PeriodIndex 객체를 Timestamp로 변환하려면 PeriodIndex.to_timestamp()를 사용하세요. 방법.
먼저 필요한 라이브러리를 가져옵니다 -
import pandas as pd
PeriodIndex 객체 생성 -
periodIndex = pd.PeriodIndex(['2021-09-25 07:30:35', '2019-10-30 04:15:45', '2020-07-15 02:55:15', '2022-06-25 09:40:55'], freq="Y")
PeriodIndex 개체 표시 -
print("PeriodIndex...\n", periodIndex)
PeriodIndex를 타임스탬프로 변환 -
print("\nPeriodIndex object to timestamp...\n", periodIndex.to_timestamp())
예
다음은 코드입니다 -
import pandas as pd # Create a PeriodIndex object # PeriodIndex is an immutable ndarray holding ordinal values indicating regular periods in time # We have set the frequency using the "freq" parameter periodIndex = pd.PeriodIndex(['2021-09-25 07:30:35', '2019-10-30 04:15:45', '2020-07-15 02:55:15', '2022-06-25 09:40:55'], freq="Y") # Display PeriodIndex object print("PeriodIndex...\n", periodIndex) # Display PeriodIndex frequency print("\nPeriodIndex frequency object...\n", periodIndex.freq) # Display PeriodIndex frequency as string print("\nPeriodIndex frequency object as a string...\n", periodIndex.freqstr) # Convert PeriodIndex to timestamp print("\nPeriodIndex object to timestamp...\n", periodIndex.to_timestamp())
출력
이것은 다음 코드를 생성합니다 -
PeriodIndex... PeriodIndex(['2021', '2019', '2020', '2022'], dtype='period[A-DEC]') PeriodIndex frequency object... <YearEnd: month=12> PeriodIndex frequency object as a string... A-DEC PeriodIndex object to timestamp... DatetimeIndex(['2021-01-01', '2019-01-01', '2020-01-01', '2022-01-01'], dtype='datetime64[ns]', freq=None)