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我想根据当前数据集“AU 中的铜生产”创建一个关于“CH”中铜生产的新数据集。我尝试应用以下函数，但最后一个函数返回“找不到此位置”。任何人都可以帮忙吗？提前致谢！

data = w.extract_brightway2_databases(["ecoinvent 3.4 cutoff"])
copper_production = w.contains("name", "copper production")
musuizi=w.get_one(data,w.equals('location','AU'),copper_production)
musuizi2=w.transformations.geo.copy_to_new_location(musuizi, 'CH')
w.transformations.geo.relink_technosphere_exchanges(musuizi2,data,exclusive=True, drop_invalid=False, biggest_first=False, contained=False)
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1 回答 1

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（注意：这个问题实际上是关于香肠库，而不是 Brightway）

由于 ecoinvent 数据库和地理定义之间的同步问题，看起来存在一些错误。目前，您可以执行以下操作：

import wurst as w
data = w.extract_brightway2_databases(["ecoinvent 3.4 cutoff"])

mapping = {
    "ASCC": "US-ASCC",
    "CSG": "CN-CSG",
    "FRCC": "US-FRCC",
    "HICC": "US-HICC",
    "IAI Area, Africa": 'IAI Area 1, Africa',
    "IAI Area, Asia, without China and GCC": 'IAI Area 4&5, without China',
    "IAI Area, Gulf Cooperation Council": 'IAI Area 8, Gulf',
    "IAI Area, North America, without Quebec": 'IAI Area 2, without Quebec',
    "IAI Area, Russia & RER w/o EU27 & EFTA": 'IAI Area, Europe outside EU & EFTA',
    "IAI Area, South America": 'IAI Area 3, South America',
    "MRO, US only": "US-MRO",
    "NPCC, US only": "US-NPCC",
    "RFC": "US-RFC",
    "SERC": "US-SERC",
    "SGCC": "CN-SGCC",
    "SPP": "US-SPP",
    "TRE": "US-TRE",
    "WECC, US only": "US-WECC",
}


def update_all_locations(data):
    for ds in data:
        ds['location'] = mapping.get(ds['location'], ds['location'])


update_all_locations(data)
copper_in_au = w.get_one(data, w.equals('location','AU'), w.contains("name", "copper production"))
copper_in_ch = w.transformations.geo.copy_to_new_location(copper_in_au, 'CH')
data.append(copper_in_ch)
w.transformations.geo.relink_technosphere_exchanges(
    copper_in_ch,
    data,
    contained=False
)
于 2017-12-08T09:37:24.627 回答