ANN: Veusz 0.9, a scientific plotting package

[Jeremy Sanders]

Veusz 0.9
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Velvet Ember Under Sky Zenith
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http://home.gna.org/veusz/

Veusz is Copyright (C) 2003-2006 Jeremy Sanders <jeremy at jeremysanders.net>
Licenced under the GPL (version 2 or greater)

Veusz is a scientific plotting package written in Python. It uses PyQt
for display and user-interfaces, and numarray for handling the numeric
data. Veusz is designed to produce publication-ready Postscript
output.

Veusz provides a GUI, command line and scripting interface (based on
Python) to its plotting facilities. The plots are built using an
object-based system to provide a consistent interface.

Changes from 0.8:
 Please refer to ChangeLog for all the changes.
 Highlights include:
  * Contour support (thanks to the code of the matplotlib guys!)
  * Undo/redo
  * Rubber band axis zooming
  * More flexible data importing

Features of package:
 * X-Y plots (with errorbars)
 * Contour plots
 * Images (with colour mappings)
 * Stepped plots (for histograms)
 * Line plots
 * Function plots
 * Fitting functions to data
 * Stacked plots and arrays of plots
 * Plot keys
 * Plot labels
 * LaTeX-like formatting for text
 * EPS output
 * Simple data importing
 * Scripting interface
 * Save/Load plots
 * Dataset manipulation
 * Embed Veusz within other programs

To be done:
 * UI improvements
 * Import filters (for qdp and other plotting packages, fits, csv)

Requirements:
 Python (probably 2.3 or greater required)
   http://www.python.org/
 Qt (free edition)
   http://www.trolltech.com/products/qt/  
 PyQt 3 (SIP is required to be installed first)
   http://www.riverbankcomputing.co.uk/pyqt/
   http://www.riverbankcomputing.co.uk/sip/
 numarray
   http://www.stsci.edu/resources/software_hardware/numarray
 Microsoft Core Fonts (recommended)
   http://corefonts.sourceforge.net/
 PyFITS (optional)
   http://www.stsci.edu/resources/software_hardware/pyfits

For documentation on using Veusz, see the "Documents" directory. The
manual is in pdf, html and text format (generated from docbook).

If you enjoy using Veusz, I would love to hear from you. Please join
the mailing lists at

https://gna.org/mail/?group=veusz

Cheers

Jeremy