Niels Bantilan

I'm not quite clear on your use case here... would you mind elaborating on that and why you need strictly typed dataframes? Example tests/code that you're using would help. I...

Hi @borissmidt > Looking at the test it doesn't check for missing columns i'll try to spend some time today to make an sample to double check the problem. Yeah...

This need to be documented better, but you need to supply the `check_name=True` argument to `pa.Field` in order to preserve single-index schema metadata when converting `to_schema`. See example [here](https://pandera.readthedocs.io/en/stable/schema_models.html#aliases) The...

hi @jymchng, glad you're finding this useful! Just to clarify, you're expecting to see actual failure cases ("A", B", "D", etc) as you show in the SeriesSchema validation, but not...

This behavior is intentional, as the built-in checks already define this argument: https://github.com/pandera-dev/pandera/blob/master/pandera/checks.py#L747 Can you please explain your use case?

Hi @lcbm, are you using custom checks or built-in checks? For custom checks you can pass in a string to the [`error` argument](https://pandera.readthedocs.io/en/stable/reference/generated/pandera.checks.Check.html#pandera-checks-check). For built-in checks this is currently not...

hi @telferm57 yes I think for this issue the core test suite would be the main thing to run so you can just do `pytest tests/core` for now (for safety...

hi @benjaminbluhm this feature makes sense to have! The original assumption of the `checks` key in the yaml format was that, generally speaking, the built-in checks are unique, but it's...

Just added the "help wanted" tag here, let me know if you want to contribute to this feature! @benjaminbluhm

In the mean time, a workaround here would be to collapse the multiple checks into a single one. I generally don't recommend this, since the error reporting wouldn't be able...