On 01/13/2011 05:04 PM, EMMEL Thomas wrote: > Hi, > > 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 > transfomation > 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. Pascal _______________________________________________ NumPy-Discussion mailing list [email protected] http://mail.scipy.org/mailman/listinfo/numpy-discussion
