On Dec 14, 2010, at 1:50 PM, Benjamin Root wrote:
On Tue, Dec 14, 2010 at 3:18 PM, Russell E. Owen <ro...@uw.edu> wrote:
I tried the test script on linux using matplotlib svn trunk rev8840
(which appears to include your patch) and found a leak that starts out
small but gets systematically larger. This is with Python 2.6.5 and
Tkinter built against Tcl/Tk 8.4.13.
Is anyone else seeing this?
time rss memory mem/sec
(sec) (kb) (kb/sec)
0.0 36816 nan
5.0 36860 nan
10.0 36860 0.0
15.1 36860 0.0
20.1 36860 0.0
25.1 36896 1.8
...
326.5 36896 0.1
331.6 36972 0.3
...
401.9 36972 0.3
406.9 36980 0.3
...
602.8 37684 1.4
607.8 37700 1.4
This is different behavior than on Mac OS X, but still alarming.
-- Russell
Russell,
I am curious, I recently ran into problems with mixing builds of
numpy and matplotlib at various levels of revisions. I eventually
had to do a complete clean rebuild. Note, what I mean by a complete
clean rebuild is that I removed the numpy and matplotlib source
directories and re-checkout the codes from source and then rebuild.
I would be curious if the problem persists after that.
An interesting question. I can say that this was a clean build of
matplotlib since I ran it "in place" (in build/lib.linux-x86_64-2.6/)
after building it rather than installing it in site-packages to avoid
messing up other users (on the linux system this was a shared python).
I modified the script to print matplotlib.__file__ to make sure I was
running the right version. I doubt it was a clean build of numpy. But
considering no numerics are occurring in this example (it is literally
just creating an Axes on a Canvas and calling canvas.draw()
repeatedly) do you think numpy could possibly come into this?
Might you run the script on your system with the clean build?
-- Russell
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