文档介绍：numpy 的 random 模块
随机抽样
() 简单的随机数据
rand(d0,
d1, ...
numpy 的 random 模块
随机抽样
() 简单的随机数据
rand(d0,
d1, ..., dn)随机值 >>> (3,2)
array([[ , ], #random
[ , ], #random
[ , ]]) #randomrandn(d0,
d1, ..., dn)返回一个样本，具有标准正态分布。 NotesFor
random samples from [R217]). ExamplesDraw samples from the distribution:>>> mu, sigma = 0, # mean and standard deviation
>>> s = (mu, sigma, 1000)Verify the
mean and the variance:>>> abs(mu - (s)) <
True
>>> abs(sigma - (s, ddof=1)) < TrueDisplay the histogram of the samples, along with the probability density function:>>> import as plt
>>> count, bins, ignored = (s, 30, normed=True)
>>> (bins, 1/(sigma * (2 * )) *
... ( - (bins - mu)**2 / (2 *
sigma**2) ),
... linewidth=2, color= ‘ r ‘)
>>> () pareto(a[, size]) 帕累托（ Lomax ）分布 poisson([lam, size]) 泊松分布 power(a[, size])Draws samples in [0, 1] from a power di