The current implementation of PolarAxes does not support that. However, you can workaround this easily using a custom axes.
In http://matplotlib.sourceforge.net/examples/pylab_examples/polar_demo.html Instead of ax = fig.add_axes([0.1, 0.1, 0.8, 0.8], polar=True, axisbg='#d5de9c') use following code from matplotlib.projections.polar import PolarAxes from matplotlib.transforms import Affine2D class PolarAxes2(PolarAxes): def PolarTransform(self): return Affine2D().translate(-.5*np.pi,0) + PolarAxes.PolarTransform() ax = PolarAxes2(fig, [0.1, 0.1, 0.8, 0.8], axisbg='#d5de9c') ax = fig.add_axes(ax) Regards, -JJ On Tue, Mar 2, 2010 at 8:44 PM, R Fritz <rfr...@u.washington.edu> wrote: > You can see an example on the second page of > <http://lightolier.com/MKACatpdfs/8011.PDF>. Scroll down. The plot is > next to the table titled, "candlepower summary." It's a quadrant > rather than a full circle, and it's clipped to a box, but it's still a > polar plot. > > The only problem I have with what matplotlib does is that it seems > determined to put zero at the right, rather than at the bottom. I want > to turn the axis 90 degrees. > > Randolph > > On 2010-03-02 14:50:51 -0800, Jae-Joon Lee said: > >> Do you have any link to an example plot? >> I googled it but not much luck. >> Is it like a polar plot without the bottom half? >> >> Regards, >> >> -JJ >> >> On Tue, Mar 2, 2010 at 1:48 AM, R Fritz <rfr...@u.washington.edu> wrote: >> > I'd like to be able to generate type C photometry plots with >> > matplotlib. The standard co-ordinate system for these has 0 degrees at >> > the bottom (nadir) of the plot, with values increasing >> > counterclockwise. Is there anyway I can transform the co-ordinates that >> > matplotlib uses to do this? >> > -- >>> Randolph Fritz >>> > design machine group, architecture department, university of washington >>> > rfr...@u.washington.edu -or- rfritz...@gmail.com > > > > ------------------------------------------------------------------------------ > Download Intel® Parallel Studio Eval > Try the new software tools for yourself. Speed compiling, find bugs > proactively, and fine-tune applications for parallel performance. > See why Intel Parallel Studio got high marks during beta. > http://p.sf.net/sfu/intel-sw-dev > _______________________________________________ > Matplotlib-users mailing list > Matplotlib-users@lists.sourceforge.net > https://lists.sourceforge.net/lists/listinfo/matplotlib-users > ------------------------------------------------------------------------------ Download Intel® Parallel Studio Eval Try the new software tools for yourself. Speed compiling, find bugs proactively, and fine-tune applications for parallel performance. See why Intel Parallel Studio got high marks during beta. http://p.sf.net/sfu/intel-sw-dev _______________________________________________ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
