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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.
Follow the steps below to add the pyodbc module to your project.
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.
CData Drivers let you work with CSV files stored locally and stored in cloud storage services like Box, Amazon S3, Google Drive, or SharePoint, right where they are.
Set the URI property to local folder path.
To connect to CSV file(s) within Amazon S3, set the URI property to the URI of the Bucket and Folder where the intended CSV files exist. In addition, at least set these properties:
To connect to CSV file(s) within Box, set the URI property to the URI of the folder that includes the intended CSV file(s). Use the OAuth authentication method to connect to Box.
To connect to CSV file(s) within Dropbox, set the URI proprerty to the URI of the folder that includes the intended CSV file(s). Use the OAuth authentication method to connect to Dropbox. Either User Account or Service Account can be used to authenticate.
To connect to CSV file(s) within SharePoint with SOAP Schema, set the URI proprerty to the URI of the document library that includes the intended CSV file. Set User, Password, and StorageBaseURL.
To connect to CSV file(s) within SharePoint with REST Schema, set the URI proprerty to the URI of the document library that includes the intended CSV file. StorageBaseURL is optional. If not set, the driver will use the root drive. OAuth is used to authenticate.
To connect to CSV file(s) within Google Drive, set the URI property to the URI of the folder that includes the intended CSV file(s). Use the OAuth authentication method to connect and set InitiateOAuth to GETANDREFRESH.
Below is the syntax for a DSN:
[CData CSV Source] Driver = CData ODBC Driver for CSV Description = My Description URI = /PATH/TO/MyCSVFilesFolder
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};URI = /PATH/TO/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 [email protected].
Download a free trial of the CSV ODBC Driver to get started:
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👁 CSV/TSV Files IconThe 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.