ExamAdept

How do you initialize an array with five zeros using the array module?

A:

arr = array(5, 0)

B:

arr = array.zeros(5)

C:

arr = array([0, 0, 0, 0, 0])

D:

arr = array.array('i', [0, 0, 0, 0, 0])

Answer: D

The correct way to initialize an array with five zeros using the array module is array.array('i', [0, 0, 0, 0, 0]).

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What is the purpose of the numpy.flatten() method?

A:

Reshapes the array.

B:

Converts the array to a list.

C:

Computes the sum of the array elements.

D:

Retrieves the maximum value in the array.

Answer: B

The numpy.flatten() method flattens the array, converting it to a one-dimensional list.

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

A:

arr1.add(arr2)

B:

np.add(arr1, arr2)

C:

arr1 + arr2

D:

np.sum(arr1, arr2)

Answer: C

The + operator can be used for element-wise addition of two NumPy arrays.

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What is the purpose of the numpy.shape attribute in a NumPy array?

A:

Retrieves the length of the array.

B:

Returns the number of dimensions in the array.

C:

Reshapes the array.

D:

Converts the array to a list.

Answer: B

The numpy.shape attribute returns a tuple representing the dimensions of the NumPy array.

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How do you create a 2D NumPy array?

A:

np.array([[1, 2, 3], [4, 5, 6]])

B:

numpy.create_2d_array([[1, 2, 3], [4, 5, 6]])

C:

array.create([[1, 2, 3], [4, 5, 6]])

D:

np.array([1, 2, 3], [4, 5, 6])

Answer: A

The correct syntax to create a 2D NumPy array is np.array([[1, 2, 3], [4, 5, 6]]).

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Questions for: Arrays