Oh and I forgot to mention: I want to specify the axis so that it is possible to multiply x along an arbitrary axis of a (given that the lengths match). On 29.06.2011 16:32, Robert Elsner wrote:
Hello everyone,
I would like to solve the following problem (preferably without reshaping / flipping the array a).
Assume I have a vector v of length x and an n-dimensional array a where one dimension has length x as well. Now I would like to multiply the vector v along a given axis of a.
Some example code
a = np.random.random((2,3)) x = np.zeros(2)
a * x # Fails because not broadcastable
So how do I multiply x with the columns of a so that for each column j a[:,j] = a[:,j] * x
without using a loop. Is there some (fast) fast way to accomplish that with numpy/scipy?
Thanks for your help Robert Elsner
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