ExamAdept

Given a NumPy array arr = np.array([3, 1, 4, 1, 5, 9]), what does np.sort(arr) return?

A:

[1, 1, 3, 4, 5, 9]

B:

[9, 5, 4, 3, 1, 1]

C:

[1, 3, 1, 4, 5, 9]

D:

[1, 1, 4, 3, 5, 9]

Answer: A

The np.sort() function returns a sorted version of the array.

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How can you find the index of the minimum value in a NumPy array arr?

A:

np.argmin(arr)

B:

arr.index(min(arr))

C:

np.minimum_index(arr)

D:

arr.min_index()

Answer: A

The np.argmin() function returns the index of the minimum value in the array.

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What does the NumPy function numpy.random.rand(2, 3) do?

A:

Creates a 2x3 array with all elements initialized to zero.

B:

Generates a random array with values between 0 and 1.

C:

Reshapes an existing array to have dimensions 2x3.

D:

Computes the square root of each element in the array.

Answer: B

The numpy.random.rand() function generates a random array with values between 0 and 1.

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How can you calculate the element-wise product of two NumPy arrays arr1 and arr2?

A:

np.multiply(arr1, arr2)

B:

arr1 * arr2

C:

np.prod(arr1, arr2)

D:

np.product(arr1, arr2)

Answer: B

The element-wise product can be calculated using the multiplication operator *.

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What is the output of the code np.arange(2, 10, 2)?

A:

[2, 4, 6, 8]

B:

[2, 4, 8]

C:

[2, 6]

D:

[2, 4, 8, 10]

Answer: A

The code generates an array with values from 2 to 10 (exclusive) with a step of 2.

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Questions for: Arrays