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Python 3 Data Visualization Using ChatGPT / GPT-4

You're reading from   Python 3 Data Visualization Using ChatGPT / GPT-4 Master Python Visualization Techniques with AI Integration

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Product type Paperback
Published in Aug 2024
Publisher Mercury_Learning
ISBN-13 9781836649250
Length 314 pages
Edition 1st Edition
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Authors (2):
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Mercury Learning and Information Mercury Learning and Information
Author Profile Icon Mercury Learning and Information
Mercury Learning and Information
Oswald Campesato Oswald Campesato
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Oswald Campesato
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Table of Contents (10) Chapters Close

Preface
1. Chapter 1: Introduction to Python 2. Chapter 2: Introduction to NumPy FREE CHAPTER 3. Chapter 3: Pandas and Data Visualization 4. Chapter 4: Pandas and SQL 5. Chapter 5: Matplotlib and Visualization 6. Chapter 6: Seaborn for Data Visualization 7. Chapter 7: ChatGPT and GPT-4 8. Chapter 8: ChatGPT and Data Visualization 9. Index

CHAPTER 3

PANDAS AND DATA VISUALIZATION

This chapter introduces the Pandas library and contains various code samples that illustrate some useful Pandas features. As you will see, the title of each section clearly indicates its contents, so you can easily scan this chapter for those sections that contain material that is new to you. This approach will help you make efficient use of your time when you read the contents of this chapter.

The first part of this chapter contains a brief introduction to Pandas, followed by code samples that illustrate how to define Pandas DataFrames and also display their attributes. Please keep in mind that this chapter is devoted to Pandas DataFrames. There is one code block that illustrates how to define a Pandas Series, and if you want to learn more about this Pandas Series, you can search online for more information.

The second part of this chapter discusses various types of DataFrames that you can create, such as numeric and Boolean DataFrames. In addition...

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