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Numpy Beginner's Guide (Update)

You're reading from   Numpy Beginner's Guide (Update) Build efficient, high-speed programs using the high-performance NumPy mathematical library

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Product type Paperback
Published in Jun 2015
Publisher
ISBN-13 9781785281969
Length 348 pages
Edition 1st 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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Toc

Table of Contents (16) Chapters Close

Preface 1. NumPy Quick Start FREE CHAPTER 2. Beginning with NumPy Fundamentals 3. Getting Familiar with Commonly Used Functions 4. Convenience Functions for Your Convenience 5. Working with Matrices and ufuncs 6. Moving Further with NumPy Modules 7. Peeking into Special Routines 8. Assuring Quality with Testing 9. Plotting with matplotlib 10. When NumPy Is Not Enough – SciPy and Beyond 11. Playing with Pygame A. Pop Quiz Answers B. Additional Online Resources C. NumPy Functions' References
Index

Time for action – animating plots

We will plot three random datasets and display them as circles, dots, and triangles. However, we will only update two of those datasets with random values.

  1. Plot three random datasets as circles, dots, and triangles in different colors:
    circles, triangles, dots = ax.plot(x, 'ro', y, 'g^', z, 'b.')
  2. This function gets called to update the screen regularly. Update two of the plots with new y values:
    def update(data):
        circles.set_ydata(data[0])
        triangles.set_ydata(data[1])
        return circles, triangles
  3. Generate random data with NumPy:
    def generate():
        while True: yield np.random.rand(2, N)

    The following is a snapshot of the animation in action:

    Time for action – animating plots

What just happened?

We created an animation of random data points (see animation.py):

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

fig = plt.figure()
ax = fig.add_subplot(111)
N = 10
x = np.random.rand(N)
y = np.random.rand(N)
z =...
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