Metadata-Version: 1.1
Name: datatest
Version: 0.8.2
Summary: Test driven data wrangling.
Home-page: https://pypi.python.org/pypi/datatest
Author: Shawn Brown
Author-email: UNKNOWN
License: Apache 2.0
Description: 
        *************************************
        datatest: Test driven data wrangling
        *************************************
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        Datatest provides validation tools for test-driven data wrangling.
        It extends Python's `unittest
        <http://docs.python.org/3/library/unittest.html>`_ package to provide
        testing tools for asserting data correctness.
        
        ..
            Datatest provides validation tools for test-driven data
            wrangling. It includes tools to quickly load, query, and
            validate data using both unittest- and pytest-style testing.
        
        * Documentation:
            - https://datatest.readthedocs.io/ (stable)
            - https://datatest.readthedocs.io/en/latest/ (latest)
        * Official Releases:
           - https://pypi.python.org/pypi/datatest
        * Development:
           - https://github.com/shawnbrown/datatest
        
        Datatest can help prepare messy data that needs to be cleaned,
        integrated, formatted, and verified. It can provide structure for the
        tidying process, automate checklists, log discrepancies, and measure
        progress.
        
        
        Installation
        ============
        
        The easiest way to install datatest is to use pip::
        
          pip install datatest
        
        
        Stuntman Mike
        -------------
        
        If you need bug-fixes or features that are not available
        in the current stable release, you can "pip install" the
        development version directly from GitHub::
        
          pip install --upgrade https://github.com/shawnbrown/datatest/archive/master.zip
        
        All of the usual caveats for a development install should
        apply---only use this version if you can risk some instability
        or if you know exactly what you're doing. While care is taken
        to never break the build, it can happen.
        
        
        Safety-first Clyde
        ------------------
        
        If you need to review and test packages before installing, you can
        install datatest manually.
        
        Download the latest **source** distribution from the Python Package
        Index (PyPI):
        
          https://pypi.python.org/pypi/datatest
        
        Unpack the file (replacing X.Y.Z with the appropriate version number)
        and review the source code::
        
          tar xvfz datatest-X.Y.Z.tar.gz
        
        Change to the unpacked directory and run the tests::
        
          cd datatest-X.Y.Z
          python setup.py test
        
        Don't worry if some of the tests are skipped.  Tests for optional data
        sources (like pandas DataFrames or MS Excel files) are skipped when the
        related third-party packages are not installed.
        
        If the source code and test results are satisfactory, install the
        package::
        
          python setup.py install
        
        
        Supported Versions
        ==================
        
        Tested on Python 2.6, 2.7, and 3.1 through 3.6; PyPy and PyPy3.
        Datatest is pure Python and is also likely to run on Jython, Stackless,
        and other implementations without issue (check using "setup.py test"
        before installing).
        
        
        Backward Compatibility
        ======================
        
        If you have existing tests that use API features which have
        changed since 0.7.0.dev2, you can still run your old code by
        adding the following import to the beginning of each file::
        
          from datatest.__past__ import api07
        
        To maintain existing test code, this project makes a best-effort
        attempt to provide backward compatibility support for older
        features. The API will be improved in the future but only in
        measured and sustainable ways.
        
        All of the data used at the `National Committee for an Effective
        Congress <http://ncec.org/about>`_ has been checked with datatest
        for more than a year so there is, already, a large and growing
        codebase that relies on current features and must be maintained
        into the future.
        
        
        Dependencies
        ============
        
        There are no hard, third-party dependencies. But if you want to
        interface with pandas DataFrames, MS Excel workbooks, or other
        optional data sources, you will need to install the relevant
        packages (``pandas``, ``xlrd``, etc.).
        
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        ------------
        
        Freely licensed under the Apache License, Version 2.0
        
        Copyright 2014 - 2017 NCEC Services, LLC and contributing authors
        
        
        .. |buildstatus| image:: https://api.travis-ci.org/shawnbrown/datatest.png
            :target: https://travis-ci.org/shawnbrown/datatest
            :alt: Current Build Status
        
        .. |license| image:: https://img.shields.io/badge/license-Apache%202-blue.svg
            :target: https://opensource.org/licenses/Apache-2.0
            :alt: Apache 2.0 License
        
        .. |pyversions| image:: https://img.shields.io/pypi/pyversions/datatest.svg
            :target: https://pypi.python.org/pypi/datatest#supported-versions
            :alt: Supported Python Versions
        
        .. |githubstars| image:: https://img.shields.io/github/stars/shawnbrown/datatest.svg
            :target: https://github.com/shawnbrown/datatest/stargazers
            :alt: GitHub users who have starred this project
        
        .. |pypiversion| image:: https://img.shields.io/pypi/v/datatest.svg
            :target: https://pypi.python.org/pypi/datatest
            :alt: Current PyPI Version
        
Platform: UNKNOWN
Classifier: Topic :: Software Development :: Quality Assurance
Classifier: Topic :: Software Development :: Testing
Classifier: License :: OSI Approved :: Apache Software License
Classifier: Development Status :: 4 - Beta
Classifier: Programming Language :: Python :: 2
Classifier: Programming Language :: Python :: 2.6
Classifier: Programming Language :: Python :: 2.7
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.1
Classifier: Programming Language :: Python :: 3.2
Classifier: Programming Language :: Python :: 3.3
Classifier: Programming Language :: Python :: 3.4
Classifier: Programming Language :: Python :: 3.5
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: Implementation :: CPython
Classifier: Programming Language :: Python :: Implementation :: PyPy
