Hello,
On Wed, May 20, 2009 at 12:31 PM, Jurgis Pralgauskis
<jurgis.pralgaus...@gmail.com> wrote:
>
> Hello,
>
> what would be the best (and shortest) way to convert
> sage matrix (like matrix([[1, 2], [3, 4]]) )
>
> to numpy array:
> numpy.array([[1, 2], [3, 4]])
You can do the following:
sage: m = matrix([[1, 2], [3, 4]])
sage: m.numpy()
array([[1, 2],
[3, 4]], dtype=object)
sage: m.numpy(float)
array([[ 1., 2.],
[ 3., 4.]])
sage: m.numpy(int)
array([[1, 2],
[3, 4]])
> or is there any other way to multiply sage matrix per member ?
There is currently not a way to do this (primarily since it doesn't
really come up in linear algebra.)
--Mike
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