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')