I believe I have found a simple change that improves the rendering speed of quiver plots, which can be quite slow for large vector fields. Based on some profiling, the problem appears to stem from the use of numpy's MaskedArrays in PolyCollection.set_verts. If I add the following line to the top of the PolyCollection.set_verts function in collections.py:
verts = np.asarray(verts) I find that quiver plots are drawn about 3 times as quickly, going from 2.6 seconds for a 125x125 field to 0.65 seconds. This does not seem to break the use of MaskedArrays as inputs, and masked regions are still hidden in the final plot. I do not know if this has any adverse effects in other classes that inherit from PolyCollection. Using: python 2.6.2 on Windows XP numpy 1.3.0 matplotlib 0.98.5.3, Qt4Agg backend I do not know why iterating over MaskedArrays is so slow, but perhaps this information can be used to speed up some other functions as well. Ray Speth ------------------------------------------------------------------------------ _______________________________________________ Matplotlib-devel mailing list Matplotlib-devel@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-devel