Python Pandas - Ceil Operation บน DateTimeIndex ด้วย Microseconds Frequency

ทำ Ceil Operation บน DateTimeIndex ด้วย Microseconds Frequency ใช้ DateTimeIndex.ceil() พารามิเตอร์ freq='us'

1. Import pandas:

import pandas as pd

2. สร้าง DatetimeIndex รอบ 5 ครั้ง ความถี่ S (Seconds) Timezone Australia/Adelaide:

datetimeindex = pd.date_range('2021-10-18 07:20:32.261811624', periods=5, tz='Australia/Adelaide', freq='40S')

3. แสดง DateTimeIndex:

print("DateTimeIndex...\n", datetimeindex)

4. Ceil Operation ด้วย Microseconds Frequency ('us'):

print("\nPerforming ceil operation with microseconds frequency...\n", datetimeindex.ceil(freq='us'))

ตัวอย่างโค้ดเต็ม

import pandas as pd 
datetimeindex = pd.date_range('2021-10-18 07:20:32.261811624', periods=5, tz='Australia/Adelaide', freq='40S') 
print("DateTimeIndex...\n", datetimeindex) 
print("DateTimeIndex frequency...\n", datetimeindex.freq) 
print("\nPerforming ceil operation with microseconds frequency...\n", datetimeindex.ceil(freq='us'))

ผลลัพธ์

DateTimeIndex... DatetimeIndex(['2021-10-18 07:20:32.261811624+10:30', '2021-10-18 07:21:12.261811624+10:30', '2021-10-18 07:21:52.261811624+10:30', '2021-10-18 07:22:32.261811624+10:30', '2021-10-18 07:23:12.261811624+10:30'], dtype='datetime64[ns, Australia/Adelaide]', freq='40S') 
DateTimeIndex frequency... <40 * Seconds> 
Performing ceil operation with microseconds frequency... DatetimeIndex(['2021-10-18 07:20:32.261812+10:30', '2021-10-18 07:21:12.261812+10:30', '2021-10-18 07:21:52.261812+10:30', '2021-10-18 07:22:32.261812+10:30', '2021-10-18 07:23:12.261812+10:30'], dtype='datetime64[ns, Australia/Adelaide]', freq=None)