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Data Literacy With Python

You're reading from   Data Literacy With Python A Comprehensive Guide to Understanding and Analyzing Data with Python

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Product type Paperback
Published in Jul 2024
Publisher Mercury_Learning
ISBN-13 9781836640097
Length 271 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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Toc

Table of Contents (9) Chapters Close

Preface
1. Chapter 1: Working With Data 2. Chapter 2: Outlier and Anomaly Detection FREE CHAPTER 3. Chapter 3: Cleaning Datasets 4. Chapter 4: Introduction to Statistics 5. Chapter 5: Matplotlib and Seaborn 6. Index
Appendix A: Introduction to Python 1. Appendix B: Introduction to Pandas

CUBED NUMBERS IN MATPLOTLIB

Listing 5.4 displays the contents of cubed_numbers.py that illustrates how to plot a set of points using Matplotlib.

Listing 5.4: cubed_numbers.py

import matplotlib.pyplot as plt

plt.plot([1, 2, 3, 4], [1, 8, 27, 64])

plt.axis([0, 5, 0, 70])
plt.xlabel("Integers (1-4)")
plt.ylabel("Cubed Integers")
plt.show()

Listing 5.4 plots a set of integer-valued points whose x-coordinate is between 1 and 4 inclusive and whose y-coordinate is the cube of the corresponding x-coordinate. The code sample also labels the horizontal axis and the vertical axis. Figure 5.1 displays these points in Listing 5.4.

image

FIGURE 5.1 A graph of cubed numbers.

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