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Python Pandas - 将给定 Period 对象的频率从秒更改为每日频率

2026-06-03 1 花语

要将给定Period对象的频率从Seconds更改为Daily频率,请使用该方法并设置参数“D”。period.asfreq()

首先,导入所需的库-

import pandas as pd

的pandas.Period代表的一段时间。创建一个Period对象。我们已将频率设置为秒,即。S使用freq参数

period = pd.Period(freq="S", year = 2021, month = 4, day = 16, hour = 2, minute = 35, second = 15)

以秒频率显示Period对象

print("Period...\n", period)

将周期从秒转换为每日频率。我们已设置“D”以使用将秒数转换为每日频率asfreq()

res = period.asfreq(D)

示例

以下是代码

import pandas as pd #Thepandas.Periodrepresentsaperiodoftime #CreatingaPeriodobject # We have set the frequency as seconds ie. S using the freq parameter period = pd.Period(freq="S", year = 2021, month = 4, day = 16, hour = 2, minute = 35, second = 15) #displaythePeriodobjectwithSecondsfrequency print("Period...\n", period) #ConvertPeriodfromSecondstoDailyfrequency # We have set the "D" to convert seconds to daily frequency using asfreq() res = period.asfreq(D) #displaytheresultafterconversionfromSecondstoDailyfrequency print("\nFinal result after converting frequency ...\n", res)输出结果

这将产生以下代码

Period... 2021-04-16 02:35:15 Final result after converting frequency ... 2021-04-16