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Using the CData ODBC Driver for DataRobot in PyCharm

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

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 DataRobot 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 DataRobot 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 DataRobot

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.

To connect to DataRobot, the following connection properties are required: User, Password, and PredictionInstance. DataRobotKey may also be required depending on your type of DataRobot predictions instance. If using the Predictions API, DataFile is required. The CSV DataFile should include a header row as the first row of the datafile. APIKey is not required, but can be supplied. If not supplied, the driver will handle obtaining an APIKey.

User, DataRobotKey, and APIKey are the credentials for the DataRobot account.

ProjectID, DataFile, and ModelId are the parameters for the project, dataset, and model type.

Below is the syntax for a DSN:

[CData DataRobot Source] Driver = CData ODBC Driver for DataRobot Description = My Description PredictionInstance = DataFile = PATH\TO\input_file.csv DataRobotKey = 123-abc-456-def User = username Password = password

Execute SQL to DataRobot

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 DataRobot};PredictionInstance =;DataFile = PATH\TO\input_file.csv;DataRobotKey = 123-abc-456-def;User = username;Password = password;') cursor = cnxn.cursor() cursor.execute("SELECT Id, Prediction1Value FROM Predictions WHERE Id = '1'") rows = cursor.fetchall() for row in rows: print(row.Id, row.Prediction1Value)

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