ExamAdept

Given two NumPy arrays arr1 and arr2, what does np.column_stack((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: B

The np.column_stack() function stacks the arrays horizontally.

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How can you reshape a NumPy array arr into a 2x3 matrix?

A:

arr.reshape(2, 3)

B:

arr.resize(2, 3)

C:

np.reshape(arr, (2, 3))

D:

np.resize(arr, (2, 3))

Answer: A

The arr.reshape(2, 3) method reshapes the array into a 2x3 matrix.

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What does the NumPy function numpy.concatenate((arr1, arr2), axis=0) do?

A:

Joins the arrays along the specified axis.

B:

Adds the arrays element-wise.

C:

Multiplies the arrays element-wise.

D:

Computes the cross product of the arrays.

Answer: A

The numpy.concatenate() function joins the arrays along the specified axis.

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How do you check if all elements in a NumPy array arr are non-zero?

A:

np.check_nonzero(arr)

B:

np.nonzero(arr)

C:

np.all_nonzero(arr)

D:

np.all(arr != 0)

Answer: D

The code np.all(arr != 0) checks if all elements in the array are non-zero.

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Given a NumPy array arr = np.array([3, 1, 4, 1, 5, 9]), what does the code arr[::-1] do?

A:

Reverses the order of elements in the array.

B:

Selects only the even-indexed elements.

C:

Creates a new array with the same elements.

D:

Removes the last element from the array.

Answer: A

The code arr[::-1] reverses the order of elements in the array.

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Questions for: Arrays