python画一个三维装箱问题的模拟图

以下是一个基于 matplotlib 的三维装箱问题模拟图的示例代码：

import matplotlib.pyplot as plt
from mpl_toolkits.mplot3d import Axes3D

fig = plt.figure()
ax = fig.add_subplot(111, projection='3d')

# 定义空间大小
x_range, y_range, z_range = 10, 10, 10

# 定义箱子
box = {'x': 0, 'y': 0, 'z': 0, 'length': 5, 'width': 5, 'height': 5}

# 定义物品
items = [{'x': 1, 'y': 1, 'z': 1, 'length': 2, 'width': 2, 'height': 2},
         {'x': 3, 'y': 3, 'z': 3, 'length': 2, 'width': 2, 'height': 2},
         {'x': 6, 'y': 6, 'z': 6, 'length': 2, 'width': 2, 'height': 2}]

# 画箱子
ax.scatter(box['x'], box['y'], box['z'], s=1000, c='r')
ax.plot([box['x'], box['x'] + box['length']], [box['y'], box['y']], [box['z'], box['z']], c='k')
ax.plot([box['x'], box['x']], [box['y'], box['y'] + box['width']], [box['z'], box['z']], c='k')
ax.plot([box['x'], box['x']], [box['y'], box['y']], [box['z'], box['z'] + box['height']], c='k')
ax.plot([box['x'] + box['length'], box['x'] + box['length']], [box['y'], box['y'] + box['width']], [box['z'], box['z']], c='k')
ax.plot([box['x'] + box['length'], box['x'] + box['length']], [box['y'], box['y']], [box['z'], box['z'] + box['height']], c='k')
ax.plot([box['x'], box['x']], [box['y'] + box['width'], box['y'] + box['width']], [box['z'], box['z'] + box['height']], c='k')
ax.plot([box['x'] + box['length'], box['x'] + box['length']], [box['y'] + box['width'], box['y'] + box['width']], [box['z'], box['z'] + box['height']], c='k')
ax.plot([box['x'], box['x']], [box['y'], box['y']], [box['z'] + box['height'], box['z'] + box['height']], c='k')
ax.plot([box['x'] + box['length'], box['x'] + box['length']], [box['y'], box['y']], [box['z'] + box['height'], box['z'] + box['height']], c='k')
ax.plot([box['x'], box['x']], [box['y'] + box['width'], box['y'] + box['width']], [box['z'] + box['height'], box['z'] + box['height']], c='k')
ax.plot([box['x'] + box['length'], box['x'] + box['length']], [box['y'] + box['width'], box['y'] + box['width']], [box['z'] + box['height'], box['z'] + box['height']], c='k')

# 画物品
for item in items:
    x, y, z = item['x'], item['y'], item['z']
    length, width, height = item['length'], item['width'], item['height']
    ax.scatter(x, y, z, s=100, c='b')
    ax.plot([x, x + length], [y, y], [z, z], c='k')
    ax.plot([x, x], [y, y + width], [z, z], c='k')
    ax.plot([x, x], [y, y], [z, z + height], c='k')
    ax.plot([x + length, x + length], [y, y + width], [z, z], c='k')
    ax.plot([x + length, x + length], [y, y], [z, z + height], c='k')
    ax.plot([x, x], [y + width, y + width], [z, z + height], c='k')
    ax.plot([x + length, x + length], [y + width, y + width], [z, z + height], c='k')
    ax.plot([x, x], [y, y], [z + height, z + height], c='k')
    ax.plot([x + length, x + length], [y, y], [z + height, z + height], c='k')
    ax.plot([x, x], [y + width, y + width], [z + height, z + height], c='k')
    ax.plot([x + length, x + length], [y + width, y + width], [z + height, z + height], c='k')

# 设置坐标轴
ax.set_xlim([0, x_range])
ax.set_ylim([0, y_range])
ax.set_zlim([0, z_range])

# 设置坐标轴标签
ax.set_xlabel('X')
ax.set_ylabel('Y')
ax.set_zlabel('Z')

# 显示图形
plt.show()

运行以上代码，会绘制出一个简单的三维装箱问题模拟图。其中，红色的点表示箱子，蓝色的点表示物品，黑色的线表示箱子和物品的边界。你可以根据具体的需要，修改代码中的箱子和物品的大小和位置，以及空间的大小，来得到更加真实的模拟效果。