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

Product type Paperback

Published in Aug 2021

Publisher Packt

ISBN-13 9781801077859

Length 744 pages

Edition 1st Edition

Languages

Python

Concepts

Programming Language

Author (1):

Robert S. Sutor

View More author details

Table of Contents (29) Chapters

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

15.5 Clustering

Suppose I have a CSV dataset containing 75 (x, y) geometric coordinates. I load these into the xy_df pandas DataFrame and look at its descriptive statistical summary:

xy_df = pd.read_csv("src/examples/clustering-xy.csv")
xy_df.describe()

            x       y
count 75.0000 75.0000
mean   7.5733  4.5401
std    4.0102  2.1265
min    1.9796  1.1947
25%    3.4182  2.8896
50%    7.0173  3.6819
75%   12.2170  6.9615
max   13.5643  8.2785

Here is the usual sample of the first five points:

xy_df.head()

        x      y
0 13.4832 3.2657
1  7.6388 7.0170
2  2.9279 2.9603
3  7.4514 6.4439
4  3.3011 2.4642

How are these points spread out geometrically? Are they uniformly distributed within their minimum and maximum ranges?

A scatter plot would help us see the distribution because we are in two dimensions, but let’s try to collect or cluster the points into k groups first. Here, k is...