
Worked on enhancing data visualization reliability in the JakobKirschner/pandapower repository, focusing on a critical bug fix for the pf_res_plotly plotting tool. Addressed an issue where colorbars were not displaying correctly for line plots by refining how marker coordinates were retrieved and ensuring accurate association between the colorbar and line data. Utilized Python and Plotly to implement the solution, which involved debugging invisible marker handling and improving scatter trace linkage. This targeted fix resulted in more stable and interpretable visualizations, reducing user confusion and support requests while contributing to the maintainability and clarity of the codebase.
October 2025: Focused on improving data visualization reliability in pandapower. Delivered a critical fix for pf_res_plotly line plots to ensure colorbars display correctly, enhancing interpretability and user trust. The fix involved adjusting coordinates retrieval for the invisible marker driving the colorbar and binding the colorbar to the line data. Implemented in commit de2dd5538cb9f5dfcc4a22714732e35d8037782c. Result: more stable, accurate visualizations and a smoother user experience for end users analyzing power system results.
October 2025: Focused on improving data visualization reliability in pandapower. Delivered a critical fix for pf_res_plotly line plots to ensure colorbars display correctly, enhancing interpretability and user trust. The fix involved adjusting coordinates retrieval for the invisible marker driving the colorbar and binding the colorbar to the line data. Implemented in commit de2dd5538cb9f5dfcc4a22714732e35d8037782c. Result: more stable, accurate visualizations and a smoother user experience for end users analyzing power system results.

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