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
- Feedback reports
- 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': examples
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
1 maintainer
Metadata
1 maintainer
Release files for wheeltennis 1.7.2
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| wheeltennis-1.7.2.tar.gz | 22.6 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| wheeltennis-1.7.2-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 45.7 kB
Release files / wheeltennis-1.7.2.tar.gz
| Download URL | wheeltennis-1.7.2.tar.gz |
|---|---|
| Size | 22.6 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/7.0.0 CPython/3.12.14
|
Release files / wheeltennis-1.7.2-py3-none-any.whl
| Download URL | wheeltennis-1.7.2-py3-none-any.whl |
|---|---|
| Size | 23.1 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/7.0.0 CPython/3.12.14
|
