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Overall MCQs for Reference

  1. Which of the following can be used as data in Pandas?
    a. Python dict
    b. ndarray
    c. Scalar value
    d. All of the mentioned
    Answer: d. All of the mentionedsanfoundry​
  2. Pandas is mainly used for?
    a. Data analysis
    b. Web development
    c. Game development
    d. Image processing
    Answer: a. Data analysisincludehelp​
  3. Which of the following is the primary data structure for one-dimensional labeled data in Pandas?
    a. DataFrame
    b. Series
    c. Array
    d. List
    Answer: b. Seriesclcoding​
  4. What does PANDAS stand for?
    a. Panel Data Analysis
    b. Panel Data analyst
    c. Panel Data
    d. Panel Dashboard
    Answer: a. Panel Data Analysiscsiplearninghub​
  5. Pandas Series is equivalent to what in a spreadsheet?
    a. Column
    b. Cell
    c. Table
    d. None of the above
    Answer: a. Columncsiplearninghub​
  6. Which attribute is used to give user-defined labels in Series?
    a. index
    b. data
    c. values
    d. None of the above
    Answer: a. indexcsiplearninghub​
  7. Which of the following libraries allows manipulation and transformation of data efficiently?
    a. Pandas
    b. NumPy
    c. Matplotlib
    d. All of the above
    Answer: d. All of the abovescribd​
  8. What property assigns a name to the Series?
    a. name
    b. index.name
    c. size
    d. Series.name
    Answer: a. namecsiplearninghub​
  9. S1.values will return all the values of Series S1 in:
    a. Tuple
    b. Dictionary
    c. List
    d. String
    Answer: c. Listcsiplearninghub​
  10. Which method displays the first five values of a Series?
    a. S1.head()
    b. S1.head(5)
    c. Both of the above
    d. None of the above
    Answer: c. Both of the abovecsiplearninghub​
  11. Mathematical operations on two Series objects are done by matching:
    a. indexes
    b. values
    c. Both of the above
    d. None of the above
    Answer: a. indexescsiplearninghub​
  12. To display values more than 40 from Series S1:
    a. >>> S1
    b. >>> S1 > 40
    c. >>> S1[S1 > 40]
    d. None of the above
    Answer: c. >>> S1[S1 > 40]csiplearninghub​
  13. Statement to return 10 values from the end of Series S1:
    a. S1.tail()
    b. S1.tail(10)
    c. S1.head(10)
    d. S1(10)
    Answer: b. S1.tail(10)csiplearninghub​
  14. Valid operations on Series S1:
    a. >>> S1 + 2
    b. >>> S1 ** 2
    c. >>> S1 * 2
    d. All of the above
    Answer: d. All of the abovecsiplearninghub​
  15. Can there be duplicate indexes in Series?
    a. True
    b. False
    c. Not sure
    d. None of the above
    Answer: a. Truecsiplearninghub​
  16. Index value of 31 in S1=pd.Series(, index = [‘a’,’b’,’c’,’d’]):sanfoundry+2​
    a. ‘c’
    b. 2
    c. Both of the above
    d. None of the above
    Answer: a. ‘c’csiplearninghub​
  17. Which library helps to visualize data?
    a. Pandas
    b. Numpy
    c. Matplotlib
    d. Random
    Answer: c. Matplotlibcsiplearninghub​
  18. Which is a high-level data manipulation tool?
    a. Numpy
    b. Pandas
    c. Matplotlib
    d. Math
    Answer: b. Pandascsiplearninghub​
  19. Pandas is the ______ library.
    a. Freeware
    b. Proprietary
    c. Open source
    d. End source
    Answer: c. Open sourcecsiplearninghub​
  20. Pandas Series is size _______ and value _______
    a. Mutable, Mutable
    b. Immutable, Immutable
    c. Immutable, Mutable
    d. Mutable, Immutable
    Answer: c. Immutable, Mutablecsiplearninghub​
  21. What does the ‘describe()’ method do in Pandas?
    a. Gives summary statistics
    b. Describes data types
    c. Shows first n rows
    d. None of the above
    Answer: a. Gives summary statisticsincludehelp​
  22. Which method is used to read a CSV file in Pandas?
    a. read_csv
    b. open_csv
    c. csv_read
    d. None of the above
    Answer: a. read_csvtechtipnow​
  23. The default axis for DataFrame operations is:
    a. 0
    b. 1
    c. -1
    d. None
    Answer: a. 0includehelp​
  24. Function to check for missing values?
    a. isnull()
    b. isna()
    c. na()
    d. Both a and b
    Answer: d. Both a and bstudyopedia​
  25. Which statement removes duplicates?
    a. drop_duplicates()
    b. remove_dup()
    c. delete_dup()
    d. None of the above
    Answer: a. drop_duplicates()techtipnow​
  26. DataFrame is:
    a. 1-dimensional
    b. 2-dimensional
    c. 3-dimensional
    d. None
    Answer: b. 2-dimensionalincludehelp​
  27. What is the output of S1=pd.Series(); print(S1)?w3schools+3​
    a. 1
    b. 2
    c. 3
    d. 4
    Answer: c. 3csiplearninghub​
  28. Which of these joins can be performed in Pandas?
    a. Inner
    b. Left
    c. Right
    d. All of the above
    Answer: d. All of the abovestudyopedia​
  29. Which method shows info on DataFrame columns, data types, non-null values?
    a. info()
    b. describe()
    c. columns()
    d. None
    Answer: a. info()includehelp​
  30. Which method gets random samples from a DataFrame?
    a. sample()
    b. rand()
    c. random()
    d. None
    Answer: a. sample()techtipnow​
  31. Default axis for drop() in DataFrame is:
    a. 0
    b. 1
    c. -1
    d. None
    Answer: a. 0techtipnow​
  32. head() function of DataFrame by default shows how many rows?
