User guide#

PyDPF-Core is a Python client API for accessing DPF postprocessing capabilities. The ansys.dpf.core package makes highly efficient computation, customization, and remote postprocessing accessible in Python.

The goals of this section are to:

Describe the most-used DPF entities and how they can help you to access and modify solver data.

Provide simple how-tos for tackling the most common use cases.

Concepts#

This section provides in-depth descriptions and explanations of DPF concepts, including terminology.

Concepts and terminology

Terms and concepts

Ways of using DPF

../_images/using-dpf.png

DPF capabilities and scripting languages

Using DPF: Step by step

../_images/checklist.png

DPF most-used entities#

DPF model

../_images/model.png

Fields container and fields

../_images/field.png

Fields container and fields

Operators

../_images/small_operator.svg

How-tos#

Plot

../_images/pontoon.png

../_images/pontoon_strain.png

Create custom operators

Custom operators

Use DPF Server package

../_images/dpf_server_client.png

Switch between local and remote server

../_images/remote_machines.png

Client-server communication

Access Entry and Premium capabilities

../_images/entry_premium.png

Use DPF XML Files

../_images/xml.png

Troubleshooting#

Server issues

Model issues

Plotting issues

Plotting issues

Performance issues

Performance issues