pypeh
pypeh is a lightweight ETL and data-ops toolkit for Personal Exposure and Health (PEH) data.
It helps you:
- work with PEH-model resources in Python
- load/transform/validate PEH study data
- support FAIR data workflows (findable, accessible, interoperable, reusable)
The toolkit is built to interact with the PEH model from PARC:
Install
Core package:
uv pip install pypeh
With dataframe adapter extras (Polars-based workflows):
uv pip install "pypeh[dataframe-adapter]"
Basic Usage
from pypeh import Session
# Start a session
session = Session()
# Load PEH model resources (e.g. YAML configs) into cache
session.load_persisted_cache(source="config")
# Load tabular data as a DatasetSeries using a DataImportConfig from cache
data_import_config = session.cache.get("<data_import_config_id>", "DataImportConfig")
dataset_series = session.load_tabular_dataset_series(
source="my_data.xlsx",
data_import_config=data_import_config,
)
From there you can use adapters for:
- validation
- enrichment (derived variables)
- aggregation
- export/persistence
Run Tests
make test-core
make test-dataframe
make test-rocrate
Documentation
Build the static documentation site with MkDocs:
make docs
Preview it locally:
make docs-serve
Release files for pypeh 0.7.0
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Source distribution (sdist)
| File | Size | Uploaded | Provenance | |
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| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| pypeh-0.7.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 215.7 kB
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