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NumPy Beginner's Guide

You're reading from   NumPy Beginner's Guide An action packed guide using real world examples of the easy to use, high performance, free open source NumPy mathematical library.

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Product type Paperback
Published in Apr 2013
Publisher Packt
ISBN-13 9781782166085
Length 310 pages
Edition 2nd Edition
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Author (1):
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Ivan Idris Ivan Idris
Author Profile Icon Ivan Idris
Ivan Idris
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Table of Contents (19) Chapters Close

Numpy Beginner's Guide Second Edition
Credits
About the Author
About the Reviewers
www.PacktPub.com
Preface
1. NumPy Quick Start FREE CHAPTER 2. Beginning with NumPy Fundamentals 3. Get in Terms with Commonly Used Functions 4. Convenience Functions for Your Convenience 5. Working with Matrices and ufuncs 6. Move Further with NumPy Modules 7. Peeking into Special Routines 8. Assure Quality with Testing 9. Plotting with Matplotlib 10. When NumPy is Not Enough – SciPy and Beyond 11. Playing with Pygame Pop Quiz Answers Index

Time for action – plotting a polynomial and its derivative


Let’s plot a polynomial and its first order derivative using the derive function with m as 1. We already did the first part in the previous Time for action tutorial. We want to have two different line styles to be able to discern what is what.

  1. Create and differentiate the polynomial.

    func = np.poly1d(np.array([1, 2, 3, 4]).astype(float))
    func1 = func.deriv(m=1)
    x = np.linspace(-10, 10, 30)
    y = func(x)
    y1 = func1(x)
  2. Plot the polynomial and its derivative in two different styles: red circles and green dashes. You cannot see the colors in a print copy of this book so you will have to try it out for yourself.

    plt.plot(x, y, 'ro’, x, y1, 'g--’)
    plt.xlabel('x’)
    plt.ylabel('y’)
    plt.show()

    The graph again with polynomial coefficients 1, 2, 3, and 4:

What just happened?

We plotted a polynomial and its derivative using two different line styles and one call of the plot function (see polyplot2.py):

import numpy as np
import matplotlib.pyplot as plt...
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