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

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

首先，导入所需的库 −

import pandas as pd

创建具有周期 5 和频率为 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

# DatetimeIndex with period 5 and frequency as Y i.e. year
datetimeindex = pd.date_range('2021-10-18 07:20:32.261811624', periods=5, freq='2Y')

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

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

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

输出

以下代码会生成以下结果 −

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 of datetime.datetime objects...
[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)]

更新于： 19-10-2021

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