How do I make a 2x2 python array, with random normalized values between 0 and 1?-CodePudding

I want the values randomly between 0 and 1 on a normal distrubition and filling a 2x2 array

CodePudding user response：

You can use the softmax function.

import numpy as np
from scipy.special import softmax

x = np.random.rand(2,2)
x = softmax(x)

CodePudding user response：

This should do what you are requesting (see code comments for explanation):

from numpy.random import default_rng

#Create the random number generator
rng = default_rng()

#Create a 2x2 matrix of samples from a normal distribution.
#The values will be normalized later, so the default mean and standard deviation are okay.
vals = rng.standard_normal((2,2)) 

#Normalize values to be between 0 and 1
vals = (vals - vals.min()) / vals.ptp()

With this above method you will always have a zero and always have a 1 in your 2x2 matrix after normalization. I don't know what your use case is, but is this really what you want? Instead perhaps you could set your mean to 0.5, standard deviation to 0.17, and np.clip anything below 0 or above 1? Here's what that would look like:

import numpy as np
mean = 0.5
standard_deviation = 0.17
s = np.random.default_rng().normal(mean, standard_deviation, (2,2))
s = np.clip(s, 0.0, 1.0)

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