High-performance data masking and pseudonymization for pandas/pyarrow DataFrames
Project description
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")
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- Upload date:
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- Uploaded via: twine/6.2.0 CPython/3.9.6
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