Python Pandas - 返回适用于工作日偏移量的增量计数
要返回适用于BusinessDay偏移量的增量计数，请使用BusinessDay.nPandas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-
bdOffset = pd.tseries.offsets.BusinessDay(n = 6)
显示更新的时间戳-
print("\nUpdated Timestamp...\n",timestamp + bdOffset)返回给定BusinessDay对象的增量计数-
print("\nThe count of increments on the BusinessDay object..\n", bdOffset.n)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
bdOffset = pd.tseries.offsets.BusinessDay(n = 6)
#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)
#返回给定BusinessDay对象的增量计数
print("\nThe count of increments on the BusinessDay object..\n", bdOffset.n)输出结果这将产生以下代码-
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