Hi Eric, > On 5 Jun 2015, at 12:20 PM, Eric Firing <[email protected]> wrote: > > Reminder: in matplotlib, color mapping is done with the combination of a > colormap and a norm. This allows one to design a norm to handle the > mapping, including any nonlinearity or difference between the handling > of positive and negative values. This is more general than customizing > a colormap; once you have a norm to suit your purpose, you can use it > with any colormap.
Though I was hazily aware of norms, I’d not really seen that before. I particularly like the example at http://matplotlib.org/examples/pylab_examples/pcolor_log.html This seems useful enough that a section under “User Guide:Advanced Guide” would be really helpful. An example that displays all the canned norms, and maybe how to make a custom norm. I only found the pcolor_log example by searching for colors.lognorm, which I only knew about from your comment above. There a few hits on stackexchange, but those are for specific instances and hard to find by random. I could help do this, but it’d take a while to actually learn how to use the norms. Thanks, Jody > > Maybe this is actually what you are already doing, but I wanted to point > it out here in case some readers are not familiar with this > colormap+norm strategy. > > Eric > > ------------------------------------------------------------------------------ > _______________________________________________ > Matplotlib-users mailing list > [email protected] > https://lists.sourceforge.net/lists/listinfo/matplotlib-users -- Jody Klymak http://web.uvic.ca/~jklymak/ ------------------------------------------------------------------------------ _______________________________________________ Matplotlib-users mailing list [email protected] https://lists.sourceforge.net/lists/listinfo/matplotlib-users
