Python 中的 sympy.stats.Binomial()函数
借助 sympy.stats.Binomial() 方法，我们可以创建一个表示二项分布的有限随机变量。
二项式分布是实验或调查中重复多次的成功或失败结果的概率。
Syntax: sympy.stats.Binomial(name, n, p, succ=1, fail=0)
Parameters:
name: distribution name
n: Positive Integer, represents number of trials
p: Rational Number between 0 and 1, represents probability of success
succ: Represents event of success, by default is 1
fail: Represents event of failure, by default is 0
示例#1 :
蟒蛇 3
# Import sympy, Binomial, density
from sympy.stats import Binomial, density
# Using sympy.stats.Binomial() method
X = Binomial('X', 4, 1 / 3)
binDist = density(X).dict
print(binDist)
输出:
{0: 16/81, 1: 32/81, 2: 8/27, 3: 8/81, 4: 1/81}
例 2 :
蟒蛇 3
# Import sympy, Binomial, density
from sympy.stats import Binomial, density
# Using sympy.stats.Binomial() method
X = Binomial('X', 4, 1 / 3, 1 / 2)
binDist = density(X).dict
print(binDist)
输出:
{0: 16/81, 1/2: 32/81, 2: 1/81, 3/2: 8/81, 1: 8/27}
