Veusz 1.4 --------- Velvet Ember Under Sky Zenith ----------------------------- http://home.gna.org/veusz/
Veusz is Copyright (C) 2003-2009 Jeremy Sanders <jer...@jeremysanders.net> Licenced under the GPL (version 2 or greater). Veusz is a Qt4 based 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. Changes in 1.4: * Dates can be plotted on axes * Bar graph component, support bars in groups and stacked bars with error bars * Improved import - text lines can be ignored in imported files - prefix and suffix can be added to dataset names - more robust import dialog * Markers can be "thinned" for large datasets * Further LaTeX support, including \frac for fractions and \\ for line breaks. * Keys show error bars on datasets with errors * Axes can scale plotted data by a factor More minor changes * Mathematical expressions can be entered in many places where numbers are entered (e.g. axis minima) * Many more latex symbols * Text labels can also be placed outside graphs directly on pages * Dataset expressions can be edited * Data can be copied out of data edit dialog. Rows can be inserted or deleted. * Mac format line terminators are allowed in import files * Preview window resizes properly in import dialog Features of package: * X-Y plots (with errorbars) * Line and function plots * Contour plots * Images (with colour mappings and colorbars) * Stepped plots (for histograms) * Bar graphs * Plotting dates * 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 (2.4 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 with the current version: * Due to Qt, hatched regions sometimes look rather poor when exported to PostScript or PDF. * Due to a bug in Qt, some long lines, or using log scales, can lead to very slow plot times under X11. This problem is seen with dashed/dotted lines. It is fixed by upgrading to Qt-4.5.1 (the Veusz binary version includes this Qt version). * Can be very slow to plot large datasets if antialiasing is enabled. Right click on graph and disable antialias to speed up output. This is mostly a problem with older Qt versions, however. 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 -- http://mail.python.org/mailman/listinfo/python-announce-list Support the Python Software Foundation: http://www.python.org/psf/donations.html
