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/6799#issuecomment-1188348238,https://api.github.com/repos/pydata/xarray/issues/6799,1188348238,IC_kwDOAMm_X85G1MFO,39069044,2022-07-18T21:43:11Z,2022-07-18T21:43:11Z,CONTRIBUTOR,"The chunking structure on disk is pretty instrumental to my application, which requires fast retrievals of full slices in the time dimension. The loop option in my first post only takes about 10 seconds with `ni=1000` which is fine for my use case, so I'll probably go with that for now. It would be interesting to dig deeper though and see if there is a way to handle this better in the interp logic.","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,1307112340
https://github.com/pydata/xarray/issues/6799#issuecomment-1187729258,https://api.github.com/repos/pydata/xarray/issues/6799,1187729258,IC_kwDOAMm_X85Gy09q,39069044,2022-07-18T16:44:40Z,2022-07-18T16:44:40Z,CONTRIBUTOR,Interpolating on chunked dimensions doesn't work at all prior to #4155. The changes in #4069 are also relevant.,"{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,1307112340