Set up and analyze Modelica simulations in Python
ModelicaRes is a free, open-source tool that can be used to
The goal of ModelicaRes is to leverage Python to make these tasks easy and complex tasks feasible. Publication-quality figures can be created with matplotlib using built-in methods that automatically add titles, labels, and legends. ModelicaRes can be scripted or used in an interactive Python session with math and matrix functions from NumPy.
Currently, ModelicaRes only loads Dymola/OpenModelica-formatted results (*.mat), but the interface is modular so that other formats can be added easily.
First, install the dependencies. Most are installed automatically, but SciPy >= 0.10.0 must be installed according to the instructions at http://www.scipy.org/install.html. The GUIs require Qt, which can be installed via PyQt4, guidata, or PySide.
Then install ModelicaRes. The easiest way is to use pip:
> pip install modelicares
On Linux, it may be necessary to have root privileges:
$ sudo pip install modelicares
Another way is to download and extract a copy of the package from the sidebar on the left. Run the following command from the base folder:
> python setup.py install
Or, on Linux:
$ sudo python setup.py install
The matplotlibrc file has some recommended revisions to matplotlib‘s defaults. To use it, copy it to the working directory or matplotlib‘s configuration directory. See http://matplotlib.org/users/customizing.html for details.
ModelicaRes is published under a BSD-compatible license. Please share any improvements you make, preferably as a pull request to the master branch of the GitHub repository. There are useful development scripts in the hooks folder. If you find a bug, have a suggestion, or just want to leave a comment, please open an issue.