prob140.MarkovChain.from_matrix¶

classmethod MarkovChain.from_matrix(states, transition_matrix)[source]¶

Constructs a MarkovChain from a transition matrix.

Parameters:	states : iterable List of states. transition_matrix : ndarray Square transition matrix.
Returns:	MarkovChain

Examples

>>> states = [1, 2]
>>> transition_matrix = np.array([[0.1, 0.9],
...                               [0.8, 0.2]])
>>> MarkovChain.from_matrix(states, transition_matrix)
     1    2
1  0.1  0.9
2  0.8  0.2