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How to use test_dataframe_dtype_coerce method in pandera

Best Python code snippet using pandera_python

test_schemas.py

Source:test_schemas.py

...145    with pytest.raises(errors.SchemaError):146        schema.validate(147            pd.DataFrame({f"bar_{i}": range(10) for i in range(5)})148        )149def test_dataframe_dtype_coerce():150    """151    Test that pandas dtype specified at the dataframe level overrides152    column data types.153    """154    schema = DataFrameSchema(155        columns={f"column_{i}": Column(float) for i in range(5)},156        dtype=int,157        coerce=True,158    )159    df = pd.DataFrame(160        {f"column_{i}": range(10) for i in range(5)}, dtype=float161    )162    int_alias = str(Engine.dtype(int))163    assert (schema(df).dtypes == int_alias).all()...

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