python-visuals
Python visual creation and matplotlib/seaborn patterns for PBIR reports. Automatically invoke when the user mentions "Python visual", "matplotlib in Power BI", "seaborn in Power BI", "pythonVisual", or asks to "create a Python visual", "add a matplotlib chart", "write a Python visual script".
npx skills add data-goblin/power-bi-agentic-development --skill python-visuals --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Python Visuals in Power BI (PBIR) > **Use `pbir` for every report mutation.** Read PBIR metadata only for diagnosis. If `pbir` is > unavailable or lacks an operation, stop and report the gap; never edit report JSON directly. Python visuals execute matplotlib/seaborn scripts to render static PNG images on the Power BI canvas. **Prefer seaborn** over raw matplotlib for cleaner syntax and better defaults -- it handles most chart types with less code. ## Visual Identity - **visualType:** `pythonVisual` - **Data role:** `Values` (columns and measures, multiple allowed) - **Data variable:** `dataset` (pandas DataFrame, auto-injected) - **Row limit:** 150,000 rows - **Output:** Static PNG at 72 DPI -- no interactivity ## Workflow: Creating a Python Visual ### Step 1: Add the Visual ```bash pbir add visual pythonVisual "Report.Report/Page.Page" --name PythonChart \ --data "Values:Sales.Date" --data "Values:Sales.Revenue" ``` ### Step 2: Write the Script ```python import matplotlib.pyplot as plt fig, ax = plt.subplots(figsize=(8, 4)) ax.bar(dataset["Date"], dataset["Sales"], color="#5B8DBE") ax.spines["top"].set_visible(False) ax.spines["right"].set_visible(False) plt.tight_layout() plt.s
- Visual Identity
- Workflow: Creating a Python Visual
- Step 1: Add the Visual
- Step 2: Write the Script
- Step 2b: Review
- Step 3: Inject the Script
- Step 4: Validate
- PBIR Format
- Supported Libraries
- Power BI Service (Python 3.11)
- Desktop
- Best Practices
- Limitations
- Script Structure Template
pbir add visual pythonVisual "Report.Report/Page.Page" --name PythonChart \ pbir visuals python "Report.Report/Page.Page/PythonChart.Visual" \ pbir visuals bind "Report.Report/Page.Page/PythonChart.Visual" --show pbir validate "Report.Report" --all
What does the python-visuals skill do?
Python visual creation and matplotlib/seaborn patterns for PBIR reports. Automatically invoke when the user mentions "Python visual", "matplotlib in Power BI", "seaborn in Power BI", "pythonVisual", or asks to "create a Python visual", "add a matplotlib chart", "write a Python visual script".
How do I install it?
Run `npx skills add data-goblin/power-bi-agentic-development --skill python-visuals --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From data-goblin/power-bi-agentic-development, a repository with 833 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.