[SciPy-user] ANN: Veusz 0.5 - a scientific plotting package

[Jeremy Sanders]

Veusz 0.5
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Velvet Ember Under Sky Zenith
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http://home.gna.org/veusz/

Veusz is Copyright (C) 2003-2005 Jeremy Sanders <jeremy at jeremysanders.net>
Licenced under the GPL (version 2 or greater)

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.

Changes from 0.4:
  Installation:
   * distutils used to install the package. RPMS available.
  Plotting:
   * Different error bar styles (diamond, curve...)
   * "Matched" axes, with the same scale on each
   * Data can be linked from external files instead of embedded in
     document
   * Filled regions under/over functions or xy plots
   * Improved function clipping near edge of plot
   * Default values can be set for settings, which are remembered
     between sessions (e.g. blue points for xy3).
   * Rotated text labels
   * Improved fitting, giving results from chi2, etc..
  UI:
   * Can move around widgets and delete them
   * Exception dump dialog to send bug reports
   * Improved import dialog help
   * Propagate settings between widgets
   * Window positions are saved between sessions
  Reading data:
   * Better error handling when reading data
  + Numerous bug fixes

Features of package:
  * X-Y plots (with errorbars)
  * 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

To be done:
  * Contour plots
  * Images
  * 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]

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