From 1e5d4ac5efa879ae8e8a95e148a86df305da6186 Mon Sep 17 00:00:00 2001 From: Markus Neusinger <2921697+MarkusNeusinger@users.noreply.github.com> Date: Mon, 23 Feb 2026 14:50:24 +0100 Subject: [PATCH 1/8] =?UTF-8?q?update(band-basic):=20pygal=20=E2=80=94=20c?= =?UTF-8?q?omprehensive=20quality=20review?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit Comprehensive quality review of pygal band-basic implementation. --- plots/band-basic/implementations/pygal.py | 47 ++++++++++++----------- plots/band-basic/metadata/pygal.yaml | 8 ++-- plots/band-basic/specification.md | 2 +- plots/band-basic/specification.yaml | 6 ++- 4 files changed, 34 insertions(+), 29 deletions(-) diff --git a/plots/band-basic/implementations/pygal.py b/plots/band-basic/implementations/pygal.py index 2db84ede7c..4c364fc750 100644 --- a/plots/band-basic/implementations/pygal.py +++ b/plots/band-basic/implementations/pygal.py @@ -1,7 +1,7 @@ -""" pyplots.ai +"""pyplots.ai band-basic: Basic Band Plot -Library: pygal 3.1.0 | Python 3.13.11 -Quality: 88/100 | Created: 2025-12-23 +Library: pygal 3.1.0 | Python 3.14 +Quality: /100 | Updated: 2026-02-23 """ import numpy as np @@ -11,11 +11,17 @@ # Data - Time series with 95% confidence interval np.random.seed(42) -x = np.linspace(0, 10, 50) -# Central trend line (quadratic curve) -y_center = 2 + 0.5 * x + 0.1 * x**2 + np.random.randn(50) * 0.3 -# Smooth the center line -y_center = np.convolve(y_center, np.ones(3) / 3, mode="same") +n_points = 50 +x = np.linspace(0, 10, n_points) +# Central trend line (quadratic curve with noise) +y_raw = 2 + 0.5 * x + 0.1 * x**2 + np.random.randn(n_points) * 0.3 +# Smooth with valid-mode convolution, then pad edges to preserve length +kernel = np.ones(5) / 5 +y_smooth = np.convolve(y_raw, kernel, mode="valid") +# Pad edges with first/last smoothed values to match original length +pad_left = (n_points - len(y_smooth)) // 2 +pad_right = n_points - len(y_smooth) - pad_left +y_center = np.concatenate([np.full(pad_left, y_smooth[0]), y_smooth, np.full(pad_right, y_smooth[-1])]) # Confidence interval widens with x (increasing uncertainty) uncertainty = 0.5 + 0.15 * x y_lower = y_center - uncertainty @@ -28,11 +34,11 @@ foreground="#333333", foreground_strong="#333333", foreground_subtle="#666666", - guide_stroke_color="#888888", # Darker grid lines for better visibility - colors=("#306998", "#FFD43B"), # Blue for band, Yellow for center line - opacity=".65", # Higher opacity for clearly visible band + guide_stroke_color="#AAAAAA", + colors=("#306998", "#E8A317"), + opacity=".65", opacity_hover=".75", - stroke_width=5, # Thicker lines for better visibility + stroke_width=5, title_font_size=60, label_font_size=42, major_label_font_size=42, @@ -40,12 +46,12 @@ value_font_size=36, ) -# Create XY chart for precise coordinate control +# Create XY chart with fill enabled for area rendering chart = pygal.XY( style=custom_style, width=4800, height=2700, - title="95% Confidence Interval · band-basic · pygal · pyplots.ai", + title="band-basic \u00b7 pygal \u00b7 pyplots.ai", x_title="Time (s)", y_title="Measurement Value", show_dots=False, @@ -58,21 +64,16 @@ ) # Create band as a closed polygon: upper boundary forward, then lower backward -# Using fill only (no stroke) to avoid visual artifacts at polygon edges -band_polygon = [] -# Upper boundary (forward) -for xi, yi in zip(x, y_upper, strict=True): - band_polygon.append((float(xi), float(yi))) -# Lower boundary (backward to close the polygon smoothly) +band_polygon = [(float(xi), float(yi)) for xi, yi in zip(x, y_upper, strict=True)] for xi, yi in zip(reversed(x), reversed(y_lower), strict=True): band_polygon.append((float(xi), float(yi))) -chart.add("Confidence Band", band_polygon, stroke=False) +chart.add("Confidence Band", band_polygon, stroke_style={"width": 0.1}, show_dots=False) -# Add center line (no fill, just stroke) - using a contrasting color +# Add center line (no fill, just stroke) center_data = [(float(xi), float(yi)) for xi, yi in zip(x, y_center, strict=True)] chart.add("Central Trend", center_data, fill=False, stroke=True, dots_size=0, stroke_style={"width": 6}) -# Save outputs +# Save chart.render_to_png("plot.png") chart.render_to_file("plot.html") diff --git a/plots/band-basic/metadata/pygal.yaml b/plots/band-basic/metadata/pygal.yaml index 3da64dc580..2bad32e0c2 100644 --- a/plots/band-basic/metadata/pygal.yaml +++ b/plots/band-basic/metadata/pygal.yaml @@ -1,16 +1,16 @@ library: pygal specification_id: band-basic created: '2025-12-23T09:10:07Z' -updated: '2025-12-23T09:33:20Z' -generated_by: claude-opus-4-5-20251101 +updated: '2026-02-23T13:44:00Z' +generated_by: claude-opus-4-6 workflow_run: 20456388584 issue: 0 -python_version: 3.13.11 +python_version: '3.14' library_version: 3.1.0 preview_url: https://storage.googleapis.com/pyplots-images/plots/band-basic/pygal/plot.png preview_thumb: https://storage.googleapis.com/pyplots-images/plots/band-basic/pygal/plot_thumb.png preview_html: https://storage.googleapis.com/pyplots-images/plots/band-basic/pygal/plot.html -quality_score: 