I have dataframe below
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
A B C
1 6 a
2 9 d
B means the sum of group and C is the first elements in previous df
How can I get this result ?
It seems you need groupby
with aggregation
- sum
and 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:
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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