Jason, This is now fixed in the svn.
http://matplotlib.svn.sourceforge.net/viewvc/matplotlib/trunk/matplotlib/lib/matplotlib/patches.py?r1=7840&r2=7857 Meanwhile, you may use the following workaround. import matplotlib import pylab from matplotlib.path import Path if __name__ == '__main__': pylab.clf() ax = pylab.axes([0,0,1,1]) ax.add_line(matplotlib.lines.Line2D((2, 5), (0.75, 6))) arc = matplotlib.patches.Arc((2, 0), 1.5, 1.5, 0.0, 0, 180.0, fill=False) arc._path = Path.arc(arc.theta1, arc.theta2) ax.add_patch(arc) ax.axis('equal') Note that the current pathces.Arc may update its _path during draw(). So, you may need to do arc._path = Path.arc(arc.theta1, arc.theta2) whenever correct extent of the arc is required (i.e., before calling axis). Regards, -JJ On Sun, Oct 4, 2009 at 11:51 PM, Jason Sewall <[email protected]> wrote: > On Sun, Oct 4, 2009 at 11:45 PM, Eric Firing <[email protected]> wrote: >> Use the Axes.set_aspect() method for full control of the aspect ratio, and >> of what gets changed to preserve that aspect ratio. > > Thanks, that works great! Any ideas about Arc's effect on the 'tight' bounds? > > ------------------------------------------------------------------------------ > Come build with us! The BlackBerry® Developer Conference in SF, CA > is the only developer event you need to attend this year. Jumpstart your > developing skills, take BlackBerry mobile applications to market and stay > ahead of the curve. Join us from November 9-12, 2009. Register now! > http://p.sf.net/sfu/devconf > _______________________________________________ > Matplotlib-users mailing list > [email protected] > https://lists.sourceforge.net/lists/listinfo/matplotlib-users > ------------------------------------------------------------------------------ Come build with us! The BlackBerry(R) Developer Conference in SF, CA is the only developer event you need to attend this year. Jumpstart your developing skills, take BlackBerry mobile applications to market and stay ahead of the curve. Join us from November 9 - 12, 2009. Register now! http://p.sf.net/sfu/devconference _______________________________________________ Matplotlib-users mailing list [email protected] https://lists.sourceforge.net/lists/listinfo/matplotlib-users
