Many thanks for the suggestions, will try these out today. Incidentally, it looks like there is an interesting bug in the mail archive software. Viewing my original message there I can see that it has removed all instances of the combination "pre" (that's p then r then e if it eats this too!). It does this even in the middle of words, such as "previous", "appreciate" etc.
Regards, Geoff On Thu, Feb 11, 2010 at 6:44 PM, Jae-Joon Lee <lee.j.j...@gmail.com> wrote: > 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 > ------------------------------------------------------------------------------ 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
