Pandas Series Quiz

Ankush works with a series named "Team". Answer the following questions, based on the given series: Write statement to create the following Series Team, a) di={'Chargers':'Level2','Warriors':'Level1','Blazers':'Level3','Braves':'Level2','Bears':'Level5'} Team=pd.Series(di) b) Team=pd.Series(data={'Chargers':'Level2','Warriors':'Level1','Blazers':'Level3', 'Braves':'Level2', 'Bears':'Level5'} c) Both a and b d) None of these

• None of these

• Both a and b

• Team=pd.Series(data={'Chargers':'Level2','Warriors':'Level1','Blazers':'Level3', 'Braves':'Level2', 'Bears':'Level5'}

• di={'Chargers':'Level2','Warriors':'Level1','Blazers':'Level3','Braves':'Level2','Bears':'Level5'} Team=pd.Series(di)

Predict the output of, print(Team.head(-2))

• None of these

• Chargers Level2 Warriors Level1

• Error

• Braves Level2 Bears Level5 Chargers Level2 Warriors Level1 Blazers Level3

What type of error is returned by following statement? >>>import pandas as pd >>>pd.Series([10,20,30,40,50], index = ['x','y','z'])

• Syntax Error

• Index Error

• Logical Error

• Value Error

Pandas Series is:

• Multidimensional

• 2 Dimensional

• 3 Dimensional

• 1 Dimensional

Pandas is a:

• Package

• Software

• Library

• Language

We can analyse the data in pandas with ___________

• Data Frame

• Both of the above

• None of the above

• Series

Which of the following import statement is not correct?

• import pandas as pd1

• import pandas as 1pd

• import pandas as pd

• import pandas as class12

What will be the output of the given code? import pandas as pd s = pd.Series([1,2,3,4,5], index=['akram','brijesh','charu','deepika','era']) print(s['charu'])

• 3

• 2

• 1

• 4

Assuming the given series, named stud, which command will be used to print 5 as output?

• stud.index

• stud.length

• stud.values

• stud.size

A social science teacher wants to use a pandas series to teach about Indian historical monuments and its states. The series should have the monument names as values and state names as indexes which are stored in the given lists, as shown in the code. Choose the statement which will create the series: import pandas as pd Monument=['Qutub Minar','Gateway of India','Red Fort','Taj Mahal'] State=['Delhi','Maharashtra','Delhi','Uttar Pradesh']

• S=pd.series(Monument,index=State)

• S=pd.Series(State,Monument)

• S=df.Series(Monument,index=State)

• S=pd.Series(Monument,index=State)