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/1900#issuecomment-938691112,https://api.github.com/repos/pydata/xarray/issues/1900,938691112,IC_kwDOAMm_X84380oo,460756,2021-10-08T14:32:44Z,2021-10-08T14:35:46Z,NONE,"OK, I think `pandera` isn't the way forwards because it appears very tighly coupled to Pandas (so, for example, I don't think it's possible to use `pandera` with n-dimensional arrays).

But Pydantic looks promising.  [Here's a very quick coding experiment](https://github.com/openclimatefix/nowcasting_dataset/blob/jack/pydantic/notebooks/pydantic_xarray.ipynb) showing one way to use pydantic with xarray... it validates a few things; but it's not super-useful as a human-readable specification for what's going on inside a DataArray or Dataset.","{""total_count"": 2, ""+1"": 1, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 1}",,295959111
https://github.com/pydata/xarray/issues/1900#issuecomment-938397801,https://api.github.com/repos/pydata/xarray/issues/1900,938397801,IC_kwDOAMm_X8437tBp,460756,2021-10-08T07:04:51Z,2021-10-08T07:04:51Z,NONE,"I'm really interested in a machine-readable schema for xarray!

[Pandera](https://pandera.readthedocs.io) provides machine-readable schemas for Pandas and, as of version 0.7, [panderas has decoupled pandera and pandas types](https://github.com/pandera-dev/pandera/pull/559) to make pandera more useful for things like xarray.  I haven't tried `pandera` yet but I plan to do some experiments soon.","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,295959111