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/680#issuecomment-272669140,https://api.github.com/repos/pydata/xarray/issues/680,272669140,MDEyOklzc3VlQ29tbWVudDI3MjY2OTE0MA==,1217238,2017-01-15T02:35:24Z,2017-01-15T02:35:24Z,MEMBER,I have a fix for this up for review in #1207,"{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,122384593
https://github.com/pydata/xarray/issues/680#issuecomment-164937821,https://api.github.com/repos/pydata/xarray/issues/680,164937821,MDEyOklzc3VlQ29tbWVudDE2NDkzNzgyMQ==,1217238,2015-12-15T23:46:31Z,2015-12-15T23:46:31Z,MEMBER,"Yes, I agree!

Right now, we outsource the repr for DataArray values by calling NumPy. So fixing this would entail either forking the formatting logic from NumPy or adding our own wrapper.

One way to do this might to use `np.set_printoptions` to adjust `edgeitems` (using something like [this context manager](http://stackoverflow.com/a/2891805/809705)), conditional on the dimensionality of the array.
","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,122384593