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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

PLOT BAR CHARTS IN MATPLOTLIB

Listing 5.19 displays the content of barchart1.py that illustrates how to plot a bar chart in Matplotlib.

LISTING 5.19: barchart1.py

import matplotlib.pyplot as plt

x = [3, 1, 3, 12, 2, 4, 4]
y = [3, 2, 1, 4, 5, 6, 7]

plt.bar(x, y)

plt.title("Bar Chart")
plt.legend(["bar"])
plt.show()

Listing 5.19 contains an import statement followed by the variables x and y that are initialized as a list of numbers. Next, the bar chart is generated by invoking the bar() method of the plt class. The final block of code sets the title and legend for the bar chart and then displays the bar chart. Launch the code in Listing 5.19, and you will see the pie chart displayed in Figure 5.16.

Images

FIGURE 5.16 A bar chart using Matplotlib

Listing 5.20 displays the content of barchart2.py that illustrates how to plot a bar chart in Matplotlib.

LISTING 5.20: barchart2.py

import matplotlib.pyplot as plt

plt.bar([0.25,1.25,2.25,3.25,4.25],
        [50,40,70,80,20...
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