On Sun, Jul 18, 2010 at 1:17 PM, Benjamin Root <ben.r...@ou.edu> wrote:
> > > On Thu, Jul 15, 2010 at 9:13 PM, Jeff Berry <jjbe...@email.arizona.edu>wrote: > >> Hi, >> >> I'm using the new mixed axes feature in matplotlib 1.0.0 to combine 3D and >> 2D plots in a single figure. The problem is that the 3D axes have a lot of >> extra white space around them that prevents the plot to line up flush with >> the 2D plot. Here is an example image of this: >> >> using matplotlib: >> http://www.u.arizona.edu/~jjberry/matplotlib.png<http://www.u.arizona.edu/%7Ejjberry/matplotlib.png> >> >> vs. matlab of the same thing: >> http://www.u.arizona.edu/~jjberry/matlab.png<http://www.u.arizona.edu/%7Ejjberry/matlab.png> >> >> Is there any way of changing the space on the 3D axis to look more like >> the matlab figure? >> >> Thanks, >> Jeff Berry >> >> >> > Jeff, thanks for pointing this out. An inadvertant side-effect of using > add_subplot() for 3d axes seems to be that the creation process greatly > restricts the available space for the 3d figure to be plotted. Whereas > doing the old Axes3D() approach (albeit for non-subplots) would allow the 3D > figure to use all the available space. > > I am currently examining this issue right now and might be tied to another > bug that has been reported recently. > > Ben Root > Jeff, Sorry for taking so long to get back to you. I have found a sort of workaround that should help you out. You can use subplots_adjust(left=0.0, bottom=0.0, right=1.0, top=1.0), before creating the axes to specify that the axes objects should use all the space available to them. Note, this will still allow for a buffer between the graphs, which can be adjusted using wspace and hspace keywords. http://matplotlib.sourceforge.net/api/pyplot_api.html#matplotlib.pyplot.subplots_adjust I hope that helps, Ben Root
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