使用 Python 中的定义创建要覆盖或更多 plt.plot() 的定义

Question

For the life of me I can't figure this out, and I've been at it for a few hours now. I would like to create a chart, that I can overlay multiple charts on. I've created a definition for the chart, but it doesn't return anything (I've tried to modify it to return an ax, but that doesn't work either). As it stands it outputs two seperate charts, perfectly the way I want it to work. However, I'd like it to print 1 chart, with both lines overprinted. Here is where my code is at:

def plot_tera_wasserburg_concordia(lambda238=1.54*10**-10,
                   lambda235=9.72*10**-10,
                   show_ages=True,
                   title="Tera-Wasserburg Concordia Diagram",
                   linecolor="r"):
    df = get_ratio_data(lambda238, lambda235)   # I've defined this elsewhere 
    fig = plt.figure(figsize=(12,16))
    ax = fig.add_subplot()
    ax.spines['right'].set_color('none')
    ax.spines['top'].set_color('none')
    ax.set_xlim([0,35])
    ax.set_ylim([0,0.62])
    plt.xlabel("238U/206Pb", fontsize=16)
    plt.ylabel("207Pb/206Pb", fontsize=16)
    plt.title(title, fontsize=22)
    if show_ages == True:
        get_ages(lambda238, lambda235, 'tw') # I've defined this elsewhere
    plt.plot(df["ratio_238U_206Pb"], df["ratio_207Pb_206Pb"], linecolor, zorder=1)
    
geochron.plot_tera_wasserburg_concordia(show_ages=False)

lambda238=1.55125*10**-10
lambda235=9.8485*10**-10

geochron.plot_tera_wasserburg_concordia(lambda238,
                                        lambda235,
                                        show_ages=False,
                                        linecolor="g")

plt.show()

Answer 1

The problem is that you create the figure inside the function. So you create a new figure every time you call plot_tera_wasserburg_concordia . I suggest you move the common creation/ labels outside the function. That's from the fig = plt.figure(figsize=(12,16)) line until the plt.title(title, fontsize=22) line. Then call the function twice, followed by plt.show()