Great. Just what I needed. I appreciate it. - James
On Feb 2, 2010, at 1:56 PM, Eric Firing wrote: > James Conners wrote: >> Hi, >> >> I'm having some trouble producing a filled contour how I want it. >> >> Say I'm plotting data over the range [1.2, 20] using 15 level lines evenly >> spaced >> over that interval. I'd like the min of that interval to map to the min of >> the color spectrum (say "jet" so dark blue) >> and the max of that interval to map to the max of the spectrum (so red). It >> doesn't seem to work that way. >> When I do filled contours, sometimes the low values are mapped to black or >> dark gray and >> sometimes they're mapped to blue. >> >> I always want the endpoints of the spectrum to map to the endpoints of the >> plotted values. Can this be done? >> Any help is appreciated. Thanks. > > The root of the problem is a questionable choice I made in the > _process_colors method of ContourSet; I will investigate either changing > it, or making it an option. In the meantime, there is an easy > workaround: just use the set_clim method of the ContourSet, or the > pyplot.clim function. In ipython -pylab: > > z = rand(10,10) > cs = contourf(z) > cb = colorbar() > cs.set_clim(cs.layers.min(), cs.layers.max()) > draw() > > The idea behind the present default choice for clim within contourf is that > the range of colors covers values from the lowest contour level to the > highest; the color of a *layer* is then the color of the midpoint > between its bounding levels. This has some logic to it (and is more > consistent with pcolor and image color mapping), but I agree that it > probably makes more sense to use the full color range by default; most > often, this is likely to be what one wants, and for the exceptions one > can always use set_clim. > > Eric > >> >> - James >> >> >> ------------------------------------------------------------------------------ >> The Planet: dedicated and managed hosting, cloud storage, colocation >> Stay online with enterprise data centers and the best network in the business >> Choose flexible plans and management services without long-term contracts >> Personal 24x7 support from experience hosting pros just a phone call away. >> http://p.sf.net/sfu/theplanet-com >> _______________________________________________ >> Matplotlib-users mailing list >> Matplotlib-users@lists.sourceforge.net >> https://lists.sourceforge.net/lists/listinfo/matplotlib-users > ------------------------------------------------------------------------------ The Planet: dedicated and managed hosting, cloud storage, colocation Stay online with enterprise data centers and the best network in the business Choose flexible plans and management services without long-term contracts Personal 24x7 support from experience hosting pros just a phone call away. http://p.sf.net/sfu/theplanet-com _______________________________________________ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
