多天的时间段

Question

I have the following DataFrame:

import pandas as pd

data = {'ID': [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1],
'Time_order': ['2019-01-01 07:00:00', '2019-01-01 07:25:00', '2019-01-02 07:02:00', '2019-01-02 07:27:00', '2019-01-02 06:58:00', '2019-01-03 07:24:00', '2019-01-04 07:03:00', '2019-01-04 07:24:00', '2019-01-05 07:05:00', '2019-01-05 07:30:00', '2019-01-06 07:00:00', '2019-01-06 07:25:00', '2019-01-07 07:02:00', '2019-01-07 07:27:00', '2019-01-08 06:58:00', '2019-01-08 07:24:00', '2019-01-09 07:03:00', '2019-01-09 07:24:00', '2019-01-10 07:05:00', '2019-01-10 07:30:00',
'2019-01-11 017:00:00', '2019-01-11 17:25:00', '2019-01-12 07:02:00', '2019-01-12 07:27:00', '2019-01-13 06:58:00', '2019-01-13 07:24:00', '2019-01-14 07:03:00', '2019-01-14 07:24:00', '2019-01-15 07:05:00', '2019-01-15 07:30:00']}

df = pd.DataFrame(data)

df['Time_order'] = pd.to_datetime(df['Time_order'])
df['hour'] = df['Time_order'].dt.strftime('%H:%M:%S)

I wanted to make a time_period = 25 minutes of length 25 minutes, so that I can check wether there are orders in that time_period. For example: I will start checking everyday starting from midnight, eg from 00:00:00 to 00:25:00 and claculate how many orders are in that order and then move on by a 5 minutes, eg from 00:05:00 to 00:30:00 and so on scanning the whole day until 23:59:00 . What I am expecting is how many orders where made and pick the maximum ones, so that it returns at which time there is a peak of orders during that time period.

I tired the following:

x = 12 * 24 # each five minutes per hour (12) times 24 hours (a day)
for i in range(x):
    df[f'each{i}_minutes_start'] = pd.to_datetime(df['Time_order']).dt.floor(f'{i}_min')
    df[f'each{i}_minutes_end'] = df[f'each{i}_minutes_start'] + pd.Timedelta(minutes = 5)

    df['time_period'] = df[f'each{i}_minutes_start'].dt.strftime('%H:%M:S%') + '-' + pd.to_datetime(df[f'each{i}_minutes_end']).dt.strtime('%H:%M:S%')

at this point I stucked and could not come forward. Thank you in advance

Answer 1

I think this works:

df.set_index('Time_order').resample("5min").count().rolling(6)['ID'].sum()