Create Power BI reports in Jupyter Notebooks

Exploring the Synergy Between Power BI and Jupyter Notebooks

In today’s data-driven world, where information flows incessantly from every corner, extracting meaningful insights and making informed decisions has become paramount.

Recognizing the significance of seamless data visualization and analysis, Power BI has taken a leap forward with its latest update. This update introduces an exciting integration between Power BI and Jupyter Notebooks, allowing users to create PBI reports within their existing workflow.

In this article, we’ll explore the new functionality of the powerbiclient package, how it integrates with Jupyter, and the challenges to productionize the outputs.

Setting up

First, we have to install the package and configure our environment.

This should be as simple as:

pip install powerbiclient

#For Juyter Lab
pip install powerbiclient
jupyter labextension install @jupyter-widgets/jupyterlab-manager

In my experience, it wasn’t really that simple. Everything seemed to work until I tried to generate the report, then I kept getting errors such as:

Error displaying widget: model not found