88 +quality_score: null impl_tags: dependencies: [] techniques: diff --git a/plots/band-basic/specification.md b/plots/band-basic/specification.md index 4614c2a26c..a18f9caee9 100644 --- a/plots/band-basic/specification.md +++ b/plots/band-basic/specification.md @@ -16,7 +16,7 @@ A band plot displays a filled region between two boundary lines, commonly used t - `x` (numeric) - Independent variable, often representing time or sequence - `y_lower` (numeric) - Lower boundary values defining the bottom of the band - `y_upper` (numeric) - Upper boundary values defining the top of the band -- `y_center` (numeric, optional) - Central trend line values (mean/median) +- `y_center` (numeric) - Central trend line values (mean/median), shown as a contrasting line - Size: 20-200 data points - Example: Time series with 95% confidence interval bounds diff --git a/plots/band-basic/specification.yaml b/plots/band-basic/specification.yaml index c239433ec4..76a86a91e9 100644 --- a/plots/band-basic/specification.yaml +++ b/plots/band-basic/specification.yaml @@ -6,7 +6,7 @@ title: Basic Band Plot # Specification tracking created: 2025-12-15T20:42:54Z -updated: 2025-12-15T20:42:54Z +updated: 2026-02-23T12:00:00Z issue: 979 suggested: MarkusNeusinger @@ -18,10 +18,14 @@ tags: data_type: - numeric - continuous + - timeseries domain: - statistics - science + - general + - engineering features: - basic - confidence-interval - uncertainty + - 2d From 0276286c91aab51b3014a9054db73525818bb7eb Mon Sep 17 00:00:00 2001 From: "github-actions[bot]" Date: Mon, 23 Feb 2026 13:54:48 +0000 Subject: [PATCH 2/8] chore(pygal): update quality score 78 and review feedback for band-basic --- plots/band-basic/implementations/pygal.py | 4 +- plots/band-basic/metadata/pygal.yaml | 225 ++++++++++++++++++++-- 2 files changed, 211 insertions(+), 18 deletions(-) diff --git a/plots/band-basic/implementations/pygal.py b/plots/band-basic/implementations/pygal.py index 4c364fc750..69af236129 100644 --- a/plots/band-basic/implementations/pygal.py +++ b/plots/band-basic/implementations/pygal.py @@ -1,7 +1,7 @@ -"""pyplots.ai +""" pyplots.ai band-basic: Basic Band Plot Library: pygal 3.1.0 | Python 3.14 -Quality: /100 | Updated: 2026-02-23 +Quality: 78/100 | Updated: 2026-02-23 """ import numpy as np diff --git a/plots/band-basic/metadata/pygal.yaml b/plots/band-basic/metadata/pygal.yaml index 2bad32e0c2..1381f28ec1 100644 --- a/plots/band-basic/metadata/pygal.yaml +++ b/plots/band-basic/metadata/pygal.yaml @@ -1,7 +1,7 @@ library: pygal specification_id: band-basic created: '2025-12-23T09:10:07Z' -updated: '2026-02-23T13:44:00Z' +updated: '2026-02-23T13:54:48Z' generated_by: claude-opus-4-6 workflow_run: 20456388584 issue: 0 @@ -10,29 +10,222 @@ library_version: 3.1.0 preview_url: https://storage.googleapis.com/pyplots-images/plots/band-basic/pygal/plot.png preview_thumb: https://storage.googleapis.com/pyplots-images/plots/band-basic/pygal/plot_thumb.png preview_html: https://storage.googleapis.com/pyplots-images/plots/band-basic/pygal/plot.html -quality_score: null +quality_score: 78 impl_tags: dependencies: [] techniques: - html-export patterns: - data-generation - - iteration-over-groups - dataprep: [] + dataprep: + - rolling-window styling: - alpha-blending + - grid-styling review: strengths: - - Excellent color contrast between blue band and yellow center line, colorblind-safe - palette - - Creative polygon approach to create band effect in pygal which lacks native fill_between - - Widening confidence interval clearly demonstrates increasing uncertainty over - time - - Clean, readable code following KISS principles with proper seed for reproducibility - - Proper axis labels with units and descriptive legend + - Creative polygon approach to simulate band plot in pygal which lacks native fill_between + support + - Clean colorblind-safe color palette (blue + gold) with good contrast + - Widening confidence band effectively communicates increasing uncertainty + - Perfect code quality with clean structure and reproducibility + - Correct title format and descriptive legend labels weaknesses: - - Visual artifact at right edge where the polygon closes creates a sharp triangular - taper - - 'Title format should start with spec-id pattern: band-basic · 95% Confidence Interval - · pygal · pyplots.ai' - - Grid lines are quite light/subtle, could be more visible for reference + - Band opacity (0.65) is too high — spec recommends 0.2-0.4 for semi-transparency + - Generic data context (Measurement Value) without a specific real-world scenario + - Central trend line could be more prominent against the band fill + - Design stays at configured-default level without reaching publication quality + - Monotonic quadratic growth is somewhat predictable — more interesting data features + would improve storytelling + image_description: The plot displays a band chart on a white background with the + title "band-basic · pygal · pyplots.ai" at the top. The x-axis is labeled "Time + (s)" ranging from 0 to 10, and the y-axis is labeled "Measurement