On Fri, Jul 31, 2009 at 12:53 AM, Nicolas Rougier<[email protected]> wrote: > > > Hello, > > I've been using record arrays to create arrays with different types > and since I'm doing a lot of computation on each of the different > fields, the default memory layout does not serve my computations. > Ideally, I would like to have record arrays where each field is a > contiguous block of memory.
I don't think you can do it with record arrays: one of the fundamental design choice of numpy array layout is that the data pointer points to one block of N items, where each item is described by the dtype. To have contiguous layout for each member of the structured dtype, you need two arrays with the corresponding dtype. cheers, David _______________________________________________ NumPy-Discussion mailing list [email protected] http://mail.scipy.org/mailman/listinfo/numpy-discussion
