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.
1 maintainer
Metadata
1 maintainer
Release files for spectrend 0.0.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| spectrend-0.0.1.tar.gz | 6.6 kB | Without provenance | Details for spectrend-0.0.1.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| spectrend-0.0.1-py3-none-any.whl | Python 3 | none | any | Details for spectrend-0.0.1-py3-none-any.whl |
Total release size: 13.3 kB
Release files / spectrend-0.0.1.tar.gz
| Download URL | spectrend-0.0.1.tar.gz |
|---|---|
| Size | 6.6 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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|
|
BLAKE2b-256 checksum How to use checksums |
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|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/5.1.1 CPython/3.13.0
|
Release files / spectrend-0.0.1-py3-none-any.whl
| Download URL | spectrend-0.0.1-py3-none-any.whl |
|---|---|
| Size | 6.7 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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|
|
BLAKE2b-256 checksum How to use checksums |
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|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/5.1.1 CPython/3.13.0
|
Security for spectrend 0.0.1
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No provenance found
None of the files in this release were uploaded with provenance metadata.
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