pyeunomia
Eunomia is a standard dataset in the OMOP (Observational Medical Outcomes Partnership) Common Data Model (CDM) for testing and demonstration purposes. Eunomia is used for many of the exercises in the Book of OHDSI.
This library is just a simple wrapper for a Duckdb database created from the CSV export available in the exportToCsv function.
Usage
The connect() method returns a SQL interface compliant with the DB-API 2.0 specification described by PEP 249.
import pyeunomia
conn = pyeunomia.Eunomia().connect()
cur = conn.execute("select count(*) from person")
cur.fetchone()
(2694,)
conn.close()
Metadata
Release files for pyeunomia 0.1.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| pyeunomia-0.1.1.tar.gz | 4.8 MB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| pyeunomia-0.1.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 9.7 MB
Release files / pyeunomia-0.1.1.tar.gz
| Download URL | pyeunomia-0.1.1.tar.gz |
|---|---|
| Size | 4.8 MB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
08a6b319ff876a92d205e12691503c71e6e4d6ada522558d4d69eb90b06ad538
|
|
BLAKE2b-256 checksum How to use checksums |
2e4786689e2096c9c78a4b96a1cdcb975d601653f706db505bc1d89cd9156f35
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
pdm/2.12.4 CPython/3.10.12
|
Release files / pyeunomia-0.1.1-py3-none-any.whl
| Download URL | pyeunomia-0.1.1-py3-none-any.whl |
|---|---|
| Size | 4.9 MB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
24c2e7df73af6cb39f9720a0c92d7ea284fa434c0340e4f26d8ad0a75a779342
|
|
BLAKE2b-256 checksum How to use checksums |
2ffeb613da1c3eacbc1dfadd0aedd7c70b224cb081bf77e2e7443433c4fb386b
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
pdm/2.12.4 CPython/3.10.12
|