Niels Bantilan

hi @JoyMonteiro this functionality won't be available for another few releases... supporting parsing is something I want to design carefully, the code sketches above are likely not going to be...

# Pandera Parsing As referenced in #542, imo pydantic's `validator` decorator is a bit of a misnomer, as what it's doing is (i) _parsing_ raw data values and (ii) emitting...

cool, thanks for your feedback @jeffzi, I think it makes sense to distinguish between pre-processing and post-processing. re: naming, I think `parse` is a perfectly suitable name for converting data...

hey @juliuscrn thanks for your input! Just FYI I won't be able to get to this task for some time, and will require some design work to figure out the...

@riosatbms this is currently possible with lazy validation, see [here](https://pandera.readthedocs.io/en/stable/lazy_validation.html) The `pa.errors.SchemaErrors` object has a `failure_cases` attribute, which itself is a dataframe containing two columns, `index` and `column`, which indicates...

To validate data using `pa.SchemaModel` subclasses, you need to use `check_types` instead of `check_io`

can you provide a minimally reproducible (copy-pasteable) example with toy data?

built-in checks have a default `error` argument, which is just a string to identify the check when a SchemaError occurs. If this is set to `None` then the pandera error...

> I can add support for a Date logical type to extend the coverage of pyarrow types. Yes, that would be awesome! @andycarter85 does using the `object` type work for...

@andycarter85 how are you using `infer_schema` in your workflow?