neo4j 节点显示名称_[Neo4j] neo4j 的python操作

import pandas as pd
from py2neo import Node, Relationship, Graph, NodeMatcher, RelationshipMatcher
 
 
# 创建节点
def CreateNode(m_graph, m_label, m_attrs):
    m_n = "_.name=" + "'" + m_attrs['name'] + "'"  # _.name='老师' _.name='超市'
    print(111,m_n)
    matcher = NodeMatcher(m_graph)
    re_value = matcher.match(m_label).where(m_n).first()
    print(222,re_value)  # (_0:Name {name: 'u8001u5e08'}) (_2:Name {name: 'u8d85u5e02'})
    if re_value is None:
        m_mode = Node(m_label, **m_attrs)
        n = graph.create(m_mode)
        return n
    return None
 
 
 
Names = ["老师", "超市", "程序员", "小卖部", "阳仔公司"]
action = ["传授", "销售", "敲", "售卖", "提供"]
things = ["知识", "日常用品", "代码", "日常用品", "餐饮服务"]
data = pd.DataFrame({"名称": Names, "字段": things, "方式": action})
print(data)
 
username = 'neo4j'
password = 'xxxxx'
graph = Graph('http://localhost:7474', username=username, password=password)
 
label1 = "Name"
label2 = "things"
for i, j in data.iterrows():
    # 名称
    attr1 = {"name": j.名称}
    CreateNode(graph, label1, attr1)
    # 产品
    attr2 = {"name": j.字段}
    CreateNode(graph, label2, attr2)
 

import pandas as pd
from py2neo import Node, Relationship, Graph, NodeMatcher, RelationshipMatcher
 
 
# 创建节点
def CreateNode(m_graph, m_label, m_attrs):
    m_n = "_.name=" + "'" + m_attrs['name'] + "'"  # _.name='老师' _.name='超市'
    print(111,m_n)
    matcher = NodeMatcher(m_graph)
    re_value = matcher.match(m_label).where(m_n).first()
    print(222,re_value)  # (_0:Name {name: 'u8001u5e08'}) (_2:Name {name: 'u8d85u5e02'})
    if re_value is None:
        m_mode = Node(m_label, **m_attrs)
        n = graph.create(m_mode)
        return n
    return None
 
 
# 查询节点
def MatchNode(m_graph, m_label, m_attrs):
    m_n = "_.name=" + "'" + m_attrs['name'] + "'"
    matcher = NodeMatcher(m_graph)
    re_value = matcher.match(m_label).where(m_n).first()
    return re_value
 
 
# 创建关系
def CreateRelationship(m_graph, m_label1, m_attrs1, m_label2, m_attrs2, m_r_name):
    reValue1 = MatchNode(m_graph, m_label1, m_attrs1)
    reValue2 = MatchNode(m_graph, m_label2, m_attrs2)
    if reValue1 is None or reValue2 is None:
        return False
    m_r = Relationship(reValue1, m_r_name, reValue2)
    n = graph.create(m_r)
    return n
 
 
Names = ["老师", "超市", "程序员", "小卖部", "阳仔公司"]
action = ["传授", "销售", "敲", "售卖", "提供"]
things = ["知识", "日常用品", "代码", "日常用品", "餐饮服务"]
data = pd.DataFrame({"名称": Names, "字段": things, "方式": action})
print(data)
 
username = 'neo4j'
password = 'xxxx'
graph = Graph('http://localhost:7474', username=username, password=password)
 
label1 = "Name"
label2 = "things"
for i, j in data.iterrows():
    # 名称
    attr1 = {"name": j.名称}
    CreateNode(graph, label1, attr1)
    # 产品
    attr2 = {"name": j.字段}
    CreateNode(graph, label2, attr2)
    #
    m_r_name = j.方式
    reValue = CreateRelationship(graph,label1,attr1,label2,attr2,m_r_name)
    print(reValue)

# coding:utf-8
from py2neo import Graph, Node, Relationship
 
# 连接neo4j数据库，输入地址、用户名、密码
graph = Graph('http://localhost:7474', username='neo4j', password='neo4j123')
graph.delete_all()
 
# 创建结点
test_node_1 = Node('ru_yi_zhuan', name='皇帝')  #  标签 ru_yi_zhuan，属性 皇帝
test_node_2 = Node('ru_yi_zhuan', name='皇后')  #  标签 ru_yi_zhuan，属性 皇后
test_node_3 = Node('ru_yi_zhuan', name='公主')  #  标签 ru_yi_zhuan，属性 公主
 
graph.create(test_node_1)
graph.create(test_node_2)
graph.create(test_node_3)
 
# 创建关系
# 分别建立了test_node_1指向test_node_2和test_node_2指向test_node_1两条关系，
# 关系的类型为"丈夫、妻子"，两条关系都有属性count，且值为1。
node_1_zhangfu_node_1 = Relationship(test_node_1, '丈夫', test_node_2)
node_1_zhangfu_node_1['count'] = 1
node_2_qizi_node_1 = Relationship(test_node_2, '妻子', test_node_1)
node_2_munv_node_1 = Relationship(test_node_2, '母女', test_node_3)
node_2_qizi_node_1['count'] = 1
 
graph.create(node_1_zhangfu_node_1)
graph.create(node_2_qizi_node_1)
graph.create(node_2_munv_node_1)
 
print(graph)
print(test_node_1)
print(test_node_2)
print(node_1_zhangfu_node_1)
print(node_2_qizi_node_1)
print(node_2_munv_node_1)