Re: [Matplotlib-users] Accelerating PDF saved plots

[Benjamin R. <ben...@ou...>]

On Thu, Jul 5, 2012 at 1:45 PM, Gökhan Sever <gok...@gm...> wrote:

>
>
> 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.
>
>
38 * 16 = 608
80 / 608 = 0.1316 seconds per plot

At this point, I doubt you are going to get much more speed-ups.  Glad to
be of help!

Fabrice -- Good suggestion!  I should have thought of that given how much I
use that technique in doing animation.

Ben Root