Python Pandas – 提取带有指定时间序列频率的 DateTimeIndex 的日期

要提取带有指定时间序列频率的 DateTimeIndex 的日期，使用 DateTimeIndex.day 属性。

首先导入所需的库−

import pandas as pd

在时期为 6，频率为 D 即每天，时区为 Australia/Sydney 的 DateTimeIndex 中提取年份 −

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

显示 DateTimeIndex −

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

获取日期 −

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

示例

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

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')