Comments (5)
The PR description and approach is good! Basically we need to:
- Add the early return in the pandas API schema/schema components
- Add tests similar to the ones here in the pyspark tests.
- Update the docs, probably a new page dedicated to configuration (if you can write the content I can help with the structure and formatting)
from pandera.
I haven't made any PR to pandera
before, if this direction is correct I could try to make a PR, but I would like to get some feedback first. Please advise what tests are needed and potentially where should I add them.
from pandera.
Sounds good! I will try to finish it this week, if not I will be back in mid Oct.
from pandera.
I just have a quick look, does pandera have something like GitPod or Github Codespace for CDE development? If not I can also create a separate PR to add support for GitPod and maybe add this into the contribution guide as an alternative to build locally.
They have a open source program https://www.gitpod.io/discover/opensource
from pandera.
I think github codespace should just work out of the box, not sure how it installs the virtual environment tho
from pandera.
Related Issues (20)
- Partial MultiIndex check fails if only one index column is passed
- pandas.DataFrame.attrs missing after validation
- Default value assignment: Pandas 2.2.0 FutureWarning
- Add Schema name field to decorators._parse_schema_error msg
- Multi index dataframes with datetime level cannot drop invalid rows HOT 3
- DataFrameModel validation method return type annotation incorrect
- Datatype coercion fails to occur if DataFrame Model Config `coerce=True` defined in inherited Config class
- Add model_validate method to DataframeModel HOT 1
- [Bug] import pandera overrides the spark environment
- Index name defined in DataFrameModel is discarded when creating DataFrameSchema
- check_types decorator doesnt validate after inplace mutation with method
- `pyspark.DataFrameSchema` doesn't have data syntheis method(s) implemented HOT 1
- pandera 0.18.0 does not work with multimethod 1.11.0 (but with 1.10.0) HOT 2
- Type hints are not retained HOT 4
- Allow column-level `coerce` setting to override class-level `coerce`.
- `values` arg in `unique_values_eq` has incorrect type hint.
- strict=True is not very strict on the index
- Document pandera model with sphinx HOT 2
- TypeError("Subscripted generics cannot be used with class and instance checks") HOT 8
- Conversion from 1 pydantic dtype dataframe to another fails when strict = 'filter'
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