memory problem in imshow

Hi,
I am using imshow to illustrate the content of arrays. But I am having
problems when arrays are too large. There seem to be a limitation that is
not due to the computer memory size. My data are unsigned integer 1 byte and
I am limited to array of about 12000 x 5000.
When trying with a 16000 x 5000 array, my 4 GB computer got very slow and
never perform the creation of the image. After 10 minutes, I have to kill
the process. On a 16 GB computer, I've got a segmentation fault message. The
size limitation are approximately the same on both computers.

I found a solution by calling twice the imshow function with only part of
the array each time. But I think there might be a better solution.

My feeling is that the limitation is not due to matplotlib or python but
rather from gtk or other part of the imaging tools.

Steve

···

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What version of mpl are you using? There was a bug fixed over the
summer regarding seg faults and memory usage.

Ben Root

···

On Monday, December 13, 2010, usherbsallen <steve.allen@...3372...> wrote:

Hi,
I am using imshow to illustrate the content of arrays. But I am having
problems when arrays are too large. There seem to be a limitation that is
not due to the computer memory size. My data are unsigned integer 1 byte and
I am limited to array of about 12000 x 5000.
When trying with a 16000 x 5000 array, my 4 GB computer got very slow and
never perform the creation of the image. After 10 minutes, I have to kill
the process. On a 16 GB computer, I've got a segmentation fault message. The
size limitation are approximately the same on both computers.

I found a solution by calling twice the imshow function with only part of
the array each time. But I think there might be a better solution.

My feeling is that the limitation is not due to matplotlib or python but
rather from gtk or other part of the imaging tools.

Steve
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View this message in context: http://old.nabble.com/memory-problem-in-imshow-tp30446084p30446084.html
Sent from the matplotlib - users mailing list archive at Nabble.com.

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