Python 考虑到从周三开始的几个星期，计算我的学生人数

我有这样一个数据帧：

Timestamp              Student Name
2020-04-01 15:05:17    Student1
2020-04-01 14:56:37    Student2
2020-04-02 14:25:16    Student1
2020-04-08 14:15:32    Student1
2020-04-09 13:41:01    Student2
2020-04-15 12:50:30    Student2
...

我必须计算学生每周的频率，但我的一周从周三开始。我尝试了这个，它与我想要的输出类似，但考虑到从周三开始的几周

我的学生可以在某个星期三和下个星期二之间标记他们的出席，这将被视为出席

期望输出的示例：

Week                  Student Name   
Week of 2020-04-01    Student1    2
                      Student2    1
Week of 2020-04-08    Student1    1
                      Student2    1
Week of 2020-04-15    Student2    1
...

---

使用熊猫

groupby

和

Goruper

from pandas.tseries.offsets import DateOffset
import pandas as pd

# groupby student name and your week ending on Tuesday and get the count
new_df = df.groupby(['Student Name', pd.Grouper(key='Timestamp', freq='W-Tue')])['Student Name'].count().reset_index(level=1)
# use DateOffset to change the dates from the week end to the week start
new_df['Timestamp'] = new_df['Timestamp'] - DateOffset(6)

              Timestamp  Student Name
Student Name                         
Student1     2020-04-01             2
Student1     2020-04-08             1
Student2     2020-04-01             1
Student2     2020-04-08             1
Student2     2020-04-15             1