Lea snippets

lea_examples.py

import lea
from lea import markov

lea_obj = lea.vals('abcde')
ch = markov.chain_from_seq('abgdkjhagbdffagg')

# To get the probability distribution from an Alea object:
probs = list(zip(lea_obj.support, lea_obj.ps))

# To get the transition matrix from a Markov chain object:
for state, tr in ch._next_state_lea_per_state:
    for dest, prob in zip(tr.support, tr.ps):
        print(f"{state}->{dest}: {prob}")