poisson

numeric.random.poisson(lam=1.0, size=None)

Draw samples from a Poisson distribution.

Parameters:

• lam – (float) Expectation of interval, should be >= 0.

• size – (int or tuple) Output shape. If the given shape is, e.g., (m, n, k), then m * n * k samples are drawn. Default is None, in which case a single value is returned.

Returns:

(float or array) Drawn samples from the parameterized Poisson distribution.

Examples:

>>> random.poisson(5, 100)
array([5, 5, 5, 6, 6, 2, 7, 5, 4, 4, 4, 7, 7, 6, 4, 5, 5, 5, 5, 3, 6, 2, 6, 3, 3, 4, 6, 6, 5, 4, 6, 3, 3, 6, 4, 5, 9, 1, 3, 4, 3, 6, 6, 5, 4, 3, 5, 4, 9, 3, 6, 5, 5, 1, 6, 6, 1, 4, 13, 4, 3, 2, 5, 3, 2, 1, 4, 1, 2, 8, 6, 7, 5, 2, 6, 5, 6, 2, 5, 4, 4, 6, 5, 4, 3, 3, 4, 3, 4, 12, 9, 6, 4, 3, 5, 5, 4, 8, 4, 8])