This is best Fabric, Power BI, SQL and AI community event. How do we know? The last event sold out! Save €200 with code FABCMTY200.
Register nowA new Data Days event is coming soon! This time we’re going bigger than ever. Fabric, Power BI, SQL, AI and more. Don't miss out.
When I try to transfer a query that uses a Python script from PBI desktop to a dataflow I get a "path is invalid" error.
Solved! Go to Solution.
Hi @thomas9921 ,
As far as I know, currently we can only run python script in power bi desktop because it needs packages on-premiss, dataflow is created in power bi service which is a cloud service that could not support Python / R script as a data source. We can only use python visuals in power bi service.
Refer: Python visualizations in Power BI Service
Best Regards,
Yingjie Li
If this post helps then please consider Accept it as the solution to help the other members find it more quickly.
Hi @thomas9921 ,
As far as I know, currently we can only run python script in power bi desktop because it needs packages on-premiss, dataflow is created in power bi service which is a cloud service that could not support Python / R script as a data source. We can only use python visuals in power bi service.
Refer: Python visualizations in Power BI Service
Best Regards,
Yingjie Li
If this post helps then please consider Accept it as the solution to help the other members find it more quickly.
hi @thomas9921 ,
I am not a python expert but accorsing to this, you have to use a full path and not a relative path.
https://docs.microsoft.com/en-us/power-bi/connect-data/desktop-python-scripts
Proud to be a Datanaut!
Private message me for consulting or training needs.
Check out the May 2026 Power BI update to learn about new features.
Sign up to receive a private message when registration opens and key events begin.
If you have recently started exploring Fabric, we'd love to hear how it's going. Your feedback can help with product improvements.
| User | Count |
|---|---|
| 10 | |
| 9 | |
| 9 | |
| 9 | |
| 7 |
| User | Count |
|---|---|
| 29 | |
| 22 | |
| 21 | |
| 20 | |
| 19 |