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    <p>You really don't need two scripts for the task if the only difference is whether the ranking is to be done ascending or descending order -- just make it an argument to a function as shown. The<code>StrCount</code> class is so trivial, it's probably wasn't worth the effort (but I've left it in).</p> <pre><code>import csv from itertools import count, groupby import sys _MIN_INT, _MAX_INT = -sys.maxint-1, sys.maxint RANK_DOWN, RANK_UP = False, True # larger numbers to get higher or lower rank class StrCount(count): """ Like itertools.count iterator but supplies string values. """ def next(self): return str(super(StrCount, self).next()) def rerank(filename, direction): with open(filename, 'rb') as inf: reader = csv.reader(inf) subst = _MIN_INT if direction else _MAX_INT # subst value for empty cells for dataset, rows in groupby(reader, key=lambda row: row[:2]): ranking = StrCount(1) prev = last_rank = None for row in sorted(rows, key=lambda row: int(row[2]) if row[2] else subst, reverse=direction): row[4] = (ranking.next() if row[2] or not row[2] and prev != '' else last_rank) print ','.join(row) prev, last_rank = row[2], row[4] if __name__ == '__main__': print 'CSV example_1.csv (ranked down):' rerank('example_1.csv', RANK_DOWN) print '\nCSV example_2.csv (ranked up):' rerank('example_2.csv', RANK_UP) print '\nCSV example_3.csv (ranked up):' rerank('example_3.csv', RANK_UP) </code></pre> <p>The output:</p> <pre class="lang-none prettyprint-override"><code>CSV example_1.csv (ranked down): uniquedata1,uniquecell1,13,data,1,data uniquedata1,uniquecell1,32,data,2,data uniquedata1,uniquecell1,42,data,3,data uniquedata2,uniquecell2,22,data,1,data uniquedata2,uniquecell2,39,data,2,data uniquedata2,uniquecell2,41,data,3,data uniquedata2,uniquecell2,45,data,4,data uniquedata1,uniquecell2,36,data,1,data uniquedata1,uniquecell2,40,data,2,data uniquedata1,uniquecell2,66,data,3,data CSV example_2.csv (ranked up): uniquedata1,uniquecell1,42,data,1,data uniquedata1,uniquecell1,32,data,2,data uniquedata1,uniquecell1,13,data,3,data uniquedata2,uniquecell2,45,data,1,data uniquedata2,uniquecell2,41,data,2,data uniquedata2,uniquecell2,39,data,3,data uniquedata2,uniquecell2,22,data,4,data uniquedata1,uniquecell2,66,data,1,data uniquedata1,uniquecell2,40,data,2,data uniquedata1,uniquecell2,36,data,3,data CSV example_3.csv (ranked up): uniquedata1,uniquecell1,42,data,1,data uniquedata1,uniquecell1,13,data,2,data uniquedata1,uniquecell1,,data,3,data uniquedata2,uniquecell2,41,data,1,data uniquedata2,uniquecell2,22,data,2,data uniquedata2,uniquecell2,,data,3,data uniquedata2,uniquecell2,,data,3,data uniquedata1,uniquecell2,66,data,1,data uniquedata1,uniquecell2,40,data,2,data uniquedata1,uniquecell2,36,data,3,data </code></pre>
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