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How to use test_dataframe_schema_strict_regex method in pandera

Best Python code snippet using pandera_python

test_schemas.py

Source:test_schemas.py

...131    with pytest.raises(errors.SchemaError):132        schema.validate(df.loc[:, ["a"]])133    with pytest.raises(errors.SchemaError):134        schema.validate(df.loc[:, ["a", "c"]])135def test_dataframe_schema_strict_regex() -> None:136    """Test that strict dataframe schema checks for regex matches."""137    schema = DataFrameSchema(138        {"foo_*": Column(int, regex=True)},139        strict=True,140    )141    df = pd.DataFrame({f"foo_{i}": range(10) for i in range(5)})142    assert isinstance(schema.validate(df), pd.DataFrame)143    # Raise a SchemaError if schema is strict and a regex pattern yields144    # no matches145    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():...

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