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Python 3 and Data Visualization

You're reading from   Python 3 and Data Visualization Mastering Graphics and Data Manipulation with Python

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Product type Paperback
Published in Aug 2024
Publisher Mercury_Learning
ISBN-13 9781836645719
Length 281 pages
Edition 1st Edition
Languages
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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 (9) Chapters Close

Preface
1. Chapter 1: Introduction to Python 3 2. Chapter 2: NumPy and Data Visualization FREE CHAPTER 3. Chapter 3: Pandas and Data Visualization 4. Chapter 4: Pandas and SQL 5. Chapter 5: Matplotlib for Data Visualization 6. Chapter 6: Seaborn for Data Visualization 7. Index
Appendix: SVG and D3

PLOT A PIE CHART Matplotlib

Listing 5.21 displays the contents of piechart1.py that illustrates how to plot a pie chart in Matplotlib.

LISTING 5.21: piechart1.py

import numpy as np

# data to display on plots
x = [1, 2, 3, 4]

# explode the first wedge:
e =(0.1, 0, 0, 0)

plt.pie(x, explode = e)
plt.title("Pie chart")
plt.show()

Listing 5.21 contains an import statement followed by the variables x and e that are initialized as a list of numbers. The values for x are used to calculate the relative size of each “slice” of the pie chart, and the values for the variable e indicate that the first pie slice is “exploded” slightly (indicated by the value 0.1 in e). Launch the code in Listing 5.21 and you will see the pie chart displayed in Figure 5.18.

Images

FIGURE 5.18 A pie chart.

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