NAME

       pyxplot - a multi-purpose command-line data processing, vector graphics and graph-plotting tool.

SYNOPSIS

       pyxplot [file ...]

DESCRIPTION

       Pyxplot is a multi-purpose graph plotting tool, scientific scripting language, vector graphics suite, and
       data processing package.  Its interface is designed to make  common  tasks  --  e.g.,  plotting  labelled
       graphs of data -- accessible via short, simple, intuitive commands.

       But  these  commands also take many optional settings, allowing their output to be fine-tuned into styles
       appropriate for printed publications, talks or websites.  Pyxplot is simple enough  to  be  used  without
       prior  programming  experience, but powerful enough that programmers can extensively configure and script
       it.

       A SCIENTIFIC SCRIPTING LANGUAGE

       Pyxplot doesn't just plot graphs. It's a scripting language in which variables can have  physical  units.
       Calculations  automatically  return  results in an appropriate unit, whether that be kilograms, joules or
       lightyears.  Datafiles can be converted straightforwardly from one set of  units  to  another.  Meanwhile
       Pyxplot  has  all  the  other  features  of  a  scripting  language:  flow  control and branching, string
       manipulation, complex data types, an object-oriented class structure and straightforward  file  I/O.   It
       also  supports vector and matrix algebra, can integrate or differentiate expressions, and can numerically
       solve systems of equations.

       A VECTOR GRAPHICS SUITE

       The graphical canvas isn't just for plotting graphs on. Circles, polygons and ellipses can  be  drawn  to
       build  vector  graphics.  Colors  are a native object type for easy customisation. For the mathematically
       minded, Pyxplot's canvas  interfaces  cleanly  with  its  vector  math  environment,  so  that  geometric
       construction is easy.

       A DATA PROCESSING PACKAGE

       Pyxplot can interpolate data, find best-fit lines, and compile histograms. It can Fourier transform data,
       calculate statistics, and output results to new datafiles. Where fine control is needed, custom code  can
       be used to process every data point in a file.

       Examples   of   the  graphical  output  produced  by  Pyxplot  can  be  found  on  the  Pyxplot  website:
       <http://www.pyxplot.org.uk/>.

       Full documentation can be found in: /usr/share/doc/pyxplot/pyxplot.pdf

COMMAND LINE OPTIONS

         -h, --help:       Display this help.
         -v, --version:    Display version number.
         -q, --quiet:      Turn off initial welcome message.
         -V, --verbose:    Turn on initial welcome message.
         -c, --color:      Use colored highlighting of output.
         -m, --monochrome: Turn off coloured highlighting.

AUTHORS

       Dominic Ford <coders@pyxplot.org.uk>

BUGS AND USER FORUMS

       To report bugs in Pyxplot, or to meet other Pyxplot users in our forums, please visit us on  sourceforge:
       <http://sourceforge.net/projects/pyxplot/>.

CREDITS

       Matthew  Smith,  Michael  Rutter,  Zoltan Voros and John Walker have all contributed code to Pyxplot.  We
       welcome bug reports, which can be submitted to our project  page  on  Sourceforge,  and  thank  the  many
       testers who have already made significant contributions to the project by helping us to track down bugs.

SEE ALSO

       pyxplot_watch(1),gnuplot(1)

                                                                                                      PYXPLOT(1)