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675125293 https://github.com/pydata/xarray/issues/3894#issuecomment-675125293 https://api.github.com/repos/pydata/xarray/issues/3894 MDEyOklzc3VlQ29tbWVudDY3NTEyNTI5Mw== max-sixty 5635139 2020-08-17T21:29:22Z 2020-08-17T21:29:22Z MEMBER

A level down, re the name — I thought .vars might be decent — but potentially it's too similar to .variables — which is a mapping to the actual variables (and can't take multiple selections)

 
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   Add public API for Dataset._copy_listed 588112617
675124770 https://github.com/pydata/xarray/issues/3894#issuecomment-675124770 https://api.github.com/repos/pydata/xarray/issues/3894 MDEyOklzc3VlQ29tbWVudDY3NTEyNDc3MA== max-sixty 5635139 2020-08-17T21:27:59Z 2020-08-17T21:27:59Z MEMBER

I do think having a Dataset behave similarly to a dict / Mapping is generally good, and allows new users to bring existing understandings around those data structures to the xarray data model.

I recognize that a hashable iterable (e.g. ('a', 'b', 'c') is an annoying corner case, though. 

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   Add public API for Dataset._copy_listed 588112617
604506561 https://github.com/pydata/xarray/issues/3894#issuecomment-604506561 https://api.github.com/repos/pydata/xarray/issues/3894 MDEyOklzc3VlQ29tbWVudDYwNDUwNjU2MQ== max-sixty 5635139 2020-03-26T15:46:05Z 2020-03-26T15:46:05Z MEMBER

Would that be different from ensuring the input is a list?

Moreover, because Dataset__getitem__ is type unstable,

I very much empathize with the pain from methods being type unstable; indeed I think that's one of the biggest benefits of xarray over pandas. Here, it's stable over the same typed inputs. i.e. if supplied with a list, it returns with a dataset, otherwise it returns a DataArray. (or am I missing something?)

it makes it hard to detect this kind of error using mypy

Is there a way in mypy we could use something like overload to specify the above contract here, as an alternative to another method?

 
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