使用 matplotlib 時我遇到了一個很奇怪的問題。我有一個循環遍歷模型的不同情況，對于每種情況，我希望它以圖形形式輸出求解的微分方程，然后詢問用戶是否想繼續繪制圖形。這是我目前正在使用的代碼（為簡單起見，只有一個案例）：import mathimport numpy as npimport matplotlib.pyplot as pltfrom scipy.integrate import odeintP1 = 100P2 = 20Pa = 14.6959L = 11.811D = 7/16Ac= math.pi/4*D**2 Ar = .0305 ML = 2.2MP = .31v = .1C = .95k = 1#Defines the Function to Solve the ODEdef dU_dx(U, x):        return [U[1],(P1*Ac-P2*Ac-Pa*Ar-(1-C)*v*U[1]-k*U[0])/(ML+MP)]i =0U0 = [0, 0]t = np.linspace(0, 10, 200)case = input("What state is the loop in (1-4)?")case = int(case)#The While Loop to Iterate through states and output the graph of the ODEwhile i < 2:        if case == 1:        P1 = 100        P2 = 20        dU_dx        Usol = odeint(dU_dx, U0, t)        xsol = Usol[:,0]        plt.plot(t,xsol);        plt.show(block=False)        answer = input("Continue to plot? (y/n) ")                if answer == "y":           case = int(input("Enter the new case number : "))        elif answer == "n":            i = 2              else:            print("Please enter y or n.")    if case == 2:        P1 = 100        P2 = 0        dU_dx        Usol = odeint(dU_dx, U0, t)        xsol = Usol[:,0]        plt.plot(t,xsol);        plt.show(block=False)        answer = input("Continue to plot? (y/n) ")        #The code for states 3 and 4 are identical to the code for states 1 and 2, with different values for P1 and P2. I haven't written them yet, and including them would only make the could longer with no additional insights.    else:        print ("Inproper state!")        case = int(input("Specify a new case number : "))plot 函數的兩個輸入在循環外的函數中定義，并在循環外按預期工作。但是，當代碼運行時，代碼會跳過圖形，然后不會提示用戶輸入并繼續運行。我已經設法通過添加plt.show(block=True)below來顯示圖plt.plot，但是在這樣做之后，代碼仍然會在顯示圖形后停止并且不允許代碼繼續。此循環的最終目標是繪制 ODE 的解，然后詢問用戶是否愿意繪制另一個具有略微不同常數的相同形式的 ODE。我怎樣才能讓 Python 允許我在這個循環中繪制我的函數并允許切換案例？