Hi,
On Sat, Feb 11, 2012 at 10:56 PM, Dinesh B Vadhia <dineshbvad...@hotmail.com
> wrote:
> **
> Could the following be written without the direct for-loop?
>
> import numpy
> # numpy vector r of any data type and length, eg.
> r = numpy.ones(25, dtype='int')
> # s is a list of values (of any data type), eg.
> s = [47, 27, 67]
> # c is a list of (variable length) lists where the sub-list elements are
> index values of r and len(s) = len(c), eg.
> c = [[3, 6, 9], [6, 11, 19, 24], [4, 9, 11, 21 ]]
> # for each element in each sub-list c, add corresponding s value to the
> index value in r, eg.
> for i, j in enumerate(c):
> r[j] += s[i]
>
> So, we get:
> r[[3, 6, 9]] += s[0] = 1 + 47 = 48
> r[[6, 11, 19, 24]] += s[1] = 1 + 27 = 28
> r[[4, 9, 11, 21]] += s[2] = 1 + 67 = 68
>
> ie. r = array([ 1, 1, 1, 95, 68, 1, 122, 1, 1, 162, 1,
> 95, 1, 1, 1, 1, 1, 1, 1, 28, 1, 68, 1, 1, 28])
>
> Thank-you!
>
Could you describe more detailed manner about why you want to get rid of
that loop? Performance wise? If so, do you have profiled what's
the bottleneck?
Please provide also a more detailed description of your problem, since now
your current spec seems to yield:
r= array([ 1, 1, 1, 48, 68, 1, 75, 1, 1, 115, 1, 95, 1,
1, 1, 1, 1, 1, 1, 28, 1, 68, 1, 1, 28])
My 2 cents,
-eat
>
>
>
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