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PIVPy helps to understand PIV results, inspired by PIVMAT

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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 pivpy

How to get started?

Look into the getting started Jupyter notebook

and additional notebooks: Notebooks

How to test?

From a command line just use:

nosetests

Documentation on Github:

PIVPy on ReadTheDocs

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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