Dimension limit for visualisation using python in powerbi

[Joefc]

When creating visualizations in Power BI using Python code, I'm unable to extend the graph horizontally. Even though I’ve already set figsize and used fig.tight_layout(), is there a dimension limit for Python-based visualizations in Power BI?

[Ritaf1983 · Accepted solution]

Hi @Joefc 

Yes, there is a limitation when using Python visualizations in Power BI.

Even if you set a large figsize or use tight_layout(), Power BI renders the Python visual inside a predefined and fixed-size container, and won’t allow it to exceed the allocated visual space on the canvas. That means even if your plot is technically wider, Power BI will cut it or resize it to fit the visual frame you placed on the report.

Suggestions:

• Resize the Python visual frame on your report canvas manually (drag the borders wider). The plot will only be as wide as the container allows.

• Make sure the aspect ratio of your figsize matches the shape of the container.

• For highly customized visuals or wide plots (like heatmaps or timelines), consider:

  • Exporting the plot as an image and displaying it via an image viewer,

  • Or using R visuals (slightly different behavior),

  • Or publishing your plot outside Power BI (e.g., on a server or dashboard tool) and embedding it via iframe or Power BI custom visual.

Unfortunately, Python visuals are sandboxed in Power BI, and that limits full control over rendering and dimensions.

If this post helps, then please consider Accepting it as the solution to help the other members find it more quickly

[Joefc]

Hello @Ritaf1983

Thanks for your reply.

I forgot to mention that I also tried to manually resize the Python visual frame in Power BI. However, the plot remains fixed at a certain dimension and does not expand wider. Additionally, there is a blank space on both sides of the bar chart. I checked the "Padding" option in the visualization section, but it is set to 0. Despite my attempts to adjust the size either through code or manually, the blank space still persists.

I would really appreciate any help you can provide.

Best regards,

Joseph

[V-yubandi-msft]

Hi @Joefc ,

1. Ensure that the figsize in your Python script aligns with the aspect ratio of your Power BI visual container to minimize blank spaces.

2. If problems persist, consider using Power BI's native visuals or R visuals for greater flexibility. Alternatively, you can generate the visual externally using Python, save it as an image, and then import it into Power BI for improved control over dimensions and appearance.

Helpful Reference: 

Create Power BI visuals using Python in Power BI Desktop - Power BI | Microsoft Learn

If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.