On 10/20/2011 03:47 PM, John Gu wrote:
> Hello,
>
> I'm using version 1.0.1 of matplotlib on a linux machine. uname -a
> returns the following: Linux jgulinux 2.6.35.14-95.fc14.x86_64 #1 SMP
> Tue Aug 16 21:01:58 UTC 2011 x86_64 x86_64 x86_64 GNU/Linux.
>
> [jgu@jgulinux ~/.matplotlib]$ cat matplotlibrc
> backend : TkAgg
> interactive : True
>
> Program that reproduces the problem (run in ipython):
>
> x = arange(1000)
> y = x
>
> f = figure(1)
> for ia in xrange(5):
> for ib in xrange(5):
> ax = subplot(5,5,ia*5+ib+1, navigate=True)
> ax.plot(x,y)
>
> If we now tried to interactively navigate through any single subplot of
> the figure, it is extremely slow. Not sure if this is a configuration
> error on my side?
No, and it is not backend-dependent, either. And it does not even
require that all of the plots have data--it is the same if only the last
subplot has data. A little experimentation indicates that all the ticks
and tick labels on the other subplots are slowing down the interaction
with the one subplot being navigated.
ax.tick_params(labelbottom=False, labelleft=False)
ax.tick_params(left=False, right=False, top=False, bottom=False)
Insert the above to turn off ticks and tick labels, and it speeds up
nicely. That's not a solution, I realize.
I knew that slowness in the tick and tick label generation was a major
bottleneck in subplot creation, but I did not realize that it had such
an effect on interactive manipulation of a single subplot.
Eric
>
> John
------------------------------------------------------------------------------
The demand for IT networking professionals continues to grow, and the
demand for specialized networking skills is growing even more rapidly.
Take a complimentary Learning@Cisco Self-Assessment and learn
about Cisco certifications, training, and career opportunities.
http://p.sf.net/sfu/cisco-dev2dev
_______________________________________________
Matplotlib-users mailing list
[email protected]
https://lists.sourceforge.net/lists/listinfo/matplotlib-users
