issues: 169368546

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id node_id number title user state locked assignee milestone comments created_at updated_at closed_at author_association active_lock_reason draft pull_request body reactions performed_via_github_app state_reason repo type
169368546 MDU6SXNzdWUxNjkzNjg1NDY= 942 Filtering by data variable name 4160723 closed 0     3 2016-08-04T13:01:20Z 2016-08-04T19:09:07Z 2016-08-04T19:09:07Z MEMBER      

Given #844 and #916, maybe it might be useful to also have a Dataset.filter_by_name method?

I currently deal with datasets that have many data variables with names like:

... reference__HONO (rlevel) float64 3.16e-15 1e-14 1e-14 1e-14 ... reference__NO (rlevel) float64 2.16e-05 3.57e-06 9.3e-07 ... reference__HO2NO2 (rlevel) float64 9.58e-20 7.32e-19 4.63e-18 ... ... retrieved__O3 (level) float64 1.552e-06 5.618e-07 ... retrieved__N2O (level) float64 4.714e-11 9.905e-11 ... retrieved__CO2 (level) float64 0.0002816 0.0003592 ... ...

Using ds.filter_by_name(like='reference__') would be less verbose than, e.g., xr.Dataset({name: ds[name] for name in ds.keys() if 'reference__' in name}), unless there is already a more convenient way that I'm missing?

 
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