FIGARO parser walkthrough#
This notebook is the practical guide for parsing FIGARO from the Eurostat API in MARIO.
What this notebook covers#
which Eurostat dataflows MARIO uses;
how
SUTandIOTparsing differ;how
year=,countries=, andiot_mode=control the request;why no local FIGARO path is needed anymore.
Source links#
Eurostat Statistics API: https://ec.europa.eu/eurostat/web/user-guides/data-browser/api-data-access/api-introduction
FIGARO data browser folder: https://ec.europa.eu/eurostat/databrowser/explore/all/naio?lang=en&subtheme=naio.naio_10.naio_10_fcp&display=list&sort=category
MARIO downloads FIGARO through the Eurostat API. The old local flat-file path workflow is deprecated.
Dataflow groups#
The parser selects the dataflow suffix from year:
2010-2013:s1,u1,ip1,ii12014-2017:s2,u2,ip2,ii22018-2021:s3,u3,ip3,ii32022onwards:s4,u4,ip4,ii4
For example, a 2022 SUT uses naio_10_fcp_s4 and naio_10_fcp_u4.
Key arguments#
table: choose"SUT"or"IOT".year: required.countries: optional list of FIGARO country codes. Use it while developing to avoid downloading the full table.iot_mode: only fortable="IOT"; use"auto","product", or"industry".unit: currently"MIO_EUR".
API notes and caveats#
FIGARO is fully API-based. The old path argument is deprecated and ignored.
MARIO chunks requests by c_orig to avoid Eurostat extraction-size limits and then rebuilds the MARIO matrices locally. For SUT, DOM rows in the use table are interpreted as value-added rows. For IOT, DOM rows are interpreted in the same way for the V matrix.
Full FIGARO payloads are large, so countries= is the practical way to keep exploratory runs small.
[1]:
import mario
Parse a FIGARO SUT#
The example below limits the request full FIGARO table
[2]:
db_sut = mario.parse_figaro(
table="SUT",
year=2022,
# path="/path/to/figaro/sut_directory",
path='/Users/lorenzorinaldi/Library/CloudStorage/OneDrive-SharedLibraries-PolitecnicodiMilano/DENG-SESAM - Documenti/c-Research/a-Datasets/_Input Output Databases/FIGARO/SUT'
)
db_sut
INFO Parser: reading cached FIGARO API payload from /Users/lorenzorinaldi/Library/CloudStorage/OneDrive-SharedLibraries-PolitecnicodiMilano/DENG-SESAM - Documenti/c-Research/a-Datasets/_Input Output Databases/FIGARO/SUT/naio_10_fcp_s4_2022_MIO_EUR_8ae0a3260d8f.csv.
INFO Parser: reading cached FIGARO API payload from /Users/lorenzorinaldi/Library/CloudStorage/OneDrive-SharedLibraries-PolitecnicodiMilano/DENG-SESAM - Documenti/c-Research/a-Datasets/_Input Output Databases/FIGARO/SUT/naio_10_fcp_u4_2022_MIO_EUR_8be2fc37e8a5.csv.
INFO Parser: FIGARO SUT parsed from Eurostat API with 50 regions, 64 activities, 64 commodities, 6 factor rows.
INFO Metadata: initialized.
[2]:
name = FIGARO SUT 2022
table = SUT
tech_assumption = industry-based
scenarios = ['baseline']
Activity = 64
Commodity = 64
Factor of production = 6
Satellite account = 1
Consumption category = 5
Region = 50
[3]:
db_sut
[3]:
name = FIGARO SUT 2022
table = SUT
tech_assumption = industry-based
scenarios = ['baseline']
Activity = 64
Commodity = 64
Factor of production = 6
Satellite account = 1
Consumption category = 5
Region = 50
Parse a FIGARO IOT#
For IOT parsing, iot_mode="auto" defaults to the product-by-product dataflow.
[ ]:
from importlib.resources import path
db_iot = mario.parse_figaro(
table="IOT",
year=2022,
iot_mode="product",
path="/path/to/figaro/iot_directory",
)
db_iot
First inspection#
Once parsed, the result is a standard MARIO database.
[4]:
db_sut.get_index("Region")[:5]
[4]:
['Belgium', 'Bulgaria', 'Czechia', 'Denmark', 'Germany']
[5]:
db_sut.get_index("Activity")[:5]
[5]:
['Crop and animal production, hunting and related service activities',
'Forestry and logging',
'Fishing and aquaculture',
'Mining and quarrying',
'Manufacture of food products; beverages and tobacco products']
[6]:
db_sut.get_index("Commodity")[:5]
[6]:
['Products of agriculture, hunting and related services',
'Products of forestry, logging and related services',
'Fish and other fishing products; aquaculture products; support services to fishing',
'Mining and quarrying',
'Food, beverages and tobacco products']
Practical warnings#
Full FIGARO tables are large to be downloaded; use
countries=while developing workflows.MARIO chunks Eurostat API requests by
c_originternally to avoid extraction-size limits.The old local
pathargument is deprecated and ignored.