issue_comments: 290130241
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html_url | issue_url | id | node_id | user | created_at | updated_at | author_association | body | reactions | performed_via_github_app | issue |
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https://github.com/pydata/xarray/issues/1092#issuecomment-290130241 | https://api.github.com/repos/pydata/xarray/issues/1092 | 290130241 | MDEyOklzc3VlQ29tbWVudDI5MDEzMDI0MQ== | 4160723 | 2017-03-29T15:38:46Z | 2017-03-29T15:38:46Z | MEMBER | @darothen you might be interested by the discussion we had here, although it doesn't solve anything related to selection across similar Dataset objects. I think that the collection of Both approaches may co-exist, though. I can imagine the case where we have (1) a set of, e.g., grid-search or monte-carlo model runs and (2) for each model run we have diagnostic variables defined in different places on the grid (e.g., nodes, edges...). The tuple-defined groups within a Dataset is useful for 2 and the collection of Dataset objects is useful for 1. As pointed out by @shoyer, such a collection of Dataset objects might be (preferably) implemented outside of xarray. |
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