csv文件数据直接导入neo4j构建知识图谱

csv⽂件数据直接导⼊neo4j构建知识图谱

from py2neo import Node, Relationship, PropertyDict, Graph

卢卡纤维g = Graph("", username="neo4j", password="neo4j123")

with open(r'', 'r', encoding='gbk') as r:

reader = ader(r)

for item in reader:

if reader.line_num == 1:

continue

node = Node("jd", name=item[0], lat_lng=item[1], desc=item[2])

线内钩子g.merge(node, "jd", "name")

from py2neo import Node, Relationship, Graph

import csv

g = Graph("xxx", username="neo4j", password="neo4j123")

with open(r'xxx', 'r', encoding='utf-8') as r:

reader = ader(r)

for item in reader:

# print(item)

start_node = Node("Person", name=item[0])

end_node = Node("Person", name=item[1])

Relation = Relationship(start_node, item[2], end_node)

防辐射面料

<(start_node, "Person", "name")

无级调速器

读日志<(end_node, "Person", "name")

<(Relation, "Person", "name")

本文发布于:2024-09-21 16:43:38，感谢您对本站的认可！

标签：知识结晶器构建热顶图谱

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