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https://github.com/pydata/xarray/pull/2652#issuecomment-452014148 https://api.github.com/repos/pydata/xarray/issues/2652 452014148 MDEyOklzc3VlQ29tbWVudDQ1MjAxNDE0OA== 1217238 2019-01-07T17:29:45Z 2019-01-07T17:29:45Z MEMBER

I agree that the case for DataArray.dot is questionable. It sort of makes sense because numpy and pandas both have it as a method, but the @ operator is a really a cleaner way to express this now that we're Python 3 only. (Speaking of which, why don't we support @ in xarray yet? :).)

On Mon, Jan 7, 2019 at 1:43 AM Keisuke Fujii notifications@github.com wrote:

@max-sixty https://github.com/max-sixty I am not sure whether DataArray.dot is a right choice. But I am wondering for cov case, it sounds like to compute a covariance of the DataArray itself rather than the cross covariance with another DataArray.

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