Find the CBSE Class 12 Informatics Practices Data Handling using Pandas Assignment Set 03 right below. We offer chapter-wise Class 12 Informatics Practices school assignments for the 2026-27 term, including detailed solutions for Chapter 2 Data Handling using Pandas I. These resources are created by expert teachers in alignment with NCERT, CBSE, and KVS standards.
Solved Assignment for Class 12 Informatics Practices Chapter 2 Data Handling using Pandas I
Every Class 12 Informatics Practices student should solve these problems regularly to build strong core knowledge. These printable assignments offer a great way to test yourself on Chapter 2 Data Handling using Pandas I, featuring questions of all difficulty levels for better exam scores.
Chapter 2 Data Handling using Pandas I Questions & Answers for Class 12 Informatics Practices
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:
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:
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)
Free study material for Informatics Practices
CBSE Class 12 Informatics Practices Assignments for Chapter 2 Data Handling using Pandas I
Download Assignment: Chapter 2 Data Handling using Pandas I (Class 12 Informatics Practices)
Explore active Chapter 2 Data Handling using Pandas I assignments structured according to the latest CBSE guidelines for Class 12. These sets feature diverse problems ranging from MCQs, short answer questions, and long-form problems focused on Chapter 2 Data Handling using Pandas I. Conveniently download them as a PDF format file at no cost. Designed by expert teachers following historical exam trends, these exercises ensure solid preparation for school tests.
Why Practice Class 12 Informatics Practices Assignments?
- Better Exam Scores: Regular practice will help you to understand Chapter 2 Data Handling using Pandas I properly and you will be able to answer exam questions correctly.
- Latest Exam Pattern: All questions are aligned as per the latest CBSE sample papers and marking schemes.
- Huge Variety of Questions: These Chapter 2 Data Handling using Pandas I sets include Case Studies, objective questions, and various descriptive problems with answers.
- Time Management: Solving these Chapter 2 Data Handling using Pandas I test papers daily will improve your speed and accuracy.
Effective Strategy for Class 12 Informatics Practices Assignments
- Concept Foundation: Review the NCERT book for Class 12 Informatics Practices thoroughly before diving into the assignment tasks.
- Self-Evaluation: Solve the Chapter 2 Data Handling using Pandas I exercises independently before inspecting our professional answer guides.
- Reference Tools: Consult our Revision Notes and Class 12 worksheets for extra assistance on hard topics.
- Performance Review: Note down recurrent errors and reinforce those areas via interactive online MCQ tests.
Best Practices for Class 12 Informatics Practices Preparation
For the best results, solve one assignment for Chapter 2 Data Handling using Pandas I on a daily basis. Using a timer while practicing will further improve your problem-solving skills and prepare you for the actual CBSE exam.
FAQs
You can download free PDF assignments for Class 12 Informatics Practices Chapter 2 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.
Yes, our teachers have given solutions for all questions in the Class 12 Informatics Practices Chapter 2 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.
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 2 Data Handling using Pandas I.
Practicing topicw wise assignments will help Class 12 students understand every sub-topic of Chapter 2 Data Handling using Pandas I. Daily practice will improve speed, accuracy and answering competency-based questions.
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