Basic scripts for wheelchair tennis analysis
Project description
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
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file wheeltennis-1.5.0.tar.gz.
File metadata
- Download URL: wheeltennis-1.5.0.tar.gz
- Upload date:
- Size: 14.5 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.2.0 CPython/3.13.5
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
6e57744a66f570ab32d53a1683623e393916a32a60869ff6d81a21c377a1de7c
|
|
| MD5 |
257b79d09b1ffdf2bdeef92e2fd0852b
|
|
| BLAKE2b-256 |
147ff247a136ba50a08483b6f158b6af917c797b3068f553064cfe26fabe8a49
|
File details
Details for the file wheeltennis-1.5.0-py3-none-any.whl.
File metadata
- Download URL: wheeltennis-1.5.0-py3-none-any.whl
- Upload date:
- Size: 15.0 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.2.0 CPython/3.13.5
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
04b5c558ce4d9b4ee183b477ca9f46e40c49d48f362bd101506ed6a1971e76e8
|
|
| MD5 |
398f9aed9b617391718e052285a456c1
|
|
| BLAKE2b-256 |
985080abac0badd4e27d90e41771ef44010a3e73d5c09855aabc4188478176b7
|
