How to use two y axis in gnuplot?
Gnuplot can have two different y-axes and two different x-axes. In order to define a second y-axis, use the y2tics command; the first parameter is the starting value at the bottom of the graph, and the second is the interval between tics on the axis.
How to change the color of lines in gnuplot?
Gnuplot can change the color of a line or point based on the values of the data. As usual, there are three ways to do this: explicitly (using the rgb keyword), by indexed lookup (using an integer index), and using a gradient (with the palette keyword).
How the plot generated by gnuplot may be saved in a file?
There are two ways to save your work in gnuplot: you can save the gnuplot commands used to generate a plot, so that you can regenerate the plot at a later time. Or you can export the graph to a file in a standard graphics file format, so that you can print it or include it in web pages, documents, or presentations.
Can I use multiple axes on the same plot in gnuplot?
On the other hand, gnuplot’s default behavior for axes-related options is adequate in almost all situations, so explicit customization is rarely required. One topic deserves special consideration: the use of multiple axes on the same plot. We’ll discuss this first.
How to calculate max_x value in gnuplot?
The variables MAX_X can be precalculated by using the stats command in gnuplot 4.6+, or you can put them in manually. Thanks for contributing an answer to Stack Overflow!
Can I use the second y-axis to plot multiple datasets?
As andyras wrote, you can use the second y-axis if you only have two datasets. In this case, you also need to to If you want to plot more than one dataset, I would suggest to use multiplot.
How to normalize multiple things on the same y axis?
If you want more than two things plotted on the same y axes you have to normalize things yourself: The variables MAX_X can be precalculated by using the stats command in gnuplot 4.6+, or you can put them in manually. Thanks for contributing an answer to Stack Overflow!