On Thu, Jul 8, 2010 at 8:41 AM, Jeremy Conlin <jlcon...@gmail.com> wrote: > On Sun, Jul 4, 2010 at 8:38 PM, Benjamin Root <ben.r...@ou.edu> wrote: >> Jeremy, >> >> The pcolor function can take a vmin and a vmax parameter if you wish to >> control the colorscaling. In addition, you can use a special array >> structure called a "masked array" to have pcolor ignore "special" values. >> Assuming your data is 'vals': >> >> vals_masked = numpy.ma.masked_array(vals, vals == 0.0) >> >> Note that depending on your situation, doing an equality with with a >> floating point value probably isn't very reliable, so be sure to test and >> modify to suit your needs. 'vals_masked' can then be passed to pcolor >> instead of vals. > > Yes, I think this is exactly what I need. Thanks! >
To follow up with my response, I tried the above and it works nicely with pyplot.pcolor. I would like to get a 3D version of this, like I get using Axes3D.plot_surface. Is this just not implemented yet? I am using 0.99.1.1. Has this been implemented in matplotlib 1.0? Thanks, Jeremy ------------------------------------------------------------------------------ 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-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
