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])...

Automation Testing Tutorials

Learn to execute automation testing from scratch with LambdaTest Learning Hub. Right from setting up the prerequisites to run your first automation test, to following best practices and diving deeper into advanced test scenarios. LambdaTest Learning Hubs compile a list of step-by-step guides to help you be proficient with different test automation frameworks i.e. Selenium, Cypress, TestNG etc.