问题描述
我有以下数据框(比利时):
Count_Flights my_network partner_country year_month Perct_Use X
202 Austria Belgium 202008 nan nan
127 Denmark Belgium 202008 nan nan
428 Austria France 202008 nan nan
700 Denmark France 202008 nan nan
nan Austria Belgium 202009 0.98 nan
nan Denmark Belgium 202009 0.98 nan
nan Austria France 202009 0.98 nan
nan Denmark France 202009 0.98 nan
我希望实现的是Count_Flights = Count_Flights [0] * Perct_Use [1],即;对于202009
Austria Belgium = 202 * 0.98
Denmark Belgium = 127*0.98
我尝试了以下代码:
Belgium["X"]=np.nan
for part in partner:
country_confirmed_df = Belgium[(Belgium['partner_country'] == country)]
states_in_country = country_confirmed_df['my_network'].unique()
for i in range(1,len(Belgium)):
print(network,part)
print(Belgium.loc[i-1,'Count_Flights']*Belgium.loc[i,'Perct_Use'])
但是最终会收到“ KeyError”
我也尝试过使用if和if进行换班。
解决方法
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