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        "author": "Julian Wagensch\u00fctz",
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        "description": "# CANdas - The dataframe for CAN* bus data\n\n> Manage and analyze CAN bus data elegantly and efficiently, locally or in the cloud.\n\n![CANdas Jupyter Lab example](http://img.lionsracing.de/1O1PIJXVSJ4ZCLSM.png)\n\n*[Controller Area Network](https://en.wikipedia.org/wiki/CAN_bus)\n\n## Features\n\n- Common format for dealing with CAN data\n- Enrich plots of the logging data with data from the dbc files automatically\n- Versatile and extensible plotting functions for all kinds of signals\n- Easily export CAN data to a pandas dataframe\n- Data can be pushed to a SQL database\n- Download logging file from SQL database instead of having all of them on disk\n- Method chaining philosophy to create powerful and minimalistic pipelines\n- Feature demo can be found [here](https://gist.github.com/JulianWgs/2fa20fabfa87d709a0b6c394eba9266c)\n\n## Documentation\n\nExtensive documentation can be found here: https://lionsracing.gitlab.io/candas/index.html\n\n## Installation\n\n- For the database features you need a SQL-Driver. Please install it beforehand.\n\n```bash\npip install candas\n```\n\n## Contributing\n\n1. Fork the repository.\n\n2. Install prerequisites.\n\n   ```\n   pip install -r requirements.txt\n   ```\n\n3. Implement the new feature or bug fix.\n\n4. Implement test case(s) to ensure that future changes do not break legacy.\n\n5. Run the tests.\n\n6. Create a pull request.\n\n",
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