假设我有以下数据，包括姓名，类和日期
Name class Date
A 7th grade 1/1/2016
A 7th grade 1/2/2016
A 7th grade 1/3/2016
A 7th grade 1/4/2016
A 7th grade 1/5/2016
A 7th grade 1/6/2016
A 7th grade 1/7/2016
B 8th grade 1/8/2016
B 8th grade 1/9/2016
B 8th grade 1/10/2016
C 9th grade 1/11/2016
C 9th grade 1/12/2016
C 9th grade 1/13/2016
C 9th grade 1/14/2016
C 9th grade 1/15/2016
C 9th grade 1/16/2016
C 9th grade 1/17/2016
C 9th grade 1/18/2016
C 9th grade 1/19/2016
C 9th grade 1/20/2016
C 9th grade 1/21/2016
C 9th grade 1/22/2016
我正在寻找一个输出，它会给我每个名字的值，它们各自的等级，最早的日期和最新的日期。我的输出是，
Name grade count earlydate latestdate
A 7thgrade 7 1/1/2016 1/7/2016
B 8th grade 3 1/8/2016 1/10/2016
C 9th grade 12 1/11/2016 1/22/2016
我可以通过
找到每个名字的计数data.groupby('name','grade').count()
or
data.groupby('name','grade').size()
但无法在日期栏中找到早期日期和最新日期。
有人可以帮助我吗？
答案 0 :(得分：1)
Max and Min date in pandas groupby
这样的事情可能是：
data.groupby('name','grade').agg({'date' : [np.min, np.max]}).count()