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  • shoyer · 1 ✖

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  • Automatic label alignment · 1 ✖

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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
73464476 https://github.com/pydata/xarray/issues/186#issuecomment-73464476 https://api.github.com/repos/pydata/xarray/issues/186 MDEyOklzc3VlQ29tbWVudDczNDY0NDc2 shoyer 1217238 2015-02-09T06:48:28Z 2015-02-09T06:48:28Z MEMBER

I have most of a working implementation for this that will be up for a PR shortly. Here's some of my thinking on expected behavior.

Based on the principle that combining arrays into a new dataset should not remove information, it makes sense to use outer joins for Dataset.__init__ and Dataset.merge. This is the same behavior pandas uses

When adding an item to an existing dataset, it would be surprising if indexes or dimension sizes changed. So I think we should be using left joins for __setitem__ and update. This is also what pandas does.

Right now, we use Dataset.merge to handle all operations that add new items to a dataset. Adding automatic alignment is turning that into even more of a kludgy mess than it already was. I think some simplification of scope for update/__setitem__/merge would help, though I'm not sure it's worth breaking existing code.

 
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   Automatic label alignment 38110382

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