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joelouismarino/1d_non_gaussian_normalization.py

Last active August 6, 2017 19:46
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1d_non_gaussian_normalization.py
import numpy as np
n_samples = 500
mean_1 = 15
std_dev_1 = 5
mean_2 = -20
std_dev_2 = 3
X = np.concatenate([np.random.normal(mean_1, std_dev_1, n_samples / 2),
np.random.normal(mean_2, std_dev_2, n_samples / 2)], axis=0)
Z = (X - np.mean(X)) / np.std(X)
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