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/issues/1115#issuecomment-266525792,https://api.github.com/repos/pydata/xarray/issues/1115,266525792,MDEyOklzc3VlQ29tbWVudDI2NjUyNTc5Mg==,10050469,2016-12-12T19:23:48Z,2016-12-12T19:25:29Z,MEMBER,"I'll chime in here to ask a usage question: what is the recommended way to compute correlation maps with xarray? I.e. I have a dataarray of dims ``(time, lat, lon)`` and I'd like to correlate every single grid point with a timeseries of dim ``(time)`` to get a correlation map of dim ``(lat, lon)``. My current strategy is a wonderfully unpythonic double loop over lons and lats, and I wonder if there's better way?","{""total_count"": 1, ""+1"": 1, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,188996339