SWaN_accel package
This is an algorithm to distinguish between sleep-wear, wake-wear, and non-wear in accelerometer dataset.
To install the package, use the following pip command:
pip install swan_accel
To import the two relevant methods from the package, type:
from SWaN_accel import swan_first_pass, swan_second_pass
To run swan first pass algorithm:
swan_first_pass.main(df=dataframe object, file_path=path for output file,sampling_rate=sampling rate of data)
To run swan second pass algorithm
swan_second_pass.main(day_folder=path of the date folder, debug="No")
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Release files for SWaN-accel 1.18
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| SWaN_accel-1.18.tar.gz | 36.7 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| SWaN_accel-1.18-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 84.7 kB
Release files / SWaN_accel-1.18.tar.gz
| Download URL | SWaN_accel-1.18.tar.gz |
|---|---|
| Size | 36.7 kB |
| Tags | Source |
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Release files / SWaN_accel-1.18-py3-none-any.whl
| Download URL | SWaN_accel-1.18-py3-none-any.whl |
|---|---|
| Size | 48.0 kB |
| Tags | Python 3 |
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