On Fri, Oct 7, 2011 at 3:40 PM, Paul Hobson <pmhob...@gmail.com> wrote:
> Hey folks,
>
> I'm working on a patch to axes.boxplot that will allow the user to
> manually specify the median and confidence intervals (notches) on a
> boxplot. My need for this arises since I compute the notch locations
> using the BCa-method, which depends on Scipy.
>
> My question relates to how to best have users input their predefined
> median and its confidence interval. In my use case, I'm always calling
> boxplot one data set at a time and so it has made sense for me pass
> the values as a dictionary to my locally-modified boxplot function.
> This is probably a quite unique use case.
>
> In the more general use case where an arbitrary number of boxplots
> will be generated on a single axes object, what would be the best
> method of input? My initial though is to specify a list-of-tuples in
> the form: [(lower1, median1, upper1), (lower2, median2, upper2), ...,
> (lowerN, medianN, upperN)]. The modified function signature would be:
> def boxplot(self, x, notch=0, sym='b+', vert=1, whis=1.5,
> positions=None, widths=None, patch_artist=False,
> bootstrap=None, manualVals=None):
>
> The other best option that comes to mind would be to pass each value
> as an individual numpy array with dimensions that are compatible with
> the data (x), i.e.,
> def boxplot(self, x, notch=0, sym='b+', vert=1, whis=1.5,
> positions=None, widths=None, patch_artist=False,
> bootstrap=None, lowerCIs=None, medians=None, upperCIs=None):
>
> This seems a bit cumbersome both to use and implement, though quite
> flexible as the user would not be forced to supply all three arrays.
>
> Any advice, requests, or general input would be much appreciated.
>
> Cheers,
> -Paul H.
>
>
Just a thought to throw out there... maybe the call
signatures/functionalities of boxplot() and errorbar() should get merged?
To me, I imagine these kinds of plots as being two sides of the same coin.
Cheers!
Ben Root
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