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-938409463,https://api.github.com/repos/pydata/xarray/issues/1900,938409463,IC_kwDOAMm_X8437v33,1217238,2021-10-08T07:25:44Z,2021-10-08T07:25:44Z,MEMBER,"> [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.

Awesome -- would love to hear how this goes!","{""total_count"": 1, ""+1"": 1, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,295959111
https://github.com/pydata/xarray/issues/1900#issuecomment-364602759,https://api.github.com/repos/pydata/xarray/issues/1900,364602759,MDEyOklzc3VlQ29tbWVudDM2NDYwMjc1OQ==,1217238,2018-02-09T23:53:49Z,2018-02-09T23:53:49Z,MEMBER,"`ncdump -h` (`xarray.Dataset.info()`) is one existing schema of sorts, but it's hardly machine readable.","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,295959111
https://github.com/pydata/xarray/issues/1900#issuecomment-364532198,https://api.github.com/repos/pydata/xarray/issues/1900,364532198,MDEyOklzc3VlQ29tbWVudDM2NDUzMjE5OA==,1217238,2018-02-09T19:16:26Z,2018-02-09T19:16:26Z,MEMBER,"I think the right word for this may be ""schema"". For applications and models (rather than data analysis), these sort of conventions can be super-valuable. I like the idea of declarative spec that can be validated.

Just googling around, I came up with pandas-validator: https://github.com/c-data/pandas-validator ","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,295959111