Python Pandas - 显示给定 PeriodIndex 对象中每个元素的周期结束时间
要显示给定PeriodIndex对象中每个元素的周期结束时间，请使用PeriodIndex.end_time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(['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)显示结束时间-
print("\nEnd Time...\n", periodIndex.end_time)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)
#Displaytheendtime
print("\nEnd Time...\n", periodIndex.end_time)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>
End Time...
DatetimeIndex(['2018-07-25 23:59:59.999999999',
'2019-10-30 23:59:59.999999999',
'2020-11-20 23:59:59.999999999',
'2021-09-15 23:59:59.999999999',
'2022-03-12 23:59:59.999999999',
'2023-06-18 23:59:59.999999999'],
dtype='datetime64[ns]', freq=None)