ansys-dpf-post 0.4.0

PyDPF-Post Python library.

PyDPF-Post - Ansys Data Post-Processing Framework

The Data Processing Framework (DPF) is designed to provide numerical simulation users/engineers with a toolbox for accessing and transforming simulation data.

The Python ansys-dpf-post package provides a high level, physics oriented API for postprocessing. Loading a simulation (defined by its result files) allows you to extract simulation metadata as well as results and apply postprocessing operations on it.

This module leverages the PyDPF-Core project's ansys-dpf-core package and can be found by visiting PyDPF-Core GitHub. Use ansys-dpf-core for building more advanced and customized workflows using Ansys DPF.

Documentation

Visit the PyDPF-Post Documentation for a detailed description of the package, or see the Examples Gallery for more detailed examples.

Installation

Install this repository with:

pip install ansys-dpf-post

You can also clone and install this repository with:

git clone https://github.com/pyansys/pydpf-post
cd pydpf-post
pip install . --user

Brief Demo

Provided you have ANSYS 2023 R1 installed, a DPF server starts automatically once you start using PyDPF-Post. Loading a simulation to extract and post-process results:

>>> from ansys.dpf import post
>>> from ansys.dpf.post import examples
>>> simulation = post.load_simulation(examples.download_crankshaft())
>>> displacement = simulation.displacement()
>>> print(displacement)

             results         U
              set_id         3
      node      comp          
      4872         X -3.41e-05
                   Y  1.54e-03
                   Z -2.64e-06
      9005         X -5.56e-05
                   Y  1.44e-03
                   Z  5.31e-06
       ...

>>> displacement.plot()

>>> stress_eqv = simulation.stress_eqv_von_mises_nodal()
>>> stress_eqv.plot()

To run PyDPF-Post with Ansys versions starting from 2021 R1 to 2022 R2, use the following legacy PyDPF-Post tools:

>>> from ansys.dpf import post
>>> from ansys.dpf.post import examples
>>> solution = post.load_solution(examples.download_crankshaft())
>>> stress = solution.stress()
>>> stress.eqv.plot_contour(show_edges=False)

License

PyDPF-Post is licensed under the MIT license. For more information, see the LICENSE.