py2neo

来源： https://stackoverflow.com/questions/52660870/use-py2neo-to-return-nodes-from-cypher-query

来源： https://stackoverflow.com/questions/52660870/use-py2neo-to-return-nodes-from-cypher-query

来源： https://stackoverflow.com/questions/52660870/use-py2neo-to-return-nodes-from-cypher-query

来源： https://stackoverflow.com/questions/52660870/use-py2neo-to-return-nodes-from-cypher-query

问题 Following asking a previous question, I've tried to use batch transactions with Py2Neo to speed things up. I've adapted my code quite a bit, but seem unable to build and execute a batch of transactions. The matching works fine, it's only the transaction piece at the bottom which I'm having issues with - I thought I would include my entire code, just in case though. The current error I'm getting is as follows: AttributeError Traceback (most recent call last) <ipython-input-5-953d29f58a36> in

问题 I have a node and I want to add one property property_x whose value I want to be {"year1":value, "year2":value} . Making more than one node for each year is not needed as I need these values in my processing together. 回答1: Neo4j only supports certain kinds of properties (docs): ...there are restrictions as to what types of values can be used as property values. Allowed value types are as follows: Numbers: Both integer values, with capacity as Java’s Long type, and floating points, with

问题 I have a node and I want to add one property property_x whose value I want to be {"year1":value, "year2":value} . Making more than one node for each year is not needed as I need these values in my processing together. 回答1: Neo4j only supports certain kinds of properties (docs): ...there are restrictions as to what types of values can be used as property values. Allowed value types are as follows: Numbers: Both integer values, with capacity as Java’s Long type, and floating points, with

问题 If I do something like this: from py2neo import Graph graph = Graph() stuff = graph.cypher.execute(""" match (a:Article)-[p]-n return a, n, p.weight """) on a database with lots of articles and links, the query takes a long time and uses all my system's memory, presumably because it's copying the entire result set into memory in one go. Is there some kind of cursor-based version where I could iterate through the results one at a time without having to have them all in memory at once? EDIT I

问题 this is more of a best-practices question. I am implementing a search back-end for highly structured data that, in essence, consists of ontologies, terms, and a complex set of mappings between them. Neo4j seemed like a natural fit and after some prototyping I've decided to go with py2neo as a way to communicate with neo4j, mostly because of nice support for batch operations. This is more of a best practices question than anything. What I'm getting frustrated with is that I'm having trouble

问题 Getting results on a pandas dataframe from a cypher query on a Neo4j database with py2neo is really straightforward, as: >>> from pandas import DataFrame >>> DataFrame(graph.data("MATCH (a:Person) RETURN a.name, a.born LIMIT 4")) a.born a.name 0 1964 Keanu Reeves 1 1967 Carrie-Anne Moss 2 1961 Laurence Fishburne 3 1960 Hugo Weaving Now I am trying to create (or better MERGE) a set of nodes and relationships from a pandas dataframe into a Neo4j database with py2neo. Imagine I have a dataframe