DateTimeIndex의 날짜가 분기의 첫 번째 날인지 확인하려면 DateTimeIndex.is_quarter_start를 사용하세요. 재산.
먼저 필요한 라이브러리를 가져옵니다 -
import pandas as pd
기간이 6이고 빈도가 D 즉, 일 −
인 DatetimeIndex를 만듭니다.datetimeindex = pd.date_range('2021-10-1 02:30:50', periods=6, tz='Australia/Adelaide', freq='30D')
DateTimeIndex 표시 -
print("DateTimeIndex...\n", datetimeindex)
DateTimeIndex의 날짜가 분기의 첫 번째 날인지 확인하십시오 -
print("\nCheck whether the date in DateTimeIndex is the first day of the quarter...\n", datetimeindex.is_quarter_start)
예시
다음은 코드입니다 -
import pandas as pd # DatetimeIndex with period 6 and frequency as D i.e. days # The timezone is Australia/Adelaide datetimeindex = pd.date_range('2021-10-1 02:30:50', periods=6, tz='Australia/Adelaide', freq='30D') # display DateTimeIndex print("DateTimeIndex...\n", datetimeindex) # display DateTimeIndex frequency print("DateTimeIndex frequency...\n", datetimeindex.freq) # Check whether the date in DateTimeIndex is the first day of the quarter # Result is based on the following quarters of an year: # Quarter 1 = 1st January to 31st March # Quarter 2 = 1st April to 30th June # Quarter 3 = 1st July to 30th September # Quarter 4 = 1st October to 31st December print("\nCheck whether the date in DateTimeIndex is the first day of the quarter...\n", datetimeindex.is_quarter_start)
출력
이것은 다음 코드를 생성합니다 -
DateTimeIndex... DatetimeIndex(['2021-10-01 02:30:50+09:30', '2021-10-31 02:30:50+10:30', '2021-11-30 02:30:50+10:30', '2021-12-30 02:30:50+10:30', '2022-01-29 02:30:50+10:30', '2022-02-28 02:30:50+10:30'], dtype='datetime64[ns, Australia/Adelaide]', freq='30D') DateTimeIndex frequency... <30 * Days> Check whether the date in DateTimeIndex is the first day of the quarter... [ True False False False False False]