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/1720#issuecomment-345310488,https://api.github.com/repos/pydata/xarray/issues/1720,345310488,MDEyOklzc3VlQ29tbWVudDM0NTMxMDQ4OA==,291576,2017-11-17T17:33:13Z,2017-11-17T17:33:13Z,CONTRIBUTOR,Awesome! Thanks!,"{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,274308380 https://github.com/pydata/xarray/issues/1720#issuecomment-345124033,https://api.github.com/repos/pydata/xarray/issues/1720,345124033,MDEyOklzc3VlQ29tbWVudDM0NTEyNDAzMw==,291576,2017-11-17T02:08:50Z,2017-11-17T02:08:50Z,CONTRIBUTOR,"Is there a convenient sentinel I can check for loaded-ness? The only reason I noticed this was I was debugging another problem with my processing of HRRR files (~600mb each) and the memory usage shot up (did you know that `top` will report memory usage as fractions of terabytes when you get high enough?). I could test this with some smaller netcdf4 files if I could just loop through the variables and assert some sentinal. On Thu, Nov 16, 2017 at 8:57 PM, Stephan Hoyer wrote: > @WeatherGod can you verify that you don't > get immediate loading when loading netCDF files, e.g., with scipy or > netCDF4-python? > > We did change how loading of data works with printing in this release ( > #1532 ), but if anything the > changes should go the other way, to do less loading of data. > > I'm having trouble debugging this locally because I can't seem to get a > working version of pynio installed from conda-forge on OS X (running into > various ABI incompatibility issues when I try this in a new conda > environment). > > — > You are receiving this because you were mentioned. > Reply to this email directly, view it on GitHub > , or mute > the thread > > . > ","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,274308380