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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
Author Profile Icon Oswald Campesato
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

PLOTTING MULTIPLE LINES IN MATPLOTLIB

Listing 5.15 displays the content of plt_array2.py that illustrates the ease with which you can plot multiple lines in Matplotlib.

LISTING 5.15: plt_array2.py

import matplotlib.pyplot as plt

x = [7,11,13,15,17,19,23,29,31,37]
data = [[8, 4, 1], [5, 3, 3], [6, 0, 2], [1, 7, 9]]
plt.plot(data, 'd-')
plt.show()

Listing 5.15 defines the array data that contains a hard-coded set of values. The Pyplot API plot() uses the variable data to display a line segment. Figure 5.12 displays multiple lines based on the code in Listing 5.15.

Images

FIGURE 5.12 Multiple lines in Matplotlib

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