README

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Display air traffic data kindly provided by INVOLI.

<picture> <source media="(max-width: 480px)" srcset="https://static.rerun.io/air_traffic_data/4a68b46a404c4f9e3c082f57a8a8ed4bf5b9b236/480w.png"> <source media="(max-width: 768px)" srcset="https://static.rerun.io/air_traffic_data/4a68b46a404c4f9e3c082f57a8a8ed4bf5b9b236/768w.png"> <source media="(max-width: 1024px)" srcset="https://static.rerun.io/air_traffic_data/4a68b46a404c4f9e3c082f57a8a8ed4bf5b9b236/1024w.png"> <source media="(max-width: 1200px)" srcset="https://static.rerun.io/air_traffic_data/4a68b46a404c4f9e3c082f57a8a8ed4bf5b9b236/1200w.png"> </picture>

This example demonstrates multiple aspects of the Rerun viewer:

• Use of the map view.
• Use of pyproj to transform geospatial data from one coordinate system to another.
• Use GeoPandas to load geospatial data into a 3D view.
• Use [Polars]https://pola.rs) to batch data to be sent via rr.send_columns() (use --batch).

Run the code

To run this example, make sure you have the required Python version, the Rerun repository checked out and the latest SDK installed:

Install the necessary libraries specified in the requirements file:

To experiment with the provided example, simply execute the main Python script:

If you wish to customize it, explore additional features, or save it use the CLI with the --help option for guidance: