Thanks. Is there a place where these sorts of issues can be submitted for
review / fixes? I'm totally willing to take a look at possible solutions if
someone points me in the right direction. Thanks.
On Thu, Oct 20, 2011 at 10:52 PM, Eric Firing <efir...@hawaii.edu> wrote:
> 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
>
>
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demand for specialized networking skills is growing even more rapidly.
Take a complimentary Learning@Cisco Self-Assessment and learn
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