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/3416#issuecomment-544312894,https://api.github.com/repos/pydata/xarray/issues/3416,544312894,MDEyOklzc3VlQ29tbWVudDU0NDMxMjg5NA==,56707780,2019-10-21T01:04:48Z,2019-10-21T01:04:48Z,NONE,"Got it, thanks everyone. I'll open this issue there. We'll try and work on getting our NetCDF4 compatibility issues addressed to avoid this space issue, as we are working with large imaging datasets.","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,509285415
https://github.com/pydata/xarray/issues/3416#issuecomment-544183597,https://api.github.com/repos/pydata/xarray/issues/3416,544183597,MDEyOklzc3VlQ29tbWVudDU0NDE4MzU5Nw==,13770365,2019-10-19T18:19:08Z,2019-10-19T18:19:33Z,NONE,"Yes, you're right @max-sixty, seems like the actual IO is happening within scipy. Do you have any suggestions for how I might troubleshoot this further? Could I make a similar example that uses only the scipy netcdf functionality somehow to drill down into where the memory error is coming from?","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,509285415