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/1695#issuecomment-343212619,https://api.github.com/repos/pydata/xarray/issues/1695,343212619,MDEyOklzc3VlQ29tbWVudDM0MzIxMjYxOQ==,14314623,2017-11-09T16:36:19Z,2017-11-09T16:36:26Z,CONTRIBUTOR,"I think I found the issue. A previous step apparently triggered computation and thus groupby overwhelmed the memory. Thanks for the advice. I will also definitely try to install the new RC tonight and test it out.
I think for now we can close this.","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,271957479
https://github.com/pydata/xarray/issues/1695#issuecomment-342677808,https://api.github.com/repos/pydata/xarray/issues/1695,342677808,MDEyOklzc3VlQ29tbWVudDM0MjY3NzgwOA==,1217238,2017-11-08T01:15:27Z,2017-11-08T01:15:27Z,MEMBER,"It would be helpful if you could test with our latest [release candidate](http://xarray.pydata.org/en/v0.10.0rc1/whats-new.html) and report the output of `xr.show_versions()`.

Does this crash when you create the computation, or when you evaluate it? e.g.,
```
result = ds.groupby_bins('O2_LINEAR', np.array([0,20,40,60,100])).max()  # here?
result.compute()  # or here?
```

Monitoring memory usage can also be a good idea when using dask.","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,271957479
https://github.com/pydata/xarray/issues/1695#issuecomment-342600436,https://api.github.com/repos/pydata/xarray/issues/1695,342600436,MDEyOklzc3VlQ29tbWVudDM0MjYwMDQzNg==,1197350,2017-11-07T19:48:07Z,2017-11-07T19:48:07Z,MEMBER,You can often get more debugging info if you run your command in the console (rather than the notebook).,"{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,271957479