ModelicaRes 0.3

Utilities to set up and analyze Modelica simulation experiments

The goal of ModelicaRes is to provide an open-source tool to effectively manage Modelica simulations, interpret results, and create publishable figures. It is currently possible to auto-generate simulation scripts, run model executables with varying parameters, browse data, perform calculations, and produce various plots and diagrams. The figures are generated via matplotlib, which offers a rich set of plotting routines. ModelicaRes includes convenient functions to automatically pre-format and label some figures, like xy plots, Bode and Nyquist plots, and Sankey diagrams. ModelicaRes can be scripted or run from a Python command-line interpreter with math and matrix functions from NumPy.

The main project site includes the full documentation and many examples. The development site is https://github.com/kdavies4/modelicares.

The authors are Kevin Davies and Kevin Bandy. Third-party code has been included from Jason Grout (ArrowLine class), Jason Heeris (efficient base-10 logarithm), Richard Murray (python-control), and Joerg Raedler (method to expand a Modelica variable tree, from DyMat)

To install the package, first download and extract it. Then run the set up script (setup.py) from the base folder. On Windows, use the following command:

python setup.py install

On Linux use:

sudo python setup.py install