from sklearn.preprocessing import MinMaxScaler

def process_structured_data(df, train, test):
    """
    Pre-processes the given dataframe by minmaxscaling the continuous features
    (fit-transforming the training data and transforming the test data)
    """
    continuous = ["population_per_hectare", "bicycle_aadf", "motor_vehicle_aadf"]
    cs = MinMaxScaler()
    trainX = cs.fit_transform(train[continuous])
    testX = cs.transform(test[continuous])
    return (trainX, testX)