Or, you may fool the algorithm to find the best location by adding invisible lines. For example,
axessubplot4.set_autoscale_on(False) l1, = axessubplot4.plot([4, 5], [8, 18]) l1.set_visible(False) axessubplot4.set_autoscale_on(True) Regards, -JJ On Thu, Feb 11, 2010 at 10:58 AM, John Hunter <jdh2...@gmail.com> wrote: > On Thu, Feb 11, 2010 at 9:43 AM, Geoff Bache <geoff.ba...@jeppesen.com> wrote: >> >> Hi all, >> >> I'm trying to generate graphs from my test results, with regions >> coloured with succeeded and failing tests. It nearly works, but I have >> the following problem. I am providing the data with fill_between, which >> returns PolyCollection objects which cannot be provided to a legend. So >> I use the "proxy artist" trick, as described here >> >> http://matplotlib.sourceforge.net/users/legend_guide.html#plotting-guide-legend >> > > What about creating a proxy artist which is a simple polygon that has > the same outline as your fill_between polygon? > > > In [539]: t = np.arange(0, 1, 0.05) > > In [540]: y = np.sin(2*np.pi*t) > > In [541]: verts = zip(t, y) > > In [542]: proxy = mpatches.Polygon(verts, facecolor='yellow') > > The only reason fill_between uses a PolyCollection is to support the > "where" keyword argument for non-contiguous fill regions, which you do > not appear to be using. Thus you could simply create the polygon > yourself with a little calculation (see mlab.poly_between for a helper > function) and then just add that patch to the axes rather than using > fill_between:: > > t = np.arange(0, 1, 0.05) > ymin = np.sin(2*np.pi*t)-5 > ymax = np.sin(2*np.pi*t)+5 > xs, ys = mlab.poly_between(t, ymin, ymax) > verts = zip(xs, ys) > poly = mpatches.Polygon (verts, facecolor='red', label='my poly') > ax = subplot(111) > ax.add_patch(poly) > ax.legend(loc='best') > ax.axis([0, 1, -6, 6]) > plt.draw() > > ------------------------------------------------------------------------------ > SOLARIS 10 is the OS for Data Centers - provides features such as DTrace, > Predictive Self Healing and Award Winning ZFS. Get Solaris 10 NOW > http://p.sf.net/sfu/solaris-dev2dev > _______________________________________________ > Matplotlib-users mailing list > Matplotlib-users@lists.sourceforge.net > https://lists.sourceforge.net/lists/listinfo/matplotlib-users > ------------------------------------------------------------------------------ SOLARIS 10 is the OS for Data Centers - provides features such as DTrace, Predictive Self Healing and Award Winning ZFS. Get Solaris 10 NOW http://p.sf.net/sfu/solaris-dev2dev _______________________________________________ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
