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I was looking to use this to get around a simple issue that I have with numpy histograms: specifically, numpy histograms work by calculating a cumulative sum across the bin ranges, which means that when weights vary by a factor of 10e6 or so from one end of the spectrum to the other (i.e. in simulated LHC dijet spectra) the low-weight end is lost to roundoff error.
I took a look and it wasn't clear if numpy histograms are being used behind the scenes. If not, great, this is probably exactly what I need. If so, also great, because as part of this project we should probably fix numpy histograms.
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