Answers for "numpy normalize numpy"

numpy normal distribution

>>> mu, sigma = 0, 0.1 # mean and standard deviation
>>> s = np.random.normal(mu, sigma, 1000)

normalize numpy array

norm = np.linalg.norm(an_array_to_normalize)

    normal_array = an_array_to_normalize/norm

or for pixels to be obtained in my case. This can be used to map values to another scale from the current scale of values.

    scaled_array = (array/np.float(np.max(array)) )*255.