Book Image

gnuplot Cookbook

By : Lee Phillips
Book Image

gnuplot Cookbook

By: Lee Phillips

Overview of this book

gnuplot is the world's finest technical plotting software, used by scientists, engineers, and others for many years. It is in constant development and runs on practically every operating system, and can produce output in almost any format. The quality of its 3d plots is unmatched and its ability to be incorporated into computer programs and document preparation systems is excellent. gnuplot Cookbook ñ it will help you master gnuplot. Start using gnuplot immediately to solve your problems in data analysis and presentation. Quickly find a visual example of the graph you want to make and see a complete, working script for producing it. Learn how to use the new features in gnuplot 4.4. Find clearly explained, working examples of using gnuplot with LaTeX and with your own computer programming language. You will master all the ins and outs of gnuplot through gnuplot Cookbook. You will learn to plot basic 2d to complex 3d plots, annotate from simple labels to equations, integrate from simple scripts to full documents and computer progams. You will be taught to annotate graphs with equations and symbols that match the style of the rest of your text, thus creating a seamless, professional document. You will be guided to create a web page with an interactive graph, and add graphical output to your simulation or numerical analysis program. Start using all of gnuplot's simple to complex features to suit your needs, without studying its 200 page manual through this Cookbook.
Table of Contents (18 chapters)
gnuplot Cookbook
Credits
About the Author
About the Reviewers
www.PacktPub.com
Preface
Finding Help and Information
Index

Introduction


The graphs we created in the previous chapter served the purpose of illustrating the various 2D plot styles, but they were all missing a few things. For a graph to be useful in the real world, it must be endowed with a title and various labels that explain what it is about and how to interpret its assorted plot elements.

In this chapter, we revisit the 2D graph, creating one with a few curves, two different y-axes, and shaded areas, and in each recipe, we add an additional informative decoration to the plot. The graph remains the same, but in each recipe it will acquire more detailed annotation. This chapter is all about how to make these annotations, not about the plotting itself.