Examples#
End-to-end examples show how you can use PyDPF-Post. If PyDPF-Post is installed on your machine, you can download these examples as Python files or Jupyter notebooks and run them locally.
PyDPF-Post analysis types#
These examples show how to post-process different simulation types using PyDPF-Post.
Transient Simulation with Animation
PyDPF-Post feature examples#
These examples show how you use PyDPF-Post features.
Create and manipulate a DPF Dataframe
Extract results on named selections - Modal Simulation
Extract components of results - Modal Simulation
Explore the data of a result with the DataFrame - Harmonic Simulation
Extract stress/strain invariants - Static Simulation
Export data contained in a DataFrame to a new format
Compute minimum and maximum of a DataFrame
Improve performance#
These examples show how you can use PyDPF-Post more efficiently to improve computation performance when necessary.
Reduce Model Size by using Mesh External Layer for Result and Mesh extraction
Reduce Model Size by using Mesh Skin for Result and Mesh extraction
Validate External Layer results with full Mesh
PyDPF-Post cyclic examples#
These examples show how you can use PyDPF-Post features for cyclic symmetry models.
Extract multi-stage cyclic results
Reduce Cyclic Model Size by using Mesh External Layer for Result and Mesh extraction
Reduce Cyclic Model Size by using Mesh Skin for Result and Mesh extraction
Get base and duplicate sectors (real and imaginary) results for modal cyclic symmetry
PyDPF-Post fluid examples#
These examples show how you can use PyDPF-Post features for fluid models.
Fluid Simulation Result Extraction
PyDPF-Post legacy examples#
These examples show how you use the legacy PyDPF-Post API.
Get data from static simulation
Complex results from a modal or harmonic analysis
Request result on a specific path