random.md 1.1 KB
random.seed(a)
Set the random seed.
random.random()
Return a random float number in the range [0.0, 1.0).
random.randint(a, b)
Return a random integer in the range [a, b].
random.uniform(a, b)
Return a random float number in the range [a, b).
random.choice(seq)
Return a random element from a sequence.
random.shuffle(seq)
Shuffle a sequence inplace.
random.choices(population, weights=None, k=1)
Return a k sized list of elements chosen from the population with replacement.
random.getstate()
Return the internal state of the generator as a bytes object.
random.setstate(state)
Restore the internal state of the generator from a bytes object
returned by a previous call to getstate().
random.Random(x=None)
Create a new generator. x may be an int seed, None (seeded lazily from the
system clock on first use), or a state returned by getstate().
A Random object supports pickle, so its state can be saved and restored:
import pickle, random
r = random.Random(7)
data = pickle.dumps(r)
r2 = pickle.loads(data)
assert r.random() == r2.random()