Veusz 1.4

Veusz is a scientific plotting package written in Python. It uses PyQt for display and user-interfaces, and numarray for handling the numeric data.
Veusz was created in order to produce publication-ready Postscript output (plots can additionally saved to SVG or printed to PDF).
Veusz provides a GUI, command line and scripting interface (based on Python) to its plotting facilities. The plots are built using an object-based system to provide a consistent interface.

Main features:
- X-Y plots (with errorbars)
- Contour plots
- Images (with colour mappings)
- Stepped plots (for histograms)
- Line plots
- Function plots
- Fitting functions to data
- Stacked plots and arrays of plots
- Plot keys
- Plot labels
- LaTeX-like formatting for text
- EPS output
- Simple data importing
- Scripting interface
- Save/Load plots
- Dataset manipulation
- Embed Veusz within other programs.

System requirements:
-
- NumArray (Python module)
-

Enhancements
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