thanks for the answer. it's slow, but acceptable. If it was possible to update it faster, that would have been better, but it's ok.
I do not know if it's because of pyqt or not, but the self.fig.canvas.draw() takes around 1s, and then, there is another extra time before the plot actually get updated. I mean, visually. 2010/9/8 Philippe Crave <philippe.cr...@gmail.com>: > ---------- Forwarded message ---------- > From: Eric Firing <efir...@hawaii.edu> > Date: 2010/9/8 > Subject: Re: [Matplotlib-users] draw after set_data > To: matplotlib-users@lists.sourceforge.net > > > On 09/07/2010 07:33 PM, Philippe Crave wrote: >> hi, >> >> sorry to bring this up again. >> style haven't found how to draw my plot faster than >> self.fig.canvas.draw(), after a set_data() > > If you need to change the scale of the plot when you update the data, > then I don't see any alternative to redoing the whole plot. If that is > too slow, then mpl may simply be the wrong tool for the job. Parts of > mpl have been nicely optimized for speed, but generating a large number > of subplots is not among them. I don't expect this will change any time > soon. The tick generation and labeling is the main time sink. If I > generate 20 blank subplots, with default ticks and labels, each draw > takes 420 ms on my machine. If I set all the ticks to the empty list, > it drops to 34 ms. > > Eric > >> >> thanks >> >> 2010/9/1 Philippe Crave<philippe.cr...@gmail.com>: >>> Hi, >>> >>> I use qt4 backend. >>> I update some lines doing something like that: >>> >>> def draw_curves(self, datas, x): >>> for y in datas: >>> self.lines[i].set_data(x, y) >>> min_y, max_y = self.min_max(y) >>> self.ax[i].axis((0, x[-1], min_y, max_y)) >>> #self.ax[i].draw_artist(self.lines[i]) >>> #self.fig.canvas.blit(self.ax[i].bbox) >>> self.fig.canvas.draw() >>> >>> >>> the self.fig.canvas.draw() is very slow. (I have 20 subplot in that figure). >>> I tried to use: >>> self.ax[i].draw_artist(self.lines[i]) >>> self.fig.canvas.blit(self.ax[i].bbox) >>> it's very fast. But it does not update the scale of the plot. >>> and it does not remove the old datas. >>> >>> Can someone help me on that ? >>> if I plot a sin(x) at first, I get it between 0 and 1. then, if I plot >>> 2.sin(x), it does not update the zoom to 0-2 >>> >>> thank you, >>> Philippe >>> >> >> ------------------------------------------------------------------------------ >> This SF.net Dev2Dev email is sponsored by: >> >> Show off your parallel programming skills. >> Enter the Intel(R) Threading Challenge 2010. >> http://p.sf.net/sfu/intel-thread-sfd >> _______________________________________________ >> Matplotlib-users mailing list >> Matplotlib-users@lists.sourceforge.net >> https://lists.sourceforge.net/lists/listinfo/matplotlib-users > > > ------------------------------------------------------------------------------ > This SF.net Dev2Dev email is sponsored by: > > Show off your parallel programming skills. > Enter the Intel(R) Threading Challenge 2010. > http://p.sf.net/sfu/intel-thread-sfd > _______________________________________________ > Matplotlib-users mailing list > Matplotlib-users@lists.sourceforge.net > https://lists.sourceforge.net/lists/listinfo/matplotlib-users > ------------------------------------------------------------------------------ This SF.net Dev2Dev email is sponsored by: Show off your parallel programming skills. Enter the Intel(R) Threading Challenge 2010. http://p.sf.net/sfu/intel-thread-sfd _______________________________________________ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
