pywhip 0.3.2

Python package to validate data against whip specifications

# pywhip

The pywhip package is a Python package to validate data against
[whip specifications](https://github.com/inbo/whip), a human and
machine-readable syntax to express specifications for data.

* Free software: MIT license
* Documentation: https://inbo.github.io/pywhip

[](https://pypi.python.org/pypi/pywhip)

[](https://travis-ci.org/inbo/pywhip)

[](https://pyup.io/repos/github/inbo/pywhip/)

Check the [documentation pages](https://inbo.github.io/pywhip/installation.html) for more information.

## Installation

To install pywhip, run this command in your terminal:

```shell
pip install pywhip
```

For more detailed installation instructions, see the
[documentation pages](https://inbo.github.io/pywhip/installation.html).

## Test pywhip in jupyter notebook

Launch a jupyter notebook to interactively try out the pywhip package:

[](https://mybinder.org/v2/gh/inbo/pywhip/master?filepath=notebooks%2Fwhip_csv_data.ipynb)

## Quickstart

To validate a CSV data file with the field headers `country`, `eventDate`
and `individualCount`, write whip specifications, according to the
[whip syntax](https://github.com/inbo/whip):

```
specifications = """
country:
allowed: [BE, NL]
eventDate:
dateformat: '%Y-%m-%d'
mindate: 2016-01-01
maxdate: 2018-12-31
individualCount:
numberformat: x # needs to be an integer value
min: 1
max: 100
"""
```

To whip your data set, e.g. ``my_data.csv``, pass the data to
whip specifications:


```python
from pywhip import whip_csv

example = whip_csv("my_data.csv", specifications, delimiter=',')
```

and write the output report to an html file:

```python
with open("report_example.html", "w") as index_page:
index_page.write(example.get_report('html'))
```

Resulting in a [report](https://inbo.github.io/pywhip/report_observations.html) like this. For a more
detailed introduction, see [the documentaton tutorial](https://inbo.github.io/pywhip/tutorial.html).

## Credits

This package was created with [Cookiecutter](https://github.com/audreyr/cookiecutter)
and the [audreyr/cookiecutter-pypackage](https://github.com/audreyr/cookiecutter-pypackage)
project template.

Validation of data rows is using the [Cerberus](http://docs.python-cerberus.org/en/stable/)
package.


=======
History
=======

0.3.2 (2018-08-27)
------------------
* Hot fix on CLI tests

0.3.1 (2018-08-27)
------------------
* Add CLI support to pywhip for CSV files

0.3.0 (2018-08-23)
------------------
* Update to new whip specifications
* Support csv and Darwin Core Archive handling
* Add html and json reporting
* Provide updated sphinx documentation

0.2.1 (2018-04-06)
------------------
* Update towards new cerberus version

0.1.1 (2017-09-12)
------------------

* First release on PyPI.
* Package structure with CI integration
* tox testing on multiple Python versions