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How to use test_lazy_dataframe_validation_error method in pandera

Best Python code snippet using pandera_python

test_schemas.py

Source:test_schemas.py

...846    assert all(x in select_columns for x in schema_selected.columns)847    assert all(x in original_columns for x in schema.columns)848    with pytest.raises(errors.SchemaInitError):849        schema.select_columns(["foo", "bar"])850def test_lazy_dataframe_validation_error() -> None:851    """Test exceptions on lazy dataframe validation."""852    schema = DataFrameSchema(853        columns={854            "int_col": Column(int, Check.greater_than(5)),855            "int_col2": Column(int),856            "float_col": Column(float, Check.less_than(0)),857            "str_col": Column(str, Check.isin(["foo", "bar"])),858            "not_in_dataframe": Column(int),859        },860        checks=Check(861            lambda df: df != 1, error="dataframe_not_equal_1", ignore_na=False862        ),863        index=Index(str, name="str_index"),864        strict=True,...

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