wheely-radiant: Reader for Radiant DIA results, compatible with
wheely-mammoth.
Installation
This library requires Python 3.8+ and can be installed with pip:
pip install wheely-radiant
Basic Usage
This package provides a plugin for the Fulcrum Pipeline's
read_existing search backend.
After installing wheely-radiant you may use the radiant engine to load
existing Radiant DIA results:
[search]
backend = "read_existing"
engine = "radiant"
location = ["uri_one", "uri_two", ...]
(or similar in JSON or dict format)
Direct Usage
To load raw PSM scores from a Radiant Parquet (.radiantDIA) file, use the function
read_radiant_features().
>>> from wheely_radiant import read_radiant_features
>>> ds = read_radiant_features("data/1.mzML.subset.radiantDIA")
>>> type(ds)
<class 'wheely.mammoth.dataset.PsmDataset'>
>>> ds.scores.select(ds.score_columns[1]).describe().toPandas()
summary cosineSim
0 count 1000
1 mean 0.3947062000000001
2 stddev 0.15665395271892263
3 min 0.0315
4 max 0.9926
To read multiple files, pass a tuple, list, array, or series of file paths. Currently only full paths are supported; you can not pass wildcard ("glob") paths to the function.
Metadata
Release files for wheely-radiant 1.2.0
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 |
|---|---|---|---|---|
| wheely_radiant-1.2.0.tar.gz | 354.2 kB | With provenance | Details for wheely_radiant-1.2.0.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| wheely_radiant-1.2.0-py3-none-any.whl | Python 3 | none | any | Details for wheely_radiant-1.2.0-py3-none-any.whl |
Total release size: 382.8 kB
Release files / wheely_radiant-1.2.0.tar.gz
| Download URL | wheely_radiant-1.2.0.tar.gz |
|---|---|
| Size | 354.2 kB |
| Tags | Source |
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| Download URL | wheely_radiant-1.2.0-py3-none-any.whl |
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| Size | 28.6 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/7.0.0 CPython/3.13.14
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Signed by GitHub Actions, verified by PyPI on Sep 30, 2026.
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