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From: Daniel H. <dh...@gm...> - 2010-12-14 19:24:55
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I'm using it too, with excellent results. Thanks JJ! On Tue, Dec 14, 2010 at 2:13 PM, C M <cmp...@gm...> wrote: > >> >> >> On Thu, Sep 30, 2010 at 7:55 AM, Jae-Joon Lee <lee...@gm...>wrote: >> >>> On Thu, Sep 23, 2010 at 10:31 AM, C M <cmp...@gm...> wrote: >>> > Until a more permanent solution is figured out, can anyone recommend >>> > any workarounds, even if they are a little clunky? I'm embedding mpl >>> > plots in wxPython and am also finding this issue suboptimal. >>> > >>> > Che >>> > >>> >>> A (partial) workaround is possible using the axes_grid1 toolkit (i.e., >>> you need matplotlib 1.0). >>> Attached is a module I just cooked up (based on my previous attempt @ >>> >>> http://www.mail-archive.com/mat...@li.../msg18129.html >>> ), >>> and it seems to work quite well. >>> The usage is simple. >>> >>> >>> ax = plt.axes([0,0,1,1]) >>> >>> ax.set_yticks([0.5]) >>> ax.set_yticklabels(["very long label"]) >>> >>> make_axes_area_auto_adjustable(ax) # This is where axes_grid1 >>> comes in >>> >>> Then, the axes area(including ticklabels and axis label) will be >>> automatically adjusted to fit in the given extent ([0, 0, 1, 1] in the >>> above case). >>> >>> While this is mainly for a single axes plot, you may use it with >>> multi-axes plot (but somewhat trickier to use). A few examples are >>> included in the module. >>> >>> Regards, >>> >>> -JJ >>> >> >> This thread is a few months old now, but I just wanted to mention that I >> am using JJ's workaround (thanks!) in my app--with either one or two y >> axes--and it is just excellent. >> >> This should definitely be at least an option for matplotlib users--the >> quality of the appearance of the plots now is like night and day, because, >> to me, seeing a plot without its axes labels (I'm talking about in a >> resizable plot embedded in an application, not a static graph for inclusion >> in a publication) is a *major* look and feel demerit. >> >> Che >> >> >> >> >> ------------------------------------------------------------------------------ >> Lotusphere 2011 >> Register now for Lotusphere 2011 and learn how >> to connect the dots, take your collaborative environment >> to the next level, and enter the era of Social Business. >> http://p.sf.net/sfu/lotusphere-d2d >> _______________________________________________ >> Matplotlib-users mailing list >> Mat...@li... >> https://lists.sourceforge.net/lists/listinfo/matplotlib-users >> >> > > > -- > Daniel Hyams > dh...@gm... > -- Daniel Hyams dh...@gm... |