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Numpy Fundamentals Creation of Array

Question 1

Which function is used to create a diagonal array from a given array?

np.diag()

np.diagonal()

np.create_diag().

np.make_diagonal().

Question 2

Which of the following methods can be used to create an array of zeros in numpy?

np.zeros()

np.empty()

np.ones()

All of the above

Question 3

What does np.empty((2, 2)) create?

An array filled with zeros.

An array filled with random values.

An uninitialized array.

An array filled with ones.

Question 4

What is the function used to create a numpy array form a python list?

np.array()

np.ndarray()

np.create_array()

np.make_array()

Question 5

What is the function used to create an array of evenly spaced values over a specified range?

np.linspace()

np.arange()

np.logspace()

np.zeros_like()

Question 6

Which of the following methods can be used to create an identity matrix in numpy?

np.eye()

np.identity()

np.ones()

np.zeros()

Question 7

What does the function np.arange(5) return?

An array containing elements from 0 to4.

An array containing elements from 1 to 5

An empty array.

An array containing only the element 5.

Question 8

What does np.full((3, 3), 7) do?

Creates a 3x3 array filled with 7s.

Creates a 3x3 array filled with zeros.

Creates a 7x7 array filled with 3s.

Creates a 7x7 array filled with 7s.

Question 9

Which of the following methods creates a copy of the array in memory?

np.copy()

arr.copy()

np.clone()

Both a) and b)

Question 10

Which of the following methods creates an array filled with random values?

np.random.rand().

np.random.random().

np.random.randint().

All of the above.

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