Not sure where else to add a comment:
I would like to add another interesting Python-based reference tool to the mix:
guiqwt: GitHub - PlotPyStack/guiqwt: Efficient 2D plotting Python library based on PythonQwt
It appears to include facilities enabling people to easily add fancy interactivity to their plots.
You can install guiqwt on an ubuntu system:
sudo apt-get install python-guiqwt
You can then try out sample tests by running guiqwt-tests.
For example:
- cross_section.py: Provides x & y cross-section markers that, when dragged over a MRI/CT-scan image, displays the 1D signal of that cross-section.
- computations.py: Provides a means to select a region (displayed as a transparent red section) that tabulates various signal statistics.
- fit.py: Uses the bounds “tool” to select the region over which to fit noisy data with an ideal signal model.
- plot.py: Provides a widget that allows you to select curves more easily (maybe the legend itself could be implemented as a widget).
- …See other examples for more…
A few visual examples…
