Ready to get started?

Learn more about the CData ODBC Driver for CSV or download a free trial:

Download Now

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

CSV 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 CSV 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 CSV 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.

CSV 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 DataSource property must be set to a valid local folder name. Also, specify the IncludeFiles property to work with text files having extensions that differ from .csv, .tab, or .txt. Specify multiple file extensions in a comma-separated list. You can also set Extended Properties compatible with the Microsoft Jet OLE DB 4.0 driver. Alternatively, you can provide the format of text files in a Schema.ini file.

Below is the syntax for a DSN:

[CData CSV Source] Driver = CData ODBC Driver for CSV Description = My Description DataSource = MyCSVFilesFolder

CSV 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 CSV};DataSource = MyCSVFilesFolder;') cursor = cnxn.cursor() cursor.execute("SELECT City, TotalDue FROM Customer WHERE FirstName = 'Bob'") rows = cursor.fetchall() for row in rows: print(row.City, row.TotalDue)

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

 
 
ダウンロード