard Deviation: ", std(math_scores)