Re: [Matplotlib-users] Polar plots rendered incorrectly in SVG

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

Thanks.  I think you're right, Jae-Joon.  I've committed a slightly 
simplified version of your patch on the 0.99 branch and trunk.

Mike

Jae-Joon Lee wrote:
> Thanks for reporting the problem.
> I can reproduce this error in the svn trunk.
>
> My diagnosis is that this is because the clip mask is not correctly
> set, i.e., the mask path is not properly flipped in the svg backend.
> I was able to solve this particular problem using the attached patch.
> But, i'm not sure if this patch is a general solution. So, I hope
> other developers step in.
>
> Bartosz, below is a workaround you may use meanwhile. Note that the
> workaround will give correct result only for svg backend.
>
>
> import matplotlib.pyplot as plt
> import numpy as np
>
> fig = plt.figure()
> ax = fig.add_axes([0.4, 0.4, 0.25, 0.25], polar=True)
>
> # modify the ax.patch transform to work around with svg backend bug
> import matplotlib.transforms as mtransforms
> flipped_transAxes = mtransforms.BboxTransformTo(ax.bbox) \
>                     + mtransforms.Affine2D().scale(1.0,
> -1.0).translate(0., 72*fig.get_figheight())
>
> ax.patch.set_transform(flipped_transAxes)
> ax.xaxis.set_clip_path(ax.patch)
> ax.yaxis.set_clip_path(ax.patch)
>
>
> theta1 = np.pi/4
> ax.plot([theta1, theta1], [0, 1], '-')
>
> plt.savefig('test_polar.svg')
> plt.savefig('test_polar.png')
>
> Regards,
>
> -JJ
>
>
> On Wed, Sep 16, 2009 at 2:56 PM, Bartosz Telenczuk
> <b.t...@bi...> wrote:
>   
>> Dear all,
>>
>> I have a problem with exporting polar plots to SVG. When attached to
>> axes which are not centered in the figure, the content (grids, data,
>> etc.) seems not to be shifted correctly with the axes. However, when I
>> plot it directly to the screen or export to PNG everything is fine.
>>
>> Here is an example reproducing this error:
>>
>> import matplotlib.pyplot as plt
>> import numpy as np
>>
>> fig = plt.figure()
>> ax = fig.add_axes([0.4, 0.4, 0.25, 0.25], polar=True)
>>
>> theta1 = np.pi/4
>> ax.plot([theta1, theta1], [0, 1], '-')
>>
>> plt.savefig('test_polar.svg')
>> plt.savefig('test_polar.png')
>> plt.show()
>>
>> I was able to reproduce the problem it in matplotlib  0.99.0 (Backend:
>> GTKAgg).
>>
>>
>> Cheers,
>>
>> Bartosz
>>
>>
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-- 
Michael Droettboom
Science Software Branch
Operations and Engineering Division
Space Telescope Science Institute
Operated by AURA for NASA