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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