Python Pandas - 从 PeriodIndex 对象中获取年份
要从PeriodIndex对象获取年份，请使用PeriodIndex.year属性。
首先，导入所需的库-
import pandas as pd
创建一个PeriodIndex对象。我们使用“freq”参数设置了频率-
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)显示PeriodIndex频率-
print("\nPeriodIndex frequency object...\n", periodIndex.freq)从PeriodIndex对象显示年份-
print("\nThe year from the PeriodIndex object...\n", periodIndex.year)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)
#DisplayyearfromthePeriodIndexobject
print("\nThe year from the PeriodIndex object...\n", periodIndex.year)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 year from the PeriodIndex object... Int64Index([2021, 2019, 2021, 2022], dtype='int64')
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