Neo4j through Jupyter Notebook

[founder]

Can someone forward the latest packages and tutorials to work with Neo4j Aura from Jupyter Notebook? Thank you.

[ishwarya_ms]

Hi There,

You can use the package called 'neo4jupyter' for viewing neo4j data points via Jupyter Notebook.

Here is the link to code base: GitHub - merqurio/neo4jupyter: A quick visualization tool for Jupyter and Neo4J

Using this code base is super simple and can be grasped within few minutes from its associated documentation.

Best
Ishwarya

[founder]

Thank you, I got error below. How do I do it?

Determine if a variable X is endogeneous for variable Y, if so, return confounders

query = "MATCH p= (x:construct)<-[r1:causes]-(confounder:construct) -[r2:causes]-> (y:construct) <-[r3:causes]- (x:construct)
WHERE x.name ='economic reward' AND y.name ='job performance'
RETURN x.measure, y.measure, confounder.measure LIMIT 50"
graph = graph.run(query)
graph

neo4jupyter.draw(graph, {"construct": "name", "causes": "Reference"})

---

AttributeError Traceback (most recent call last)
~\AppData\Local\Temp/ipykernel_9436/180580432.py in
----> 1 neo4jupyter.draw(graph, {"construct": "name", "causes": "Reference"})

D:\Anaconda\lib\site-packages\neo4jupyter\neo4jupyter.py in draw(graph, options, physics, limit)
81 """
82
---> 83 data = graph.run(query, limit=limit)
84
85 nodes =

AttributeError: 'Cursor' object has no attribute 'run'