Python Pandas - 如何以微秒频率舍入 DateTimeIndex

2026-06-03 1 花语

要以微秒频率舍入DateTimeIndex，请使用该方法。对于微秒频率，使用值为us的freq参数。DateTimeIndex.round()

首先，导入所需的库-

import pandas as pd

创建一个日期时间索引，周期为5，频率为s即秒-

datetimeindex = pd.date_range(2021-09-29 07:20:32.261811624, periods=5, tz=Australia/Adelaide, freq=28s)

以微秒频率对DateTimeIndex日期进行舍入操作。对于微秒频率，我们使用了“我们”-

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

示例

以下是代码-

import pandas as pd #DatetimeIndexwithperiod5andfrequencyassi.e.seconds #timezoneisAustralia/Adelaide datetimeindex = pd.date_range(2021-09-29 07:20:32.261811624, periods=5, tz=Australia/Adelaide, freq=28s) #displayDateTimeIndex print("DateTimeIndex...\n", datetimeindex) #displayDateTimeIndex frequency print("DateTimeIndex frequency...\n", datetimeindex.freq) #RoundoperationonDateTimeIndexdatewithmicrosecondsfrequency # For microseconds frequency, we have used us print("\nPerforming round operation with microseconds frequency...\n", datetimeindex.round(freq=us))输出结果

这将产生以下代码-

DateTimeIndex... DatetimeIndex([2021-09-29 07:20:32.261811624+09:30, 2021-09-29 07:21:00.261811624+09:30, 2021-09-29 07:21:28.261811624+09:30, 2021-09-29 07:21:56.261811624+09:30, 2021-09-29 07:22:24.261811624+09:30], dtype=datetime64[ns, Australia/Adelaide], freq=28S) DateTimeIndex frequency... <28 * Seconds> Performing round operation with microseconds frequency... DatetimeIndex([2021-09-29 07:20:32.261812+09:30, 2021-09-29 07:21:00.261812+09:30, 2021-09-29 07:21:28.261812+09:30, 2021-09-29 07:21:56.261812+09:30, 2021-09-29 07:22:24.261812+09:30], dtype=datetime64[ns, Australia/Adelaide], freq=None)