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# 导入pipmaster模块用于检查并安装依赖包
import pipmaster as pm
# 检查并安装pyvis库（ ）
if not pm . is_installed ( " pyvis " ) :
pm . install ( " pyvis " )
# 检查并安装networkx库（ ）
if not pm . is_installed ( " networkx " ) :
pm . install ( " networkx " )
# 导入必要的库
import networkx as nx # 用于创建和操作复杂的网络结构
from pyvis . network import Network # 用于交互式网络可视化
import random # 用于生成随机颜色
# 从GraphML文件读取知识图谱数据
# 文件路径: ./dickens/graph_chunk_entity_relation.graphml
G = nx . read_graphml ( " ../Topic/DongHua/graph_chunk_entity_relation.graphml " )
# 创建pyvis网络可视化对象
# 参数说明:
# height="100vh" - 设置可视化高度为100%视口高度
# notebook=True - 设置为在notebook环境中使用
net = Network ( height = " 100vh " , notebook = True )
# 将networkx图转换为pyvis网络图
net . from_nx ( G )
# 为每个节点设置随机颜色和提示信息
for node in net . nodes :
# 生成随机十六进制颜色代码
node [ " color " ] = " # {:06x} " . format ( random . randint ( 0 , 0xFFFFFF ) )
# 如果节点有description属性，
if " description " in node :
node [ " title " ] = node [ " description " ]
# 为每条边设置提示信息
for edge in net . edges :
# 如果边有description属性，
if " description " in edge :
edge [ " title " ] = edge [ " description " ]
# 生成并显示HTML格式的可视化结果
# 输出文件: knowledge_graph.html
net . show ( " ./Html/knowledge_graph.html " )
