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The CSV ODBC Driver is a powerful tool that allows you to connect with live flat-file delimited data (CSV/TSV files), directly from any applications that support ODBC connectivity.

Access flat-file data like you would any standard database - read, write, and update etc. through a standard ODBC Driver interface.

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Using the CData ODBC Driver for CSV in PyCharm


Connect to CSV as an ODBC data source in PyCharm using the CData ODBC Driver for CSV.

The CData ODBC Drivers can be used in any environment that supports loading an ODBC Driver. In this tutorial we will explore using the CData ODBC Driver for CSV from within PyCharm. Included are steps for adding the CData ODBC Driver as a data source, as well as basic PyCharm code to query the data source and display results.

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

Add Pyodbc to the Project

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.

Connect to CSV

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.

Set UseRowNumbers to true if you are deleting or updating in CSV. This will create a new column with the name RowNumber which will be used as key for that table.

Below is the syntax for a DSN:

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

Execute SQL to CSV

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.