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
../_images/book-logo.png
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 usage

DPF most-used entities#

DPF model
../_images/model.png
DPF model
Fields container and fields
../_images/field.png
Fields containers and fields
Operators
../_images/small_operator.svg
Operators

How-tos#

Plot
../_images/pontoon.png ../_images/pontoon_strain.png
Plotting
Create custom operators
../_images/plugin-logo.png
Custom operators
Use DPF Server package
../_images/dpf_server_client.png
DPF Server
Switch between local and remote server
../_images/remote_machines.png
Client-server communication
Access Entry and Premium capabilities
../_images/entry_premium.png
Server context
Use DPF XML Files
../_images/xml.png
DPF XML files

Troubleshooting#

Server issues
Server issues
Model issues
Model issues
Plotting issues
Plotting issues
Performance issues
Performance issues