[Numpy-discussion] Summing indices of heterogeneous shapes
Michael Hoffman
b3i4old02@sneakemail....
Mon Apr 21 16:28:14 CDT 2008
In the following example I can sum up lists of column indices:
>>> x = numpy.arange(30)
>>> x.shape = (6, 5)
>>> x
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]])
>>> cols = [[0, 1], [2, 3]]
>>> x[:, cols].sum(2)
array([[ 1, 5],
[11, 15],
[21, 25],
[31, 35],
[41, 45],
[51, 55]])
Is there a way to do this if the shapes of the lists are heterogeneous?
For example, what if I wanted to set cols = [[0, 1], [2, 3], [1, 2, 3]]?
What's the best way to get a sensible result?
Thanks!
--
Michael Hoffman
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