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base repository: NoahZhao/pythonplot.com
base: master
head repository: tdhopper/pythonplot.com
compare: master
- 19 commits
- 16 files changed
- 4 contributors
Commits on Sep 17, 2020
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Merge pull request tdhopper#20 from nicolaskruchten/px
switch from graph_objects to px
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Commits on Oct 15, 2020
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Commits on Apr 2, 2021
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Commits on Nov 4, 2025
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Modernize Python dependencies to 2025 standards
- Update Python 3.6 → 3.11 in runtime.txt - Create pyproject.toml with modern project metadata - Update all plotting libraries to latest versions: - plotly 4.10 → 5.24+ (no authentication needed) - plotnine → 0.13+ (better ggplot2 compatibility) - altair → 5.0+ (major version bump) - statsmodels 0.11 → 0.14+ (security fixes) - seaborn, pandas, matplotlib to latest - Remove deprecated packages: - altair-saver (use native rendering) - chart-studio (not needed with plotly v5) - duplicate selenium entry - Update rpy2 to 3.5+ for Python 3.11 compatibility 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <[email protected]>
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Add R package setup script for separate R installation
Create setup_r.sh to install required R packages (ggplot2, mgcv) without requiring conda. Works with system R installations via Homebrew, apt, or CRAN. This allows using uv for Python dependencies while maintaining R integration through rpy2 with a separate R installation. 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <[email protected]>
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Migrate build system from conda to uv
- Add 'setup' target to install dependencies with uv - Update 'dev_environment' to use new setup process - Remove 'plotly_auth' target (no longer needed with plotly v5) - Update .PHONY declarations - Add informative messages about conda → uv migration Core build targets (render, qrender, test) remain unchanged. 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <[email protected]>
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Migrate CI/CD from Travis CI to GitHub Actions
Add .github/workflows/deploy.yml with: - R 4.3 setup via r-lib/actions - Python 3.11 setup - uv for dependency installation - Firefox/geckodriver for selenium - xvfb for headless rendering - pytest test execution - Netlify deployment: - Production: master branch - Preview: other branches Required GitHub secrets: - NETLIFY_AUTH_TOKEN - NETLIFY_SITE_ID This modernizes CI from deprecated Travis CI to GitHub Actions with improved caching and faster builds. 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <[email protected]>
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Deprecate plotly authentication script
Mark .travis/authenticate_plotly.py as deprecated with explanation. With plotly v5+, credentials are not required for local rendering. Plotly authentication is only needed for uploading to Chart Studio. This project renders plots locally to PNG using Kaleido, so no authentication is necessary. 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <[email protected]>
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Update documentation for modernized infrastructure
README.md: - Add modern development setup instructions with uv - Document system R installation requirements - Add build commands and CI/CD information - Clarify plotly no longer needs authentication CLAUDE.md: - Update all dependency versions and requirements - Document new uv-based setup process - Add comprehensive CI/CD section - Update technical constraints and configuration files - Add GitHub Actions workflow documentation Both files now reflect Python 3.11+, uv package manager, and GitHub Actions deployment to Netlify. 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <[email protected]>
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Add migration and testing documentation
MIGRATION_NOTES.md: - Comprehensive overview of all changes made - Detailed dependency update table - Next steps and setup instructions - Potential issues and rollback plan - Success criteria checklist TESTING_CHECKLIST.md: - Environment setup verification steps - Build testing procedures - Known migration issues to watch for - CI/CD testing guide - Performance check recommendations These documents provide guidance for the first build with modernized dependencies and help identify compatibility issues. 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <[email protected]>
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Fix default make target for Netlify deployment
Change default 'all' target from 'render s3_upload' to just 'render' since deployment is now handled by Netlify via GitHub Actions. - 'make' or 'make all' now just builds the site - 'make deploy' added for manual S3 upload if needed - S3 upload is legacy, kept for backward compatibility 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <[email protected]>
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Add automatic dependency setup to Makefile
Use Make's dependency system to automatically install dependencies before building. This follows standard Make patterns: - Create .setup_done sentinel file after successful setup - Make render and run_nb depend on .setup_done - Running 'make' will now automatically run setup if needed - Setup only runs once (or after 'make clean') - Add .setup_done to .gitignore Now users can just run 'make' and everything works. 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <[email protected]>
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Switch to uv sync for proper dependency management
Replace `uv pip install -r requirements.txt` with `uv sync` to use modern uv workflow with pyproject.toml: - Use `uv sync` to create venv and install dependencies - Use `uv run` prefix for all Python/Jupyter commands - Remove build-system from pyproject.toml (not a package) - Fix deprecation warning (tool.uv.dev-dependencies → dependency-groups) - Add .venv/ and uv.lock to .gitignore Benefits: - Avoids "externally managed" Python installation errors - Uses proper virtual environment isolation - Follows modern uv best practices - Automatic venv creation and management Tested: `make` now successfully creates venv and installs all Python dependencies. Only requires system R to be installed separately. 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <[email protected]>
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Fix seaborn API compatibility for 0.13+
Replace deprecated 'size' parameter with 'height' in seaborn calls: - sns.lmplot(..., size=12) → height=12 - FacetGrid(..., size=10) → height=10 The 'size' parameter was renamed to 'height' in seaborn 0.11+ and removed entirely in 0.13+. 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <[email protected]>
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Fix all seaborn and Altair compatibility issues
Seaborn fixes (0.13+ compatibility): - Fix remaining FacetGrid size -> height parameters (3 instances) - Update all .pipe(sns.FacetGrid, size=X) calls Altair fixes (5.0+ compatibility): - Add vl-convert-python dependency for PNG export - Update Altair renderer configuration to use 'png' mode with vl-convert - Remove deprecated selenium-based PNG rendering These changes ensure all plotting libraries work with their 2025 versions. 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <[email protected]>
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Add Chrome installation for Kaleido v1 support
Kaleido v1+ requires Chrome for image rendering. Add automatic Chrome installation to setup process: - Update Makefile to run kaleido_get_chrome after uv sync - Update GitHub Actions workflow to install Chrome - Update pyproject.toml to note Kaleido v1+ requirement - Update requirements.txt This ensures Plotly static image export works with Kaleido v1. 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <[email protected]>
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