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2 rows where author_association = "MEMBER", issue = 456971151 and user = 1217238 sorted by updated_at descending

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  • shoyer · 2 ✖

issue 1

  • Add "errors" keyword argument to drop() and drop_dims() (#2994) · 2 ✖

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  • MEMBER · 2 ✖
id html_url issue_url node_id user created_at updated_at ▲ author_association body reactions performed_via_github_app issue
504069867 https://github.com/pydata/xarray/pull/3028#issuecomment-504069867 https://api.github.com/repos/pydata/xarray/issues/3028 MDEyOklzc3VlQ29tbWVudDUwNDA2OTg2Nw== shoyer 1217238 2019-06-20T15:24:19Z 2019-06-20T15:24:19Z MEMBER

OK, I'm going to go ahead and merge after tests pass!

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  Add "errors" keyword argument to drop() and drop_dims() (#2994) 456971151
503189754 https://github.com/pydata/xarray/pull/3028#issuecomment-503189754 https://api.github.com/repos/pydata/xarray/issues/3028 MDEyOklzc3VlQ29tbWVudDUwMzE4OTc1NA== shoyer 1217238 2019-06-18T15:33:50Z 2019-06-18T15:33:50Z MEMBER

This looks great, thank you!

One design question: should we stick with errors='ignore' like pandas, or would it be better to use a more self-descriptive argument name like missing='ignore'/missing='raise'?

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  Add "errors" keyword argument to drop() and drop_dims() (#2994) 456971151

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