numpy.random.normal — NumPy v1.16 Manualnumpy.random.normal¶ numpy.random.normal(loc=0.0, scale=1.0, size=None)¶ Draw random samples from a normal (Gaussian) distribution. The probability density function of the normal distribution, first derived by De Moivre and 200 years later by both Gauss and Laplace independently [2], is often called the bell curve because of its characteristic shape (see the example below). The normal distribution
