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How to use test_lazy_dataframe_validation_with_checks method in pandera

Best Python code snippet using pandera_python

test_schemas.py

Source:test_schemas.py

...998                    lambda df: df.column == col, "index"999                ].iloc[0]1000                == index1001            )1002def test_lazy_dataframe_validation_with_checks() -> None:1003    """Test that all failure cases are reported for schemas with checks."""1004    schema = DataFrameSchema(1005        columns={1006            "analysis_path": Column(String),1007            "run_id": Column(String),1008            "sample_type": Column(String, Check.isin(["DNA", "RNA"])),1009            "sample_valid": Column(String, Check.isin(["Yes", "No"])),1010        },1011        strict=False,1012        coerce=True,1013    )1014    df = pd.DataFrame.from_dict(1015        {1016            "analysis_path": ["/", "/", "/", "/", "/"],...

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