Dean Card wrote:
> I have a list of dictionaries where each dictionary defines, among other
> things, a row and column number. So, my list might look like this:
> [{'row':1, 'column':1, otherdata}, {'row':1, 'column':2, 'otherdata}...]
>
> This data is passed to flash and used there to create a grid of objects that
> are placed based on the row and column values.
>
> For a given set of data I may have values column values in the range of 1, 9
> inclusive.
>
> What I would like to do is take my list of dictionaries (like the one listed
> above) and shift the column numbers down to fill in missing values...
> example (only the column key,value pair is show for simplification):
>
> [{'column':1}, {'column':2}, {'column', 4}, {'column': 8}, {'column':2},
> {'column', 4}]
>
> If this were the dataset... I would want to change all 4s to 3 and all 8s to
> 4. That way I end up with 1 ... 4 instead of 1, 2, 4, and 8.
>
> Is there some slick way to do this?
>
> Thanks
>
>
Not sure how slick this is, but I would do it thus:
dicts = [{'column':1}, {'column':2}, {'column': 4}, {'column': 8},
{'column':4}]
vals = list(set(d['column'] for d in dicts))
vals.sort()
amap = dict((b,a) for (a,b) in enumerate(vals))
for d in dicts:
d['column'] = amap[d['column']] + 1
The "1" in the last line comes from your requirement to start numbering
at 1 instead of 0.
--
James Stroud
UCLA-DOE Institute for Genomics and Proteomics
Box 951570
Los Angeles, CA 90095
http://www.jamesstroud.com/
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