Metadata-Version: 1.1
Name: pandas-validation
Version: 0.1.1
Summary: A Python package for validating data with pandas
Home-page: https://github.com/jmenglund/pandas-validation
Author: Markus Englund
Author-email: jan.markus.englund@gmail.com
License: MIT
Description: pandas-validation
        =================
        
        pandas-validation is a small Python library for validating data
        with the Python package `pandas <http://pandas.pydata.org>`_.
        
        Source repository: `<https://github.com/jmenglund/pandas-validation>`_
        
        Documentation at `<http://pandas-validation.readthedocs.io>`_
        
        .. image:: https://api.travis-ci.org/jmenglund/pandas-validation.svg?branch=master
            :target: https://travis-ci.org/jmenglund/pandas-validation
            :alt: Build status
        
        .. image:: https://codecov.io/gh/jmenglund/pandas-validation/branch/master/graph/badge.svg
            :target: https://codecov.io/gh/jmenglund/pandas-validation
            :alt: Code coverage
        
        .. image:: https://readthedocs.org/projects/pandas-validation/badge/?version=latest
            :target: http://pandas-validation.readthedocs.io/en/latest/?badge=latest
            :alt: Documentation Status
        
        
        Installation
        ------------
        
        For most users, the easiest way is probably to install the latest version
        hosted on `PyPI <https://pypi.python.org/>`_:
        
        .. code-block:: bash
        
            $ pip install pandas-validation
        
        The project is hosted at https://github.com/jmenglund/pandas-validation and
        can also be installed using git:
        
        .. code-block:: bash
        
            $ git clone https://github.com/jmenglund/pandas-validation.git
            $ cd pandas-validation
            $ python setup.py install
        
        
        Running tests
        -------------
        
        Testing is carried out with `pytest <http://pytest.org>`_. The following
        example shows how you can run the test suite and generate a coverage report
        with `coverage <https://coverage.readthedocs.io/>`_:
        
        .. code-block:: bash
        
            $ py.test -v --pep8 pandasvalidation.py
            $ coverage run -m py.test
            $ coverage report --include pandasvalidation.py -m
        
        
        Build the documentation
        -----------------------
        
        The documentation can be built with `sphinx <http://www.sphinx-doc.org>`_:
        
        .. code-block:: bash
        
            $ cd pandas-validation
            $ sphinx-build -b html ./docs/source ./docs/_build/html
        
Keywords: pandas,validation
Platform: UNKNOWN
Classifier: Development Status :: 5 - Production/Stable
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.5
Classifier: Programming Language :: Python :: 3.6
