': range(1, num_customers + 1), 'x': np.random.uniform(0, 100, num_customers), 'y': np.random.uniform...(0, 100, num_customers), 'demand': np.random.randint(1, 10, num_customers)}df = pd.DataFrame(data)...= len(df) distance_matrix = np.zeros((num_customers, num_customers)) for i in range(num_customers...), 'y': np.random.uniform(0, 100, num_customers), 'demand': np.random.randint(1, 10, num_customers...= len(df) distance_matrix = np.zeros((num_customers, num_customers)) for i in range(num_customers