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How to use pyspark_pandas_eq method in pandera

Best Python code snippet using pandera_python

test_schemas_on_pyspark.py

Source:test_schemas_on_pyspark.py

...431    non_strict_schema(non_strict_df)432def test_custom_checks():433    """Test that custom checks can be executed."""434    @extensions.register_check_method(statistics=["value"])435    def pyspark_pandas_eq(pyspark_pandas_obj, *, value):436        return pyspark_pandas_obj == value437    custom_schema = pa.DataFrameSchema(438        {"field": pa.Column(checks=pa.Check(lambda s: s == 0, name="custom"))}439    )440    custom_registered_schema = pa.DataFrameSchema(441        {"field": pa.Column(checks=pa.Check.pyspark_pandas_eq(0))}442    )443    for schema in (custom_schema, custom_registered_schema):444        schema(ps.DataFrame({"field": [0] * 100}))445        try:446            schema(ps.DataFrame({"field": [-1] * 100}))447        except pa.errors.SchemaError as err:448            assert (err.failure_cases["failure_case"] == -1).all()449def test_schema_model():450    # pylint: disable=missing-class-docstring451    """452    Test that SchemaModel subclasses work on pyspark_pandas_eq dataframes.453    """454    # pylint: disable=too-few-public-methods455    class Schema(pa.SchemaModel):...

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