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Python Data Visualization Cookbook

You're reading from   Python Data Visualization Cookbook As a developer with knowledge of Python you are already in a great position to start using data visualization. This superb cookbook shows you how in plain language and practical recipes, culminating with 3D animations.

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Product type Paperback
Published in Nov 2013
Publisher Packt
ISBN-13 9781782163367
Length 280 pages
Edition 1st Edition
Languages
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Author (1):
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Igor Milovanovic Igor Milovanovic
Author Profile Icon Igor Milovanovic
Igor Milovanovic
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Table of Contents (15) Chapters Close

Python Data Visualization Cookbook
Credits
About the Author
About the Reviewers
www.PacktPub.com
Preface
1. Preparing Your Working Environment FREE CHAPTER 2. Knowing Your Data 3. Drawing Your First Plots and Customizing Them 4. More Plots and Customizations 5. Making 3D Visualizations 6. Plotting Charts with Images and Maps 7. Using Right Plots to Understand Data 8. More on matplotlib Gems Index

Drawing a simple sine and cosine plot


This recipe will go over basics of plotting mathematical functions and several things that are related to math graphs, such as writing Greek symbols in labels and on curves.

Getting ready

The most common graph we will use is the line plot command, which draws the given (x,y) coordinates on a figure plot.

How to do it...

We start with computing sine and cosine functions over the same linear interval—from Pi to Pi, with 256 points in between—and we plot the values for sin(x) and cos(x) over the same plot:

import matplotlib.pyplot as pl
import numpy as np

x = np.linspace(-np.pi, np.pi, 256, endpoint=True)

y = np.cos(x)
y1 = np.sin(x)

pl.plot(x,y)
pl.plot(x, y1)

pl.show()

That will give us the following graph:

Following this simple plot, we can customize more to give more information and be more precise about axes and boundaries:

from pylab import *
import numpy as np

# generate uniformly distributed
# 256 points from -pi to pi, inclusive
x = np.linspace(-np...
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