Python Pandas - 使用 DateTimeIndex 创建日期时间

要创建日期时间，我们将使用date_range().周期和时区也将与频率一起设置。首先，导入所需的库-

import pandas as pd

DatetimeIndex周期为8，频率为M，即月。时区是澳大利亚/悉尼-

datetime = pd.date_range(2021-09-24 02:35:55, periods=8, tz=Australia/Sydney, freq=M)

显示日期时间-

print("DateTime...\n", datetime)

示例

以下是代码-

import pandas as pd #DatetimeIndex，周期为8，频率为M即月 #时区是澳大利亚/悉尼 datetime = pd.date_range(2021-09-24 02:35:55, periods=8, tz=Australia/Sydney, freq=M) #展示 print("DateTime...\n", datetime) #获取日期名称 print("\nGetting the day name..\n",datetime.day_name()) #获取月份名称 print("\nGetting the month name..\n",datetime.month_name()) #得到年份 print("\nGetting the year name..\n",datetime.year) #得到小时 print("\nGetting the hour..\n",datetime.hour) #得到分钟 print("\nGetting the minutes..\n",datetime.minute) #得到秒 print("\nGetting the seconds..\n",datetime.second)输出结果

这将产生以下输出-

DateTime... DatetimeIndex([2021-09-30 02:35:55+10:00, 2021-10-31 02:35:55+11:00, 2021-11-30 02:35:55+11:00, 2021-12-31 02:35:55+11:00, 2022-01-31 02:35:55+11:00, 2022-02-28 02:35:55+11:00, 2022-03-31 02:35:55+11:00, 2022-04-30 02:35:55+10:00], dtype=datetime64[ns, Australia/Sydney], freq=M) Getting the day name.. Index([Thursday, Sunday, Tuesday, Friday, Monday, Monday,Thursday, Saturday], dtype=object) Getting the month name.. Index([September, October, November, December, January, February,March, April], dtype=object) Getting the year name.. Int64Index([2021, 2021, 2021, 2021, 2022, 2022, 2022, 2022], dtype=int64) Getting the hour.. Int64Index([2, 2, 2, 2, 2, 2, 2, 2], dtype=int64) Getting the minutes.. Int64Index([35, 35, 35, 35, 35, 35, 35, 35], dtype=int64) Getting the seconds.. Int64Index([55, 55, 55, 55, 55, 55, 55, 55], dtype=int64)