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)