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/3245#issuecomment-555650664,https://api.github.com/repos/pydata/xarray/issues/3245,555650664,MDEyOklzc3VlQ29tbWVudDU1NTY1MDY2NA==,5635139,2019-11-19T18:44:23Z,2019-11-19T18:44:23Z,MEMBER,"> `assparse` could read in at least two different ways, and one of which is not really appropriate.

brilliant","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,484240082
https://github.com/pydata/xarray/issues/3245#issuecomment-524456277,https://api.github.com/repos/pydata/xarray/issues/3245,524456277,MDEyOklzc3VlQ29tbWVudDUyNDQ1NjI3Nw==,5635139,2019-08-23T20:44:53Z,2019-08-23T20:44:53Z,MEMBER,"I do think the pandas approach is pretty good here - don't break anything relying on `.values` - instead have `.array` to get the backing array (in whatever form it might be), and `to_numpy()` coercing to a raw numpy array

ref https://pandas.pydata.org/pandas-docs/stable/whatsnew/v0.24.0.html#accessing-the-values-in-a-series-or-index","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,484240082