run_query

This function demonstrates connecting to a Neo4j database via the Python neo4j driver
and using pandas to manipulate the returned data.

Querying, extracting, and processing large-scale network data from Neo4j databases using the 'Neo4j Bolt' <https://neo4j.com/docs/bolt/current/bolt/> protocol. This interface supports efficient data retrieval, batch processing for large datasets, and seamless conversion of query results into R data frames, making it ideal for bioinformatics, computational biology, and other graph-based applications.

Wanjun Gu

bolt4jr

Interface for the 'Neo4j Bolt' Protocol

run_query function

<dl><dt>uri</dt>
<dd>Neo4j URI, e.g., "bolt://localhost:7687"</dd>
<dt>user</dt>
<dd>Username for Neo4j</dd>
<dt>password</dt>
<dd>Password for Neo4j</dd>
<dt>query</dt>
<dd>A Cypher query to execute, e.g. "MATCH (n) RETURN n LIMIT 5"</dd></dl>

Arguments

Connect to Neo4j and Run a Simple Query — run_query

<dl>

<dt>uri</dt>
<dd>Neo4j URI, e.g., "bolt://localhost:7687"</dd>


<dt>user</dt>
<dd>Username for Neo4j</dd>


<dt>password</dt>
<dd>Password for Neo4j</dd>


<dt>query</dt>
<dd>A Cypher query to execute, e.g. "MATCH (n) RETURN n LIMIT 5"</dd>

</dl>

run_query: Connect to Neo4j and Run a Simple Query

Description

Usage

Value

Arguments