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You can read more about the integration here. Not all pandera features are supported at this point, but depending on community demand/contributions we'll slowly add them. To learn more about what's currently supported, check out this table.
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✨ Highlights ✨
📣 Pandera now supports validation of
polars.DataFrame
andpolars.LazyFrame
🐻❄️!You can now do this:
And of course you can do functional validation with decorators like so:
You can read more about the integration here. Not all pandera features are supported at this point, but depending on community demand/contributions we'll slowly add them. To learn more about what's currently supported, check out this table.
Special shoutout to @AndriiG13 and @FilipAisot for their contributions on the built-in checks and polars datatypes, respectively, and to @evanrasmussen9, @baldwinj30, @obiii, @Filimoa, @philiporlando, @r-bar, @alkment, @jjfantini, and @robertdj for their early feedback and bug reports during the 0.19.0 beta.
What's Changed
check_nullable
does not uselessly computeisna()
anymore in pandas backend by @smarie incheck_nullable
does not uselessly computeisna()
anymore in pandas backend #1538New Contributors
check_nullable
does not uselessly computeisna()
anymore in pandas backend #1538Full Changelog: v0.18.3...v0.19.0
This discussion was created from the release Release 0.19.0: Polars validation support.
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