ipython-cypher 0.2.4

Neo4j Cypher cell and line magic for IPython, Pandas, NetworkX and matplotlib

Author:

Javier de la Rosa, http://versae.es

Introduces a %cypher (and %%cypher) magic for Neo4j in IPython. Inspired by Catherine Devlin’s ipython-sql.

Connect to a graph database, using neo4jrestclient_ driver, then issue Cypher commands within IPython or IPython Notebook. See examples.

Install

As easy as usual:

pip install ipython-cypher

Usage

Inside IPython, load the extension:

%load_ext cypher

And then you are reay to go by using the %cypher line magic:

%cypher MATCH (a)-[]-(b) RETURN a, b

Some Cypher queries can be very long, in those cases the the cell magic, %%cypher comes in handy:

%%cypher
create
    // Nodes
    (Neo:Crew {name:'Neo'}),
    (Morpheus:Crew {name: 'Morpheus'}),
    (Trinity:Crew {name: 'Trinity'}),
    // Relationships
    (Neo)-[:KNOWS]->(Morpheus),
    (Neo)-[:LOVES]->(Trinity),

Note that by default ipython-cypher will connect to http://localhost:7474/db/data.

Queries results can be stored in a variable and then converted to a Pandas DataFrame:

results = %cypher MATCH (a)-[]-(b) RETURN a, b
results.get_dataframe()

Or to a NetworkX MultiDiGraph:

results.get_graph()

For more detailed descriptions, please visit the official documentation.

News

0.2.4

Release date: 10-Dec-2016

• Update imports.

0.2.3

Release date: 22-Sep-2015

• Bugfixes for Python 3.

0.2.2

Release date: 22-Apr-2015

• Fixed error with conn when executing Cypher outside of IPython.

0.2.0

Release date: 20-Feb-2015

• Added documentation.

• Added option to run Cypher queries outside IPython

• Added a better graph plot algorithm for matplotlib.

0.1.0

Release date: 17-Nov-2014

• First public release of ipython-cypher