going_bananas.py

import bw2data as bd
import bw2calc as bc

ei = bd.Database("ecoinvent-3.9.1-cutoff")

banana_co = bd.get_node(database=ei.name, name='banana production', location="CO")
banana_cr = bd.get_node(database=ei.name, name='banana production', location="CR")

impact_categories = [
    ('ReCiPe Endpoint (H,A)', 'ecosystem quality', 'climate change, ecosystems'),
    ('ReCiPe Endpoint (H,A)', 'human health', 'climate change, human health')
]
method_config = {"impact_categories": impact_categories}

# Check configuration
bc.method_config.MethodConfig(**method_config)

demands = {
    '🇨🇴': {banana_co.id: 1},
    '🇨🇷': {banana_cr.id: 1}
}

data_objs = bd.get_multilca_data_objs(functional_units=demands, method_config=method_config)
mlca = bc.MultiLCA(
    demands=demands,
    method_config=method_config,
    data_objs=data_objs
)
mlca.lci()
mlca.lcia()
mlca.scores
>>> {
    (('ReCiPe Endpoint (H,A)', 'ecosystem quality', 'climate change, ecosystems'), '🇨🇴'): 1.,
    (('ReCiPe Endpoint (H,A)', 'ecosystem quality', 'climate change, ecosystems'), '🇨🇷'): 2.,
    (('ReCiPe Endpoint (H,A)', 'human health', 'climate change, human health'), '🇨🇴'): 3.,
    (('ReCiPe Endpoint (H,A)', 'human health', 'climate change, human health'), '🇨🇷'): 4.
}