[英]Merge sum rows with multiindex with Pandas
Is it possible to merge and sum rows that appear in both dataframes with multiindex, while adding the ones that are unique to each dataframe.是否可以使用多索引合并和求和出现在两个数据帧中的行,同时添加每个数据帧独有的行。
df1
Amount1 Amount2 Amount3
A R10 1 1 20
R3 0 0 20
X2 1 0 20
B XS1 1 5 10
LM2 1 1 10
C RR1 2 1 30
df2
Amount1 Amount2 Amount3
A R10 1 1 20
X2 1 0 20
B XS1 1 5 10
XF2 1 1 10
C RR1 2 1 30
Final result:最后结果:
Amount1 Amount2 Amount3
A R10 2 2 40
R3 0 0 20
X2 2 0 40
B XS1 2 10 20
LM2 1 1 10
XF2 1 1 10
C RR1 4 2 60
Try:尝试:
df1.add(df2, fill_value=0)
Output:输出:
Amount1 Amount2 Amount3
A R10 2.0 2.0 40.0
R3 0.0 0.0 20.0
X2 2.0 0.0 40.0
B LM2 1.0 1.0 10.0
XF2 1.0 1.0 10.0
XS1 2.0 10.0 20.0
C RR1 4.0 2.0 60.0
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