I believe this is now fixed in r8691 (branch and trunk). Mike
On 09/03/2010 02:51 PM, Eric Firing wrote: > On 08/31/2010 01:08 AM, Jens Nie wrote: > >> Hi everyone. >> I face a problem here, which I can’t seem to handle by myself, so any >> help is really appreciated. >> I would like to do a simple line plot of a huge dataset as an overview >> to quickly compare success of different measurement scenarios, and it >> seems that not every datapoint is displayed. I played a little with the >> lod parameter, both for the creation of the axis and the plot command. >> However timing the plot command and the display itself do not show >> differences. Here are a few lines of code that help to reproduce the >> problem. >> > Jens, > > I'm confident this is the same bug as was reported more recently on the > list and the tracker: > > https://sourceforge.net/tracker/index.php?func=detail&aid=3058804&group_id=80706&atid=560720 > > That report will make it easier to debug because it illustrates the > problem with a relatively few points. > > > Eric > > >> import time >> import matplotlib >> matplotlib.use("Qt4Agg") >> import matplotlib.pyplot as plt >> import numpy as np >> xData=np.linspace(0, 10.0, 1e6) >> yData=np.zeros(xData.shape) >> xDataDetail=np.linspace(0.0, 2*np.pi, 1000) >> yDataDetail=np.exp(-xDataDetail)*np.sin(10.0*xDataDetail) >> yData[100000:100000+len(yDataDetail)]=yDataDetail >> fig=plt.figure() >> axes=fig.add_subplot(111) >> tic=time.time() >> axes.plot(xData, yData, "b-") >> toc=time.time() >> axes.grid(True) >> print "Plotting took %g s." % (toc-tic) >> plt.show() >> The code shows how I usually use the matplotlib environment and creates >> a simple dataset of 1 million zeros with a short non trivial peak >> within, that is to be plotted as a blue solid line. >> You can see what happens, when you vary the width of the displaying >> window. On my system usually the minimum amplitude varies when resizing >> the window. >> Is there any way to enforce plotting each and every point? >> I use matplotlib version 1.0.0 on a 32 Bit windows XP system installed >> via the windows installer from sf. >> A quick check on a opensuse 11.3 linux box showed the same issue. Using >> the “standard” TK backend instead of Qt4Agg behaves just the same. >> Jens >> >> >> >> ------------------------------------------------------------------------------ >> 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 > -- Michael Droettboom Science Software Branch Space Telescope Science Institute Baltimore, Maryland, USA ------------------------------------------------------------------------------ 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
