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Markov Chain Transition Diagrams in Python

Simple Markov Chain visualization module in Python. Only requires matplotlib and numpy to work.

Description

The current version works with 2 to 4 states.

Getting Started

Dependencies

  • matplotlib
  • numpy
  • Tkinter standard GUI library for Python

Installation

Copy the files src/node.py and src/markovchain.py in your script directory. Then

from markovchain import MarkovChain

2 X 2 Matrix

Dynamic Random Entery by the user.

3-state Markov chain demo

P = np.array([
    [0.8, 0.1, 0.1],
    [0.1, 0.7, 0.2],
    [0.1, 0.7, 0.2],
])
mc = MarkovChain(P, ['A', 'B', 'C'])
mc.draw("../img/markov-chain-three-states.png")

Author

Credit: Naysan Saran Modification: [M Shaf Khattak].(https://github.com/SHaf373)

Link to my blog.

License

This project is licensed under the GPL V3 licence.

markov-chain's People

Contributors

naysancann avatar shaf373 avatar naysansaran avatar

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