Veusz - A Scientific Plotting Package - Summary
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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 1.15 released
posted by jeremysanders, Tue 03 Apr 2012 09:03:42 PM UTC - 0 replies
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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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Veusz 1.14 released
posted by jeremysanders, Thu 24 Nov 2011 08:40:25 PM UTC - 0 replies
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posted by jeremysanders, Thu 24 Nov 2011 08:40:25 PM UTC - 0 replies
Changes in 1.14:
- Added interactive tutorial
- Points in graphs can be colored depending on another dataset and the scale shown in a colorbar widget
- Improved CSV import
- better data type detection
- locale-specific numeric and date formats
...
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Veusz 1.12 released
posted by jeremysanders, Mon 27 Jun 2011 07:46:23 PM UTC - 0 replies
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posted by jeremysanders, Mon 27 Jun 2011 07:46:23 PM UTC - 0 replies
- Multiple widgets can now be selected for editing properties
- Add Edit->Select menu and context menu for above
- Added context menu on dataset browser for filenames to reload, delete or unlink all associated datasets
- New tree-like dataset browsing widget is shown in data edit dialog ...
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Veusz 1.11 released
posted by jeremysanders, Sun 03 Apr 2011 08:56:24 PM UTC - 0 replies
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[24 news in archive]
posted by jeremysanders, Sun 03 Apr 2011 08:56:24 PM UTC - 0 replies
- New data point picker for finding coordinates of points on plot (contributed by B.K. Stuhl)
- New data navigator window for filtering, sorting and examining dataset statistics
- ".." button next to dataset settings pops up data navigator for choosing datasets ...
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[24 news in archive]
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