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  • max-sixty · 2 ✖

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  • Pointwise indexing · 2 ✖
id html_url issue_url node_id user created_at updated_at ▲ author_association body reactions performed_via_github_app issue
586099185 https://github.com/pydata/xarray/issues/3768#issuecomment-586099185 https://api.github.com/repos/pydata/xarray/issues/3768 MDEyOklzc3VlQ29tbWVudDU4NjA5OTE4NQ== max-sixty 5635139 2020-02-14T05:01:56Z 2020-02-14T05:02:33Z MEMBER

Thanks for the clear question.

Having array and xr.DataArray(array) behave differently as arguments is (fairly) rare, so I can understand that it might be surprising at first.

One advantage of this is it allowing pointwise indexing over a new dimension. Generally that would be a usefully named dimension (e.g. z in the docs), rather than dim_0 though...

I'll defer to @shoyer on commenting on his design choices if he sees this thread

I do think it's complicated though (I find myself re-reading the docs and trying to remember how it works depending on the type & order of the arguments!), and a nicely presented table with the possible indexing methods and their results would be great.

 
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   Pointwise indexing 564555854
586073334 https://github.com/pydata/xarray/issues/3768#issuecomment-586073334 https://api.github.com/repos/pydata/xarray/issues/3768 MDEyOklzc3VlQ29tbWVudDU4NjA3MzMzNA== max-sixty 5635139 2020-02-14T02:54:31Z 2020-02-14T02:54:31Z MEMBER

Why do DataArrays have different behavior than other array-likes for these methods?

Could you expand a bit? Do you mean re sel etc rather than positional indexing?

 
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   Pointwise indexing 564555854

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