This is something that needs to be fixed in the next release. Meanwhile, try something like,
cax = grid.cbar_axes[0] cax.axis["right"].toggle(ticks=True, ticklabels=True, label=True) cax.set_ylabel("Test") Regards, -JJ On Tue, Apr 6, 2010 at 3:26 PM, Angus McMorland <amcm...@gmail.com> wrote: > Hi all, > I'm trying to use an AxesGrid to plot 5 images and a color bar. I can't work > out how to get labels on the colorbar, and none of the examples shows this. > Can anyone help? I presume this is a simple thing, once one knows the > correct command. > I'm creating the grid using the following code snippet, taking almost > verbatim from the examples: > fig = plt.figure() > grid = AxesGrid(fig, 111, nrows_ncols = (1, 5), axes_pad = 0.05, > share_all=True, cbar_mode='single', cbar_location='right', cbar_size='15%') > for i in xrange(5): > im = grid[i].imshow(array[i]) > plt.colorbar(im, cax=grid.cbar_axes[0]) > but then it's not clear how to switch on the labels. Things I've tried: > normal colorbars come with them on by default. I've also found that > grid.cbar_axes is a list of five elements, each of which is an CbarAxes, for > which I can't find documentation on the website, and doing > grid.cbar_axes[0].set_yticks/set_yticklabels on at least the first and last > elements of the list doesn't work. Can anyone shed light on this? I bet it's > easy once I know the magic words. > Thanks, > Angus. > -- > AJC McMorland > Post-doctoral research fellow > Neurobiology, University of Pittsburgh > > ------------------------------------------------------------------------------ > Download Intel® Parallel Studio Eval > Try the new software tools for yourself. Speed compiling, find bugs > proactively, and fine-tune applications for parallel performance. > See why Intel Parallel Studio got high marks during beta. > http://p.sf.net/sfu/intel-sw-dev > _______________________________________________ > Matplotlib-users mailing list > Matplotlib-users@lists.sourceforge.net > https://lists.sourceforge.net/lists/listinfo/matplotlib-users > > ------------------------------------------------------------------------------ Download Intel® Parallel Studio Eval Try the new software tools for yourself. Speed compiling, find bugs proactively, and fine-tune applications for parallel performance. See why Intel Parallel Studio got high marks during beta. http://p.sf.net/sfu/intel-sw-dev _______________________________________________ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users