fingerprints
This library helps with the generation of fingerprints for entity data. A fingerprint in this context is understood as a simplified entity identifier, derived from it's name or address and used for cross-referencing of entity across different datasets.
Usage
import fingerprints
fp = fingerprints.generate('Mr. Sherlock Holmes')
assert fp == 'holmes sherlock'
fp = fingerprints.generate('Siemens Aktiengesellschaft')
assert fp == 'ag siemens'
fp = fingerprints.generate('New York, New York')
assert fp == 'new york'
Company type names
A significant part of what fingerprints does it to recognize company legal form
names. For example, fingerprints will be able to simplify Общество с ограниченной ответственностью to ООО, or Aktiengesellschaft to AG. The required database
is based on two different sources:
- A Google Spreadsheet created by OCCRP.
- The ISO 20275: Entity Legal Forms Code List
Wikipedia also maintains an index of types of business entity.
See also
- Clustering in Depth, part of the OpenRefine documentation discussing how to create collisions in data clustering.
- probablepeople, parser for western names made by the brilliant folks at datamade.us.
2 maintainers
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file fingerprints-1.0.1.tar.gz.
File metadata
- Download URL: fingerprints-1.0.1.tar.gz
- Upload date:
- Size: 12.7 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.1.1 pkginfo/1.5.0.1 requests/2.23.0 setuptools/46.0.0 requests-toolbelt/0.9.1 tqdm/4.43.0 CPython/3.7.7
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
b180a4868d53c2626b3b14004faaa18a23f0596c1de130676f963bd749153869
|
|
| MD5 |
a503dd59707f7d84a23100bf3adcb138
|
|
| BLAKE2b-256 |
80706ce12abda0d54fec3508afb7bdf1746e6097c9da74e817030d6fff386263
|
File details
Details for the file fingerprints-1.0.1-py2.py3-none-any.whl.
File metadata
- Download URL: fingerprints-1.0.1-py2.py3-none-any.whl
- Upload date:
- Size: 12.8 kB
- Tags: Python 2, Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.1.1 pkginfo/1.5.0.1 requests/2.23.0 setuptools/46.0.0 requests-toolbelt/0.9.1 tqdm/4.43.0 CPython/3.7.7
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
d5b6b53c5806b6dfd967d935e4767eb86bcbade59c05b2bfe463711969adcc69
|
|
| MD5 |
4947cf01b34fbc335f72c3a1cc55f5f6
|
|
| BLAKE2b-256 |
d5e526e6f5b997101c686b754b30da10d5a0b2dbe68e56023c8ce46bd2e39b35
|
