It is possible I have spoken too soon. It certainly fixes the specific issue I was having, however I am now getting serious issues with a plot that uses the basemap toolkit. The contours and coastlines extend way beyond the plot boundaries. I’ve put links to before and after plots from something I’m working on, I don’t have time to do a clean test script tonight though.
I don’t know if this is a matplotlib issue or something to do with basemap… some thought is probably required on this one.
http://dl.dropbox.com/u/4496818/bad.pdf
http://dl.dropbox.com/u/4496818/good.pdf
Andrew
···
On 1 November 2012 16:02, Andrew Dawson <dawson@…1101…> wrote:
Yes this seems to work for me.
On 1 November 2012 15:25, Michael Droettboom <mdroe@…31…> wrote:
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:
[https://github.com/matplotlib/matplotlib/issues/1444](https://github.com/matplotlib/matplotlib/issues/1444)
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,
Andrew
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')
------------------------------------------------------------------------------
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–
Dr Andrew Dawson
Atmospheric, Oceanic & Planetary Physics
Clarendon Laboratory
Parks Road
Oxford OX1 3PU, UK
Tel: +44 (0)1865 282438
Email: dawson@…1102…1…
Thanks. I think the clipping is getting thrown away by what I just did. It should be an easy fix.
Mike
···
On 11/01/2012 01:59 PM, Andrew Dawson wrote:
It is possible I have spoken too soon. It certainly fixes the specific issue I was having, however I am now getting serious issues with a plot that uses the basemap toolkit. The contours and coastlines extend way beyond the plot boundaries. I've put links to before and after plots from something I'm working on, I don't have time to do a clean test script tonight though.
I don't know if this is a matplotlib issue or something to do with basemap... some thought is probably required on this one.
http://dl.dropbox.com/u/4496818/bad.pdf
http://dl.dropbox.com/u/4496818/good.pdf
Andrew
On 1 November 2012 16:02, Andrew Dawson <dawson@...1101... > <mailto:dawson@…1101…>> wrote:
Yes this seems to work for me.
On 1 November 2012 15:25, Michael Droettboom <mdroe@...31... > <mailto:mdroe@…31…>> wrote:
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:
Colorbar edges are different in PDF backend by mdboom · Pull Request #1444 · matplotlib/matplotlib · GitHub
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,
Andrew
bug.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')
------------------------------------------------------------------------------
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------------------------------------------------------------------------------
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Download AppDynamics Lite for free today:
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_______________________________________________
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<mailto:Matplotlib-devel@lists.sourceforge.net>
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-- Dr Andrew Dawson
Atmospheric, Oceanic & Planetary Physics
Clarendon Laboratory
Parks Road
Oxford OX1 3PU, UK
Tel: +44 (0)1865 282438 <tel:%2B44%20%280%291865%20282438>
Email: dawson@...1101... <mailto:dawson@…1101…>
Web Site: http://www2.physics.ox.ac.uk/contacts/people/dawson
Can you try Fix clipping in PDF backend by mdboom · Pull Request #1446 · matplotlib/matplotlib · GitHub?
Mike
···
On 11/01/2012 01:59 PM, Andrew Dawson wrote:
It is possible I have spoken too soon. It certainly fixes the specific issue I was having, however I am now getting serious issues with a plot that uses the basemap toolkit. The contours and coastlines extend way beyond the plot boundaries. I've put links to before and after plots from something I'm working on, I don't have time to do a clean test script tonight though.
I don't know if this is a matplotlib issue or something to do with basemap... some thought is probably required on this one.
http://dl.dropbox.com/u/4496818/bad.pdf
http://dl.dropbox.com/u/4496818/good.pdf
Andrew
On 1 November 2012 16:02, Andrew Dawson <dawson@...1101... > <mailto:dawson@…1101…>> wrote:
Yes this seems to work for me.
On 1 November 2012 15:25, Michael Droettboom <mdroe@...31... > <mailto:mdroe@…31…>> wrote:
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:
Colorbar edges are different in PDF backend by mdboom · Pull Request #1444 · matplotlib/matplotlib · GitHub
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,
Andrew
bug.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 <mailto:Matplotlib-devel@lists.sourceforge.net>
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------------------------------------------------------------------------------
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
_______________________________________________
Matplotlib-devel mailing list
Matplotlib-devel@lists.sourceforge.net
<mailto:Matplotlib-devel@lists.sourceforge.net>
matplotlib-devel List Signup and Options
-- Dr Andrew Dawson
Atmospheric, Oceanic & Planetary Physics
Clarendon Laboratory
Parks Road
Oxford OX1 3PU, UK
Tel: +44 (0)1865 282438 <tel:%2B44%20%280%291865%20282438>
Email: dawson@...1101... <mailto:dawson@…1101…>
Web Site: http://www2.physics.ox.ac.uk/contacts/people/dawson