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

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

首先，导入所需的库-

import pandas as pd

DatetimeIndex周期为6，频率为D即日。时区是澳大利亚/悉尼-

datetimeindex = pd.date_range(2021-10-20 02:35:55, periods=6, tz=Australia/Sydney,freq=D)

显示日期时间索引-

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

得到这一天-

print("\nGetting the day..\n",datetimeindex.day)

示例

以下是代码-

import pandas as pd #DatetimeIndexwithperiod6andfrequencyasDi.e.day #timezoneisAustralia/Sydney datetimeindex = pd.date_range(2021-10-20 02:35:55, periods=6, tz=Australia/Sydney,freq=D) #displayDateTimeIndex print("DateTimeIndex...\n", datetimeindex) #displayDateTimeIndex frequency print("DateTimeIndex frequency...\n", datetimeindex.freq) #gettheday print("\nGetting the day..\n",datetimeindex.day)输出结果

这将产生以下输出-

DateTimeIndex... DatetimeIndex([2021-10-20 02:35:55+11:00, 2021-10-21 02:35:55+11:00, 2021-10-22 02:35:55+11:00, 2021-10-23 02:35:55+11:00, 2021-10-24 02:35:55+11:00, 2021-10-25 02:35:55+11:00], dtype=datetime64[ns, Australia/Sydney], freq=D) DateTimeIndex frequency... <Day> Getting the day.. Int64Index([20, 21, 22, 23, 24, 25], dtype=int64)