ExamAdept

What is the purpose of the NumPy function numpy.flip(arr, axis=1)?

A:

Flips the array vertically.

B:

Flips the array horizontally.

C:

Flips the array along both axes.

D:

Transposes the array.

Answer: B

The numpy.flip() function flips the array horizontally along the specified axis.

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Given a NumPy array arr = np.array([[1, 2, 3], [4, 5, 6]]), how can you access the element 5?

A:

arr[1, 2]

B:

arr[1, 1]

C:

arr[0, 2]

D:

arr[1, 0]

Answer: B

The indexing starts from 0, so arr[1, 2] refers to the element in the second row and second column.

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How can you find the maximum value along a specific axis in a NumPy array arr?

A:

np.max(arr)

B:

arr.maximum(axis=0)

C:

np.maximum(arr, axis=0)

D:

np.max(arr, axis=0)

Answer: D

The np.max() function can be used with the axis parameter to find the maximum value along a specific axis.

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What does the NumPy function numpy.random.randint(1, 100, size=(3, 3)) do?

A:

Generates a random integer between 1 and 100.

B:

Creates a 3x3 array with random integers between 1 and 100.

C:

Reshapes an existing array to have dimensions 3x3.

D:

Computes the mean of random integers between 1 and 100.

Answer: B

The numpy.random.randint() function creates a random integer array of the specified size.

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What is the purpose of the NumPy function numpy.identity(3)?

A:

Creates a 3x3 array with all elements initialized to zero.

B:

Generates the identity matrix of order 3.

C:

Reshapes an existing array to have dimensions 3x3.

D:

Computes the inverse of a 3x3 matrix.

Answer: B

The numpy.identity() function creates the identity matrix of the specified order.

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Questions for: Arrays