Use groupby
+ agg
by dict
, so then is necessary order columns by subset
or reindex_axis
. Last add reset_index
for convert index
to column
if necessary.
df = a.groupby('user').agg({'num1':'min', 'num2':'max'})[['num1','num2']].reset_index()
print (df)
user num1 num2
0 a 1 3
1 b 4 5
What is same as:
df = a.groupby('user').agg({'num1':'min', 'num2':'max'})
.reindex_axis(['num1','num2'], axis=1)
.reset_index()
print (df)
user num1 num2
0 a 1 3
1 b 4 5