UXARRAY/uxarray
Apr 2025 – Sep 2025
2 Months active
Languages Used
Python
Technical Skills
Library UpdatesNumerical ComputingData AnalysisGeospatial AnalysisNumPyPython
Joshua Pan
PROFILE
Joshua Pan
Jipan contributed to the UXARRAY/uxarray repository by developing the Azimuthal Mean Radial Averaging feature, enabling users to compute averages along circles of constant great-circle distance for advanced radial data analysis. Using Python, NumPy, and xarray, Jipan implemented the core computation logic, updated the API, and provided thorough documentation and test coverage to ensure reliability. Additionally, Jipan addressed a compatibility issue by replacing np.atan2 with np.arctan2 in coordinate transformation routines, preserving correct 2D-to-spherical conversions across numpy versions. The work demonstrated careful attention to numerical stability and cross-version support, delivering both new analytical capabilities and improved library robustness.
Overall Statistics
Feature vs Bugs
50%Features
Repository Contributions
2Total
Bugs
1
Commits
2
Features
1
Lines of code
208
Activity Months2
Work History
September 2025
1 Commits • 1 Features
Sep 1, 2025Month: 2025-09 — Key accomplishments include delivering the Azimuthal Mean Radial Averaging feature for radial data analysis in UXARRAY/uxarray, with core computation logic, API updates, documentation, and comprehensive test coverage. This work enhances radial proximity analysis capabilities, enabling more precise data insights for users and teams.
1 Commits • 1 Features
Sep 1, 2025Month: 2025-09 — Key accomplishments include delivering the Azimuthal Mean Radial Averaging feature for radial data analysis in UXARRAY/uxarray, with core computation logic, API updates, documentation, and comprehensive test coverage. This work enhances radial proximity analysis capabilities, enabling more precise data insights for users and teams.
September 2025
April 2025
1 Commits
Apr 1, 2025April 2025 monthly summary for UXARRAY/uxarray focused on stabilizing coordinate transformations across numpy versions. Delivered a targeted bug fix that preserves data integrity in coordinate conversions by replacing np.atan2 with np.arctan2, ensuring correct 2D-to-spherical transformations even on older numpy releases. The change reduces downstream errors in analyses that rely on consistent coordinate math and improves cross-version compatibility with minimal risk.
April 2025
1 Commits
Apr 1, 2025April 2025 monthly summary for UXARRAY/uxarray focused on stabilizing coordinate transformations across numpy versions. Delivered a targeted bug fix that preserves data integrity in coordinate conversions by replacing np.atan2 with np.arctan2, ensuring correct 2D-to-spherical transformations even on older numpy releases. The change reduces downstream errors in analyses that rely on consistent coordinate math and improves cross-version compatibility with minimal risk.
Activity
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Quality Metrics
Correctness95.0%
Maintainability90.0%
Architecture90.0%
Performance90.0%
AI Usage50.0%
Skills & Technologies
Programming Languages
Python
Technical Skills
Data AnalysisGeospatial AnalysisLibrary UpdatesNumPyNumerical ComputingPythonSciPyScientific Computingxarray
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