> > Nicolas, > > I would like to add to Mike's comments by making it clear why I am interested > in having OpenGL for matplotlib. It is not for speed. The last time I > checked, a good portion of time is actually spent on the axis tickers and > automatic limits. So, if speed is your goal, then that might be the better > place to look. > > No, my main interest in OpenGL is to relax matplotlib's 2D limitation. At > the core of matplotlib is a 2D layering engine that was perfectly suited for > 2D graphing. mplot3d then takes advantage of that layering feature to > hack-on 3D functionality. However, as has been noted many, many times, this > does not always produce correct results. I would love for the 2D layering > core to have some sort of logic where if the OpenGL backend is in use, and if > 3D art objects are detected, then bypass the dimension reduction that is done > in the layering engine and send the full 3D data over to OpenGL and let it > figure out the correct 2D projection. > > However, I am not an OpenGL programmer and I wouldn't even know where to > start. That is why I am very happy to see someone give this another try. > Also, as a side note, in discussions with Ryan May (who did the previous > attempt at using pyglet), the main reason he discontinued development at that > time was because the text rendering in pyglet was very poor and not > anti-aliased. Do you have any indication if that has improved or not? > > Ben Root
As I just posted, I will try to complete the GL backend (using standard GL and GLUT). For the font rendering, I think freetype-py can be used to offer decent rendering with antialiasing (see http://code.google.com/p/freetype-py/, all examples rendered without LCD filtering). But I do not know if it can compares with agg text rendering. If not, I could cache glyphs produced by the agg renderer and just use them. Nicolas ------------------------------------------------------------------------------ Got Input? Slashdot Needs You. Take our quick survey online. Come on, we don't ask for help often. Plus, you'll get a chance to win $100 to spend on ThinkGeek. http://p.sf.net/sfu/slashdot-survey _______________________________________________ Matplotlib-devel mailing list Matplotlib-devel@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-devel
