mario.parse_eora(
path: str,
multi_region: bool,
table: str | None = None,
indeces: str = None,
name_convention: str = 'full_name',
aggregate_trade: bool = True,
year: int = None,
name: str = None,
calc_all: bool = False,
model: str = 'Database',
country: str | None = None,
price: str | None = None,
**kwargs,
) → object#

Parse EORA data into a Database instance.

Note

  • for multi_region database, only eora26 is acceptable

  • multi_region database has some inconsistencies that are modified when parsed.

  • to see the modifications after parsing call ‘meta_history’

Parameters:

  • path (str) – path to one EORA file or dataset directory

  • multi_region (bool) – True for eora26 else False

  • table (str, Optional) – for multi-region datasets only IOT is supported. Single-region parsing can infer the table type automatically when omitted.

  • indeces (str) – optional path to the Eora26 label files. If omitted, the parser looks for labels_*.txt files in path itself.

  • name_convension (str) – will take the full names of countries if full_name otherwise, takes the abbreviations

  • aggregate_trade (boolean) – if True, will aggregated all the trades into total imports and exports in single region database

  • country (str, Optional) – when multi_region=False and path points to a directory, selects the country file to parse.

  • price (str, Optional) – optional price filter for single-region folder parsing.

  • year (int, Optional) – for recording on the metadata

  • name (str, Optional) – for recording on the metadata

  • calc_all (boolean) – if True, will calculate the main missing matrices

Return type:

mario.Database