从特定时间序列频率的DateTimeIndex中提取小时Python Pandas

要从特定时间序列频率的DateTimeIndex中提取小时，请使用 DateTimeIndex.hour 属性。

首先，导入所需的库−

import pandas as pd

带有周期6和频率为H即小时的DatetimeIndex。时区为Australia/Sydney−

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

显示DateTimeIndex−

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

获取小时−

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

例子

以下是代码－

import pandas as pd

# 带有周期6和频率为H即小时的DatetimeIndex
# 时区为Australia/Sydney
datetimeindex = pd.date_range('2021-10-20 02:35:55', periods=6, tz='Australia/Sydney', freq='H')

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

# 显示DateTimeIndex频率
print("DateTimeIndex frequency...\n", datetimeindex.freq)

# 获取小时
print("\nGetting the hour..\n",datetimeindex.hour)

输出

这将产生以下代码−

DateTimeIndex...
DatetimeIndex(['2021-10-20 02:35:55+11:00', '2021-10-20 03:35:55+11:00',
'2021-10-20 04:35:55+11:00', '2021-10-20 05:35:55+11:00',
'2021-10-20 06:35:55+11:00', '2021-10-20 07:35:55+11:00'],
dtype='datetime64[ns, Australia/Sydney]', freq='H')

DateTimeIndex frequency...
<Hour>

Getting the hour..
Int64Index([2, 3, 4, 5, 6, 7], dtype='int64')