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    <p>This is to respond to the modifications you made to <code>sort_keyratios()</code> in the answer you posted to your own question. It's also so you have something else to up-vote, should you find the additional information useful. &lt;hint&gt;</p> <p>Anyway, you could do what is being done <em>much</em> more efficiently by building a dictionary that maps each <code>datacode</code> to a <code>(row, col)</code> pair once, and then just using this previously built table to look up the values in the function. TO facilitate that I've added a new function called <code>create_datacode_map()</code>.</p> <p>Here's how it could be used:</p> <pre><code>def create_datacode_map(): """ Create dictionary mapping datacodes to (row, col) in data. """ # define rows that have no useful data skip_list = {16, 17, 18, 28, 29, 38, 39, 40, 41, 46, 51, 56, 61, 62, 63, 69, 70, 71, 92, 93, 98, 99, 100} def find_row_col(datacode): skipped = 0 # match datacode to row, column for row in xrange(0, 109): if row in skip_list: skipped += 11 continue for col in xrange(0, 12): if datacode == col + (11*row) - skipped: return row, col # create and return the dictionary return {datacode: find_row_col(datacode) for datacode in xrange(1, 910)} def sort_keyratios(self, datacode): # convert datacode to row, column and return data in that position of list if not hasattr(self, 'datacode_map'): self.datacode_map = create_datacode_map() row, col = self.datacode_map[datacode] # lookup conversion return self.data[row][col] </code></pre> <p>The version of <code>sort_keyratios()</code> shown checks for the existence of <code>self.datacode_map</code> each time it's called and creates it if it doesn't exist. It would be more efficient to have done that already in <code>fetch_keyratios(()</code> so <code>sort_keyratios()</code> could assume it exists and not have to check each time it's called.</p>
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    1. POIterating csvDictReader with nested for loops
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    1. COIt feels like coming full circle mapping back to a dict. I'm sure you have deduced that I am 'learning python the hard way'. Thank you for the explanations and subtleties in your code that help me guide my own learning(i.e. `xrange()` vs `range()`, though I may find myself at the mercy of Python 3, so may stick with `range()`). Why do you make `find_row_col()` a sub-function rather than leaving that code in `create_datacode_map()`?
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    2. COYes, it's yet another dictionary, but its purpose is completely different. Python has tools for converting from version 2 to 3 that will fix uses of `xrange` so I wouldn't avoid it for that reason. I made `find_row_col()` a nested function because it's only called by `create_datacode_map()` and it allows `skip_list` to be created outside the function itself rather than every times it's called.
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