Python Pandas – 从DateTimeIndex中提取特定时间序列频率的秒数

要从DateTimeIndex中提取特定时间序列频率的秒数，请使用 DateTimeIndex.second 属性。

首先，导入所需的库-

import pandas as pd

创建一个周期为6且频率为S即秒的DateTimeIndex。时区为Australia/Sydney−

datetimeindex = pd.date_range('2021-10-20 02:30:50', periods=6, tz='Australia/Sydney', freq='S')

显示DateTimeIndex−

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

获取秒数-

print("\n获取秒数..\n",datetimeindex.second)

例子

下面是代码 –

import pandas as pd

# DatetimeIndex with period 6 and frequency as S i.e. seconds
# The timezone is Australia/Sydney
datetimeindex = pd.date_range('2021-10-20 02:30:50', periods=6, tz='Australia/Sydney', freq='S')

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

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

# get the seconds
print("\n获取秒数..\n",datetimeindex.second)

输出

这将产生以下代码−

DateTimeIndex...
DatetimeIndex(['2021-10-20 02:30:50+11:00', '2021-10-20 02:30:51+11:00',
'2021-10-20 02:30:52+11:00', '2021-10-20 02:30:53+11:00',
'2021-10-20 02:30:54+11:00', '2021-10-20 02:30:55+11:00'],
dtype='datetime64[ns, Australia/Sydney]', freq='S')
DateTimeIndex frequency...
<Second>

获取秒数..
Int64Index([50, 51, 52, 53, 54, 55], dtype='int64')