A snippet of code does not help much. Please try to post a small concise standalone example that we can run and test.
A general advise is to try to reduce the number of plot call, i.e., plot as may points as possible with a single plot call. However, 50million points seems to be awful a lot. 6 inch x 6 inch figure with dpi=100 has 0.36 million number of pixels. My guess is that it makes little sense to plot 50 million points here. Anyhow, plotting 50million points with a single plot call dies with some segfault error in my machine. So, I feel that matplotlib may not be suitable for your task. But, John or others may have some insight how to deal with. Regards, -JJ On Tue, Jun 30, 2009 at 1:22 PM, Markus Feldmann<feldmann_mar...@gmx.de> wrote: > Hi All, > > my program lets slow down my cpu. This only appears if i plot to much > points. I am not sure how many point i need to get this, normally i plot > 3*14e6 + 8e3, that is round about 50million points. My system is a > dual core 2GHz cpu with 2Gbyte Ram. > > Here is my method to plot, > def drawtransientall(self,min): > self.subplot = self.figure.add_subplot(111) > self.subplot.grid(True) > list_t1,list_peaks,t2,list_samples = > self.computetransientall(min,min+self.maxitems) > offset = 0 > color = ['green','red','blue','magenta','cyan'] > markerPeaks = ['v','<','1','3','s'] > markerSamples = ['^','>','2','4','p'] > self.plots=[[],[]] > for i in range(len(self.showBands)): > self.plots[0] += > self.subplot.plot(list_t1[i],list_peaks[i],color=color[i],marker=markerPeaks[i], > linestyle='None') > self.plots[1] += > self.subplot.plot(t2,list_samples[i]+offset,color=color[i], > > marker=markerSamples[i],linestyle='None') > offset +=1 > > self.subplot.set_xlim(t2[0]-np.abs(t2[-1]-t2[0])/100,t2[-1]+np.abs(t2[-1]-t2[0])/100) > ymax = np.amax(list_samples) > ymin = np.amin(list_samples) > self.subplot.set_ylim([ymin-np.abs(ymin)*0.1, ymax*1.2 + 2]) > self.subplot.set_ylabel("abs(Sample(t)) und > abs(Peak(t)+Offset)-->",fontsize = 12) > self.subplot.set_xlabel("Zeit in Sek. -->",fontsize = 12) > > Any ideas how to avoid the slow down of my cpu ? > > regards Markus > > > ------------------------------------------------------------------------------ > _______________________________________________ > Matplotlib-users mailing list > Matplotlib-users@lists.sourceforge.net > https://lists.sourceforge.net/lists/listinfo/matplotlib-users > ------------------------------------------------------------------------------ _______________________________________________ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users