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Learn Theoretical Questions | Matplotlib
Data Science Interview Challenge

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Theoretical Questions

1. Which statement best describes the purpose of a colormap in Matplotlib?

2. What is the primary purpose of using subplots in a figure?

3. Why is it important to label axes and provide legends in plots?

4. Which of the following is NOT a typical use case for Matplotlib?

5. How does Matplotlib handle the integration with Pandas DataFrames?

6. What is the significance of aspect ratio in a plot?

7. Which of the following statements about annotations in plots is true?

8. What does the following code do?

9. If you want to fill the area between two horizontal curves, which function can you use?

question mark

Which statement best describes the purpose of a colormap in Matplotlib?

Select the correct answer

question mark

What is the primary purpose of using subplots in a figure?

Select the correct answer

question mark

Why is it important to label axes and provide legends in plots?

Select the correct answer

question mark

Which of the following is NOT a typical use case for Matplotlib?

Select the correct answer

question mark

How does Matplotlib handle the integration with Pandas DataFrames?

Select the correct answer

question mark

What is the significance of aspect ratio in a plot?

Select the correct answer

question mark

Which of the following statements about annotations in plots is true?

Select the correct answer

question mark

What does the following code do?

import matplotlib.pyplot as plt

plt.axis('off')

Select the correct answer

question mark

If you want to fill the area between two horizontal curves, which function can you use?

Select the correct answer

Everything was clear?

How can we improve it?

Thanks for your feedback!

Section 4. Chapter 6
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