CBSE Class 12 Informatics Practices Data Handling using Pandas Assignment Set 03

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Access comprehensive school assignments for Chapter 02 Data Handling using Pandas I using the CBSE Class 12 Informatics Practices Data Handling using Pandas Assignment Set 03. Designed to align with the 2026-27 CBSE academic guidelines, these practice sets help Class 12 Informatics Practices students reinforce core concepts and improve their problem-solving accuracy.

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Question: Write import Statement for Pandas Module
Answer: import pandas as pd

Question: Difference between a list and a series.
Answer: In Lists, index value can not be changed eg. [10, ‘Hello’, True]
In Series, index value can be changed.
s2 = pd.Series([‘Hello’, 10, True], index=[2,1,3])
2 Hello
1 10
3 True

Question: Create an empty series.
Answer: import pandas as pd
s=pd.Series()
print(s) 

Question: What will be output of the following:
s = pd.Series([1,2,3,4,5])
s.size
Answer: 5 # s.size gives numbers of elements

Question: CSV stands for ________________________________________
Answer: Comma separated values.

Question:_______________Return the sum over requested axis in Data Frame Df.
Answer: Df.sum

Question:__________________Return the minimum over requested axis in Data Frame Df.
Answer: Df.min

Question: Create a series from dictionary.
Answer: import pandas as pd
data = {‘a’ : 0., ‘b’ : 1., ‘c’ : 2.}
s = pd.Series(data)
print(s)

Question: What will be output of the following:
s = pd.Series([1,2,3,4,5])
s.ndim
Answer: 1 # ndim gives the dimension of series

Question: __________________ function returns first n rows from the object based on position.
Answer: head()

Question: __________________ function returns last n rows from the object based on position.
Answer: tail()

Question: Predict the Output:
import pandas as pd
L=[[‘Rahul’,17],[‘Mohit’,18]]
Df=pd.DataFrame(L, columns=[‘Name’,’Age’])
print(Df)
Answer: Name        Age
  0          Rahul          17
 1          Mohit           18

Question: _____________ is used to check the Null values in a Data Frame.
Answer: isnull ( )

Question: Which of the following is used to replace Null values in a Data Frame?
Answer: fillna ( )

Question: What does DataFrame df.columns give?
Answer: Shows the columns name of Data Frame df.

Question: Axis=1 in a Data Frame represents.
Answer: columns

Question: Axis=0 in a Data Frame represents
Answer: Rows

Question: The file extension of a csv file is _________________
Answer: csv

Question: The library to be imported to export and import DataFrame to and from a csv file is_____________
Answer: pandas

Question: CSV stands for ________________________________________
Answer: Comma separated values.

Question: How many Data Structures available in Pandas?
Answer: Two Data Structures available in Pandas
1. Data Series / Series 2. Data Frame

Question: Create a series which contains 5 numbers and alphabets as index.
Answer: import pandas as pd
s = pd.Series([1,2,3,4,5],index = [‘a’,’b’,’c’,’d’,’e’])

Question: Create a series and multiply every element by 2
Answer: import pandas as pd
s = pd.Series([1,2,3,4,5])
print(s*2)

Question: Create a series which contains names of person.
Answer: import pandas as pd
s=pd.Series([‘suman’,’ravi’,’swati’])
print(s)

Question: By default a csv file opens with __________________
Answer: excel

Question: Write a python program to export the DataFrame ‘df1’ to a csv file ‘file1.csv’ in the current folder.
Answer: import pandas as pd
df1.to_csv(‘file1.csv’)

Question: Write a python program to export the DataFrame ‘df1’ to a csv file ‘file1.csv’ in ‘mycsv’ folder under ‘D’ drive.
Answer: import pandas as pd
df1.to_csv(‘d:/mycsv/file1.csv’)

