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/4470#issuecomment-719464990,https://api.github.com/repos/pydata/xarray/issues/4470,719464990,MDEyOklzc3VlQ29tbWVudDcxOTQ2NDk5MA==,4160723,2020-10-30T10:13:35Z,2020-10-30T10:13:35Z,MEMBER,"> if downstream packages or accessor implementers know how to do something useful with these extra coordinates, they are free to do so! The data are there...xarray just doesn't currently make much use of them.

FWIW, we are working on the https://github.com/ESM-VFC/xoak package to easily index and select unstructured data in xarray datasets. This [works well](https://nbviewer.jupyter.org/github/ESM-VFC/xoak/blob/master/examples/basic_examples.ipynb) with multi-dimensional coordinates and xarray's advanced indexing features. Support for custom indexes and chunked (dask) coordinates is coming up too!","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,710357592