numpy——random

函数	含义
rand(*dn)	Create an array of the given shape and populate it with random samples from a uniform distribution over [0, 1).
random(arg)	作用与rand差不多，得到的范围也是[0, 1)，但这只能接受一个参数，可以是一个数字，也可以是一个tuple
randn(*dn)	Return a sample (or samples) from the “standard normal” distribution.（得到是符合正态分布的随机数）*dn代表了要生成的是几维的
randint(low, high, size, dtype)	在[low, high)之间，产生离散均匀分布的结果
normal(loc, scale, size)	产生size个正态分布的结果，μ = loc， σ = scale

import numpy as np
print(np.random.rand(3, 4))
print()
print(np.random.random((3,4)))
print()
print(np.random.randn(3,4))
print()
print(np.random.randint(low=2, high=10, size=8))

rand(*dn)

Create an array of the given shape and populate it with random samples from a uniform distribution over [0, 1).

random(arg)

randn(*dn)

Return a sample (or samples) from the “standard normal” distribution.

randint(low, high, size, dtype)

Return random integers from the “discrete uniform” distribution of the specified dtype in the “half-open” interval [low, high). If high is None (the default), then results are from [0, low).