chore: import upstream snapshot with attribution
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<!--[metadata]
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title = "Minimal example"
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thumbnail = "https://static.rerun.io/minimal-example/9e694c0689f20323ed0053506a7a099f7391afca/480w.png"
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thumbnail_dimensions = [480, 480]
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tags = ["3D", "API example"]
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-->
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Generates a 3D colored cube and demonstrates how to log a point cloud.
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<picture>
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<source media="(max-width: 480px)" srcset="https://static.rerun.io/minimal/0e47ac513ab25d56cf2b493128097d499a07e5e8/480w.png">
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<source media="(max-width: 768px)" srcset="https://static.rerun.io/minimal/0e47ac513ab25d56cf2b493128097d499a07e5e8/768w.png">
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<source media="(max-width: 1024px)" srcset="https://static.rerun.io/minimal/0e47ac513ab25d56cf2b493128097d499a07e5e8/1024w.png">
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<source media="(max-width: 1200px)" srcset="https://static.rerun.io/minimal/0e47ac513ab25d56cf2b493128097d499a07e5e8/1200w.png">
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<img src="https://static.rerun.io/minimal/0e47ac513ab25d56cf2b493128097d499a07e5e8/full.png" alt="Minimal example screenshot">
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</picture>
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Straightforward example from the [Quick Start guide](https://www.rerun.io/docs/getting-started/data-in/python) to generate a 3D colored cube and demonstrate how to log a point cloud.
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## Used Rerun types
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[`Points3D`](https://www.rerun.io/docs/reference/types/archetypes/points3d)
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## Logging and visualizing with Rerun
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The visualizations in this example were created with the following Rerun code:
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It logs 3D points, each associated with a specific color, forming a grid pattern using [`Points3D`](https://www.rerun.io/docs/reference/types/archetypes/points3d) archetype.
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```python
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import rerun as rr
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import numpy as np
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rr.init("rerun_example_my_data", spawn=True)
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SIZE = 10
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pos_grid = np.meshgrid(*[np.linspace(-10, 10, SIZE)] * 3)
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positions = np.vstack([d.reshape(-1) for d in pos_grid]).T
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col_grid = np.meshgrid(*[np.linspace(0, 255, SIZE)] * 3)
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colors = np.vstack([c.reshape(-1) for c in col_grid]).astype(np.uint8).T
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rr.log("my_points", rr.Points3D(positions, colors=colors, radii=0.5))
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```
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## Run the code
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To run this example, make sure you have the Rerun repository checked out and the latest SDK installed:
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```bash
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pip install --upgrade rerun-sdk # install the latest Rerun SDK
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git clone git@github.com:rerun-io/rerun.git # Clone the repository
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cd rerun
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git checkout latest # Check out the commit matching the latest SDK release
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```
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Install the necessary libraries specified in the requirements file:
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```bash
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pip install -e examples/python/minimal
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```
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To experiment with the provided example, simply execute the main Python script:
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```bash
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python -m minimal # run the example
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```
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