UXARRAY/uxarray
Apr 2025 – Feb 2026
3 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 and enhancing geospatial data analysis features using Python, NumPy, and SciPy. He implemented an azimuthal mean radial averaging function, enabling users to compute averages along circles of constant great-circle distance, which supports advanced radial proximity analysis. Jipan also created a Jupyter Notebook workflow for azimuthal averaging on 2D and 3D fields, focusing on tropical cyclone analysis with integrated visualizations and reproducible demo data. Additionally, he improved library compatibility by updating coordinate transformation logic for older NumPy versions, ensuring stable and accurate scientific computing workflows across diverse environments and datasets.
Overall Statistics
Feature vs Bugs
67%Features
Repository Contributions
3Total
Bugs
1
Commits
3
Features
2
Lines of code
530
Activity Months3
Your Network
9 peopleWork 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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