方法
random.RandomState.
geometric
从几何分布中提取样本。
伯努利试验是两种结果中的一种：成功或失败（这种试验的一个例子是掷硬币）。几何分布模拟了为取得成功必须进行的试验次数。因此，正整数支持它， k = 1, 2, ... .
k = 1, 2, ...
几何分布的概率质量函数是
System Message: WARNING/2 (f（k）=（1-p）^ k-1 p)
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在哪里？ p 是个体试验成功的概率。
注解
新代码应该使用 geometric A方法 default_rng() 请参阅 快速启动 .
default_rng()
个体试验成功的概率。
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 p 是标量。否则， np.array(p).size 取样。
(m, n, k)
m * n * k
None
p
np.array(p).size
从参数化几何分布中提取样本。
参见
Generator.geometric
应该用于新代码。
实例
从几何分布中得出一万个值，个体成功的概率等于0.35：
>>> z = np.random.geometric(p=0.35, size=10000)
一次测试成功了多少次？
>>> (z == 1).sum() / 10000. 0.34889999999999999 #random