[英]Pandas , Sum Values of two columns from 2 DFs
I have two data-frames as shown below (sample data) : 我有两个数据帧,如下所示(样本数据):
df1: DF1:
Key1 Val1 Val2 Val3
A 2 1 3
B 2 2 2
C 3 3 4
D 4 4 2
E 5 6 5
df2: DF2:
Key1 Seasionality
A 1.2
B -1
C 1
D 1.2
E 1.5
How can we add Seasonality
to df1 (val1, val2 , val3) where df1.key1 = df2.key1
. 我们如何
df1 (val1, val2 , val3) where df1.key1 = df2.key1
添加Seasonality
。
Desired Output: 所需输出:
Key1 Val1 Val2 Vale
A 3.2 2.2 4.2
B 1 1 1
C 4 4 5
D 5.2 5.2 3.2
E 6.5 7.5 6.5
Previously i had similar requirement where i need to add columns from two different df with same keys but they had similar column names, so i was able to use : 以前我有类似的要求,我需要使用相同的键添加来自两个不同df的列,但是它们具有相似的列名,因此我可以使用:
pd.concat([df1,df2]).groupby(level=0).sum()
But can not think of a solution to above problem. 但是想不出以上问题的解决方案。
One possible solution is to align the keys temporarily: 一种可能的解决方案是临时对齐键:
df1.set_index('Key1', inplace=True)
df2.set_index('Key1', inplace=True)
df1 = df1.add(df2['Seasionality'], axis=0)
df1.reset_index(inplace=True)
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