guillaume ranquet wrote: >> 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).
(That's quite a lot...) > it goes from slow to _unacceptably_ slow with the axvlines. > Yes, it is generating a lot of draw events. > 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? Possibilities include a LineCollection, or a single line with markers. I suspect a single line with masked points used to break it up into vertical segments would also work, although I don't know how fast it would be. The markers approach would be fastest, I suspect. Eric > ---- > 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 thanks for your help, I got it solved ! turning the axvline()s into a LineCollection gave a slight improvement ... but switching to wxPython gave a great boost of performance! I guess there's a performance problem with embedding in QT4? my problem is solved since Wx will do as go as QT. :) ---- 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
