Hi Eric,
2011/6/6 Eric Firing <efir...@hawaii.edu>: > It's not quite clear to me yet, but I assume you want to use a call to > imshow with a different data set in the second subplot, but have the > color scale and colorbar be identical to those in the first subplot. Is > that correct? If so, all you need to do is use the same norm for both > calls to imshow--that is, define a norm, set the limits you want on it, > and supply it as a kwarg. thanks a lot, you helped me to work around my problem, see code below :) > Also, for this sort of comparison, sometimes it is more efficient to use > a single colorbar for multiple panels, as in this example: > > http://matplotlib.sourceforge.net/examples/pylab_examples/multi_image.html Very nice example! It's a little too complex for me, though, with all the calculations for the axes layout -- I prefer subplots :) However, I think I have found a nice compromise: import pylab import matplotlib as mpl pylab.close('all') dat = pylab.array([[1,2,3,4],[5,6,7,8]]) datT = dat/2 fig = pylab.figure() ax1 = fig.add_subplot(211) ax1.set_title('raw data') im1 = ax1.imshow(dat, interpolation='nearest', cmap=mpl.cm.get_cmap('rainbow', 20)) fig.colorbar(im1) ax2 = fig.add_subplot(212) ax2.set_title('leveled') im2 = ax2.imshow(datT, interpolation='nearest', cmap=mpl.cm.get_cmap('rainbow', 20)) ## apply norm: norm = mpl.colors.Normalize(vmin=dat.min(), vmax=dat.max()) im2.set_norm(norm) fig.colorbar(im2) ## doesn't really work :/ cax = fig.add_axes([0.25, 0.04, 0.5, 0.02]) fig.colorbar(im2, cax, orientation='horizontal') pylab.show() Thanks a lot, best regards, Daniel ------------------------------------------------------------------------------ EditLive Enterprise is the world's most technically advanced content authoring tool. Experience the power of Track Changes, Inline Image Editing and ensure content is compliant with Accessibility Checking. http://p.sf.net/sfu/ephox-dev2dev _______________________________________________ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
