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/439#issuecomment-212979439,https://api.github.com/repos/pydata/xarray/issues/439,212979439,MDEyOklzc3VlQ29tbWVudDIxMjk3OTQzOQ==,1217238,2016-04-21T15:43:27Z,2016-04-21T15:43:27Z,MEMBER,"The good news is that I fixed this display bug upstream in [NumPy 1.11](https://github.com/numpy/numpy/blob/master/doc/release/1.11.0-notes.rst), which came out last month. If you upgrade to NumPy 1.11, datetimes are always treated as timezone naive. So I think we can actually consider this issue fixed.
","{""total_count"": 2, ""+1"": 2, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,89866276
https://github.com/pydata/xarray/issues/439#issuecomment-124657664,https://api.github.com/repos/pydata/xarray/issues/439,124657664,MDEyOklzc3VlQ29tbWVudDEyNDY1NzY2NA==,1217238,2015-07-24T19:29:03Z,2015-07-24T19:29:03Z,MEMBER,"https://github.com/xray/xray/blob/v0.5.2/xray/core/formatting.py#L250

The `repr` call on this line would need to be replaced with another function that checks the dtype of the numpy array and uses custom handling for datetime64.
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