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title: Numpy
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date: 2020-11-01 16:09:48
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updated: 2020-12-20 21:02:42
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---
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### 1，np.random.choice的用法
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import numpy as np
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# 参数意思分别 是从a 中以概率P，随机选择3个, p没有指定的时候相当于是一致的分布
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a1 = np.random.choice(a=5, size=3, replace=False, p=None)
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print(a1)
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# 非一致的分布，会以多少的概率提出来
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a2 = np.random.choice(a=5, size=3, replace=False, p=[0.2, 0.1, 0.3, 0.4, 0.0])
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print(a2)
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# replacement 代表的意思是抽样之后还放不放回去，如果是False的话，那么出来的三个数都不一样，如果是
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True的话， 有可能会出现重复的，因为前面的抽的放回去了。
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————————————————
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版权声明：本文为CSDN博主「qfpkzheng」的原创文章，遵循CC 4.0 BY-SA版权协议，转载请附上原文出处链接及本声明。
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原文链接：[https://blog.csdn.net/qfpkzheng/article/details/79061601](https://blog.csdn.net/qfpkzheng/article/details/79061601)
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