Whoops! I copied in the users mailing list by accident. Stupid iPhone gmail
app is stupid.
I might have possibly ruined the rc3 surprise. Sorry about that.
-- Forwarded message --
From: *Damon McDougall*
Date: Tuesday, October 30, 2012
Subject: [matplotlib-devel] Delaying rc3 (aga
On 10/30/2012 8:54 AM, Michael Droettboom wrote:
> Agreed! Thanks to everyone for their hard work. I think this has
> shaped up to be a great release.
>
> I'm fortunate to have power and connectivity today, so I was able to get
> a release tested, tagged and uploaded.
>
> To our binary builders:
In article <508ff830.3050...@stsci.edu>,
Michael Droettboom
wrote:
> Agreed! Thanks to everyone for their hard work. I think this has
> shaped up to be a great release.
>
> I'm fortunate to have power and connectivity today, so I was able to get
> a release tested, tagged and uploaded.
>
Agreed! Thanks to everyone for their hard work. I think this has
shaped up to be a great release.
I'm fortunate to have power and connectivity today, so I was able to get
a release tested, tagged and uploaded.
To our binary builders: as able, it would be great to put the binaries
up (or se
> Given the severe weather approaching this area, I
won't have a chance to test and get out an 1.2.0rc3 candidate until at
least Thursday.
Very pleased to see that you have weathered the storm and are back
githubbing!
There are no more PRs in the 1.2.x milestone (
https://github.com/matplotlib/ma
Yep, I can confirm this but the story is a bit different on my side since the
.png is wrong but not the .pdf (only ok with Acrobat Reader though):
import numpy as np
import matplotlib
matplotlib.use('Agg')
import matplotlib.pyplot as plt
n = 16
fig = plt.figure(figsize=(6,6))
Z = np.zeros((n,n
In reply to message from Nicolas Rougier, dated Tuesday 30 of October 2012,
on subject "Re: [matplotlib-devel] Misalignment imshow vs. grid lines"
> You're right. Using 'none' interpolation seems to solve the problem. Good
> to know !
Unfortunately it does not! It only makes problem less pronounc
Thanks for making this so easy to reproduce. It is so much easier when
there is a small, self contained, correct example!
Initially I was thinking that the problem was some kind of snapping issue
with the ticks, but it turns out, if you change the interpolation scheme to
"none", you get perfect al
Sorry, I was too fast in my reply.
When I save the figure, the png output is ok while the pdf is displaying some
kind of interpolation with the image.
import numpy as np
import matplotlib
matplotlib.use('Agg')
import matplotlib.pyplot as plt
n = 16
fig = plt.figure(figsize=(6,6))
Z = np.array
