[Numpy-discussion] Memory errors

[Vikalpa Jetly]

I am reading a very large array (~9000,11000) of 1 byte image values. I need
to change values in the array that meet a certain condition so I am running
something like:

b = numpy.where(a>200,0,1)

to create a new array with the changed values. However, I get a
"MemoryError" everytime I try this. I have over 3gb of RAM on my machine
(most of which is available). The process runs fine on smaller datasets. Is
there a maximum array size that numpy handles? Any alternatives/workarounds?

Thanks.
Vikalpa

-----Original Message-----
From: numpy-discussion-bounces at lists.sourceforge.net
[mailto:numpy-discussion-bounces at lists.sourceforge.net] On Behalf Of A. M.
Archibald
Sent: Thursday, October 05, 2006 5:02 PM
To: Discussion of Numerical Python
Subject: Re: [Numpy-discussion] Hello and my first patch

On 05/10/06, Travis Oliphant <oliphant at ee.byu.edu> wrote:

> I think a hybrid for weave / f2py / ctypes that allows "inlining in
> multiple languages" as well as automatic extension module generation for
> "already-written" code is in order.

It might make sense to also include SWIG (since that seems to be a
popular choice for wrapping "already-written" C and C++ code).

A. M. Archibald

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