import numpy as np
N = 4601
data = np.arange(N*58).reshape(-1, 58)
np.random.shuffle(data)
a = data[:int(N*0.6)]
b = data[int(N*0.6):int(N*0.8)]
c = data[int(N*0.8):]
I am looking for a simple function that can generate an array of specified random values based on their corresponding (also specified) probabilities. I only need it to generate float values, but I don't see why it shouldn't be able …
I want to be able to pick values from a normal distribution that only ever fall between 0 and 1. In some cases I want to be able to basically just return a completely random distribution, and in other cases I want …
I haven't been able to find a function to generate an array of random floats of a given length between a certain range.
I've looked at Random sampling but no function seems to do what I need.
random.uniform comes …