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| References | <71ecb9ec-5d8c-4503-a75b-1d4aeca79b08@googlegroups.com> <mailman.17484.1420745315.18130.python-list@python.org> <719d2a22-6c41-467c-a046-0a53704953c6@googlegroups.com> |
|---|---|
| From | Ian Kelly <ian.g.kelly@gmail.com> |
| Date | 2015-01-08 18:36 -0700 |
| Subject | Re: Can numpy do better than this? |
| Newsgroups | comp.lang.python |
| Message-ID | <mailman.17492.1420767434.18130.python-list@python.org> (permalink) |
On Thu, Jan 8, 2015 at 6:13 PM, Rustom Mody <rustompmody@gmail.com> wrote:
> With that I came up with the expression
>
> transpose(array([list(roll(mat[:,i],i,0)) for i in range(mat.shape[1])]))
>
> Not exactly pretty.
> My hunch is it can be improved??...
Hmm, you could use the column_stack constructor to avoid having to
transpose the array.
>>> np.column_stack(np.roll(mat[:,i],i,0) for i in range(mat.shape[1]))
array([[ 1, 38, 33, 28, 23, 18],
[ 7, 2, 39, 34, 29, 24],
[13, 8, 3, 40, 35, 30],
[19, 14, 9, 4, 41, 36],
[25, 20, 15, 10, 5, 42],
[31, 26, 21, 16, 11, 6],
[37, 32, 27, 22, 17, 12]])
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Can numpy do better than this? Rustom Mody <rustompmody@gmail.com> - 2015-01-08 09:56 -0800
Re: Can numpy do better than this? Ian Kelly <ian.g.kelly@gmail.com> - 2015-01-08 12:27 -0700
Re: Can numpy do better than this? Rustom Mody <rustompmody@gmail.com> - 2015-01-08 17:13 -0800
Re: Can numpy do better than this? Rustom Mody <rustompmody@gmail.com> - 2015-01-08 17:19 -0800
Re: Can numpy do better than this? Ian Kelly <ian.g.kelly@gmail.com> - 2015-01-08 18:36 -0700
Re: Can numpy do better than this? Rustom Mody <rustompmody@gmail.com> - 2015-01-08 17:45 -0800
Re: Can numpy do better than this? Nobody <nobody@nowhere.invalid> - 2015-01-11 04:12 +0000
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