matplotlib/matplotlib
Jul 2025 – Aug 2025
2 Months active
Languages Used
Python
Technical Skills
Backend DevelopmentCode RefactoringData VisualizationMatplotlibPythonTesting
lukashergt
PROFILE
Lukashergt
Contributed to the matplotlib/matplotlib repository by enhancing the legend module’s color handling and improving code maintainability. Developed robust support for labelcolor='linecolor', enabling accurate color inheritance from plot elements and ensuring fallback behavior for invisible handles. Expanded test coverage across histograms, lines, and scatter plots to guard against regressions in legend label coloring. Refactored backend Python code to standardize formatting, reduce line wrapping, and clarify exception handling, particularly around color attribute retrieval. Focused on backend development, code refactoring, and data visualization, these changes improved reliability and readability in the legend subsystem, laying groundwork for future enhancements and streamlined testing.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
11Total
Bugs
0
Commits
11
Features
2
Lines of code
705
Activity Months2
Your Network
161 peopleSame Organization
@phas.ubc.ca4
Shared Repositories
157
Work History
August 2025
2 Commits • 1 Features
Aug 1, 2025August 2025: Focused Legend module robustness and readability improvements in matplotlib/matplotlib. Narrowed the AttributeError exception handling to the single line calling getattr for color attribute retrieval, reducing risk of masking unrelated errors. Refactored Legend module code to reduce line wrapping and standardize formatting, improving readability and maintainability.
2 Commits • 1 Features
Aug 1, 2025August 2025: Focused Legend module robustness and readability improvements in matplotlib/matplotlib. Narrowed the AttributeError exception handling to the single line calling getattr for color attribute retrieval, reducing risk of masking unrelated errors. Refactored Legend module code to reduce line wrapping and standardize formatting, improving readability and maintainability.
August 2025
July 2025
9 Commits • 1 Features
Jul 1, 2025Monthly summary for 2025-07 - matplotlib/matplotlib focus: deliver robust enhancements to legend color handling and strengthen test coverage to reduce downstream troubleshooting and boost visualization reliability for analytics workflows.
July 2025
9 Commits • 1 Features
Jul 1, 2025Monthly summary for 2025-07 - matplotlib/matplotlib focus: deliver robust enhancements to legend color handling and strengthen test coverage to reduce downstream troubleshooting and boost visualization reliability for analytics workflows.
Activity
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Quality Metrics
Correctness95.4%
Maintainability94.6%
Architecture91.0%
Performance92.8%
AI Usage20.0%
Skills & Technologies
Programming Languages
Python
Technical Skills
Backend DevelopmentCode FormattingCode RefactoringData VisualizationError HandlingMatplotlibPythonReadability ImprovementSoftware DevelopmentTesting
Repositories Contributed To
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