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PyCharm でCData ODBC Driver for Quandl を使ってみた

Quandl 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 Quandl 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 Quandl 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.

Quandl 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.

Quandl uses an API key for authentication. See the help documentation for a guide to obtaining the APIKey property.

Additionally, set the DatabaseCode connection property to the code identifying the Database whose Datasets you want to query with SQL. You can search the available Databases by querying the Databases view.

Below is the syntax for a DSN:

[CData Quandl Source] Driver = CData ODBC Driver for Quandl Description = My Description APIKey = abc123 DatabaseCode = WIKI

Quandl 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 Quandl};APIKey = abc123;DatabaseCode = WIKI;') cursor = cnxn.cursor() cursor.execute("SELECT Date, Volume FROM AAPL WHERE Collapse = 'Daily'") rows = cursor.fetchall() for row in rows: print(row.Date, row.Volume)

After connecting to Quandl in PyCharm using the CData ODBC Driver, you will be able to build Python apps with access to Quandl 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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