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/1603#issuecomment-557567339,https://api.github.com/repos/pydata/xarray/issues/1603,557567339,MDEyOklzc3VlQ29tbWVudDU1NzU2NzMzOQ==,2448579,2019-11-22T15:08:26Z,2019-11-22T15:08:26Z,MEMBER,"> My first attempt was to just assume each dimension was orthogonal, which resulted in out-of-memory errors

We have experimental support for https://sparse.pydata.org/en/latest/index.html that may help but no documentation unfortunately. There are some details here: https://github.com/pydata/xarray/issues/3213 and https://github.com/pydata/xarray/issues/3484","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,262642978
https://github.com/pydata/xarray/issues/1603#issuecomment-549097800,https://api.github.com/repos/pydata/xarray/issues/1603,549097800,MDEyOklzc3VlQ29tbWVudDU0OTA5NzgwMA==,2448579,2019-11-03T02:03:35Z,2019-11-03T02:03:35Z,MEMBER,@shoyer I was thinking of starting on one of the listed files. Do you have any tips? Are you working on any of those at present? What might be the easiest one to begin?,"{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,262642978