prob140.MarkovChain.from_table¶

classmethod MarkovChain.from_table(table)[source]¶

Constructs a Markov Chain from a Table

Parameters:	table : Table A table with three columns for source state, target state, and probability.
Returns:	MarkovChain

Examples

>>> table = Table().states(make_array('A', 'B'))         ...     .transition_probability(make_array(0.5, 0.5, 0.3, 0.7))
>>> table
Source | Target | Probability
A      | A      | 0.5
A      | B      | 0.5
B      | A      | 0.3
B      | B      | 0.7
>>> MarkovChain.from_table(table)
     A    B
A  0.5  0.5
B  0.3  0.7