270 lines
10 KiB
Python
270 lines
10 KiB
Python
#!/usr/bin/env python3
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# -*- coding: utf-8 -*-
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"""
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K/Y/M三链理论可视化工具
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基于权力符号考古学理论，可视化展示三链功能关系和文明发展轨迹
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"""
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import matplotlib.pyplot as plt
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import numpy as np
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from matplotlib.patches import Circle, Wedge, Polygon
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from matplotlib.collections import PatchCollection
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import matplotlib.patches as mpatches
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class KYMChainVisualizer:
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"""K/Y/M三链理论可视化类"""
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def __init__(self):
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self.fig = None
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self.ax = None
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# 三链颜色定义
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self.chain_colors = {
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'K': '#1f77b4', # 蓝色 - 秩序
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'Y': '#2ca02c', # 绿色 - 道德
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'M': '#d62728' # 红色 - 信仰
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}
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# 三链功能描述
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self.chain_descriptions = {
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'K': {'name': 'K链（秩序）', 'function': '宇宙的"主程序"，负责空间秩序'},
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'Y': {'name': 'Y链（道德）', 'function': '"执行者"，负责道德和物理操作'},
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'M': {'name': 'M链（信仰）', 'function': '"信仰"，负责时间预测和救赎'}
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}
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def create_functional_triangle(self, k_weight, y_weight, m_weight, title="三链功能关系图"):
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"""创建三链功能三角形图"""
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self.fig, self.ax = plt.subplots(1, 1, figsize=(10, 8))
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# 创建等边三角形
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triangle_vertices = np.array([
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[0, 0], # K顶点（左下）
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[1, 0], # Y顶点（右下）
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[0.5, np.sqrt(3)/2] # M顶点（顶部）
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])
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# 绘制三角形边框
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triangle = Polygon(triangle_vertices, closed=True,
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fill=False, edgecolor='black', linewidth=2)
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self.ax.add_patch(triangle)
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# 计算重心坐标（功能平衡点）
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total_weight = k_weight + y_weight + m_weight
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k_norm = k_weight / total_weight
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y_norm = y_weight / total_weight
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m_norm = m_weight / total_weight
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# 计算功能点在三角形内的坐标
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x = k_norm * triangle_vertices[0][0] + y_norm * triangle_vertices[1][0] + m_norm * triangle_vertices[2][0]
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y = k_norm * triangle_vertices[0][1] + y_norm * triangle_vertices[1][1] + m_norm * triangle_vertices[2][1]
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# 绘制功能点
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self.ax.scatter(x, y, s=200, c='gold', edgecolors='black', linewidth=2, zorder=5)
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# 绘制到各顶点的连线
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for i, (vertex, color, weight) in enumerate(zip(triangle_vertices,
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[self.chain_colors['K'], self.chain_colors['Y'], self.chain_colors['M']],
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[k_weight, y_weight, m_weight])):
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self.ax.plot([x, vertex[0]], [y, vertex[1]],
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color=color, linewidth=weight*2, alpha=0.7)
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# 添加顶点标签
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self.ax.text(triangle_vertices[0][0]-0.1, triangle_vertices[0][1]-0.1,
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'K链\n秩序', ha='right', va='top',
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bbox=dict(boxstyle="round,pad=0.3", facecolor=self.chain_colors['K'], alpha=0.8))
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self.ax.text(triangle_vertices[1][0]+0.1, triangle_vertices[1][1]-0.1,
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'Y链\n道德', ha='left', va='top',
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bbox=dict(boxstyle="round,pad=0.3", facecolor=self.chain_colors['Y'], alpha=0.8))
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self.ax.text(triangle_vertices[2][0], triangle_vertices[2][1]+0.1,
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'M链\n信仰', ha='center', va='bottom',
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bbox=dict(boxstyle="round,pad=0.3", facecolor=self.chain_colors['M'], alpha=0.8))
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# 添加功能点标签
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self.ax.text(x, y-0.05, f'功能平衡点\nK:{k_weight} Y:{y_weight} M:{m_weight}',
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ha='center', va='top', fontsize=10,
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bbox=dict(boxstyle="round,pad=0.3", facecolor='lightgray'))
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# 设置图形属性
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self.ax.set_xlim(-0.2, 1.2)
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self.ax.set_ylim(-0.2, 1.2)
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self.ax.set_aspect('equal')
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self.ax.axis('off')
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self.ax.set_title(title, fontsize=16, fontweight='bold', pad=20)
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return self.fig, self.ax
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def create_civilization_timeline(self, civilizations_data):
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"""创建文明发展时间线图"""
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fig, ax = plt.subplots(1, 1, figsize=(15, 8))
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# 设置时间轴
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time_range = (-3000, 2000) # 从公元前3000年到公元2000年
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ax.set_xlim(time_range)
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# 创建文明轨迹
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y_positions = {}
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current_y = 0
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for civ in civilizations_data:
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# 为每个文明分配y轴位置
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if civ['name'] not in y_positions:
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y_positions[civ['name']] = current_y
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current_y += 1
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y_pos = y_positions[civ['name']]
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# 绘制文明时间段
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start_time = civ['start']
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end_time = civ['end']
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# 计算三链权重
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k_weight = civ.get('k_weight', 0.33)
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y_weight = civ.get('y_weight', 0.33)
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m_weight = civ.get('m_weight', 0.34)
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# 创建颜色渐变（基于三链权重）
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color = np.array([
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self.chain_colors['K'][0] * k_weight,
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self.chain_colors['Y'][1] * y_weight,
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self.chain_colors['M'][2] * m_weight
