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法律研究Python Pandas - 檢查 BusinessDay 偏移是否已被規範化
若要檢查 BusinessDay 偏移是否已被規範化，請在 Pandas 中使用 BusinessDay.normalize 屬性。
首先，匯入必需的庫 −
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。我們使用“normalize”引數對 BusinessDay 進行了規範化 −
bdOffset = pd.tseries.offsets.BusinessDay(offset = datetime.timedelta(hours = 8, minutes = 10), normalize=True)
顯示更新的時間戳 −
print("\nUpdated Timestamp...\n",timestamp + bdOffset)
檢查 BusinessDay 偏移是否已規範化 −
print("\nThe BusinessDay Offset is normalized..\n", bdOffset.normalize)示例
以下為程式碼 −
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
# We have normalized the BusinessDay using the "normalize" parameter
bdOffset = pd.tseries.offsets.BusinessDay(offset = datetime.timedelta(hours = 8, minutes = 10), normalize=True)
# 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 name of the frequency applied on the given BusinessDay object
print("\nThe name of the frequency on the BusinessDay object..\n", bdOffset.name)
# check whether the BusinessDay Offset is normalized or not
print("\nThe BusinessDay Offset is normalized..\n", bdOffset.normalize)輸出
這將產生以下程式碼 −
Timestamp... 2021-10-30 01:55:02.000045 BusinessDay Offset... <BusinessDay: offset=datetime.timedelta(seconds=29400)> Updated Timestamp... 2021-11-01 00:00:00 Frequency on the given BusinessDay Offset... B+8H10Min The name of the frequency on the BusinessDay object.. B The BusinessDay Offset is normalized.. True
更新日期： 21-10-2021
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