Generates a 3D colored cube and demonstrates how to log a point cloud. 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. ## Used Rerun types [`Points3D`](https://www.rerun.io/docs/reference/types/archetypes/points3d) ## Logging and visualizing with Rerun 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`](https://www.rerun.io/docs/reference/types/archetypes/points3d) archetype. ```python 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)) ``` ## Run the code To run this example, make sure you have the Rerun repository checked out and the latest SDK installed: ```bash pip install --upgrade rerun-sdk # install the latest Rerun SDK git clone git@github.com: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: ```bash pip install -e examples/python/minimal ``` To experiment with the provided example, simply execute the main Python script: ```bash python -m minimal # run the example ```