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PyCharm でCData ODBC Driver for Open Exchange Rates を使ってみた

Open Exchange Rates にODBC データソースとしてPyCharm から連携。

CData ODBC Drivers は、ODBC をサポートするあらゆる環境から利用可能です。 本記事では、PyCharm からのCData ODBC Driver for Open Exchange Rates の利用を説明します。ODBC Deriver をデータソースとして設定する方法、データソースをクエリするPyCharm のベーシックな方法を含みます。

To begin, this tutorial will assume that you have already installed the CData ODBC Driver for Open Exchange Rates as well as PyCharm.

Pyodbc をプロジェクトに追加

Follow the steps below to add the pyodbc module to your project.

  1. Click File -> Settings to open the project settings window.
  2. Click Project Interpreter from the Project: YourProjectName menu.
  3. To add pyodbc, click the + button and enter pyodbc.
  4. Click Install Package to install pyodbc.

Open Exchange Rates への接続

You can now connect with an ODBC connection string or a DSN. See the Getting Started section in the CData driver documentation for a guide to creating a DSN on your OS.

The Open Exchange Rates API supports basic authentication with an App Id. After you register, your App Id is displayed in your account dashboard. Set this to the AppId connection property.

Below is the syntax for a DSN:

[CData OpenExchangeRates Source] Driver = CData ODBC Driver for Open Exchange Rates Description = My Description AppId = abc1234

Open Exchange Rates へのクエリの実行

Instantiate a Cursor and use the execute method of the Cursor class to execute any SQL statement.

import pyodbc cnxn = pyodbc.connect('DRIVER={CData ODBC Driver for OpenExchangeRates};AppId = abc1234;') cursor = cnxn.cursor() cursor.execute("SELECT Id, Statistics_ViewCount FROM Projects WHERE Id = 'MyProjectId'") rows = cursor.fetchall() for row in rows: print(row.Id, row.Statistics_ViewCount)

After connecting to Open Exchange Rates in PyCharm using the CData ODBC Driver, you will be able to build Python apps with access to Open Exchange Rates data as if it were a standard database. If you have any questions, comments, or feedback regarding this tutorial, please contact us at support@cdata.com.

 
 
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