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/1121#issuecomment-260704684,https://api.github.com/repos/pydata/xarray/issues/1121,260704684,MDEyOklzc3VlQ29tbWVudDI2MDcwNDY4NA==,1310437,2016-11-15T17:15:25Z,2016-11-15T17:15:25Z,CONTRIBUTOR,"I think I found it (#1122). I guess whenever a non-scalar assignment is made (as in `result[:] = [value]`), something like `np.asanyarray` is performed on the new value. Luckily, numpy is perfectly happy with indexing of a 0d array with a 0d index (i.e. an empty tuple).
Thinking about it, `result[0] = value` would probably have worked too.
","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,189415576
https://github.com/pydata/xarray/issues/1121#issuecomment-260697960,https://api.github.com/repos/pydata/xarray/issues/1121,260697960,MDEyOklzc3VlQ29tbWVudDI2MDY5Nzk2MA==,1310437,2016-11-15T16:52:41Z,2016-11-15T16:52:41Z,CONTRIBUTOR,"Well, xarrays are way too useful not to nest them, even if that involves the scary `dtype=object` :-). Thanks for pointing me in the right direction, I'll try to find a fix.
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