ago函数的用法

In Expression Builder, the AGO function has the following template:

Ago(<<Measure>>, <<Level>>, <<Number of Periods>>)

<<Measure>> represents the logical measure column from which you want to derive. In this example, you would select the measure "Dollars" from your existing logical fact tables.

<<Level>> is the optional time series grain you want to use. In this example, you would select "Quarter" from your time dimension.

<<Number of Periods>> is the size of the offset, measured in the grain you provided in the <<Level>> argument. For example, if the <<Level>> is Quarter and the <<Number of Periods>> is 2, the function displays dollars from two quarters ago.

Using this function template, you can create an expression for a One Quarter Ago measure, as follows:

Ago("Sales"."Base Measures"."Dollars" , "Sales"."Time MonthDim"."Quarter" , 1)

The <<Level>> parameter is optional. If you do not want to specify a time series grain in the AGO function, the function uses the query grain as the time series grain.

For example, you could define Dollars_Ago as Ago(Dollars, 1). Then, you could perform the following logical query:

SELECT Month, Dollars, Dollars_Ago

The result is the same as if you defined Dollars_Ago as Ago(Dollars, Month, 1). Alternatively, you could perform the following logical query:

SELECT Quarter, Dollars, Dollars_Ago

The result is the same as if you defined Dollars_Ago as Ago(Dollars, Quarter, 1).

Python 中的 `datetime` 模块提供了一组用于处理日期和时间的功能。它可以帮助开发者轻松地创建、操作并格式化日期及时间数据。 ### 主要类 #### datetime.datetime 类 这是最常用的类之一,代表了日期和时间信息。 - **获取当前时间和日期** ```python from datetime import datetime now = datetime.now() print(now) ``` - **指定年月日等生成特定的时间对象** ```python specific_date_time = datetime(2023, 10, 5, 8, 30, 45) # 年,月,日,小时,分钟,秒 ``` - **字符串转为 date/time 对象 (解析)** 使用 strptime 方法将给定格式化的字符串转换成 datetime 对象。 ```python date_string = "2023-06" parsed_date = datetime.strptime(date_string, "%Y-%m-%d") ``` - **格式化输出** 可以使用 strftime 方法来自定义如何显示 datetime 对象. ```python formatted_date = now.strftime("%A %B %d, %Y") # 输出像 Friday October 06, 2023 这样的形式 ``` #### datetime.timedelta 类 这个类表示两个日期之间的差异,并可用于执行简单的加减运算. 例如增加一天: ```python tomorrow = now + timedelta(days=1) ``` 减少两天: ```python two_days_ago = now - timedelta(days=2) ``` ### 相关属性与方法简述: - `.year`, `.month`, `.day`: 获取对应的整数值; - `.hour`, `.minute`, `.second`, etc.: 时间部分的信息; - `.timestamp()`: 返回从纪元开始到此刻经过了多少秒(浮点数); 这就是 Python 的 datetime 函数的一些基础用法介绍啦!
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