# scipy.stats.qmc.Halton.random¶

Halton.random(n=1, *, workers=1)[source]

Draw n in the half-open interval [0, 1).

Parameters
nint, optional

Number of samples to generate in the parameter space. Default is 1.

workersint, optional

Number of workers to use for parallel processing. If -1 is given all CPU threads are used. Default is 1. It becomes faster than one worker for n greater than $$10^3$$.

Returns
samplearray_like (n, d)

QMC sample.