dpnp.random.binomial

dpnp.random.binomial(n, p, size=None)

Draw samples from a binomial distribution.

For full documentation refer to numpy.random.binomial.

Limitations

Output array data type is dpnp.int32. Parameters n and p are supported as scalar. Otherwise, numpy.random.binomial(n, p, size) samples are drawn.

Examples

Draw samples from the distribution:

>>> n, p = 10, .5  # number of trials, probability of each trial
>>> s = dpnp.random.binomial(n, p, 1000)
# result of flipping a coin 10 times, tested 1000 times.
A real world example. A company drills 9 wild-cat oil exploration
wells, each with an estimated probability of success of 0.1. All nine
wells fail. What is the probability of that happening?
Let's do 20,000 trials of the model, and count the number that
generate zero positive results.
>>> sum(dpnp.random.binomial(9, 0.1, 20000) == 0)/20000.
# answer = 0.38885, or 38%.