> On Mon, May 18, 2009 at 10:23 AM, guillaume ranquet <granq...@wyplay.com> 
> wrote:
>> > I'm trying to get approx 4k points plotted into 5 subplots which I would
>> > like interactive (ie: ability to zoom/pan ...).
>> > there's nothing special except that the subplots share axe x.
>> >
>> >
>> > It gets some seconds (3 to 5) on a p4 dual core @ 3Ghz to pan/zoom. It
>> > seems utterly slow to me: what do you think? normal "rate" or flawed code?
>> > I tried using various backend, embedding it into qt4 ... nothing helped
>> > much.
>> >
>> > the code is quite fat atm (500 lines or so). I'll try to cut through the
>> > code to get an example in a few lines if it's said my code is flawed and
>> > the plotting rate should be way faster!
> 
> Instead of starting with your cod,e start from scratch and see if you
> can reproduce the problem.  If not, figure out what is different and
> work your way up.  Here is some test code -- note that Eric Firing
> made a contribution on the svn trunk that significantly speeds up this
> use case:
> 
> import numpy as np
> import matplotlib.pyplot as plt
> fig = plt.figure()
> Nplots = 5
> Npoints = 5000
> for i in range(Nplots):
>     if i==0:
>         ax = ax1 = fig.add_subplot(Nplots,1,i+1)
>     else:
>         ax = fig.add_subplot(Nplots,1,i+1, sharex=ax1)
> 
>     ax.plot(np.random.rand(Npoints))
> 
> ax.set_xlim(100, 200)
> plt.show()


I think I put a finger on what breaks the performance, thx to your
snippet of code.
I forgot to mention that I'm using some axvlines here and there (500 per
subplot).
it goes from slow to _unacceptably_ slow with the axvlines.

I'm using the axvlines to mark some events that I need to know about in
order to have an explanation of the variations of the curves.
any advice on what to use to replace those?
----
This message contains confidential information and may contain information that 
is legally privileged.  If you have received this message by mistake, please 
immediately notify us and delete the original message. Thank you.  

Ce message contient des informations confidentielles.  S'il vous est parvenu 
par erreur, merci de bien vouloir nous en aviser par retour, de n'en faire 
aucun usage et de n'en garder aucune copie.
----

------------------------------------------------------------------------------
Crystal Reports - New Free Runtime and 30 Day Trial
Check out the new simplified licensing option that enables 
unlimited royalty-free distribution of the report engine 
for externally facing server and web deployment. 
http://p.sf.net/sfu/businessobjects
_______________________________________________
Matplotlib-users mailing list
Matplotlib-users@lists.sourceforge.net
https://lists.sourceforge.net/lists/listinfo/matplotlib-users

Reply via email to