Skip to main content

A pacakge to classify sleep-wear, wake-wear, and non-wear in accelerometer dataset.

Project description

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)

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

SWaN_accel-1.7.tar.gz (32.9 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

SWaN_accel-1.7-py3-none-any.whl (35.4 kB view details)

Uploaded Python 3

File details

Details for the file SWaN_accel-1.7.tar.gz.

File metadata

  • Download URL: SWaN_accel-1.7.tar.gz
  • Upload date:
  • Size: 32.9 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.1 importlib_metadata/4.0.1 pkginfo/1.5.0.1 requests/2.25.1 requests-toolbelt/0.8.0 tqdm/4.56.0 CPython/3.8.1

File hashes

Hashes for SWaN_accel-1.7.tar.gz
Algorithm Hash digest
SHA256 1bc0f3694b8a282741b5f3426fa848dca900f51b553173152b0dea28369ae065
MD5 19084998ebaad1c26550bb4bd0024410
BLAKE2b-256 22783c9b4ac2a848636964090bf3ff65e8bd42ccc850c2c889c33f51673b5e2f

See more details on using hashes here.

File details

Details for the file SWaN_accel-1.7-py3-none-any.whl.

File metadata

  • Download URL: SWaN_accel-1.7-py3-none-any.whl
  • Upload date:
  • Size: 35.4 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.1 importlib_metadata/4.0.1 pkginfo/1.5.0.1 requests/2.25.1 requests-toolbelt/0.8.0 tqdm/4.56.0 CPython/3.8.1

File hashes

Hashes for SWaN_accel-1.7-py3-none-any.whl
Algorithm Hash digest
SHA256 720cf3fc72e57459f16cbcbc59fcff1233d3a1bf2a3809b4efdfece86485d756
MD5 3c5e1a9a5a0217413f4cab3f369c770e
BLAKE2b-256 0035b182caaaab3286632c16a0c34c6b2abf301b27f2ea7633e8feb1d2b6659f

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page