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Convenience wrappers around numpy's histogram and histogram2d

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It would be nice if there was an option to clip input data that is out of range of the histogram to the nearest bin in range.

enhancement

Something like ``` mh.Histdd(...) means, errors = mh.profile(axis=0) ``` and ``` mh.profileplot(axis=0) ``` maybe even some fitting shortcuts?

enhancement

Before, multihist would not complain when I added two nD-hists even if they had different dimensionality. This could result in ambiguous results so in this PR I added some checks...

This PR modifies the function `Histdd.slice`, to let it support binning fragment when the `start` or `stop` are not exactly at the bin edges. The fragments are calculated by multiplying...