v.0.3.7

PDF Anonymization Added

• pdfAnonymizer class added inside pdf module
• pdfAnonymizer can now take either a path to file or a url_path
• docstrings updated
• Pytests for pdf module added

Please refer to README.md for further information or examples of usage

v0.2.6

What's New?

• Minor Bugs Fixed
• `seed` argument for reproducible result added to `dfAnonymizer.anonym` function

v0.2.5

What's New?

• Minor Bugs Fixed
• Pytests for anonympy/images updated
• Pytests for anonympy/pandas added
• seed argument added to dfAnonymizer.categorical_fake,dfAnonymizer.categorical_resampling, dfAnonymizer.datetime_fake,dfAnonymizer.anonymize for reproducible results
• seed argument added to imAnonymizer.face_SaPfor reproducible results

v0.2.3

What's New?

• imAnonymizer class added for image anonymization
• Available methods: Face blurring, face pixaled blurring, face salt and pepper noise and general blurring (avg, median, Gaussian ...)
• Docstrings added
• Bugs fixed
• examples.ipynb extended

Full Changelog: 0.2.0...0.2.3

v0.2.0

What's New?

• Documentation extended
• info method added to dfAnonymizer object
• load_dataset - sample datasets added (size='small' / size = 'big')
• Conflicting packages issue resolved.

Full Changelog: 0.1.2...0.2.0

v0.1.2

What's New?

• Minor Bug fixed.
• pip installation added.
• Documentation updated.
• Conflicting packages resolved.

Full Changelog: 0.1.1...0.1.2

v0.1.1

What's New?

• README.md
• CONTRIBUTING.md
• CODE_OF_CONDUCT.md
• BSD 3-Clause License

Full Changelog: 0.1.0...0.1.1

v0.1.0

What's New?

• Functions for numeric columns added (Binning, Perturbation, PCA masking, Rounding)
• Functions for categorical columns added (Synthetic data, Resampling from same distribution, Tokenization)
• Functions for datetime columns added (Synthetic date, Perturbation)

Full Changelog: https://github.com/ArtLabss/open-data-anonimizedr/commits/0.1.0