matplotlib-devel Mailing List for matplotlib

On Wed, Feb 3, 2010 at 2:01 PM, Jae-Joon Lee <lee...@gm...> 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

I'm experimenting with a customized ps backend that saves images in
cmyk colorspace.
It simply converts the rgb image to cmyk (using lcms), and nothing
more (i.e., it does not embed the icc profile inside the eps file).
While I don't see practical usefulness of this other than for a
previewing purpose, give it a try if you're interested (the current
svn matplotlib is required).
Any comment of suggestion will be welcomed.
http://github.com/leejjoon/mpl_ps_cmyk
Regards,
-JJ

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.
Regards,
-JJ