Python Pandas - 从 PeriodIndex 对象获取周期中的一周

2026-06-03 1 花语

要从PeriodIndex对象获取周期中的周数，请使用PeriodIndex.week属性。

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, 2021-07-15 02:55:15, 2022-06-25 09:40:55], freq="T")

显示PeriodIndex对象-

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

从PeriodIndex对象显示周-

print("\nThe week from the PeriodIndex object...\n", periodIndex.week)

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, 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) #DisplayweekfromthePeriodIndexobject print("\nThe week from the PeriodIndex object...\n", periodIndex.week)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 week from the PeriodIndex object... Int64Index([38, 44, 28, 25], dtype=int64)