Note that this release includes binaries for Linux/Windows/MacOSX.
Veusz 1.2.1
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Velvet Ember Under Sky Zenith
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http://home.gna.org/veusz/
Veusz is Copyright (C) 2003-2008 Jeremy Sanders <[EMAIL PROTECTED]>
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
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