{
    "info": {
        "author": "samiriff",
        "author_email": "samiriff@gmail.com",
        "bugtrack_url": null,
        "classifiers": [
            "Development Status :: 5 - Production/Stable",
            "Intended Audience :: Developers",
            "License :: OSI Approved :: MIT License",
            "Programming Language :: Python",
            "Programming Language :: Python :: 2",
            "Programming Language :: Python :: 2.7",
            "Programming Language :: Python :: 3",
            "Programming Language :: Python :: 3.4",
            "Programming Language :: Python :: 3.5",
            "Programming Language :: Python :: 3.6",
            "Programming Language :: Python :: 3.7",
            "Programming Language :: Python :: Implementation :: CPython",
            "Programming Language :: Python :: Implementation :: PyPy",
            "Topic :: Software Development :: Libraries :: Python Modules",
            "Topic :: Software Development :: Testing",
            "Topic :: Utilities"
        ],
        "description": "# Anonymizer\n\n_Anonymizer_ is a Python package that generates fake data for you. It internally makes use of the [Faker](https://github.com/joke2k/faker) package, and allows you to keep track of the mapping between your original and fake data. This will be especially useful when you are anonymizing data in pandas data frames.\n\n```\n   _____                                           .__\n  /  _  \\    ____    ____    ____  ___.__.  _____  |__|________  ____ _______\n /  /_\\  \\  /    \\  /  _ \\  /    \\<   |  | /     \\ |  |\\___   /_/ __ \\\\_  __ \\\n/    |    \\|   |  \\(  <_> )|   |  \\\\___  ||  Y Y  \\|  | /    / \\  ___/ |  | \\/\n\\____|__  /|___|  / \\____/ |___|  // ____||__|_|  /|__|/_____ \\ \\___  >|__|\n        \\/      \\/              \\/ \\/           \\/           \\/     \\/\n```\n\n## Basic Usage\n\n### Initialization\n\n```\nnames = ['Kevin Bell', 'Ricky Sheppard', 'James Hill MD']\nanonymizer = Anonymizer()\n```\n\n### Get Anonymized Name\n```\nanonymizer.get_anonymized_name('Ghajinikanth Zuckerberg')\n# 'Catherine Parker'\n```\n\n### Get Original Name\n```\nanonymizer.get_original_name('Catherine Parker')\n# 'Ghajinikanth Zuckerberg'\n```\n\n### Get Anonymized Name for Same Name\n```\nanonymizer.get_anonymized_name('Ghajinikanth Zuckerberg') # First Call\n# 'Catherine Parker'\n\nanonymizer.get_anonymized_name('Ghajinikanth Zuckerberg') # Second Call\n# 'Catherine Parker'\n```\n\n### Fetch list of Anonymized Names\n```\nanonymizer.get_anonymized_names(names)\n# ['Leslie Adams', 'Michelle Burke', 'Annette Maxwell']\n```\n### Fetch list of Original Names\n```\nanonymizer.get_original_names(anonymizedNames)\n# ['Kevin Bell', 'Ricky Sheppard', 'James Hill MD']\n```\n###  Get Anonymized Data for a different Faker Type\n```\naddress_anonymizer = Anonymizer(faker_type=FakerType.ADDRESS)\naddress_anonymizer.get_anonymized_name('74437 Alexandra Well\\nSouth Jade, CT 40282')\n# 'USNS Hernandez\\nFPO AA 32353'\n```\n## Acknowledgements\n- [Faker](https://github.com/joke2k/faker)",
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        "keywords": "faker anonymizer data test mock generator pandas dataframe anonymize",
        "license": "MIT License",
        "maintainer": "",
        "maintainer_email": "",
        "name": "data-anonymizer-mapper",
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        "summary": "Anonymizer is a Python package that generates fake data for you, especially useful with pandas dataframes.",
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