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mpl_binutils

This is mpl_binutils, a command-line front-end for matplotlib line-plotting.

Dependencies

You will need:

Installing mpl_binutils

To install, execute the following commands from the source root

$ chmod u+x mpl-graph  # makes the script executable by you
$ cp mpl-graph /usr/local/bin/  # put the script in a sensible place

You should copy the mpl-graph script to a directory that is in your PATH environment variable.

For completeness, mpl-graph comes with a man page too. You can install it in much the same way as the executable described above, into a directory in your MANPATH variable. From the repository root, execute

$ cp docs/mpl-graph.3 /usr/local/share/man/man3/
$ gzip /usr/local/share/man/man3/mpl-graph.3

Use of /usr/local/share is just an example. Anywhere that is in your MANPATH will do. To view the man page, execute

$ man mpl-graph

Using mpl_binutils

To learn how to use mpl-graph, execute

$ mpl-graph --help

for usage information. You should get output like the following

Usage: mpl-graph [options] <file>
       mpl-graph --help
       mpl-graph --version

Options:
    -a, --auto-abscissa             Automatically generate the abscissa
    -T, --output-format=<filetype>  Specify output filetype [default: pdf]
    -f, --font-size=<fontsize>      Set font size for ticks and labels
    -g, --grid                      Turn on grid
    -W, --line-width=<linewidth>    Set line-width of plotted lines
    -m, --line-mode=<linemode>      Value from 1-4 specifying line style [default: 1]
    -k, --tick-size=<ticksize>      Set tick length
    -l, --toggle-log-axis=<axes>    Toggle log axis for the given comma-separated list of axes
    -s, --size-of-plot=<size>       Specify plot size in inches: width,height
    -N, --toggle-no-ticks=<axes>    Turn off ticks for the given comma-separated list of axes
    -C, --color=<color>             Set line color
    -L, --top-label=<title>         Set plot title
    -x, --x-limits=<xlimits>        Specify x-axis limits: xmin,xmax,xnum
    -y, --y-limits=<ylimits>        Specify y-axis limits: ymin,ymax,ynum
    -X, --x-label=<xlabel>          Specify x-axis label
    -Y, --y-label=<ylabel>          Specify y-axis label
    --title-font-size=<titlesize>   Set font size of the axes title
    --tight                         Make the figure use most available whitespace

The interface is very similar to that of the graph utility in GNU plotutils.

Plotting ASCII text files

The following bash commands show an explicit example of mpl-graph usage.

$ cat << EOF > data.dat
> 1.0 0.0
> 2.0 1.0
> 3.0 2.0
EOF
$ mpl-graph -T pdf -s 6,6 -x 1,4 -y 0,3 -X 'x label' -Y 'y label' data.dat > plot.pdf

Plotting HDF5 datasets

The example above shows how to plot a text file. HDF5 files are also supported but boast a slightly different syntax.

$ mpl-graph -T pdf filename:/path/to/dataset > plot.pdf

A single colon followed by a forward slash delimits the the name of the file and the path to the dataset inside the HDF5 file. For example, to plot the /group1/group2/my_dataset dataset in the file called my_data.h5, one would execute:

$ mpl-graph -T pdf my_data.h5:/group1/group2/dataset > plot.pdf

To plot without the --auto-abscissa option, the dataset must be two dimensional, with the first dimension being an array of abscissa, and the second dimension being the array of line data to be plotted. If, instead, the --auto-abscissa option is provided, the dataset must be one-dimensional (an array) containing only the line data to be plotted.

Contributing

There are plenty of things to do to contribute. The main goal is to mimic most of the functionality of the GNU plotutils graph utility, of which there is ample. Support for several files (and even file types!) is yet to be implemented. Lastly, and probably most importantly, validation on the passed command-line options should be more strict. mpl-graph should be helpful to the user and should fail gracefully. Currently it does not.

The branching model used for mpl_binutils can be found here.

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A command-line front-end to matplotlib for quick line-plotting

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