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
About the Author
About the Reviewers
Finding Help and Information

Stacking histograms

A more interesting type of histogram plot shows the distribution of some quantity with a second distribution stacked on top. This provides a quick way to visually compare two distributions. The values of the second distribution are measured not from the axis, but from the top of the box showing the first distribution. The following figure shows a stacking histogram:

You might have noticed that the information printed in the legend on the upper-right corner is not very descriptive. This is the default; in the next chapter, you will learn how to change it to whatever you want.

Getting ready

We are going to reuse our datafile parabolaCircles.text.

How to do it…

The script that produced the stacked histogram is as follows:

set style fill solid 1.0 border lt -1
set style data histograms
set style histogram rowstacked
plot [0:40] 'parabolaCircles.text' using (-$2),\'' using (20*$3) notitle

How it works…

The first line requests histogram bars filled with a solid color, and with a black border. Without this, the bars are plotted unfilled, which makes the plot more difficult to interpret.

The next two lines specify that data from files should be plotted using histograms; the rowstacked style means that data from each row in the file will be plotted together in one vertical stack.

In the last line, we have chosen to illustrate how to do simple calculations on data columns; the expression is enclosed in parentheses, the column number is preceded with a dollar sign, and the familiar Fortran or C type syntax works just the way you would expect. So we have flipped our parabola back "right side up" with a negative sign, and increased the magnitude of our random numbers by multiplying by 20. (This file was used to plot circles with random diameters in the Plotting circles recipe in this chapter. The random numbers were scaled to give appropriately sized circles, but are too small to give a good illustration of the stacked histogram here. Rather than generating new data, some simple arithmetic allows us to reuse the file.)