Instead of an nobs argument, maybe we should have a version that accepts multiple data sets, so that we have the full information and can improve the algorithm over time.
On Mar 15, 2018 7:57 PM, "Thomas Caswell" <tcasw...@gmail.com> wrote: > Yes I like the name. > > The primary use-case for Matplotlib is that our `hist` method can take in > a list of arrays and produces N histograms in one shot. Currently with > 'auto' we only use the first data set to sort out what the bins should be > and then re-use those for the rest of the data sets. This will let us get > the bins on the merged input, but I take Josef's point that this is not > actually what we want.... > > Tom > > On Mon, Mar 12, 2018 at 11:35 PM <josef.p...@gmail.com> wrote: > >> On Mon, Mar 12, 2018 at 11:20 PM, Eric Wieser >> <wieser.eric+nu...@gmail.com> wrote: >> >> Given that the bin selection are data driven, transferring them across >> datasets might not be so useful. >> > >> > The main application would be to compute bins across the union of all >> > datasets. This is already possibly by using `np.histogram` and >> > discarding the first result, but that's super wasteful. >> >> assuming "union" means a combined dataset. >> >> If you stack datasets, then the number of observations will not be >> correct for individual datasets. >> >> In that case an additional keyword like nobs, or whatever name would >> be appropriate for numpy, would be useful, e.g. use the average number >> of observations across datasets. >> Auxiliary statistic like std could then be computed on the total >> dataset (if that makes sense, which would not be the case if the >> variance across datasets is larger than the variance within datasets. >> >> Josef >> >> > _______________________________________________ >> > NumPy-Discussion mailing list >> > NumPy-Discussion@python.org >> > https://mail.python.org/mailman/listinfo/numpy-discussion >> _______________________________________________ >> NumPy-Discussion mailing list >> NumPy-Discussion@python.org >> https://mail.python.org/mailman/listinfo/numpy-discussion >> > > _______________________________________________ > NumPy-Discussion mailing list > NumPy-Discussion@python.org > https://mail.python.org/mailman/listinfo/numpy-discussion > >
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