我正在为员工构建一个基本的rota/时间表,并从MySQL游标中获得一个数据帧,它给出了id、日期和类的列表
id the_date class
0 195593 2017-09-12 14:00:00 3
1 193972 2017-09-13 09:15:00 2
2 195594 2017-09-13 14:00:00 3
3 195595 2017-09-15 14:00:00 3
4 193947 2017-09-16 17:30:00 3
5 195627 2017-09-17 08:00:00 2
6 193948 2017-09-19 11:30:00 2
7 195628 2017-09-21 08:00:00 2
8 193949 2017-09-21 11:30:00 2
9 195629 2017-09-24 08:00:00 2
10 193950 2017-09-24 10:00:00 2
11 193951 2017-09-27 11:30:00 2
12 195644 2017-09-28 06:00:00 1
13 194400 2017-09-28 08:00:00 1
14 195630 2017-09-28 08:00:00 2
15 193952 2017-09-29 11:30:00 2
16 195631 2017-10-01 08:00:00 2
17 194401 2017-10-06 08:00:00 1
18 195645 2017-10-06 10:00:00 1
19 195632 2017-10-07 13:30:00 3
如果类==1,我需要将该实例复制5次。你知道吗
first_class = df[df['class'] == 1]
non_first_class = df[df['class'] != 1]
first_class_replicated = pd.concat([tests_df]*5,ignore_index=True).sort_values(['the_date'])
id the_date class
0 195644 2017-09-28 06:00:00 1
16 195644 2017-09-28 06:00:00 1
4 195644 2017-09-28 06:00:00 1
12 195644 2017-09-28 06:00:00 1
8 195644 2017-09-28 06:00:00 1
17 194400 2017-09-28 08:00:00 1
13 194400 2017-09-28 08:00:00 1
9 194400 2017-09-28 08:00:00 1
5 194400 2017-09-28 08:00:00 1
1 194400 2017-09-28 08:00:00 1
6 194401 2017-10-06 08:00:00 1
18 194401 2017-10-06 08:00:00 1
10 194401 2017-10-06 08:00:00 1
14 194401 2017-10-06 08:00:00 1
2 194401 2017-10-06 08:00:00 1
11 195645 2017-10-06 10:00:00 1
3 195645 2017-10-06 10:00:00 1
15 195645 2017-10-06 10:00:00 1
7 195645 2017-10-06 10:00:00 1
19 195645 2017-10-06 10:00:00 1
然后合并non_first_class
和first_class_replicated
。不过,在此之前,我需要first_class_replicated
中的日期按id分组递增一天。有没有一个优雅的解决方案,或者我应该考虑通过groupby
系列来修改日期?你知道吗
期望值:
id
0 195644 2017-09-28 6:00:00
16 195644 2017-09-29 6:00:00
4 195644 2017-09-30 6:00:00
12 195644 2017-10-01 6:00:00
8 195644 2017-10-02 6:00:00
17 194400 2017-09-28 8:00:00
13 194400 2017-09-29 8:00:00
9 194400 2017-09-30 8:00:00
5 194400 2017-10-01 8:00:00
1 194400 2017-10-02 8:00:00
6 194401 2017-10-06 8:00:00
18 194401 2017-10-07 8:00:00
10 194401 2017-10-08 8:00:00
14 194401 2017-10-09 8:00:00
2 194401 2017-10-10 8:00:00
11 195645 2017-10-06 10:00:00
3 195645 2017-10-07 10:00:00
15 195645 2017-10-08 10:00:00
7 195645 2017-10-09 10:00:00
19 195645 2017-10-10 10:00:00
您可以使用^{} 作为计数类别,然后转换^{} 并添加到列:
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