Add support for `PANDERA_VALIDATION_ENABLED` for pandas

[Nok Lam Chan]

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In 0.16.0, PANDERA_VALIDATION_ENABLED was added to disable runtime check. I want to apply the flag to pandas DataFrame as well.

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The decorator style of validation is convenient but there are no way to turn it off easily and it introduces runtime cost. The feature already exist for PySpark, and I want it for pandas DataFrame as well.

Currently, only PySpark is respecting this configuration:

pandera/pandera/api/pyspark/container.py

Lines 327 to 339 in 5a15cb1

 if not CONFIG.validation_enabled: 
     return 
 error_handler = ErrorHandler(lazy) 
  
 return self._validate( 
     check_obj=check_obj, 
     head=head, 
     tail=tail, 
     sample=sample, 
     random_state=random_state, 
     lazy=lazy, 
     inplace=inplace, 
     error_handler=error_handler, 

Potentially, the logic can be added for pandas

pandera/pandera/api/pandas/container.py

Lines 284 to 286 in 5a15cb1

 def validate( 
     self, 
     check_obj: pd.DataFrame, 

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[Nok Lam Chan]

I haven't made any PR to pandera before, if this direction is correct I could try to make a PR, but I would like to get some feedback first. Please advise what tests are needed and potentially where should I add them.

[Niels Bantilan]

The PR description and approach is good! Basically we need to:

1. Add the early return in the pandas API schema/schema components
2. Add tests similar to the ones here in the pyspark tests.
3. Update the docs, probably a new page dedicated to configuration (if you can write the content I can help with the structure and formatting)

[Nok Lam Chan]

Sounds good! I will try to finish it this week, if not I will be back in mid Oct.

[Nok Lam Chan]

I just have a quick look, does pandera have something like GitPod or Github Codespace for CDE development? If not I can also create a separate PR to add support for GitPod and maybe add this into the contribution guide as an alternative to build locally.

They have a open source program https://www.gitpod.io/discover/opensource

[Niels Bantilan]

I think github codespace should just work out of the box, not sure how it installs the virtual environment tho