Hi,
a friend gave me the little example I attached.
He uses 'gca().images = []' to delete the images. I'm not sure about memory
usage of that method, but I think deleting images (using clf() or the above
way) is quite important, because otherwise one more image is drawn above the
existing ones.
best regards,
Matthias
>----------------------------------------------------------------------------------------------------------
import pylab
import numpy
N = 100 # to generate a matrix
A = numpy.ones(N)[numpy.newaxis, :]*numpy.arange(N)[:, numpy.newaxis]/(N-1)
pylab.figure(0)
ax = pylab.subplot(111)
for item in pylab.cm.cmapnames[:3]: # plot some cmap examples
print " doing cm." + item
eval("pylab.imshow(A, cmap=pylab.cm."+item+", interpolation='nearest')")
pylab.savefig(item+'.png')
ax.images = [] # delete images
>---------------------------------------------------------------------------------------------------------
On Tuesday 24 April 2007 00:48, [EMAIL PROTECTED] wrote:
> I'm producing series of plots (spectograms) in a program loop using imshow
> and saving each plot to .png. Even though I close() each plot after each
> savefig(...), the memory does not appear to be freed up, and the memory
> useage goes up and up as the program runs (and stalls the computer as it
> thrashes the page file).
>
> This is the essence of the code:
>
> for i in range(..):
> pylab.imshow(logPSDs[i]...)
> pylab.colorbar()
> pylab.savefig(plotName[i])
> pylab.close()
>
> Is there anything that I should be doing to stop this memory "wastage"?
> (The plots themselves are fantastic!)
>
> UNITED GROUP
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