[Numpy-discussion] Aggregate memmap

David Huard david.huard@gmail....
Thu Apr 22 21:57:39 CDT 2010

Hi Matt,

I don't think the memmap code support this. However, you can stack memmaps
just as easily as arrays, so if you define individual memmaps for each slice
and stack them (numpy.vstack), the resulting array will behave as a regular
3D array.


David H.

On Wed, Apr 21, 2010 at 3:41 PM, Matthew Turk <matthewturk@gmail.com> wrote:

> Hi there,
> I've quite a bit of unformatted fortran data that I'd like to use as
> input to a memmap, as sort of a staging area for selection of
> subregions to be loaded into RAM.  Unfortunately, what I'm running
> into is that the data was output as a set of "slices" through a 3D
> cube, instead of a single 3D cube -- the end result being that each
> slice also contains a record delimiter.  I was wondering if there's a
> way to either specify that every traversal through the least-frequent
> dimension requires an additional offset or to calculate individual
> offsets for each slice myself and then aggregate these into a "super
> memmap."
> Thanks for any suggestions you might have!
> -Matt
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