Fernando Perez wrote: > Note that the code below does: > > if notch_max > q3: > notch_max = q3 > if notch_min < q1: > notch_min = q1 > > though matlab explicitly states in: > > http://www.mathworks.com/access/helpdesk/help/toolbox/stats/boxplot.html > > that > > """ > Interval endpoints are the extremes of the notches or the centers of > the triangular markers. When the sample size is small, notches may > extend beyond the end of the box. > """ > > So it seems to me that the more principled thing to do would be to > leave those notch markers outside the box if they land there, because > that's a warning of the robustness of the estimation. Clipping them to > q1/q3 is effectively hiding a problem... > > I agree. I disabled the boxplot notch shortening in r8040.
(This still leaves open the question of what the notches actually _are_...) -Andrew ------------------------------------------------------------------------------ This SF.Net email is sponsored by the Verizon Developer Community Take advantage of Verizon's best-in-class app development support A streamlined, 14 day to market process makes app distribution fast and easy Join now and get one step closer to millions of Verizon customers http://p.sf.net/sfu/verizon-dev2dev _______________________________________________ Matplotlib-devel mailing list Matplotlib-devel@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-devel