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])
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# 绘制时间段
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ax.plot([start_time, end_time], [y_pos, y_pos],
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color=color, linewidth=8, alpha=0.8)
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# 添加文明标签
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ax.text(start_time, y_pos + 0.1, civ['name'],
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fontsize=10, ha='left', va='bottom')
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# 添加三链权重标签
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ax.text((start_time + end_time)/2, y_pos - 0.1,
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f'K:{k_weight:.2f} Y:{y_weight:.2f} M:{m_weight:.2f}',
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fontsize=8, ha='center', va='top')
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# 设置图形属性
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ax.set_xlabel('时间（公元前/公元）', fontsize=12)
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ax.set_ylabel('文明', fontsize=12)
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ax.set_title('文明发展时间线与三链权重变化', fontsize=16, fontweight='bold')
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# 添加图例
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legend_elements = [
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mpatches.Patch(color=self.chain_colors['K'], label='K链（秩序）'),
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mpatches.Patch(color=self.chain_colors['Y'], label='Y链（道德）'),
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mpatches.Patch(color=self.chain_colors['M'], label='M链（信仰）')
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]
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ax.legend(handles=legend_elements, loc='upper right')
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# 添加时间网格
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ax.grid(True, alpha=0.3)
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return fig, ax
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def create_chain_network(self, nodes, edges):
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"""创建三链关联网络图"""
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fig, ax = plt.subplots(1, 1, figsize=(12, 10))
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# 设置节点位置（圆形布局）
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angles = np.linspace(0, 2*np.pi, len(nodes), endpoint=False)
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radius = 5
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node_positions = {}
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for i, node in enumerate(nodes):
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x = radius * np.cos(angles[i])
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y = radius * np.sin(angles[i])
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node_positions[node] = (x, y)
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# 绘制边
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for edge in edges:
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source, target, weight, chain_type = edge
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x1, y1 = node_positions[source]
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x2, y2 = node_positions[target]
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# 根据链类型设置颜色
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color = self.chain_colors.get(chain_type, 'gray')
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# 绘制边
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ax.plot([x1, x2], [y1, y2], color=color,
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linewidth=weight*3, alpha=0.7)
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# 绘制节点
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for node, (x, y) in node_positions.items():
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# 根据节点类型设置颜色
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if 'K' in node:
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color = self.chain_colors['K']
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elif 'Y' in node:
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color = self.chain_colors['Y']
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elif 'M' in node:
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color = self.chain_colors['M']
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else:
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color = 'lightgray'
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# 绘制节点
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ax.scatter(x, y, s=300, c=color, edgecolors='black',
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linewidth=2, alpha=0.8)
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# 添加节点标签
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ax.text(x, y, node, ha='center', va='center',
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fontsize=9, fontweight='bold')
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# 设置图形属性
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ax.set_xlim(-radius-1, radius+1)
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ax.set_ylim(-radius-1, radius+1)
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ax.set_aspect('equal')
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ax.axis('off')
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ax.set_title('三链符号关联网络', fontsize=16, fontweight='bold')
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return fig, ax
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def demo_visualizations():
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"""演示可视化功能"""
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visualizer = KYMChainVisualizer()
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# 演示1：三链功能关系图
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print("=== 演示1：三链功能关系图 ===")
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fig1, ax1 = visualizer.create_functional_triangle(
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k_weight=0.4, y_weight=0.3, m_weight=0.3,
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title="商朝晚期三链功能关系（K链过度）"
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)
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plt.show()
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# 演示2：文明发展时间线
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print("=== 演示2：文明发展时间线 ===")
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civilizations = [
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{'name': '商朝', 'start': -1600, 'end': -1046, 'k_weight': 0.6, 'y_weight': 0.2, 'm_weight': 0.2},
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{'name': '周朝', 'start': -1046, 'end': -256, 'k_weight': 0.3, 'y_weight': 0.5, 'm_weight': 0.2},
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{'name': '罗马帝国', 'start': -27, 'end': 476, 'k_weight': 0.5, 'y_weight': 0.3, 'm_weight': 0.2},
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{'name': '玛雅文明', 'start': 200, 'end': 900, 'k_weight': 0.2, 'y_weight': 0.3, 'm_weight': 0.5},
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{'name': '印加帝国', 'start': 1200, 'end': 1533, 'k_weight': 0.3, 'y_weight': 0.5, 'm_weight': 0.2}
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]
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fig2, ax2 = visualizer.create_civilization_timeline(civilizations)
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plt.show()
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# 演示3：三链关联网络
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print("=== 演示3：三链关联网络 ===")
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nodes = ['昆仑(K)', 'Kósmos(K)', '大禹(Y)', '印加(Y)', '摩西(M)', '玛雅(M)', '秩序', '道德', '信仰']
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edges = [
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('昆仑(K)', '秩序', 0.8, 'K'),
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('Kósmos(K)', '秩序', 0.7, 'K'),
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('大禹(Y)', '道德', 0.9, 'Y'),
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('印加(Y)', '道德', 0.8, 'Y'),
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('摩西(M)', '信仰', 0.9, 'M'),
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('玛雅(M)', '信仰', 0.8, 'M'),
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('秩序', '道德', 0.6, 'K'),
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('道德', '信仰', 0.5, 'Y'),
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('信仰', '秩序', 0.4, 'M')
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]
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fig3, ax3 = visualizer.create_chain_network(nodes, edges)
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plt.show()
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if __name__ == "__main__":
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demo_visualizations() |