Book Image

NumPy Beginner's Guide - Second Edition

By : Ivan Idris
Book Image

NumPy Beginner's Guide - Second Edition

By: Ivan Idris

Overview of this book

NumPy is an extension to, and the fundamental package for scientific computing with Python. In today's world of science and technology, it is all about speed and flexibility. When it comes to scientific computing, NumPy is on the top of the list. NumPy Beginner's Guide will teach you about NumPy, a leading scientific computing library. NumPy replaces a lot of the functionality of Matlab and Mathematica, but in contrast to those products, is free and open source. Write readable, efficient, and fast code, which is as close to the language of mathematics as is currently possible with the cutting edge open source NumPy software library. Learn all the ins and outs of NumPy that requires you to know basic Python only. Save thousands of dollars on expensive software, while keeping all the flexibility and power of your favourite programming language.You will learn about installing and using NumPy and related concepts. At the end of the book we will explore some related scientific computing projects. This book will give you a solid foundation in NumPy arrays and universal functions. Through examples, you will also learn about plotting with Matplotlib and the related SciPy project. NumPy Beginner's Guide will help you be productive with NumPy and have you writing clean and fast code in no time at all.
Table of Contents (19 chapters)
Numpy Beginner's Guide Second Edition
Credits
About the Author
About the Reviewers
www.PacktPub.com
Preface
Index

Time for action – using Matplotlib in Pygame


In this recipe we will take the position coordinates of the previous tutorial and make a graph from them. Perform the following steps to do so:

  1. Using a noninteractive backend: In order to integrate Matplotlib with Pygame we need to use a noninteractive backend, otherwise Matplotlib will present us with a GUI window by default. We will import the main Matplotlib module and call the use function. This function has to be called immediately after importing the main Matplotlib module and before other Matplotlib modules are imported.

    import matplotlib as mpl
        
    mpl.use("Agg")
  2. Noninteractive plots can be drawn on a Matplotlib canvas. Creating this canvas requires imports, creating a figure and a subplot. We will specify the figure to be 3 x 3 inches large. More details can be found at the end of this section.

    import matplotlib.pyplot as plt
    import matplotlib.backends.backend_agg as agg
    
    fig = plt.figure(figsize=[3, 3])
    ax = fig.add_subplot(111)
    canvas...