ANN: Veusz 0.4 released (scientific plotting package)

Jeremy Sanders jeremysanders at gmail.com
Sun Mar 13 22:40:09 CET 2005


Veusz 0.4  [first public release]
---------
Velvet Ember Under Sky Zenith
-----------------------------
http://home.gna.org/veusz/
 
Veusz is a scientific plotting package written in Python (currently 100%
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.
 
Currently done:
 * X-Y plots (with errorbars)
 * Stepped plots (for histograms)
 * Line plots
 * Function plots
 * 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
 * Some work on a manual and introduction
 
To be done:
 * Contour plots
 * Images
 * Filled regions
 * UI improvements
 * Import filters (for qdp and other plotting packages, fits, csv)
 * Data manipulation
 * Python embedding interface (for embedding Veusz in other programs).
   [some of the external interface is complete]
 * Proper installation program
 
Requirements:
 Python (probably 2.3 or greater required)
   http://www.python.org/
 Qt (free edition)
   http://www.trolltech.com/products/qt/
 PyQt (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/
 
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
 
to discuss new features or if you'd like to contribute code. The newest
code can always be found in CVS.
 
Cheers
 
Jeremy
 
Veusz is Copyright (C) 2003-2005 Jeremy Sanders <jeremy at jeremysanders.net>
Licenced under the GPL (version 2 or greater)
 


More information about the Python-announce-list mailing list