Value" ranging + from approximately 2 to 17. A blue semi-transparent filled polygon forms the confidence + band, which widens progressively from left to right, indicating increasing uncertainty + over time. A yellow/gold central trend line runs through the middle of the band, + following a smooth quadratic growth curve. Subtle gray grid lines are visible + through the semi-transparent band. The legend at the bottom shows "Confidence + Band" (blue) and "Central Trend" (gold). The overall layout is clean with balanced + margins and good canvas utilization. + criteria_checklist: + visual_quality: + score: 27 + max: 30 + items: + - id: VQ-01 + name: Text Legibility + score: 7 + max: 8 + passed: true + comment: All font sizes explicitly set (title=60, labels=42, legend=42, value=36). + Text clearly readable. Minor deduction for pygal monospace-style font rendering. + - id: VQ-02 + name: No Overlap + score: 6 + max: 6 + passed: true + comment: No overlapping text elements. Title, axis labels, tick marks, and + legend all well separated. + - id: VQ-03 + name: Element Visibility + score: 5 + max: 6 + passed: true + comment: Confidence band clearly visible as filled polygon. Central trend + line distinguishable but could be slightly more prominent against the band + fill. + - id: VQ-04 + name: Color Accessibility + score: 4 + max: 4 + passed: true + comment: Blue (#306998) and gold (#E8A317) palette is colorblind-safe with + excellent contrast. + - id: VQ-05 + name: Layout & Canvas + score: 3 + max: 4 + passed: true + comment: Good canvas utilization with balanced margins. Legend at bottom well + placed. Minor wasted space in upper-left region. + - id: VQ-06 + name: Axis Labels & Title + score: 2 + max: 2 + passed: true + comment: X-axis 'Time (s)' includes units. Y-axis 'Measurement Value' is descriptive + for synthetic context. + design_excellence: + score: 10 + max: 20 + items: + - id: DE-01 + name: Aesthetic Sophistication + score: 4 + max: 8 + passed: true + comment: Custom two-color palette, white background, explicit font sizing. + Looks like well-configured library default, not publication-quality. + - id: DE-02 + name: Visual Refinement + score: 3 + max: 6 + passed: true + comment: White background, subtle gray grid, custom stroke width. Some refinement + above defaults but no spine removal or advanced whitespace management. + - id: DE-03 + name: Data Storytelling + score: 3 + max: 6 + passed: true + comment: Widening band communicates increasing uncertainty. Color contrast + provides hierarchy. Falls short of exceptional storytelling. + spec_compliance: + score: 14 + max: 15 + items: + - id: SC-01 + name: Plot Type + score: 5 + max: 5 + passed: true + comment: Correct band/area plot with filled region between boundaries and + central trend line. + - id: SC-02 + name: Required Features + score: 3 + max: 4 + passed: true + comment: Semi-transparent fill, central line in contrasting color, smooth + data. Opacity 0.65 exceeds spec-recommended 0.2-0.4 range. + - id: SC-03 + name: Data Mapping + score: 3 + max: 3 + passed: true + comment: X=time, Y defines bounds and center. All correctly mapped. + - id: SC-04 + name: Title & Legend + score: 3 + max: 3 + passed: true + comment: Title format correct. Legend labels descriptive and accurate. + data_quality: + score: 12 + max: 15 + items: + - id: DQ-01 + name: Feature Coverage + score: 5 + max: 6 + passed: true + comment: Shows filled band, central trend, widening confidence interval, quadratic + growth, smoothed data. Could show more interesting features. + - id: DQ-02 + name: Realistic Context + score: 3 + max: 5 + passed: true + comment: Generic but plausible scientific measurement context. No specific + real-world scenario. + - id: DQ-03 + name: Appropriate Scale + score: 4 + max: 4 + passed: true + comment: Values 2-17 over 10 seconds with growing uncertainty. Sensible for + generic measurement data. + code_quality: + score: 10 + max: 10 + items: + - id: CQ-01 + name: KISS Structure + score: 3 + max: 3 + passed: true + comment: 'Clean linear flow: Imports, Data, Style, Chart, Add series, Save. + No functions or classes.' + - id: CQ-02 + name: Reproducibility + score: 2 + max: 2 + passed: true + comment: np.random.seed(42) set at the beginning. + - id: CQ-03 + name: Clean Imports + score: 2 + max: 2 + passed: true + comment: Only numpy, pygal, and pygal.style.Style imported — all used. + - id: CQ-04 + name: Code Elegance + score: 2 + max: 2 + passed: true + comment: Creative polygon approach. Appropriate complexity. No fake functionality. + - id: CQ-05 + name: Output & API + score: 1 + max: 1 + passed: true + comment: Saves as plot.png via render_to_png(). Current pygal API. + library_mastery: + score: 5 + max: 10 + items: + - id: LM-01 + name: Idiomatic Usage + score: 3 + max: 5 + passed: true + comment: Uses pygal.XY, Style class, chart.add(), fill=True, render_to_png(). + Polygon technique is a necessary workaround. + - id: LM-02 + name: Distinctive Features + score: 2 + max: 5 + passed: true + comment: Uses pygal Style class, HTML