[英]How to groupby and transform in pandas
I have dataframe below我有下面的数据框
A B C
1 1 a
1 2 b
1 3 c
2 4 d
2 5 e
I would ilke to transform like below我想像下面这样变换
A B C
1 6 a
2 9 d
B means the sum of group and C is the first elements in previous df B 表示组和 C 是前一个 df 中的第一个元素
How can I get this result ?我怎样才能得到这个结果?
It seems you need groupby
with aggregation
- sum
and first
:看来您需要
groupby
与aggregation
- sum
和first
:
df = df.groupby('A').agg({'B':'sum','C':'first'}).reset_index().reindex(columns=df.columns)
print (df)
A B C
0 1 6 a
1 2 9 d
Thank you John Galt for another solution:感谢John Galt的另一个解决方案:
df = df.groupby('A', as_index=False).agg({'B':'sum','C':'first'}).reindex(columns=df.columns)
print (df)
A B C
0 1 6 a
1 2 9 d
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