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Post processing of PIV vector files eventually going into OpenPIV

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[![Documentation Status](https://readthedocs.org/projects/pivpy/badge/?version=latest)](https://pivpy.readthedocs.io/en/latest/?badge=latest)

# PIVPy Python based post-processing PIV data analysis, similar to PIVMAT and VecPy

Merging the three packages: 1. https://github.com/tomerast/Vecpy 2. https://github.com/alexlib/pivpy/tree/xarray 3. https://github.com/ronshnapp/vecpy

### How do I get set up? ###

Use pip:

pip install git+https://github.com/alexlib/pivpy

### How to get started?

Look into the [getting started Jupyter notebook](https://github.com/alexlib/pivpy/blob/master/examples/notebooks/Getting_Started.ipynb)

and additional notebooks: [Notebooks](https://github.com/alexlib/pivpy/blob/master/examples/notebooks/)

### How to test? ###

From a command line just use:

nosetests

### Documentation on Github:

[PIVPy on ReadTheDocs](http://pivpy.readthedocs.io)

### How to help? ###

Read the ToDo file and pick one item to program. Use Fork-Develop-Pull Request model to contribute

### How to write tutorials and add those to the documentation ###

Using great tutorial http://sphinx-ipynb.readthedocs.org/en/latest/howto.html we now can prepare IPython notebooks (see in /docs/source) and convert those to .rst files, then

python setup.py build_sphinx

generates `html` directory with the documentation ready

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