Neo4j for Python. Manipulate graph data in Python with Neo4j as data storage.
The goal of this library is to provide a Python interface for querying and manipulating data stored in a Neo4j database.
This is a very early attempt, not even alpha.
The first wanted feature is the ability to write Cypher queries in Python, using the power of Cypher without its syntax. This results in a verbose but composable query language.
From Python to Cypher:
from neopy.graph import (
Node as N, NodeLabel as L,
RelationshipTo as Rt,
RelationshipType as T,
Graph)
you = N('you', L('Person'), name='You').create()
graph = Graph().match(you).create(
you,
Rt('like', T('like')),
N('neo', L('Database'), name='Neo4j')
).return_(you, 'like', 'neo')
print(graph.query)
# MATCH (you:Person {name: "You"})
# CREATE (you)-[like:like]->(neo:Database {name: "Neo4j"})
# RETURN you, like, neo;Just like in Django, the graph queries are lazy, so are only evaluated when their results are accessed. There are no side-effects, as Graph methods return a modified copy of the graph. It means you can compose queries without modifying the previous ones:
graph = Graph()
# prepare some query
match = graph.match(...)
# use the match object in different ways, and keep it unmodified
result1 = match.where(...).return_(...)
result2 = match.where(...).return_(...)
# run the same query as result2, but with an additional where condition
result3 = result2.where(...)neopy requires Python 3.6 or above.
To install Python 3.6, I recommend using pyenv.
# install pyenv
git clone https://github.com/pyenv/pyenv ~/.pyenv
# setup pyenv (you should also put these three lines in .bashrc or similar)
export PATH="${HOME}/.pyenv/bin:${PATH}"
export PYENV_ROOT="${HOME}/.pyenv"
eval "$(pyenv init -)"
# install Python 3.6
pyenv install 3.6.12
# make it available globally
pyenv global system 3.6.12With pip:
python3.6 -m pip install neopyWith pipx:
python3.6 -m pip install --user pipx
pipx install --python python3.6 neopy
