For example say we have an original array a=np.random.random((512, 512, 3)) and we take a slice of that array b=a[:100, :100, :]
now, b is discontiguous, but all if its memory is owned by a. Will there ever be a situation where a discontiguous array owns its own data? Or more generally, will discontiguous data alway have a contiguous parent? As far as i understand the numpy strided model, that could only be supported if len(strides) = ndim+1, I dont think numpy supports that. Don't get me wrong, I'm not making a feature request, just making sure I fully understand the array model so I can avoid trampling on memory. Cheers! Chris _______________________________________________ NumPy-Discussion mailing list NumPy-Discussion@scipy.org http://mail.scipy.org/mailman/listinfo/numpy-discussion
