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Practice Questions
Test your understanding with targeted questions related to the topic.
Question 1
Easy
How do you add a new column named 'Height' with values [5.5, 6.0, 5.8]?
💡 Hint: Remember to use the DataFrame variable and assign the values.
Question 2
Easy
What command would you use to delete a column named 'Weight'?
💡 Hint: Use the drop method, which takes column names as parameters.
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 method is used to add a new column in a Pandas DataFrame?
- assign()
- add_column()
- df['new_column'] = values
💡 Hint: Think about how you normally assign values in Python.
Question 2
True or False: The drop() method can remove multiple columns at once.
- True
- False
💡 Hint: Recall how we've handled multiple columns in discussions.
Solve 2 more questions and get performance evaluation
Challenge Problems
Push your limits with challenges.
Question 1
Create a DataFrame with three columns: 'Product', 'Price', and 'Sales'. Add a new column 'Profit' calculated as Price - Sales.
💡 Hint: Make sure to perform the subtraction correctly to get the profit.
Question 2
Given a DataFrame with multiple columns, write code that removes any column whose name starts with 'temp_'.
💡 Hint: Use list comprehension to generate the list of columns to drop.
Challenge and get performance evaluation