DateTime adjustment in pandas

Question

I have a dataframe with thousands of rows, there is a column which is datetime:

I would like to adjust the time, a little like 00 ± 15 -> 00, and 30±15 ->30.
More precise saying is the minute within the range 46<->15 will change to 00, 16<->45 will change to 30, but it also needs care ± 1 on the hour

datetime
2022/11/15 00:29
2022/11/15 00:29
2022/11/15 00:29
2022/11/15 00:59
2022/11/15 00:59
2022/11/15 00:59
2022/11/15 01:35
2022/11/15 01:35
2022/11/15 01:35
2022/11/15 02:01
2022/11/15 02:01
2022/11/15 02:01
2022/11/15 02:45
2022/11/15 02:45
2022/11/15 02:45
2022/11/15 02:48
2022/11/15 02:48
2022/11/15 02:48

After adjustment, it would become

datetime
2022/11/15 00:30
2022/11/15 00:30
2022/11/15 00:30
2022/11/15 01:00
2022/11/15 01:00
2022/11/15 01:00
2022/11/15 01:30
2022/11/15 01:30
2022/11/15 01:30
2022/11/15 02:00
2022/11/15 02:00
2022/11/15 02:00
2022/11/15 02:30
2022/11/15 02:30
2022/11/15 02:30
2022/11/15 03:00
2022/11/15 03:00
2022/11/15 03:00

Asked By: Jay

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Source

Answer 1

Use Series.dt.ceil by 15 minutes and then Series.dt.floor by 30:

df['datetime'] = pd.to_datetime(df['datetime']).dt.ceil('15Min').dt.floor('30Min')
print (df)
              datetime
0  2022-11-15 00:30:00
1  2022-11-15 00:30:00
2  2022-11-15 00:30:00
3  2022-11-15 01:00:00
4  2022-11-15 01:00:00
5  2022-11-15 01:00:00
6  2022-11-15 01:30:00
7  2022-11-15 01:30:00
8  2022-11-15 01:30:00
9  2022-11-15 02:00:00
10 2022-11-15 02:00:00
11 2022-11-15 02:00:00
12 2022-11-15 02:30:00
13 2022-11-15 02:30:00
14 2022-11-15 02:30:00
15 2022-11-15 03:00:00
16 2022-11-15 03:00:00
17 2022-11-15 03:00:00

Answered By: jezrael

DateTime adjustment in pandas

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