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/pull/4979#issuecomment-790967872,https://api.github.com/repos/pydata/xarray/issues/4979,790967872,MDEyOklzc3VlQ29tbWVudDc5MDk2Nzg3Mg==,1828519,2021-03-04T21:45:53Z,2021-03-04T21:45:53Z,CONTRIBUTOR,"> 2D lat/lon arrays could be as expensive to store as the image itself, even though the values can be computed on the fly with very cheap arithmetic.

Just wanted to mention in case it comes up later, this is true for some datasets and for others the lon/lats are not uniformly spaced so they can't be calculated (just based on the way the satellite instrument works). They have to be loaded from the original dataset (on-disk file). For a while in the Satpy library we were storing 2D dask arrays for the lon/lat coordinates until we realized xarray was sometimes computing them and we didn't want that.","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,819062172