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
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