Create an instance of Power BI report and load the report to the output cell:.Set the workspace ID and report ID you’d like to embed:.# Import the DeviceCodeLoginAuthentication class to authenticate against Power BIįrom thentication import DeviceCodeLoginAuthenticationĭevice_auth = DeviceCodeLoginAuthentication() Authenticate against Power BI using Azure AD:.Import Report class and models from the package:.Jupyter labextension install your notebook and add the following: Or if you use JupyterLab: pip install powerbiclient Install the package using pip: pip install powerbiclient Watch our latest on-demand session – Embed actionable analytics everywhere with Power BI Embedded, for a Power BI in Jupyter notebook demo!įor a quick peek into how to use the package in your application, check out the example below. You can install the Power BI Client for Jupyter from PyPI and find the open-sourced Python package and associate TypeScript widget on GitHub. You can also filter the report for quick analysis or use bookmarks to apply a saved view. You’ll be able to export data from visuals in a Power BI report to the Jupyter notebook for in-depth data exploration. The new package lets you embed Power BI reports in Jupyter notebooks easily. Get your Power BI analytics in a Jupyter notebook with the new powerbiclient Python package. You can now tell compelling data stories with Power BI in Jupyter notebooks. We’re excited to announce the release of Power BI in Jupyter notebooks.
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