Python Pandas - DateTimeIndex의 날짜가 분기의 첫 번째 날인지 여부를 나타냅니다.

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 −

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]