I've made some binaries and source for a 1,8 release candidate. Please have a go with it and tell me whether there are any major problems. Please note that it now includes a C++ module, so building may have issues on some platforms.
Download from http://download.gna.org/veusz/testing/ Jeremy Release notes ------------- Veusz 1.8 --------- Velvet Ember Under Sky Zenith ----------------------------- http://home.gna.org/veusz/ Veusz is Copyright (C) 2003-2010 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/SVG 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. Data can be captured from external sources such as internet sockets or other programs. Changes in 1.8: * Rewritten several inner loops in C++ giving speedups for large datasets * Lines, points and shapes are clipped before plotting, which speeds up plotting with some Qt backends and reduces file sizes * Data histogram feature added for calculating histograms of datasets, including cumulative histograms * Data import plugins allow the user to add support for importing any file type - see Veusz wiki for details * Experimental Bezier curve option for joining data points Minor changes in 1.8: * Fix zoom button default action * Speed up user interface when handling large numbers of datasets * Reset buttons added to several dialog boxes * Add engineering number formatting for axes: %VE giving e.g. 1k or 50m * Add drop down list of number formatting option to axis tick labels * Force Qt dialog boxes to be used instead of KDE ones, as KDE ones are currently broken * Use miter joins for plotting data points for sharper appearance * Add SetAntiAliasing command to command interface to toggle anti aliasing * Fix highlighting of errors when entering settings * Fix conversion of numpy to QVariants for new versions of PyQt * New point styles added for showing limits * Reworked internals of import dialog substantially * Several other minor bug fixes Note for people building from source and package builders: * Veusz now contains C++ code, dependent for building on the development libraries of SIP, PyQt4 and Qt4. Note that Veusz will still work (but more slowly) without this helper library. 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, FITS and user-plugin importing * Data can be captured from external sources * User defined functions, constants and can import external Python functions Requirements for source install: 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 and better SVG export, PyQt >= 4.6 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). The examples are also useful documentation. Please also see and contribute to the Veusz wiki: http://barmag.net/veusz-wiki/ Issues with the current version: * Plots can sometimes be slow using antialiasing. Go to the preferences dialog or right click on the plot to disable antialiasing. * Some recent versions of PyQt/SIP will causes crashes when exporting SVG files. Update to 4.7.4 (if released) or a recent snapshot to solve this problem. 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 _______________________________________________ Veusz-discuss mailing list Veusz-discuss@gna.org https://mail.gna.org/listinfo/veusz-discuss