289 lines
10 KiB
Python
289 lines
10 KiB
Python
#!/usr/bin/env python3
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"""
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东亚生殖崇拜文化传播可视化工具
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East Asian Phallic Worship Cultural Transmission Visualization
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"""
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import matplotlib.pyplot as plt
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import matplotlib.patches as patches
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from datetime import datetime
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import numpy as np
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# 设置中文字体
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plt.rcParams['font.sans-serif'] = ['SimHei', 'DejaVu Sans']
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plt.rcParams['axes.unicode_minus'] = False
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def create_timeline_visualization():
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"""创建文化传播时间线可视化"""
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fig, ax = plt.subplots(figsize=(16, 10))
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# 时间线数据
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events = [
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{"year": 386, "event": "北魏建立", "culture": "鲜卑生殖崇拜文化确立", "color": "#FF6B6B"},
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{"year": 494, "event": "孝文帝汉化改革", "culture": "鲜卑文化与汉文化融合", "color": "#4ECDC4"},
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{"year": 538, "event": "佛教传入日本", "culture": "携带北魏生殖崇拜理念", "color": "#45B7D1"},
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{"year": 593, "event": "圣德太子摄政", "culture": "全面接受大陆文化", "color": "#96CEB4"},
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{"year": 645, "event": "大化改新", "culture": "制度化移植北魏模式", "color": "#FFEAA7"},
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{"year": 710, "event": "奈良时代", "culture": "日本阳具崇拜文化成型", "color": "#DDA0DD"}
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]
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# 绘制时间轴
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years = [event["year"] for event in events]
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y_pos = 0
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# 主时间线
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ax.plot([min(years)-20, max(years)+20], [y_pos, y_pos], 'k-', linewidth=3, alpha=0.7)
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# 绘制事件点和标签
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for i, event in enumerate(events):
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# 事件点
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ax.scatter(event["year"], y_pos, s=200, c=event["color"],
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edgecolors='black', linewidth=2, zorder=5)
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# 事件标签（交替上下排列）
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y_offset = 0.3 if i % 2 == 0 else -0.3
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text_y = y_pos + y_offset
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# 连接线
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ax.plot([event["year"], event["year"]], [y_pos, text_y],
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'k--', alpha=0.5, linewidth=1)
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# 事件文本
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ax.text(event["year"], text_y + (0.1 if y_offset > 0 else -0.1),
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f'{event["year"]}年\n{event["event"]}\n{event["culture"]}',
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ha='center', va='bottom' if y_offset > 0 else 'top',
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bbox=dict(boxstyle="round,pad=0.3", facecolor=event["color"], alpha=0.7),
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fontsize=10, fontweight='bold')
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# 设置图表属性
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ax.set_xlim(350, 750)
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ax.set_ylim(-1, 1)
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ax.set_xlabel('年代 (CE)', fontsize=14, fontweight='bold')
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ax.set_title('东亚生殖崇拜文化传播时间线\n从拓跋鲜卑到日本阳具崇拜',
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fontsize=18, fontweight='bold', pad=20)
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# 隐藏y轴
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ax.set_yticks([])
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ax.spines['left'].set_visible(False)
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ax.spines['right'].set_visible(False)
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ax.spines['top'].set_visible(False)
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# 添加说明文字
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explanation = """
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关键发现：
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• "祖"字 = 示（神灵）+ 且（阳具） = 祖先崇拜实为生殖崇拜
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• 拓跋鲜卑通过政治文化体系将生殖崇拜传播到东亚
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• 日本阳具崇拜文化直接源于北魏时期的文化传播
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"""
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ax.text(0.02, 0.98, explanation, transform=ax.transAxes,
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fontsize=12, verticalalignment='top',
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bbox=dict(boxstyle="round,pad=0.5", facecolor='lightblue', alpha=0.8))
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plt.tight_layout()
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return fig
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def create_cultural_flow_diagram():
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"""创建文化流向图"""
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fig, ax = plt.subplots(figsize=(14, 10))
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# 文化传播节点
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nodes = {
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"鲜卑": {"pos": (2, 8), "color": "#FF6B6B", "size": 1000},
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"北魏": {"pos": (4, 8), "color": "#4ECDC4", "size": 1200},
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"汉文化": {"pos": (6, 6), "color": "#45B7D1", "size": 1000},
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"佛教": {"pos": (8, 8), "color": "#96CEB4", "size": 800},
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"日本": {"pos": (10, 6), "color": "#FFEAA7", "size": 1200},
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"神道教": {"pos": (12, 4), "color": "#DDA0DD", "size": 800}
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}
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# 文化传播箭头
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arrows = [
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("鲜卑", "北魏", "生殖崇拜政治化"),
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("北魏", "汉文化", "文化融合"),
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("北魏", "佛教", "宗教改造"),
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("汉文化", "日本", "制度移植"),
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("佛教", "日本", "宗教传播"),
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("日本", "神道教", "本土化")
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]
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# 绘制节点
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for name, info in nodes.items():
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ax.scatter(info["pos"][0], info["pos"][1], s=info["size"],
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c=info["color"], edgecolors='black', linewidth=2, alpha=0.8)
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ax.text(info["pos"][0], info["pos"][1], name, ha='center', va='center',
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fontsize=12, fontweight='bold', color='white')
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# 绘制箭头
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for start, end, label in arrows:
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start_pos = nodes[start]["pos"]
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end_pos = nodes[end]["pos"]
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# 计算箭头位置
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dx = end_pos[0] - start_pos[0]
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dy = end_pos[1] - start_pos[1]
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# 绘制箭头
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ax.annotate('', xy=end_pos, xytext=start_pos,
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arrowprops=dict(arrowstyle='->', lw=2, color='darkblue'))
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# 添加标签
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mid_x = (start_pos[0] + end_pos[0]) / 2
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mid_y = (start_pos[1] + end_pos[1]) / 2
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ax.text(mid_x, mid_y + 0.2, label, ha='center', va='bottom',
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fontsize=10, bbox=dict(boxstyle="round,pad=0.2",
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facecolor='white', alpha=0.8))
