Skip to main content

Time Series by Anharmonic Oscillators is a Python library designed to analize time series by modelling them as anharmonic oscillators.

Project description

We are working on a Github page with more info at: https://tsaopy.github.io/.

We have a Zenodo DOI for referencing the repository

DOI

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

tsaopy-0.0.6a0.tar.gz (21.1 kB view details)

Uploaded Source

Built Distribution

tsaopy-0.0.6a0-py3-none-any.whl (22.2 kB view details)

Uploaded Python 3

File details

Details for the file tsaopy-0.0.6a0.tar.gz.

File metadata

  • Download URL: tsaopy-0.0.6a0.tar.gz
  • Upload date:
  • Size: 21.1 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.10.4

File hashes

Hashes for tsaopy-0.0.6a0.tar.gz
Algorithm Hash digest
SHA256 065981b15ce05a5f958c284decfeff70a5949f2d508f1514f1b040c505a26606
MD5 0264eddfba4b2f38a7f9eb2e8a563ba1
BLAKE2b-256 4e4d6e97a4872d7525860776815ea017cddfc8ea57cad4caba06b67060ff40ba

See more details on using hashes here.

File details

Details for the file tsaopy-0.0.6a0-py3-none-any.whl.

File metadata

  • Download URL: tsaopy-0.0.6a0-py3-none-any.whl
  • Upload date:
  • Size: 22.2 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.10.4

File hashes

Hashes for tsaopy-0.0.6a0-py3-none-any.whl
Algorithm Hash digest
SHA256 71fe653cb3d96cb3a24ea97aa8649c4ddb33ad1dd849b77fa0bf7251997fbbc5
MD5 396a829aa0989dd0549483210855e6b9
BLAKE2b-256 b0c6debdc5265fd1359e9ca1ad1710fe295e35963185d30ce94270321de493e2

See more details on using hashes here.

Supported by

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