Python Pandas PeriodIndex - 将 PeriodArray 转换为指定频率

要将PeriodArray转换为指定的频率，请使用方法。periodIndex.asfreq()

首先，导入所需的库-

import pandas as pd

创建一个PeriodIndex对象-

periodIndex = pd.PeriodIndex([2021-09-25 07:30:35, 2019-10-30 04:15:45, 2020-07-15 02:55:15, 2022-06-25 09:40:55], freq="Y")

显示PeriodIndex对象-

print("PeriodIndex...\n", periodIndex)

转换为指定频率。我们已将频率设置为参数asfreq()-

print("\nConvert..\n", periodIndex.asfreq(M))

示例

以下是代码-

import pandas as pd #CreateaPeriodIndexobject #PeriodIndexisanimmutablendarrayholdingordinalvaluesindicatingregularperiodsintime # We have set the frequency using the "freq" parameter periodIndex = pd.PeriodIndex([2021-09-25 07:30:35, 2019-10-30 04:15:45, 2020-07-15 02:55:15, 2022-06-25 09:40:55], freq="Y") #DisplayPeriodIndexobject print("PeriodIndex...\n", periodIndex) #DisplayPeriodIndexfrequency print("\nPeriodIndex frequency object...\n", periodIndex.freq) #DisplayPeriodIndexfrequency as string print("\nPeriodIndex frequency object as a string...\n", periodIndex.freqstr) #Converttothespecifiedfrequency #Wehavesetthefrequencyastheparameteroftheasfreq() print("\nConvert..\n", periodIndex.asfreq(M))输出结果

这将产生以下代码-

PeriodIndex... PeriodIndex([2021, 2019, 2020, 2022], dtype=period[A-DEC]) PeriodIndex frequency object... <YearEnd: month=12> PeriodIndex frequency object as a string... A-DEC Convert.. PeriodIndex([2021-12, 2019-12, 2020-12, 2022-12], dtype=period[M])