I wonder why the simple text command does not work for you? e.g., def add_center_text(ax): ax.text(0.5, 0.9075, "Centered Title", ha='center', va='center', fontsize=18, bbox=dict(boxstyle='round, pad=0.5, rounding_size=0.25', fc="white", ec="k", lw=2), transform=ax.transAxes)
Also, annotate command gives you more flexibility in text positioning. The axes location is supposed to be known during the drawing time. To get the axes position, you may do something like ax1._axes_locator(ax1, fig._cachedRenderer) Of course, this need to be done after the figure is properly drawn (e.g., after calling draw()) or during the drawing time. Regards, -JJ On Sat, Mar 10, 2012 at 1:00 PM, Patrick Marsh <patrickmars...@gmail.com> wrote: > Hi, All, > > Here's an update to the problem I submitted last night. > > I was able to utilize anchored text to work for centering a title, which is > ultimately what I'm wanting to do now. (Although, I'd still like to know the > proper way to get the axes bounds when using axes_divider). The new problem > lies how to horizontally align the text inside the anchored box. When the > horizontal alignment is "left", the text lines up in the anchored box. > However, as the updated example below shows, then you use "center" or > "right", the text is now positioned outside the anchored box. Is this a bug > in how the text is aligned? If so, how might I go about tracking it down? > > > https://gist.github.com/2004869 (rev: b984ca) > > > Cheers, > Patrick > --- > Patrick Marsh > Ph.D. Student / Liaison to the HWT > School of Meteorology / University of Oklahoma > Cooperative Institute for Mesoscale Meteorological Studies > National Severe Storms Laboratory > http://www.patricktmarsh.com > > > > On Fri, Mar 9, 2012 at 12:12 AM, Patrick Marsh <patrickmars...@gmail.com> > wrote: >> >> Greetings, >> >> Let me begin by saying that I've fallen in love with ImageGrid. I love the >> control it gives me in setting up plots, and I really like the control it >> offers for setting up a colorbar. Unfortunately, like all relationships, >> ImageGrid and I have hit a rough patch. >> >> I like to manually place titles and other boxes of texts on plots that I >> make using ImageGrid. However, to center things I have to know what the axes >> bounds are so I can do the centering calculations. Unfortunately, when using >> ImageGrid, or axes_divider, I have yet to find a way to get the axes bounds >> that are actually used to do the plotting. When I try to use >> >> ax.get_position().bounds >> >> I get the pre-adjusted bounds, even if I use plt.draw() before requesting >> the axes_positions. This means the only way I can center the text is by >> guessing what the final axes bounds will be. Is there any way of getting >> the final bounds? It appears anchored text is able to do it, but I haven't >> been able to... >> >> >> Here's a self-contained example script that demonstrates the problem. I >> don't use ImageGrid, instead using axes_divider, however this is the same >> problem that AxesGrid has. (I'm guessing this is because ImageGrid >> ultimately does what I did here behind the scenes.) >> >> https://gist.github.com/2004869 >> >> >> Thanks for any help! >> >> >> Patrick >> --- >> Patrick Marsh >> Ph.D. Student / Liaison to the HWT >> School of Meteorology / University of Oklahoma >> Cooperative Institute for Mesoscale Meteorological Studies >> National Severe Storms Laboratory >> http://www.patricktmarsh.com >> >> > > > ------------------------------------------------------------------------------ > Virtualization & Cloud Management Using Capacity Planning > Cloud computing makes use of virtualization - but cloud computing > also focuses on allowing computing to be delivered as a service. > http://www.accelacomm.com/jaw/sfnl/114/51521223/ > _______________________________________________ > Matplotlib-users mailing list > Matplotlib-users@lists.sourceforge.net > https://lists.sourceforge.net/lists/listinfo/matplotlib-users > ------------------------------------------------------------------------------ Virtualization & Cloud Management Using Capacity Planning Cloud computing makes use of virtualization - but cloud computing also focuses on allowing computing to be delivered as a service. http://www.accelacomm.com/jaw/sfnl/114/51521223/ _______________________________________________ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users