Metadata-Version: 1.1
Name: ModelicaRes
Version: 0.3
Summary: Utilities to set up and analyze Modelica simulation experiments
Home-page: http://kdavies4.github.com/ModelicaRes/
Author: Kevin Davies
Author-email: kdavies4@gmail.com
License: BSD-compatible (LICENSE.txt)
Description: 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 <http://kdavies4.github.com/ModelicaRes>`_ 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
        <http://old.nabble.com/Arrows-using-Line2D-and-shortening-lines-td19104579.html>`_
        class), Jason Heeris (`efficient base-10 logarithm
        <http://www.mail-archive.com/matplotlib-users@lists.sourceforge.net/msg14433.html>`_),
        Richard Murray (`python-control
        <http://sourceforge.net/apps/mediawiki/python-control>`_), and Joerg Raedler
        (method to expand a Modelica_ variable tree, from `DyMat
        <http://www.j-raedler.de/projects/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
        
        .. _Modelica: http://www.modelica.org/
        .. _Python: http://www.python.org/
        .. _matplotlib: http://www.matplotlib.org/
        .. _NumPy: http://numpy.scipy.org/
        
Keywords: Modelica,matplotlib,simulation experiment,results
Platform: UNKNOWN
Classifier: Development Status :: 4 - Beta
Classifier: Environment :: Console
Classifier: License :: OSI Approved :: BSD License
Classifier: Programming Language :: Python :: 2.7
Classifier: Intended Audience :: Science/Research
Classifier: Topic :: Scientific/Engineering
Classifier: Topic :: Utilities
Requires: matplotlib
Requires: numpy
Requires: wx
Provides: modelicares
