Veusz 1.7 --------- Velvet Ember Under Sky Zenith ----------------------------- http://home.gna.org/veusz/ Veusz is Copyright (C) 2003-2010 Jeremy Sanders <jeremy@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 1.7: * Widgets can be moved by dragged and dropped in the widget tree, or copied by holding down ctrl at the same time * Tick labels are centred if possible at the start and ends of axes * When putting graphs in grid, axis labels and tick labels are placed in much better positions * Embedding module is shipped in binary versions * Grid lines can be drawn on axis minor ticks * Contour widget can draw minor (dotted) contours between main contours * Logarithmic contours have proper logarithmic spacing * Fixes for widget names and dataset names with Unicode characters, including copy and paste * Optional smoothing in the image widget Minor changes: * Errors in evaluating expressions are logged in the console window, and do not show exceptions * Fix problems when importing multiple symbols from python modules in the custom import dialog * Use minus sign for negative numbers in tick labels, rather than hyphens * Contour widget lines can have transparency * Datasets are sorted by name when writing to saved document * Use correct status for paste button when starting application * Add option for extra space between axes and tick labels, and axis labels * Preference added for background color of exported bitmaps * Add IsClosed() and WaitForClose() embedding functions to check whether plot window is closed, or to wait for closing of plot window. 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 * 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. Issues with the current version: * Due to Qt, hatched regions sometimes look rather poor when exported to PostScript, PDF or SVG. * Due to a bug in Qt, some long lines, or using log scales, can lead to very slow plot times under X11. It is fixed by upgrading to Qt-4.5.1 (or using a binary). Switching off antialiasing in the options may help. 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.