export, fill mode, per-series stroke_style. + Pygal-specific but not deeply distinctive. + verdict: REJECTED From 0dd9275a724d97a8c9705748a3ddcfb5a47c00ba Mon Sep 17 00:00:00 2001 From: "github-actions[bot]" Date: Mon, 23 Feb 2026 13:58:18 +0000 Subject: [PATCH 3/8] fix(pygal): address review feedback for band-basic Attempt 1/3 - fixes based on AI review --- plots/band-basic/implementations/pygal.py | 83 ++++++++++++++--------- 1 file changed, 50 insertions(+), 33 deletions(-) diff --git a/plots/band-basic/implementations/pygal.py b/plots/band-basic/implementations/pygal.py index 69af236129..4224a12b70 100644 --- a/plots/band-basic/implementations/pygal.py +++ b/plots/band-basic/implementations/pygal.py @@ -1,7 +1,6 @@ -""" pyplots.ai +"""pyplots.ai band-basic: Basic Band Plot Library: pygal 3.1.0 | Python 3.14 -Quality: 78/100 | Updated: 2026-02-23 """ import numpy as np @@ -9,70 +8,88 @@ from pygal.style import Style -# Data - Time series with 95% confidence interval +# Data - Soil moisture sensor readings with 95% confidence interval np.random.seed(42) -n_points = 50 -x = np.linspace(0, 10, n_points) -# Central trend line (quadratic curve with noise) -y_raw = 2 + 0.5 * x + 0.1 * x**2 + np.random.randn(n_points) * 0.3 -# Smooth with valid-mode convolution, then pad edges to preserve length -kernel = np.ones(5) / 5 +n_points = 80 +hours = np.linspace(0, 48, n_points) + +# Realistic soil moisture pattern: starts high after rain, drops during day, +# recovers slightly at night, then dips to a low before a second rain event +base_trend = 38 - 0.3 * hours + 4.0 * np.sin(2 * np.pi * hours / 24) + 8.0 * np.exp(-((hours - 40) ** 2) / 8) +noise = np.random.randn(n_points) * 0.6 +y_raw = base_trend + noise + +# Smooth with convolution, padding edges to preserve length +kernel = np.ones(7) / 7 y_smooth = np.convolve(y_raw, kernel, mode="valid") -# Pad edges with first/last smoothed values to match original length pad_left = (n_points - len(y_smooth)) // 2 pad_right = n_points - len(y_smooth) - pad_left y_center = np.concatenate([np.full(pad_left, y_smooth[0]), y_smooth, np.full(pad_right, y_smooth[-1])]) -# Confidence interval widens with x (increasing uncertainty) -uncertainty = 0.5 + 0.15 * x + +# Confidence interval: wider during dry spell, narrower after rain +uncertainty = 1.2 + 0.8 * np.sin(2 * np.pi * hours / 24) ** 2 + 0.04 * hours y_lower = y_center - uncertainty y_upper = y_center + uncertainty -# Custom style for 4800x2700 canvas +# Custom style — refined palette with low-opacity band custom_style = Style( background="white", plot_background="white", - foreground="#333333", - foreground_strong="#333333", - foreground_subtle="#666666", - guide_stroke_color="#AAAAAA", - colors=("#306998", "#E8A317"), - opacity=".65", - opacity_hover=".75", - stroke_width=5, + foreground="#2C3E50", + foreground_strong="#1A252F", + foreground_subtle="#BDC3C7", + guide_stroke_color="#E0E0E0", + colors=("#306998", "#D4880F"), + opacity=".30", + opacity_hover=".45", + stroke_width=4, title_font_size=60, label_font_size=42, major_label_font_size=42, legend_font_size=42, value_font_size=36, + value_colors=("transparent",), + tooltip_font_size=32, + major_guide_stroke_dasharray="6,3", ) -# Create XY chart with fill enabled for area rendering +# Create XY chart chart = pygal.XY( style=custom_style, width=4800, height=2700, title="band-basic \u00b7 pygal \u00b7 pyplots.ai", - x_title="Time (s)", - y_title="Measurement Value", + x_title="Time (hours)", + y_title="Soil Moisture (%)", show_dots=False, - show_x_guides=True, + show_x_guides=False, show_y_guides=True, fill=True, stroke=True, legend_at_bottom=True, truncate_legend=-1, + x_label_rotation=0, + range=(min(y_lower) - 1, max(y_upper) + 2), + x_labels=[0, 6, 12, 18, 24, 30, 36, 42, 48], + x_labels_major=[0, 12, 24, 36, 48], + show_minor_x_labels=True, + show_minor_y_labels=True, + print_values=False, + formatter=lambda x: f"{x:.1f}%", + tooltip_border_radius=6, + js=[], ) -# Create band as a closed polygon: upper boundary forward, then lower backward -band_polygon = [(float(xi), float(yi)) for xi, yi in zip(x, y_upper, strict=True)] -for xi, yi in zip(reversed(x), reversed(y_lower), strict=True): - band_polygon.append((float(xi), float(yi))) +# Band as closed polygon: upper boundary forward, then lower boundary reversed +band_polygon = [(float(h), float(y)) for h, y in zip(hours, y_upper, strict=True)] +for h, y in zip(reversed(hours), reversed(y_lower), strict=True): + band_polygon.append((float(h), float(y))) -chart.add("Confidence Band", band_polygon, stroke_style={"width": 0.1}, show_dots=False) +chart.add("95% Confidence Band", band_polygon, stroke_style={"width": 0.5, "dasharray": "0"}, show_dots=False) -# Add center line (no fill, just stroke) -center_data = [(float(xi), float(yi)) for xi, yi in zip(x, y_center, strict=True)] -chart.add("Central Trend", center_data, fill=False, stroke=True, dots_size=0, stroke_style={"width": 6}) +# Central trend line — thicker stroke, no fill, contrasting gold +center_data = [(float(h), float(y)) for h, y in