I have a proposed solution here:

https://github.com/matplotlib/matplotlib/pull/872

Git bisect found that the first commit where this happens was here:

https://github.com/matplotlib/matplotlib/commit/4cd75cdf

This is the script I used to reproduce -- I assume it's the same thing you're seeing:

from matplotlib import pyplot as plt
import numpy as np

x = np.linspace(0, 3.14 * 2, 3000)
y = np.sin(x)
x[::100] = np.nan
plt.plot(x, y)
plt.ylim(-0.25, 0.25)
plt.show()

Mike

On 05/16/2012 10:44 AM, Gökhan Sever wrote:
Hi Mike,

Could you inform me about your progress? I can test your sample script. I was thinking to test from v1.1.x branch downwards to spot the source of the issue, but I just don't know how to clone at particular commit in git.

Thank you.

On Wed, May 16, 2012 at 6:51 AM, Michael Droettboom <md...@stsci.edu <mailto:md...@stsci.edu>> wrote:

    Nevermind -- I've got something to reproduce this and am looking
    into it now.

    Mike


    On 05/16/2012 08:13 AM, Michael Droettboom wrote:
    On 05/15/2012 07:57 PM, Gökhan Sever wrote:
    Hello,

    I have encountered a weird plotting issue recently using a
    recent mpl clone. See the linked pdfs for better demonstration
    of the issue:

    http://atmos.uwyo.edu/~gsever/data/vocals_RF04_NU05_newmpl.pdf
    <http://atmos.uwyo.edu/%7Egsever/data/vocals_RF04_NU05_newmpl.pdf>
    http://atmos.uwyo.edu/~gsever/data/vocals_RF04_NU05_oldmpl.pdf
    <http://atmos.uwyo.edu/%7Egsever/data/vocals_RF04_NU05_oldmpl.pdf>


    newmpl file is created using the latest master branch (cloned
    and setup today)
    oldmpl is created using mpl v1.1.0
    (https://github.com/downloads/matplotlib/matplotlib/matplotlib-1.1.0.tar.gz)

    Scroll down to page 4 in each file and you will see the wrong
    plotted behavior of alwp_lcl (black line) variable on newmpl
    file comparing to the correct version that is shown on oldmpl.

    I was trying to figure out a way to correct this and I raised
    y-axis max to 2400 and then the line looks fine. However I have
    other data that show similar wrong behaviors, so I decided to
    try earlier mpl versions since I know that those plots were
    looking correct earlier (at least a few months back). Trying
    v1.1.x branch gave me the same results. Note that these data
    contain "nans". Are nan handling changed in recent mpl code or
    the way the data is plotted out of margins? I can't reproduce
    this with synthetic data.

    There have been changes to that code lately.  Is there any way
    you can pack up a small script and data to reproduce this?  Then
    I can poke at it and see what I find (it would also make a good
    regression test).

    Mike


    
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--
Gökhan

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