[re-sending with also the 3rd patch file, sorry]
Hi,
I am drawing some barcharts and scatter plot and the speed for rendering is
awful once you have
100 000 of dots. I ran python profiler which lead me to .startswith() calls and
some for loops
which append do a list repeatedly. This parts coul
Hi,
I am drawing some barcharts and scatter plot and the speed for rendering is
awful once you have
100 000 of dots. I ran python profiler which lead me to .startswith() calls and
some for loops
which append do a list repeatedly. This parts could be still sped up I think
but a first attempt
is
Hi Martin,
Thanks for this - we are really interested in speeding up the scatter and
barchart plotting with large data sets. In fact, we've done some work (
https://github.com/matplotlib/matplotlib/pull/2156) recently to make the
situation better.
I'd really like to review these changes (against
Hi Phil,
Phil Elson wrote:
> Hi Martin,
>
> Thanks for this - we are really interested in speeding up the scatter and
> barchart plotting with large data sets. In fact, we've done some work
> (https://github.com/matplotlib/matplotlib/pull/2156) recently to make the
> situation better.
>
> I'd
On Fri, Aug 9, 2013 at 9:04 AM, Martin Mokrejs
wrote:
> Hi Phil,
>
> Phil Elson wrote:
> > Hi Martin,
> >
> > Thanks for this - we are really interested in speeding up the scatter
> and barchart plotting with large data sets. In fact, we've done some work (
> https://github.com/matplotlib/matplotl
Hi Ben,
thank your for your comments. OK, here are revised patches. I see a hot spot
in artist.py where the getattr() calls are too expensive. Actually, those under
the callable() path.
793 class ArtistInspector:
817 def get_aliases(self):
818 """
819 Get a dict mapping
On Fri, Aug 9, 2013 at 11:15 AM, Martin Mokrejs wrote:
> Hi Ben,
> thank your for your comments. OK, here are revised patches. I see a hot
> spot
> in artist.py where the getattr() calls are too expensive. Actually, those
> under
> the callable() path.
>
>
Ah, yes... one of the biggest warts in