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Learn More →Using the CData ODBC Driver for Power BI XMLA in PyCharm
Connect to Power BI XMLA as an ODBC data source in PyCharm using the CData ODBC Driver for Power BI XMLA.
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 Power BI XMLA 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 Power BI XMLA as well as PyCharm.
Add Pyodbc to the Project
Follow the steps below to add the pyodbc module to your project.
- Click File -> Settings to open the project settings window.
- Click Project Interpreter from the Project: YourProjectName menu.
- To add pyodbc, click the + button and enter pyodbc.
- Click Install Package to install pyodbc.

Connect to Power BI XMLA
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, set the Url property to a valid PowerBIXMLA workspace. For instance, powerbi://api.powerbi.com/v1.0/myorg/CData.
Below is the syntax for a DSN:
[CData PowerBIXMLA Source]
Driver = CData ODBC Driver for Power BI XMLA
Description = My Description
URL = powerbi://api.powerbi.com/v1.0/myorg/CData
Execute SQL to Power BI XMLA
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 PowerBIXMLA};URL = powerbi://api.powerbi.com/v1.0/myorg/CData;')
cursor = cnxn.cursor()
cursor.execute("SELECT Country, Education FROM Customer WHERE Country = 'Australia'")
rows = cursor.fetchall()
for row in rows:
print(row.Country, row.Education)
After connecting to Power BI XMLA in PyCharm using the CData ODBC Driver, you will be able to build Python apps with access to Power BI XMLA 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.