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/7587#issuecomment-1456139058,https://api.github.com/repos/pydata/xarray/issues/7587,1456139058,IC_kwDOAMm_X85Wyusy,14808389,2023-03-06T13:29:14Z,2023-03-06T13:29:14Z,MEMBER,"thanks, that helps. However, it does not confirm my suspicion since all data variables are already in `float64`, and thus they shouldn't change dtypes. Could you also post the `repr` (either the text or the html repr should be sufficient) of `a`, and maybe also the file type of the file you're loading the dataset from (`ifileFamBulk`)?","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,1611288905
https://github.com/pydata/xarray/issues/7587#issuecomment-1456063239,https://api.github.com/repos/pydata/xarray/issues/7587,1456063239,IC_kwDOAMm_X85WycMH,14808389,2023-03-06T12:41:24Z,2023-03-06T12:41:49Z,MEMBER,"I can't really tell from the information you posted so far. Could you post the `repr` of `da_fam_bulk` (`print(da_fam_bulk)` or `display(da_fam_bulk)` using `ipython` / `jupyter`, plus maybe a screenshot of the HTML repr if you're in a notebook)?

I do suspect, however, that `da_fam_bulk` has a dtype that is not `float64`, but `where` will use `float64(nan)` as a fill value, casting the entire array to a dtype that has a much higher memory usage.","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,1611288905