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How to use test_column_regex_strict method in pandera

Best Python code snippet using pandera_python

test_schema_components.py

Source:test_schema_components.py

...435    )436    column_schema = Column(name=column_name_regex, regex=True)437    matched_columns = column_schema.get_regex_columns(columns)438    assert expected_matches == matched_columns.tolist()439def test_column_regex_strict() -> None:440    """Test that Column regex patterns correctly parsed in DataFrameSchema."""441    data = pd.DataFrame(442        {443            "foo_1": [1, 2, 3],444            "foo_2": [1, 2, 3],445            "foo_3": [1, 2, 3],446        }447    )448    schema = DataFrameSchema(449        columns={"foo_*": Column(Int, regex=True)}, strict=True450    )451    assert isinstance(schema.validate(data), pd.DataFrame)452    # adding an extra column in the dataframe should cause error453    data = data.assign(bar=[1, 2, 3])...

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