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  • Thomas-Z · 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
674361521 https://github.com/pydata/xarray/pull/4333#issuecomment-674361521 https://api.github.com/repos/pydata/xarray/issues/4333 MDEyOklzc3VlQ29tbWVudDY3NDM2MTUyMQ== Thomas-Z 1492047 2020-08-15T07:20:53Z 2020-08-15T07:20:53Z CONTRIBUTOR

My pleasure. I've been a user for a few years now, I'll gladly give something back whenever I can.

 
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   Support explicitly setting a dimension order with to_dataframe() 676696822
672084936 https://github.com/pydata/xarray/pull/4333#issuecomment-672084936 https://api.github.com/repos/pydata/xarray/issues/4333 MDEyOklzc3VlQ29tbWVudDY3MjA4NDkzNg== Thomas-Z 1492047 2020-08-11T16:49:19Z 2020-08-11T16:49:19Z CONTRIBUTOR

Do we want DataArray.to_dataframe to be consistent with Dataset.to_dataframe regarding the default dimension ordering (i.e. alphabetically) or do we want to keep the current behavior (DataArray.dims order)?

 
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   Support explicitly setting a dimension order with to_dataframe() 676696822
672030936 https://github.com/pydata/xarray/pull/4333#issuecomment-672030936 https://api.github.com/repos/pydata/xarray/issues/4333 MDEyOklzc3VlQ29tbWVudDY3MjAzMDkzNg== Thomas-Z 1492047 2020-08-11T15:51:02Z 2020-08-11T15:54:40Z CONTRIBUTOR

Hello,

I actually followed @shoyer suggestion to use to_dask_dataframe parameter name.

And I just realized I only did half the work. I'll add this parameter to DataArray.to_dataframe if you validate this name.

 
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   Support explicitly setting a dimension order with to_dataframe() 676696822

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