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/1093#issuecomment-857330304,https://api.github.com/repos/pydata/xarray/issues/1093,857330304,MDEyOklzc3VlQ29tbWVudDg1NzMzMDMwNA==,26384082,2021-06-09T02:50:46Z,2021-06-09T02:50:46Z,NONE,"In order to maintain a list of currently relevant issues, we mark issues as stale after a period of inactivity

If this issue remains relevant, please comment here or remove the `stale` label; otherwise it will be marked as closed automatically
","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,187872991
https://github.com/pydata/xarray/issues/1093#issuecomment-259204793,https://api.github.com/repos/pydata/xarray/issues/1093,259204793,MDEyOklzc3VlQ29tbWVudDI1OTIwNDc5Mw==,2783717,2016-11-08T17:37:25Z,2016-11-08T17:37:25Z,NONE,"I'm not sure if I follow how this is a duck typing use case. I'd write this as a method, following your suggestion on SO:

> Toward this end, it would be nice if xarray had something like dask.array's to_delayed method for converting a Dataset into an array of delayed datasets, which you could then lazily convert into DataFrame objects and do your computation.

Can you explain why you think this could benefit from collection duck typing?
","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,187872991