Python Pandas - 如何以分钟频率舍入 DateTimeIndex

要以分钟频率舍入DateTimeIndex，请使用该方法。对于分钟频率，使用值为T的freq 参数。DateTimeIndex.round()

首先，导入所需的库-

import pandas as pd

DatetimeIndex，周期为5，频率为秒。时区是澳大利亚/阿德莱德-

datetimeindex = pd.date_range(2021-09-29 07:00, periods=5, tz=Australia/Adelaide, freq=45s)

显示日期时间索引-

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

以分钟频率对DateTimeIndex日期进行舍入操作。对于分钟频率，我们使用了T-

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

示例

以下是代码-

import pandas as pd #DatetimeIndexwithperiod5andfrequencyassi.e.seconds #timezoneisAustralia/Adelaide datetimeindex = pd.date_range(2021-09-29 07:00, periods=5, tz=Australia/Adelaide, freq=45s) #displayDateTimeIndex print("DateTimeIndex...\n", datetimeindex) #displayDateTimeIndex frequency print("DateTimeIndex frequency...\n", datetimeindex.freq) #gettingtheminute res = datetimeindex.minute #displayonlytheminute print("\nThe minute from DateTimeIndex...\n", res) #RoundoperationonDateTimeIndexdatewithminutefrequency # For minute frequency, we have used T print("\nPerforming round operation with minute frequency...\n", datetimeindex.round(freq=T))输出结果

这将产生以下代码-

DateTimeIndex... DatetimeIndex([2021-09-29 07:00:00+09:30, 2021-09-29 07:00:45+09:30, 2021-09-29 07:01:30+09:30, 2021-09-29 07:02:15+09:30, 2021-09-29 07:03:00+09:30], dtype=datetime64[ns, Australia/Adelaide], freq=45S) DateTimeIndex frequency... <45 * Seconds> The minute from DateTimeIndex... Int64Index([0, 0, 1, 2, 3], dtype=int64) Performing round operation with minute frequency... DatetimeIndex([2021-09-29 07:00:00+09:30, 2021-09-29 07:01:00+09:30, 2021-09-29 07:02:00+09:30, 2021-09-29 07:02:00+09:30, 2021-09-29 07:03:00+09:30], dtype=datetime64[ns, Australia/Adelaide], freq=None)