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_ _ PYXPLOT _ __ _ ___ ___ __ | | ___ | |_ Version 0.9.2 | '_ \| | | \ \/ / '_ \| |/ _ \| __| 19/09/2012 | |_) | |_| |> <| |_) | | (_) | |_ | .__/ \__, /_/\_\ .__/|_|\___/ \__| Copyright (C) 2006-2012 Dominic Ford |_| |___/ |_| 2008-2012 Ross Church For documentation and more information, see <http://www.pyxplot.org.uk>. ----- 1. INTRODUCTION 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/>. 2. SYSTEM REQUIREMENTS Pyxplot works on most UNIX-like operating systems. We have tested it under Linux, Solaris and MacOS X, and believe that it should work on other similar POSIX systems. We regret that it is not available for Microsoft Windows, and have no plans for porting it at this time. It requires that the following software packages (not included) be installed: - fftw (version 2 or, preferably, 3+) - gcc and make - Ghostscript - The Gnu Scientific Library (version 1.10+) - ImageMagick - LaTeX (version 2e) - libpng (version 1.2+) - libxml2 (version 2.6+) - zlib It is also strongly recommended that the following software packages be installed: - cfitsio -- required for Pyxplot to be able to plot datafiles in FITS format. - Ghostview (or ggv) -- required for Pyxplot to be able to display plots live on the screen; Pyxplot remains able to generate image files on disk without it. Alternatively, the set viewer within Pyxplot allows a different postscript viewer to be used. - gunzip -- required for Pyxplot to be able to plot compressed datafiles in .gz format. - The Gnu Readline Library (version 5+) -- required for Pyxplot to be able to provide tab completion and command histories in Pyxplot's interactive command-line interface. - libkpathsea -- required to efficiently find the fonts used by LaTeX. - wget -- required for Pyxplot to be able to plot datafiles directly from the Internet. Debian and Ubuntu users can find the above software in the following packages: fftw3-dev, gcc, ghostscript, gv, imagemagick, libc6-dev, libcfitsio3-dev, libgsl0-dev, libkpathsea-dev, libpng12-dev, libreadline-dev, libxml2-dev, make, texlive-latex-extra, texlive-latex-recommended, texlive-fonts-extra, texlive-fonts-recommended, wget, zlib1g-dev. These packages may be installed from a command prompt by typing, all on one line: sudo apt-get install fftw3-dev gcc ghostscript gv imagemagick libc6-dev libcfitsio3-dev libgsl0-dev libkpathsea-dev libpng12-dev libreadline-dev libxml2-dev make texlive-latex-extra texlive-latex-recommended texlive-fonts-extra texlive-fonts-recommended wget zlib1g-dev Users of MacOS X can find the above software in the following MacPorts packages: cfitsio, fftw-3, ghostscript, gsl-devel, gv, ImageMagick, libpng, libxml2, readline-5, texlive, wget, zlib. It may then be necessary to run the command export C_INCLUDE_PATH=/opt/local/include before running the configure script below. 3. INSTALLATION FROM SOURCE ARCHIVE First, download the required archive can be downloaded from the front page of Pyxplot website -- <http://www.pyxplot.org.uk>. It is assumed that the packages listed above have already been installed; if they are not, you will need to either install them yourself, if you have superuser access to your machine, or contact your system administrator. * Unpack the distributed .tar.gz: tar xvfz pyxplot_0.9.2.tar.gz cd pyxplot * Run the installation script: ./configure make * Finally, start Pyxplot: ./bin/pyxplot 3A. SYSTEM-WIDE INSTALLATION Having completed the steps described above, Pyxplot may be installed system-wide by a superuser with the following additional step: sudo make install By default, the Pyxplot executable installs to /usr/local/bin/pyxplot. If desired, this installation path may be modified in the file Makefile.skel, by changing the variable USRDIR in the first line to an alternative desired installation location. Pyxplot may now be started by any system user, simply by typing: pyxplot 4. FURTHER INFORMATION Full documentation can be found in doc/pyxplot.tex , or in doc/pyxplot.pdf after installation. This document is alternatively available from the Pyxplot website: <http://www.pyxplot.org.uk/>. ---- Dominic Ford Ross Church
Source: README, updated 2012-09-19

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