I think this is due to improper use of the path.simplify_threshold value
in the simplification code. It should have been squared since it's used
in a 2-dimensional euclidean distance calculation.
I have made the change to SVN r8280 and updated a few of the unit tests
that are now more accurate than they used to be. As a workaround (if
you're not running from SVN and don't want to rebuild), you can set the
rcParam path.simplify_threshold to 0.01, rather than 0.1.
Mike
Michael Droettboom wrote:
> Thanks. I can confirm this with today's SVN. I'm looking into the cause.
>
> Mike
>
> On 04/25/2010 07:11 PM, Tom Aldcroft wrote:
>
>> import numpy
>> import matplotlib
>> matplotlib.use('Agg')
>> import matplotlib.pyplot as plt
>>
>> y = numpy.array([
>> 4., 2., 2., 3., 3., 2., 2., 6., 6., 5., 5., 4., 4.,
>> 7., 7., 2., 2., 4., 4., 2., 2., 2., 2., 4., 4., 4.,
>> 4., 4., 4., 7., 7., 3., 3., 5., 5., 4., 4., 5., 5.,
>> 4., 4., 7., 7., 6., 6., 2., 2., 2., 2., 5., 5., 4.,
>> 4., 4., 4., 6., 6., 3., 3., 4., 4., 3., 3., 2., 2.,
>> 3., 3., 4., 4., 4., 4., 4., 4., 6., 6., 5., 5., 4.,
>> 4., 7., 7., 3., 3., 4., 4., 4., 4., 5., 5., 4., 4.,
>> 7., 7., 3., 3., 4., 4., 4., 4., 6., 6., 4., 4., 4.,
>> 4., 4., 4., 2., 2., 5., 5., 6., 6., 3., 3., 5., 5.,
>> 4., 4., 0., 0., 5., 5., 1., 1., 4., 4., 5., 5., 4.])
>>
>> plt.figure(figsize=(7,4))
>> plt.plot(y)
>> plt.savefig('test.png')
>>
>> plt.xlim(-12000, 8274)
>> plt.savefig('test_panned.png')
>>
>>
>
>
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>
--
Michael Droettboom
Science Software Branch
Operations and Engineering Division
Space Telescope Science Institute
Operated by AURA for NASA
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