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-345157498,https://api.github.com/repos/pydata/xarray/issues/1720,345157498,MDEyOklzc3VlQ29tbWVudDM0NTE1NzQ5OA==,6815844,2017-11-17T06:32:14Z,2017-11-17T06:32:14Z,MEMBER,"OK. Found a bug and sent a PR.
This was the smallest bug fix I have ever done :)","{""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-345126212,https://api.github.com/repos/pydata/xarray/issues/1720,345126212,MDEyOklzc3VlQ29tbWVudDM0NTEyNjIxMg==,6815844,2017-11-17T02:23:09Z,2017-11-17T02:23:59Z,MEMBER,"I don't think we have tests of this case for any backend other than `dask` after #1532.
In my local tests, many backend array are loaded after `print`.","{""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-345125593,https://api.github.com/repos/pydata/xarray/issues/1720,345125593,MDEyOklzc3VlQ29tbWVudDM0NTEyNTU5Mw==,1217238,2017-11-17T02:18:55Z,2017-11-17T02:18:55Z,MEMBER,"The private `Variable._in_memory` attribute (e.g., `ds.variables['temperature']._in_memory`) will tell you if xarray thinks the data is in memory for the purposes of printing array values.

Are you using dask to load this data? That can also change things.","{""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 <notifications@github.com>
wrote:

> @WeatherGod <https://github.com/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 <https://github.com/pydata/xarray/pull/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
> <https://github.com/pydata/xarray/issues/1720#issuecomment-345122204>, or mute
> the thread
> <https://github.com/notifications/unsubscribe-auth/AARy-MO7la8KSJnQoto8Kso5gBYedUKQks5s3OgSgaJpZM4Qflk->
> .
>
","{""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-345122204,https://api.github.com/repos/pydata/xarray/issues/1720,345122204,MDEyOklzc3VlQ29tbWVudDM0NTEyMjIwNA==,1217238,2017-11-17T01:57:37Z,2017-11-17T01:57:37Z,MEMBER,"@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).","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,274308380