On Wed, Sep 02, 2009 at 09:40:49AM +0200, "V. Armando Solé" wrote: > Let's say we have two arrays A and B of shapes (10000, 2000) and (10000, > 4000).
> If I do C=numpy.concatenate((A, B), axis=1), I get a new array of > dimension (10000, 6000) with duplication of memory. > I am looking for a way to have a non contiguous array C in which the > "left" (10000, 2000) elements point to A and the "right" (10000, 4000) > elements point to B. You cannot in the numpy memory model. The numpy memory model defines an array as something that has regular strides to jump from an element to the next one. Gaël _______________________________________________ NumPy-Discussion mailing list NumPy-Discussion@scipy.org http://mail.scipy.org/mailman/listinfo/numpy-discussion
