61 lines
1.7 KiB
Python
61 lines
1.7 KiB
Python
import matplotlib.pyplot as plt
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from mpl_toolkits.mplot3d import Axes3D
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import numpy as np
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from matplotlib import rcParams
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# 设置中文字体和符号显示
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rcParams['font.sans-serif'] = ['SimHei'] # 或者使用 ['Microsoft YaHei']
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rcParams['axes.unicode_minus'] = False # 用来正常显示负号
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# 定义节点和边
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nodes = {
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0: '原材料供应商',
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1: '零部件制造商',
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2: '产品制造商',
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3: '分销商',
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4: '零售商'
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}
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edges = [
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(0, 1), # 原材料供应商 -> 零部件制造商
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(1, 2), # 零部件制造商 -> 产品制造商
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(2, 3), # 产品制造商 -> 分销商
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(3, 4) # 分销商 -> 零售商
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]
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# 定义节点的三维坐标 (x, y, z)
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positions = {
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0: (0, 0, 0), # 原材料供应商
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1: (1, 0, 1), # 零部件制造商
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2: (2, 0, 2), # 产品制造商
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3: (3, 0, 3), # 分销商
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4: (4, 0, 4) # 零售商
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}
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# 创建3D图形
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fig = plt.figure()
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ax = fig.add_subplot(111, projection='3d')
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# 绘制节点
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for node, (x, y, z) in positions.items():
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ax.scatter(x, y, z, color='b', s=100) # 绘制每个节点
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ax.text(x, y, z, nodes[node], size=12, zorder=1, color='k') # 添加节点标签
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# 绘制边（箭头）
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for start, end in edges:
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start_pos = positions[start]
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end_pos = positions[end]
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ax.plot([start_pos[0], end_pos[0]],
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[start_pos[1], end_pos[1]],
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[start_pos[2], end_pos[2]], color='r') # 连接每对节点
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# 设置坐标轴标签
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ax.set_xlabel('X轴')
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ax.set_ylabel('Y轴')
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ax.set_zlabel('Z轴')
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# 设置视角以便更好地观察3D图形
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ax.view_init(elev=20., azim=-35) # 角度可根据需要调整
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# 显示3D图形
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plt.show()
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