我有这个由5列组成的DataFrame:
print(df)
Date Agent PDF Pages Service
0 2019-11-07 Mery 1 520 A
1 2019-11-07 Edward 1 569 A
2 2019-11-07 Mery 2 718 A
3 2019-11-08 Edward 2 980 A
4 2019-11-09 Mery 2 717 B
5 2019-11-09 Edward 3 118 B
6 2019-12-10 Mery 1 356 B
7 2019-11-10 Edward 5 248 C
8 2019-11-11 Mery 3 828 C
9 2019-11-11 Edward 4 497 C
我创建了一个基于groupby()的变量,下面是Service and Agent列:
X = df.groupby(['Service','Agent']).sum()
print(X)
PDF Pages
Service Agent
A Mery 3 1238
Edward 3 1549
B Mery 3 1073
Edward 3 118
C Mery 3 828
Edward 9 745
我想添加一列,在其中可以找到['Agent']列的出现次数,如下所示:
PDF Pages Occu
Service Agent
A Mery 3 1238 2
Edward 3 1549 2
B Mery 3 1073 2
Edward 3 118 1
C Mery 3 828 1
Edward 9 745 2
感谢您的帮助!
df.groupby(['Service','Agent']).agg({'Pages':sum, 'PDF':sum, 'Agent':len})