using MarkovProcesses using PyPlot
load_model("sir")
σ = simulate(SIR) plt.figure()
plt.step(σ["times"], σ["I"], "ro--", marker="x", where="post", linewidth=1.0)
plt.savefig("sim_sir.png") plt.close()