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/2160#issuecomment-391041677,https://api.github.com/repos/pydata/xarray/issues/2160,391041677,MDEyOklzc3VlQ29tbWVudDM5MTA0MTY3Nw==,1217238,2018-05-22T15:48:13Z,2018-05-22T15:48:13Z,MEMBER,See https://github.com/pydata/xarray/pull/2168,"{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,324409064
https://github.com/pydata/xarray/issues/2160#issuecomment-390278846,https://api.github.com/repos/pydata/xarray/issues/2160,390278846,MDEyOklzc3VlQ29tbWVudDM5MDI3ODg0Ng==,1217238,2018-05-18T17:35:19Z,2018-05-18T17:35:19Z,MEMBER,"It looks like we were indeed creating a MultiIndex with duplicate level values in this case, which is probably not a great idea -- it's a slightly weird edge case in pandas' data model.

We should probably update the logic in our `multiindex_from_product_levels()` function to factorize levels if they aren't already unique.","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,324409064
https://github.com/pydata/xarray/issues/2160#issuecomment-390241672,https://api.github.com/repos/pydata/xarray/issues/2160,390241672,MDEyOklzc3VlQ29tbWVudDM5MDI0MTY3Mg==,2443309,2018-05-18T15:20:55Z,2018-05-18T15:20:55Z,MEMBER,See also #1499. I don't think we have any tests for duplicate dimensions in xarray so I'm not surprised this has stopped working. ,"{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,324409064