numpy normal distribution
>>> mu, sigma = 0, 0.1 # mean and standard deviation
>>> s = np.random.normal(mu, sigma, 1000)numpy normal distribution
>>> mu, sigma = 0, 0.1 # mean and standard deviation
>>> s = np.random.normal(mu, sigma, 1000)how to normalize a 1d numpy array
# Foe 1d array
an_array = np.array([0.1,0.2,0.3,0.4,0.5])
norm = np.linalg.norm(an_array)
normal_array = an_array/norm
print(normal_array)
#[0.2,0.4,0.6,0.8,1] (Should be, I didin't run the code)Copyright © 2021 Codeinu
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