参考链接：https://www.chzzz.club/post/137.html
numpy.random
DESCRIPTION
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Random Number Generation
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Utility functions
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random_sample Uniformly distributed floats over ``[0, 1)``.
random Alias for `random_sample`.
bytes Uniformly distributed random bytes.
random_integers Uniformly distributed integers in a given range.
permutation Randomly permute a sequence / generate a random sequence.
shuffle Randomly permute a sequence in place.
seed Seed the random number generator.
choice Random sample from 1-D array.
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Compatibility functions
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rand Uniformly distributed values.
randn Normally distributed values.
ranf Uniformly distributed floating point numbers.
randint Uniformly distributed integers in a given range.
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解释：
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numpy.random.rand(d0, d1, ..., dn)：生成一个[0,1)之间的随机浮点数或N维浮点数组。
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numpy.random.randn(d0, d1, ..., dn)：生成一个浮点数或N维浮点数组，取数范围：正态分布的随机样本数。
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numpy.random.randint(low, high=None, size=None, dtype='l')：生成一个整数或N维整数数组，取数范围：若high不为None时，取[low,high)之间随机整数，否则取值[0,low)之间随机整数。
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numpy.random.random_integers(low, high=None, size=None)：生成一个整数或一个N维整数数组，取值范围：若high不为None，则取[low,high]之间随机整数，否则取[1,low]之间随机整数。
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numpy.random.random_sample(size=None)：生成一个[0,1)之间随机浮点数或N维浮点数组。
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numpy.random.choice(a, size=None, replace=True, p=None)：从序列a中获取元素，若a为整数，元素取值为np.arange(a)中随机数；若a为数组，取值为a数组元素中随机元素。replace=False表示不能重复，replace=True可以重复。p为与a长度相同的数组，可以决定a中每个元素随机出现的概率。p.sum()=1
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numpy.random.shuffle(x)：对X进行重排序，如果X为多维数组，只沿第一条轴洗牌，输出为None，改变原来的X
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numpy.random.permutation(x)：与numpy.random.shuffle(x)函数功能相同。输出为X洗牌后的新数组，原来的X不变。