Pandas DataFrame Operations Test (Free Online MCQs)

Pandas DataFrame Operations Test

The Pandas DataFrame Operations Test helps learners practise essential data manipulation skills. It focuses on filtering, sorting, grouping, merging, and reshaping DataFrames. Moreover, this test strengthens analytical thinking, which is crucial for data science tasks. Students can revise real-world operations through structured questions. Therefore, it becomes a valuable tool for beginners preparing for coding assessments. It also supports effective practice through clear examples.

Pandas MCQs, PDF Resources, and Interview Practice

This platform includes a data science online test style collection that helps beginners learn with step-by-step examples. Additionally, learners can access a data science online tests PDF for offline revision. The set also contains a complete data science online example list covering indexing, slicing, merging, and aggregations. Furthermore, it includes Pandas DataFrame operations test interview questions ideal for job preparation.

Quizzes, Class 12 Questions, and Practice Exercises

The test offers a Pandas quiz with answers for quick evaluation. Moreover, students can practise using Python Pandas exercises and solutions PDF designed for concept clarity. Many Pandas questions for practice are included to help build confidence. School learners benefit from Python Pandas Questions Class 12, which strengthen foundational understanding. These resources make revision smoother and significantly more effective.

Pandas DataFrame Operations Test

Free Online MCQs with Answers and Detailed Solutions

Total Questions: 15


1. Which method is used to select multiple columns from a DataFrame?


2. What is the correct way to filter rows where column ‘Age’ is greater than 25?


3. What does df.loc[] mainly index by?


4. Which of the following uses integer-based indexing?


5. Which method is used to drop a column named ‘Salary’?


6. Which method is used to rename DataFrame columns?


7. How can you sort a DataFrame by column ‘Marks’ in descending order?


8. Which function returns the unique values of a column?


9. How do you add a new column ‘Total’ to a DataFrame?


10. Which method combines DataFrames vertically (row-wise)?


11. Which method merges two DataFrames based on common columns?


12. Which of the following retrieves the index labels of a DataFrame?


13. How do you check if a column ‘Age’ exists in DataFrame df?


14. Which method removes duplicate rows from a DataFrame?


15. Which method resets the DataFrame index back to default?

Quiz Results Summary

Total Questions: 15

Correct Answers: 0

Incorrect Answers: 0

Total Score: 0 / 30

Percentage Score: 0.00%

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