Niels Bantilan

thanks for adding your input here @ipear3, there's this issue that tracks a couple of enhancements, including refactoring the `groupby` behavior: https://github.com/unionai-oss/pandera/issues/488

> I'm working on a PR to replace the dict: Dataframe | Series signature with DataFrame | Series Hey @ipear3 just FYI, I'm working on a major overhaul of pandera's...

- https://github.com/pandera-dev/pandera/blob/master/pandera/schemas.py#L110-L115

cool, thanks! we can leave `pa.DateTime` and `pa.Category` as-is for now.

thanks for submitting this feature request @ClaireGouze! I think this use case should be supported, and here are a few a potential solutions: 1. add an `allow_empty` property to the...

> I think an argument allow_empty should still validate types. 👍

I think the `allow_empty` option at the schema-level and `optional` option for object-based API `check_*` decorators makes sense. For the latter, I'm thinking something like this: ```python import pandas as...

going to work on this after `0.6.0` release, should be out by next week

Thanks for pointing this out @probberechts! The relevant part of the code is here: https://github.com/pandera-dev/pandera/blob/master/pandera/engines/pandas_engine.py#L211-L215 I think something like this will defer to the pandas default dtype for a particular...

hi @TheDataScientistNL at a high level this makes sense! To make things more concrete, would you be able to provide a toy dataset, and perhaps the checks you want to...