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Id: #211
System Name: veusz
Name: Veusz - A Scientific Plotting Package
Group Type: Programs

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Veusz is a scientific plotting application designed to create publication-quality output with a friendly interface. It is written in Python, using PyQt and Numpy.

Registration Date: Thu 12 Feb 2004 02:31:17 PM UTC
License: GNU General Public License V2 or later
Development Status: 5 - Production/Stable

 

Latest News 
Veusz 1.17.1 released
     posted by jeremysanders, Sun 21 Apr 2013 12:10:00 PM UTC - 0 replies

Veusz 1.17.1 is primarily a bug fix release.

Changes in 1.17.1:

  • Allow coloured points for non-orthogonal plots (polar, ternary)
  • Remove unnecessary exception data

Bug fixes:

  • Fix Print dialog
  • Fix command-line "Print" command
  • Fix duplicate axes drawn in grid
  • Fix crash adding empty polar plot
  • Exit properly on Mac OS X with --export option
  • Fix highlighted button icons missing (Mac OS X binary)
Veusz 1.17 released
     posted by jeremysanders, Sun 24 Mar 2013 12:55:47 PM UTC - 0 replies
  • Broken axis widget added
  • Grid lines are always plotted under (or over) data
  • SAMP/VoTable support
  • Shift+Scroll wheel scrolls left/right (thanks to Dave Hughes)
  • Polar plots can have a "minimum" radius and log axes
  • Many more LaTeX symbols added ...

[Read more]
Veusz 1.16 released
     posted by jeremysanders, Sun 08 Jul 2012 11:36:23 AM UTC - 0 replies

Changes in 1.16:

  • Experimental MathML support
  • Add upper/lower-left/right arrows
  • Add options to clip text/lines/shapes to graphs
  • Add stacked-area option to bar plot widget
  • Draw stacked bar plots top-down for better overlapping line behaviour ...

[Read more]
Veusz 1.15 released
     posted by jeremysanders, Tue 03 Apr 2012 09:03:42 PM UTC - 0 replies

Changes in 1.15:

  • Improved hatching:

* More hatch styles
* Adjust spacing of hatching
* Change hatching line style
* Allow hatching background color

  • Axes will not extend beyond specified min and max values
  • Add options to extend axes by 2, 5, 10 and 15% of data range ...

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