Hi all,
I just noticed that colorbar edges are drawn in white when output in PDF and black when output in PNG. A small test script is attached along with the output to show the difference.
I’d be interested in knowing if others can reproduce this? I’m using mpl-1.3.x (updated 5 minutes ago) on 64-bit Ubuntu 12.04.
Cheers,
Andrew
bug.py (538 Bytes)
test.pdf (47.1 KB)
I confirm on 1.2.x. on OSX 10.7.5.
Nicolas
On Oct 31, 2012, at 17:20 , Andrew Dawson wrote:
Hi all,
I just noticed that colorbar edges are drawn in white when output in PDF and black when output in PNG. A small test script is attached along with the output to show the difference.
I'd be interested in knowing if others can reproduce this? I'm using mpl-1.3.x (updated 5 minutes ago) on 64-bit Ubuntu 12.04.
Cheers,
Andrew
<bug.py><test.png><test.pdf>------------------------------------------------------------------------------
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I used git bisect to work out where this first happens and it says https://github.com/matplotlib/matplotlib/commit/4dd3de1b580ac0d7dc53bcca396ba1bf25a8eea9 is the first bad commit. This commit does make changes to the PDF backend so it seems feasible. Unfortunately I don’t know the backend code so this is currently out of my depth…
Perhaps Michael could weigh in on this? Or others familiar with backend workings?
Andrew
On 31 October 2012 16:29, Nicolas Rougier <Nicolas.Rougier@…922…> wrote:
I confirm on 1.2.x. on OSX 10.7.5.
Nicolas
On Oct 31, 2012, at 17:20 , Andrew Dawson wrote:
Hi all,
I just noticed that colorbar edges are drawn in white when output in PDF and black when output in PNG. A small test script is attached along with the output to show the difference.
I’d be interested in knowing if others can reproduce this? I’m using mpl-1.3.x (updated 5 minutes ago) on 64-bit Ubuntu 12.04.
Cheers,
Andrew
<bug.py><test.png><test.pdf>------------------------------------------------------------------------------
Everyone hates slow websites. So do we.
Make your web apps faster with AppDynamics
Download AppDynamics Lite for free today:
http://p.sf.net/sfu/appdyn_sfd2d_oct_______________________________________________
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I've filed an issue for this here:
Mike
On 10/31/2012 12:20 PM, Andrew Dawson wrote:
Hi all,
I just noticed that colorbar edges are drawn in white when output in PDF and black when output in PNG. A small test script is attached along with the output to show the difference.
I'd be interested in knowing if others can reproduce this? I'm using mpl-1.3.x (updated 5 minutes ago) on 64-bit Ubuntu 12.04.
Cheers,
Andrewbug.py
import matplotlib.pyplot as plt
import numpy as np# dummy data
x = y = np.linspace(-np.pi, np.pi, 50)
X, Y = np.meshgrid(x, y)
Z = np.sin(X) * np.cos(2.*Y)# draw a filled contour plot and add a colorbar with drawedges turned on
contours = plt.contourf(x, y, Z)
cb = plt.colorbar(orientation='horizontal', drawedges=True)# turn off tick marks so the edges can be seen
for tick in cb.ax.get_xticklines() + cb.ax.get_yticklines():
tick.set_visible(False)# save as a PDF and a PNG
plt.savefig('test.pdf')
plt.savefig('test.png')
I now have a fix attached to that issue. Andrew: can you confirm it works for you?
Mike
On 11/01/2012 09:06 AM, Michael Droettboom wrote:
I've filed an issue for this here:
Mike
On 10/31/2012 12:20 PM, Andrew Dawson wrote:
Hi all,
I just noticed that colorbar edges are drawn in white when output in PDF and black when output in PNG. A small test script is attached along with the output to show the difference.
I'd be interested in knowing if others can reproduce this? I'm using mpl-1.3.x (updated 5 minutes ago) on 64-bit Ubuntu 12.04.
Cheers,
Andrewbug.py
import matplotlib.pyplot as plt
import numpy as np# dummy data
x = y = np.linspace(-np.pi, np.pi, 50)
X, Y = np.meshgrid(x, y)
Z = np.sin(X) * np.cos(2.*Y)# draw a filled contour plot and add a colorbar with drawedges turned on
contours = plt.contourf(x, y, Z)
cb = plt.colorbar(orientation='horizontal', drawedges=True)# turn off tick marks so the edges can be seen
for tick in cb.ax.get_xticklines() + cb.ax.get_yticklines():
tick.set_visible(False)# save as a PDF and a PNG
plt.savefig('test.pdf')
plt.savefig('test.png')------------------------------------------------------------------------------
Everyone hates slow websites. So do we.
Make your web apps faster with AppDynamics
Download AppDynamics Lite for free today:
http://p.sf.net/sfu/appdyn_sfd2d_oct_______________________________________________
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Matplotlib-devel@lists.sourceforge.net
matplotlib-devel List Signup and Options