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法律研究Python Pandas - 返回對業務日偏移應用的增加計數
要返回對 BusinessDay 偏移應用的增加計數，請在 Pandas 中使用 BusinessDay.n 屬性。
首先，匯入所需的庫 −
import datetime import pandas as pd
在 Pandas 中設定時間戳物件” −
timestamp = pd.Timestamp('2021-10-30 01:55:02.000045')
建立 BusinessDay 偏移。BusinessDay 是 DateOffset 子類 −
bdOffset = pd.tseries.offsets.BusinessDay(n = 6)
顯示更新後的時間戳 −
print("\nUpdated Timestamp...\n",timestamp + bdOffset)
返回給定 BusinessDay 物件上的增量計數 −
print("\nThe count of increments on the BusinessDay object..\n", bdOffset.n)示例
以下是程式碼 −
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)輸出
這將生成以下程式碼 −
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
更新於：21-Oct-2021
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