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 > > _______________________________________________ > NumPy-Discussion mailing list > NumPy-Discussion@scipy.org > http://mail.scipy.org/mailman/listinfo/numpy-discussion _______________________________________________ NumPy-Discussion mailing list NumPy-Discussion@scipy.org http://mail.scipy.org/mailman/listinfo/numpy-discussion
