Ben, Thanks for the reply. I definitely like your idea. Seems like we could include some logic in axes.errorbar to look at the shapes of xerr and yerr in a similar fashion to what I propose for axes.boxplots, allowing the user to have custom lower and upper errors for each data point (in a time series as I would use it).
I'll try to bang that out this weekend while this is still fresh. -p On Fri, Dec 9, 2011 at 1:29 PM, Benjamin Root <ben.r...@ou.edu> wrote: > On Thu, Dec 8, 2011 at 10:45 AM, Paul Hobson <pmhob...@gmail.com> wrote: >> >> Matplotlib gurus: >> >> I took at stab at the git work flow and incorporated my personal >> modifications to the boxplot function. Github's diff can be found >> here: >> https://github.com/phobson/matplotlib/compare/master...manual_boxplots >> >> In summary, if your data is MxN, you can manually specify medians and >> the confidence intervals around the medians using Nx1 and Nx2 arrays, >> respectively. Alternatively, you can use lists or tuples and use Nones >> if you want to specify those values only for some columns in your MxN >> data set. In other words, with an Mx5 data array, you can specify >> conf_intervals=[(ci1a,ci2a), (ci1b,ci2b), (ci1c,ci2c), None, >> (ci1e,ci2e)]. Within the conf_intervals "array", the CIs can be listed >> in any order as I use np.max() and np.min() to pull the upper and >> lower values, respectively. >> >> The motivation behind this is that sometimes I need the confidence >> levels to be different than 95%, and also that I compute those >> confidence intervals with a bootstrapping routine that is more robust >> than mpl-compatible one I submitted some time ago. >> >> I hope y'all find this to be a useful contribution. I'm an avid >> matplotlib user. It really is a wonderful tool. >> >> Cheers, >> paul h >> > > Paul, > > Interesting. I haven't had much time to really look over your changes, but > I have been wondering if the errorbar() and boxplot() functions could be > treated as two different ways to display similar information. Therefore, > perhaps their call signatures could be made more similar to each other. > What do you think? > > Ben Root > ------------------------------------------------------------------------------ Cloud Services Checklist: Pricing and Packaging Optimization This white paper is intended to serve as a reference, checklist and point of discussion for anyone considering optimizing the pricing and packaging model of a cloud services business. Read Now! http://www.accelacomm.com/jaw/sfnl/114/51491232/ _______________________________________________ Matplotlib-devel mailing list Matplotlib-devel@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-devel