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DataFrame Verification

API Optional[str] = None, cache: bool = True) -> bool
This method creates and runs test cases for the provided PySpark dataframe transformation function. The result is shown in the logging output. The mthod returns True if tranformation is valid, otherwise it returns False and logs errors.


Given a DataFrame auto_df from Data Ingestion:"expect sales change percentage to be between -100 to 100")

result: True