
CBSE Old Questions on Pandas

Quiz
•
Computers
•
12th Grade
•
Medium
C RAJU
Used 1+ times
FREE Resource
8 questions
Show all answers
1.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
A Series is a one dimensional array containing a sequence of values of any data type (int, float, list, string, etc), having by default have ________ data labels.
alphanumeric
string
decimal
numeric
2.
OPEN ENDED QUESTION
3 mins • 1 pt
Find the output of the following code: import pandas as pd lst1=[20,35,40] ser1=pd.Series([20,35,40]) print(lst1+lst1) print(ser1+ser1)
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3.
OPEN ENDED QUESTION
3 mins • 1 pt
Complete the given Python code to get the required output as "California": import_____________as pd data={'Yosemite':'California','Yellowstone':'Wyoming', 'Glacier':'Montana','RockyMountain':'Colorado'} national_parks=pd.Series(_____________) print(national_parks _________)
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4.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Which of the following command will show the last 3 rows from a Pandas Series named NP?
NP.Tail( )
NP.tail(3)
NP.TAIL(3)
All of the above
5.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
In Python Pandas, while performing mathematical operations on series, index matching is implemented and all missing values are filled in with _____by default.
Null
Blank
NaN
Zero
6.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Assertion (A):- To use the Pandas library in a Python program, one must import it. Reasoning (R): - The only alias name that can be used with the Pandas library is pd.
Both A and R are true and R is the correct explanation for A
Both A and R are true and R is not the correct explanation for A
A is True but R is False
A is false but R is True
7.
OPEN ENDED QUESTION
3 mins • 1 pt
Predict the output of the given Python code: import pandas as pd list1=[-10,-20,-30] ser = pd.Series(list1*2) print(ser)
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8.
OPEN ENDED QUESTION
3 mins • 1 pt
Complete the given Python code to get the required output as: Rajasthan import _________ as pd di = {'Corbett': 'Uttarakhand', 'Sariska': 'Rajasthan', 'Kanha': 'Madhya Pradesh', 'Gir':'Gujarat'} NP = ___________. Series ( _____ ) print(NP[ ___________ ])
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