turbx

Extensible toolkit for analyzing turbulent flow datasets.

Install with pip:

pip install --upgrade --user turbx

turbx runs in python3 and uses parallel HDF5 (wrapped by h5py) for high-performance collective MPI-IO with mpi4py. This requires:

• A python3 installation (3.8+ recommended)
• An MPI implementation such as OpenMPI
• A parallel HDF5 installation (must be compiled with --enable-parallel)
• mpi4py (optionally compiled from source)
• h5py compiled with parallel configuration

Visualization of HDF5 datasets is possible using Paraview with the use of xdmf data descriptor files, which are written automatically by calling .make_xdmf() on turbx data class (such as rgd) class instances.