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Practice Questions
Test your understanding with targeted questions related to the topic.
Question 1
Easy
What is the purpose of the drop_duplicates method in Pandas?
💡 Hint: Think about data integrity.
Question 2
Easy
How do you apply drop_duplicates to a DataFrame?
💡 Hint: Remember to use inplace to modify the original DataFrame.
Practice 4 more questions and get performance evaluation
Interactive Quizzes
Engage in quick quizzes to reinforce what you've learned and check your comprehension.
Question 1
What does the drop_duplicates method do in Pandas?
- Count duplicate entries
- Remove duplicate entries
- Display duplicate entries
💡 Hint: Think about its primary function.
Question 2
True or False: Using inplace=True allows drop_duplicates to modify the original DataFrame directly.
- True
- False
💡 Hint: Consider how changes affect the DataFrame.
Solve 1 more question and get performance evaluation
Challenge Problems
Push your limits with challenges.
Question 1
Given a DataFrame with 1500 entries, where 300 are duplicates of others, what will be the total number of unique entries after applying drop_duplicates?
💡 Hint: Think about subtracting the duplicates from the total.
Question 2
If you find duplicates in a financial report with mandatory unique entries, what steps would you take to address this issue?
💡 Hint: Consider the impact of these duplicates on decision-making.
Challenge and get performance evaluation