- Generator.geometric(self, p, size=None)
Draws samples from a geometric distribution.
Bernoulli trials are experiments with one of two outcomes: success or failure (an example of such an experiment is flipping a coin). The geometric distribution models the number of trials that must be run in order to achieve success. It is therefore supported on the positive integers,
k = 1, 2, ....
The probability mass function of the geometric distribution is
where p is the probability of success of an individual trial.
The probability of success of an individual trial.
- sizeint or tuple of ints, optional
Output shape. If the given shape is, e.g.,
(m, n, k), then
m * n * ksamples are drawn.
Drawn samples from the parameterized geometric distribution.
If p is neither a scalar nor None : NotImplementedError occurs.
Draw ten thousand values from the geometric distribution, with the probability of an individual success equal to 0.35:
>>> import nlcpy as vp >>> z = vp.random.default_rng().geometric(p=0.35, size=10000)
How many trials succeeded after a single run?
>>> vp.sum(z == 1) / 10000. array(0.3453) # random