e2nIEE/pandapower
Oct 2025 – Oct 2025
1 Month active
Languages Used
Jupyter NotebookPython
Technical Skills
Data VisualizationNetwork AnalysisPandapowerPython Programming
Mr. Retorta
PROFILE
Mr. Retorta
During October 2025, Fabio Retorta developed a targeted visualization enhancement for the e2nIEE/pandapower repository, introducing Bus Group Plotting to improve network analysis workflows. He designed and implemented a new function in Python and Jupyter Notebook that enables users to plot and highlight specified groups of buses within a pandapower network. This feature streamlines group-level inspection, scenario evaluation, and troubleshooting by integrating seamlessly with existing visualization tools. Fabio’s work focused on data visualization and network analysis, reducing the time required for analysts to inspect bus groups and supporting faster fault diagnosis and planning, demonstrating depth in feature design and documentation.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
1Total
Bugs
0
Commits
1
Features
1
Lines of code
15,570
Activity Months1
Your Network
18 people
Work History
October 2025
1 Commits • 1 Features
Oct 1, 2025October 2025 focused on delivering a targeted visualization enhancement for pandapower: Bus Group Plotting. This enables plotting and highlighting specified bus groups within a network, improving analysts' ability to perform group-level inspection, scenario evaluation, and troubleshooting. The feature integrates with existing network visualization tooling, providing business value by accelerating decision-making and planning. No major bugs fixed this period.
1 Commits • 1 Features
Oct 1, 2025October 2025 focused on delivering a targeted visualization enhancement for pandapower: Bus Group Plotting. This enables plotting and highlighting specified bus groups within a network, improving analysts' ability to perform group-level inspection, scenario evaluation, and troubleshooting. The feature integrates with existing network visualization tooling, providing business value by accelerating decision-making and planning. No major bugs fixed this period.
October 2025
Activity
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Quality Metrics
Correctness100.0%
Maintainability100.0%
Architecture100.0%
Performance100.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
Jupyter NotebookPython
Technical Skills
Data VisualizationNetwork AnalysisPandapowerPython Programming
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