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]')