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Also keep in mind that we consider all of the c extensions to be part of
the private api and do not worry so much about breaking them.
Tom
On Thu, Jun 25, 2015, 3:45 PM Benjamin Root <ben...@ou...> wrote:
> _cntr.so has been deprecated (it might take a couple of releases before we
> remove it entirely). _contour.so has a newer, better interface and comes
> with a python wrapper. Don't know if that is an issue at all for you, just
> noting that is the case.
>
> I might also suggest looking at scikit-image, as I think it has some
> contouring algorithms that might be easier to link to.
>
> Ben Root
>
> On Thu, Jun 25, 2015 at 2:28 PM, Sterling Smith <sm...@fu...>
> wrote:
>
>> The contour finder in matplotlib is more robust than I currently have in
>> a legacy fortran project. I would like to link to matplotlib’s instead.
>> Has anyone done this before? Are there any suggestions or pitfalls for
>> proceeding?
>>
>> Thanks,
>> Sterling
>>
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Hi everyone,
I have just released a small plugin for py.test that wraps the image
comparison functionality in matplotlib.testing, for use in other
packages that use py.test as the testing framework instead of nose:
 https://github.com/astrofrog/pytest-mpl
The idea is to make it easy to write a test such as:
 @pytest.mark.mpl_image_compare
 def test_succeeds():
 fig = plt.figure()
 ax = fig.add_subplot(1,1,1)
 ax.plot([1,2,3])
 return fig
which can then be run in three ways:
- Running py.test as usual will simply check the tests run but won't
check whether the figure is correct.
- Running py.test with the --mpl option will make sure that the figure
produced by the test is the same as a reference image
- Running py.test with the --mpl-generate-path option will generate the
reference images from the tests themselves.
There are a number of other options, including ways to pass arguments to
savefig, customizing the image names, or setting the tolerance for the
comparison. All the documentation is contained in the README.md file:
 https://github.com/astrofrog/pytest-mpl/blob/master/README.md
You can install this plugin with:
 pip install pytest-mpl
I would welcome any feedback and/or contributions!
Cheers,
Tom