On Mon, Aug 16, 2010 at 6:13 PM, Jae-Joon Lee <lee.j.j...@gmail.com> wrote: > Using the set_powerlimits method didn't help?
I couldn't get set_powerlimits or set_scientific to change anything in my colorbar scaling. If I used setOffset(False) then there was no scaling; an improvement, but not ideal. > > As far as I know, the current implementation does not allow a custom > scale factor. > But if the scale factor is power of 10 (10, 100, 1000, ...), I believe > using set_powerlimits method (as in my previous example, or some > variation) is good enough. Unfortunately in my simple example (and in my real world case), the scale factor is some number (i.e. 5) times a power of 10. Am I missing something? I'm running matplotlib version 1.0.0. Thanks, Jeremy import numpy import matplotlib.pyplot as pyplot a = 5000 b = 5002 M = (b-a)*numpy.random.random((5,5))+a fig = pyplot.figure() pc = pyplot.pcolor(M) cbar = fig.colorbar(pc) cbar.formatter.set_scientific(False) cbar.formatter.set_powerlimits((0,2)) # cbar.formatter.set_useOffset(False) cbar.update_ticks() ------------------------------------------------------------------------------ This SF.net email is sponsored by Make an app they can't live without Enter the BlackBerry Developer Challenge http://p.sf.net/sfu/RIM-dev2dev _______________________________________________ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
