A Python package for validating data with pandas
Project description
pandas-validation is a small Python library for validating data with the Python package pandas.
Source repository: https://github.com/jmenglund/pandas-validation
Documentation at http://pandas-validation.readthedocs.io
Installation
For most users, the easiest way is probably to install the latest version hosted on PyPI:
$ pip install pandas-validation
The project is hosted at https://github.com/jmenglund/pandas-validation and can also be installed using git:
$ git clone https://github.com/jmenglund/pandas-validation.git
$ cd pandas-validation
$ python setup.py install
Running the tests
Testing is carried out with pytest:
$ pytest -v test_pandasvalidation.py
Test coverage can be calculated with Coverage.py using the following commands:
$ coverage run -m pytest
$ coverage report -m pandasvalidation.py
The code follow style conventions in PEP8, which can be checked with pycodestyle:
$ pycodestyle pandasvalidation.py test_pandasvalidation.py setup.py
Building the documentation
The documentation can be built with Sphinx and the Read the Docs Sphinx Theme:
$ cd pandas-validation
$ sphinx-build -b html ./docs/source ./docs/_build/html
License
pandas-validation is distributed under the MIT license.
Project details
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.