In the TAPython documentation, we mentioned using matplotlib and networkx to classify and visualize UE objects, and this repository is an example of implementing this function.
- matplotlib
- networkx
- scipy
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create a virtual environment and activate it(If you don't want to use virtual environment, you can skip this step.)
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install the required packages
pip install -r requirements.txt- execute the python script main.py
The data source of visualization is ./PythonStub/unreal.py, which is generated by UE editor. If your UE editor version is different, you can replace unreal.py in the ./PythonStub directory.
How to get unreal.py:
When we enable Developer Mode in Preferences > Plugins > Python and launch the UE editor, a stub file named unreal.py is generated in the <Your_UE_Project>/Intermediate/PythonStub directory. It contains all the Python-available objects and APIs in the current editor.
- The number keys 1-9 on the main keyboard area: switch the title display level
- e/d：switch display mode
- r：reset display layout
- w: draw reference relationship
- q: exit
Other operations such as moving the canvas are the same as matplotlib
Have fun!