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import csv | |
import bw2data as bd | |
bio_db_name = 'ecoinvent-3.10-biosphere' | |
new_method = ("Something", "Something", "Danger zone") | |
# Writing | |
with open(f'{bio_db_name}.csv', 'w', encoding='utf-8') as csvfile: | |
fieldnames = ['id', 'name', 'categories', 'unit', 'cf'] | |
writer = csv.DictWriter(csvfile, fieldnames=fieldnames) | |
writer.writeheader() | |
flows = sorted(bd.Database(bio_db_name), key=lambda x: (x['name'], x['categories'], x['unit'])) | |
for flow in flows: | |
writer.writerow({ | |
'id': flow.id, | |
'name': flow['name'], | |
'categories': "::".join(flow['categories']), | |
'unit': flow['unit'], | |
'cf': 0 | |
}) | |
# Add your CFs to the CSV. You can also start with your own CSV if that's easier. | |
# Reading | |
with open(f'{bio_db_name}.csv', encoding='utf-8') as csvfile: | |
data = [(int(obj['id']), obj['cf']) for obj in csv.DictReader(csvfile)] | |
my_method = bd.Method(new_method) | |
my_method.register(unit="foobar") | |
my_method.write(data) | |
# Check writing was successful | |
for flow, cf in bd.Method(new_method).load(): | |
print(bd.get_node(id=flow), cf) |
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