v0.6.0 - Maintenance release

This is just a maintenance release, almost four years after v0.5.0.

PythonQwt is still alive... and it's still running!

After being widely used through guiqwt which extends PythonQwt features (adding higher-level features like efficient image visualization, advanced interaction with graphic objects, ready-to-use GUI components to build your scientific application with a few lines of code, etc.), PythonQwt may also be used through plotpy.

v0.5.5

This release demonstrates that some essential features of PyQwt can be reimplemented in pure Python, with some limitations (see README) but without too much performance loss (depending on your application, of course).

Note that you might be interested by guiqwt which is an extension to PythonQwt, adding higher-level features like efficient image visualization, advanced interaction with graphic objects, ready-to-use GUI components to build your scientific application with a few lines of code, etc.

The most important additions of recent versions are:

• documentation,
• huge performance improvements (between v0.4.0 and v0.5.0).

To test this release, you may run the GUI-based test launcher from Python:

from qwt import tests
tests.run()

or from command line: python-qwt-tests.

GUI-based test launcher (requires guidata):

Example showing curve styles:

Example benchmarking the plotting feature ("lines" and "dots" plots are the most optimized thanks to a direct memory mapping between NumPy array data and Qt polygon data):

Other examples: