pandas & NumPy

How to use numpy ?

• import numpy as np

• import pandas as pd

• import pyplot as plt

np.arange(2,8,1) ----> what output will be produced?

• 2,3,4,5,6,7,8

• 2,3,4,5,6,7,8,9

• 2,3,4,5,6,7

• 2,4,6,8

names = np.array(["Reem" , "Salah" , "Haya" , "Maryam" , "Fatema"])

print(names([2,3,4]))

Mark the right output from the below options

• [ 'Haya' 'Maryam' 'Fatema' ]

• [ 'Maryam' 'Haya' 'Fatema' ]

• [ 'Reem' 'Salah' 'Fatema' ]

• [ 'Reem' 'Salah' 'Haya' ]

to read csv file

• pd.read_CSV("file.csv")

• pd.to_csv("file.csv")

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

• [1, 2, 3, 4, 5]

• [[1, 2, 3], [4, 5, 6]]

• 42

• 2* [1, 2, 3, 4, 5]

are Numpy arrays more effiecient than python lists

• Yes

• No

how do you use numpy

• import Numpy as np

• import num℘y as nℙ

• import numpy

• import numpy as np

we can analyze the data in pandas with :

• Series

• Dataframe

• Both

• none

Series.head() will return how many rows.

• 2

• 3

• 4

• 5

Series in Pandas is

• 1 Dimensional Array

• 2 Dimensional array

• 3 Dimensional array

• none of above