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938409463 https://github.com/pydata/xarray/issues/1900#issuecomment-938409463 https://api.github.com/repos/pydata/xarray/issues/1900 IC_kwDOAMm_X8437v33 shoyer 1217238 2021-10-08T07:25:44Z 2021-10-08T07:25:44Z MEMBER

Pandera provides machine-readable schemas for Pandas and, as of version 0.7, panderas has decoupled pandera and pandas types 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!

 
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   Representing & checking Dataset schemas  295959111
364602759 https://github.com/pydata/xarray/issues/1900#issuecomment-364602759 https://api.github.com/repos/pydata/xarray/issues/1900 MDEyOklzc3VlQ29tbWVudDM2NDYwMjc1OQ== shoyer 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.

 
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   Representing & checking Dataset schemas  295959111
364532198 https://github.com/pydata/xarray/issues/1900#issuecomment-364532198 https://api.github.com/repos/pydata/xarray/issues/1900 MDEyOklzc3VlQ29tbWVudDM2NDUzMjE5OA== shoyer 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 

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   Representing & checking Dataset schemas  295959111

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