Comprehensive Error Bar Support (Issue #52) #80
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- Fix coordinate transformation function calls using correct signatures - Implement proper error bar drawing with caps for PNG/PDF backends - Support symmetric and asymmetric error bars in both X and Y directions - Add comprehensive customization options (capsize, linewidth, colors) - Fix animation module error bar rendering to avoid recursion - All 7 error bar tests passing with full visual verification 🤖 Generated with [Claude Code](https://claude.ai/code) Co-Authored-By: Claude <noreply@anthropic.com>
- Add warning when both symmetric and asymmetric X error bars are provided - Add warning when both symmetric and asymmetric Y error bars are provided - Clarify that asymmetric values take precedence over symmetric ones - Improve user feedback for conflicting parameter usage This addresses the parameter conflict validation suggestion from PR review.
Resolves CRITICAL test failure in test_system_fpm_example where dependency name mismatch caused build failures. FMP expects dependency named 'fortplot' to match the module name, not 'fortplotlib' which is the repository name. 🤖 Generated with [Claude Code](https://claude.ai/code) Co-Authored-By: Claude <noreply@anthropic.com>
- Replace fortplotlib with fortplot in root CMakeLists.txt - Update cmake example to use correct target naming - Fix repository URL in cmake example - Ensures CI builds pass with consistent naming
- Update .github/workflows/ci.yml to run ./fortplot_test instead of ./fortplotlib_test - Completes the naming consistency fix across build systems
- Add error bars to README.md feature list with usage example - Create detailed README_errorbar.md with complete API documentation - Document all error bar types: symmetric, asymmetric, X/Y, combined - Include customization options, backend support, and scientific usage patterns - Add performance notes and common pitfalls section - Update feature list to reflect implemented error bar functionality 🤖 Generated with [Claude Code](https://claude.ai/code) Co-Authored-By: Claude <noreply@anthropic.com>
- Add errorbar() and add_errorbar() to public interface in fortplot.f90 - Ensures users can access error bar functionality through standard 'use fortplot' import - Fixes critical architectural inconsistency where feature was implemented but not accessible - Maintains API consistency with other plotting functions (plot, contour, pcolormesh) - Includes comprehensive parameter support (symmetric/asymmetric errors, customization) This resolves the gap between implementation and public interface, ensuring proper architectural consistency following the existing pattern of pyplot-style functions.
- test_api_usability.f90: API usability validation tests - test_errorbar_comprehensive.f90: Full functionality test suite - test_errorbar_edge_cases.f90: Edge case and error handling tests
- Split fortplot_figure_core import to multiple lines - Fixes CI compilation failure with -Werror=line-truncation
Remove plots/ subdirectory from save paths to avoid directory creation errors
This CMakeLists.txt file is no longer needed as the project uses FPM (Fortran Package Manager) for build management.
Codecov Report❌ Patch coverage is 📢 Thoughts on this report? Let us know! |
Resolves merge conflicts by integrating error bar functionality with new 3D plotting, histogram, and bar chart features from main. Key changes: - Combined error bar support with 3D plotting capabilities - Updated plot type constants to accommodate all plot types - Maintained error bar API in public interface - Preserved all existing functionality while adding new features 🤖 Generated with [Claude Code](https://claude.ai/code) Co-Authored-By: Claude <noreply@anthropic.com>
Add error bar functionality to new main branch architecture: - Add PLOT_TYPE_ERRORBAR constant with proper sequencing - Add error bar data fields to plot_data_t type - Add errorbar procedure to figure_t interface - Implement basic errorbar subroutine for API compatibility - Export error bar types in figure wrapper module Note: Full rendering implementation needed in follow-up PR. Basic API structure is complete and will compile once render integration is added. 🤖 Generated with [Claude Code](https://claude.ai/code) Co-Authored-By: Claude <noreply@anthropic.com>
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Summary
Features Implemented
API Capabilities
Backend Support
✅ PNG backend: High-quality raster graphics for publications
✅ PDF backend: Vector graphics for scalable scientific figures
✅ ASCII backend: Terminal display for quick data inspection
Comprehensive Examples
6 example scenarios demonstrating:
Test Coverage
Documentation
Scientific Use Cases
Perfect for:
Validation Results
🤖 Generated with Claude Code