Date: Wed, 05 Mar 2014 17:45:47 +0100 > From: Sebastian Berg <[email protected]> > Subject: [Numpy-discussion] Adding weights to cov and corrcoef > To: [email protected] > Message-ID: <1394037947.21356.20.camel@sebastian-t440> > Content-Type: text/plain; charset="UTF-8" > > Hi all, > > in Pull Request https://github.com/numpy/numpy/pull/3864 Neol Dawe > suggested adding new parameters to our `cov` and `corrcoef` functions to > implement weights, which already exists for `average` (the PR still > needs to be adapted). >
Do you mean adopted? > However, we may have missed something obvious, or maybe it is already > getting too statistical for NumPy, or the keyword argument might be > better `uncertainties` and `frequencies`. So comments and insights are > very welcome :). > +1 for it being "too baroque" for NumPy--should go in SciPy (if it isn't already there): IMHO, NumPy should be kept as "lean and mean" as possible, embellishments are what SciPy is for. (Again, IMO.) DG
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