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Description
This issue tracks PyDPF-Core issues related to adding examples for core functionalities.
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🟡 From the examples section 🟡 |
🟣 From the user guide how-tos section 🟣 |
🟠 From the user guide DPF most used entities section 🟠 |
PyDPF-Core data structures
- DPF raw data storage structures
- DPF collections
PyDPF-Core language
- Basic dpf implementation (PyDPF-Core API use)
Post processing basics
- A basic PyDPF-Core script 🟡 A
Import data #1933
From user input
- Import data from csv file
- Manual input data on DPF
From result file
- Import a result file in DPF
- Extract results from a result file
- Extract and explore results metadata 🟡 C and E
- Extract and explore results data🟡C and E
- Narrow down data (scoping tutorial) 🟡 F and G
Mesh #1908
- Create a mesh from scratch 🟡 D
- Get a mesh from a result file
- Explore a mesh
- Read a mesh metadata
- Extract a mesh in split parts
- Split a mesh
Transform data
- Using operators 🟡 B 🟠 I
- Create a workflow 🟠 I
Plot #1903
- Plotting meshes 🟡 N and O 🟠A
- Plotting data on the mesh 🟡 N and Q 🟠A
- Plotting data on the deformed mesh
- Plotting data on specific placements 🟡 P and S
- Plotting a graph
Animate #1915
- Animate data over time 🟡 R
- Animate data for modal analysis
Export data
- HDF5 export
Custom operators and plugins #1890
- Create custom operators and plugins 🟡 V and 🟣 B
- Create a plug-in package with multiple operators 🟡 W and 🟣B
- Create a plug-in package that has third-party dependencies 🟡 X
Post-process distributed files
- Post process data on distributed processes 🟡 T
- Create a custom workflow on distributed processes 🟡 U
DPF server #1891
Demander a antoine
- Switch between local and remote server 🟣 D
Licencing #1889
Demander a antoine
- Access Entry and Premium Capabilities 🟣 E
Mathematical operations #1910
- Basic maths
Manipulating physics data
- Unit, homogeneity