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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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Toc

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

HORIZONTAL LINES IN Matplotlib

Listing 5.5 displays the contents of hlines1.py that illustrates how to plot horizontal lines using Matplotlib. Recall that the equation of a non-vertical line in the 2D plane is y = m*x + b, where m is the slope of the line and b is the y-intercept of the line.

LISTING 5.5: hlines1.py

import numpy as np
import matplotlib.pyplot as plt

# top line
x1 = np.linspace(-5,5,num=200)
y1 = 4 + 0*x1

# middle line
x2 = np.linspace(-5,5,num=200)
y2 = 0 + 0*x2

# bottom line
x3 = np.linspace(-5,5,num=200)
y3 = -3 + 0*x3

plt.axis([-5, 5, -5, 5])
plt.plot(x1,y1)
plt.plot(x2,y2)
plt.plot(x3,y3)
plt.show()

Listing 5.5 uses the np.linspace() API in order to generate a list of 200 equally spaced numbers for the horizontal axis, all of which are between -5 and 5. The three lines defined via the variables y1, y2, and y3, are defined in terms of the variables x1, x2, and x3, respectively.

Figure 5.2 displays three horizontal line segments whose equations are contained in...

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