Skip to content

Data Parsingยค

For non-technical users, you can simply refer to the parsed tables in the GitHub repository.

These tables are updated regularly and includes:

  • buildings.csv: building information, including building groups, construction costs, unlocking technologies, and more.

  • buy_packages.csv: pop political power and buying needs for each wealth level.

  • goods.csv: goods information, including base price, obsession chance, etc.

  • production_methods.csv: production method information, including input and output goods, production method groups, etc.

  • production_table.csv: all combinations of production methods for each type of building, including the input and output goods, construction costs, and more. This table is also used for production optimization.

  • technology.csv: technology information, including category, era, etc.

If you want to parse the data yourself, you can refer to the examples/ directory in the GitHub repository, which contains example scripts for parsing the data. The script name corresponds to the table name, e.g., buildings.py for parsing the buildings.csv table.