我有两个数据框：
df1.head()
ParticipantId EventTime DayofWeek
0 1 2019-10-29 19:47:20.797000 Tuesday
1 7 2019-08-26 16:18:31.410000 Monday
2 5 2019-10-10 20:50:54.757000 Thursday
3 1 2019-10-22 16:21:21.470000 Tuesday
4 9 2019-10-07 21:44:27.073000 Monday
.
.
df2.head()
ParticipantId WeekDay WakeTime
0 1 Monday 09:00:00
1 1 Tuesday 09:00:00
2 1 Wednesday 09:00:00
3 1 Thursday 09:00:00
4 1 Friday 09:00:00
.
.
7 2 Monday 09:30:00
.
.
基本上，我想做的是向df1添加一列，其中参与者从df2起醒来。这样我就得到了这样的东西：
df1.head()
ParticipantId ScheduleName DayofWeek WakeTime
0 1 2019-10-29 19:47:20.797000 Tuesday 09:00:00
1 7 2019-08-26 16:18:31.410000 Monday 10:00:00
2 5 2019-10-10 20:50:54.757000 Thursday 09:00:00
3 2 2019-10-22 16:21:21.470000 Tuesday 09:30:00
4 9 2019-10-07 21:44:27.073000 Monday 08:00:00
到目前为止，我有：
df1['WakeTime'] = [df2[(df2.ParticipantId == x[0]) & (df2.WeekDay == x[1])].values[0][2] for x in df1[['ParticipantId','DayofWeek']].values]
尽管这可行，但我想知道是否有更好的方法可以做到这一点，因为它几乎不可读。