您需要?jiǎng)?chuàng)建一個(gè)函數(shù)來一次性處理輸入、積分和繪圖 ( sir_interactive_func)，見下文：# For integration.import scipy.integrate # For arrays (Python does not have native arrays).import numpy as np# For graphing.import matplotlib.pyplot as plt # Prevents the pop-up graphs in a separate window.get_ipython().run_line_magic('matplotlib', 'inline')# Allows for an interactive widget bar.from ipywidgets import interactive S0 = 0.95I0 = 0.05R0 = 0.0def SIR_model(y, t, beta, gamma):    S, I, R = y        dS_dt = -beta*S*I    dI_dt = beta*S*I - gamma*I    dR_dt = gamma*I        return([dS_dt, dI_dt, dR_dt,])    def sir_interactive_func(beta, gamma):        # Graph from 0 to 100, include 10000 points.    t = np.linspace(0, 100, 10000)         solution = scipy.integrate.odeint(SIR_model, [S0, I0, R0], t, args=(beta, gamma))    solution = np.array(solution)    plt.figure(figsize=[8, 5])    plt.plot(t, solution[:, 0], label="S(t)")    plt.plot(t, solution[:, 1], label="I(t)")    plt.plot(t, solution[:, 2], label="R(t)")    plt.grid()    plt.legend()    plt.title("SIR Model")    plt.xlabel("Time")    plt.ylabel("Proportions of Populations")    interactive_plot = interactive(sir_interactive_func, beta=(0.35,1,0.01), gamma=(0.1,1,0.01))interactive_plot