resimpy.util.random package

Submodules

resimpy.util.random.Number module

class resimpy.util.random.Number.number(*args, **kwargs)

Bases: object

binomial(n, p, use_seed=True, seed=1)

choice(high, num, replace=False)

nbinomial(n, p, use_seed=True, seed=1)

Parameters

• n – the number of success to be expected, better, n = the total number of trails * p

• p – the prob of success

• use_seed –

• seed –

Returns

uniform(low, high, num, use_seed=True, seed=1)

resimpy.util.random.Ordering module

class resimpy.util.random.Ordering.ordering(method)

Bases: object

permute()

shuffle(data, use_seed=True, seed=1)

resimpy.util.random.Sampling module

class resimpy.util.random.Sampling.sampling(method='uniform')

Bases: object

gaussian()

poisson()

uniform(data, num, use_seed=True, seed=1, replace=False)

Parameters

• data –

• num –

• use_seed –

• seed –

• replace –

Returns

Module contents