Book Image

Scientific Computing with Python 3

By : Claus Führer, Jan Erik Solem, Olivier Verdier
Book Image

Scientific Computing with Python 3

By: Claus Führer, Jan Erik Solem, Olivier Verdier

Overview of this book

Python can be used for more than just general-purpose programming. It is a free, open source language and environment that has tremendous potential for use within the domain of scientific computing. This book presents Python in tight connection with mathematical applications and demonstrates how to use various concepts in Python for computing purposes, including examples with the latest version of Python 3. Python is an effective tool to use when coupling scientific computing and mathematics and this book will teach you how to use it for linear algebra, arrays, plotting, iterating, functions, polynomials, and much more.
Table of Contents (23 chapters)
Scientific Computing with Python 3
Credits
About the Authors
About the Reviewer
www.PacktPub.com
Acknowledgement
Preface
References

Chapter 6. Plotting

Plotting in Python can be done with the pyplot part of the matplotlib module. With matplotlib you can create high-quality figures and graphics and also plot and visualize your results. Matplotlib is open source and freely available software, [21]. The matplotlib website also contains excellent documentation with examples, [35]. In this section, we will show you how to use the most common features. The examples in the upcoming sections assume that you have imported the module as:

from matplotlib.pyplot import *

In case you want to use the plotting commands in IPython, it is recommended that you run the magic command %matplotlib directly after starting the IPython shell. This prepares IPython for interactive plotting.