PIVPy

Python based post-processing PIV data analysis

Merging the three packages:

Use pip:

pip install pivpy[all]

to include also lvpyio if you work with Lavision files

pip install pivpy

if you use OpenPIV, PIVlab, etc.

git clone https://github.com/alexlib/pivpy .
cd pivpy
conda create -n pivpy python=3.11
conda activate pivpy
conda install pip
pip install -e .

lvpyio by Lavision Inc. if you use vc7 files
netcdf4 if you want to store NetCDF4 files by xarray
pyarrow if you want to store parquet files
vortexfitting if you want to do vortex analysis ($\lambda_2$ and $Q$ criterions, vortex fitting)
numpy, scipy, matplotlib, xarray are must and installed with the pivpy

and additional notebooks: Notebooks

From a command line just use:

pip install pytest
pytest

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

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

generates docs/build/html directory with the documentation

liorshig/pivpy