DataForge Mask
High-performance data masking for Python.
Installation
pip install dataforge-mask
Usage
from dataforge_mask import mask
import pandas as pd
df = pd.DataFrame({
"email": ["a@test.com", "b@test.com", "c@test.com"],
"ssn": ["123-45-6789", "987-65-4321", "111-22-3333"]
})
transforms = [
{"column": "email", "type": "hash"},
{"column": "ssn", "type": "redact"}
]
result = mask(df, transforms, key="secret_key")
1 maintainer
Metadata
1 maintainer
Release files for dataforge-mask 0.1.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| dataforge_mask-0.1.0-cp39-cp39-macosx_11_0_arm64.whl | CPython 3.9 | CPython 3.9 | macOS 11.0+ ARM64 | Details |
Release files / dataforge_mask-0.1.0-cp39-cp39-macosx_11_0_arm64.whl
| Download URL | dataforge_mask-0.1.0-cp39-cp39-macosx_11_0_arm64.whl |
|---|---|
| Size | 674.3 kB |
| Tags | CPython 3.9 macOS 11.0+ ARM64 |
|
SHA-256 checksum How to use checksums |
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| Uploaded via |
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