pandas-sets-0.1.0.tar.gz

# Pandas Sets: Set-oriented Operations in Pandas If you store standard Python `set`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.