|| ||Jeremy Sanders <jeremy+complangpythonannounce-AT-jeremysanders.net>|
|| ||ANN: Veusz 1.1|
|| ||Fri, 03 Oct 2008 09:47:47 +0100|
Velvet Ember Under Sky Zenith
Veusz is Copyright (C) 2003-2008 Jeremy Sanders <firstname.lastname@example.org>
Licenced under the GPL (version 2 or greater).
Veusz is a scientific plotting package written in Python, using PyQt4
for display and user-interfaces, and numpy for handling the numeric
data. Veusz is designed to produce publication-ready Postscript/PDF
output. The user interface aims to be simple, consistent and powerful.
Veusz provides a GUI, command line, embedding and scripting interface
(based on Python) to its plotting facilities. It also allows for
manipulation and editing of datasets.
Feature changes from 1.0:
* Axes autoscale when plotting functions
* Labels can be dragged around on plots
* More marker symbols
* SVG export of plots
* The point plotting and axis range code has been rewritten.
* Includes quite a few minor bugfixes
Features of package:
* X-Y plots (with errorbars)
* Line and function plots
* Contour plots
* Images (with colour mappings and colorbars)
* Stepped plots (for histograms)
* Fitting functions to data
* Stacked plots and arrays of plots
* Plot keys
* Plot labels
* LaTeX-like formatting for text
* EPS/PDF/PNG export
* Scripting interface
* Dataset creation/manipulation
* Embed Veusz within other programs
* Text, CSV and FITS importing
Python (2.3 or greater required)
Qt >= 4.3 (free edition)
PyQt >= 4.3 (SIP is required to be installed first)
numpy >= 1.0
Microsoft Core Fonts (recommended for nice output)
PyFITS >= 1.1 (optional for FITS import)
For documentation on using Veusz, see the "Documents" directory. The
manual is in pdf, html and text format (generated from docbook).
* Can be very slow to plot large datasets if antialiasing is enabled.
Right click on graph and disable antialias to speed up output.
* The embedding interface appears to crash on exiting.
If you enjoy using Veusz, I would love to hear from you. Please join
the mailing lists at
to discuss new features or if you'd like to contribute code. The
latest code can always be found in the SVN repository.
Support the Python Software Foundation:
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