UXARRAY/uxarray
Apr 2025 – Feb 2026
3 Months active
Languages Used
Python
Technical Skills
Library UpdatesNumerical ComputingData AnalysisGeospatial AnalysisNumPyPython
Joshua Pan
PROFILE
Joshua Pan
Contributed to the UXARRAY/uxarray repository by developing advanced geospatial data analysis features and improving code stability. Delivered an azimuthal mean radial averaging function, enabling users to compute averages along circles of constant great-circle distance, which supports detailed radial proximity analysis for scientific datasets. Enhanced the user guide with a Jupyter Notebook demonstration focused on tropical cyclone analysis, integrating self-contained demo data and robust test coverage to improve reproducibility. Addressed compatibility issues by updating coordinate transformation logic for older NumPy versions, ensuring reliable 2D-to-spherical conversions. Work emphasized scientific computing, data visualization, and Python, with careful attention to documentation and maintainability.
Overall Statistics
Feature vs Bugs
67%Features
Repository Contributions
3Total
Bugs
1
Commits
3
Features
2
Lines of code
530
Activity Months3
Your Network
11 peopleShared Repositories
11
Work History
February 2026
1 Commits • 1 Features
Feb 1, 2026Concise monthly summary focusing on key accomplishments and business value for February 2026 (2026-02). Highlights include delivering a practical azimuthal averaging workflow for 2D and 3D fields, targeted at tropical cyclone analysis, integrated into UXARRAY/uxarray with accompanying visualizations and calculations. The work strengthens the user guide with concrete examples and improves reproducibility through self-contained demo data and robust test data handling.
1 Commits • 1 Features
Feb 1, 2026Concise monthly summary focusing on key accomplishments and business value for February 2026 (2026-02). Highlights include delivering a practical azimuthal averaging workflow for 2D and 3D fields, targeted at tropical cyclone analysis, integrated into UXARRAY/uxarray with accompanying visualizations and calculations. The work strengthens the user guide with concrete examples and improves reproducibility through self-contained demo data and robust test data handling.
February 2026
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.
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.
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.
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
Activity
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Quality Metrics
Correctness90.0%
Maintainability86.6%
Architecture86.6%
Performance86.6%
AI Usage46.6%
Skills & Technologies
Programming Languages
Python
Technical Skills
Data AnalysisGeospatial AnalysisJupyter NotebooksLibrary UpdatesNumPyNumerical ComputingPythonSciPyScientific Computingdata analysisdata visualizationscientific computingxarray
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