Source code for simplestatistics.statistics.poisson

import math # to use math.e to get Euler's number
from .factorial import factorial

[docs]def poisson(lam, k = list(range(0, 21)), decimals = 4): """ The `Poisson distribution`_ is, quoting from the Wikipedia page: ... a discrete probability distribution that expresses the probability of a given number of events occurring in a fixed interval of time and/or space if these events occur with a known average rate and independently of the time since the last event. .. _`Poisson distribution`: This function calculates the probability of events for a Poisson distribution. An event can occur 0, 1, 2,... times in an interval. The average number of events in an interval is designated :math:`\\lambda` (lambda). Lambda is the event rate, also called the rate parameter. The probability of observing :math:`k` events in an interval is given by the equation: .. math:: P(k) = \\frac{\\lambda^k e^{-\\lambda}}{k!} :math:`\\lambda` is the average number of events per interval :math:`e` is the number 2.71828... (Euler's number) :math:`k` is the number of events, takes values 0, 1, 2... If provided with a :math:`k` value or list of values, the function will return the probabilities for those values. Otherwise, the function will return the probabilities for k = [0, 1, 2... 20]. Args: lam: Value for *lambda*. Has to be a positive value k: Value for *k*. Default is [0, 1, 2... 20] decimals: (optional) number of decimal points (default is 4) Returns: A value or list of values for the probability(ies) of observing the one or more provided *k* values given provided *lamda*. Examples: >>> poisson(3, 3) 0.224 >>> poisson(3, [0, 1, 2, 3]) [0.0498, 0.1494, 0.224, 0.224] >>> poisson(5.5, 7) 0.1234 >>> poisson(-3) Traceback (most recent call last): ... ValueError: lambda has to be a positive value. """ if lam <= 0: raise ValueError('lambda has to be a positive value.') if type(k) is int: p = (pow(math.e, -lam) * pow(lam, k)) / factorial(k) return(round(p, decimals)) elif type(k) is list: ps = [] for kx in k: p = (pow(math.e, -lam) * pow(lam, kx)) / factorial(kx) ps.append(round(p, decimals)) return(ps)