数据结构
网络
关系数据库管理系统 (RDBMS)
操作系统
Java
MS Excel
iOS
HTML
CSS
Android
Python
C语言编程
C++
C#
MongoDB
MySQL
Javascript
PHP
物理学
化学
生物学
数学
英语
经济学
心理学
社会学
服装设计
法学Python Pandas - 将给定的BusinessDay Offset对象频率作为字符串返回
要将给定的BusinessDay Offset对象的应用频率作为字符串返回，请在Pandas中使用BusinessDay.freqstr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('2021-1-1 01:55:02.000045')创建BusinessDay Offset。BusinessDay是DateOffset的子类：
bdOffset = pd.tseries.offsets.BusinessDay(offset = datetime.timedelta(days = 7, hours = 7, minutes = 7))
显示更新后的时间戳：
print("\nUpdated Timestamp...\n",timestamp + bdOffset)将应用于给定BusinessDay对象的频率作为字符串返回：
print("\nFrequency on the given BusinessDay Offset...\n",bdOffset.freqstr)示例
以下是代码：
import datetime
import pandas as pd
# Set the timestamp object in Pandas
timestamp = pd.Timestamp('2021-1-1 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(offset = datetime.timedelta(days = 7, hours = 7, minutes = 7))
# Display the BusinessDay Offset
print("BusinessDay 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)输出
这将产生以下代码：
Timestamp... 2021-01-01 01:55:02.000045 BusinessDay Offset... <BusinessDay: offset=datetime.timedelta(days=7, seconds=25620)> Updated Timestamp... 2021-01-11 09:02:02.000045 Frequency on the given BusinessDay Offset... B+7D7H7Min
更新于：2021年10月21日
67 次浏览
广告