Blender 4.x + Python: Turn Any CSV into a Cinematic 3D Scatter Plot

Blender 4 + Python can be a full 3D plotting engine.

In this video I show how a single script reads a CSV file, builds a 3D grid with axes, tick marks and labels, and renders a cinematic 3D scatter plot using Geometry Nodes, materials and depth of field. We compare it with a traditional Matplotlib plot using the exact same data.

You can use this as a template for:
- scientific visualization
- data science / analytics presentations
- research talks and thesis figures
- thumbnails and B-roll for your own videos

🔗 Download the script, Sample dataset and Blender file:
https://drive.google.com/drive/folders/13vahvkK7d5nmAkzVy9TgXtLxrkF8qcOQ?usp=sharing

What you’ll learn:

- How to load 3D / 4D data from a CSV directly inside Blender with Python
- How to create a point cloud mesh (one vertex per row)
- How to instance spheres with Geometry Nodes for fast 3D scatter plots
- How to build a 3D “plot cube” with grids, axes, ticks and numeric labels
- How to map a 4th dimension (value) to color using a ColorRamp
- How to style everything with emissive / Principled materials and Cycles
- How to add depth of field and camera moves for cinematic renders

If you use this template in your own project, tag me or let me know in the comments – I’d love to see what you build.

#blender #python #datavisualization #scientificvisualization #geometrynodes

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Chapters
00:39 How to Run Python scripts in Blender
01:43 Running the script and creating the 3D plot
03:33 What is a CSV file
04:07 Compared with traditional plots
05:42 Introducing the pipeline
07:42 Block 1 - Configuration
09:13 Block 2 - Importing CSV
12:15 Block 3 - Creating the geometry
19:48 Block 4 - The 3D Frame
25:53 Block 5 - Style and 4D color
31:34 Camera and Depth of field
33:40 What you actually need to edit
34:20 Overview
36:26 Results and Outro

Видео Blender 4.x + Python: Turn Any CSV into a Cinematic 3D Scatter Plot канала Depict Labs