Matplotlib Python Quiz 14

Test your Matplotlib skills with this 20-question Matplotlib Python Quiz! Perfect for students, data analysts, and data scientists preparing for job interviews. Test your knowledge about line plots, histograms, subplots, labels, legends, and more. Includes answers to help you master data visualization in Python! Let us start with the Online matplotlib Python Quiz now.

Online MatplotLib Python Quiz with Answers

Data Visualization with MatPlotLib Python Library Quiz with Answers

1. Which parameter controls the transparency of a plot element?

 
 
 
 

2. Which of the following steps are necessary to customize the kind parameter to render a bar or horizontal bar graph in Matplotlib?

 
 
 
 

3. What does plt.xlabel() do?

 
 
 
 

4. What is the purpose of plt.grid()?

 
 
 
 

5. What is Matplotlib primarily used for?

 
 
 
 

6. How do you display a Matplotlib plot in a Jupyter Notebook?

 
 
 
 

7. Which command is used to add a title to a plot?

 
 
 
 

8. When using Matplotlib, how can you access preconfigured color templates?

 
 
 
 

9. Which of the following is used to add a legend to a plot?

 
 
 
 

10. How do you set the figure size in Matplotlib?

 
 
 
 

11. Which function is used to create a histogram?

 
 
 
 

12. How do you label the x-axis in Matplotlib?

 
 
 
 

13. Which Matplotlib backend is used for interactive plots in Jupyter Notebook?

 
 
 
 

14. What is the correct way to save a Matplotlib plot as a PNG file?

 
 
 
 

15. Which command is used to add a title to a plot?

 
 
 
 

16. What does plt.subplots() return?

 
 
 
 

17. Which function is used to create a line plot in Matplotlib?

 
 
 
 

18. How do you create a bar plot in Matplotlib?

 
 
 
 

19. How do you set the x-axis limits in a plot?

 
 
 
 

20. What does plt.subplot(2, 2, 3) mean?

 
 
 
 

Question 1 of 20

Online Matplotlib Python Quiz with Answers

  • What is Matplotlib primarily used for?
  • Which function is used to create a line plot in Matplotlib?
  • How do you display a Matplotlib plot in a Jupyter Notebook?
  • Which command is used to add a title to a plot?
  • What does plt.xlabel() do?
  • Which function is used to create a histogram?
  • What is the correct way to save a Matplotlib plot as a PNG file?
  • Which of the following is used to add a legend to a plot?
  • What does plt.subplots() return?
  • Which parameter controls the transparency of a plot element?
  • How do you create a bar plot in Matplotlib?
  • What is the purpose of plt.grid()?
  • Which Matplotlib backend is used for interactive plots in Jupyter Notebook?
  • How do you set the figure size in Matplotlib?
  • Which of the following steps are necessary to customize the kind parameter to render a bar or horizontal bar graph in Matplotlib?
  • When using Matplotlib, how can you access preconfigured color templates?
  • Which command is used to add a title to a plot?
  • How do you label the x-axis in Matplotlib?
  • What does plt.subplot(2, 2, 3) mean?
  • How do you set the x-axis limits in a plot?

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