添加链接
link管理
链接快照平台
  • 输入网页链接,自动生成快照
  • 标签化管理网页链接

本教程展示了如何使用 图数据科学 (GDS) 客户端 Python 驱动程序 与 AuraDS 交互。在以下部分中,您可以通过单击相应的选项卡在客户端和驱动程序代码之间切换。

必须有一个正在运行的 AuraDS 实例以及访问凭据(在 创建 AuraDS 实例 部分中生成)及其连接 URI(在实例详细信息页面中找到,以 neo4j+s:// 开头)。

# Replace with the actual URI, username, and password
AURA_CONNECTION_URI = "neo4j+s://xxxxxxxx.databases.neo4j.io"
AURA_USERNAME = "neo4j"
AURA_PASSWORD = "..."
# Client instantiation
gds = GraphDataScience(
    AURA_CONNECTION_URI,
    auth=(AURA_USERNAME, AURA_PASSWORD),
    aura_ds=True
# Replace with the actual URI, username and password
AURA_CONNECTION_URI = "neo4j+s://xxxxxxxx.databases.neo4j.io"
AURA_USERNAME = "neo4j"
AURA_PASSWORD = "..."
# Driver instantiation
driver = GraphDatabase.driver(
    AURA_CONNECTION_URI,
    auth=(AURA_USERNAME, AURA_PASSWORD)
# Create a driver session
with driver.session() as session:
    # Use .data() to access the results array
    results = session.run(gds_version_query).data()
    print(results)
# Create a driver session with driver.session() as session: # Use .data() to access the results array results = session.run(list_all_gds_procedures_query).data() # Print the prettified result print(json.dumps(results[:5], indent=2))
from neo4j.time import DateTime # Helper function for serializing Neo4j DateTime in JSON dumps def default(o): if isinstance(o, (DateTime)): return o.isoformat() # Run the graph generation algorithm g, _ = gds.beta.graph.generate( "example-graph", 10, 3, relationshipDistribution="POWER_LAW" # Drop the graph keeping the result of the operation, which contains # some DateTime fields ("creationTime" and "modificationTime") result = gds.graph.drop(g) # Print the result as JSON, converting the DateTime fields with # the handler defined above print(result.to_json(indent=2, default_handler=default)) from neo4j.time import DateTime # Helper function for serializing Neo4j DateTime in JSON dumps def default(o): if isinstance(o, (DateTime)): return o.isoformat() # Example query to run a graph generation algorithm create_example_graph_query = """ CALL gds.beta.graph.generate( 'example-graph', 10, 3, {relationshipDistribution: 'POWER_LAW'} # Example query to delete a graph delete_example_graph_query = """ CALL gds.graph.drop('example-graph') # Create the driver session with driver.session() as session: # Run the graph generation algorithm session.run(create_example_graph_query).data() # Drop the generated graph keeping the result of the operation results = session.run(delete_example_graph_query).data() # Prettify the results using the handler defined above print(json.dumps(results, indent=2, sort_keys=True, default=default))