On Wed, Jul 2, 2008 at 3:20 PM, laurent oget <[EMAIL PROTECTED]> wrote:
> I use the Pdf backend. I did do some digging in the GC module but have not
> found anything yet
Please keep all replies on list so others can contribute to the
discussion and future generations of googlers can benefit from it
(reply to all)
If you can provide a stand-along script that replicates the problem,
please post it. Our canonical memory leak testing script (attached)
does not appear to be leaking in my tests with the PDF backend.
#!/usr/bin/env python
import os, sys, time, gc
import matplotlib
matplotlib.use('PDF')
from matplotlib.cbook import report_memory
import matplotlib.numerix as nx
from pylab import figure, show, close
# take a memory snapshot on indStart and compare it with indEnd
rand = nx.mlab.rand
indStart, indEnd = 200, 401
for i in range(indEnd):
fig = figure(1)
fig.clf()
t1 = nx.arange(0.0, 2.0, 0.01)
y1 = nx.sin(2*nx.pi*t1)
y2 = rand(len(t1))
X = rand(50,50)
ax = fig.add_subplot(221)
ax.plot(t1, y1, '-')
ax.plot(t1, y2, 's')
ax = fig.add_subplot(222)
ax.imshow(X)
ax = fig.add_subplot(223)
ax.scatter(rand(50), rand(50), s=100*rand(50), c=rand(50))
ax = fig.add_subplot(224)
ax.pcolor(10*rand(50,50))
fig.savefig('tmp%d' % i, dpi = 75)
close(1)
gc.collect()
val = report_memory(i)
print i, val
if i==indStart: start = val # wait a few cycles for memory usage to stabilize
end = val
print 'Average memory consumed per loop: %1.4fk bytes\n' % ((end-start)/float(indEnd-indStart))
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