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# 添加"祖"字分析框
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zu_analysis = """
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"祖"字文化密码：
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祖 = 示 + 且
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示：神灵、祭祀
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且：男性生殖器象形
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核心发现：
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祖先崇拜 = 生殖崇拜
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"""
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ax.text(1, 2, zu_analysis, fontsize=11,
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bbox=dict(boxstyle="round,pad=0.5", facecolor='lightyellow', alpha=0.9),
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verticalalignment='top')
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# 添加日本现象框
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japan_phenomena = """
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日本阳具崇拜现象：
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• 金山神社
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• 春祭仪式
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• 相扑文化
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• AV产业
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• 少子化焦虑
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"""
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ax.text(11, 2, japan_phenomena, fontsize=11,
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bbox=dict(boxstyle="round,pad=0.5", facecolor='lightpink', alpha=0.9),
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verticalalignment='top')
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ax.set_xlim(0, 14)
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ax.set_ylim(0, 10)
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ax.set_title('东亚生殖崇拜文化传播流向图\n"祖"字密码的历史传承',
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fontsize=16, fontweight='bold', pad=20)
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ax.axis('off')
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plt.tight_layout()
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return fig
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def create_character_evolution_chart():
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"""创建"祖"字演变图表"""
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fig, ax = plt.subplots(figsize=(12, 8))
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# 字形演变数据
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evolution_stages = [
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{"stage": "甲骨文", "form": "且", "meaning": "男性生殖器象形", "period": "商代"},
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{"stage": "金文", "form": "示且", "meaning": "神灵+生殖器", "period": "周代"},
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{"stage": "小篆", "form": "祖", "meaning": "祖先崇拜确立", "period": "秦代"},
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{"stage": "楷书", "form": "祖", "meaning": "生殖崇拜隐化", "period": "汉代以后"}
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]
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# 绘制演变过程
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x_positions = np.linspace(1, 10, len(evolution_stages))
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for i, stage in enumerate(evolution_stages):
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x = x_positions[i]
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# 绘制字形框
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rect = patches.Rectangle((x-0.8, 4), 1.6, 2,
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linewidth=2, edgecolor='black',
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facecolor='lightblue', alpha=0.7)
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ax.add_patch(rect)
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# 字形
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ax.text(x, 5, stage["form"], ha='center', va='center',
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fontsize=24, fontweight='bold')
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# 阶段名称
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ax.text(x, 6.5, stage["stage"], ha='center', va='center',
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fontsize=12, fontweight='bold')
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# 时期
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ax.text(x, 3.5, stage["period"], ha='center', va='center',
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fontsize=10, style='italic')
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# 含义
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ax.text(x, 2.5, stage["meaning"], ha='center', va='center',
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fontsize=10, wrap=True)
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# 连接箭头
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if i < len(evolution_stages) - 1:
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next_x = x_positions[i+1]
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ax.annotate('', xy=(next_x-0.8, 5), xytext=(x+0.8, 5),
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arrowprops=dict(arrowstyle='->', lw=2, color='red'))
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# 添加核心发现
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discovery_text = """
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重大发现：
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"祖"字从甲骨文到现代汉字的演变过程中，
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始终保持着生殖崇拜的文化内核。
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这证明了：
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1. 祖先崇拜本质上是生殖崇拜
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2. 这种文化基因通过汉字传播到整个东亚
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3. 日本的阳具崇拜文化有着深厚的历史根源
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"""
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ax.text(5.5, 0.5, discovery_text, ha='center', va='bottom',
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fontsize=12, bbox=dict(boxstyle="round,pad=0.5",
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facecolor='lightyellow', alpha=0.9))
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ax.set_xlim(0, 11)
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ax.set_ylim(0, 7)
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ax.set_title('"祖"字演变与生殖崇拜文化传承',
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fontsize=16, fontweight='bold', pad=20)
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ax.axis('off')
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plt.tight_layout()
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return fig
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def generate_all_visualizations():
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"""生成所有可视化图表"""
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print("🎨 生成东亚生殖崇拜文化传播可视化图表...")
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# 创建输出目录
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import os
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output_dir = "output/cultural_transmission_viz"
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os.makedirs(output_dir, exist_ok=True)
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# 生成时间线图
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print("📅 生成文化传播时间线...")
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fig1 = create_timeline_visualization()
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fig1.savefig(f"{output_dir}/cultural_transmission_timeline.png",
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dpi=300, bbox_inches='tight')
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plt.close(fig1)
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# 生成流向图
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print("🌊 生成文化流向图...")
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fig2 = create_cultural_flow_diagram()
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fig2.savefig(f"{output_dir}/cultural_flow_diagram.png",
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dpi=300, bbox_inches='tight')
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plt.close(fig2)
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# 生成字形演变图
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print("📝 生成'祖'字演变图...")
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fig3 = create_character_evolution_chart()
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fig3.savefig(f"{output_dir}/zu_character_evolution.png",
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dpi=300, bbox_inches='tight')
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plt.close(fig3)
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print(f"✅ 所有图表已保存到 {output_dir}/ 目录")
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print("\n🎯 可视化图表说明：")
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print("1. cultural_transmission_timeline.png - 文化传播时间线")
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print("2. cultural_flow_diagram.png - 文化流向关系图")
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print("3. zu_character_evolution.png - '祖'字演变分析图")
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return output_dir
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if __name__ == "__main__":
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generate_all_visualizations() |