Unable create custom `builtin` check
I am trying to register a builtin check in pandera, but I’m not exactly sure how it’s supposed to be implemented.
validating pandas DataFrame with pandera where a filtered series which may or may not have values fails
I have the below example DataFrame
pandera.errors.BackendNotFoundError with Pandas Dataframe
pandera: 0.18.3 pandas: 2.2.2 python: 3.9/3.11 Hi, I am unable to setup the pandera for pandas dataframe as it complains: File “/anaconda/envs/data_quality_env/lib/python3.9/site-packages/pandera/api/base/schema.py”, line 96, in get_backend raise BackendNotFoundError( pandera.errors.BackendNotFoundError: Backend not found for backend, class: (<class ‘data_validation.schemas.case.CaseSchema’>, <class ‘pandas.core.frame.DataFrame’>). Looked up the following base classes: (<class ‘pandas.core.frame.DataFrame’>, <class ‘pandas.core.generic.NDFrame’>, <class ‘pandas.core.base.PandasObject’>, <class ‘pandas.core.accessor.DirNamesMixin’>, <class ‘pandas.core.indexing.IndexingMixin’>, […]