Python Pandas - 创建一个 PeriodIndex 并获取一周中的天数

要创建PeriodIndex，请使用方法。使用PeriodIndex.dayofweek属性获取星期几。pandas.PeriodIndex()

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([2018-07-25, 2019-10-30, 2020-11-20, 2021-09-15, 2022-03-12, 2023-06-18], freq="D")

显示PeriodIndex对象-

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

显示来自PeriodIndex对象的星期几。星期几显示为星期一=0，星期二=1...星期日=6-

print("\nDays of the week from the PeriodIndex...\n", periodIndex.dayofweek)

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([2018-07-25, 2019-10-30, 2020-11-20, 2021-09-15, 2022-03-12, 2023-06-18], freq="D") #DisplayPeriodIndexobject print("PeriodIndex...\n", periodIndex) #DisplayPeriodIndexfrequency print("\nPeriodIndex frequency...\n", periodIndex.freq) #DisplaydayfromthePeriodIndexobject print("\nThe number of days from the PeriodIndex...\n", periodIndex.day) #DisplaydayoftheweekfromthePeriodIndexobject #DaysofweekaredisplayedasMonday=0,Tuesday=1...Sunday=6 print("\nDays of the week from the PeriodIndex...\n", periodIndex.dayofweek)输出结果

这将产生以下代码-

PeriodIndex... PeriodIndex([2018-07-25, 2019-10-30, 2020-11-20, 2021-09-15, 2022-03-12, 2023-06-18], dtype=period[D]) PeriodIndex frequency... <Day> The number of days from the PeriodIndex... Int64Index([25, 30, 20, 15, 12, 18], dtype=int64) Days of the week from the PeriodIndex... Int64Index([2, 2, 4, 2, 5, 6], dtype=int64)