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Sep 28, 2009, 1:14 AM
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Veusz 1.5
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Velvet Ember Under Sky Zenith
-----------------------------
http://home.gna.org/veusz/
Veusz is Copyright (C) 2003-2009 Jeremy Sanders <jeremy [at] jeremysanders>
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 1.5:
* EMF export (requires pyemf and PyQt snapshot)
* Character encodings supported in data import
* Rewritten stylesheet handling. User can now set defaults in document
for all settings. This is now under the Edit->Default Styles dialog.
* A default stylesheet can be loaded for all new documents (set in
preferences dialog)
* Linked datasets saved in documents now use relative filename paths
(with absolute paths as fallback)
* Axes can now have text labels of points plotted along them (choose
"labels" as axis mode)
* Dataset points can be scaled to different sizes according to another
dataset (this is the "Scale markers" option for point plotters)
More minor changes
* Custom delimiter support in CSV data importer
* Add SetDataText and support text in GetData in command API
* \dot and \bar added to LaTeX renderer
* Option to change icon sizes displayed
* Rearrange toolbar icons and create data and widget operation toolbars
* Zoom button remembers previous usage
* Conversion from 1D->2D datasets more robust
* Expression datasets can now be a constant value
* Uses colors form theme better and allow user to change some UI colors
in preferences
* Fix contours if coordinates can be infinite (e.g. log scaling with zero
value)
* nan/inf are no longer ignored when the ignore text option is selected in
import dialog
* Several other minor UI changes and bugfixes
Important note
* As the way defaults are used has been rewritten, default values are
no longer saved on a per-user basis but are saved in a stylesheet and
is saved in the document. You cannot currently set defaults on a widget-
name basis.
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/EMF 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
pyemf >= 2.0.0 (optional for EMF export)
http://pyemf.sourceforge.net/
For EMF export, PyQt-x11-gpl-4.6-snapshot-20090906 or better is
required, to fix a bug in the C++ wrapping
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, PDF or SVG.
* Clipping of data does not work in the SVG export as Qt currently
does not support this.
* 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). Switching off
antialiasing in the options may help this.
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/
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