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-451877705,https://api.github.com/repos/pydata/xarray/issues/2652,451877705,MDEyOklzc3VlQ29tbWVudDQ1MTg3NzcwNQ==,6815844,2019-01-07T09:43:17Z,2019-01-07T09:43:17Z,MEMBER,"@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.
","{""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-451658613,https://api.github.com/repos/pydata/xarray/issues/2652,451658613,MDEyOklzc3VlQ29tbWVudDQ1MTY1ODYxMw==,6815844,2019-01-05T14:07:30Z,2019-01-05T14:07:30Z,MEMBER,"I am a little worrying that users could misunderstand `cov` is for (auto-)covariance rather than cross-covariance, which we are implementing here.
Probably a function like `xr.cov(x, y)` is better than method?
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