# Bell Curve/Gaussian Function/Normal Distribution in TikZ/PGF

Can anyone tell me how to plot a gaussian function/bell curve using TikZ/PGF? I'm basically looking to implement something like PSTricks's \psGauss command.

• great question and great solution, thank you! Some days ago I was searching for something like that but only found an example in the TikZ gallery which required gnuplot and did not work for me. – MostlyHarmless Apr 10 '11 at 11:27

You can use pgfplots to plot the functions. There's no standard macro for it, but the function isn't too complicated and can be added as a pgfmath function (based on this answer: How do I use pgfmathdeclarefunction to create define a new pgf function?):

\documentclass{article}
\usepackage{pgfplots}
\begin{document}

\pgfmathdeclarefunction{gauss}{2}{%
\pgfmathparse{1/(#2*sqrt(2*pi))*exp(-((x-#1)^2)/(2*#2^2))}%
}

\begin{tikzpicture}
\begin{axis}[every axis plot post/.append style={
mark=none,domain=-2:3,samples=50,smooth}, % All plots: from -2:2, 50 samples, smooth, no marks
axis x line*=bottom, % no box around the plot, only x and y axis
axis y line*=left, % the * suppresses the arrow tips
enlargelimits=upper] % extend the axes a bit to the right and top
\end{axis}
\end{tikzpicture}
\end{document} In my original answer, I had just declared a normal LaTeX function to the same end:

\documentclass{article}
\usepackage{pgfplots}
\begin{document}

\newcommand\gauss{1/(#2*sqrt(2*pi))*exp(-((x-#1)^2)/(2*#2^2))} % Gauss function, parameters mu and sigma

\begin{tikzpicture}
\begin{axis}[every axis plot post/.append style={
mark=none,domain=-2:3,samples=50,smooth}, % All plots: from -2:2, 50 samples, smooth, no marks
axis x line*=bottom, % no box around the plot, only x and y axis
axis y line*=left, % the * suppresses the arrow tips
enlargelimits=upper] % extend the axes a bit to the right and top

• Quick fix on the equation.. a bit messy but the post eqn did not work for me.. \newcommand\gauss{(1/(#2*(sqrt(2*pi))))*exp(-0.5*(((x-#1)/#2)^2))} % Gauss function, parameters mu and sigma – user14907 May 23 '12 at 19:56