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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:]) | |
| vc = zip(values,countries) | |
| vc.sort() | |
| vc.reverse() | |
| out_row = [area] | |
| vcCount = -1 | |
| rowSelect = -1 | |
| adjust = 0 | |
| once = 0 | |
| for value, country in vc: | |
| vcCount = vcCount + 1 | |
| rowSelect = rowSelect + 1 - adjust | |
| data = [] | |
| if value != 0: | |
| if vcCount-1 != -1: | |
| if value == vc[vcCount-1][0]: | |
| if once == 0: | |
| adjust = adjust + 1 | |
| once = 1 | |
| out_row[rowSelect] = "[" + out_row[rowSelect].replace('[', '').replace(']','') + ', "' + country + '"]' | |
| else: | |
| adjust = 0 | |
| once = 0 | |
| out_row.append('"' + country + '"') | |
| else: | |
| out_row.append('"' + country + '"') | |
| if(len(out_row) == 6): | |
| break | |
| w.writerow(out_row) | |
| f.close() |
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