Re: [Numpy-discussion] Memory layout of record arrays

On Fri, Jul 31, 2009 at 12:53 AM, Nicolas Rougier 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