import matplotlib.pyplot as plt
import numpy as np
from mpl_toolkits.mplot3d.art3d import Poly3DCollection# 随机生成建筑块数据
def generate_building_blocks(num_blocks, grid_size=100, height_range=(5, 50), base_size_range=(10, 30)):buildings = []for _ in range(num_blocks):# 随机选择建筑的底面起点x = np.random.uniform(0, grid_size)y = np.random.uniform(0, grid_size)# 随机生成建筑的高度和底面大小dx = np.random.uniform(*base_size_range)dy = np.random.uniform(*base_size_range)dz = np.random.uniform(*height_range)buildings.append([x, y, dx, dy, dz])return buildings# 绘制建筑块
def plot_buildings(buildings, color='skyblue'):fig = plt.figure(figsize=(8, 8))ax = fig.add_subplot(111, projection='3d')for building in buildings:x, y, dx, dy, dz = building# 每个建筑的顶点坐标# vertices = [# [(x, y, 0), (x + dx, y, 0), (x + dx, y + dy, 0), (x, y + dy, 0)], # 底面# [(x, y, dz), (x + dx, y, dz), (x + dx, y + dy, dz), (x, y + dy, dz)], # 顶面# ]vertices = [[(x, y, 0), (x + dx, y, 0), (x + dx, y + dy, 0), (x, y + dy, 0)], # 底面[(x, y, dz), (x + dx, y, dz), (x + dx, y + dy, dz), (x, y + dy, dz)], # 顶面[(x, y, 0), (x + dx, y, 0), (x + dx, y, dz), (x, y, dz)], # 侧面1[(x + dx, y, 0), (x + dx, y + dy, 0), (x + dx, y + dy, dz), (x + dx, y, dz)], # 侧面2[(x, y + dy, 0), (x + dx, y + dy, 0), (x + dx, y + dy, dz), (x, y + dy, dz)], # 侧面3[(x, y, 0), (x, y + dy, 0), (x, y + dy, dz), (x, y, dz)] # 侧面4]# 构建面for v in vertices:ax.add_collection3d(Poly3DCollection([v], color=color, alpha=0.7))# 绘制立方体的竖直边for i in range(4):ax.plot([vertices[0][i][0], vertices[1][i][0]], [vertices[0][i][1], vertices[1][i][1]], [vertices[0][i][2], vertices[1][i][2]], color=color)ax.set_xlabel('X')ax.set_ylabel('Y')ax.set_zlabel('Z')ax.set_box_aspect([1, 1, 0.5]) # 控制显示比例plt.show()# 生成随机建筑数据
buildings = generate_building_blocks(num_blocks=50, grid_size=200)# 绘制随机建筑
plot_buildings(buildings)
import matplotlib.pyplot as plt
import numpy as np
from mpl_toolkits.mplot3d.art3d import Poly3DCollection# 随机生成建筑块数据
def generate_building_blocks(num_blocks, grid_size=100, height_range=(5, 50), base_size_range=(10, 30)):buildings = []for _ in range(num_blocks):# 随机选择建筑的底面起点x = np.random.uniform(0, grid_size)y = np.random.uniform(0, grid_size)# 随机生成建筑的高度和底面大小dx = np.random.uniform(*base_size_range)dy = np.random.uniform(*base_size_range)dz = np.random.uniform(*height_range)buildings.append([x, y, dx, dy, dz])return buildings# 绘制建筑块
# def plot_buildings(buildings, color='skyblue'):
def plot_buildings(buildings, color='skyblue', edge_color='gray', alpha=0.8):fig = plt.figure(figsize=(8, 8))ax = fig.add_subplot(111, projection='3d')ax.view_init(elev=50, azim=60) # 设置视角，elev 为俯仰角，azim 为方位角for building in buildings:x, y, dx, dy, dz = building# 每个建筑的顶点坐标# vertices = [# [(x, y, 0), (x + dx, y, 0), (x + dx, y + dy, 0), (x, y + dy, 0)], # 底面# [(x, y, dz), (x + dx, y, dz), (x + dx, y + dy, dz), (x, y + dy, dz)], # 顶面# ]vertices = [[(x, y, 0), (x + dx, y, 0), (x + dx, y + dy, 0), (x, y + dy, 0)], # 底面[(x, y, dz), (x + dx, y, dz), (x + dx, y + dy, dz), (x, y + dy, dz)], # 顶面[(x, y, 0), (x + dx, y, 0), (x + dx, y, dz), (x, y, dz)], # 侧面1[(x + dx, y, 0), (x + dx, y + dy, 0), (x + dx, y + dy, dz), (x + dx, y, dz)], # 侧面2[(x, y + dy, 0), (x + dx, y + dy, 0), (x + dx, y + dy, dz), (x, y + dy, dz)], # 侧面3[(x, y, 0), (x, y + dy, 0), (x, y + dy, dz), (x, y, dz)] # 侧面4]# 构建面# for v in vertices:# ax.add_collection3d(Poly3DCollection([v], color=color, alpha=0.7))# 构建面，带有透明度和边框for v in vertices:poly = Poly3DCollection([v], facecolors=color, edgecolors=edge_color, linewidths=0.2, alpha=alpha)ax.add_collection3d(poly)# 绘制立方体的竖直边for i in range(4):ax.plot([vertices[0][i][0], vertices[1][i][0]], [vertices[0][i][1], vertices[1][i][1]], [vertices[0][i][2], vertices[1][i][2]], color=color)ax.set_xlabel('X')ax.set_ylabel('Y')ax.set_zlabel('Z')ax.set_box_aspect([1, 1, 0.5]) # 控制显示比例# 设置视角和比例# ax.set_box_aspect([1, 1, 0.3])# ax.set_axis_off() # 隐藏轴以增加美观plt.show()# 生成随机建筑数据
buildings = generate_building_blocks(num_blocks=50, grid_size=200)# 绘制随机建筑
plot_buildings(buildings)
