It looks like you're all heading down the right path. I'm happy to help (as the original author of the transforms code), but I'm going to be generally unavailable until Thursday or Friday of next week.
Cheers, Mike Eric Firing wrote: > Cohen-Tanugi Johann wrote: >> I tried to look at the code (axes.py I presume) in order to attempt a >> patch, but it defeated me, I do not have the instructions to >> navigate through this code :) >> Where is the actual transform of the error bars occurring? > > I think it is in the draw (or recache) method of the artists. > > The right way to handle this problem is not obvious to me. Maybe with > a variant of the log scale that clips instead of masking invalid > points. And maybe instead of making a whole set of such variants, the > behavior--masking versus clipping, and the clip level if the > latter--should be handled by an rcParam. > > Eric > >> thanks, >> Johann >> >> Michael Droettboom wrote: >>> I have to say I don't really have a lot of experience with error >>> bars on log plots -- but the root cause here is that the lower bound >>> of the error bar goes negative, and as we all know, the log of a >>> negative number is undefined. If you can suggest where the lower >>> bound should be drawn or provide third-party examples, I'm happy to >>> look into this further and resolve this "surprise". >>> >>> Mike >>> >>> Cohen-Tanugi Johann wrote: >>>> yes exactly.... >>>> I should have provided a test case, thanks for following up! >>>> Johann >>>> >>>> Matthias Michler wrote: >>>> >>>>> Hello Johann, >>>>> >>>>> is the problem you are reporting the one I observe in the attached >>>>> picture? Namely some vertical and horizontal lines are missing >>>>> when using yscale="log". More precisely everything below y=1 seems >>>>> to be missing. >>>>> >>>>> The picture was generated with the code below and >>>>> matplotlib.__version__ = '0.98.6svn' >>>>> matplotlib.__revision__ = '$Revision: 6887 $' >>>>> >>>>> best regards Matthias >>>>> >>>>> ############################### >>>>> import numpy as np >>>>> import matplotlib.pyplot as plt >>>>> >>>>> plt.subplot(111, xscale="log", yscale="log") >>>>> x = 10.0**np.linspace(0.0, 2.0, 20) >>>>> y = x**2.0 >>>>> plt.errorbar(x, y, xerr=0.1*x, yerr=5.0+0.75*y) >>>>> plt.show() >>>>> ################################ >>>>> On Friday 27 March 2009 16:12:12 Cohen-Tanugi Johann wrote: >>>>> >>>>>> Hello, what is the best way to get log log plots with error bars? I >>>>>> tried putting log10() everywhere but as I was afraid results look >>>>>> ugly.... >>>>>> thanks, >>>>>> johann -- Michael Droettboom Science Software Branch Operations and Engineering Division Space Telescope Science Institute Operated by AURA for NASA ------------------------------------------------------------------------------ _______________________________________________ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
