lead/netdata/plotnet/show_plot.ipynb
2025-03-18 16:51:30 +08:00

97 lines
47 KiB
Plaintext

{
"cells": [
{
"cell_type": "code",
"execution_count": 13,
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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",
"text/plain": [
"<Figure size 800x600 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"import networkx as nx\n",
"import matplotlib.pyplot as plt\n",
"\n",
"# 设置中文字体\n",
"plt.rcParams['font.sans-serif'] = ['SimHei'] # 用来正常显示中文标签\n",
"plt.rcParams['axes.unicode_minus'] = False # 用来正常显示负号\n",
"\n",
"\n",
"# 创建一个简单的加权复杂网络\n",
"G = nx.Graph()\n",
"\n",
"# 添加节点\n",
"nodes = range(1, 8) # 节点编号从1到7\n",
"G.add_nodes_from(nodes)\n",
"\n",
"# 添加带权重的边\n",
"edges = [\n",
" (1, 2, 2.1), (1, 3, 0.8), (2, 4, 1.5), (3, 4, 1.2),\n",
" (5, 6, 0.9), (5, 7, 1.8), (6, 7, 0.6),\n",
" (4, 5, 1.1) # 添加了一些额外的随机连接\n",
"]\n",
"for u, v, w in edges:\n",
" G.add_edge(u, v, weight=w)\n",
"\n",
"# 获取边的权重用于绘图\n",
"weights = [G[u][v]['weight'] for u, v in G.edges()]\n",
"\n",
"# 计算每个节点的度\n",
"node_degrees = dict(G.degree())\n",
"# 将节点度映射到节点大小\n",
"node_sizes = [node_degrees[node] * 800 for node in G.nodes()] # 度数越大,节点越大\n",
"\n",
"# 绘制网络\n",
"pos = nx.spring_layout(G, seed=42) # 使用 spring 布局\n",
"plt.figure(figsize=(8, 6))\n",
"\n",
"# 绘制节点和边\n",
"nx.draw_networkx_nodes(G, pos, node_size=node_sizes, node_color='skyblue', edgecolors='black')\n",
"nx.draw_networkx_edges(G, pos, width=[2 * w for w in weights], alpha=0.7)\n",
"nx.draw_networkx_labels(G, pos, font_size=15, font_color='black')\n",
"\n",
"# 添加边权重的标签\n",
"edge_labels = {(u, v): f\"{w:.1f}\" for u, v, w in edges}\n",
"nx.draw_networkx_edge_labels(G, pos, edge_labels=edge_labels, font_size=14)\n",
"\n",
"# 设置图形标题\n",
"# plt.title(\"复杂网络的构成示意图\", fontsize=14)\n",
"plt.axis('off')\n",
"\n",
"# 保存图片\n",
"plt.savefig(\"complex_network.png\", dpi=600, bbox_inches='tight')\n",
"plt.show()"
]
}
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