我有一个包含许多列的 Pandas 数据框。其中两个是时间戳( start
和 end
)。
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,重复其他列 value
中的值和string
属于同一时间间隔,如下所示:
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
....
时间间隔有很多交集,所以我无法使用 df.resample
与 DatetimeIndex
.
最佳答案
您可以使用 pd.date_range
为每行创建一个日期范围,然后分解
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
...
关于python - 创建新行并根据时间间隔重复这些值(如果它们属于),我们在Stack Overflow上找到一个类似的问题: https://stackoverflow.com/questions/70443158/