Note: the Python embedding interface is now more robust and works under windows. Veusz 1.2.1 ----------- Velvet Ember Under Sky Zenith ----------------------------- http://home.gna.org/veusz/ Veusz is Copyright (C) 2003-2008 Jeremy Sanders <jeremy@jeremysanders.net> Licenced under the GPL (version 2 or greater). Veusz is a scientific plotting package. It is 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. Change in 1.2.1: * Fix crash when adding a key without any key text defined. Changes in 1.2: * Boxes, ellipses, lines, arrows and image files can now be added to the plot or page and interactively adjusted. * Page sizes, graphs, grids and axes can be interactively adjusted. * Plot keys can have multiple columns. * Error bars can have cross-ends. * Several user interface usability enhancements. * Embedding interface has been rewritten to be more robust. It now uses multiple processes and sockets. * Embedding now works fully on Windows. * Embedding interface has been expanded: - Zoom width, height and page options for zooming graph to window - Dynamically change update interval - Move between pages of documents - Open up more than one view onto a document * PDF export fixed for recent versions of Qt * Quite a lot of minor bug fixes 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 * Shapes and arrows on plots * LaTeX-like formatting for text * EPS/PDF/PNG/SVG export * Scripting interface * Dataset creation/manipulation * Embed Veusz within other programs * Text, CSV and FITS importing Requirements: Python (2.3 or greater required) http://www.python.org/ Qt >= 4.3 (free edition) http://www.trolltech.com/products/qt/ PyQt >= 4.3 (SIP is required to be installed first) http://www.riverbankcomputing.co.uk/pyqt/ http://www.riverbankcomputing.co.uk/sip/ numpy >= 1.0 http://numpy.scipy.org/ Optional: Microsoft Core Fonts (recommended for nice output) http://corefonts.sourceforge.net/ PyFITS >= 1.1 (optional for FITS import) 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). Issues: * Can be very slow to plot large datasets if antialiasing is enabled. Right click on graph and disable antialias to speed up output. 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 latest code can always be found in the SVN repository. Jeremy Sanders