prob140.MarkovChain.plot_path

MarkovChain.plot_path(starting_condition, path)

Plots a Markov Chain’s path.

Parameters:

starting_condition : state

State to start at.

path : iterable

List of valid states.

Examples

>>> states = ['A', 'B']  # Works with all state data types!
>>> transition_matrix = np.array([[0.1, 0.9],
...                               [0.8, 0.2]])
>>> mc = MarkovChain.from_matrix(states, transition_matrix)
>>> mc.plot_path(mc.simulate_path('B', 20))
<Plot of a Markov Chain that starts at 'B' and takes 20 steps>