Python Specials #6 Poisson Distribution
The Poisson distribution models the probability of a certain number of events occurring in a fixed interval of time or space, given that the events occur independently and at a constant average rate mu.
The distribution is parameterized by a single value, mu, which represents the average rate of occurrence. The Poisson distribution gives the probability of observing k events in a fixed interval of time or space.
In the code example, we create a poisson object from the scipy.stats module with the given value of mu, and then use its pmf method to calculate the probability of observing 3 events in the interval. We also use its rvs method to generate a sample of 10 outcomes from the distribution, and plot the PMF of the distribution using matplotlib.
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