我试着写一个代码多个情节，但我不认为这是可能的。所以，我想出了一个主意-当你运行代码，所有的情节显示：
x1c 0d1x的数据
然后你可以点击其中一个。例如，如果你点击第二个图，它会像这样打开，

的
您可以点击这个图，它将显示标记并在终端中输出坐标。如果您想访问其他图，只需关闭此窗口。3个图将出现。然后您可以选择例如，第三个。然后如果您想终止代码，只需关闭原始窗口（具有所有3个子图的窗口）
下面是我的代码：

# Import modules
import numpy as np 
import matplotlib.pyplot as plt 
from matplotlib.animation import FuncAnimation
# ------------------------------------------------------------------------------------------------------------------------------------------- #

# Test data
x = np.arange(0.0, 10.0, 1.0)
y1 = x
y2 = x**2
y3 = x**3
# 
x_data = [x, x, x]
y_data = [y1, y2, y3]
#
colors = ["red", "blue", "green"]  # color to identify which data is viewed
# ------------------------------------------------------------------------------------------------------------------------------------------- #

while True:

     # Define the figure and axes of each subplot
     # Documentation https://matplotlib.org/stable/gallery/subplots_axes_and_figures/subplots_demo.html
     fig, axs = plt.subplots(1, len(x_data), figsize=(16,16))

     # Axis added when viewing one subplot
     ax_added = None

     # Plot the data in each plot
     for i in range(len(x_data)):
          axs[i].plot(x_data[i], y_data[i], color=colors[i])
     # ------------------------------------------------------------------------------------------------------------------------------------------- #

     # Variable that stores which subplot is selected
     ax_selected_index = None
     ax_selected_index_copy = None

     # Boolean that keeps track if only one plot is displayed
     selected = False

     # Function to retrieve which subplot has been clicked
     def onClick1(event):
          global axs, ax_selected_index, ax_selected_index_copy

          # Iterate through each plot
          for i in range(len(axs)):

               # Check which plot has been clicked
               # Answer from https://stackoverflow.com/questions/25047846/determine-button-clicked-subplot
               if (event.inaxes == axs[i]):
                    
                    ax_selected_index = i
                    ax_selected_index_copy = i

                    return
     # ----- #

     # Define the coordinates of the mouse when clicked
     mouse_pos_click = [None, None]

     # Function to get mouse coordinates
     def onClick2(event):
          global mouse_pos_click

          # Saves x and y coordinates of mouse
          mouse_pos_click = [event.xdata, event.ydata]
     # ----- #

     def on_close(event):
          global selected

          # Close on first window
          if not selected:
               exit()
     # ----- #

     def animate(i):
          global axs, ax_selected_index, selected, mouse_pos_click, ax_selected_index_copy, ax_added

          # Exit if the user close the first window
          fig.canvas.mpl_connect('close_event', on_close)

          # Retrieve the clicked mouse coordinates
          # If mouse is click --> run onClick1 event
          plt.connect('button_press_event', onClick1)

          # Check whether user has clicked a subplot
          if ax_selected_index != None:
               
               for ax in axs:
                    # Hide X and Y axes label marks
                    ax.xaxis.set_tick_params(labelbottom=False)
                    ax.yaxis.set_tick_params(labelleft=False)

                    # Hide X and Y axes tick marks
                    ax.set_xticks([])
                    ax.set_yticks([])

               # Add another plot "on top" of axs
               ax_added = fig.add_subplot()
               # Plot the required graph
               ax_added.plot(x_data[ax_selected_index], y_data[ax_selected_index], color=colors[ax_selected_index]) 

               # Reset the selected index 
               ax_selected_index = None

               # Update the boolean
               selected = True

          if selected:

               # Retrieve the coordinates of the mouse
               plt.connect('button_press_event', onClick2)

               # Check if user has clicked
               if mouse_pos_click[0] != None:

                    # Find the closest actual value
                    indx = (np.abs(x_data[ax_selected_index_copy]-mouse_pos_click[0])).argmin()

                    # Clear the plot
                    ax_added.clear()
                    # Plot the line
                    ax_added.plot(x_data[ax_selected_index_copy], y_data[ax_selected_index_copy], color=colors[ax_selected_index_copy])
                    # Scatter the point
                    ax_added.scatter(x_data[ax_selected_index_copy][indx], y_data[ax_selected_index_copy][indx], color="black", s=50)

                    # Reset the mouse position
                    mouse_pos_click = [None, None]
                    
                    # Output the coordinates
                    print(f"Figure : {ax_selected_index_copy}")
                    print(f"x = {x_data[ax_selected_index_copy][indx]}, y = {y_data[ax_selected_index_copy][indx]}")
                    print("\n")
          

     animation = FuncAnimation(fig, animate, interval=50)

     # Display the plot
     plt.show()
     # ------------------------------------------------------------------------------------------------------------------------------------------- #

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我希望这对你有帮助！

我能够弄清楚它。某种程度上，问题在于循环.我不知道确切的原因，但当我把数字放入字典，然后单独执行点击事件时，它工作了。但是，当我试图通过循环来做这件事时，它不工作。如果有人知道这种奇怪行为的原因，我很乐意得到解释。
然而，我最终解决这个问题的方法是添加一个函数，它执行click事件。通过这样做，我可以再次使用循环。

def access_click_event(figure,x,y):
    figure.canvas.mpl_connect('button_press_event', lambda event: onclick(event,x,y,figure))

figures = {}
for n,f in enumerate(functions):
    fig, ax1 = plt.subplots(1)
    figures[n] = fig
    ax1.plot(f[0],f[1])
    access_click_event(figures[n],f[0],f[1])

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