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Practice Questions
Test your understanding with targeted questions related to the topic.
Question 1
Easy
What does the shape attribute of a NumPy array indicate?
💡 Hint: Think about structure!
Question 2
Easy
How do you access the shape of a NumPy array named 'data'?
💡 Hint: What do we add after the variable?
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 .shape attribute return?
- Dimensions of the array
- Data in the array
- Type of the array
💡 Hint: Consider what tells you the arrangement of data.
Question 2
True or False: Reshaping an array changes the data within it.
- True
- False
💡 Hint: Think about what reshape does.
Solve 1 more question and get performance evaluation
Challenge Problems
Push your limits with challenges.
Question 1
You have an array of shape (6,) containing numbers 1 to 6. How can you reshape it to a 2x3 array? Write the code and describe the output shape.
💡 Hint: How many total elements do you have to work with?
Question 2
Given a 3D array with shape (2, 3, 4), how would you reshape it to a 4D array? Discuss any challenges with dimension compatibility.
💡 Hint: What do you need to remember about the number of elements when reshaping?
Challenge and get performance evaluation