Re: [Matplotlib-users] Accelerating PDF saved plots

[Gökhan S. <gok...@gm...>]

On Thu, Jul 5, 2012 at 11:15 AM, Fabrice Silva <si...@lm...>wrote:

>
>
> > At end of the outer loop, instead of closing the figure, you should
> > call "remove()" for each plot element you made.  Essentially, as you
> > loop over the inner loop, save the output of the plot() call to a
> > list, and then when done with those plots, pop each element of that
> > list and call "remove()" to take it out of the subplot.  This will let
> > the subplot axes retain the properties you set earlier.
>
> Instead of remove()'ing the graphical elements, you can also reuse them
> if the kind of plots you intend to do is the same along the figure
> for simple plots. See : http://paste.debian.net/177857/


I was close to getting the script run as you pasted. (One minor correction
in your script is indexing L1 and L2, either L1[0] or L1, (comma) required
in the assignments since grid.plot returns a list) The key here was "reuse"
as you told.  Memory consumption almost drops to half comparing to the
test_speed2.py script run.  Now I am down to ~1 minutes from about ~4
minutes execution times, which is indeed quite significant, provided that I
experiment on 6 such 38 pages plots.

nums = 2
I1 time run test_speed3.py
CPU times: user 8.19 s, sys: 0.07 s, total: 8.26 s
Wall time: 8.49 s

nums=38
I1 time run test_speed3.py
CPU times: user 78.84 s, sys: 0.19 s, total: 79.03 s
Wall time: 80.88 s

Thanks Fabrice for your feedback.