ExamAdept

How do you perform element-wise addition of a scalar value, 5, to a NumPy array arr?

A:

np.add_scalar(arr, 5)

B:

arr.add(5)

C:

arr + 5

D:

np.scalar_add(arr, 5)

Answer: C

The + operator can be used for element-wise addition of a scalar value to a NumPy array.

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What does the NumPy function numpy.eye(N, M=None, k=0) do?

A:

Creates an identity matrix with dimensions N x N.

B:

Generates a random matrix of size N x M.

C:

Reshapes an array to have dimensions N x M.

D:

Computes the eigenvalues of a matrix.

Answer: A

The numpy.eye() function creates an identity matrix with dimensions N x N.

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How do you perform element-wise multiplication of two NumPy arrays, arr1 and arr2?

A:

np.multiply(arr1, arr2)

B:

arr1 * arr2

C:

arr1.mul(arr2)

D:

np.product(arr1, arr2)

Answer: B

The * operator can be used for element-wise multiplication of two NumPy arrays.

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In NumPy, how do you find the indices of elements that satisfy a given condition in an array?

A:

np.index_of(arr, condition)

B:

np.where(condition, arr)

C:

np.find_indices(arr, condition)

D:

np.where(condition)

Answer: D

The np.where() function in NumPy returns the indices of elements that satisfy a given condition.

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What does the numpy.transpose() function do?

A:

Flips the array vertically.

B:

Swaps the axes of the array.

C:

Rotates the array 90 degrees.

D:

Converts the array to a transposed form.

Answer: B

The numpy.transpose() function swaps the axes of the array.

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Questions for: Arrays