Mike, Jan, The thread http://www.mail-archive.com/matplotlib-us...@lists.sourceforge.net/msg08342.html
culminated in changeset r6106, which seemed to fix the immediate problem, but in fact introduced a major bug: polar plotting was broken for lines or patches with angles crossing zero. The real solution to the original problem is not a change to mpl, but to user code. In the example from the thread, r = np.transpose(.1+np.arange ( 0 , 0.7 , 0.001)) theta = -4.5 * np.pi *r freq = r*10e9 data = np.multiply(r,np.exp(1j*theta)) ax.plot(np.unwrap(angle(data)),abs(data)) # note added call to unwrap the original problem was that the angle was jumping from near minus pi to near plus pi, and the solution is to use the unwrap function, or equivalent, to make the angle vary smoothly from start to finish, with no jumps. Any attempt to normalize the angles to a fixed range of length 2 pi inside of mpl is sure to wreck valid user code; it merely moves the trouble spot to a different angle. In 6731 I reverted the normalization change from 6106, and also improved the r-tick locations in cases where the actual r-data range is small. Mike, of course I realized too late that I should have made the change in the maintenance branch and used svnmerge to propagate it to the trunk; should I just make the change manually in the branch? Polar plotting could still use more work, but I doubt I will be able to do much any time soon. Eric ------------------------------------------------------------------------------ _______________________________________________ Matplotlib-devel mailing list Matplotlib-devel@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-devel
