Python Pandas - 从具有特定时间序列频率的 DateTimeIndex 中提取年份

要从具有特定时间序列频率的DateTimeIndex中提取年份，请使用DateTimeIndex.year属性。

首先，导入所需的库-

import pandas as pd

DatetimeIndex，周期为6，频率为Y，即年。时区是澳大利亚/悉尼-

datetimeindex = pd.date_range(2021-09-24 02:35:55, periods=6, tz=Australia/Sydney,freq=Y)

显示日期时间索引-

print("DateTimeIndex...\n", datetimeindex)

获取年份-

print("\nGetting the year name..\n",datetimeindex.year)

示例

以下是代码-

import pandas as pd #DatetimeIndexwithperiod6andfrequencyasYi.e.years #timezoneisAustralia/Sydney datetimeindex = pd.date_range(2021-09-24 02:35:55, periods=6, tz=Australia/Sydney, freq=Y) #displayDateTimeIndex print("DateTimeIndex...\n", datetimeindex) #displayDateTimeIndex frequency print("DateTimeIndex frequency...\n", datetimeindex.freq) #gettheyear print("\nGetting the year name..\n",datetimeindex.year)输出结果

这将产生以下输出-

DateTimeIndex... DatetimeIndex([2021-12-31 02:35:55+11:00, 2022-12-31 02:35:55+11:00, 2023-12-31 02:35:55+11:00, 2024-12-31 02:35:55+11:00, 2025-12-31 02:35:55+11:00, 2026-12-31 02:35:55+11:00], dtype=datetime64[ns, Australia/Sydney], freq=A-DEC) DateTimeIndex frequency... <YearEnd: month=12> Getting the year name.. Int64Index([2021, 2022, 2023, 2024, 2025, 2026], dtype=int64)