各种numpy随机函数之间的区别 [英] Difference between various numpy random functions

问题描述

numpy.random 模块定义了以下4个似乎都返回的函数来自连续均匀分布的float betweeb [0，1.0).这些功能之间有什么区别(如果有)?

The numpy.random module defines the following 4 functions that all seem to return a float betweeb [0, 1.0) from the continuous uniform distribution. What (if any) is the difference between these functions?

random_sample([size])返回半开间隔[0.0，1.0)中的随机浮点数.

random_sample([size]) Return random floats in the half-open interval [0.0, 1.0).

random([size])返回半开间隔[0.0，1.0)中的随机浮点数.

random([size]) Return random floats in the half-open interval [0.0, 1.0).

ranf([size])返回半开间隔[0.0，1.0)中的随机浮点数.

ranf([size]) Return random floats in the half-open interval [0.0, 1.0).

sample([size])返回半开间隔[0.0，1.0)中的随机浮点数.

sample([size]) Return random floats in the half-open interval [0.0, 1.0).

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我在numpy.random支持@askewchan答案的源代码中找到了以下内容:

I found the following in numpy.random source code that supports @askewchan's answer:

# Some aliases:
ranf = random = sample = random_sample
__all__.extend(['ranf','random','sample'])

推荐答案

没事.

它们只是random_sample的别名:

In [660]: np.random.random
Out[660]: <function random_sample>

In [661]: np.random.ranf
Out[661]: <function random_sample>

In [662]: np.random.sample
Out[662]: <function random_sample>

In [663]: np.random.random_sample is np.random.random
Out[663]: True

In [664]: np.random.random_sample is np.random.ranf
Out[664]: True

In [665]: np.random.random_sample is np.random.sample
Out[665]: True

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