ExamAdept

Given two NumPy arrays arr1 and arr2, what does np.vstack((arr1, arr2)) do?

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 np.vstack() function stacks the arrays vertically.

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

A:

np.mean(arr, axis=1)

B:

np.average(arr, axis=0)

C:

arr.calculate_mean(axis=1)

D:

arr.mean(axis=0)

Answer: A

The np.mean() function can compute the mean along a specified axis.

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What does the NumPy function numpy.eye(3) do?

A:

Creates a 3x3 array with random values.

B:

Generates an identity matrix of size 3x3.

C:

Computes the eigenvalues of a 3x3 matrix.

D:

Reshapes an existing array to have dimensions 3x3.

Answer: B

The numpy.eye() function generates an identity matrix of the specified size.

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What is the purpose of the NumPy function numpy.argmax(arr)?

A:

Finds the minimum value in the array.

B:

Returns the index of the maximum value in the array.

C:

Computes the average value of the array.

D:

Reshapes the array to have a specified number of dimensions.

Answer: B

The numpy.argmax() function returns the index of the maximum value in the array.

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Given a NumPy array arr = np.array([2, 4, 6, 8, 10]), how do you extract elements at even indices?

A:

arr[::2]

B:

arr[1::2]

C:

arr[1:][::2]

D:

arr[1::]

Answer: A

The code arr[::2] extracts elements at even indices from the array.

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Questions for: Arrays