Which of the following statements is false?

a. The following code uses a list comprehension to create a list of 600 random die values, then uses NumPy’s unique function to determine the unique roll values (guaranteed to include all six possible face values) and their frequencies:
rolls = [random.randrange(1, 7) for i in range(600)]
values, frequencies = np.unique(rolls, return_counts=True)
b. The NumPy library provides the high-performance ndarray collection, which is typically much faster than lists.
c. If you pass a list (like rolls) into np.unique, NumPy converts it to an ndarray for better performance.
d. Specifying the keyword argument return_counts=True tells unique to count each unique value’s number of occurrences.

a. The following code uses a list comprehension to create a list of 600 random die values, then uses NumPy’s unique function to determine the unique roll values (guaranteed to include all six possible face values) and their frequencies:
rolls = [random.randrange(1, 7) for i in range(600)]
values, frequencies = np.unique(rolls, return_counts=True)