ExamAdept

Given two NumPy arrays arr1 = np.array([1, 2, 3]) and arr2 = np.array([4, 5, 6]), what does np.dot(arr1, arr2) return?

A:

64

B:

[4, 10, 18]

C:

[1, 2, 3, 4, 5, 6]

D:

32

Answer: D

The np.dot() function calculates the dot product of two arrays.

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How can you find the mean of a NumPy array arr?

A:

np.mean(arr)

B:

arr.calculate_mean()

C:

np.average(arr)

D:

arr.mean()

Answer: A

The np.mean() function calculates the mean of the array.

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What does the NumPy function numpy.arange(1, 10, 2) return?

A:

[1, 3, 5, 7, 9]

B:

[1, 2, 3, 4, 5, 6, 7, 8, 9]

C:

[2, 4, 6, 8]

D:

[1, 4, 7, 10]

Answer: A

The numpy.arange() function creates an array with values from start (inclusive) to stop (exclusive) with the specified step.

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How can you calculate the sum of all elements in a NumPy array arr?

A:

arr.sum()

B:

np.add(arr)

C:

np.sum(arr)

D:

arr.calculate_sum()

Answer: C

The np.sum() function calculates the sum of all elements in the array.

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What is the purpose of the NumPy function numpy.vstack((arr1, arr2))?

A:

Stacks the arrays vertically.

B:

Stacks the arrays horizontally.

C:

Creates a new array by vertically concatenating the arrays.

D:

Creates a new array by horizontally concatenating the arrays.

Answer: A

The numpy.vstack() function stacks the arrays vertically.

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Questions for: Arrays