Also notice how we brought the y label of the left axis ( sin(x) ) closer, compared to the previous plot. Here the left one is bigger then the right one. Notice that now we don’t have to have the same width or height in the graphs. Where we manually defined the position in sub-plot in lines 2 and 16. Print -dpng -color "-S500,500" subplots2.png Where x, y, width and height are all normalized to 1. Try it for yourself, and you will see that the axis labels will not be there! To fit everything, and thus manage to make the figure smaller, you have to play a little bit with the position of the sub-plot. The truth is that I did it because they simply couldn’t fit. You might have thought that I did it because I had two plots, and I wanted to plot them in a larger area. Sin(x) and exp(x) plotted in two sub-plots Fit things in placeĭid you notice how I quietly changed the size from 500,500 to 800,600 in the previous section. Print -dpng -color "-S800,600" subplots.png To make the plot a little better, we also removed the box (line 5 and 16), and changed the number of xticks (line 4 and 15) The first two are the number of rows and columns to use, and the last one is the number of the current plot. This will divide the plotting area in rows and columns, It takes three arguments. An easy way to implement this is by using the subplot function. Most of the times, you need a figure that consists of sub-figures. It is worth taking a look at the text properties and axis properties, in case you want to do something more advanced. Plot with increased line width in plot and axis, and with bold font for axis numbers and x,y labels Print -dpng -color "-S500,500" linewidth.png %get axes handle to use for setting properties To do so, we must first get the current axes handle (line 11) and then use it to change the corresponding axes properties in line 12.
![gnu octave size gnu octave size](https://static.lwn.net/images/2020/octave-guirun.png)
Last but not least, we have to change the axis width and font size. We could also change the font size (commented lines 5 and 7). To make it better, we increase the width of the plotted line (line 3) and then make x and y label bold (line 6 and 8). Increase line width axes width and text font-weight, and size.Īssuming the 500,500 is the right size, we still need to find a way to make the line thicker, since the thickness of the line in the default plot is not visually pleasant. To big, if resized the plot line, axis and text becomes very small. The size it to small for the plot to fit. The first plot seems very small, and the last one pretty big. To set the size, you can use “-Sxsize,ysize” In this way, when you make a line thicker, you can immediately do a visual inspection to decide if it is good enough. You might save a lot of time, if you decide on the size early on. Try avoiding spending 20 minutes figuring out why the command doesn’t have any effect, only to find out that it does have an effect, but it is not visible on the screen. Some commands, like changing the font size, or working with TeX, might not have an effect on the screen, while looking fine on the file. Take a look at the file you are working on. If you want more, a complete list of the printing devices can be found in the gnu-octave manual. eps output, and you run Linux, then you can open a terminal, go the the folder that you have the file, and type
![gnu octave size gnu octave size](https://static.javatpoint.com/tutorial/matlab/images/working-with-variables-and-arrays-in-matlab.png)
If none of them is as good as you like, but you like the. In short, if the one doesn’t work, try the other.
#GNU OCTAVE SIZE PDF#
The second one, -dpdfwrite “Produces pdf output from eps”, so it might give different results. Notice the there are two different ways to save pdf files. I added -color, since I assume that you don’t want black and white plots, and finally file.eps is the name of the file. So if you want to save a plot in a file called file.eps, you simply type: doesn’t embed them though, so here I use. I tend to go for vector graphics, since they are very good in zooming in and out without loosing quality. Both have their advantages and disadvantages. What file do you want? Do you prefer vector graphics, like. Here are some tips, with the accompanied examples and code, that might prove helpful if you want to make publishing quality plots in octave. Octave can be a great tool for producing nice plots, but exporting them in a file can sometimes be a hassle.