[Numpy-discussion] Any idea to run the dot-product on many arrays
pascal22p at parois.net
Thu Jan 13 11:13:24 EST 2011
On 01/13/2011 05:04 PM, EMMEL Thomas wrote:
> I need to rotate many vectors (x,y,z) with a given rotation matrix (3x3).
> I can always do
> for v in vectors:
> tv += np.dot(mat, v)
> where mat is my fixed matrix (or array of arrays) and v is a single array.
> Is there any efficient way to use an array of vectors to do the
> for all of these vectors at once?
numpy.dot(rotationmatrix , coordinates.T).T
Where coordinates is a n*3 matrix of n stacked vectors in rows. It works
with vectors stacked in column without the the two transpose.
It's even possible to apply a symmetry operation to a bunch of second
rank tensors in one go.
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