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| from __future__ import print_function
import sys
from py2neo import Graph, Node, Relationship
graph = Graph(
"http://localhost:7474",
username="xxx",
password="xxx"
)
#删除所有的点和边
#graph.delete_all()
#定义点
node_1 = Node(label = "Person",name = "node_1")
node_2 = Node(label = "Person",name = "node_2")
node_3 = Node(label = "Person",name = "node_3")
node_4 = Node(label = "Person",name = "node_4")
node_5 = Node(label = "Person",name = "node_5")
node_6 = Node(label = "Person",name = "node_6")
#创建点
graph.create(node_1)
graph.create(node_2)
graph.create(node_3)
graph.create(node_4)
graph.create(node_5)
graph.create(node_6)
#定义关系
node_1_F_node_2 = Relationship(node_1,'w12',node_2)
node_1_F_node_3 = Relationship(node_1,'w13',node_3)
node_1_F_node_4 = Relationship(node_1,'w14',node_4)
node_2_F_node_1 = Relationship(node_2,'w21',node_1)
node_2_F_node_3 = Relationship(node_2,'w23',node_3)
node_2_F_node_4 = Relationship(node_2,'w24',node_4)
node_3_F_node_1 = Relationship(node_3,'w31',node_1)
node_3_F_node_2 = Relationship(node_3,'w32',node_2)
node_3_F_node_4 = Relationship(node_3,'w34',node_4)
node_4_F_node_1 = Relationship(node_4,'w41',node_1)
node_4_F_node_2 = Relationship(node_4,'w42',node_2)
node_4_F_node_3 = Relationship(node_4,'w43',node_3)
node_5_F_node_4 = Relationship(node_5,'w54',node_4)
node_4_F_node_5 = Relationship(node_4,'w45',node_5)
node_5_F_node_6 = Relationship(node_5,'w56',node_6)
node_6_F_node_5 = Relationship(node_6,'w65',node_5)
#为关系设定权重
node_1_F_node_2['weight'] = 1
node_1_F_node_2['weight'] = 2
node_1_F_node_3['weight'] = 1
node_2_F_node_1['weight'] = 2
node_2_F_node_3['weight'] = 1
node_2_F_node_4['weight'] = 2
node_3_F_node_1['weight'] = 1
node_3_F_node_2['weight'] = 2
node_3_F_node_4['weight'] = 1
node_4_F_node_1['weight'] = 2
node_4_F_node_2['weight'] = 1
node_4_F_node_3['weight'] = 2
node_5_F_node_4['weight'] = 2
node_4_F_node_5['weight'] = 1
node_5_F_node_6['weight'] = 2
node_6_F_node_5['weight'] = 2
#创建关系
graph.create(node_1_F_node_2)
graph.create(node_1_F_node_2)
graph.create(node_1_F_node_3)
graph.create(node_2_F_node_1)
graph.create(node_2_F_node_3)
graph.create(node_2_F_node_4)
graph.create(node_3_F_node_1)
graph.create(node_3_F_node_2)
graph.create(node_3_F_node_4)
graph.create(node_4_F_node_1)
graph.create(node_4_F_node_2)
graph.create(node_4_F_node_3)
graph.create(node_4_F_node_5)
graph.create(node_5_F_node_4)
graph.create(node_5_F_node_6)
graph.create(node_6_F_node_5)
#更新
node_1_F_node_2['count'] += 1
node_1['name'] = "peter"
graph.push(node_1_F_node_2)
graph.push(node_1)
#查询语句
## find_one返回一个
find_1 = graph.find_one(
label="Person",
property_key="name",
property_value="node_1"
)
#find返回的是游标
findA = graph.find(
lable="Person"
)
for it in findA:
print(it['name'])
#查找关系用mactch和macth_one,用法与上面相似，注意start_node和end_node至少有一个
# bidirectional指的是否可以是双向的，true表示不考虑方向，false表示必须是start指向end的边
#start_node后面可以是单个的node也可以是查询出来的一系列node.
relationship = graph.match_one(start_node=node_1, end_node=node_2, bidirectional=False)
|
