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[ridgeline-basic] Ridgeline plot for distribution comparison #539
Description
Activity
- added a commit that references this issue
on Dec 9, 2025 - changed the title
[-]Ridgeline plot for distribution comparison[/-][+][ridgeline-basic] Ridgeline plot for distribution comparison[/+]on Dec 9, 2025 ✅ Spec Ready:
ridgeline-basicBranch:
plot/ridgeline-basic
Analysis
Why this spec makes sense:
Ridgeline plots are excellent for comparing distributions across multiple categories in a compact, visually striking format. They reveal patterns that would be hard to see in side-by-side histograms or box plots, making them valuable for exploratory data analysis and presentation.Spec-ID reasoning:
ridgeline-basicuses the plot type (ridgeline) as the primary identifier withbasicas the variant since this is the foundational ridgeline implementation without additional modifiers like color mapping or interactivity.Similar existing specs:
histogram-basic- shows single distribution, ridgeline shows multiple distributions stackedbox-basic- compares distributions via summary statistics, ridgeline shows full density shapes
These are related distribution visualization methods but ridgeline offers a unique overlapping density view.
spec.md
# ridgeline-basic: Ridgeline Plot ## Description A ridgeline plot (also known as joy plot) displays multiple overlapping density distributions arranged vertically, allowing effective comparison of distributions across categories. Each distribution is plotted as a filled density curve, slightly overlapping with adjacent rows to create a visually appealing layered effect. This visualization excels at revealing distribution shapes, modes, and shifts across groups. ## Applications - Comparing salary distributions across different job titles to identify compensation patterns - Visualizing temperature distributions across months to show seasonal climate patterns - Showing survey response distributions by demographic groups to understand opinion variations ## Data - `category` (categorical) - grouping variable for vertical arrangement (y-axis labels) - `value` (numeric, continuous) - the variable whose distribution is shown (x-axis) - Size: 5-20 categories, 50-500+ observations per category - Example: Monthly temperature readings with month as category and temperature as value ## Notes - Distributions should overlap slightly (10-30%) for visual appeal without obscuring data - Use semi-transparent fills (alpha 0.6-0.8) to maintain visibility of overlapping areas - Named after the Joy Division album cover "Unknown Pleasures" featuring pulsar radio signals - Consider gradient coloring from bottom to top for additional visual interest - Kernel density estimation (KDE) is typically used to smooth the distributions
Next: Add
approvedlabel to start code generation.
🚀 Implementation Status
Library Status PR Quality matplotlib ✅ Done - - seaborn ✅ Done - - plotnine ✅ Done - - plotly ✅ Done - - bokeh ✅ Done - - altair ✅ Done - - highcharts ✅ Done - - pygal ✅ Done - - letsplot ✅ Done - - ✅ All 9 libraries completed successfully!
✅ seaborn Merged
seaborn implementation for
ridgeline-basichas been merged to the feature branch.PR: #541
- added a commit that references this issue
on Dec 9, 2025 ✅ seaborn Merged
seaborn implementation for
ridgeline-basichas been merged to the feature branch.PR: #541
✅ plotnine Merged
plotnine implementation for
ridgeline-basichas been merged to the feature branch.PR: #543
- added a commit that references this issue
on Dec 9, 2025 ✅ altair Merged
altair implementation for
ridgeline-basichas been merged to the feature branch.PR: #544
4 remaining items
- added a commit that references this issue
on Dec 9, 2025 ✅ plotly Merged
plotly implementation for
ridgeline-basichas been merged to the feature branch.PR: #546
✅ highcharts Merged
highcharts implementation for
ridgeline-basichas been merged to the feature branch.PR: #549
- added a commit that references this issue
on Dec 9, 2025 ✅ highcharts Merged
highcharts implementation for
ridgeline-basichas been merged to the feature branch.PR: #549
✅ plotly Merged
plotly implementation for
ridgeline-basichas been merged to the feature branch.PR: #546
- added a commit that references this issue
on Dec 9, 2025 ✅ matplotlib Merged
matplotlib implementation for
ridgeline-basichas been merged to the feature branch.PR: #542
✅ matplotlib Merged
matplotlib implementation for
ridgeline-basichas been merged to the feature branch.PR: #542
✅ bokeh Merged
bokeh implementation for
ridgeline-basichas been merged to the feature branch.PR: #547
- added a commit that references this issue
on Dec 9, 2025 ✅ bokeh Merged
bokeh implementation for
ridgeline-basichas been merged to the feature branch.PR: #547
- added a commit that references this issue
on Dec 9, 2025 ✅ Implementation Complete
The
ridgeline-basicplot has been successfully implemented!Results
Library Status AI Score matplotlib ✅ Merged 88/100 seaborn ✅ Merged 88/100 plotnine ✅ Merged 88/100 altair ✅ Merged 88/100 plotly ✅ Merged 88/100 bokeh ✅ Merged 88/100 highcharts ✅ Merged 88/100 letsplot ✅ Merged 88/100 pygal ❌ Not feasible - Final PR: #550 (merged to main)
Summary
- 8/9 libraries implemented successfully
- All implementations passed AI quality review (score >= 85)
- Pygal does not support ridgeline/joyplot chart types
🤖 Automated by plot workflows
Description
A ridgeline plot (also known as joy plot) showing multiple overlapping density distributions arranged vertically, allowing comparison of distributions across categories.
Applications
Data
Notes