Practice Selecting and Filtering Data - 4.6 | Chapter 4: Understanding Pandas for Machine Learning | Machine Learning Basics
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Practice Questions

Test your understanding with targeted questions related to the topic.

Question 1

Easy

What command would you use to select the 'Name' column?

πŸ’‘ Hint: Use single brackets for a single column.

Question 2

Easy

How do you filter for ages greater than 30?

πŸ’‘ Hint: Use the greater than operator inside the brackets.

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 will df[['Name']] return?

  • A Series
  • A DataFrame
  • An error

πŸ’‘ Hint: Think about the brackets you use.

Question 2

True or False: Filtering allows you to remove rows based on certain conditions.

  • True
  • False

πŸ’‘ Hint: Consider what filtering does to the data you see.

Solve 1 more question and get performance evaluation

Challenge Problems

Push your limits with challenges.

Question 1

Given the following DataFrame 'students', write a command to extract names of students who scored above 80 and attended more than 5 hours.

πŸ’‘ Hint: Use logical operators to combine multiple conditions.

Question 2

If you have a DataFrame of sales data, and you want to extract the 10 recent sales transactions above $1000, how would you approach this?

πŸ’‘ Hint: Filter first, then use head to limit your results.

Challenge and get performance evaluation