A Python package for validating data with pandas
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
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
$ pycodestyle pandasvalidation.py test_pandasvalidation.py setup.py
Building the documentation
$ cd pandas-validation $ sphinx-build -b html ./docs/source ./docs/_build/html
pandas-validation is distributed under the MIT license.
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