From f7637b2d2c6ffde36bb54a835b6e9296327e981c Mon Sep 17 00:00:00 2001 From: "github-actions[bot]" Date: Fri, 26 Dec 2025 19:57:07 +0000 Subject: [PATCH 1/3] feat(pygal): implement elbow-curve MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude Opus 4.5 --- plots/elbow-curve/implementations/pygal.py | 71 ++++++++++++++++++++++ 1 file changed, 71 insertions(+) create mode 100644 plots/elbow-curve/implementations/pygal.py diff --git a/plots/elbow-curve/implementations/pygal.py b/plots/elbow-curve/implementations/pygal.py new file mode 100644 index 0000000000..6450f95ba4 --- /dev/null +++ b/plots/elbow-curve/implementations/pygal.py @@ -0,0 +1,71 @@ +"""pyplots.ai +elbow-curve: Elbow Curve for K-Means Clustering +Library: pygal | Python 3.13 +Quality: pending | Created: 2025-12-26 +""" + +import pygal +from pygal.style import Style + + +# Simulated K-means inertia data showing clear elbow at k=4 +# Represents clustering analysis on customer segmentation dataset +k_values = [1, 2, 3, 4, 5, 6, 7, 8, 9, 10] +inertias = [4200, 2100, 1200, 680, 580, 510, 460, 420, 390, 365] + +# Custom style for pyplots +custom_style = Style( + background="white", + plot_background="white", + foreground="#333333", + foreground_strong="#333333", + foreground_subtle="#666666", + colors=("#306998", "#FFD43B", "#E74C3C"), + title_font_size=48, + label_font_size=36, + major_label_font_size=32, + legend_font_size=32, + value_font_size=24, + stroke_width=4, + value_label_font_size=24, + tooltip_font_size=24, +) + +# Create XY chart for line plot with markers +chart = pygal.XY( + width=4800, + height=2700, + style=custom_style, + title="elbow-curve · pygal · pyplots.ai", + x_title="Number of Clusters (k)", + y_title="Inertia (Within-cluster Sum of Squares)", + show_legend=True, + legend_at_bottom=True, + legend_at_bottom_columns=2, + show_x_guides=False, + show_y_guides=True, + dots_size=12, + stroke_style={"width": 4, "linecap": "round", "linejoin": "round"}, + truncate_legend=-1, + x_labels=k_values, + range=(0, max(inertias) * 1.05), + include_x_axis=True, + explicit_size=True, + margin=50, + spacing=30, +) + +# Prepare data as (x, y) tuples +elbow_data = [(k, inertia) for k, inertia in zip(k_values, inertias, strict=True)] + +# Add elbow curve data +chart.add("Inertia", elbow_data, stroke_style={"width": 4}) + +# Highlight optimal elbow point (k=4 based on the generated data) +elbow_k = 4 +elbow_inertia = inertias[elbow_k - 1] +chart.add("Optimal k", [(elbow_k, elbow_inertia)], dots_size=20) + +# Save as PNG and HTML +chart.render_to_png("plot.png") +chart.render_to_file("plot.html") From df4b85830434a3fbc559ea4a0293fba434a62381 Mon Sep 17 00:00:00 2001 From: "github-actions[bot]" Date: Fri, 26 Dec 2025 19:57:22 +0000 Subject: [PATCH 2/3] chore(pygal): add metadata for elbow-curve --- plots/elbow-curve/metadata/pygal.yaml | 19 +++++++++++++++++++ 1 file changed, 19 insertions(+) create mode 100644 plots/elbow-curve/metadata/pygal.yaml diff --git a/plots/elbow-curve/metadata/pygal.yaml b/plots/elbow-curve/metadata/pygal.yaml new file mode 100644 index 0000000000..dd386555ec --- /dev/null +++ b/plots/elbow-curve/metadata/pygal.yaml @@ -0,0 +1,19 @@ +# Per-library metadata for pygal implementation of elbow-curve +# Auto-generated by impl-generate.yml + +library: pygal +specification_id: elbow-curve +created: '2025-12-26T19:57:22Z' +updated: '2025-12-26T19:57:22Z' +generated_by: claude-opus-4-5-20251101 +workflow_run: 20528466148 +issue: 0 +python_version: 3.13.11 +library_version: 3.1.0 +preview_url: https://storage.googleapis.com/pyplots-images/plots/elbow-curve/pygal/plot.png +preview_thumb: https://storage.googleapis.com/pyplots-images/plots/elbow-curve/pygal/plot_thumb.png +preview_html: https://storage.googleapis.com/pyplots-images/plots/elbow-curve/pygal/plot.html +quality_score: null +review: + strengths: [] + weaknesses: [] From e8364f881eedeefea3a69eef06c66800adb378da Mon Sep 17 00:00:00 2001 From: "github-actions[bot]" Date: Fri, 26 Dec 2025 19:59:31 +0000 Subject: [PATCH 3/3] chore(pygal): update quality score 91 and review feedback for elbow-curve --- plots/elbow-curve/implementations/pygal.py | 6 +++--- plots/elbow-curve/metadata/pygal.yaml | 20 +++++++++++++------- 2 files changed, 16 insertions(+), 10 deletions(-) diff --git a/plots/elbow-curve/implementations/pygal.py b/plots/elbow-curve/implementations/pygal.py index 6450f95ba4..24f6347e4e 100644 --- a/plots/elbow-curve/implementations/pygal.py +++ b/plots/elbow-curve/implementations/pygal.py @@ -1,7 +1,7 @@ -"""pyplots.ai +""" pyplots.ai elbow-curve: Elbow Curve for K-Means Clustering -Library: pygal | Python 3.13 -Quality: pending | Created: 2025-12-26 +Library: pygal 3.1.0 | Python 3.13.11 +Quality: 91/100 | Created: 2025-12-26 """ import pygal diff --git a/plots/elbow-curve/metadata/pygal.yaml b/plots/elbow-curve/metadata/pygal.yaml index dd386555ec..3c967c025f 100644 --- a/plots/elbow-curve/metadata/pygal.yaml +++ b/plots/elbow-curve/metadata/pygal.yaml @@ -1,10 +1,7 @@ -# Per-library metadata for pygal implementation of elbow-curve -# Auto-generated by impl-generate.yml - library: pygal specification_id: elbow-curve created: '2025-12-26T19:57:22Z' -updated: '2025-12-26T19:57:22Z' +updated: '2025-12-26T19:59:31Z' generated_by: claude-opus-4-5-20251101 workflow_run: 20528466148 issue: 0 @@ -13,7 +10,16 @@ library_version: 3.1.0 preview_url: https://storage.googleapis.com/pyplots-images/plots/elbow-curve/pygal/plot.png preview_thumb: https://storage.googleapis.com/pyplots-images/plots/elbow-curve/pygal/plot_thumb.png preview_html: https://storage.googleapis.com/pyplots-images/plots/elbow-curve/pygal/plot.html -quality_score: null +quality_score: 91 review: - strengths: [] - weaknesses: [] + strengths: + - Clear visualization of the elbow curve with excellent readability + - Optimal k value (elbow point) is highlighted with a distinct larger yellow marker + - Proper title format and descriptive axis labels with full context + - Clean KISS code structure following pygal best practices + - Good color contrast between the main line and elbow highlight + - Data realistically demonstrates the diminishing returns pattern + weaknesses: + - Legend positioned quite far from the plot area at the bottom + - Could use pygal built-in annotation or tooltip features to enhance the elbow point + indication