Wheeltennis: a wheelchair tennis data processing package
========================================================
Essential data analysis scripts to analyse wheelchair tennis field data which means:
* Standardised field testing
* Wheeling match performance
* Visualisation of IMUs
* More in future (?)
Prerequisites
-------------
You need a valid version of Python 3.7
Installing
----------
You can install this package with pip:
pip install wheeltennis
Examples
--------
Jupyter notebook examples can be found in the 'IMU Field Examples folder'
Reporting errors
----------------
If you find an error/mistake or want to contribute, please contact me or submit an issue through this page.
Citing
------
If you want to refer to this package please let me know
Raw data
{
"_id": null,
"home_page": "https://gitlab.com/Thomas2016/wheeltennis",
"name": "wheeltennis",
"maintainer": "",
"docs_url": null,
"requires_python": "",
"maintainer_email": "",
"keywords": "wheelchair tennis,sensor,IMUs",
"author": "Thomas Rietveld",
"author_email": "t.rietveld@lboro.ac.uk",
"download_url": "https://files.pythonhosted.org/packages/c7/41/9a333536a7c45c4146643eee6a498a6093085882c85abfd544f71fe65a72/wheeltennis-1.1.6.tar.gz",
"platform": null,
"description": "Wheeltennis: a wheelchair tennis data processing package\r\n========================================================\r\n\r\nEssential data analysis scripts to analyse wheelchair tennis field data which means:\r\n\r\n* Standardised field testing\r\n* Wheeling match performance\r\n* Visualisation of IMUs\r\n* More in future (?)\r\n\r\nPrerequisites\r\n-------------\r\nYou need a valid version of Python 3.7\r\n\r\nInstalling\r\n----------\r\nYou can install this package with pip:\r\n\r\n pip install wheeltennis\r\n\r\nExamples\r\n--------\r\nJupyter notebook examples can be found in the 'IMU Field Examples folder'\r\n\r\nReporting errors\r\n----------------\r\nIf you find an error/mistake or want to contribute, please contact me or submit an issue through this page.\r\n\r\nCiting\r\n------\r\nIf you want to refer to this package please let me know\r\n",
"bugtrack_url": null,
"license": "GNU GPLv3",
"summary": "Basic scripts for wheelchair tennis analysis",
"version": "1.1.6",
"split_keywords": [
"wheelchair tennis",
"sensor",
"imus"
],
"urls": [
{
"comment_text": "",
"digests": {
"blake2b_256": "abc7aa05839d167f3da561691e061a54cb94f916cacb105a988a8518e5c8f021",
"md5": "74da8ee165d4e4bcbef42b62b46fecc8",
"sha256": "f23e0bb577d6c7d8465854982f192d0372fb9767d75721014b59f829ad045365"
},
"downloads": -1,
"filename": "wheeltennis-1.1.6-py3-none-any.whl",
"has_sig": false,
"md5_digest": "74da8ee165d4e4bcbef42b62b46fecc8",
"packagetype": "bdist_wheel",
"python_version": "py3",
"requires_python": null,
"size": 12020,
"upload_time": "2023-04-27T14:26:07",
"upload_time_iso_8601": "2023-04-27T14:26:07.107461Z",
"url": "https://files.pythonhosted.org/packages/ab/c7/aa05839d167f3da561691e061a54cb94f916cacb105a988a8518e5c8f021/wheeltennis-1.1.6-py3-none-any.whl",
"yanked": false,
"yanked_reason": null
},
{
"comment_text": "",
"digests": {
"blake2b_256": "c7419a333536a7c45c4146643eee6a498a6093085882c85abfd544f71fe65a72",
"md5": "74cf5d6710e35f7e359b6cebb6295a11",
"sha256": "2edd38757faf958423560d606c07087f4327156b4af007c7837e07d3b419ca19"
},
"downloads": -1,
"filename": "wheeltennis-1.1.6.tar.gz",
"has_sig": false,
"md5_digest": "74cf5d6710e35f7e359b6cebb6295a11",
"packagetype": "sdist",
"python_version": "source",
"requires_python": null,
"size": 11445,
"upload_time": "2023-04-27T14:26:08",
"upload_time_iso_8601": "2023-04-27T14:26:08.859210Z",
"url": "https://files.pythonhosted.org/packages/c7/41/9a333536a7c45c4146643eee6a498a6093085882c85abfd544f71fe65a72/wheeltennis-1.1.6.tar.gz",
"yanked": false,
"yanked_reason": null
}
],
"upload_time": "2023-04-27 14:26:08",
"github": false,
"gitlab": true,
"bitbucket": false,
"gitlab_user": "Thomas2016",
"gitlab_project": "wheeltennis",
"lcname": "wheeltennis"
}
JSON