to_series() 사용 Pandas의 TimeDeltaIndex에서 시리즈를 만드는 방법입니다.
먼저 필요한 라이브러리를 가져옵니다 -
import pandas as pd
TimeDeltaIndex 개체를 만듭니다. 'data' 매개변수를 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 시리즈로 변환 -
print("\nTimeDeltaIndex to series...\n", tdIndex.to_series())
예
다음은 코드입니다 -
import pandas as pd
# Create a TimeDeltaIndex object
# We have set the timedelta-like data using the 'data' parameter
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())
# Convert TimeDeltaIndex to Series
print("\nTimeDeltaIndex to series...\n", tdIndex.to_series()) 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)] TimeDeltaIndex to series... 10 days 05:02:00.000003010 10 days 05:02:00.000003010 0 days 22:39:19.999999 0 days 22:39:19.999999 2 days 07:08:02.000045 2 days 07:08:02.000045 0 days 21:15:45.999999 0 days 21:15:45.999999 dtype: timedelta64[ns]