Metadata-Version: 1.1
Name: tidyextractors
Version: 0.3.0
Summary: A collection of tools for extracting data into tidy DataFrames.
Home-page: https://github.com/networks-lab/tidyextractors/
Author: networks-lab
Author-email: john.mclevey@uwaterloo.ca
License: GPLv3
Download-URL: https://github.com/networks-lab/tidyextractors/archive/0.3.0.tar.gz
Description: tidyextractors
        =================
        
        Overview
        -----------------
        
        ``tidyextractors`` makes extracting data from supported sources as painless as possible, delivering you a populated Pandas DataFrame in three lines of code. ``tidyextractors`` was inspired by `Hadley Whickham's (2014) paper <http://vita.had.co.nz/papers/tidy-data.html>`_  which introduces "tidy data" as a conceptual framework for data preparation.
        
        For more information, including code examples, API reference, and general documentation, click `HERE <readthedocs.io>`_.
        
        Features
        -----------------
        
        * Extracts data with minimal effort.
        * Creates readable code that requires minimal explanation.
        * Exports Pandas Dataframes to maximize compatibility with the Python data science ecosystem.
        
        Currently Implemented Data Sources
        ------------------------------------------
        
        * `Local Git Repositories <http://tidyextractors.readthedocs.io/en/latest/git_overview.html>`_
        * `Twitter User Data (including Tweets) using the Twitter API <http://tidyextractors.readthedocs.io/en/latest/twitter_overview.html>`_
        * `Emails stored in the Mbox file format. <http://tidyextractors.readthedocs.io/en/latest/mbox_overview.html>`_
        
        Installing
        --------------
        In the near future, ``tidyextractors`` will be distributed on PyPI and accessible via ``pip``. For now, clone the repository and run ``pip install -e .`` in the cloned directory.
        
        
Keywords: Git Twitter Pandas Tidy Data mbox
Platform: UNKNOWN
Classifier: Development Status :: 1 - Planning
Classifier: License :: OSI Approved :: GNU General Public License v3 (GPLv3)
Classifier: Programming Language :: Python :: 3.4
Classifier: Intended Audience :: Science/Research
Classifier: Topic :: Scientific/Engineering :: Information Analysis
Classifier: Topic :: Scientific/Engineering :: Mathematics
Classifier: Topic :: Sociology
Classifier: Topic :: Software Development :: Version Control :: Git
