MATLAB exported TikZ picture with custom stylingPapers and reports can’t do without both but integrating MATLAB figures in LaTeX is not so obvious. Different methods for exporting and including graphics exist but have various downsides like inconsistent scaling, wrong fonts and strange spacing. The best method I have come across so far is using matlab2tikz. It is a MATLAB script that is able to extract all relevant details out of a figure and convert it to PGFPlots (a LaTeX package).

The greatest benefits of using matlab2tikz instead of exporting and including graphics like png-, eps- and pdf-files are:

  • Plot style adapting to document style (fonts and colors)
  • Scaling, font-size, location of ticks and line-sizes independent of output figure size
  • Textual representation allows for efficient source management using Git of subversion
  • All vector figures for best quality and often lower file size

Matlab2Tikz also works with Octave, a free open-source and  MATLAB alternative that is largely compatible with the MATLAB syntax. Get yourself into Octave with the GNU Octave Beginner’s Guide.

Obtaining and including the scripts

The process is simple, first obtain a copy of the matlab2tikz scripts. If you have installed Git it is as simple as:

cd ~/Documents/MATLAB
git clone

Now start-up MATLAB and add the src folder of the script to your path, either visually or using the command:


Creating a simple figure

The scripts are now on your path so that the matlab2tikz and cleanfigure commands can be called.  First, a figure is made in MATLAB, then it is exported using matlab2tikz and finally the output size will be considered.

Creating a MATLAB figure

Let’s start with a simple figure:

t = linspace( 0, 0.1, 100 );
y = 325 * cos( 50 * 2 * pi * t );
plot( t, y, '-x' );
xlabel('Time (s)');
ylabel('Voltage (V)');

This creates a simple plot of something that could be called the voltage on a single-phase household electrical outlet. Why not add some more data to this plot?

y2 = 325 * cos( 55 * 2 * pi * t + 2/3 * pi );
hold on;
plot( t, y2, '-x' );
legend('Phase 1', 'Phase 2');

The resulting figure looks as follows:

MATLAB figure, native PNG

Exporting using matlab2tikz

While the figure is still opened, we can use the matlab2tikz function. The basic command is:


The first argument is the output filename. The result is saved to this file. Move the file to any place inside your LaTeX document to allow for including it.

Using the exported figure in your document

The matlab2tikz function is able to export either to TikZ figures for inclusion in documents or to standalone tex-files for testing the compiled output.

Two things are important: including the right packages and including the generated tex file the right way. To include the right packages ensure you have the following in the header of your document:

\pgfplotsset{plot coordinates/math parser=false}

Now include the figure in the document:

\caption{ My first matlab2tikz figure }

Compile your file and view the result! For testing it might be handy to export a standalone .tex file from MATLAB. This can be done using the following call:

matlab2tikz('myfigure.tex', 'standalone', true);

The resulting file is directly compilable.

Setting the width/height of the image

Setting a custom width and/or height is easy. Add the following pair to the matlab2tikz command in MATLAB:

matlab2tikz('myfigure.tex','width', '\fwidth' );

Then, in your LaTeX file, add the following in the header:


Now you can set the image width in the figure environment:

% remaining part of the image

The result looks as follows:

Matlab2tikz exported TikZ picture with custom styling

Reducing filesize using cleanfigure

All existing plot-points will be exported to the TikZ figure, this means that the output size can become really large when a lot of points and/or lines are present. Also, compilation becomes slower as the number of points in a TikZ figure increases. In the matlab2tikz package, a function cleanfigure is supplied as well. This function is able to reduce the number of plot points to improve the filesize of the exported figure.

Execute the following function before exporting using the export function:

cleanfigure('minimumPointsDistance', 0.1)

Choose a relevant value. You will see the result instantaneously so evaluating is easy.

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