CustomBusinessDay Offset이 정규화되었는지 확인하려면 Pandas의 CustomBusinessDay.normalize 속성을 사용하세요.
먼저 필요한 라이브러리를 가져옵니다 -
import pandas as pd
Pandas에서 타임스탬프 개체 설정 -
timestamp = pd.Timestamp('2021-10-22 03:10:35')
CustomBusinessDay 오프셋을 만듭니다. CustomBusinessDay는 휴일을 제외한 사용자 지정 영업일을 나타내는 DateOffset 하위 클래스입니다. 유효한 영업일의 주간 마스크. "normalize" 매개변수를 사용하여 CustomBusinessDay를 정규화했습니다 -
cbdOffset = pd.tseries.offsets.CustomBusinessDay(n = 2, weekmask = 'Mon Tue Wed Fri', normalize=True)
타임스탬프에 오프셋을 추가하고 업데이트된 타임스탬프 표시 -
print("\nUpdated Timestamp...\n",timestamp + cbdOffset)
CustomBusinessDay Offset이 정규화되었는지 확인하십시오 -
print("\nThe CustomBusinessDay Offset is normalized ?\n", cbdOffset.normalize)
예
다음은 코드입니다 -
import pandas as pd # Set the timestamp object in Pandas timestamp = pd.Timestamp('2021-10-22 03:10:35') # Display the Timestamp print("Timestamp...\n",timestamp) # Create the CustomBusinessDay Offset # CustomBusinessDay is the DateOffset subclass representing custom business days excluding holidays # Weekmask of valid business days # We have normalized the CustomBusinessDay using the "normalize" parameter cbdOffset = pd.tseries.offsets.CustomBusinessDay(n = 2, weekmask = 'Mon Tue Wed Fri', normalize=True) # Display the CustomBusinessDay Offset print("\nCustomBusinessDay Offset...\n",cbdOffset) # Add the offset to the Timestamp and display the Updated Timestamp print("\nUpdated Timestamp...\n",timestamp + cbdOffset) # Return frequency applied on the given CustomBusinessDay Offset object as a string print("\nFrequency applied on the given CustomBusinessDay Offset object...\n",cbdOffset.freqstr) # check whether the CustomBusinessDay Offset is normalized or not print("\nThe CustomBusinessDay Offset is normalized ?\n", cbdOffset.normalize)
출력
이것은 다음 코드를 생성합니다 -
Timestamp... 2021-10-22 03:10:35 CustomBusinessDay Offset... <2 * CustomBusinessDays> Updated Timestamp... 2021-10-26 00:00:00 Frequency applied on the given CustomBusinessDay Offset object... 2C The CustomBusinessDay Offset is normalized ? True