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Provides simple filtering and visualization tools for Monte-Carlo simulation data

Project description

Author: Guillaume Schworer
Version: 0.2beta

Blah It is released under the MIT license.

import MCres

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Refer to this page,


MCres requires the following Python packages:

  • NumPy, Scipy: for basic numerical routines
  • for angle units
  • corner: for plotting
  • matplotlib: for plotting
  • time: for basic stuff

MCres is tested on Linux and Python 2.7 only, but should cross-plateform without too many issues.


If you use anaconda, the easiest and fastest way to get the package up and running is to install MCres using conda:

$ conda install MCres --channel MCres

You can also install MCres from PyPI using pip, given that you already have all the requirements:

$ pip install MCres

You can also download MCres source from GitHub and type:

$ python install


Code writing

Code contributions are welcome! Just send a pull request on GitHub and we will discuss it. In the issue tracker you may find pending tasks.

Bug reporting

If you think you’ve found one please refer to the issue tracker on GitHub.

Additional options

You can either send me an e-mail or add it to the issues/wishes list on GitHub.


If you use MCres on your project, please drop me a line <mailto:{my first name}.{my family name}>, you will get fixes and additional options earlier.


MCres is released under the MIT license, hence allowing commercial use of the library. Please refer to the LICENSE.txt file.


0.5.0 (2016-08-21)

  • Initial release.

Project details

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