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Example of how to convert a csv file to a table of ranked headers for each row
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| #!/usr/bin/env python | |
| import csv | |
| r = csv.reader(open("data.csv")) | |
| headers = r.next() | |
| countries = headers[1:] | |
| with open("ranked.csv","w") as f: | |
| w = csv.writer(f) | |
| w.writerow(['Area','#1','#2','#3','#4','#5']) | |
| for row in r: | |
| area = row[0] | |
| values = map(int,row[1:]) | |
| values_and_countries = zip(values,countries) | |
| values_and_countries.sort() | |
| values_and_countries.reverse() | |
| out_row = [area] | |
| for value, country in values_and_countries[:5]: # note this doesn't account for ties | |
| out_row.append(country) | |
| w.writerow(out_row) | |
| f.close() |
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