Python Pandas - 从具有特定时间序列频率的 DateTimeIndex 中提取秒数

要从具有特定时间序列频率的DateTimeIndex中提取秒数，请使用DateTimeIndex.second属性。

首先，导入所需的库-

import pandas as pd

创建一个日期时间索引，周期为6，频率为S，即秒。时区是澳大利亚/悉尼-

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

显示日期时间索引-

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

获取秒数-

print("\nGetting the seconds..\n",datetimeindex.second)

示例

以下是代码-

import pandas as pd #DatetimeIndex，周期为6，频率为S，即秒 #时区是澳大利亚/悉尼 datetimeindex = pd.date_range(2021-10-20 02:30:50, periods=6, tz=Australia/Sydney, freq=S) #显示日期时间索引 print("DateTimeIndex...\n", datetimeindex) #显示日期时间索引 frequency print("DateTimeIndex frequency...\n", datetimeindex.freq) #得到秒 print("\nGetting the seconds..\n",datetimeindex.second)输出结果

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> Getting the seconds.. Int64Index([50, 51, 52, 53, 54, 55], dtype=int64)