On Tue, Dec 14, 2010 at 4:06 PM, Russell Owen <ro...@uw.edu> wrote:
> 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?
>
>
It is quite possible. Numpy is used extensively throughout the matplotlib
system, regardless of whether you are using it or not. Also, the fact that
you are on a shared system is interesting. For those situations, try doing
"python setupegg.py develop --user"
for the build command. What this does is builds everything in-place (the
build directory symbolically links to those files), and then uses your
~/.local directory to install an egg.lnk file to point back to the build
directory. This should have higher search precedence than the system
install of matplotlib and numpy.
Note, I had mixed success with this approach on a RHEL (5?) system
recently. I don't know how recently ~/.local became widely accepted among
various distros.
> Might you run the script on your system with the clean build?
>
> -- Russell
>
>
I will give it a shot (once my other analysis programs are done for the
day).
Ben Root
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