PyDPF-Post key features

Computational efficiency

PyDPF-Post is based on DPF, whose data framework localizes loading and postprocessing on the DPF server, enabling rapid postprocessing workflows because they are written in C and FORTRAN. Because PyDPF-Post presents results in a Pythonic manner, you can rapidly develop simple or complex postprocessing scripts.

Easy to use

The PyDPF-Post API automates the use of chained DPF operators to make postprocessing easier. By using operators to compute results, you can build your own custom, low-level scripts to enable fast postprocessing of potentially multi-gigabyte models with PyDPF-Core.

Ansys solver result files support

DPF supports these Ansys solver result files:

• Mechanical APDL (RST, MODE, RFRQ, and RDSP)

• LS-DYNA (D3PLOT and BINOUT)

• Fluent (CAS/DAT.H5 and FLPRJ)

• CFX (CAS/DAT.CFF, FLPRJ, and RES)

For more comprehensive information on file support for Ansys solvers, see the main page in the PyDPF-Core documentation.