Python Pandas - 将 DatetimeIndex 作为 datetime.datetime 对象的对象 ndarray 返回

要将DatetimeIndex作为对象的对象ndarray返回datetime.datetime，请使用该方法。datetimeindex.to_pydatetime()

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5，频率为Y，即年份-

datetimeindex = pd.date_range(2021-10-18 07:20:32.261811624, periods=5, freq=2Y)

显示日期时间索引-

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

将DatetimeIndex作为对象ndarray返回-

print("\nReturn DatetimeIndex as object ndarray ofdatetime.datetimeobjects...\n", datetimeindex.to_pydatetime())

示例

以下是代码-

import pandas as pd #DatetimeIndex，周期为5，频率为Y，即年份 datetimeindex = pd.date_range(2021-10-18 07:20:32.261811624, periods=5, freq=2Y) #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) #将DatetimeIndex作为对象ndarray返回 print("\nReturn DatetimeIndex as object ndarray ofdatetime.datetimeobjects...\n", datetimeindex.to_pydatetime())输出结果

这将产生以下代码-

DateTimeIndex... DatetimeIndex([2021-12-31 07:20:32.261811624, 2023-12-31 07:20:32.261811624, 2025-12-31 07:20:32.261811624, 2027-12-31 07:20:32.261811624, 2029-12-31 07:20:32.261811624], dtype=datetime64[ns], freq=2A-DEC) DateTimeIndex frequency... <2 * YearEnds: month=12> Return DatetimeIndex as object ndarray ofdatetime.datetimeobjects... [datetime.datetime(2021, 12, 31, 7, 20, 32, 261811) datetime.datetime(2023, 12, 31, 7, 20, 32, 261811) datetime.datetime(2025, 12, 31, 7, 20, 32, 261811) datetime.datetime(2027, 12, 31, 7, 20, 32, 261811) datetime.datetime(2029, 12, 31, 7, 20, 32, 261811)]