On Fri, Sep 30, 2011 at 4:27 AM, Holger Brandsmeier <
holger.brandsme...@sam.math.ethz.ch> wrote:
> Dear List,
>
> is it possible to not only assign once color per polygon that is
> plotted, but one color for each vertex, so that the result looks like
> a properly smooth function. Even if I sample the points closely
> enough, in the current approach in almost all of your examples you
> always see the underlying grid (plus it gets very slow in 3D). I don't
> really care much if you interpolate the colors on the 2D projection of
> the polygon or on the real 3D polygon, just any color interpolation is
> better than none.
>
What values for rstride and cstride are you using? By default,
plot_surface() will sample every 10th point of the data array (for
performance reasons). Also, color interpoltion can be turned on by setting
shade to True.
>
> What do you actually understand behind the "antialiasing" parameter of
> 34D plots. It just puzzles me to have such a concept without have a
> concept of pixel shading (and thus an easy way for the above
> interpolation).
>
>
Again, plot_surface() has a shade kwarg. Use it and let me know if it meets
your expectations.
> I noticed that even 2D plots from matplot lib are very pixel dominated:
> http://matplotlib.sourceforge.net/examples/pylab_examples/pcolor_demo.html
>
> But there is the function imshow which doesn't have this artifacts:
> http://matplotlib.sourceforge.net/examples/pylab_examples/pcolor_demo2.html
>
>
for pcolor(), you can set the antialiaseds kwarg to True. The only reason
why imshow looks good in the second example is because the interpolation was
set to bilinear, and I think that automatically sets antialiasing to True.
> So is it possible to do something like imshow for 3D as well?
>
>
imshow() in 2d was not designed in such a way to yet be used in 3d, but I
think there is already a feature request filed for that.
Try shade=True for plot_surface() and see how that looks for you.
Cheers!
Ben Root
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