创建新行并根据时间间隔重复值(如果它们属于

Create new rows and repeat the values based on time interval if they belong to

我有一个包含很多列的 Pandas 数据框。其中两个是时间戳(startend)。


       start                 end             value  string
    2021-12-01 14:00:00     2021-12-01 14:35:00     1   a
    2021-12-01 17:00:00     2021-12-01 17:30:00     2   b
    2021-12-01 14:00:00     2021-12-01 16:00:00     3   c

我需要将时间戳标记(下面的 time 列)标准化为 5 到 5 分钟,重复属于同一时间的其他列 valuestring 中的值间隔,像这样:

 

           time                  start               end             value  string
    2021-12-01 14:00:00     2021-12-01 14:00:00     2021-12-01 14:35:00     1   a
    2021-12-01 14:05:00     2021-12-01 14:00:00     2021-12-01 14:35:00     1   a
    2021-12-01 14:10:00     2021-12-01 14:00:00     2021-12-01 14:35:00     1   a
    2021-12-01 14:15:00     2021-12-01 14:00:00     2021-12-01 14:35:00     1   a
    2021-12-01 14:20:00     2021-12-01 14:00:00     2021-12-01 14:35:00     1   a
    2021-12-01 14:25:00     2021-12-01 14:00:00     2021-12-01 14:35:00     1   a
    2021-12-01 14:30:00     2021-12-01 14:00:00     2021-12-01 14:35:00     1   a
    2021-12-01 17:00:00     2021-12-01 17:00:00     2021-12-01 17:30:00     2   b
    2021-12-01 17:05:00     2021-12-01 17:00:00     2021-12-01 17:30:00     2   b

....

时间间隔有很多交点,所以我不能用df.resampleDatetimeIndex

您可以为每一行创建一个 pd.date_range 的日期范围,然后 explode 它们:

new_df = df.assign(time=df.apply(lambda x: pd.date_range(x['start'], x['end'], freq='5min'), axis=1)).explode('time').reset_index(drop=True)

输出:

>>> new
                 start                 end  value string                time
0  2021-12-01 14:00:00 2021-12-01 14:35:00      1      a 2021-12-01 14:00:00
1  2021-12-01 14:00:00 2021-12-01 14:35:00      1      a 2021-12-01 14:05:00
2  2021-12-01 14:00:00 2021-12-01 14:35:00      1      a 2021-12-01 14:10:00
3  2021-12-01 14:00:00 2021-12-01 14:35:00      1      a 2021-12-01 14:15:00
4  2021-12-01 14:00:00 2021-12-01 14:35:00      1      a 2021-12-01 14:20:00
5  2021-12-01 14:00:00 2021-12-01 14:35:00      1      a 2021-12-01 14:25:00
6  2021-12-01 14:00:00 2021-12-01 14:35:00      1      a 2021-12-01 14:30:00
7  2021-12-01 14:00:00 2021-12-01 14:35:00      1      a 2021-12-01 14:35:00
8  2021-12-01 17:00:00 2021-12-01 17:30:00      2      b 2021-12-01 17:00:00
9  2021-12-01 17:00:00 2021-12-01 17:30:00      2      b 2021-12-01 17:05:00
...