gistfile1.txt

# reading CSV
import pandas as pd 
csv = pd.read_csv('cluster.csv')

# connect with driver
from neo4j import GraphDatabase
driver = GraphDatabase.driver(
    "neo4j+s://id.databases.neo4j.io",
    ("neo4j", "password")
)

# df -> list[dict]
rows = [ dict(row) for _, row in csv.iterrows() ]

# open a session
with driver.session() as session:
    # Use rows to create values
    session.run("""
    UNWIND $rows AS row
                
    MERGE (c:Community {id: row.community_id})
    ON CREATE SET c.score = row.max_score
    
    MERGE (s:System {id: row.system_id})                
    MERGE (s)-[:in_community]->(c)

    """, rows=rows)