JJ, The workaround works. Thanks.
-Sterling On Oct 17, 2011, at 6:58PM, Jae-Joon Lee wrote: > Meanwhile, you may do > > from matplotlib.legend import Legend > l = Legend(fig, h, l, loc='lower right') > fig.legends.append(l) > > This should be equivalent to fig.legend(h,l,loc='lower right'). > > Or, if you don't need axes legend, you may do > > legend(h,l,loc='lower right', bbox_to_anchor=[0,0,1,1], > bbox_transform=fig.transFigure) > > Regards, > > -JJ > > On Tue, Oct 18, 2011 at 6:59 AM, Sterling Smith <smit...@fusion.gat.com> > wrote: >> Let me first say that I appreciate the work that the developers have put >> into matplotlib. You're doing a great job. >> >> I have filed a bug report at >> >> https://github.com/matplotlib/matplotlib/issues/533 >> >> wherein I post the following >> >> Consider: >> >> from pylab import * >> x = arange(0,1,.01) >> y = x**2 >> fig = figure(2) >> ax = fig.add_subplot(111) >> errorbar(x,y,yerr=x/10.,label='$x^2$') >> errorbar(x,y**3,yerr=x/10.,label='$x^6$') >> legend(loc='upper center') >> h,l = ax.get_legend_handles_labels() >> fig.legend(h,l,loc='lower right') >> >> >> I am getting the right legend for the axes based legend, but the figure >> based legend seems to be using the different parts of the errorbar for >> subsequent handles, instead of using them as a group. From what I can tell, >> this has appeared since the upgrade to version 1.1.0. >> >> I am running on Linux, python 2.7, gtkAgg backend. >> >> Thanks, >> Sterling >> >> >> ------------------------------------------------------------------------------ >> All the data continuously generated in your IT infrastructure contains a >> definitive record of customers, application performance, security >> threats, fraudulent activity and more. Splunk takes this data and makes >> sense of it. Business sense. IT sense. Common sense. >> http://p.sf.net/sfu/splunk-d2d-oct >> _______________________________________________ >> Matplotlib-users mailing list >> Matplotlib-users@lists.sourceforge.net >> https://lists.sourceforge.net/lists/listinfo/matplotlib-users >> ------------------------------------------------------------------------------ The demand for IT networking professionals continues to grow, and the demand for specialized networking skills is growing even more rapidly. Take a complimentary Learning@Ciosco Self-Assessment and learn about Cisco certifications, training, and career opportunities. http://p.sf.net/sfu/cisco-dev2dev _______________________________________________ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
