html_url,issue_url,id,node_id,user,created_at,updated_at,author_association,body,reactions,performed_via_github_app,issue
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
wrote:
> @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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","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,396102183
https://github.com/pydata/xarray/pull/2652#issuecomment-451703221,https://api.github.com/repos/pydata/xarray/issues/2652,451703221,MDEyOklzc3VlQ29tbWVudDQ1MTcwMzIyMQ==,1217238,2019-01-06T00:05:49Z,2019-01-06T00:05:49Z,MEMBER,"I also think making this a function is probably a good idea, even though it's different from pandas.
One question: how should these functions align their arguments? Recall that xarray does an `inner` join for arithmetic (though there's an option to control this), and an `outer` join in most other cases. It's not entirely obvious to me what the right choice is here (or if it really even matters).","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,396102183