Data Analytics using Python - Quiz 1

How to create a numpy array?

• numpy.array([1, 2, 3, 4, 5])
• [1, 2, 3, 4, 5]
• array([1, 2, 3, 4, 5])
• numpy.array{(1, 2, 3, 4, 5)}

What will be the output of np.arange(10,201,10)?

• [ 10 20 30 40 50 60 70 80 90 100 110 120 130 140 150 160 170 180 190 200]
• [10 100 200]
• [10 10 10 10 10 10 10 10 10 10]
• error

How to create an array of zero’s of size 3?

• np.zeros(3)
• np.array(zeros(3))
• array.zeros(3)
• np.array.zeros(3)

What will be the output of the following code:

A1 = np.array(['Juan','Matt','Tom'])

print (A1[0])

print (A1[-2])

print (A1[-0])

• Juan Matt Juan

• Juan Tom Tom

• Error

• Tom Matt Juan

What is the output of the following code:

students = np.array([['Alice','Beth','Cathy','Dorothy'] , [65,78,90,81],[71,82,79,92]])

students[...,1]

• array(['Beth', '78', '82'], dtype='<U21')

• ['Alice','Beth','Cathy','Dorothy']

• [65,78,90,81],  [71,82,79,92]

• error

What will be the output of the code:

heights = [165,170,168,183,172,169]

weights = [61,76,56,81,62,60]

student_bio = np.array([heights,weights])

student_bio.shape

• (6, 2)

• (2, 6)

• array(2, 6)

• np.array(6, 2)

What is the output of the code:

a = np.array([7, 8, 9, 10, 11, 12])

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

np.copyto(j,a)

print (j)

• B: [ 1 2 3 4 5 6 ]

• error

• [ 7  8  9 10 11 12 ]

How to get a one dimensional array of random int numbers of size 6? A: np.random.randint(10, size=6)

• np.random(10, 6)
• np.randint(10, size=6)
• np.random(randint(10, size=6))
• np.random.randint(10, size=6)

What will be the output of the code:

arr = np.array([[20,25,30,35], [40,50,60,70],[45,48,51,54]])

arr.flatten()

• 45,48,51,54,40,50,60,70,20,25,30,35

• 20,25,30,35,40,50,60,70,45,48,51,54

• 20,25,30,35,45,48,51,54,40,50,60,70

• 20,40,45,25,50,48,30,60,51,35,70,54

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[2,3])

• print(arr[1,2])

• print(arr[0,0])