Python Pandas - 从 PeriodIndex 对象获取周期的秒数

要从PeriodIndex对象获取周期的秒数，请使用PeriodIndex.second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="S")

显示PeriodIndex对象-

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

显示来自PeriodIndex对象的秒数-

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

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="S") #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) #DisplaysecondsfromthePeriodIndexobject print("\nThe seconds from the PeriodIndex object...\n", periodIndex.second)输出结果

这将产生以下代码-

PeriodIndex... 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], dtype=period[S]) PeriodIndex frequency object... <Second> PeriodIndex frequency object as a string... S The seconds from the PeriodIndex object... Int64Index([35, 45, 15, 55], dtype=int64)