报错

1、py2neo.database.work.ClientError: [Statement.SyntaxError] Invalid input 'g': expected 'd/D' (line 1, column 36 (offset: 35)) "MATCH (_:object) WHERE _.name='L'Engle' RETURN _"
不知道什么原因

构建代码

2、整体代码

import json
import pandas as pd
from py2neo import Graph,Node,Relationship,NodeMatcher
graph = Graph("http://localhost:7474", username="neo4j", password="neoj4")

graph.delete_all()
matcher = NodeMatcher(graph)


'''
node1 = Node('animal',name = 'cat')
r1 = Relationship(node2,'has',node1)
graph.create(node1)
'''


def data():
    # 去重之后的  665
    triplea = []
    # 去重之前的 1591
    datas = json.load(open('test_triples.json'))
    for data in datas:
        for triples in data['triple_list']:
            if triples in triplea:
                pass
            else:
                triplea.append(triples)

    links_dict = {}
    subject_list = []
    relation_list = []
    object_list = []

    for s, r, o in triplea:
        subject_list.append(s)
        relation_list.append(r)
        object_list.append(o)

        # print(len(subject_list)) #665
    # print(len(relation_list))#665
    # print(len(object_list)) #665
    subject_list = [str(i) for i in subject_list]
    relation_list = [str(i) for i in relation_list]
    object_list = [str(i) for i in object_list]

    # 将提取的三元组信息存到字典中，构成dataframe
    links_dict['subject'] = subject_list
    links_dict['relation'] = relation_list
    links_dict['object'] = object_list
    df_data = pd.DataFrame(links_dict)
    # print(df_data)

    # 只有结点需要去重
    node_sub_key = list(set(subject_list))
    node_obj_key = list(set(object_list))

    return node_sub_key, node_obj_key, df_data

def create_node(nodes,nodeo):
    for name in nodes:
        s_node = Node('subject',name=name)
        graph.create(s_node)
    for name in nodeo:
        o_node = Node('object',name=name)
        graph.create(o_node)

def create_relation(df_data):
    for m in range(0,len(df_data)):
        try:
            rel = Relationship(matcher.match('subject').where("_.name="+"'"+df_data['subject'][m]+"'").first(),
                               df_data['relation'][m],
                               matcher.match('object').where("_.name="+"'"+df_data['object'][m]+"'").first())
            print('创建第%d个关系'%(m))
            graph.create(rel)
        except AttributeError as e:
            print(e,m)

if __name__ == '__main__':
    node_sub_key,node_obj_key,df_data = data()
    create_node(node_sub_key,node_obj_key)
    print('结点创建完毕')
    create_relation(df_data)