lmkli wrote: >> What version of mpl are you using? > My mpl version is 0.99.1 > >> Are you modifying the default anti-aliasing in the patch collections that >> contour is creating? > Could you please tell me how to this? I am very new to matplotlib, thank you > very much if you can give me some advices.
see below. > >> Are you seeing the problem when using the ps and pdf backends, or only with > agg (that is, creating png files directly)? > So far I only creating png files directly. Also, how to use ps and pdf > backend? The easiest way is with the pyplot savefig command: e.g. savefig("test.pdf") to save the current figure as a pdf. It doesn't look to me like this solves the problem, though. > >> ....which has been fixed in svn. > Do you mean I should download another mpl by svn? That might help, but it probably won't cure the problem completely. I don't know that there is any combination of parameters that gives boundaries as smooth and gap-free as in your second example. You may get a bit closer to it like this: CS = contourf(Z) for c in CS.collections: c.set_antialiased(False) (If working interactively in ipython, follow this with a "draw()" command to force a redraw.) Eric > > Thank you for your answers very much! > > > efiring wrote: >> What version of mpl are you using? Are you modifying the default >> anti-aliasing in the patch collections that contour is creating? Are you >> seeing the problem when using the ps and pdf backends, or only with agg >> (that is, creating png files directly)? >> >> There are two problems that can contribute to this, one related to the >> way the agg backend handles the boundaries between filled regions, and >> the other a bug in path simplification, which has been fixed in svn. >> >> Eric >> >> >> ------------------------------------------------------------------------------ >> Download Intel® Parallel Studio Eval >> Try the new software tools for yourself. Speed compiling, find bugs >> proactively, and fine-tune applications for parallel performance. >> See why Intel Parallel Studio got high marks during beta. >> http://p.sf.net/sfu/intel-sw-dev >> _______________________________________________ >> Matplotlib-users mailing list >> Matplotlib-users@lists.sourceforge.net >> https://lists.sourceforge.net/lists/listinfo/matplotlib-users >> >> > ------------------------------------------------------------------------------ Download Intel® Parallel Studio Eval Try the new software tools for yourself. Speed compiling, find bugs proactively, and fine-tune applications for parallel performance. See why Intel Parallel Studio got high marks during beta. http://p.sf.net/sfu/intel-sw-dev _______________________________________________ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users