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Date: Wed, 06 Aug 2014 09:04:16 +0100
From: Wojciech Giel <wojtekgiel@gmail.com>
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Subject: Re: Pythonic way to iterate through multidimensional space?
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Xref: csiph.com comp.lang.python:75785

You might check numpy it is really powerful tool for working with multi 
dimensional arrays:

ex.
 >>> a = arange(81).reshape(3,3,3,3)
 >>> a

array([[[[ 0,  1,  2],
          [ 3,  4,  5],
          [ 6,  7,  8]],

         [[ 9, 10, 11],
          [12, 13, 14],
          [15, 16, 17]],

         [[18, 19, 20],
          [21, 22, 23],
          [24, 25, 26]]],


        [[[27, 28, 29],
          [30, 31, 32],
          [33, 34, 35]],

         [[36, 37, 38],
          [39, 40, 41],
          [42, 43, 44]],

         [[45, 46, 47],
          [48, 49, 50],
          [51, 52, 53]]],


        [[[54, 55, 56],
          [57, 58, 59],
          [60, 61, 62]],

         [[63, 64, 65],
          [66, 67, 68],
          [69, 70, 71]],

         [[72, 73, 74],
          [75, 76, 77],
          [78, 79, 80]]]])

 >>> f = a.flat
 >>> for i in f:
...    print(i)
0
1
2
..
98
99

cheers
Wojciech



On 05/08/14 21:06, Frank Miles wrote:
> I need to evaluate a complicated function over a multidimensional space
> as part of an optimization problem.  This is a somewhat general problem
> in which the number of dimensions and the function being evaluated can
> vary from problem to problem.
>
> I've got a working version (with loads of conditionals, and it only works
> to #dimensions <= 10), but I'd like something simpler and clearer and
> less hard-coded.
>
> I've web-searched for some plausible method, but haven't found anything
> "nice".  Any recommendations where I should look, or what technique should
> be used?
>
> TIA!