wheely-mammoth is a Python library for reading and handling extremely large proteomics datasets with PySpark. It provides a simple way to find and describe datasets for use with other tools.
Installation
wheely-mammoth requires Python 3.8+ and can be installed with pip
pip install wheely-mammoth
Basic Usage
Example usage:
>>> from wheely.mammoth.parsers import read_encyclopedia_features
>>> ds = read_encyclopedia_features("data/*.features.txt")
>>> type(ds)
<class 'wheely.mammoth.dataset.PsmDataset'>
>>> ds.scores.select(ds.score_columns[0]).describe().toPandas()
summary primary
0 count 1770
1 mean 12.408585019887022
2 stddev 3.727298477605115
3 min 6.9876947
4 max 43.78316
1 maintainer
Metadata
1 maintainer
Release files for wheely-mammoth 0.17.0
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Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
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| wheely_mammoth-0.17.0.tar.gz | 2.8 MB | With provenance | Details for wheely_mammoth-0.17.0.tar.gz |
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| wheely_mammoth-0.17.0-py3-none-any.whl | Python 3 | none | any | Details for wheely_mammoth-0.17.0-py3-none-any.whl |
Total release size: 2.8 MB
Release files / wheely_mammoth-0.17.0.tar.gz
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| Tags | Python 3 |
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