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)
以下是代码 -
import pandas as pd # DatetimeIndex with period 6 and frequency as D i.e. day # timezone is Australia/Sydney datetimeindex = pd.date_range('2021-10-20 02:35:55', periods=6, tz='Australia/Sydney',freq='D') # display DateTimeIndex print("DateTimeIndex...\n", datetimeindex) # display DateTimeIndex frequency print("DateTimeIndex frequency...\n", datetimeindex.freq) # get the day 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')