54026/calculate-probabilities-for-markov-chain-python

I am trying to figure out the concepts behind Markov Chain.

print zip(s,s[1:]) [('D', 'E'), ('E', 'F'), ('F', 'E'), ('E', 'E'), ('E', 'F'), ('F', 'H'), ('H', 'F')]

How do I find the probability of the above data?

You have to use the tuples from the zip to index the dictionary and then multiply all the numbers.

from operator import mul print reduce(mul, (dict_m[t] for t in zip(s, s[1:])))

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