要从PeriodIndex对象获取期间的小时,请使用PeriodIndex.hour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。我们使用“freq”参数设置了频率-
periodIndex = pd.PeriodIndex([2021-09-25 07:50:35, 2019-10-30 04:35:45, 2021-07-15 02:25:15, 2022-06-25 09:20:55], freq="T")显示PeriodIndex对象-
print("PeriodIndex...\n", periodIndex)从PeriodIndex对象显示小时-
print("\nThe hour from the PeriodIndex object...\n", periodIndex.hour)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 07:50:35, 2019-10-30 04:35:45, 2021-07-15 02:25:15, 2022-06-25 09:20:55], 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) #DisplayhourfromthePeriodIndexobject print("\nThe hour from the PeriodIndex object...\n", periodIndex.hour)输出结果这将产生以下代码-
PeriodIndex... PeriodIndex([2021-09-25 07:50, 2019-10-30 04:35, 2021-07-15 02:25, 2022-06-25 09:20], dtype=period[T]) PeriodIndex frequency object... <Minute> PeriodIndex frequency object as a string... T The hour from the PeriodIndex object... Int64Index([7, 4, 2, 9], dtype=int64)