Jeff Whitaker wrote:
Jesper Larsen wrote:
Hi matplotlib users,
I'm using matplotlib for a long running process. Unfortunately the memory
usage continue to grow as the process runs. I have appended a simple example
which illustrates this at the end of this mail. Unfortunately I haven't
figured out how to use the information obtainable from gc for anything useful
in this regards.
[...]
Jesper: Looks to me like the memory leak is not in Basemap, but somehow
the fig.clear() is not working properly. Replacing the fig.clear() with
pylab.gca() gets rid of the memory leak. I will investigate further ...
-Jeff
Jeff, this might be related to the leak illustrated in the attached
script, based on an earlier report. (I don't recall who reported it.)
Eric
#!/usr/bin/env python
'''
This illustrates a leak that occurs with any interactive backend.
'''
import os, sys, time
import matplotlib
matplotlib.use('GtkAgg') # or TkAgg or WxAgg
import pylab
def report_memory(i):
pid = os.getpid()
a2 = os.popen('ps -p %d -o rss,sz' % pid).readlines()
print i, ' ', a2[1],
return int(a2[1].split()[1])
# take a memory snapshot on indStart and compare it with indEnd
indStart, indEnd = 30, 201
for i in range(indEnd):
pylab.figure(1)
pylab.close(1)
val = report_memory(i)
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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