Py2neo成功连接Neo4j初探：Movie Graph

Posted 2021-09-15 ZSYL

Py2neo连接Neo4j初探：Movie Graph

• 1. 导包
• 2. 连接Neo4j
• 3. 执行语句
• 4. 绘图

1. 导包

import py2neo
import matplotlib.pyplot as plt

2. 连接Neo4j

graph = py2neo.Graph('http://localhost:7474/browser/', auth=('neo4j', 'zs'))

3. 执行语句

query = '''
        match (m: Movie) return m
'''
graph.run(query).to_data_frame().head()

	m
0	{'tagline': 'Welcome to the Real World', 'titl...
1	{'tagline': 'Free your mind', 'title': 'The Ma...
2	{'tagline': 'Everything that has a beginning h...
3	{'tagline': 'Evil has its winning ways', 'titl...
4	{'tagline': 'In the heart of the nation's capi...

# graph.run("CALL db.schema.visualization()").data()

graph.run("match (p:Person)-[r:ACTED_IN]->(m:Movie) where p.name='Tom Hanks' return m.title as title, m.released as year order by m.released").to_data_frame()

	title	year
0	Joe Versus the Volcano	1990
1	A League of Their Own	1992
2	Sleepless in Seattle	1993
3	Apollo 13	1995
4	That Thing You Do	1996
5	You've Got Mail	1998
6	The Green Mile	1999
7	Cast Away	2000
8	The Polar Express	2004
9	The Da Vinci Code	2006
10	Charlie Wilson's War	2007
11	Cloud Atlas	2012

4. 绘图

movies = graph.run("match (m:Movie) return m.released as year, m.title as title").to_data_frame()

movies.head()

	year	title
0	1999	The Matrix
1	2003	The Matrix Reloaded
2	2003	The Matrix Revolutions
3	1997	The Devil's Advocate
4	1992	A Few Good Men

movies.groupby('year').count().plot(kind='bar')  # movies.groupby('year').agg(count).plot(kind='bar')
plt.show()

加油!

感谢!

努力!