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  • convert n-dim array to pandas 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
699592816 https://github.com/pydata/xarray/issues/4466#issuecomment-699592816 https://api.github.com/repos/pydata/xarray/issues/4466 MDEyOklzc3VlQ29tbWVudDY5OTU5MjgxNg== max-sixty 5635139 2020-09-27T06:30:50Z 2020-09-27T19:48:42Z MEMBER

And one point to add, @raybellwaves — DataArray.to_dataframe has been added, so there's no need to go via a Dataset (which IIRC was the case prior).

 
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   convert n-dim array to pandas dataframe 709648652
699594146 https://github.com/pydata/xarray/issues/4466#issuecomment-699594146 https://api.github.com/repos/pydata/xarray/issues/4466 MDEyOklzc3VlQ29tbWVudDY5OTU5NDE0Ng== shoyer 1217238 2020-09-27T06:46:29Z 2020-09-27T06:46:29Z MEMBER

We should probably also remove the context on the error message, so we don't see the caught KeyError, i.e., raise ValueError(...) from None.

 
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   convert n-dim array to pandas dataframe 709648652
699590692 https://github.com/pydata/xarray/issues/4466#issuecomment-699590692 https://api.github.com/repos/pydata/xarray/issues/4466 MDEyOklzc3VlQ29tbWVudDY5OTU5MDY5Mg== shoyer 1217238 2020-09-27T06:03:37Z 2020-09-27T06:03:37Z MEMBER

to_pandas() has the invariant that it returns an object with the same shape as the original, which is different from to_dataframe(). So I don't think we want to convert it automatically.

That said, we should improve this error message by mentioning to_dataframe() as an alternative.

 
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   convert n-dim array to pandas dataframe 709648652

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