Mathematics.
represents the standard deviation of the distribution. Now the normal distribution is defined as : mu, sig = 10, 5 x = np.arange(0,20,.1) y = 1/(sig*np.sqrt(2*np.pi)) * np.exp(-(x-mu)**2/(2*sig**2)) plt.plot(x,y,linewidth=3) plt.show() A normal distribution with μ = 10 and σ = 5, looks like :