On Mon, Jun 18, 2012 at 11:55 AM, bob tnur <bobtnu...@gmail.com> wrote:
> Hi, > how I can convert (by adding zero) of any non-square numpy matrix in to > square matrix using numpy? then how to find the minimum number in each row > except the zeros added(for making square matrix)? ;) > > _______________________________________________ > NumPy-Discussion mailing list > NumPy-Discussion@scipy.org > http://mail.scipy.org/mailman/listinfo/numpy-discussion > > Hi Bob, I'm not quite sure what you're looking for (esp. the second question), but maybe something like the following? #~~~ example code import numpy as np nonsquare = np.random.random(size=(3, 5)) M, N = nonsquare.shape width = max(M, N) square = np.zeros((width, width)) square[:M, :N] = nonsquare min_rows = np.min(nonsquare, axis=1) #~~~ -Tony
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