#### 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.
gnuplot Cookbook
Credits
www.PacktPub.com
Preface
Free Chapter
Plotting Curves, Boxes, Points, and more
Annotating with Labels and Legends
Applying Colors and Styles
Combining Multiple Plots
Programming gnuplot and Dealing with Data
The Third Dimension
Using and Making Graphical User Interfaces
Surveying Special Topics
Finding Help and Information
Index

## Making a scatterplot

If you are in possession of a collection of measurements that, as is usually the case, is subject to random errors, an attempt to simply plot a curve through the measurements may result in a chaotic graph that will be difficult to interpret. In these cases, one usually begins with a scatterplot, which is simply a plot of a dot or small symbol at each data point. An examination of such a plot often leads to the discovery of correlations or patterns.

To make this recipe interesting, we need some slightly random-looking data. You may have some available, in which case you merely need to ensure that it is in a format that gnuplot can read. Simply arrange the data so that each line of the file contains one data point with space-separated x and y values:

```x1 y1
x2 y2
...```

Then name the file `scatter.dat`.

If you don't have such a file of your own handy, use the one called `scatter.dat` that we have provided. Make sure that the file is in the directory in which you have started gnuplot, so that the program can find it.

### Tip

Some of the recipes in this book will not work as intended if entered in the same interactive session unless you give the `reset` command first. This is because these scripts make settings that change gnuplot's default behavior.

Now simply tell gnuplot:

`plot 'scatter.dat' with points pt 7`

If you are using the file we provided, you will get a plot similar to the one shown in the previous figure.

### There's more…

You can plot the points using different symbols. Try `plot 'scatter.dat' with dots` to get the smallest dot available to your terminal. For use with scatterplots of very large datasets, try the following command:

`plot 'scatter.dat' with points pt n`

With different integers for `n`. `pt` stands for pointtype, and the different pointtypes available are dependent on your terminal. Simply type `test` in gnuplot to see a demonstration of all the pointtypes available for the currently selected terminal. You can find more about point and line styles in Chapter 3, Applying Colors and Styles.