Dapla Toolbelt Whodat
Features
- Search for Norwegian national identity numbers from Pandas or Polars DataFrames.
- Chain search strategies from broad to precise and keep the first unique match for each row.
- Configure FREG search modifiers such as phonetic matching, historical data, and inclusion of deceased persons or residential addresses.
- Return matches as a list, a mapping keyed by the original DataFrame index, or detailed per-row results.
Requirements
- Python 3.10 or newer.
- Access to the Whodat service and a Dapla authentication token.
Installation
You can install Whodat via pip from PyPI:
pip install dapla-toolbelt-whodat
Usage
Please see the Reference Guide for details.
Contributing
Contributions are very welcome. To learn more, see the Contributor Guide.
License
Distributed under the terms of the MIT license, Whodat is free and open source software.
Issues
If you encounter any problems, please file an issue along with a detailed description.
Credits
This project was generated from Statistics Norway's SSB PyPI Template.
Metadata
Release files for dapla-toolbelt-whodat 1.2.4
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| dapla_toolbelt_whodat-1.2.4.tar.gz | 9.8 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| dapla_toolbelt_whodat-1.2.4-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 21.5 kB
Release files / dapla_toolbelt_whodat-1.2.4.tar.gz
| Download URL | dapla_toolbelt_whodat-1.2.4.tar.gz |
|---|---|
| Size | 9.8 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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| Download URL | dapla_toolbelt_whodat-1.2.4-py3-none-any.whl |
|---|---|
| Size | 11.7 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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Yes |
| Uploaded via |
twine/7.0.0 CPython/3.13.14
|
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