    a. 3
    b. 4
    c. 5
    d. 10
    Answer: c. 5cdnbbsr.s3waas​
  33. Which method is used to reset index of a DataFrame?
    a. reset_index()
    b. set_index()
    c. drop_index()
    d. None
    Answer: a. reset_index()includehelp​
  34. Fillna() is used for:
    a. Dropping missing values
    b. Filling missing values
    c. Creating new columns
    d. None
    Answer: b. Filling missing valuesstudyopedia​
  35. Which of the following is not a valid attribute of Series?
    a. values
    b. index
    c. columns
    d. name
    Answer: c. columnsincludehelp​
  36. iloc[] is used for:
    a. Label-based indexing
    b. Integer location-based indexing
    c. String searching
    d. None
    Answer: b. Integer location-based indexingstudyopedia​
  37. loc[] is used for:
    a. Integer location-based indexing
    b. Label-based indexing
    c. Data type conversion
    d. None
    Answer: b. Label-based indexingstudyopedia​
  38. Which method concatenates pandas objects?
    a. concat()
    b. merge()
    c. join()
    d. combine()
    Answer: a. concat()includehelp​
  39. Which function sorts Series or DataFrame by index?
    a. sort_index()
    b. sort_values()
    c. order_by()
    d. None
    Answer: a. sort_index()studyopedia​
  40. Which method is used to visualize data directly in Pandas?
    a. plot()
    b. show()
    c. visualize()
    d. None
    Answer: a. plot()csiplearninghub​
  41. Which function converts DataFrame to numpy array?
    a. as_matrix()
    b. to_numpy()
    c. ndarray()
    d. None
    Answer: b. to_numpy()csiplearninghub​
  42. Which method changes the column names of DataFrame?
    a. rename()
    b. set_columns()
    c. modify_columns()
    d. None
    Answer: a. rename()csiplearninghub​
  43. The axis=1 parameter works on:
    a. Rows
    b. Columns
    c. Both rows and columns
    d. None
    Answer: b. Columnssanfoundry​
  44. Which function can be used to group data in DataFrame?
    a. groupby()
    b. split()
    c. summarize()
    d. None
    Answer: a. groupby()includehelp​
  45. In Pandas, DataFrame columns can be accessed using:
    a. Dot notation
    b. Bracket notation
    c. Both dot and bracket
    d. None
    Answer: c. Both dot and brackettechtipnow​
  46. What does DataFrame.T do?
    a. Deletes DataFrame
    b. Transposes DataFrame
    c. Times DataFrame
    d. None
    Answer: b. Transposes DataFrametechtipnow​
  47. Which parameter in read_csv() controls how missing values are represented?
    a. na_values
    b. missing
    c. empty
    d. None
    Answer: a. na_valuesincludehelp​
  48. What does DataFrame.shape return?
    a. Size
    b. Dimensions (rows, columns)
    c. Column names
    d. None
    Answer: b. Dimensions (rows, columns)includehelp​
  49. What method is used to save DataFrame to CSV?
    a. to_csv()
    b. save_csv()
    c. export_csv()
    d. None
    Answer: a. to_csv()techtipnow​
  50. Pandas is written in which language?
    a. Java
    b. C++
    c. Python
    d. JavaScript
    Answer: c. Pythonincludehelp​
  1. https://www.sanfoundry.com/data-science-questions-answers-pandas-data-structure/
  2. https://www.includehelp.com/python/pandas-mcqs.aspx
  3. https://www.clcoding.com/2024/02/10-question-multiple-choice-quiz-on.html
  4. https://csiplearninghub.com/pandas-mcq-questions-with-answers-class-12-ip/
  5. https://www.scribd.com/document/523212529/Pandas-mcqs-with-answers
  6. https://techtipnow.in/python-pandas-dataframe-mcq/
  7. https://studyopedia.com/pandas/pandas-interview-questions-answers/
  8. https://www.w3schools.com/python/pandas/pandas_quiz.asp
  9. https://cdnbbsr.s3waas.gov.in/s3kv01825a9211f2dfdf28a3d01d3e7831/uploads/2025/07/2025071787.pdf
  10. https://www.sanfoundry.com/data-science-questions-bank/
  11. https://www.learnpython4cbse.com/mcq-comp-sc-xii-16/python-mcq-pandas-dataframe-1
  12. https://askfilo.com/user-question-answers-smart-solutions/multiple-choice-questions-mcqs-on-pandas-a-important-data-3336323738313433
  13. https://www.geeksforgeeks.org/quizzes/python-pandas-quiz/
  14. https://kvsbhopalesupport.in/files/SM/IP/XII%20IP%20QB%202024-25.pdf
  15. https://mycstutorial.in/class-12-informatics-practices-data-handling-using-python-pandas-i-mcqs-set-1/
  16. https://www.ccbp.in/blog/articles/python-mcqs
  17. http://davburhar.in/File/425/IP%20Class%2012.pdf

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