| Name | pyeunomia JSON |
| Version |
0.1.1
JSON |
| download |
| home_page | |
| Summary | A standard dataset in the OMOP (Observational Medical Outcomes Partnership) Common Data Model (CDM) for testing and demonstration purposes |
| upload_time | 2024-03-10 15:35:14 |
| maintainer | |
| docs_url | None |
| author | |
| requires_python | >=3.10 |
| license | MIT |
| keywords |
omop
cdm
ohdsi
|
| VCS |
|
| bugtrack_url |
|
| requirements |
No requirements were recorded.
|
| Travis-CI |
No Travis.
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| coveralls test coverage |
No coveralls.
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# 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](https://ohdsi.github.io/TheBookOfOhdsi/).
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](https://peps.python.org/pep-0249/).
```python
import pyeunomia
conn = pyeunomia.Eunomia().connect()
cur = conn.execute("select count(*) from person")
cur.fetchone()
```
```
(2694,)
```
```python
conn.close()
```
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