I'm not sure PIL enters into it -- there shouldn't be any code path involving PIL in that case.
I think this a case where the image comparison tolerance needs to be increased. You would do this be passing a "tol" parameter to the image_comparison decorator on the pcolormesh test. The default is 1e-3, but it should be conservatively increased until the test passes. You can perform this experiment yourself, or attach the result image for the test to this list and I can experiment to find a correct value. Mike On 01/17/2011 02:44 PM, Sandro Tosi wrote: > Hi Ben, > thanks for the fast reply! > > On Mon, Jan 17, 2011 at 20:35, Benjamin Root<ben.r...@ou.edu> wrote: >> I have seen this before, and I think it was discussed once before. >> Visually, there is very little difference, > indeed, looking at the 2 images, I can't see any difference. > >> but supposedly there is some sort >> of issue with different PIL versions. What version of PIL do you have? > 1.1.7 > > Cheers, ------------------------------------------------------------------------------ Protect Your Site and Customers from Malware Attacks Learn about various malware tactics and how to avoid them. Understand malware threats, the impact they can have on your business, and how you can protect your company and customers by using code signing. http://p.sf.net/sfu/oracle-sfdevnl _______________________________________________ Matplotlib-devel mailing list Matplotlib-devel@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-devel