Hello, I am developing a toolkit to parse, analyse and plot some scientific data using matplotlib. Among them are some application-specific plotting functions that sort of extend matplotlib.
There are these nice image comparison decorators to test code like that but I am not sure how to use them for unit testing outside the scope of matplotlib itself. Is this use case intended and possible for the decorator? I have experimented with this unsuccessfully in the following way: There is a tests directory within my package with test functions decorated like so @image_comparison(baseline_images=['custom_function']) def test_custom_function(): # plot stuff... When I run nosetests, it fails creating some output images in result_images. Copying the appropriate files according to [1] to my_package/tests/baseline_images does not seem to have any effect. There are neither *-expected* nor *_{pdf,svg}.png files in there, only custom_function.{pdf,svg,png}. What am I doing wrong? Eduard [1] http://matplotlib.org/devel/testing.html ------------------------------------------------------------------------------ October Webinars: Code for Performance Free Intel webinars can help you accelerate application performance. Explore tips for MPI, OpenMP, advanced profiling, and more. Get the most from the latest Intel processors and coprocessors. See abstracts and register > http://pubads.g.doubleclick.net/gampad/clk?id=60134071&iu=/4140/ostg.clktrk _______________________________________________ Matplotlib-devel mailing list Matplotlib-devel@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-devel