Poisson Distribution is a discrete distribution used to estimate how often an event occurs within a specified time frame. For example, if someone eats twice a day, what is the probability they will eat three times?
It has two parameters:
Generate a random 1×10 Poisson distribution with a rate of 2:
| from numpy import random x = random.poisson(lam=2, size=10) print(x) |
| from numpy import random import matplotlib.pyplot as plt import seaborn as sns sns.distplot(random.poisson(lam=2, size=1000), kde=False) plt.show() |
