NumPy and Pandas Quiz

What is the output of the following code? import numpy as np

a = np.arange(10)

print(a[2:5])

• [2, 3, 4]

• [0, 1, 2]

• [2,3,4,5]

• [2, 4, 6]

Which of the following is used to create an identity matrix in NumPy?

• zeros()

• ones()

• arange()

• eye()

What is the output of the following code?

import numpy as np

a = np.array([1,2,3,5,8])

b = np.array([0,3,4,2,1])

c = a + b

c = c*a

print (c[2])

• 21

• 35

• 15

• Error

What is the output of the following?

import numpy as np

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

b = a.sum(axis=1)

print (b)

• 3

• 12

• [3, 12]

• [3, 5, 7]

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[7,2])

print(arr[1.2])

print(arr[2,3])

print(arr[2,2])

• print(arr[7,2])

• print(arr[1.2])

• print(arr[2,3])

• Print(arr[2,2])

Which of the following statement for creating dataframe is valid?

• df = pd.DataFrame(dict1)

• df = pd.Dataframe(dict1)

• df = pd.dataFrame(dict1)

• df = pd.dataframe(dict1)

A dataframe has two axes, where axes = 0 represents

• Index

• Row

• Column

• Values

What type of error is returned by following code? import pandas as pd S1 = pd.Series(data = (31, 2, -6), index = [7, 9, 3, 2]) print(S1)

• ValueError

• IndexError

• SyntaxError

• None of the above

What will be output for the following code?

import pandas as pd

import numpy as np

s = pd.Series(np.random.randn(4))

print s.ndim

• 1

• 2

• 3

• 4

State whether True or False a. A series object is size mutable. b. A Dataframe object is value mutable

• false,false

• true,false

• false,true

• true,true