Re: [matplotlib-devel] colorbar edges in white for PDF output

[Michael D. <md...@st...>]

Can you try https://github.com/matplotlib/matplotlib/pull/1446?

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 <da...@at... 
> <mailto:da...@at...>> wrote:
>
>     Yes this seems to work for me.
>
>
>     On 1 November 2012 15:25, Michael Droettboom <md...@st...
>     <mailto:md...@st...>> 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
>>
>>         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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>     -- 
>     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: da...@at... <mailto:da...@at...>
>     Web Site: http://www2.physics.ox.ac.uk/contacts/people/dawson
>
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