NCERT Class 12 Informatics Practices MCQ : Python Pandas Part 2
Elevate your data analysis skills with our specialized Multiple Choice Questions (MCQs) page on ‘Python Pandas Part 2.’ Curated from previous year papers of diverse exams, including UPSC IAS, this resource is designed for programming enthusiasts and exam aspirants eager to deepen their understanding of advanced data manipulation techniques using the powerful Python Pandas library.
Delve into a diverse array of topics within ‘Python Pandas Part 2,’ covering advanced functionalities, data aggregation, and manipulation techniques. Each MCQ is meticulously crafted to challenge and deepen your comprehension of the critical elements that contribute to efficient data handling and analysis. Whether you’re a UPSC IAS candidate or someone passionate about data science, this page serves as an invaluable tool for exam preparation and building expertise in Python Pandas.
Key Features:
Authentic questions from UPSC IAS and diverse sector exams
Comprehensive coverage of advanced Python Pandas functionalities
Ideal for exam preparation and advancing proficiency in data manipulation
Embark on a data-driven exploration as you engage with our thoughtfully curated MCQs, each question designed to shed light on the complexities of ‘Python Pandas Part 2’ and enhance your understanding of the advanced features that make Python Pandas a go-to tool for data professionals
NCERT Class 12 Informatics Practices : Python Pandas Part 2 MCQ – NCERT Class 12 MCQ
Question:
Which of the following statement is correct for importing pandas in python
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B
C
D
Question:
What type of error is returned by following statement?
import pandas as pnd pn(d)Series([l,2,3,4], index = [aVb’,’c’])
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B
C
D
Question:
Which attribute is used to give user defined lables in series.?
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B
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D
Question:
Fill in the blank to get the ouput as 3 import pandas as pnd
Sl=pn(d)Series([l,2,3,4], index = [‘a’,’b’,’c’,’d’]) print(Sl[ ])
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B
C
D
Question:
Write the statement to get NewDelhi as output using
positional index, import pandas as pd
SI=p(d)Series([‘NewDelhi’,’WashingtonDC’,’London’,’Paris’],
index=[‘lndia’, ‘USA’, ‘UK’, ‘France’])
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B
C
D
Question:
We can access elements in Series by using …… index and index
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B
C
D
Question:
Write the output of the following: import pandas as pd
SI = p(d)Series([‘NewDelhi’,’WashingtonDC’, ‘London’, ’Paris’],
index=[’lndia’, ‘USA’, ‘UK’, ‘France’]) print(Sl[‘lndia’,’UK’])
A
B
C
D
Question:
Which of the following statement will print Series ‘SI’ in reverse order?
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B
C
D
Question:
Which of the following property/attribute assign name to the Series?
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B
C
D
Question:
Sl.vatues will return all the values of Series ‘SI’ in
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B
C
D
Question:
Which of the following property/attribute return total number of values in Series‘SI’
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B
C
D
Question:
Which of the following attributes returns True if there is no
value in Series?
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B
C
D
Question:
Which of the following attributes returns all the values of Series?
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B
C
D
Question:
Write the output of the following code: import pandas as pd
Sl=p(d)Series() print(p(d)Series().empty)
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B
C
D
Question:
Write the output of the following code : import pandas as
pd Sl=p(d)Series([l,2,3,4])
S2=p(d)Series([7,8]) S3=S1+S2 print(S3.size) (a) 2 (c) 6
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B
C
D
Question:
Which of the following statement shows first five value of series "SI"
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B
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D
Question:
Write the output of the following: import pandas as pd
Sl=p(d)Series([l,2,3,4])
S2=p(d)Series([7,8]) print((Sl+S2).count()) .
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B
C
D
Question:
Which of the following returns number of non-NaN values of Series?
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B
C
D
Question:
Write the output of the following: import pandas as pd
Sl=p(d)Series([l,2,3,4])
S2=p(d)Series([7,8,9,10]) S2.index=[‘a’,’b’,’c’,’d’]
print{{Sl+S2).count( ))
