I am exploring ParaView + TTK workflows for graph/topological visualizations (eventually extremum graphs), and I am investigating whether ParaView supports better control of labels and annotations through filters or pvpython scripting.
In particular, I would like to know:
Can point/cell label font size, font style, or label color be controlled reliably in ParaView or through pvpython?
Is there a way to make labels scale better while zooming?
Are there filters or representations recommended for graph/extremum graph visualization with readable labels?
Can pvpython be used to automate rendering, camera zoom, label visibility, or screenshot generation for graph-style visualizations?
Are there known workflows/workarounds for handling overlapping labels in dense graph/topology visualizations?
The goal is to generate clearer visualizations for topology/extremum graph style data where nearby nodes and labels become difficult to read.
Any suggestions, references, or example workflows would be very helpful.
The labels I am referring to are mainly point/node labels representing graph vertices or critical/extremum points (for example point IDs, scalar values, or extremum node identifiers).
The issue occurs when nearby graph nodes become spatially close and the labels overlap, making the visualization difficult to read while zooming.
My eventual goal is to visualize topology/extremum graph style data generated through TTK/ParaView pipelines. I would like to understand the recommended workflow for:
readable node labels,
controlling label font size/color,
handling overlapping labels,
and automating screenshots/camera control through pvpython.
I will prepare and share a small example dataset/screenshot demonstrating the overlap issue more clearly.