Comments (1)
fixed by #54
from pandera.
Related Issues (20)
- Custom check fails with `pl.DataFrame` HOT 3
- Custom check erroneously passes when validating `pl.LazyFrame` HOT 8
- Remove dependencies on `wrapt`, `packaging`, and potentially `multimethod`
- Make `pydantic` and `typeguard` extras for pandas generic type support
- Is there a way to get a `DataFrameModel` from existing `pandas.DataFrame`? HOT 2
- Hypothesis examples are all the same HOT 7
- Parametrized type annotations are broken for polars DataFrameModels HOT 1
- Piping pandas with pandera schema doesn't raise SchemaError ( python 3.11.9 ) HOT 1
- Lazy schema validation does not raise expected errors with polars dataframes HOT 3
- Update branch name mentioned within bug report template HOT 1
- Custom DTypes With Polars HOT 3
- Error Importing Pandera with Polars extra HOT 2
- Add a polars `Series` type HOT 10
- Allow check type HOT 1
- How to load schema from pyspark struct or avro format from schema registry ? HOT 1
- How to correctly install a release v0.19.0b3 HOT 2
- Support Series generation with serial dependence HOT 1
- Incorrect validation passes pandera=0.19.0b3 HOT 1
- failure_case conversion failed : polars.exceptions.ComputeError - pandera(0.19.0b3) with polars HOT 5
- Incorrect Pandera Polars DataFrameModel Type Coercion Logic HOT 5
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from pandera.