On Mon, Jul 5, 2010 at 3:17 AM, Ian Thomas <ianthoma...@googlemail.com> wrote:
> Yes, it does indeed take a long time for large grids. The bottleneck is line > 51 in lib/matplotlib/tri/triplot - I use the plot command which creates a > separate Line2D object for each edge in the triangulation, and there can be > a lot of edges. There is an obvious improvement of replacing this with a > single LineCollection object, but it would require some manipulation of the > line styles, colours, etc that the plot command does and I don't yet > understand it sufficiently. This could be made much faster using a compound Path for the edges and a single call to "plot" for the markers on the flattened array of vertices. You would retain the generality of all the mpl markers in this case, since you would be using "plot" for the verticies, but might lose some of the generality of the line styles since we don't have a class "LinePath" like we do in matplotlib.patches.PathPatch (eg see http://matplotlib.sourceforge.net/examples/api/compound_path.html). It would be nice to see an analogue or PathPatch matplotlib.lines.LinePath that exposes the relevant bits of the Line2D interface (set_linestyle) etc, but you can get most of this by setting facecolor='None' in the PathPatch. In practice, you almost always want a solid line for the edges I suspect. In a nutshell, you could still support the plot format string but manually pass it to Axes._process_plot_format. Use the returned results to set the properties on a single call to plot for the flattened array of vertex markers, and a single compound PathPatch with no facecolor for the edges (or you could support the facecolor if you want). Since PathPatch already supports linestyle, edgecolor and linewidth, it should work. And Paths support masks, so you should be able to integrate the masking but I am not sure about this part since I haven't delved deeply enough into the tri code to see how masking is applied. JDH ------------------------------------------------------------------------------ This SF.net email is sponsored by Sprint What will you do first with EVO, the first 4G phone? Visit sprint.com/first -- http://p.sf.net/sfu/sprint-com-first _______________________________________________ Matplotlib-devel mailing list Matplotlib-devel@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-devel
