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Python package for post-processing PIV results

Project description


Python based post-processing PIV data analysis

PyPI version Documentation Status Binder

Merging the three packages:


How do I get set up?

Use pip:

pip install pivpy

What packages are required and which are optional

  1. lvreader by Lavision if you use vc7 files
  2. netcdf4 if you want to store NetCDF4 files by xarray
  3. pyarrow if you want to store parquet files
  4. numpy, scipy, matplotlib, xarray are must and installed with the 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:

pip install pytest

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 we now can prepare IPython notebooks (see in /docs/source) and convert those to .rst files, then

python sphinx-build
sphinx-build -b html docs/source/ docs/build/html

generates docs/build/html directory with the documentation

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