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 tests
Testing is carried out with pytest. The following example shows how you can run the test suite and generate a coverage report with coverage:
$ 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:
$ cd pandas-validation
$ sphinx-build -b html ./docs/source ./docs/_build/html
Metadata
Release files for pandas-validation 0.1.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| pandas-validation-0.1.1.tar.gz | 5.8 kB | Without provenance | Details for pandas-validation-0.1.1.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| pandas_validation-0.1.1-py2.py3-none-any.whl | Python 2, Python 3 | none | any | Details for pandas_validation-0.1.1-py2.py3-none-any.whl |
Total release size: 12.2 kB
Release files / pandas-validation-0.1.1.tar.gz
| Download URL | pandas-validation-0.1.1.tar.gz |
|---|---|
| Size | 5.8 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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Release files / pandas_validation-0.1.1-py2.py3-none-any.whl
| Download URL | pandas_validation-0.1.1-py2.py3-none-any.whl |
|---|---|
| Size | 6.5 kB |
| Tags | Python 2 Python 3 |
|
SHA-256 checksum How to use checksums |
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No |
Security for pandas-validation 0.1.1
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None of the files in this release were uploaded with provenance metadata.
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