I'm pleased to announce Veusz 1.0. Source, windows and linux i386 binaries are available. Jeremy Sanders
Veusz 1.0 --------- Velvet Ember Under Sky Zenith ----------------------------- http://home.gna.org/veusz/ Veusz is Copyright (C) 2003-2007 Jeremy Sanders <[EMAIL PROTECTED]> 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 0.99.0: * Import of Text datasets * Labels can be plotted next to X-Y points * Numbers can be directly plotted by entering into X-Y datasets as X and Y * More line styles * Loaded document and functions are checked for unsafe Python features * Contours can be labelled with numbers * 2D dataset creation to make 2D datasets from x, y, z 1D datasets Bug and minor fixes from 0.99.0: * Zooming into X-Y images works now * Contour plots work on datasets with non equal X and Y sizes * Various fixes for datasets including NaN or Inf * Large changes to data import filter to support loading strings (and dates later) * Reduce number of undo levels for memory/speed * Text renderer rewritten to be more simple * Improved error dialogs * Proper error dialog for invalid loading of documents 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 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/ 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: * Reqires a rather new version of PyQt, otherwise dialogs don't work. * 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 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. -- http://mail.python.org/mailman/listinfo/python-list
