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Numpy Fundamentals Creation of Array 2

Question 1

What does the np.zeros((3, 3)) function do?

Creates an array with 3 rows and 3 columns filled with zeros.

Creates an array with shape (3, 3) filled with ones.

Creates an array with 3 elements, each initialized to zero.

None of the above.

Question 2

Which function is used to create an array with evenly spaced values within a given interval?

np.arange()

np.linspace()

np.logspace()

np.geomspace()

Question 3

Which of the following is NOT a correct way to create a Numpy array?

np.array([1, 2, 3])

np.arange(10)

np.zeros(3, 3)

np.ones((2, 2))

Question 4

Which function can be used to stack arrays vertically?

np.vstack()

np.stack()

np.concatenate(axis=0)

All of the above.

Question 5

How can you create a 3x3 array filled with random values between 0 and 1?

np.random.rand(3, 3)

np.random.randn(3, 3)

np.random.random((3, 3))

All of the above.

Question 6

What is the result of the following operation: np.array([1, 2, 3]) + np.array([4, 5, 6])?

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

np.array([5, 7, 9])

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

None of the above.

Question 7

Which function can be used to reshape an existing array into a different shape?

np.reshape(arr, new_shape)

arr.reshape(new_shape)

Both A and B

None of the above

Question 8

What does the function np.full((2, 2), 7) do?

Creates a 2x2 array filled with the value 7.

Creates a 2x2 array filled with zeros.

Creates a 2x2 array filled with ones.

None of the above.

Question 9

Which function is used to create an identity matrix in NumPy?

np.identity(3)

np.eye(3)

np.zeros((3, 3))

np.ones((3, 3))

Question 10

What does the function np.linspace(0, 10, 5) do?

Creates an array with 5 equally spaced values from 0 to 10, inclusive.

Creates an array with 5 equally spaced values from 0 to 10, exclusive.

Creates an array with values [0, 2.5, 5, 7.5, 10].

None of the above.

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