mysto - Data Anonymization in Python
Requires
This project was built and tested with Python 3.6 and later versions. It requires the pycryptodome and ff3 libraries:
pip3 install pycryptodome
pip3 install ff3
Installation
Install this project with pip:
pip3 install mysto
Usage
tbd
Code Example
The code example below can help you get started:
import pandas as pd
from datetime import date
import main
d = {'SSN': ['938-49-5100', '976-52-7639'], 'date': [date(1994,2,22), date(2000,10,10)]}
df = pd.DataFrame(data=d)
rules = [ '{"column" : "SSN", "type" : "Mask", "format" : "5" }', '{"column" : "date", "type" : "Generalize.Date"}' ]
out_df = main.anonymize(df, rules)
print(out_df)
Testing
To run unit tests on this implementation:
python3 rules_test.py
Implementation Notes
Author
Brad Schoening
License
This project is licensed under the terms of the Server Side Pubic License.
1 maintainer
Metadata
1 maintainer
Release files for mysto 0.8.1
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Source distribution (sdist)
| File | Size | Uploaded | Provenance | |
|---|---|---|---|---|
| mysto-0.8.1.tar.gz | 12.6 kB | Without provenance | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| mysto-0.8.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 25.0 kB
Release files / mysto-0.8.1.tar.gz
| Download URL | mysto-0.8.1.tar.gz |
|---|---|
| Size | 12.6 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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|
Release files / mysto-0.8.1-py3-none-any.whl
| Download URL | mysto-0.8.1-py3-none-any.whl |
|---|---|
| Size | 12.4 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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