macrobond 数据库
以下内容为学院购买的Macrobond 数据库,需要在图书馆电脑操作,可以在Excel插件中下载数据,我已安装
Remark: 通过Python API 下载数据,我测试的时候(2022/05)没有权限
- The Macrobond API for Python; pakage:macrobond-api-constants 1.0.2
case: Visualising Macrobond data as maps using Python
![](https://img2022.cnblogs.com/blog/2355125/202205/2355125-20220520211107616-1303006175.png)
离线安装 mhammond py; 可以参考 安装win32com
双击:
![](https://img2022.cnblogs.com/blog/2355125/202205/2355125-20220520203547556-1988652884.png)
经济楼电脑数据:
One case for Analysis:
![](https://img2022.cnblogs.com/blog/2355125/202205/2355125-20220521164620657-1807734538.png)
美国的数据,Gold为例,季度数据:
![](https://img2022.cnblogs.com/blog/2355125/202205/2355125-20220521165818883-918615630.png)
找数据说明书
A case for Searching(Python):
![](https://img2022.cnblogs.com/blog/2355125/202205/2355125-20220521170846632-1492849679.png)
import win32com.client
c = win32com.client.Dispatch("Macrobond.Connection")
d = c.Database
query = d.CreateSearchQuery()
query.AddAttributeValueFilter("Region", [ "ar", "au", "at", "be", "br", "ca", "cn", "cl", "cz", "dk", "co", "ee", "eueu27", "eueu", "eu", "eueu28", "eu19", "eu18", "fi", "fr", "de", "gr", "hk", "hu", "id", "in", "ie", "il", "jp", "it", "lv", "lt", "lu", "my", "mx", "nl", "nz", "no", "pe", "ph", "pl", "pt", "ru", "sg", "sk", "si", "za", "kr", "es", "se", "ch", "tw", "th", "tr", "gb", "us", "world", "vn", "eg", "sa" ])
query.AddAttributeValueFilter("Source", "src_aisi")
运行官方文档的demo:FetchSeries
会报错, 因为需要Data+ and Legacy license
![](https://img2022.cnblogs.com/blog/2355125/202205/2355125-20220521171154304-506601443.png)
换一种方式: Excel; 如果没有加载宏可以参考点击此处; Using Macrobond data in Excel
如何确定数据名称的含义,可以参考 Data names & conventions
![](https://img2022.cnblogs.com/blog/2355125/202205/2355125-20220521174247267-2001597969.png)
下一步的操作:
![](https://img2022.cnblogs.com/blog/2355125/202205/2355125-20220521174601825-564111559.png)
![](https://img2022.cnblogs.com/blog/2355125/202205/2355125-20220521174945658-257959224.png)
数据的种类
现在我们可以通过Excel找数据,那么数据有哪些种类?分别截图几个国家:
- Europe
![](https://img2022.cnblogs.com/blog/2355125/202205/2355125-20220521175909258-1978488778.png)
- Americas
![](https://img2022.cnblogs.com/blog/2355125/202205/2355125-20220521180131318-179105400.png)
- France
![](https://img2022.cnblogs.com/blog/2355125/202205/2355125-20220521180026807-802038523.png)
- China
![](https://img2022.cnblogs.com/blog/2355125/202205/2355125-20220521175747002-387222955.png)
- Canada , 日本数据种类同Canada
![](https://img2022.cnblogs.com/blog/2355125/202205/2355125-20220521180259611-1013641558.png)
- Australia
![](https://img2022.cnblogs.com/blog/2355125/202205/2355125-20220521175511295-704689971.png)