Posted in Python onDecember 23, 2019
需求:查询出满足3人及3案有关系的集合
# -*- coding: utf-8 -*- from py2neo import Graph import psycopg2 # 二维数组查找 def find(target, array): for i, val in enumerate(array): for j, temp in enumerate(val): if temp == target: return True; return False graph = Graph(host="192.168.3.186://7474", auth=("neo4j", "wabjtam123")) data = graph.run('match data=(p:anjian)-[:参与 *2..5]-(u:anjian) with p,collect( distinct u.AJBH) as ajbhs match (p:anjian)-[:参与 *1..5]-(c:xyr) with p,ajbhs, collect(distinct c.XYRBH) as xyrbh_list,(ajbhs+p.AJBH) as ajbh_list where size(xyrbh_list)>2 and size(ajbh_list)>2 return p.AJBH as ajbh,ajbh_list,xyrbh_list') aj = [] xyr_result = [] aj_result = [] for node in data: ajbh = node.get('ajbh') ajbh_list = node.get('ajbh_list') xyrbh_list = node.get('xyrbh_list') ajbh_list.append(ajbh) ajbh_list = list(set(node.get('ajbh_list'))) xyrbh_list = list(set(node.get('xyrbh_list'))) flag = True if len(aj_result) > 0: for i, val in enumerate(ajbh_list): f = find(val, aj_result) if f: flag = False break; if flag: if len(ajbh_list) > 2 and len(xyrbh_list) > 2: aj.append(ajbh) aj_result.append(ajbh_list) xyr_result.append(xyrbh_list) print('MATCH p=(:anjian{AJBH:"'+ajbh+'"})-[*]-() RETURN p LIMIT 25') name = str(len(xyrbh_list)) + "人" + str(len(ajbh_list)) + "案" print(name) print(len(aj_result)) print(aj) print('----------------------------') print(aj_result) conn = psycopg2.connect(database="zfgfh", user="postgres", password="postgres", host="192.168.3.202", port="5432") cursor = conn.cursor() for ajbh in aj_result: for temp in ajbh: insert_sql = "insert into test.gm (\"ajbh\") values ('%s')" insert_sql = insert_sql % temp print(insert_sql) # 插入 cursor.execute(insert_sql) # 提交 conn.commit() cursor.close() # 关闭Cursor conn.close() # 关闭数据库
6人3案 4人5案 3人6案 11人3案 3人13案 6人46案 8人4案 5人4案 7人4案 28人17案 4人4案 3人8案 4人4案 8人3案 6人6案 5人4案 4人6案 19人77案 4人22案 4人14案 4人5案 9人5案 12人8案 4人3案 17人4案 5人7案 18人30案 7人11案 3人22案 20人12案 30 ['A2301260500002019020002', 'A2301096000002018040010', 'A2301246400002018060001', 'A2301270500002018040003', 'A2301085100002018100001', 'A2301062020012018100099', 'A2301830517002018090003', 'A2301290501002019040001', 'A2301240500002018080001', 'A2301260200002018090006', 'A2301821414022018011647', 'A2301000514012018090001', 'A2301245100002018050014', 'A2301004908002018110004', 'A2301295500002018110005', 'A2301270300002018090005', 'A2301848900002018070017', 'A2301210504002018080011', 'A2301004902002018110002', 'A2301810500002018110038', 'A2301025103002018120002', 'A2301290500002019020003', 'A2301096000002018060043', 'A2301260200002018060002', 'A2301810500002018090002', 'A2301815100002018060014', 'A2301820506002018070006', 'A2301037200002018100154', 'A2301849000002018090001', 'A2301280200002018110002'] ---------------------------- ['A2301260500002019030006', 'A2301260500002019030007', 'A2301260500002019020002'] ['A2301095200002018060039', 'A2301096000002018050002', 'A2301096000002018060009', 'A2301095200002018070016', 'A2301096000002018040010'] ['A2301246400002018050003', 'A2301245200002018060007', 'A2301236400002018060005', 'A2301245200002018060003', 'A2301246400002018060002', 'A2301246400002018060001'] ['A2301270500002018040003', 'A2301270500002018040004', 'A2301270500002018040005'] ['A2301080506002018120002', 'A2301080506002018120001', 'A2301080506002018120011', 'A2301080506002018120004', 'A2301080506002018120010', 'A2301080506002018120013', 'A2301080506002018120005', 'A2301085100002018100001', 'A2301080506002018120012', 'A2301080506002018120007', 'A2301080506002018120006', 'A2301080506002018120003', 'A2301080506002018120009'] ['A2301060504002018110006', 'A2301060504002018110005', 'A2301060504002018110028', 'A2301060504002018110026', 'A2301060504002018110036', 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'A2301060504002018120004', 'A2301060504002018110018', 'A2301060504002018110020', 'A2301060504002018110034'] ['A2301830517002018090003', 'A2301830517002018090005', 'A2301830517002018090006', 'A2301830517002018090004'] ['A2301290501002019040001', 'A2301290501002019040002', 'A2301290501002019030002', 'A2301290501002019040004'] ['A2301240500002018080001', 'A2301240500002018080004', 'A2301240500002018080003', 'A2301240500002018080002'] ['A2301260200002018100006', 'A2301260200002018090002', 'A2301260200002018100013', 'A2301260200002018100008', 'A2301260200002018090006', 'A2301260200002018100003', 'A2301260200002018100001', 