examples/python/minimal/README.md
Generates a 3D colored cube and demonstrates how to log a point cloud.
<picture> <source media="(max-width: 480px)" srcset="https://static.rerun.io/minimal/0e47ac513ab25d56cf2b493128097d499a07e5e8/480w.png"> <source media="(max-width: 768px)" srcset="https://static.rerun.io/minimal/0e47ac513ab25d56cf2b493128097d499a07e5e8/768w.png"> <source media="(max-width: 1024px)" srcset="https://static.rerun.io/minimal/0e47ac513ab25d56cf2b493128097d499a07e5e8/1024w.png"> <source media="(max-width: 1200px)" srcset="https://static.rerun.io/minimal/0e47ac513ab25d56cf2b493128097d499a07e5e8/1200w.png"> </picture>Straightforward example from the Quick Start guide to generate a 3D colored cube and demonstrate how to log a point cloud.
The visualizations in this example were created with the following Rerun code:
It logs 3D points, each associated with a specific color, forming a grid pattern using Points3D archetype.
import rerun as rr
import numpy as np
rr.init("rerun_example_my_data", spawn=True)
SIZE = 10
pos_grid = np.meshgrid(*[np.linspace(-10, 10, SIZE)] * 3)
positions = np.vstack([d.reshape(-1) for d in pos_grid]).T
col_grid = np.meshgrid(*[np.linspace(0, 255, SIZE)] * 3)
colors = np.vstack([c.reshape(-1) for c in col_grid]).astype(np.uint8).T
rr.log("my_points", rr.Points3D(positions, colors=colors, radii=0.5))
To run this example, make sure you have the Rerun repository checked out and the latest SDK installed:
pip install --upgrade rerun-sdk # install the latest Rerun SDK
git clone [email protected]:rerun-io/rerun.git # Clone the repository
cd rerun
git checkout latest # Check out the commit matching the latest SDK release
Install the necessary libraries specified in the requirements file:
pip install -e examples/python/minimal
To experiment with the provided example, simply execute the main Python script:
python -m minimal # run the example