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Hi all. i work mainly with “volume” (3d) images, and numpy.ndarray
answers most of my needs (addition of images, etc.). The problem I’m
faced now with is that I have images of matrices and vectors and would like that
when I do image_of_matrices * image_of_vector is does the dot product of each
of my matrices with all of my vectors, and when I do image_of_matrices.mean()
it gives me the mean matrix. Basically, I want the same functionalities that
are currently provided with scalars, but applied to matrices. It seems that a nice way of doing this is to have and
ndarray of numpy.matrix, but this isn’t supported it seems. Can anyone recommend
a good way of implementing this? I’m new with the numpy thing and I’m
not sure if subclassing ndarray is a good idea since I’ll have to
overload all the operators and i don’t believe this will result in a very
fast implementation, but I might be mistaken. Another possibility may be to
create a new dtype for numpy.matrix, but I don’t know if this is
possible. Anyone have recommandations? Thx for any help. Alex. NOTICE: This e-mail message and all attachments transmitted with it may contain legally privileged and confidential information intended solely for the use of the addressee. If the reader of this message is not the intended recipient, you are hereby notified that any reading, dissemination, distribution, copying, or other use of this message or its attachments, hyperlinks, or any other files of any kind is strictly prohibited. If you have received this message in error, please notify the sender immediately by telephone (+44-1865-265500) or by a reply to this electronic mail message and delete this message and all copies and backups thereof. |
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