Python中的全范围随机数 [英] Full-range random number in Python

问题描述

我正在使用此行生成一系列随机浮点数:

I'm generating a series of random floats using this line:

random.random()*(maxval-minval) + minval

我正在使用它来将可变噪声添加到给定变量中，并且添加的噪声量取决于一系列因素.在某些情况下，噪声应该很高，以至于在实践中会丢失原始值，而我则拥有一个完全随机的值.

I'm using it to add variable noise to a given variable, and the amount of noise added depends on a series of factors. In some cases, the noise should be so high that in practice the original value is lost, and I have a completely random value.

在这种情况下，代码适用于有限值，但是如果我使用"inf"，它将返回NaN.有没有变通办法允许连续的随机范围可能包括无穷大?我不想篡改os.random()，因为它是特定于计算机的.

In this context, the code works works with finite values, but if I use "inf" it returns NaN. Is there a workaround to allow a continuos random range that might include the infinity? I don't want to tamper with os.random() as it is machine-specific.

推荐答案

在评论中讨论之后，我提出以下建议:

After the discussion in comments i suggest the following :

>>> m=sys.maxint
>>> np.random.uniform(-m,m,5)
array([ -5.32362215e+18,  -2.90131323e+18,   5.14492175e+18,
        -5.64238742e+18,  -3.49640768e+18])

据说，您可以使用sys.maxint来获取最大整数，然后可以使用np.random.randint来获取maxint和-maxint之间的随机数.

As is said the you can get the max integer with sys.maxint then you can use np.random.randint to get a random number between the maxint and -maxint.

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