NCERT Class 12 Informatics Practices MCQ : Python Pandas Case Based Questions
Elevate your proficiency in Python Pandas with our MCQs page dedicated to ‘Python Pandas Case-Based Questions.’ Crafted from the insights gleaned from previous year papers across diverse sectors, including the esteemed UPSC IAS and more, this resource is designed to fortify your skills through real-world application scenarios.
These Multiple Choice Questions are strategically structured to challenge and deepen your understanding of Python Pandas within the context of practical cases. Whether you’re an aspiring data scientist or gearing up for competitive exams, these questions offer a hands-on approach to mastering the intricacies of Pandas, a powerful library for data manipulation and analysis in Python.
Prepare confidently for exams with questions sourced from various sectors, ensuring a practical grasp of Pandas functionalities, data manipulation, and real-world problem-solving. Each MCQ serves as a key to unlocking insights into the nuanced world of data analysis using Python, mirroring the depth of knowledge required for success in competitive examinations.
Immerse yourself in the study of ‘Python Pandas Case-Based Questions,’ confident in your ability to tackle MCQs that mirror the complexities of real-world data scenarios. Our resource, drawn from previous year papers, acts as a roadmap for exam success, offering both knowledge enrichment and practical insights.
NCERT Class 12 Informatics Practices : Python Pandas Case Based Questions MCQ – NCERT Class 12 MCQ
Question:
Out of many data structures of Pandas, two basic data structures and are universally popular for their dependability.
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Question:
Dataframe is a data structure of Python Pandas.
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Question:
A Series is a Pandas data structure that represents a
one-dimensional array like object containing an array of
data and an associated array of data Labels, called its
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Question:
When numeric indexes can depict positions of data in
the objects (e.g., when indexes go as 0,1, 2,), they are called
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Question:
A series type objects can be created in many ways using
Pandas library’s
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Question:
Choose the right code from the following for statement
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Question:
Code to create the above dataframe: import pandas as ……… Statement data = {“Year”:
[2010,2010,2012,2010,2012], ”Month”:
[“Jan”, “Mar”, “Jan”, “Dec”, “Dec”], “Passengers”:[25,50,35,55,65] } df=pd (data) #Statement 2 print(df)
Choose the right code from the following for the
statement 2.
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Question:
ode to create the above dataframe: import pandas as ……… Statement data = {“Year”:
[2010,2010,2012,2010,2012], ”Month”:
[“Jan”, “Mar”, “Jan”, “Dec”, “Dec”], “Passengers”:[25,50,35,55,65] } df=pd (data) #Statement 2 print(df)
Choose the right code from the following for the
statement 2.
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D
Question:
Code to create the above dataframe: import pandas as ……… Statement data = {“Year”:
[2010,2010,2012,2010,2012], ”Month”:
[“Jan”, “Mar”, “Jan”, “Dec”, “Dec”], “Passengers”:[25,50,35,55,65] } df=pd (data) #Statement 2 print(df)
Choose the correct statement/method for the required
output: (5,3
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Question:
Code to create the above dataframe: import pandas as ……… Statement data = {“Year”:
[2010,2010,2012,2010,2012], ”Month”:
[“Jan”, “Mar”, “Jan”, “Dec”, “Dec”], “Passengers”:[25,50,35,55,65] } df=pd (data) #Statement 2 print(df)
He wants to print the details of “January” month along
with the number of passengers. Identify the correct
statement:
Month Passengers
0 Jan 25
2 Jan 35
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Question:
Choose the correct output for the statement, print
(school.tail(3)) # statement 2
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Question:
Choose the correct output for the statement, print
(school[“tt”]). # statement 3
