NumPy

Which of the following is not true about  NumPy?

• It is a cross-platform module

• It stands for Number Python

• We need to install this module before using it

• None of the above

Which of the function is a function to create a numpy array?

• empty()

• array()

• ones()

• All the above

What is the output of the below code?

np.arange(2,8)

• array([2, 3, 4, 5, 6, 7])

• array([3, 4, 5, 6, 7])

• array([2, 3, 4, 5, 6, 7, 8])

• array([3, 4, 5, 6, 7, 8])

Find the output of the below code.

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

print(a.ndim)

• 1

• (1,3)

• 3

• 3,1

What does the function itemsize() return?

• It returns the size of the array

• It returns the number of elements in the array

• It returns the byte size of each element of the array

• None of the above

Find the output of the below code.

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

a[1,2]

• 6

• 5

• 2

• TypeError

What is the output of the below code?

np.linspace(1,5,5)

• array([1. , 2.33333333, 3.66666667, 5. ])

• array([1., 2., 3., 4., 5.])

• array([1. , 1.8, 2.6, 3.4, 4.2, 5. ])

• None of the above

Which of the following is code gives an error?

• a = np.array([(1,2,3),(4,5,6)]) a[(0,1)]

• a = np.array([(1,2,3),(4,5,6)]) a.reshape(2,4)

• a = np.array([(1,2,3),(4,5,6)]) a[np.arange(1), :]

• All the above

What is the output of the below code?

print(np.zeros(5).dtype)

• int8

• int16

• int32

• float64

Which of the following is not true about the identity matrix?

• It is a square matrix

• It contains 1s in all the diagonals

• We can create an identity matrix using the identity() function

• None of the above