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  • Diagnose groupby/groupby_bins issues · 3 ✖
id html_url issue_url node_id user created_at updated_at ▲ author_association body reactions performed_via_github_app issue
343212619 https://github.com/pydata/xarray/issues/1695#issuecomment-343212619 https://api.github.com/repos/pydata/xarray/issues/1695 MDEyOklzc3VlQ29tbWVudDM0MzIxMjYxOQ== jbusecke 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.

 
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   Diagnose groupby/groupby_bins issues 271957479
342677808 https://github.com/pydata/xarray/issues/1695#issuecomment-342677808 https://api.github.com/repos/pydata/xarray/issues/1695 MDEyOklzc3VlQ29tbWVudDM0MjY3NzgwOA== shoyer 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 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.

 
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   Diagnose groupby/groupby_bins issues 271957479
342600436 https://github.com/pydata/xarray/issues/1695#issuecomment-342600436 https://api.github.com/repos/pydata/xarray/issues/1695 MDEyOklzc3VlQ29tbWVudDM0MjYwMDQzNg== rabernat 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).

 
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   Diagnose groupby/groupby_bins issues 271957479

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