Metadata-Version: 2.1
Name: pandas-sets
Version: 0.2.0
Summary: Pandas - Sets:  Set-oriented Operations in Pandas
Home-page: https://github.com/Florents-Tselai/pandas-sets
Author: Florents Tselai
Author-email: florents@tselai.com
License: BSD
Description: # Pandas Sets: Set-oriented Operations in Pandas
        
        If you store standard Python `set`s or `frozenset`s in your `Series` or `DataFrame` objects, you'll find this useful.
        
        The `pandas_sets` package adds a `.set` accessor to any pandas `Series` object;
        it's like `.dt` for `datetime` or `.str` for `string`, but for [`set`](https://docs.python.org/3.7/library/stdtypes.html#set).
        
        It exposes all public methods available in the standard [`set`](https://docs.python.org/3.7/library/stdtypes.html#set).
        
        ## Installation
        ```bash
        pip install pandas-sets
        ```
        Just import the `pandas_sets` package and it will register a `.set` accessor to any `Series` object.
        
        ```python
        import pandas_sets
        ```
        
        ## Examples
        ```python
        import pandas_sets
        import pandas as pd
        df = pd.DataFrame({'post': [1, 2, 3, 4],
                            'tags': [{'python', 'pandas'}, {'philosophy', 'strategy'}, {'scikit-learn'}, {'pandas'}]
                           })
        
        pandas_posts = df[df.tags.set.contains('pandas')]
        
        pandas_posts.tags.set.add('data')
        
        pandas_posts.tags.set.update({'data', 'analysis'})
        
        pandas_posts.tags.set.len()
        ```
        
        ## Notes
        * 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.
        * The public API has been tested for most expected scenarios.
        * The API will need to be extended to handle `NA` values appropriately.
        
Platform: UNKNOWN
Description-Content-Type: text/markdown
