Python Matplotlib 散点图绘制：可视化数据趋势

def plot_scatter(txt, window): y_train = [0.724116199, 2.285849418, 0.292243314, 2.895797676, 0.438462215, 1.543319689, 1.169727273, 0.766681439, 0.769798934, 0.440894989, 2.10413745, 2.013255745, 0.781939731, 0.306292184, 0.438392904, 1.665304082, 1.156816479, 1.169240272, 1.563880105, 1.634383048, 1.916477293] x_train = list(range(1, len(y_train) + 1)) text.delete('1.0', END) fig, ax = plt.subplots() ax.scatter(x_train, y_train) ax.set_xlabel('Index') ax.set_ylabel('Value') ax.set_title('Scatter Plot') scatter_window = Toplevel(root) canvas = FigureCanvasTkAgg(fig, master=scatter_window) canvas.draw() canvas.get_tk_widget().pack() toolbar = NavigationToolbar2Tk(canvas, scatter_window) toolbar.update() canvas.get_tk_widget().pack()