issue_comments: 471978276
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| html_url | issue_url | id | node_id | user | created_at | updated_at | author_association | body | reactions | performed_via_github_app | issue |
|---|---|---|---|---|---|---|---|---|---|---|---|
| https://github.com/pydata/xarray/issues/2805#issuecomment-471978276 | https://api.github.com/repos/pydata/xarray/issues/2805 | 471978276 | MDEyOklzc3VlQ29tbWVudDQ3MTk3ODI3Ng== | 23265127 | 2019-03-12T12:23:23Z | 2019-03-12T12:23:23Z | NONE | Hi shoyer, many thanks for your quick reply. Converting the xarray to a DataFrame indeed does the job and I will use this solution for the time being. Nevertheless, to me the approach seems rather like an ad-hoc solution since it requires a series of conversions / function calls and I feel like there should be some built-in solution from xarray. In particular, in the above solution, you lose track of what are the coordinates and what is the actual data (all is stored in a single NamedTuple), which requires an additional step to separate the two data structures. Anyway, thanks for your help! If you find another solution, please let me know! |
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