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The Pandas Workshop

You're reading from   The Pandas Workshop A comprehensive guide to using Python for data analysis with real-world case studies

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Product type Paperback
Published in Jun 2022
Publisher Packt
ISBN-13 9781800208933
Length 744 pages
Edition 1st Edition
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Authors (4):
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Blaine Bateman Blaine Bateman
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Blaine Bateman
William So William So
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William So
Saikat Basak Saikat Basak
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Saikat Basak
Thomas Joseph Thomas Joseph
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Thomas Joseph
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Table of Contents (21) Chapters Close

Preface 1. Part 1 – Introduction to pandas
2. Chapter 1: Introduction to pandas FREE CHAPTER 3. Chapter 2: Working with Data Structures 4. Chapter 3: Data I/O 5. Chapter 4: Pandas Data Types 6. Part 2 – Working with Data
7. Chapter 5: Data Selection – DataFrames 8. Chapter 6: Data Selection – Series 9. Chapter 7: Data Exploration and Transformation 10. Chapter 8: Understanding Data Visualization 11. Part 3 – Data Modeling
12. Chapter 9: Data Modeling – Preprocessing 13. Chapter 10: Data Modeling – Modeling Basics 14. Chapter 11: Data Modeling – Regression Modeling 15. Part 4 – Additional Use Cases for pandas
16. Chapter 12: Using Time in pandas 17. Chapter 13: Exploring Time Series 18. Chapter 14: Applying pandas Data Processing for Case Studies 19. Chapter 15: Appendix 20. Other Books You May Enjoy

Introduction to pandas Series

In Chapter 5, Data Selection – DataFrames, we introduced several ways you can select data from pandas DataFrames. While a pandas Series can be thought of as a single column of a pandas DataFrame, it is a separate data structure. In this chapter, we are going to learn how to select data from a Series in detail. The key methods, such as .loc[] and .iloc[], will still apply to a one-dimensional Series, as well as some of the more advanced methods such as Boolean indexing and extended indexing. Now that you have mastered the methods you can apply to DataFrames, learning about Series will be very similar and intuitive. Toward the end of this chapter, we will spend some time understanding the differences between pandas and base Python regarding selecting data. This will reinforce some of the ideas and methods you have learned about. Conceptually, the same ideas we used to select elements from a DataFrame can be used to select elements from a Series....

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