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    "info": {
        "author": "Martin Skarzynski",
        "author_email": "marskar@gmail.com",
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        "classifiers": [
            "License :: OSI Approved :: MIT License",
            "Operating System :: OS Independent",
            "Programming Language :: Python :: 3"
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        "description": "# The `scattr` Python package\n\nThe `scattr` package has one function, `scattr`,\nthat provides an easy way to\n**S**et **C**lass **ATTR**ibutes of classes derived\nfrom pre-existing Python classes.\n\nThe `scattr` function takes \n- a class object and\n- the name of a helper script\nand returns a subclass called `SubClassAttributes`\nthat contains the methods defined in the helper script.\n\nEssentially, this is an easy way to\nadd user-defined functions to classes.\n\nClass variables, method and classes can be added dynamically:\n```python\nimport pandas as pd\nimport math\n# add pi to a pandas DataFrame\npd.DataFrame.pi = math.pi\n```\n\nThe `scattr` package provides a cleaner way to \nadd new attributes, because it creates a new subclass and\nuses method and class defined in a separate helper script. \n\nThe `scattr` function only adds\ncallable objects(methods and classes), not variables.\n\n## Pandas DataFrame example\n```python\nimport pandas as pd\nfrom scattr import scattr\n\n# create a new class that inherits from pd.DataFrame\n# and includes methods defined in a 'helper.py' file\nScattrFrame = scattr(cls=pd.DataFrame, src='helper')\n\n# instantiate the new class\ndf = ScattrFrame(data=pd.read_csv('risk_factors_cervical_cancer.csv'))\n\n# test methods added from helper file\ndf.say_hi()\n\n# test CowClass added from helper file\ndf.CowClass.say_moo()\n\n# test method from parent class\ndf.head(n=1)\n\n# confirm that df is an instance of pd.DataFrame and PydyFrame\nisinstance(df, (pd.DataFrame, ScattrFrame))\n\n# confirm that ScattrFrame is a subclass of pd.DataFrame\nissubclass(ScattrFrame, pd.DataFrame)\n```\n\n",
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        "name": "scattr",
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        "summary": "Add user-defined methods to Python classes.",
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