zip(hours, y_center, strict=True)] +chart.add("Sensor Mean", center_data, fill=False, stroke=True, dots_size=0, stroke_style={"width": 8}) # Save chart.render_to_png("plot.png") From ea503a0c9615c4bddd670ce7bf0a5dc33d1e5b9f Mon Sep 17 00:00:00 2001 From: "github-actions[bot]" Date: Mon, 23 Feb 2026 14:06:30 +0000 Subject: [PATCH 4/8] chore(pygal): update quality score 85 and review feedback for band-basic --- plots/band-basic/implementations/pygal.py | 3 +- plots/band-basic/metadata/pygal.yaml | 154 +++++++++++----------- 2 files changed, 81 insertions(+), 76 deletions(-) diff --git a/plots/band-basic/implementations/pygal.py b/plots/band-basic/implementations/pygal.py index 4224a12b70..ebbf8a877a 100644 --- a/plots/band-basic/implementations/pygal.py +++ b/plots/band-basic/implementations/pygal.py @@ -1,6 +1,7 @@ -"""pyplots.ai +""" pyplots.ai band-basic: Basic Band Plot Library: pygal 3.1.0 | Python 3.14 +Quality: 85/100 | Updated: 2026-02-23 """ import numpy as np diff --git a/plots/band-basic/metadata/pygal.yaml b/plots/band-basic/metadata/pygal.yaml index 1381f28ec1..2466bb04cd 100644 --- a/plots/band-basic/metadata/pygal.yaml +++ b/plots/band-basic/metadata/pygal.yaml @@ -1,7 +1,7 @@ library: pygal specification_id: band-basic created: '2025-12-23T09:10:07Z' -updated: '2026-02-23T13:54:48Z' +updated: '2026-02-23T14:06:29Z' generated_by: claude-opus-4-6 workflow_run: 20456388584 issue: 0 @@ -10,7 +10,7 @@ library_version: 3.1.0 preview_url: https://storage.googleapis.com/pyplots-images/plots/band-basic/pygal/plot.png preview_thumb: https://storage.googleapis.com/pyplots-images/plots/band-basic/pygal/plot_thumb.png preview_html: https://storage.googleapis.com/pyplots-images/plots/band-basic/pygal/plot.html -quality_score: 78 +quality_score: 85 impl_tags: dependencies: [] techniques: @@ -24,29 +24,33 @@ impl_tags: - grid-styling review: strengths: - - Creative polygon approach to simulate band plot in pygal which lacks native fill_between - support - - Clean colorblind-safe color palette (blue + gold) with good contrast - - Widening confidence band effectively communicates increasing uncertainty - - Perfect code quality with clean structure and reproducibility - - Correct title format and descriptive legend labels + - 'Excellent data quality improvement: realistic soil moisture scenario with diurnal + cycles and rain events replaces generic measurement data' + - Opacity fixed to 0.30, now within spec-recommended range (was 0.65 in attempt + 1) + - Creative polygon technique for band rendering in pygal, which lacks native fill_between + - Clean, well-commented code with perfect structure and reproducibility + - Full spec compliance with correct title format, descriptive legend, and all required + features weaknesses: - - Band opacity (0.65) is too high — spec recommends 0.2-0.4 for semi-transparency - - Generic data context (Measurement Value) without a specific real-world scenario - - Central trend line could be more prominent against the band fill - - Design stays at configured-default level without reaching publication quality - - Monotonic quadratic growth is somewhat predictable — more interesting data features - would improve storytelling - image_description: The plot displays a band chart on a white background with the - title "band-basic · pygal · pyplots.ai" at the top. The x-axis is labeled "Time - (s)" ranging from 0 to 10, and the y-axis is labeled "Measurement Value" ranging - from approximately 2 to 17. A blue semi-transparent filled polygon forms the confidence - band, which widens progressively from left to right, indicating increasing uncertainty - over time. A yellow/gold central trend line runs through the middle of the band, - following a smooth quadratic growth curve. Subtle gray grid lines are visible - through the semi-transparent band. The legend at the bottom shows "Confidence - Band" (blue) and "Central Trend" (gold). The overall layout is clean with balanced - margins and good canvas utilization. + - Design Excellence remains the primary gap — pygal rendering constraints limit + typographic and visual refinement options + - Center trend line could be more visually prominent to strengthen the band-vs-trend + hierarchy + - Library mastery limited by pygal relatively narrow feature set for this plot type + image_description: The plot shows a band chart on a white background with the title + "band-basic · pygal · pyplots.ai" at the top in dark text. The x-axis is labeled + "Time (hours)" ranging from 0 to 48 with major ticks at 0, 12, 24, 36, 48 and + minor ticks at 6, 18, 30, 42. The y-axis is labeled "Soil Moisture (%)" ranging + from approximately 20 to 44. A light blue semi-transparent filled polygon forms + the 95% confidence band, starting wide around 38-42% at hour 0, dipping to ~26-32% + around hours 12-18, recovering around hours 24-30, then dropping again toward + ~20-26% at hour 48. The band width increases over time, communicating growing + uncertainty. A gold/amber central trend line runs through the band showing the + sensor mean, with visible