Hi all,
I am pleased to announce that `guiqwt` v2.2.1 has been released (http://guiqwt.googlecode.com).
Based on PyQwt (plotting widgets for PyQt4 graphical user interfaces) and on the scientific modules NumPy and SciPy, guiqwt is a Python library providing efficient 2D data-plotting features (curve/image visualization and related tools) for interactive computing and signal/image processing application development.
The Mercurial repository is now publicly available here:
http://code.google.com/p/guiqwt/source/checkout
Complete change log is available here:
http://code.google.com/p/guiqwt/wiki/ChangeLog
Documentation with examples, API reference, etc. is available here:
http://packages.python.org/guiqwt/
This version of `guiqwt` includes a demo software, Sift (for Signal and Image Filtering Tool), based on `guidata` and `guiqwt`:
http://packages.python.org/guiqwt/sift.html
Windows users may even download the portable version of Sift 0.2.6 to test it without having to install anything:
http://code.google.com/p/guiqwt/downloads/detail?name=sift-0.2.6-guiqwt-2.2-win32.zip
When compared to the excellent module `matplotlib`, the main advantages of `guiqwt` are:
* Performance: see http://packages.python.org/guiqwt/overview.html#performances
* Interactivity: see for example http://packages.python.org/guiqwt/_images/plot.png
* Powerful signal processing tools: see for example http://packages.python.org/guiqwt/_images/fit.png
* Powerful image processing tools:
* Real-time contrast adjustment: http://packages.python.org/guiqwt/_images/contrast.png
* Cross sections (line/column, averaged and oblique cross sections!): http://packages.python.org/guiqwt/_images/cross_section.png
* Arbitrary affine transforms on images: http://packages.python.org/guiqwt/_images/transform.png
* Interactive filters: http://packages.python.org/guiqwt/_images/imagefilter.png
* Geometrical shapes/Measurement tools: http://packages.python.org/guiqwt/_images/image_plot_tools.png
* Perfect integration of `guidata` features for image data editing: http://packages.python.org/guiqwt/_images/simple_window.png
But `guiqwt` is more than a plotting library; it also provides:
* Framework for signal/image processing application development: see http://packages.python.org/guiqwt/examples.html
* And many other features like making executable Windows programs easily (py2exe helpers): see http://packages.python.org/guiqwt/disthelpers.html
guiqwt has been successfully tested on GNU/Linux and Windows platforms.
Python package index page:
http://pypi.python.org/pypi/guiqwt/
Documentation, screenshots:
http://packages.python.org/guiqwt/
Downloads (source + Python(x,y) plugin):
http://guiqwt.googlecode.com
--
Dr. Pierre Raybaut
CEA - Commissariat à l'Energie Atomique et aux Energies Alternatives
--
http://mail.python.org/mailman/listinfo/python-announce-list
Support the Python Software Foundation:
http://www.python.org/psf/donations/
I am pleased to announce that `guiqwt` v2.2.1 has been released (http://guiqwt.googlecode.com).
Based on PyQwt (plotting widgets for PyQt4 graphical user interfaces) and on the scientific modules NumPy and SciPy, guiqwt is a Python library providing efficient 2D data-plotting features (curve/image visualization and related tools) for interactive computing and signal/image processing application development.
The Mercurial repository is now publicly available here:
http://code.google.com/p/guiqwt/source/checkout
Complete change log is available here:
http://code.google.com/p/guiqwt/wiki/ChangeLog
Documentation with examples, API reference, etc. is available here:
http://packages.python.org/guiqwt/
This version of `guiqwt` includes a demo software, Sift (for Signal and Image Filtering Tool), based on `guidata` and `guiqwt`:
http://packages.python.org/guiqwt/sift.html
Windows users may even download the portable version of Sift 0.2.6 to test it without having to install anything:
http://code.google.com/p/guiqwt/downloads/detail?name=sift-0.2.6-guiqwt-2.2-win32.zip
When compared to the excellent module `matplotlib`, the main advantages of `guiqwt` are:
* Performance: see http://packages.python.org/guiqwt/overview.html#performances
* Interactivity: see for example http://packages.python.org/guiqwt/_images/plot.png
* Powerful signal processing tools: see for example http://packages.python.org/guiqwt/_images/fit.png
* Powerful image processing tools:
* Real-time contrast adjustment: http://packages.python.org/guiqwt/_images/contrast.png
* Cross sections (line/column, averaged and oblique cross sections!): http://packages.python.org/guiqwt/_images/cross_section.png
* Arbitrary affine transforms on images: http://packages.python.org/guiqwt/_images/transform.png
* Interactive filters: http://packages.python.org/guiqwt/_images/imagefilter.png
* Geometrical shapes/Measurement tools: http://packages.python.org/guiqwt/_images/image_plot_tools.png
* Perfect integration of `guidata` features for image data editing: http://packages.python.org/guiqwt/_images/simple_window.png
But `guiqwt` is more than a plotting library; it also provides:
* Framework for signal/image processing application development: see http://packages.python.org/guiqwt/examples.html
* And many other features like making executable Windows programs easily (py2exe helpers): see http://packages.python.org/guiqwt/disthelpers.html
guiqwt has been successfully tested on GNU/Linux and Windows platforms.
Python package index page:
http://pypi.python.org/pypi/guiqwt/
Documentation, screenshots:
http://packages.python.org/guiqwt/
Downloads (source + Python(x,y) plugin):
http://guiqwt.googlecode.com
--
Dr. Pierre Raybaut
CEA - Commissariat à l'Energie Atomique et aux Energies Alternatives
--
http://mail.python.org/mailman/listinfo/python-announce-list
Support the Python Software Foundation:
http://www.python.org/psf/donations/