RandomState.bytes(length) Return random bytes.

RandomState.randint(low, high=None, size=None, dtype='l') Return random integers from low (inclusive)

RandomState.exponential(scale=1.0, size=None) Draw samples from an exponential distribution. Its

numpy.random.pareto(a, size=None) Draw samples from a Pareto II or Lomax distribution with specified shape. The

RandomState.get_state() Return a tuple representing the internal state of the generator. For more details

numpy.random.sample(size=None) Return random floats in the half-open interval [0.0, 1.0). Results are from the

numpy.random.standard_cauchy(size=None) Draw samples from a standard Cauchy distribution with mode = 0. Also

numpy.random.power(a, size=None) Draws samples in [0, 1] from a power distribution with positive exponent a - 1. Also

RandomState.standard_normal(size=None) Draw samples from a standard Normal distribution (mean=0, stdev=1)

class numpy.random.RandomState Container for the Mersenne Twister pseudo-random number generator.