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

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

首先，导入所需库 −

import pandas as pd

创建一个周期为5、频率为Y（即年）的DatetimeIndex −

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

显示DatetimeIndex −

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

将DatetimeIndex作为对象ndarray返回−

print("\nReturn DatetimeIndex as object ndarray of datetime.datetime objects...\n",
datetimeindex.to_pydatetime())

示例

以下是代码 −

import pandas as pd

#周期为5，频率为Y（即年）的DatetimeIndex
datetimeindex = pd.date_range('2021-10-18 07:20:32.261811624', periods=5, freq='2Y')

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

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

#将DatetimeIndex作为对象ndarray返回
print("\nReturn DatetimeIndex as object ndarray of datetime.datetime objects...\n",
datetimeindex.to_pydatetime())

输出

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>

将DatetimeIndex作为datetime.datetime对象的对象ndarray返回...
[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)]