A toolbox for determining the presence of trends using spectral analysis
Project description
Spectrend: A toolbox for determining the presence of trends using spectral analysis
Installation
pip install spectrend
Usage
import spectrend
...
# TBD
Theory
See theory.md.
Options
Contributing
Feel free to contribute! With that in mind, this tool is intentionally simple.
Project details
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
spectrend-0.0.1.tar.gz
(6.6 kB
view details)
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file spectrend-0.0.1.tar.gz.
File metadata
- Download URL: spectrend-0.0.1.tar.gz
- Upload date:
- Size: 6.6 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.1.1 CPython/3.13.0
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
a48ef06967b6ca62c40a4ba57f1053535a1a3dbc76d0ba992980abc62f1dc6bc
|
|
| MD5 |
1f6785a8b87e1e6eff6a9796b068b80d
|
|
| BLAKE2b-256 |
e476bdbc334732629363de0ca20b39b6636391656318a10614a1753771186923
|
File details
Details for the file spectrend-0.0.1-py3-none-any.whl.
File metadata
- Download URL: spectrend-0.0.1-py3-none-any.whl
- Upload date:
- Size: 6.7 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.1.1 CPython/3.13.0
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
ad703a0274e6ec1832f10c9732b733c02954905458fc53a06aafe3b92a76de9e
|
|
| MD5 |
2793da2196b36dc979f868abaa6807bf
|
|
| BLAKE2b-256 |
9481b4057353a8f2644ba58406d476ec1e1f3907c272f78be20a4654e0fbcb1f
|