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
python3installation (3.8+ recommended) - An MPI implementation such as
OpenMPI - A parallel
HDF5installation (must be compiled with--enable-parallel) -
mpi4py(optionally compiled from source) -
h5pycompiled 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.
