Python Pandas - 检查 BusinessDay 偏移是否已被规范化
若要检查 BusinessDay 偏移是否已被规范化,请在 Pandas 中使用 BusinessDay.normalize 属性。
首先,导入必需的库 −
import datetime import pandas as pd
在 Pandas 中设置时间戳对象 −
timestamp = pd.Timestamp('2021-10-30 01:55:02.000045')
创建 BusinessDay 偏移。BusinessDay 是 DateOffset 子类。我们使用“normalize”参数对 BusinessDay 进行了规范化 −
bdOffset = pd.tseries.offsets.BusinessDay(offset = datetime.timedelta(hours = 8, minutes = 10), normalize=True)
显示更新的时间戳 −
print("\nUpdated Timestamp...\n",timestamp + bdOffset)
检查 BusinessDay 偏移是否已规范化 −
print("\nThe BusinessDay Offset is normalized..\n", bdOffset.normalize)
示例
以下为代码 −
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)
输出
这将产生以下代码 −
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
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