ExamAdept

What does the NumPy function numpy.zeros((2, 3)) return?

A:

2x3 array with all elements initialized to zero.

B:

3x2 array with all elements initialized to zero.

C:

2x2 identity matrix.

D:

3x3 array with all elements initialized to one.

Answer: A

The numpy.zeros() function creates an array filled with zeros of the specified shape.

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What does the expression np.eye(4, k=1) generate?

A:

4x4 identity matrix with ones below the main diagonal.

B:

4x4 identity matrix with ones above the main diagonal.

C:

4x4 identity matrix with ones on the main diagonal.

D:

4x4 identity matrix with zeros below the main diagonal.

Answer: B

The np.eye() function generates an identity matrix with ones on the main diagonal, and the k parameter shifts the diagonal.

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How can you concatenate two NumPy arrays arr1 and arr2 along the second axis?

A:

np.concatenate((arr1, arr2), axis=1)

B:

np.concat(arr1, arr2, axis=1)

C:

np.merge(arr1, arr2, axis=1)

D:

np.append(arr1, arr2, axis=1)

Answer: A

The np.concatenate() function can be used to concatenate arrays along a specified axis.

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What does the NumPy function numpy.linspace(1, 10, 5) return?

A:

[1, 3, 5, 7, 10]

B:

[1, 2, 3, 4, 5, 6, 7, 8, 9, 10]

C:

[1.0, 3.25, 5.5, 7.75, 10.0]

D:

[1, 2.25, 3.5, 4.75, 6]

Answer: C

The numpy.linspace() function generates evenly spaced numbers over a specified range.

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Given a NumPy array arr = np.array([[1, 2], [3, 4], [5, 6]]), what does arr.flatten(order='F') do?

A:

Flattens the array in C-style order (row-wise).

B:

Flattens the array in Fortran-style order (column-wise).

C:

Creates a new array by transposing the original array.

D:

Reshapes the array to have a single row.

Answer: B

The flatten() function with order='F' flattens the array in Fortran-style order.

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Questions for: Arrays