'A2301260200002018100010', 'A2301260200002018100005', 'A2301260200002018100012', 'A2301260200002018100002', 'A2301260200002018090004', 'A2301260200002018100011', 'A2301260200002018090003', 'A2301260200002018100014', 'A2301260200002018090005', 'A2301260200002018100007'] ['A2323037100002018120006', 'A2301827600002018090005', 'A2301821414022018011647', 'A2301820209332018024067'] ['A2301000514012018090001', 'A2301230500002018060001', 'A2301000514012018110004', 'A2301230300002018110005', 'A2301230500002018050005', 'A2301000514012019010001', 'A2301000514012018090002', 'A2301000514012018100001'] ['A2301245100002018050014', 'A2301245100002018070018', 'A2301286100002018050005', 'A2301286100002018060002'] ['A2303016200002018100001', 'A2301004908002018110004', 'A2301004908002018110006'] ['A2301295500002018110008', 'A2301295500002018110006', 'A2301295500002018110003', 'A2301295500002018110007', 'A2301295500002018110005', 'A2301002104002018100007'] ['A2301270300002018100004', 'A2301270300002018100002', 'A2301270300002018100001', 'A2301270300002018090005'] ['A2301848900002018070017', 'A2301845700002018070027', 'A2301840502002018070002', 'A2301848800002018070024', 'A2301840502002018070003', 'A2301840502002018070001'] ['A2301210504002018120003', 'A2301210504002018120019', 'A2301210504002018120013', 'A2301210504002018080007', 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'A2301210504002018120046', 'A2301210504002018120052', 'A2301210504002018110007', 'A2301210504002018120024', 'A2301210504002018080022', 'A2301210504002018080005', 'A2301210504002018120050', 'A2301210504002018080002', 'A2301210504002018120009', 'A2301210504002018120031', 'A2301210504002018120033', 'A2301210504002018120042', 'A2301210504002018120035', 'A2301210504002018120040', 'A2301210504002018120026', 'A2301210504002018120005', 'A2301210504002018120030', 'A2301210504002018120027', 'A2301210504002018120018', 'A2301210504002018120010', 'A2301210504002018120016', 'A2301210504002018120002', 'A2301210504002018120001', 'A2301210504002018120034', 'A2301210504002018120007', 'A2301210504002018120037', 'A2301210504002018120004', 'A2301210504002018080008', 'A2301210504002018080011', 'A2301210504002018080018', 'A2301210504002018120021', 'A2301210504002018080020', 'A2301210504002018120047', 'A2301210504002018080006', 'A2301210504002018120020', 'A2301210504002018080016'] ['A2301004906002019010005', 'A2301004902002018120001', 'A2301004902002018100006', 'A2301004908002018110002', 'A2301004902002018110002', 'A2301004906002019010003', 'A2301004904002019010003', 'A2301004908002019010002', 'A2301004902002018110003', 'A2301004908002019010004', 'A2301004908002018110001', 'A2301004905002019010008', 'A2301004904002018100004', 'A2301004908002019010005', 'A2301004904002019010004', 'A2301004909002019010001', 'A2301004905002019010007', 'A2301004908002019010003', 'A2301004904002019010002', 'A2301004908002018100002', 'A2301004902002018110001', 'A2301004906002019010004'] ['A2301810500002018120044', 'A2301810500002018110039', 'A2301810500002018110041', 'A2301810500002018120034', 'A2301810500002018120055', 'A2301810500002018120052', 'A2301810500002018120053', 'A2301810500002018120032', 'A2301810500002018110038', 'A2301810500002018120054', 'A2301810500002018120035', 'A2301810500002018110040', 'A2301810500002018120033', 'A2301810500002018120056'] ['A2301025103002019010002', 'A2301025103002018120002', 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'A2323015700002018100005', 'A2301848700002018090013', 'A2323015500002018100004', 'A2301849000002018090001', 'A2301265300002018090007', 'A2301845700002018090004', 'A2301265500002018090005', 'A2301845700002018090019', 'A2323015700002018100004', 'A2301265300002018090006', 'A2323016100002018100003', 'A2301849000002018090008', 'A2301265300002018090011', 'A2301265300002018090005', 'A2301849000002018090019', 'A2301265500002018090006', 'A2301265300002018090010', 'A2301265300002018090009', 'A2301265300002018090008', 'A2301848700002018090006'] ['A2301280200002018110003', 'A2301280200002018110011', 'A2301280200002018110013', 'A2301280200002018110005', 'A2301280200002018110010', 'A2301280200002018110007', 'A2301280200002018110012', 'A2301280200002018110002', 'A2301280200002018110008', 'A2301280200002018110009', 'A2301280200002018110014', 'A2301280200002018110006']
以上这篇python 实现查询Neo4j多节点的多层关系就是小编分享给大家的全部内容了,希望能给大家一个参考,也希望大家多多支持三水点靠木。
python 实现查询Neo4j多节点的多层关系
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