On Mon, 25 Apr 2011 16:48:42 -0700, Raymond Hettinger wrote:
> Here's a handy utility function for you guys to play with:
>
> http://code.activestate.com/recipes/577676/
Nice.
That's similar to itertools.groupby except that it consolidates all the
equal key results into one list, instead of in consecutive runs.
Also groupby returns iterators instead of lists, which makes it a PITA to
work with. map_reduce is much more straightforward to use.
Example given in the code:
>>> map_reduce(range(30), even_odd)
{0: [10, 12, 14, 16, 18, 20], 1: [11, 13, 15, 17, 19]}
>>> [(key[0], list(group)) for key,group in groupby(range(30), even_odd)
if key is not None]
[(0, [10]), (1, [11]), (0, [12]), (1, [13]), (0, [14]), (1, [15]), (0,
[16]), (1, [17]), (0, [18]), (1, [19]), (0, [20])]
So... when can we expect map_reduce in the functools module? :)
--
Steven
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