> On Jul 4, 2018, at 5:53 PM, John Ladasky <[email protected]> wrote:
>
> I'm a regular Matplotlib user. Normally, I graph functions. I just
> attempted to graph an icosahedral surface using the plot_trisurf() methods of
> Matplotlib's Axes3D. I have discovered that Matplotlib is basically
> hard-wired for graphing functions, and therefore will not work for
> general-purpose 3D rendering.
>
> If I have repeated X and Y values in my arrays, it doesn't matter that the Z
> values might be different. Matplotlib raises a ValueError, with the message
> "x and y arrays must consist of at least 3 unique points." If I break down
> my polyhedron into individual triangles, I can get 16 of the 20 faces to
> render, but not all of them. Here's some minimal example code, which also
> catches and prints the cause of the ValueError.
>
>
[big byte]
> # ============================================================================
>
> I explored Python OpenGL bindings about three years ago, and quickly got
> bogged down. Even with Python to assist, dealing with OpenGL was like trying
> to program Java. Of course, OpenGL can do EVERYTHING. Far more than I need.
>
The Python Open GL bindings have apparently changed fairly dramatically. I’m
no expert, I’m working my way through the on-line book here:
http://www.labri.fr/perso/nrougier/python-opengl/
But the author DOES lay things out in a nice step by step fashion - and with
particular emphasis on scientific 3D plotting (which is what
I’m after).
> I would like to render polyhedra, preferably with uniformly colored faces (I
> understand that color is a property that is associated with vertices in
> OpenGL). I would appreciate a simple interface. The rendering doesn't have
> to be especially fast or high quality. The Matplotlib visualization is
> acceptable, except of course for the missing faces.
>
> There are many 3D graphics packages on PyPI. Some appear to be quite
> specialized. I would appreciate your recommendations. Thanks!
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