wehub-resource-sync
50 lines
2.4 KiB
Markdown
50 lines
2.4 KiB
Markdown
<!--[metadata]
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title = "Air traffic data"
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tags = ["2D", "3D", "map", "crs"]
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description = "Display aircraft traffic data"
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thumbnail = "https://static.rerun.io/air_traffic_data/348dd2def3a55fd0bf481a35a0765eeacfa20b6f/480w.png"
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thumbnail_dimensions = [480, 480]
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channel = "nightly"
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-->
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Display air traffic data kindly provided by [INVOLI](https://www.involi.com).
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<picture>
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<img src="https://static.rerun.io/air_traffic_data/4a68b46a404c4f9e3c082f57a8a8ed4bf5b9b236/full.png" alt="">
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<source media="(max-width: 480px)" srcset="https://static.rerun.io/air_traffic_data/4a68b46a404c4f9e3c082f57a8a8ed4bf5b9b236/480w.png">
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<source media="(max-width: 768px)" srcset="https://static.rerun.io/air_traffic_data/4a68b46a404c4f9e3c082f57a8a8ed4bf5b9b236/768w.png">
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<source media="(max-width: 1024px)" srcset="https://static.rerun.io/air_traffic_data/4a68b46a404c4f9e3c082f57a8a8ed4bf5b9b236/1024w.png">
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<source media="(max-width: 1200px)" srcset="https://static.rerun.io/air_traffic_data/4a68b46a404c4f9e3c082f57a8a8ed4bf5b9b236/1200w.png">
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</picture>
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This example demonstrates multiple aspects of the Rerun viewer:
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- Use of the [map view](https://rerun.io/docs/reference/types/views/map_view).
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- Use of [pyproj](https://pyproj4.github.io/pyproj/stable/) to transform geospatial data from one coordinate system to another.
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- Use [GeoPandas](https://geopandas.org/en/stable/) to load geospatial data into a 3D view.
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- Use [Polars]https://pola.rs) to batch data to be sent via [`rr.send_columns()`](https://rerun.io/docs/howto/logging-and-ingestion/send-columns) (use `--batch`).
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## Run the code
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To run this example, make sure you have the [required Python version](https://ref.rerun.io/docs/python/main/common#supported-python-versions), 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/air_traffic_data
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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 air_traffic_data
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```
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If you wish to customize it, explore additional features, or save it use the CLI with the `--help` option for guidance:
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```bash
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python -m air_traffic_data --help
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```
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