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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

14.5 Statistics with pandas

pandas implements versions of all the statistical functions we saw in section 14.1. The describe method summarizes many of these for the columns with numeric data. It returns a DataFrame.

concert_df.describe()
               Id         Age  1995 Concerts
count   100.00000  100.000000     100.000000
mean   1049.69000   40.620000       1.880000
std      29.28084    4.556669       2.275384
min    1000.00000   29.000000       0.000000
25%    1024.75000   38.000000       0.000000
50%    1049.50000   40.000000       0.000000
75%    1074.25000   43.000000       4.000000
max    1100.00000   52.000000       7.000000

14.5.1 Means, and medians, and deviations, oh my

pandas provides methods to compute each of these statistics. mean operates on a DataFrame object and returns the computed averages as a Series:

concert_df.mean()
Id               1049.69
Age                40.62
1995 Concerts...
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