我有 2 个数据框Map3 = pd.DataFrame({"partner_country": ["France","France","France","France","France","France", "Spain","Spain","Spain","Spain","Spain","Spain" ],"my_network": ["Ireland","Austria",None,"Sweden","Italy",None , #France "Ireland","Austria","Denmark","Sweden",None,"United Kingdom" #Spain ]})#NetherlandsMap4 = pd.DataFrame({"partner_country": ["France","France","France","France","France","France", "Spain","Spain","Spain","Spain","Spain","Spain" ],"my_network": [None,None,None,None,"Italy",None , #France None,"Austria",None,"Sweden",None,"United Kingdom" #Spain ]})#Netherlands我想从 Map3 数据框中删除 Map3 和 Map4 中常见的所有观察结果。尝试了以下代码:Map4[~(Map4['partner_country'].isin(Map3['partner_country'])Map4['my_network'].isin(Map3['my_network']]
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宝慕林4294392
TA贡献2021条经验 获得超8个赞
由于您只有 2 列,因此一个简单的解决方案可能是:
common = (Map3.partner_country + Map3.my_network).isin(Map4.partner_country + Map4.my_network)Map3 = Map3.loc[~common]
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