Dear all, Sorry if that's a noob question, but anyway. I have several thousands of vectors stacked in 2d array. I'd like to get new array containing Euclidean norms of these vectors and get the vector with minimal norm.
Is there more efficient way to do this than argmin(array([sqrt(dot(x,x)) for x in vec_array]))? Thanks in advance. Andrey. _______________________________________________ NumPy-Discussion mailing list NumPy-Discussion@scipy.org http://mail.scipy.org/mailman/listinfo/numpy-discussion
