Neo4NBA is a neo4j graph db of the NBA basketball league over the past decade (2010-20).
The graph contains data about:
- Teams and divisions
- All players played
- Yearly rosters
- Coaches
- Player regular season stats
- Draft picks (and undrafteds)
- Pre draft teams (e.g college, high-school, euroleague)
- Personal awards (MVP, MIP etc.)
- Playoff series
- Players nicknames
- Regular season/ playoff games (including date and score)
Python 3.7.0 (https://www.python.org/downloads/)
Local neo4j server 3.5.14 (https://neo4j.com/download-center/#community)
neo4j 1.7.0
Use the package manager pip to install neo4j package:
pip install neo4jFollow the next three steps and your graph is ready:
In the 'source/config.py' file you will need to enter your neo4j server credentials and bolt address:
# Neo4j server
NEO4J_USERNAME = "neo4j"
NEO4J_PASSWORD = "neo4j"
NEO4J_BOLT_ADDRESS = "bolt://localhost:7687"The graph is based on static csv files that are located in the 'graph_files' folder. Enter your local server 'import' dir path and set the 'should_copy' flag True in order to copy these files into your server:
# Graph files
NEO4J_IMPORT_DIRECTORY = "C:\user\neo4j-community-4.0.0\import"
SHOULD_COPY_FILES_TO_SERVER = TrueThe neo4j query language (cypher) supports a user-defined procedures and functions library called 'apoc', which is used by some of the graph updaters.
In order for them to work copy the attached 'apoc.jar' file into your local neo4j server 'plugins' folder.
Drag the attached 'style.grass' file to your neo4j browser and release to get a visual, clear graph.
Users that are already familiar with neo4j, can load directly the attached 'neo4nba.dump' file into their neo4j server.
That's it! Your'e good to go. Run the 'main.py' file.
- NBA2K game ratings
- Hall of Famers
- All-Star weekends
https://www.basketball-reference.com/ https://www.kaggle.com/pmp5kh/nba-draft-19802017 https://hoopshype.com/2019/02/24/all-the-nicknames-in-nba-history/ https://data.world/datasets/nba