Delete 1.py
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suixin1424
130
1.py
130
1.py
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import math
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import random
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import tkinter as tk
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import matplotlib.pyplot as plt
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import csv
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from tkinter import Label
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# 创建窗口
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root = tk.Tk()
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root.attributes('-fullscreen', True) # 全屏显示
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label_n = Label(root, text="n: 0", font=("Helvetica", 16))
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label_n.pack()
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csv_file_path = "mouse_data.csv"
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screen_width = root.winfo_screenwidth()
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screen_height = root.winfo_screenheight()
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# 设置小球的初始位置
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ball1_pos = (screen_width/2, screen_height/2)
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ball2_pos = (ball1_pos[0] + random.randint(-200, 200),ball1_pos[1] + random.randint(-200, 200))
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# 设置小球的半径
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ball_radius = 20
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# 设置鼠标记录状态
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recording = False
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mouse_path = []
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n=0
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# 鼠标移动事件处理函数
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def motion(event):
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global recording, mouse_path, n
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if recording:
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mouse_path.append((event.x, event.y))
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# 鼠标点击事件处理函数
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def mouse_click(event):
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global recording, mouse_path, ball2_pos, n
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if event.x >= ball1_pos[0] - ball_radius and event.x <= ball1_pos[0] + ball_radius and event.y >= ball1_pos[1] - ball_radius and event.y <= ball1_pos[1] + ball_radius:
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recording = True
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mouse_path = [(event.x, event.y)]
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elif event.x >= ball2_pos[0] - ball_radius and event.x <= ball2_pos[0] + ball_radius and event.y >= ball2_pos[1] - ball_radius and event.y <= ball2_pos[1] + ball_radius:
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recording = False
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canvas.delete("ball2")
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#visualize_path(mouse_path) # 可视化鼠标轨迹
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save_to_csv(mouse_path)
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n = n+1
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if n == 100:
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root.destroy()
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label_n.config(text=f"n: {n}")
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mouse_path = []
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# 重新生成第二个小球的位置
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ball2_pos = (ball1_pos[0] + random.randint(-200, 200), ball1_pos[1] + random.randint(-200, 200))
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# 绘制新的第二个小球
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canvas.create_oval(ball2_pos[0]-ball_radius, ball2_pos[1]-ball_radius, ball2_pos[0]+ball_radius, ball2_pos[1]+ball_radius, fill="blue", tags="ball2")
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# 键盘事件处理函数
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def key(event):
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if event.keysym == "Escape":
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root.destroy()
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def save_to_csv(path):
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# 将路径坐标转换为相对于起点的坐标
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x_rel = [px - path[0][0] for px, py in path]
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y_rel = [-(py - path[0][1]) for px, py in path]
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# 计算每个点相对于起点的距离，用于z轴表示
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distances = [math.sqrt((x_rel[0] - px)**2 + (y_rel[0] - py)**2) for px, py in zip(x_rel, y_rel)]
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# 选择10个关键点
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key_points_indices = [int(i) for i in range(0, len(path), max(1, len(path)//10))]
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key_points_x = [x_rel[i] for i in key_points_indices]
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key_points_y = [y_rel[i] for i in key_points_indices]
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key_points_distances = [distances[i] for i in key_points_indices]
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# 打开 CSV 文件进行写操作
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with open(csv_file_path, mode='a', newline='') as csv_file:
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csv_writer = csv.writer(csv_file, delimiter=',', quotechar='"', quoting=csv.QUOTE_MINIMAL)
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# 写入一行数据
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csv_writer.writerow([f"{key_points_x[-1]},{key_points_y[-1]}"] + [f"{key_points_x[i]},{key_points_y[i]}" for i in range(0,10)])
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def visualize_path(path):
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# 将路径坐标转换为相对于起点的坐标
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x_rel = [px - path[0][0] for px, py in path]
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y_rel = [-(py - path[0][1]) for px, py in path]
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# 计算每个点相对于起点的距离，用于z轴表示
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distances = [math.sqrt((x_rel[0] - px)**2 + (y_rel[0] - py)**2) for px, py in zip(x_rel, y_rel)]
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# 选择10个关键点
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key_points_indices = [int(i) for i in range(0, len(path), max(1, len(path)//10))]
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key_points_x = [x_rel[i] for i in key_points_indices]
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key_points_y = [y_rel[i] for i in key_points_indices]
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key_points_distances = [distances[i] for i in key_points_indices]
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# 使用z轴信息，通过颜色表示距离的远近
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plt.scatter(key_points_x, key_points_y, c=key_points_distances, cmap='viridis', marker='o', s=50)
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# 在关键点位置添加文本标签，显示终点到起点的距离
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plt.text(key_points_x[-1], key_points_y[-1], f'Distance to Origin: {key_points_distances[-1]:.2f}', ha='right', va='bottom', bbox=dict(facecolor='white', alpha=0.5))
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# 添加颜色条，表示z轴信息
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plt.colorbar(label='Distance to Endpoint')
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plt.show()
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# 绘制小球
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canvas = tk.Canvas(root, width=root.winfo_screenwidth(), height=root.winfo_screenheight())
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canvas.pack()
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canvas.create_oval(ball1_pos[0]-ball_radius, ball1_pos[1]-ball_radius, ball1_pos[0]+ball_radius, ball1_pos[1]+ball_radius, fill="red")
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canvas.create_oval(ball2_pos[0]-ball_radius, ball2_pos[1]-ball_radius, ball2_pos[0]+ball_radius, ball2_pos[1]+ball_radius, fill="blue", tags="ball2")
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# 绑定鼠标事件
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canvas.bind('<Motion>', motion)
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canvas.bind('<Button-1>', mouse_click)
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# 绑定键盘事件
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root.bind('<Key>', key)
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# 运行窗口
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root.mainloop()
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