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Dancing with Python

You're reading from   Dancing with Python Learn to code with Python and Quantum Computing

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Product type Paperback
Published in Aug 2021
Publisher Packt
ISBN-13 9781801077859
Length 744 pages
Edition 1st Edition
Languages
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Author (1):
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Robert S. Sutor Robert S. Sutor
Author Profile Icon Robert S. Sutor
Robert S. Sutor
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Toc

Table of Contents (29) Chapters Close

Preface 1. Chapter 1: Doing the Things That Coders Do 2. Part I: Getting to Know Python FREE CHAPTER
3. Chapter 2: Working with Expressions 4. Chapter 3: Collecting Things Together 5. Chapter 4: Stringing You Along 6. Chapter 5: Computing and Calculating 7. Chapter 6: Defining and Using Functions 8. Chapter 7: Organizing Objects into Classes 9. Chapter 8: Working with Files 10. PART II: Algorithms and Circuits
11. Chapter 9: Understanding Gates and Circuits 12. Chapter 10: Optimizing and Testing Your Code 13. Chapter 11: Searching for the Quantum Improvement 14. PART III: Advanced Features and Libraries
15. Chapter 12: Searching and Changing Text 16. Chapter 13: Creating Plots and Charts 17. Chapter 14: Analyzing Data 18. Chapter 15: Learning, Briefly 19. References
20. Other Books You May Enjoy
21. Index
Appendices
1. Appendix A: Tools 2. Appendix B: Staying Current 3. Appendix C: The Complete UniPoly Class
4. Appendix D: The Complete Guitar Class Hierarchy
5. Appendix E: Notices 6. Appendix F: Production Notes

13.1 Function plots

This section introduces matplotlib and develops the techniques to create the plots in Figure 13.1.

Plots of the sine and inverse sine functions
Figure 13.1: Plots of the sine and inverse sine functions

We use the matplotlib.pyplot module, which we always import as plt.

13.1.1 Plotting a point

In its most basic form, the plot function takes a point’s x coordinate, y coordinate, and some keyword arguments that state how to display the point.

import matplotlib.pyplot as plt

the_plot = plt.plot(1, 0.5, color="black", marker='o')
<Figure size 432x288 with 1 Axes>

The show function displays the plot.

plt.show()
A matplotlib plot with one point

The color keyword argument sets the color of the point, and you can use "black", "blue", "cyan", "green", "magenta", "red", "white", and "yellow&quot...

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