diurnal cycling. Subtle horizontal gray grid lines are + visible through the transparent band. The legend at the bottom shows "95% Confidence + Band" (blue square) and "Sensor Mean" (gold square). Overall layout is clean with + white background and balanced margins. criteria_checklist: visual_quality: score: 27 @@ -57,71 +61,71 @@ review: score: 7 max: 8 passed: true - comment: All font sizes explicitly set (title=60, labels=42, legend=42, value=36). - Text clearly readable. Minor deduction for pygal monospace-style font rendering. + comment: All font sizes explicitly set (title=60, label=42, major_label=42, + legend=42, value=36). Readable at 4800x2700. Minor deduction for pygal monospace + font rendering. - id: VQ-02 name: No Overlap score: 6 max: 6 passed: true - comment: No overlapping text elements. Title, axis labels, tick marks, and - legend all well separated. + comment: No overlapping text. X-axis labels well-spaced, legend at bottom + separate from data. - id: VQ-03 name: Element Visibility score: 5 max: 6 passed: true - comment: Confidence band clearly visible as filled polygon. Central trend - line distinguishable but could be slightly more prominent against the band - fill. + comment: Band polygon clearly visible at 30% opacity. Gold center line distinguishable + but could be more prominent at this canvas scale. - id: VQ-04 name: Color Accessibility score: 4 max: 4 passed: true - comment: Blue (#306998) and gold (#E8A317) palette is colorblind-safe with - excellent contrast. + comment: Blue (#306998) and gold (#D4880F) colorblind-safe with strong luminance + contrast. - id: VQ-05 name: Layout & Canvas score: 3 max: 4 passed: true - comment: Good canvas utilization with balanced margins. Legend at bottom well - placed. Minor wasted space in upper-left region. + comment: Good canvas utilization. Legend well-placed. Minor wasted space in + top-right region. - id: VQ-06 name: Axis Labels & Title score: 2 max: 2 passed: true - comment: X-axis 'Time (s)' includes units. Y-axis 'Measurement Value' is descriptive - for synthetic context. + comment: 'Both axes have descriptive labels with units: Time (hours) and Soil + Moisture (%).' design_excellence: - score: 10 + score: 12 max: 20 items: - id: DE-01 name: Aesthetic Sophistication - score: 4 + score: 5 max: 8 passed: true - comment: Custom two-color palette, white background, explicit font sizing. - Looks like well-configured library default, not publication-quality. + comment: Custom two-color palette, intentional foreground hierarchy, subtle + guide stroke. Above defaults but not publication-ready. - id: DE-02 name: Visual Refinement score: 3 max: 6 passed: true - comment: White background, subtle gray grid, custom stroke width. Some refinement - above defaults but no spine removal or advanced whitespace management. + comment: White background, subtle y-guides with custom color and dash pattern, + hidden x-guides and value labels. Some refinement but limited by pygal. - id: DE-03 name: Data Storytelling - score: 3 + score: 4 max: 6 passed: true - comment: Widening band communicates increasing uncertainty. Color contrast - provides hierarchy. Falls short of exceptional storytelling. + comment: Data tells clear story with diurnal cycles, rain events, and growing + uncertainty. Gold vs blue creates hierarchy. Natural focal points. spec_compliance: - score: 14 + score: 15 max: 15 items: - id: SC-01 @@ -129,52 +133,52 @@ review: score: 5 max: 5 passed: true - comment: Correct band/area plot with filled region between boundaries and - central trend line. + comment: Correct band plot with polygon technique for filled region and central + trend line. - id: SC-02 name: Required Features - score: 3 + score: 4 max: 4 passed: true - comment: Semi-transparent fill, central line in contrasting color, smooth - data. Opacity 0.65 exceeds spec-recommended 0.2-0.4 range. + comment: Opacity 0.30 within spec range, contrasting center line, 80 points, + smooth interpolation. - id: SC-03 name: Data Mapping score: 3 max: 3 passed: true - comment: X=time, Y defines bounds and center. All correctly mapped. + comment: X=time, Y=soil moisture. Upper/lower/center correctly mapped with + explicit range. - id: SC-04 name: Title & Legend score: 3 max: 3 passed: true - comment: Title format correct. Legend labels descriptive and accurate. + comment: Title follows exact format. Legend labels descriptive and accurate. data_quality: - score: 12 + score: 15 max: 15 items: - id: DQ-01 name: Feature Coverage - score: 5 + score: 6 max: 6 passed: true - comment: Shows filled band, central trend, widening confidence interval, quadratic - growth, smoothed data. Could show more interesting features. + comment: Filled band, central trend, varying width, diurnal cycles, downward + trend, rain event recovery. - id: DQ-02 name: Realistic Context - score: 3 + score: 5 max: 5 passed: true - comment: Generic but plausible scientific measurement context. No specific - real-world scenario. + comment: Soil moisture sensor readings with 95% CI — real, neutral scientific + scenario. - id: DQ-03 name: Appropriate Scale score: 4 max: 4 passed: true - comment: Values 2-17 over 10 seconds with growing uncertainty. Sensible for - generic measurement data. + comment: Soil moisture 20-42% over 48 hours is realistic for sensor measurements. code_quality: score: 10 max: 10 @@ -184,26 +188,26 @@ review: score: 3 max: 3 passed: true - comment: 'Clean linear flow: Imports, Data, Style, Chart, Add series, Save. - No functions or classes.' + comment: 'Clean linear flow: imports, data, style, chart, series, save.' - id: CQ-02 name: Reproducibility score: 2 max: 2 passed: true - comment: np.random.seed(42) set at the beginning. + comment: np.random.seed(42) set at top. - id: CQ-03 name: Clean Imports score: 2 max: 2 passed: true - comment: Only numpy, pygal, and pygal.style.Style imported — all used. + comment: Only numpy, pygal, Style imported — all used. - id: CQ-04 name: Code Elegance score: 2 max: 2 passed: true - comment: Creative polygon approach. Appropriate complexity. No fake functionality. + comment: Well-structured polygon approach. Appropriately complex data generation. + No fake functionality. - id: CQ-05 name: Output & API score: 1 @@ -211,21 +215,21 @@ review: passed: true comment: Saves as plot.png via render_to_png(). Current pygal API. library_mastery: - score: 5 + score: 6 max: 10 items: - id: LM-01 name: Idiomatic Usage - score: 3 + score: 4 max: 5 passed: true - comment: Uses pygal.XY, Style class, chart.add(), fill=True, render_to_png(). - Polygon technique is a necessary workaround. + comment: 'Solid pygal usage: XY chart, Style class, per-series options, major/minor + labels, range, formatter, legend config.' - id: LM-02 name: Distinctive Features score: 2 max: 5 - passed: true - comment: Uses pygal Style class, HTML export, fill mode, per-series stroke_style. - Pygal-specific but not deeply distinctive. + passed: false + comment: Uses pygal-specific Style class, stroke_style dicts, opacity config, + value_colors. Pygal-specific but not deeply unique. verdict: REJECTED From 70d406d2884f594c74e4c3b09e18353fea6ff08e Mon Sep 17 00:00:00 2001 From: "github-actions[bot]" Date: Mon, 23 Feb 2026 14:16:40 +0000 Subject: [PATCH 5/8] fix(pygal): address review feedback for band-basic Attempt 2/3 - fixes based on AI review --- plots/band-basic/implementations/pygal.py | 41 ++++++++++++++--------- 1 file changed, 26 insertions(+), 15 deletions(-) diff --git a/plots/band-basic/implementations/pygal.py b/plots/band-basic/implementations/pygal.py index ebbf8a877a..163cab1ed9 100644 --- a/plots/band-basic/implementations/pygal.py +++ b/plots/band-basic/implementations/pygal.py @@ -1,7 +1,6 @@ -""" pyplots.ai +"""pyplots.ai band-basic: Basic Band Plot Library: pygal 3.1.0 | Python 3.14 -Quality: 85/100 | Updated: 2026-02-23 """ import numpy as np @@ -32,17 +31,22 @@ y_lower = y_center - uncertainty y_upper = y_center + uncertainty -# Custom style — refined palette with low-opacity band +# Custom style — polished palette with strong band-vs-trend color hierarchy custom_style = Style( background="white", plot_background="white", foreground="#2C3E50", foreground_strong="#1A252F", - foreground_subtle="#BDC3C7", - guide_stroke_color="#E0E0E0", - colors=("#306998", "#D4880F"), - opacity=".30", - opacity_hover=".45", + foreground_subtle="#95A5A6", + guide_stroke_color="#ECECEC", + guide_stroke_dasharray="2,6", + major_guide_stroke_color="#D5D5D5", + major_guide_stroke_dasharray="4,4", + colors=("#306998", "#B8860B"), + opacity=".20", + opacity_hover=".35", + stroke_opacity="1", + stroke_opacity_hover="1", stroke_width=4, title_font_size=60, label_font_size=42, @@ -51,14 +55,14 @@ value_font_size=36, value_colors=("transparent",), tooltip_font_size=32, - major_guide_stroke_dasharray="6,3", ) -# Create XY chart +# Create XY chart with fine-tuned layout and pygal-specific formatters chart = pygal.XY( style=custom_style, width=4800, height=2700, + explicit_size=True, title="band-basic \u00b7 pygal \u00b7 pyplots.ai", x_title="Time (hours)", y_title="Soil Moisture (%)", @@ -68,6 +72,7 @@ fill=True, stroke=True, legend_at_bottom=True, + legend_box_size=28, truncate_legend=-1, x_label_rotation=0, range=(min(y_lower) - 1, max(y_upper) + 2), @@ -76,8 +81,14 @@ show_minor_x_labels=True, show_minor_y_labels=True, print_values=False, - formatter=lambda x: f"{x:.1f}%", - tooltip_border_radius=6, + x_value_formatter=lambda x: f"{x:.0f}h", + value_formatter=lambda x: f"{x:.1f}%", + tooltip_border_radius=8, + margin_top=30, + margin_bottom=50, + margin_left=30, + margin_right=50, + spacing=18, js=[], ) @@ -86,11 +97,11 @@ for h, y in zip(reversed(hours), reversed(y_lower), strict=True): band_polygon.append((float(h), float(y))) -chart.add("95% Confidence Band", band_polygon, stroke_style={"width": 0.5, "dasharray": "0"}, show_dots=False) +chart.add("95% Confidence Band", band_polygon, stroke_style={"width": 1.0, "dasharray": "0"}, show_dots=False) -# Central trend line — thicker stroke, no fill, contrasting gold +# Central trend line — bold stroke, no fill, contrasting dark goldenrod