Question: Study the following program, then write the output if we open the file ‘file1.csv’ in excel.
import pandas as pd
d={‘designation’:[‘manager’,’clerk’,’salesman’, ‘director’]
,’salary’:[25000,15000,14000,30000]}
df=pd.DataFrame(d)
df.to_csv(‘file1.csv’)
Answer: 

CBSE-Class-12-Informatics-Practices-Data-Handling-using-Pandas-Assignment-Set-C-1

 

Question: Study the following program, then write the output if we open the file ‘file1.csv’ in excel.
import pandas as pd
d={‘designation’:[‘manager’,’clerk’,’salesman’,’director’]
,’salary’:[20000,15000,22000,30000]}
df=pd.DataFrame(d)
df.to_csv(‘file1.csv’, index=False)
Answer: 

CBSE-Class-12-Informatics-Practices-Data-Handling-using-Pandas-Assignment-Set-C

 

Question: Write a python program to export the DataFrame ‘df1’ to a csv file ‘file1.csv’ in ‘mycsv’ folder under ‘D’ drive without index of the Dataframe.
Answer: import pandas as pd
df1.to_csv(‘d:/mycsv/file1.csv’, index=False)

Question: Write a python program to export the DataFrame ‘df1’ to a csv file ‘file1.csv’ in the current folder without index of the Dataframe.
Answer: import pandas as pd
df1.to_csv(‘file1.csv’, index=False)

CBSE Class 12 Informatics Practices Assignments for Chapter 02 Data Handling using Pandas I

Class 12 Informatics Practices Chapter 02 Data Handling using Pandas I Printable Assignments

Review targeted chapter assignments for Class 12 Informatics Practices Chapter 02 Data Handling using Pandas I. Built according to official CBSE guidelines, these downloadable problem sets help students build accuracy and prepare effectively for school tests.

Why Practice Class 12 Informatics Practices Assignments?

  • Syllabus Compliance: Sets reflect current CBSE evaluation criteria and official marking frameworks.
  • Multi-Format Practice: Includes varied problem types designed to deepen comprehension across all sub-topics.
  • Time Management: Routine practice optimizes pacing to finish school examinations comfortably within schedule.

How to Approach Informatics Practices Chapter 02 Data Handling using Pandas I Assignments

  1. Initial Reading: Begin by reading the NCERT book for Class 12 Informatics Practices to build a baseline understanding.
  2. Independent Testing: Attempt assignment questions unassisted, then verify work using provided answer keys.
  3. Supplementary Aids: Leverage revision notes and worksheets whenever you encounter difficult topics.

FAQs

Where can I download the latest CBSE Class 12 Informatics Practices Chapter 02 Data Handling using Pandas I assignments?

You can download free PDF assignments for Class 12 Informatics Practices Chapter 02 Data Handling using Pandas I from StudiesToday.com. These practice sheets have been updated for the 2026-27 session covering all concepts from latest NCERT textbook.

Do these Informatics Practices Chapter 02 Data Handling using Pandas I assignments include solved questions?

Yes, our teachers have given solutions for all questions in the Class 12 Informatics Practices Chapter 02 Data Handling using Pandas I assignments. This will help you to understand step-by-step methodology to get full marks in school tests and exams.

Are the assignments for Class 12 Informatics Practices Chapter 02 Data Handling using Pandas I based on the 2026 exam pattern?

Yes. These assignments are designed as per the latest CBSE syllabus for 2026. We have included huge variety of question formats such as MCQs, Case-study based questions and important diagram-based problems found in Chapter 02 Data Handling using Pandas I.

How can practicing Chapter 02 Data Handling using Pandas I assignments help in Informatics Practices preparation?

Practicing topicw wise assignments will help Class 12 students understand every sub-topic of Chapter 02 Data Handling using Pandas I. Daily practice will improve speed, accuracy and answering competency-based questions.

Can I download Informatics Practices Chapter 02 Data Handling using Pandas I assignments for free on mobile?

Yes, all printable assignments for Class 12 Informatics Practices Chapter 02 Data Handling using Pandas I are available for free download in mobile-friendly PDF format.