How to use pgfplots in LaTeX

Before we start, the following packages and command are useful:

\usepackage{tikz} % To generate the plot from csv
\usepackage{pgfplots}
\pgfplotsset{compat=1.5}

Plotting data from .dat files in LaTeX

Using \addplot table

Ploting data directly from a .dat file. For example, if a file called data.dat has the data table shown as follows:

x	f(x)
3.16693000e-05	-4.00001451e+00
1.00816962e-03	-3.08781504e+00
1.98466995e-03	-2.88058811e+00
2.96117027e-03	-2.75205040e+00
3.93767059e-03	-2.65736805e+00
4.91417091e-03	-2.58181091e+00
5.89067124e-03	-2.51862689e+00
6.86717156e-03	-2.46413745e+00
....

Using the following commands can generate the plots automatically.

\begin{tikzpicture}
\begin{axis}[
  title = {Picture 1},  % whatever name you want
  xlabel = {$x$},
  ylabel = {$y$},
  ymin = -3, ymax = 3,
  minor y tick num = 1,]
  \addplot[blue] table {data.dat};
\end{axis}
\end{tikzpicture

Then the corresonding plot will be:

REMARK:

• \begin{axis}... \end{axis} is the environment for a normal axis.
• Axis descriptions can be added using the keys title, xlabel, ylabel as we have in our example listing.
• The keys ymin, ymax, xmin, xmax control only the visible part, i.e., the axis range.
• The third new option is minor y tick num = 1 which allows to customize minor ticks.
• \addplot[blue] means that the plot will be placed in blue color, \addplot table loads a table from a file and plots the first two columns. The keyword table also accepts an option list (for example, to choose columns, to define a different col sep or row sep or to provide some math expression which is applied to each row).

Using \addplot expression

Of course, we can also use another way to generate a plot. More precisely, \addplot expression can make it. For example:

\begin{tikzpicture}
\begin{axis}
  % density of Normal distribution:
  \newcommand\MU{0}
  \newcommand\SIGMA{1e-3}
  \addplot[red, domain = -3*\SIGMA: 3*\SIGMA, samples = 201,]
          {exp(-(x-\MU)^2 / 2 / \SIGMA^2) / (\SIGMA * sqrt(2*pi))};
\end{axis}
\end{tikzpicture}

The above commands can obtain the following plot:

REMARK:

• domain defines the sampling interval in the form a:b.
• samples = N expects the number of samples inserted into the sampling interval.
• Here the expression is the density of Normal distribution.

Dealing with multiple files simultaneously

We can read several data files at the same time and then plot them into one picture.
For example, if we have three data files, each of them corresponds to one parameter d, which could be 2, 3 or 4.
The data file for d = 2 is stored in data_d2.dat and it contains the following data:

The other files are similar.

If we wnat to produce a loglog plot, the following commands can make this happen:

\begin{tikzpicture}
\begin{loglogaxis}[
  title = {Convergence Plot},
  xlabel = {Degrees of freedom},
  ylabel = {$L_2$ Error},
  grid = major,
  legend entries = {$d=2$, $d=3$, $d = 4$},]
  \addplot table {data_d2.dat};
  \addplot table {data_d3.dat};
  \addplot table {data_d4.dat};
\end{loglogaxis}
\end{tikzpicture}

Here is the result:

REMARK:

• We used \begin{loglogaxis} instead of \begin{axis} in order to configure logarithmic scales on both axes.
• The plot contains grid lines since we used the grid = major key.
• A legend can be provided for one or more \addplot statements using the legend entries key.
• pgfplots accepts more than one \addplot ... ; command, so we can just add our remaining data files.
• We do not need to worry about the line styles, since pgfplots will automatically choose styles for that specific plot.

3D Scatter Plots

This is similar to two dimensional plot.
For example, if we have a file called data_3d.dat which contains the following data:

Using the below commands can obtain the desired plot:

\begin{tikzpicture}
\begin{axis}[
  xlabel = $x$,
  ylabel = $y$,
  zlabel = {$f(x,y) = x \cdot y$},
  title = {A Scatter Plot Example},]
  \addplot3+[only marks, scatter] table {data_3d.dat};
\end{axis}
\end{tikzpicture}

REMARK:

• The \addplot3 command is the main interface for any three dimensional plot.
• only marks places the current plot mark at each input position.
• If we add the key scatter, the plot mark will also use the colors of the current colormap.

Plotting data from .csv files in LaTeX

Similar to .dat file, we can also use \addplot table to import data from .csv file. Let’s use the previos skills to deal with a relatively more complex example.

Here is data from data.csv file:

people	probability
0	0.000000
1	0.000000
2	0.002740
3	0.008204
4	0.016356
5	0.027136
…	…

Then the following commands can help us obtain the below plot:

\begin{tikzpicture}
\begin{axis}[
  width=15cm, height=8cm,  % size of the image
  grid = major,
  grid style = {dashed, gray!30},
  % xmode=log,log basis x=10,
  % ymode=log,log basis y=10,
  xmin = 0,   % start the diagram at this x-coordinate
  xmax = 62,  % end   the diagram at this x-coordinate
  ymin = 0,   % start the diagram at this y-coordinate
  ymax = 1.1, % end   the diagram at this y-coordinate
  /pgfplots/xtick = {0,5,...,60},  % make steps of length 5
  extra x ticks = {23},
  extra y ticks = {0.507297},
  axis background/.style = {fill=white},
  ylabel = {probability of at least one birthday-collision},
  xlabel = {people},
  tick align = outside,]
  
  % import the correct data from a CSV file
  \addplot table {data.csv};

  % mark x=23
  \coordinate (a) at (axis cs:23, 0.507297);
  \draw[blue, dashed, thick](a -| current plot begin) -- (a);
  \draw[blue, dashed, thick](a |- current plot begin) -- (a);

  % plot the stirling-formulae
  \addplot[domain=0:60, red, thick] {1-(365/(365-x))^(365.5-x)*e^(-x)}; 
\end{axis} 
\end{tikzpicture}

For more details about the package pgfplots, please download the pdf tutorial Manual for Package PGFPLOTS as a reference.