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  • Cannot store data after group_by · 5 ✖

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id html_url issue_url node_id user created_at updated_at ▲ author_association body reactions performed_via_github_app issue
476699976 https://github.com/pydata/xarray/issues/2847#issuecomment-476699976 https://api.github.com/repos/pydata/xarray/issues/2847 MDEyOklzc3VlQ29tbWVudDQ3NjY5OTk3Ng== rabernat 1197350 2019-03-26T15:22:43Z 2019-03-26T15:22:43Z MEMBER

Also xref #2844

 
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   Cannot store data after group_by 424538928
476696252 https://github.com/pydata/xarray/issues/2847#issuecomment-476696252 https://api.github.com/repos/pydata/xarray/issues/2847 MDEyOklzc3VlQ29tbWVudDQ3NjY5NjI1Mg== rabernat 1197350 2019-03-26T15:15:14Z 2019-03-26T15:21:36Z MEMBER

In the longer term, we could move towards supporting IntervalIndex as an in-memory representation of CF-conventions' cell bounds concept. In addition to many other benefits, this would allow us to encode and decode such indices from netCDF files.

xref #1475

 
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   Cannot store data after group_by 424538928
476252880 https://github.com/pydata/xarray/issues/2847#issuecomment-476252880 https://api.github.com/repos/pydata/xarray/issues/2847 MDEyOklzc3VlQ29tbWVudDQ3NjI1Mjg4MA== fmaussion 10050469 2019-03-25T15:39:09Z 2019-03-25T15:39:09Z MEMBER

A hint in the documentation may hinder others to fall into this pit.

Agreed. Would you like to submit a pull-request?

Also it would be nice to have intervals serialized into netCDF since they are quite common structures.

There are ways to deal with intervals in the CF conventions, but what we really need is a way for xarray to truly understand intervals, which is a much bigger endeavor. 

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   Cannot store data after group_by 424538928
475918645 https://github.com/pydata/xarray/issues/2847#issuecomment-475918645 https://api.github.com/repos/pydata/xarray/issues/2847 MDEyOklzc3VlQ29tbWVudDQ3NTkxODY0NQ== spencerkclark 6628425 2019-03-24T01:09:25Z 2019-03-24T01:09:25Z MEMBER

Thanks for the issue. I think the main problem is that we currently do not have a way of saving an IntervalIndex, which groupby_bins produces, to a netCDF file: In [7]: out.indexes['data_bins'] Out[7]: IntervalIndex([(0, 2], (2, 4], (4, 6], (6, 8]], closed='right', dtype='interval[int64]') One way to work around this in the meantime is to redefine the bins coordinate before saving things to a file. See @jhamman's answer to a related StackOverflow question for an example.

 
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   Cannot store data after group_by 424538928
475917578 https://github.com/pydata/xarray/issues/2847#issuecomment-475917578 https://api.github.com/repos/pydata/xarray/issues/2847 MDEyOklzc3VlQ29tbWVudDQ3NTkxNzU3OA== dcherian 2448579 2019-03-24T00:46:35Z 2019-03-24T00:46:35Z MEMBER

Try data = np.array(...)

 
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   Cannot store data after group_by 424538928

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