Python Pandas - 将周期转换为所需的频率

要将Period转换为所需频率，请使用方法。假设我们将使用“H”说明符设置为所需的每小时频率。period.asfreq()

首先，导入所需的库-

import pandas as pd

的pandas.Period代表的一段时间。创建两个Period对象

period1 = pd.Period("2020-09-23 03:15:40") period2 = pd.Period(freq="D", year = 2021, month = 4, day = 16, hour = 2, minute = 35)

显示期间对象

print("Period1...\n", period1) print("Period2...\n", period2)

将周期转换为所需频率。我们将频率设置为H即每小时频率

res1 = period1.asfreq(H) res2 = period2.asfreq(H)

示例

以下是代码

import pandas as pd #Thepandas.Periodrepresentsaperiodoftime #creatingtwoPeriodobjects period1 = pd.Period("2020-09-23 03:15:40") period2 = pd.Period(freq="D", year = 2021, month = 4, day = 16, hour = 2, minute = 35) #displaythePeriodobjects print("Period1...\n", period1) print("Period2...\n", period2) #ConvertPeriodtodesiredfrequency #WehavesetfrequencyasHi.e.Hourlyfrequency res1 = period1.asfreq(H) res2 = period2.asfreq(H) #ReturntheyearfromthetwoPeriodobjects print("\nResult after conversion from the 1st Period object ...\n", res1) print("\nResult after conversion from the 2nd Period object...\n", res2)输出结果

这将产生以下代码

Period1... 2020-09-23 03:15:40 Period2... 2021-04-16 Result after conversion from the 1st Period object ... 2020-09-23 03:00 Result after conversion from the 2nd Period object... 2021-04-16 23:00