[Numpy-discussion] numpy histogram normed=True (bug / confusing behavior)
Mon Aug 30 09:19:32 CDT 2010
On Mon, Aug 30, 2010 at 8:29 AM, David Huard <firstname.lastname@example.org> wrote:
> Thanks for the feedback,
> As far as I understand it, the proposition is to keep histogram as it is
> for 1.5, then in 2.0, deprecate normed=True but keep the buggy behavior,
> while adding a density keyword that fixes the bug. In a later release, we
> could then get rid of normed. While the bug won't be present in histogramdd
> and histogram2d, the keyword change should be mirrored in those functions as
> I personally am not too keen on changing the keyword normed for density. I
> feel we are trading clarity for a few new users against additional trouble
> for many existing users. We could mitigate this by first documenting the
> change in the docstring and live with both keywords for a few years before
> raising a DeprecationWarning.
> Since this has a direct impact on matloblib's hist, I'd be keen to hears
> the devs on this.
I am not a dev, but I would like to give a word of warning from matplotlib.
In matplotlib, the bar/hist family of functions grew organically as the devs
took on various requests to add keywords and such to modify the style and
behavior of those graphing functions. It has now become an unmaintainable
mess, prompting discussions on how to rip it out and replace it with a
cleaner implementation. While everyone agrees that it needs to be done, we
all don't want to break backwards compatibility.
My personal feeling is that a function should do one thing, and do that one
thing well. So, to me, that means that histogram() should return an array
of counts and the bins for those counts. Anything more is merely window
dressing to me. With this information, one can easily compute a cumulative
distribution function, and/or normalize the result. The idea is that if
there is nothing special that needs to be done within the histogram
algorithm to accommodate these extra features, then they belong outside the
My 2 cents,
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