Python Pandas - TimeDeltaIndex를 datetime.datetime 객체의 객체 ndarray로 반환

Datetime.datetime 객체의 객체 ndarray로 TimeDeltaIndex를 반환하려면 TimeDeltaIndex.to_pytimedelta()를 사용하세요. 방법.

먼저 필요한 라이브러리를 가져옵니다 -

import pandas as pd

TimeDeltaIndex 개체를 만듭니다. 'data' 매개변수도 사용하여 timedelta와 같은 데이터를 설정했습니다. -

tdIndex = pd.TimedeltaIndex(data =['10 day 5h 2 min 3us 10ns', '+22:39:19.999999',
'2 day 4h 03:08:02.000045', '+21:15:45.999999'])

TimeDeltaIndex를 객체 ndarray로 반환 -

print("\nReturn TimeDeltaIndex as object ndarray of datetime.datetime objects...\n",
tdIndex.to_pytimedelta())

예시

다음은 코드입니다 -

import pandas as pd

# Create a TimeDeltaIndex object
# We have set the timedelta-like data using the 'data' parameter as well
tdIndex = pd.TimedeltaIndex(data =['10 day 5h 2 min 3us 10ns', '+22:39:19.999999',
'2 day 4h 03:08:02.000045', '+21:15:45.999999'])

# display TimedeltaIndex
print("TimedeltaIndex...\n", tdIndex)

# Return a dataframe of the components of TimeDeltas
print("\nThe Dataframe of the components of TimeDeltas...\n", tdIndex.components)

# Return TimeDeltaIndex as object ndarray
print("\nReturn TimeDeltaIndex as object ndarray of datetime.datetime objects...\n",
tdIndex.to_pytimedelta())

출력

이것은 다음 코드를 생성합니다 -

TimedeltaIndex...
TimedeltaIndex(['10 days 05:02:00.000003010', '0 days 22:39:19.999999',
'2 days 07:08:02.000045', '0 days 21:15:45.999999'],
dtype='timedelta64[ns]', freq=None)

The Dataframe of the components of TimeDeltas...
  days hours minutes seconds milliseconds microseconds nanoseconds
0 10    5     2       0        0            3            10
1 0     22   39       19      999          999            0
2 2     7    8        2        0           45             0
3 0     21   15       45      999         999             0

Return TimeDeltaIndex as object ndarray of datetime.datetime objects...
[datetime.timedelta(days=10, seconds=18120, microseconds=3)
datetime.timedelta(seconds=81559, microseconds=999999)
datetime.timedelta(days=2, seconds=25682, microseconds=45)
datetime.timedelta(seconds=76545, microseconds=999999)]