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3 rows where author_association = "MEMBER" and issue = 514077742 sorted by updated_at descending

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  • dcherian 1
  • max-sixty 1
  • mathause 1

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  • Keep index dimension when selecting only a single coord · 3 ✖

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  • MEMBER · 3 ✖
id html_url issue_url node_id user created_at updated_at ▲ author_association body reactions performed_via_github_app issue
547584733 https://github.com/pydata/xarray/issues/3458#issuecomment-547584733 https://api.github.com/repos/pydata/xarray/issues/3458 MDEyOklzc3VlQ29tbWVudDU0NzU4NDczMw== max-sixty 5635139 2019-10-29T19:12:18Z 2019-10-29T19:12:18Z MEMBER

Also example_xr.sel(cols=['idx1']) for the more idiomatic use of dim names

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  Keep index dimension when selecting only a single coord 514077742
547562690 https://github.com/pydata/xarray/issues/3458#issuecomment-547562690 https://api.github.com/repos/pydata/xarray/issues/3458 MDEyOklzc3VlQ29tbWVudDU0NzU2MjY5MA== dcherian 2448579 2019-10-29T18:20:30Z 2019-10-29T18:20:40Z MEMBER

We should add this as an example in the documentation since it comes up often enough.

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  Keep index dimension when selecting only a single coord 514077742
547553455 https://github.com/pydata/xarray/issues/3458#issuecomment-547553455 https://api.github.com/repos/pydata/xarray/issues/3458 MDEyOklzc3VlQ29tbWVudDU0NzU1MzQ1NQ== mathause 10194086 2019-10-29T17:59:19Z 2019-10-29T17:59:19Z MEMBER

I think example_xr.loc[:, ["idx1"]] should do what you want.

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  Keep index dimension when selecting only a single coord 514077742

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