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        "author": "Florents Tselai",
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        "description": "# Pandas Sets: Set-oriented Operations in Pandas\n\nIf you store standard Python `set`s in your `Series` or `DataFrame` objects, you'll find this useful.\n\nThe `pandas_sets` package adds a `.set` accessor to any pandas `Series` object;\nit's like `.dt` for `datetime` or `.str` for `string`, but for [`set`](https://docs.python.org/3.7/library/stdtypes.html#set).\n\nIt exposes all public methods available in the standard [`set`](https://docs.python.org/3.7/library/stdtypes.html#set). \n\n## Installation\n```bash\npip install pandas-sets\n```\nJust import the `pandas_sets` package and it will register a `.set` accessor to any `Series` object.\n\n```python\nimport pandas_sets\n```\n\n## Examples\n```python\nimport pandas_sets\nimport pandas as pd\ndf = pd.DataFrame({'post': [1, 2, 3, 4],\n                    'tags': [{'python', 'pandas'}, {'philosophy', 'strategy'}, {'scikit-learn'}, {'pandas'}]\n                   })\n\npandas_posts = df[df.tags.set.contains('pandas')]\n\npandas_posts.tags.set.add('data')\n\npandas_posts.tags.set.update({'data', 'analysis'})\n\npandas_posts.tags.set.len()\n```\n\n## Notes\n* The implementation is primitive for now. It's based heavily on the pandas' core [`StringMethods`](https://github.com/pandas-dev/pandas/blob/52a2bb490556a86c5f756465320c18977dbe1c36/pandas/core/strings.py#L1783) implementation.\n* The public API has been tested for most expected scenarios.\n* The API will need to be extended to handle `NA` values appropriately.\n\n",
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