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  • dcherian · 3 ✖

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  • Support explicitly setting a dimension order with to_dataframe() · 3 ✖

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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
674206025 https://github.com/pydata/xarray/pull/4333#issuecomment-674206025 https://api.github.com/repos/pydata/xarray/issues/4333 MDEyOklzc3VlQ29tbWVudDY3NDIwNjAyNQ== dcherian 2448579 2020-08-14T18:28:23Z 2020-08-14T18:28:23Z MEMBER

Thanks @Thomas-Z . I see this is your first PR here. Welcome to xarray!

 
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   Support explicitly setting a dimension order with to_dataframe() 676696822
672055923 https://github.com/pydata/xarray/pull/4333#issuecomment-672055923 https://api.github.com/repos/pydata/xarray/issues/4333 MDEyOklzc3VlQ29tbWVudDY3MjA1NTkyMw== dcherian 2448579 2020-08-11T16:10:24Z 2020-08-11T16:10:24Z MEMBER

OK consistency with to_dask_dataframe is a good idea. Maybe stick with dim_order for now and we can change both later if someone really wants it?

 
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   Support explicitly setting a dimension order with to_dataframe() 676696822
672026071 https://github.com/pydata/xarray/pull/4333#issuecomment-672026071 https://api.github.com/repos/pydata/xarray/issues/4333 MDEyOklzc3VlQ29tbWVudDY3MjAyNjA3MQ== dcherian 2448579 2020-08-11T15:42:53Z 2020-08-11T15:42:53Z MEMBER

How about dims: Iterable[Hashable]?

 
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   Support explicitly setting a dimension order with to_dataframe() 676696822

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