This project includes a set of Python scripts for generating graph data from a text file, saving it in various formats (CSV, GraphML), and writing the data to a Neo4j graph database.
The generate_graph_from_text_file function processes a text file to create node data, while generate_edges_data generates edge data based on spatial adjacencies. The data can be saved as CSV or GraphML using save_graph_to_graphml, and can be written to a Neo4j database using write_to_neo4j.
Before running the scripts, ensure you have the following dependencies installed:
- Neo4j
- Python 3
- NetworkX
- Pandas
- Numpy
Before running the script, make sure to configure the following:
Neo4j URI, user, and password in the write_to_neo4j function. The path to your text file in the generate_graph_from_text_file function call. The CSV file paths in the main section of the script.
You can install the necessary Python packages using pip:
pip install neo4j pandas numpy networkx