The Boltzmannizer

Visualization tool for discrete Boltzmann distributions.

Installation

The easy way: pip install Boltzmannizer

The less-easy way: python setup.py install

Requires:

• argparse
• matplotlib
• numpy
• wxPython

Note that wxPython can't be installed through pip, so you will need to install it manually first.

This package should be compatible with both Python 2.6 and 2.7, and has been tested on Linux and Mac OS X.

It is highly recommended that this package is installed and run inside a virtualenv. The wxPython dependency makes this non-trivial, but it is still possible. The use of wheels is also encouraged, as they make the virtualenv experience much better.

Running

Run it using the provided bin/boltzmannizer script.

Testing

python setup.py test

Requires:

• nose
• unittest2

For a more manual approach, install the test dependencies and run all the tests with nosetests from the root directory.

unittest2 is used to get new unittest features on old versions of Python.

License

This project is released under the MIT license. See the LICENSE file for details.