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Python Pandas - BusinessDay 오프셋에 적용된 증분 수를 반환합니다.

<시간/>

BusinessDay 오프셋에 적용된 증분 수를 반환하려면 Pandas에서 BusinessDay.n 속성을 사용하세요.

먼저 필요한 라이브러리를 가져옵니다 -

import datetime
import pandas as pd

Pandas에서 타임스탬프 개체 설정" -

timestamp = pd.Timestamp('2021-10-30 01:55:02.000045')

BusinessDay 오프셋을 만듭니다. BusinessDay는 DateOffset 하위 클래스입니다 -

bdOffset = pd.tseries.offsets.BusinessDay(n = 6)

업데이트된 타임스탬프 표시 -

print("\nUpdated Timestamp...\n",timestamp + bdOffset)

주어진 BusinessDay 객체의 증분 수를 반환합니다. -

print("\nThe count of increments on the BusinessDay object..\n", bdOffset.n)

예시

다음은 코드입니다 -

import datetime
import pandas as pd

# Set the timestamp object in Pandas
timestamp = pd.Timestamp('2021-10-30 01:55:02.000045')

# Display the Timestamp
print("Timestamp...\n",timestamp)

# Create the BusinessDay Offset
# BusinessDay is the DateOffset subclass
bdOffset = pd.tseries.offsets.BusinessDay(n = 6)

# Display the BusinessDay Offset
print("\nBusinessDay Offset...\n",bdOffset)

# Display the Updated Timestamp
print("\nUpdated Timestamp...\n",timestamp + bdOffset)

# return the frequency applied on the given BusinessDay object as a string
print("\nFrequency on the given BusinessDay Offset...\n",bdOffset.freqstr)

# return the count of increments on the given BusinessDay object
print("\nThe count of increments on the BusinessDay object..\n", bdOffset.n)

출력

이것은 다음 코드를 생성합니다 -

Timestamp...
 2021-10-30 01:55:02.000045

BusinessDay Offset...
 <6 * BusinessDays>

Updated Timestamp...
 2021-11-08 01:55:02.000045

Frequency on the given BusinessDay Offset...
 6B

The count of increments on the BusinessDay object..
 6