Re: [Matplotlib-users] How to get all data points plotted/displayed in a line plot

[Eric F. <ef...@ha...>]

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
>
>
>
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