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
