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

Formatting


The appearance of figures and plots can be styled and customized to look how you want them to look. Some important variables are linewidth, which controls the thickness of plot lines; xlabelylabel, which set the axis labels, color for plot colors, and transparent for transparency. This section will tell you how to use some of them. The following is an example with more keywords:

k = 0.2
x = [sin(2*n*k) for n in range(20)]
plot(x, color='green', linestyle='dashed', marker='o', 
                       markerfacecolor='blue', markersize=12, linewidth=6)

There are short commands that can be used if you only need basic style changes, for example, setting the color and line style. The following table (Table 6.1) shows some examples of these formatting commands. You may use either the short string syntax plot(...,'ro-'), or the more explicit syntax plot(..., marker='o', color='r', linestyle='-').

Table 6.1: Some common plot formatting arguments

To set the color to green...