I can confirm the inconsistency between behavior and documentation for 1.3.1. The errorbar line gets the color of the line, not the marker. Probably you should file a bug report on github.
-Sterling On Apr 11, 2014, at 7:50AM, Oliver wrote: > I apologize if this has been fixed already, I can only check different > versions at home. However, the documentation of mpl 1.3.1. has the same > information. So unless the code changed to reflect the documentation, this is > still present. > > When using errorbar, the documentation says the color of the errorbar lines > will match with the color of the markers if ecolor=None. That’s not what I > found. Apparently it takes over the color of the Line2D instance which > interconnects the markers. > > Short, Self Contained, Correct Example: > > from pylab import * > plt.ion() # saves typing show > > x = np.arange(10) > y = np.random.rand(10) > xerr, yerr = y/4., y/4. > > # Markers in red, but errorlines assume the color of the "trendline" (default > rcparams: blue). > errorbar(x, y, yerr=yerr, mfc='r', marker='o', ecolor=None) > > # Errorlines get color green now - documentation not in line with results > > figure(); errorbar(x, y, yerr=xerr, mfc='r', marker='o', ecolor=None, > color='g') > # Errorlines get color blue now, because it can be specified - expected > behaviour > figure(); errorbar(x, y, yerr=xerr, mfc='r', marker='o', ecolor='b', > color='g') > > Is this an oversight mistake? > > ------------------------------------------------------------------------------ > Put Bad Developers to Shame > Dominate Development with Jenkins Continuous Integration > Continuously Automate Build, Test & Deployment > Start a new project now. Try Jenkins in the cloud. > http://p.sf.net/sfu/13600_Cloudbees_______________________________________________ > Matplotlib-users mailing list > Matplotlib-users@lists.sourceforge.net > https://lists.sourceforge.net/lists/listinfo/matplotlib-users ------------------------------------------------------------------------------ Put Bad Developers to Shame Dominate Development with Jenkins Continuous Integration Continuously Automate Build, Test & Deployment Start a new project now. Try Jenkins in the cloud. http://p.sf.net/sfu/13600_Cloudbees _______________________________________________ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
