Practice Adding and Deleting Columns - 4.7 | Chapter 4: Understanding Pandas for Machine Learning | Machine Learning Basics
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Adding and Deleting Columns

4.7 - Adding and Deleting Columns

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Practice Questions

Test your understanding with targeted questions

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.

4 more questions available

Interactive Quizzes

Quick quizzes to reinforce your learning

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.

2 more questions available

Challenge Problems

Push your limits with advanced challenges

Challenge 1 Hard

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.

Challenge 2 Hard

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.

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