Stéfan van der Walt wrote: > On 20/04/2008, Eric Firing <[EMAIL PROTECTED]> wrote: >>> Odd, I'm using matplotlib 0.98pre (svn) with GTKAgg (gtk 2.12.8, pygtk >>> >> Very odd. Would you try writing out postscript and pdf, please, and see >> whether they behave the same way? > > The contour lines are still visible: > > http://mentat.za.net/refer/contours.ps
I don't see any contour lines; I see only the boundaries between patches. In other words, the plot looks the way I would expect it to. This is with evince or gv on a linux machine. (Both fail when trying to blow up the plot to 400%, but work at 200%.) My sense is that there is an optical illusion effect making the boundaries look somewhat line-like, but it doesn't sound like this is what you are talking about, so I am baffled. Do you see the problem if you run contourf_demo.py and use the gui to generate png, pdf, and ps files from figure 1? I still can't see any sign of it anywhere. Would you send a png file generated with and without your workaround, please? That should get around any differences in postscript interpreters. Also helpful would be a ps file with and without your workaround, preferably of an extremely simple example so it will be easy to see the difference in the generated ps. It sounds like you are seeing something fairly subtle that I am having a hard time seeing, and that is new with the transforms branch. Your patch must be pointing in the right direction, but I don't understand why, yet, and there should be no need for a kwarg; we don't want boundaries with contourf, period. The reason is that the contour algorithm we are using makes patches with slits, so rendering the boundary does not have the desired effect; one needs to call contour separately to get valid lines as boundaries. Then there is the problem that those lines don't *always* coincide with the corresponding patch boundaries, but this is generally not a problem unless the contours are ill-determined anyway. It is still bad, but there is no easy solution. Eric ------------------------------------------------------------------------- This SF.net email is sponsored by the 2008 JavaOne(SM) Conference Don't miss this year's exciting event. There's still time to save $100. Use priority code J8TL2D2. http://ad.doubleclick.net/clk;198757673;13503038;p?http://java.sun.com/javaone _______________________________________________ Matplotlib-devel mailing list Matplotlib-devel@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-devel
