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

14.3 pandas DataFrames

A DataFrame is a flexible 2-dimensional data structure that represents rows and columns. The rows are records, and the columns are data of a particular feature. For example, we will see a DataFrame where the rows correspond to cats, and the columns include their breed and color.

We can access the rows and columns in ways that resemble both lists and dictionaries; that is, we can use numeric indices or string labels/keys. pandas is built on numpy and matplotlib, so you can use their functions and methods for computation and visualization. We discussed those packages in Chapter 13, Creating Plots and Charts.

pandas is a very large Python package and has many functions and methods for working with DataFrames. [PAN] You can often get the result you seek by using Pythonic combinations of row and column operations together with indexing and slicing. Other ...