button1 = tk.Button(root, text="散点图", bg="light yellow", fg="dark blue", command=import_csv_data, relief="raised", borderwidth=3, activebackground="light blue", activeforeground="black") button1.pack(side="top") #创建一个框架(Frame控件)，用于放置图像。 fig_container = tk.Frame(root) fig_container.pack(side="bottom", fill="x", expand=True) # 添加滚动框架 canvas = tk.Canvas(fig_container) canvas.pack(side="left", fill="both", expand=True) scrollbar = tk.Scrollbar(fig_container, orient="vertical", command=canvas.yview) scrollbar.pack(side="right", fill="y") canvas.configure(yscrollcommand=scrollbar.set) canvas.bind("<Configure>", lambda e: canvas.configure(scrollregion=canvas.bbox("all"))) # 将图像框架放入滚动框架中 frame = tk.Frame(canvas) canvas.create_window((0, 0), window=frame, anchor="nw") def show_figure(): x = df.iloc[:, 0] y = df.iloc[:, 1] if plt.fignum_exists(1): plt.clf() plt.scatter(x, y) # 将图像框架放在滚动框架中 canvas = FigureCanvasTkAgg(plt.gcf(), master=frame) canvas.draw() canvas.get_tk_widget().pack() button1.config(command=lambda: (button1.config(state="disabled"), show_figure())) 在这段代码里添加“折线图”功能

你可以通过在show_figure函数中使用plt.plot()函数来绘制折线图。以下是修改后的代码：

from matplotlib.backends.backend_tkagg import FigureCanvasTkAgg
import matplotlib.pyplot as plt

# ...

def show_figure():
    x = df.iloc[:, 0]
    y = df.iloc[:, 1]

    if plt.fignum_exists(1):
        plt.clf()

    fig, ax = plt.subplots()
    ax.plot(x, y)

    # 将图像框架放在滚动框架中
    canvas = FigureCanvasTkAgg(fig, master=frame)
    canvas.draw()

    canvas.get_tk_widget().pack()

button1.config(command=lambda: (button1.config(state="disabled"), show_figure()))

在这个例子中，我们使用plt.subplots()函数创建一个新的Figure对象和Axes对象，并使用ax.plot()函数绘制折线图。然后，我们将Figure对象传递给FigureCanvasTkAgg()函数，并使用get_tk_widget().pack()将图像框架添加到scrollable frame中。注意，你需要导入FigureCanvasTkAgg类和matplotlib.pyplot模块。