Numpy

What is a correct syntax to check the number of dimensions in an array?

• arr.ndim()

• arr.dim

• arr.dim()  

• arr.ndim

How to create an array of 5 elements, all of which are 0/1 in Numpy

• np.zeros(5) / np.ones(5)

• np.array([0,0,0,0,0] )/ np.array([1,1,1,1,1])

• np.arange(0)/np.arange(1)

Only one of the following statements is true when it comes to Copies in NumPy, which one?

• The copy SHOULD be affected by the changes made to the original array.

• The copy SHOULD NOT be affected by the changes made to the original array.

Which syntax would print the array as in reverse order:

arr = np.array([1,2,3,4,5,6,7])

• print(arr[3:])

• print(arr[0:7])

• print(arr[::-1])

• print(arr[:-1:])

Which of the following arrays is a two dimensional (2-D) array?

• 42

• [[1, 2, 3], [4, 5, 6]]

• [1, 2, 3, 4, 5]

What is a correct syntax to subtract the numbers from arr1 with the numbers from arr2?

• np.minus(arr1, arr2)

• np.min(arr1, arr2)

• np.sub(arr1, arr2)

• np.substract(arr1, arr2)

What is a correct syntax to return the shape of an array?

• arr.shape

• shape(arr)

• arr.shape()

How to specifie the number of element to return in an array using NumPy

• np.linspace(a, b, num=c)

• np.array(a, b, num=c)

What is a correct syntax to print the number 8 from the array below:

arr = np.array([[1,2,3,4,5], [6,7,8,9,10]])

• print(arr[1, 2])  

• print(arr[7, 2])

• print(arr[3, 0])

• print(arr[1, 0])

mat1 = np.array([[1,2,3],[4,5,6], [7,8,9]])

print(np.add(mat1, 1))

• [[ 2, 3, 4],

  [ 5, 6, 7],

  [ 8, 9, 10]]

• [[ 2, 3, 4],

  [ 4, 5, 6],

  [ 7, 8, 9]]

• [[1, 2, 3],

  [4, 5, 6],

  [7, 8, 9]]