Scott Oertel wrote:
> #!/usr/bin/env python
>
> data = {}
> lrgColumn = 0
>
> for line in open("test.txt","r").read().splitlines():
> char = line[0].lower()
> if not char in data:
> data[char] = [line]
> else:
> data[char].append(line)
I like
data.setdefault(char, []).append(line)
instead of the four lines above.
>
> for item in data:
> print item.ljust(10),
> if len(data[item]) > lrgColumn:
> lrgColumn = len(data[item])
> print
>
> for item in range(lrgColumn):
> for i in data.iteritems():
> try:
> print i[1][item].ljust(10),
If you used data.itervalues() then it would be just
print i[item].ljust(10),
> except IndexError:
> print "".ljust(10),
> print
To get the data in row order you can use
map(None, *data.values())
This will give a list of rows with None in the blank spots.
You might like one of these recipes for the actual table output:
http://aspn.activestate.com/ASPN/Cookbook/Python/Recipe/267662
http://aspn.activestate.com/ASPN/Cookbook/Python/Recipe/519618
Kent
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