11-10-2005
Vi and emacs.
For simplicity, there is nothing like vi. vim does a good job highlighting stuff and is more powerful.
But I think for syntax highlighting emacs is better. But I hate to use xemacs, since I have to run into X which kills time.
Sai.
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LEARN ABOUT DEBIAN
pyxplot
PYXPLOT(1) General Commands Manual PYXPLOT(1)
NAME
pyxplot - a commandline data processing, graph plotting, and vector graphics suite.
SYNOPSIS
pyxplot [file ...]
DESCRIPTION
PyXPlot is a multi-purpose command-line tool for performing simple data processing and for producing graphs and vector graphics. The cen-
tral philosophy of PyXPlot's interface is that common tasks -- for example, plotting labelled graphs of data -- should be accessible via
short, simple and intuitive commands which require minimal typing to produce a first draft result. At the same time, these commands also
take a sufficient range of optional arguments and settings to allow these figures to be subsequently fine-tuned into a wide range of dif-
ferent styles, appropriate for inclusion in reports, talks or academic journals.
As well as being a graph-plotting package, PyXPlot also has facilities for fitting mathematical functions to data, for numerically solving
simple systems of equations, and for converting datafiles between different formats. Its mathematical environment can interpolate datasets,
integrate and differentiate them, and take Fourier transforms. PyXPlot's ability to keep track of the physical units in which data are
expressed, and to convert data between different units of measurement, mean that it can be used as a powerful desktop calculator.
PyXPlot's interface bears some striking similarities to that of Gnuplot. Specifically, the commands used for plotting simple graphs in the
two programs are virtually identical, though the syntax used for more advanced plotting often differs and PyXPlot's mathematical environ-
ment is hugely extended over that of Gnuplot. This means that Gnuplot users will have a head start with PyXPlot: simple Gnuplot scripts
will often run in PyXPlot with minimal modification.
A number of examples of the graphical output which PyXPlot can produce may 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, --colour: Use coloured highlighting of output.
-m, --monochrome: Turn off coloured highlighting.
AUTHORS
Dominic Ford, Ross Church and Zoltan Voros <coders@pyxplot.org.uk>
CREDITS
Thanks to Dave Ansell, Rachel Holdforth, Stuart Prescott, Michael Rutter and Matthew Smith, all of whom have made substantial contributions
to the development of PyXPlot.
SEE ALSO
pyxplot_watch(1),gnuplot(1)
PYXPLOT(1)