Niels Bantilan

Hi @Nandha95 this feature is still in consideration, but work on it hasn't been prioritized. You can get the same effect by using wide checks: https://pandera.readthedocs.io/en/stable/checks.html#wide-checks

So the problem here is stated by @jeffzi https://github.com/unionai-oss/pandera/issues/726#issuecomment-1008951497: On Windows: ```python print(np.dtype(int)) #> int32 print(pd.Series([1]).dtype) # implicit dtype #> int64 print(pd.Series([1], dtype=int).dtype) # explicit dtype #> int32 ``` It...

hi @christopher-hacker this is ready to be worked on, no one is currently owning this. Would you be interested in making a contribution?

hey @the-matt-morris the basic implementation would be a first good step! (i.e. support for primitive/scalar data types) This related to #260, support for things like `pyarrow.list_(pyarrow.float64())` would be blocked by...

> thinking would be a DataFrameSchema method that returns the pyarrow schema I'd consider this part of the `pandera[io]` extra, with the additional `pyarrow` library dependency. My recommendation would be...

hi @louis-vines all current PRs are being blocked by https://github.com/unionai-oss/pandera/pull/913, which involves a signifant re-write of the pandera internals. Once that's merged (hopefully within the next 2 weeks) we'll circle...

Contributions welcome 🤗

Thanks @NickCrews, and no worries about the delay! Looks like the test `tests/core/test_schemas.py::test_dataframe_reset_column_name` needs to be modified, I don't think a warning is raised anymore. Also, working on some CI...

We can close this when the following are done: - https://github.com/flyteorg/flyte/issues/3270 - https://github.com/flyteorg/flyte/issues/3354

All PRs are in, closing this task. Thanks again for this awesome contribution @bstadlbauer ! 🚀