Darren Dale wrote: > I think nan's and inf's are a fact of life. They sometimes pop up in my work, > and would prefer that matplotlib handle them properly. But I haven't > contributed much to the actual plotting functions and don't know much about > the advantages of masked arrays, so I'll defer to you.
Darren, I would like to return to this. It may make good sense for us to use something like x=ma.masked_where(~npy.isfinite(x), x) at the outermost level of argument processing, in place of x = ma.asarray(x). It will add a few msec, which is OK if it is done once or a few times per plot. It is not good if it happens hundreds of times per plot, though, so it is acceptable only if there is a clear separation between outer argument processing--the most public part of the API--and internal functions. The method suggested above actually won't work with numpy.ma--only with maskedarray. I have to put this off for a while longer. Eric ------------------------------------------------------------------------- This SF.net email is sponsored by: Microsoft Defy all challenges. Microsoft(R) Visual Studio 2005. http://clk.atdmt.com/MRT/go/vse0120000070mrt/direct/01/ _______________________________________________ Matplotlib-devel mailing list Matplotlib-devel@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-devel
