ModelicaRes 0.11.0

Utilities to set up and analyze Modelica simulation experiments

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ModelicaRes
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**Utilities to set up and analyze Modelica simulation experiments**

ModelicaRes is a free, open-source tool to conveniently manage Modelica_
simulations, interpret results, and create publishable figures. It is possible
to

- auto-generate simulation scripts,
- browse data,
- perform custom calculations,
- produce various plots and diagrams, and
- export data to various formats via pandas_.

The figures are generated via matplotlib_, which offers a rich set of plotting
routines. ModelicaRes includes functions to automatically pre-format and label
some figures, like xy plots, Bode and Nyquist plots, and Sankey diagrams.
ModelicaRes can be scripted or used in an interactive Python_ session with math
and matrix functions from NumPy_.

Please see the tutorial, which is available as an `IPython notebook
<https://github.com/kdavies4/ModelicaRes/blob/master/examples/tutorial.ipynb>`_
or online as a `static page
<http://nbviewer.ipython.org/github/kdavies4/ModelicaRes/blob/master/examples/tutorial.ipynb>`_.
For the full documentation and many more examples, see the `main website`_.

Installation
~~~~~~~~~~~~

The easiest way to install this package 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. The `main
website`_ and the `release branch at GitHub`_ have copies with built
documentation and compiled examples. The copy on the `PyPI page`_ only has the
files to install the package, build the documentation, and execute the examples.
Once you have a copy, run the following command from the base folder::

python setup.py install

Or, on Linux::

sudo python setup.py install

Some of the required packages may not install automatically.

- The SciPy_ stack, including matplotlib_ and pandas_, can be installed
according to the instructions at http://www.scipy.org/install.html.
- PyQt4_ can be downloaded from
http://www.riverbankcomputing.co.uk/software/pyqt/download.
- wxPython_ can be downloaded from http://www.wxpython.org/download.php.
However, it is only required for the `variable browser
<http://kdavies4.github.io/ModelicaRes/simres.html#modelicares.simres.SimRes.browse>`_.

The *matplotlibrc* file in the base folder 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.

Credits
~~~~~~~

The main author is Kevin Davies. Code has been included from:

- Richard Murray (`python-control`_, `as repackaged
<https://pypi.python.org/pypi/control>`_ by James Goppert),
- Joerg Raedler (method to expand a Modelica_ variable tree---from DyMat_),
- Jason Grout (`ArrowLine class`_), and
- Jason Heeris (`efficient base-10 logarithm`_),

Suggestions and bug fixes have been provided by Arnout Aertgeerts, Kevin Bandy,
Thomas Beutlich, Martin Sjölund, Mike Tiller, and Michael Wetter.

License terms and development
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

ModelicaRes is published under a `BSD-compatible license
<https://github.com/kdavies4/ModelicaRes/blob/release/LICENSE.txt>`_. The
development site is https://github.com/kdavies4/ModelicaRes. Please share any
modifications you make (preferably as a pull request to the ``master`` branch
at that site) in order to help others. If you find a bug, please `report it
<https://github.com/kdavies4/ModelicaRes/issues/new>`_. If you have
suggestions, please `share them
<https://github.com/kdavies4/ModelicaRes/wiki/Suggestions>`_.

See also
~~~~~~~~

- awesim_: helps run simulation experiments and organize results
- BuildingsPy_: supports unit testing
- DyMat_: exports Modelica_ simulation data to comma-separated values
(CSV_), Gnuplot_, MATLAB®, and Network Common Data Form (netCDF_)
- PyFMI_: tools to work with models through the Functional Mock-Up Interface
(FMI_) standard
- PySimulator_: elaborate GUI; supports FMI_


.. _main website: http://kdavies4.github.io/ModelicaRes
.. _release branch at GitHub: https://github.com/kdavies4/ModelicaRes
.. _PyPI page: http://pypi.python.org/pypi/ModelicaRes

.. _Modelica: http://www.modelica.org
.. _Python: http://www.python.org
.. _pandas: http://pandas.pydata.org
.. _matplotlib: http://www.matplotlib.org
.. _NumPy: http://numpy.scipy.org
.. _SciPy: http://www.scipy.org/index.html
.. _PyQt4: http://www.riverbankcomputing.co.uk/software/pyqt
.. _wxPython: http://www.wxpython.org
.. _pip: https://pypi.python.org/pypi/pip
.. _awesim: https://github.com/saroele/awesim
.. _BuildingsPy: http://simulationresearch.lbl.gov/modelica/buildingspy
.. _DyMat: http://www.j-raedler.de/projects/dymat
.. _PyFMI: https://pypi.python.org/pypi/PyFMI
.. _PySimulator: https://github.com/PySimulator/PySimulator
.. _Gnuplot: http://www.gnuplot.info
.. _CSV: http://en.wikipedia.org/wiki/Comma-separated_values
.. _netCDF: http://www.unidata.ucar.edu/software/netcdf
.. _FMI: https://www.fmi-standard.org
.. _python-control: http://sourceforge.net/apps/mediawiki/python-control
.. _ArrowLine: http://old.nabble.com/Arrows-using-Line2D-and-shortening-lines-td19104579.html
.. _efficient base-10 logarithm: http://www.mail-archive.com/[e-mail]/msg14433.html