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cy2py: seamless Neo4j integration in Python Notebooks

Install

To install, run: pip install cy2py

Or clone this repository and run: python setup.py install

How you can use it

You can use cy2py in two ways:

  • as a line magic, it returns a Python dataframe that you can than manipulate as you wish

  • as cell magic that will print a graph or dataframe if the result is tabular

Magic arguments

You can check the list of accepted arguments by running the following command:

%cypher?

%cypher [-a ALIAS] [-u URI] [-us USERNAME] [-pw PASSWORD] [-db DATABASE] [-q QUERY] [-p PARAMS] [-c CLOSE] [-co COLORS] [-ca CAPTIONS] [-la LAYOUT] [-l] optional arguments: -a ALIAS, --alias ALIAS The Neo4j connection configuration alias. You after you defined it the first time in combination with the other arguments you can use only it to connect to the Neo4j instance without repassing the arguments each time. If you don't specify it the first time you'll pass the config it'll became the default for each  connection  -u URI, --uri URI The Neo4j URI. You can use this kind of URI in order  to define a specific database to query:  neo4j://localhost:7687/my-db  -us USERNAME, --username USERNAME  The Neo4j User  -pw PASSWORD, --password PASSWORD  The Neo4j Password  -db DATABASE, --database DATABASE  The Neo4j Database, if not provided we use the default  -q QUERY, --query QUERY  Pass the Cypher query as argument. Valid only when you  use line magic.  -p PARAMS, --params PARAMS  A map of Cypher query parameters  -c CLOSE, --close CLOSE  Close a Driver connection by alias or URI  -co COLORS, --colors COLORS  A map label/color  -ca CAPTIONS, --captions CAPTIONS  A map label/caption  -la LAYOUT, --layout LAYOUT  A map for layout configuration  -l, --list List active configurations

Example

Under the examples directory you'll find a Google Colab notebook that shows how to use cy2py in order to dive into a Neo4j crime dataset showing also how is easy to seamlessly leverage other visualization libraries such as Ploty.

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An iPython extension that makes Neo4j more Pythonic

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