Fernando Perez wrote: > On Fri, Dec 18, 2009 at 2:28 PM, Andrew Straw <straw...@astraw.com> wrote: > >> (This still leaves open the question of what the notches actually _are_...) >> > > No idea. I'd still leave the code instead written as > > notch_max = med + (iq/2) * (pi/np.sqrt(row)) > Further searching turned this up: http://seismo.berkeley.edu/~kirchner/eps_120/Toolkits/Toolkit_01.pdf
It says that median +/- 1.57 * (iq / sqrt(n)) is the median, plus or minus its standard error. I can't find any further support for this notion, though. I've decided not to use notches on my own plots, so I'm leaving this issue for now... -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
