要从PeriodIndex对象获取时段的分钟数,请使用PeriodIndex.minute属性。
首先,导入所需的库-
import pandas as pd创建一个PeriodIndex对象。PeriodIndex是一个不可变的ndarray,其中包含指示定期时间段的序数值-
periodIndex = pd.PeriodIndex([2021-09-25 07:30:35, 2019-10-30 04:15:45, 2021-07-15 02:55:15, 2022-06-25 09:40:55], freq="T")显示PeriodIndex对象-
print("PeriodIndex...\n", periodIndex)显示来自PeriodIndex对象的分钟-
print("\nThe minute from the PeriodIndex object...\n", periodIndex.minute)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, 2021-07-15 02:55:15, 2022-06-25 09:40:55], freq="T") #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) #DisplayminutefromthePeriodIndexobject print("\nThe minute from the PeriodIndex object...\n", periodIndex.minute)输出结果这将产生以下代码-
PeriodIndex... PeriodIndex([2021-09-25 07:30, 2019-10-30 04:15, 2021-07-15 02:55, 2022-06-25 09:40], dtype=period[T]) PeriodIndex frequency object... <Minute> PeriodIndex frequency object as a string... T The minute from the PeriodIndex object... Int64Index([30, 15, 55, 40], dtype=int64)