dathren
Public health data, cleaned up and documented.
dathren fetches datasets from agencies like the CDC and returns them in one consistent shape, with the quirks marked instead of hidden: suppressed cells, provisional counts, and adjusted values all come through as explicit fields.
pip install dathren # or: pip install 'dathren[pandas]'
import dathren
for d in dathren.datasets():
print(d["id"], "-", d["title"])
rows = dathren.fetch("cdc-vsrr-overdose", geo="US", measure="synthetic_opioids", since=2024)
rows[-1]
# {'dataset': 'cdc-vsrr-overdose', 'measure': 'synthetic_opioids', 'geo': 'US',
# 'geo_name': 'United States', 'period': '2026-05', 'value': 33959.0,
# 'adjusted_value': 34507.0, 'flags': ['provisional', 'underreported'], ...}
df = dathren.fetch_df("brfss-mental-health", measure="mental_distress")
Read each dataset's caveats before drawing conclusions:
for c in dathren.info("cdc-places-county")["caveats"]:
print(c["title"], "-", c["detail"])
Data is fetched live from the publisher on every call. Browse datasets, charts, and caveats at dathren.debugr.net.
1 maintainer
Metadata
1 maintainer
Release files for dathren 0.1.1
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| File | Size | Uploaded | Provenance | |
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| dathren-0.1.1.tar.gz | 30.4 kB | With provenance | Details |
Built distributions (wheels)
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| dathren-0.1.1-cp39-abi3-win_amd64.whl | CPython 3.9 | abi3 | Windows x86-64 | Details |
| dathren-0.1.1-cp39-abi3-manylinux_2_28_aarch64.whl | CPython 3.9 | abi3 | Linux glibc 2.28+ ARM64 | Details |
| dathren-0.1.1-cp39-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl | CPython 3.9 | abi3 | Linux glibc 2.17+ x86-64 | Details |
| dathren-0.1.1-cp39-abi3-macosx_11_0_arm64.whl | CPython 3.9 | abi3 | macOS 11.0+ ARM64 | Details |
| dathren-0.1.1-cp39-abi3-macosx_10_12_x86_64.whl | CPython 3.9 | abi3 | macOS 10.12+ x86-64 | Details |
Total release size: 9.9 MB
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