> I think (a corrected) density histogram is core functionality for > unequal bin lengths. > > The graph with raw count in the case of unequal bin sizes would be > quite misleading when plotted and interpreted on the real line and not > on discrete points (shaded areas instead of vertical lines). And as > the origin of this thread showed, it's not trivial to figure out what > the correct normalization is. > So, I think, if we drop the density normalization, we just need a new > function that does it. > > My 2c, > > Josef
(Not a dev, but ) I agree with Josef. Throwing out normalization completely would in addition have to destroy backwards compatibility. It's another question whether the frequency ( not density! ) normalization is so simple that it is better left out, since everyone can be expected to be able to do a raw histogram and divide by the number of data points without a headache. Nils _______________________________________________ NumPy-Discussion mailing list NumPy-Discussion@scipy.org http://mail.scipy.org/mailman/listinfo/numpy-discussion
