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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/3709#issuecomment-962121849 https://api.github.com/repos/pydata/xarray/issues/3709 962121849 IC_kwDOAMm_X845WNB5 42288570 2021-11-05T18:28:30Z 2021-11-05T18:28:58Z NONE

Just for completeness. You can find @philippjfr PyData 2021 .interactive talk here https://pydata.org/global2021/schedule/presentation/51/build-polished-data-driven-applications-directly-from-your-pandas-or-xarray-pipelines/. Quite powerful.

Inspired by that I've created a gist here https://gist.github.com/MarcSkovMadsen/e666503df2aa1d8d047dcb9555b5da6d. It's for a pandas DataFrame. But the principle is the same for xarray.

https://user-images.githubusercontent.com/42288570/140560629-818083cc-838a-41f4-8908-7a66791d8ce6.mp4

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