Python Pandas - 检查 BusinessDay Offset 是否已标准化
要检查BusinessDayOffset是否已标准化,请使用BusinessDay.normalizePandas中的属性。
首先,导入所需的库-
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')创建工作日偏移量。BusinessDay是DateOffset子类。我们使用“normalize”参数标准化了工作日-
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BusinessDayOffset是否标准化-
print("\nThe BusinessDay Offset is normalized..\n", bdOffset.normalize)示例
以下是代码-
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')
#显示时间戳
print("Timestamp...\n",timestamp)
#创建工作日抵消
#BusinessDay是DateOffset子类
# We have normalized the BusinessDay using the "normalize" parameter
bdOffset = pd.tseries.offsets.BusinessDay(offset = datetime.timedelta(hours = 8, minutes = 10), normalize=True)
#显示工作日偏移
print("\nBusinessDay Offset...\n",bdOffset)
#显示更新的时间戳
print("\nUpdated Timestamp...\n",timestamp + bdOffset)
#以字符串形式返回应用于给定BusinessDay对象的频率
print("\nFrequency on the given BusinessDay Offset...\n",bdOffset.freqstr)
#返回应用于给定BusinessDay对象的频率名称
print("\nThe name of the frequency on the BusinessDay object..\n", bdOffset.name)
#检查BusinessDayOffset是否标准化
print("\nThe BusinessDay Offset is normalized..\n", bdOffset.normalize)输出结果这将产生以下代码-
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