Nothing much in the regards of the functionality. It only provides a way to use custom backends with "savefig", which I think is more convenient for interactive use. For example, with the ps_cmyk backend that I'm playing with, the only thing that I need to do is to import the module (ps_cmyk) and call
savefig("test.eps", format="eps_cmyk") And all other (interactive) work flow is not affected by the use of the custome backend. In non-interactive mode where a user explicitly calls "matplotlib.use", there is no need to register a backend. Regards, -JJ On Wed, Feb 3, 2010 at 4:15 PM, Ryan May <rma...@gmail.com> wrote: > On Wed, Feb 3, 2010 at 2:01 PM, Jae-Joon Lee <lee.j.j...@gmail.com> wrote: >> Dear all, >> >> I just committed a small change that enables a user to register a >> custom backend that will be used with "savefig". >> For example, >> >> import matplotlib.backend_bases >> from matplotlib.backends.backend_ps import FigureCanvasPS, RendererPS >> >> class RendererPSCustom(RendererPS): >> def draw_path(self, gc, path, transform, rgbFace=None): >> print "custom draw path" >> RendererPS.draw_path(self, gc, path, transform, rgbFace) >> >> class FigureCanvasPSCustom(FigureCanvasPS): >> _renderer_class = RendererPSCustom >> >> def print_eps_custom(self, outfile, *args, **kwargs): >> print "Using Custome backend" >> return self._print_ps(outfile, 'eps', *args, **kwargs) >> >> >> matplotlib.backend_bases.register_backend("eps_custom", FigureCanvasPSCustom) >> >> plt.plot([1,2,3]) >> plt.savefig("a.eps", format="eps_custom") # this will save the file >> using backend_ps_cmyk >> >> >> The api may need some cleanups or modifications, and any suggestion >> will be welcomed. >> >> Also committed is a some refactoring of ps backend but the change >> should be quite transparent. > > I like it. Out of curiosity, is there anything that this approach > brings (other than simplicity) that isn't already covered by the > support for: > > matplotlib.use('module:://') > > ? > > Ryan > > -- > Ryan May > Graduate Research Assistant > School of Meteorology > University of Oklahoma > ------------------------------------------------------------------------------ The Planet: dedicated and managed hosting, cloud storage, colocation Stay online with enterprise data centers and the best network in the business Choose flexible plans and management services without long-term contracts Personal 24x7 support from experience hosting pros just a phone call away. http://p.sf.net/sfu/theplanet-com _______________________________________________ Matplotlib-devel mailing list Matplotlib-devel@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-devel