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
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
tsaopy-0.0.6a4.tar.gz
(21.0 kB
view details)
Built Distribution
tsaopy-0.0.6a4-py3-none-any.whl
(21.8 kB
view details)
File details
Details for the file tsaopy-0.0.6a4.tar.gz.
File metadata
- Download URL: tsaopy-0.0.6a4.tar.gz
- Upload date:
- Size: 21.0 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.1 CPython/3.10.4
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 7987397b248c7f4a72dd943b2ed770c70caa4de8e60ff079744d6560117fdbfe |
|
| MD5 | 7f67de6294d88143f74774161ae93324 |
|
| BLAKE2b-256 | 0bb71d4f2d64d0c5befdccddd248ea526fd9dec6af40bf41fab4b14a7b724a69 |
File details
Details for the file tsaopy-0.0.6a4-py3-none-any.whl.
File metadata
- Download URL: tsaopy-0.0.6a4-py3-none-any.whl
- Upload date:
- Size: 21.8 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.1 CPython/3.10.4
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | ccc53d7d38cf1b54af4b033c2f564a8b5ad970e0e9aa39c1a0c89324cfac4aac |
|
| MD5 | 5a49a31850085899cc7579a7a15b230a |
|
| BLAKE2b-256 | ef0eebed00bf8d2cdba7e6874c2af862c6cf4212bccb8d6fd98c168fae79fc39 |
