  A practical and accessible introduction to most probable phase portraits is
given. The reader is assumed to be familiar with stochastic differential
equations and Euler-Maruyama method in numerical simulation. The article first
introduce the method to obtain most probable phase portraits and then give its
numerical simulation which is based on Euler-Maruyama method. All of these are
given by examples and easy to understand.
