random.
rayleigh
从瑞利分布中提取样本。
这个 威布尔分布是瑞利分布的推广。
注解
新代码应该使用 rayleigh A方法 default_rng() 请参阅 快速启动 .
default_rng()
比例，也等于模式。必须为非负。默认值为1。
输出形状。如果给定的形状是，例如， (m, n, k) 然后 m * n * k 取样。如果尺寸是 None （默认），如果 scale 是标量。否则， np.array(scale).size 取样。
(m, n, k)
m * n * k
None
scale
np.array(scale).size
从参数化瑞利分布中提取样本。
参见
Generator.rayleigh
应该用于新代码。
笔记
瑞利分布的概率密度函数是
System Message: WARNING/2 (p（x；scale）=\frac x scale^2 e \frac-x^2 2\cdotp scale^2)
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例如，如果风速的东、北分量具有相同的零平均高斯分布，则会出现瑞利分布。然后风速会有瑞利分布。
工具书类
Brighton Webs有限公司，“瑞利分销”，https://web.archive.org/web/20090514091424/http://brighton webs.co.uk:80/distributions/rayleigh.asp
维基百科，“瑞利发行版”https://en.wikipedia.org/wiki/rayleigh_发行版
实例
从分布中绘制值并绘制柱状图
>>> from matplotlib.pyplot import hist >>> values = hist(np.random.rayleigh(3, 100000), bins=200, density=True)
波高往往遵循瑞利分布。如果平均波高为1米，那么波的哪一部分可能大于3米？
>>> meanvalue = 1 >>> modevalue = np.sqrt(2 / np.pi) * meanvalue >>> s = np.random.rayleigh(modevalue, 1000000)
大于3米的波浪百分比为：
>>> 100.*sum(s>3)/1000000. 0.087300000000000003 # random