Extensible toolkit for analyzing turbulent flow datasets
Project description
turbx
turbx is a python3 module which contains tools for organization, storage and parallelized processing of turbulent flow datasets, including super()ed wrappers of h5py.File that streamline data & metadata access.
python3 -m pip install turbx
turbx runs in python3 and uses parallel HDF5 (wrapped by h5py) for high-performance collective MPI-IO with mpi4py. This requires:
- A
python3installation (3.11+ recommended) - An MPI implementation such as
OpenMPI - A parallel
HDF5installation (must be compiled with--enable-parallel) mpi4pyh5pycompiled with parallel configuration
Visualization of HDF5 datasets in Paraview is supported through the use of XML/XDMF sidecar descriptor files. All major data classes (such as rgd) can automatically generate the descriptor files by calling .make_xdmf().
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