mario.parse_eurostat
- mario.parse_eurostat(supply_path, use_path, region, year, consumption_categories=['Final consumption expediture', 'Gross Capital formation', 'Exports of goods and services'], factors_of_production=['Compensation of employees', 'Other taxes less other subsidies on production', 'Consumption of fixed capital', 'Operating surplus and mixed income, net', 'Taxes less subsidies on products'], imports=['Imports of goods and services'], model='Database', name=None, calc_all=False, **kwargs) object
Parsing Eurostat databases
Note
this function is not generally applicable to any Eurostat table: it works only for specific table formats. Please refer to the example on the website
first rule: it is not possible to parse file different from .xls format
second rule: in each .xsl file, be sure data are referring to only one region
third rule: use only “total” as stock/flow parameter, and only one unit of measure
forth rule: supply must be provided in activity by commodity, use must be provided in commodity by activitiy formats
fifth rule: only SUT table are supported
- Parameters
supply_path (str) – path to the .xls file containing the supply table
use_path (str) – path to the .xls file containing the use table
region (str) – name of the region: be consistent with the Eurostat names!
year (int) – year to which the table is referring. Multiple years can be contained in the .xls files but one only can be parsed
consumption_categories (list, Optional) – By default, a list of consumption categories that balance the tables according to the Eurostat criteria. The user can decide to modify them
factors_of_production (list, Optional) – By default, a list of factors of production that balance the tables according to the Eurostat criteria. The user can decide to modify them
imports (list, Optional) – By default, a list of imports that balance the tables according to the Eurostat criteria. The user can decide to modify them
name (str, Optional) – for recording on the metadata
calc_all (bool, Optional) – if True, will calculate the main missing matrices
- Return type
mario.Database