center_data = [(float(h), float(y)) for h, y in zip(hours, y_center, strict=True)] -chart.add("Sensor Mean", center_data, fill=False, stroke=True, dots_size=0, stroke_style={"width": 8}) +chart.add("Sensor Mean", center_data, fill=False, stroke=True, dots_size=0, stroke_style={"width": 32}) # Save chart.render_to_png("plot.png") From 2554233770405f0137463565ff0baab140313995 Mon Sep 17 00:00:00 2001 From: "github-actions[bot]" Date: Mon, 23 Feb 2026 14:24:21 +0000 Subject: [PATCH 6/8] chore(pygal): update quality score 85 and review feedback for band-basic --- plots/band-basic/implementations/pygal.py | 3 +- plots/band-basic/metadata/pygal.yaml | 129 +++++++++++----------- 2 files changed, 68 insertions(+), 64 deletions(-) diff --git a/plots/band-basic/implementations/pygal.py b/plots/band-basic/implementations/pygal.py index 163cab1ed9..6da68214c7 100644 --- a/plots/band-basic/implementations/pygal.py +++ b/plots/band-basic/implementations/pygal.py @@ -1,6 +1,7 @@ -"""pyplots.ai +""" pyplots.ai band-basic: Basic Band Plot Library: pygal 3.1.0 | Python 3.14 +Quality: 85/100 | Updated: 2026-02-23 """ import numpy as np diff --git a/plots/band-basic/metadata/pygal.yaml b/plots/band-basic/metadata/pygal.yaml index 2466bb04cd..a2bc36fa49 100644 --- a/plots/band-basic/metadata/pygal.yaml +++ b/plots/band-basic/metadata/pygal.yaml @@ -1,7 +1,7 @@ library: pygal specification_id: band-basic created: '2025-12-23T09:10:07Z' -updated: '2026-02-23T14:06:29Z' +updated: '2026-02-23T14:24:21Z' generated_by: claude-opus-4-6 workflow_run: 20456388584 issue: 0 @@ -24,33 +24,34 @@ impl_tags: - grid-styling review: strengths: - - 'Excellent data quality improvement: realistic soil moisture scenario with diurnal - cycles and rain events replaces generic measurement data' - - Opacity fixed to 0.30, now within spec-recommended range (was 0.65 in attempt - 1) + - Perfect spec compliance and data quality — realistic soil moisture scenario with + diurnal cycles, rain recovery, and growing uncertainty - Creative polygon technique for band rendering in pygal, which lacks native fill_between - - Clean, well-commented code with perfect structure and reproducibility - - Full spec compliance with correct title format, descriptive legend, and all required - features + - Clean, well-commented code with excellent structure, reproducibility, and KISS + adherence + - Thoughtful custom Style with intentional color hierarchy and subtle guide styling + - Good visual clarity with no overlapping elements and legible text at all sizes weaknesses: - - Design Excellence remains the primary gap — pygal rendering constraints limit - typographic and visual refinement options - - Center trend line could be more visually prominent to strengthen the band-vs-trend - hierarchy - - Library mastery limited by pygal relatively narrow feature set for this plot type - image_description: The plot shows a band chart on a white background with the title - "band-basic · pygal · pyplots.ai" at the top in dark text. The x-axis is labeled - "Time (hours)" ranging from 0 to 48 with major ticks at 0, 12, 24, 36, 48 and - minor ticks at 6, 18, 30, 42. The y-axis is labeled "Soil Moisture (%)" ranging - from approximately 20 to 44. A light blue semi-transparent filled polygon forms - the 95% confidence band, starting wide around 38-42% at hour 0, dipping to ~26-32% - around hours 12-18, recovering around hours 24-30, then dropping again toward - ~20-26% at hour 48. The band width increases over time, communicating growing - uncertainty. A gold/amber central trend line runs through the band showing the - sensor mean, with visible diurnal cycling. Subtle horizontal gray grid lines are - visible through the transparent band. The legend at the bottom shows "95% Confidence - Band" (blue square) and "Sensor Mean" (gold square). Overall layout is clean with - white background and balanced margins. + - Design Excellence ceiling limited by pygal rendering constraints (no spine removal, + limited typography control) + - Center trend line could appear more visually dominant — stroke_style width=32 + does not render as expected + - Library mastery limited by pygal relatively narrow feature set for band-type visualizations + image_description: The plot displays a band chart on a white background with the + title "band-basic · pygal · pyplots.ai" centered at the top in dark text. The + x-axis is labeled "Time (hours)" ranging from 0h to 48h with major ticks at 0, + 12, 24, 36, 48 and minor ticks at 6, 18, 30, 42. The y-axis is labeled "Soil Moisture + (%)" ranging from approximately 20% to 44%. A light blue semi-transparent filled + polygon forms the 95% confidence band, starting wide around 38-42% at hour 0, + declining with diurnal oscillations to ~26-32% around hours 12-18, partially recovering + around hours 28-30, then dropping more steeply toward ~20-26% at hour 48. The + band width increases over time, communicating growing measurement uncertainty. + A gold/dark goldenrod central trend line ("Sensor Mean") runs through the band, + clearly distinguishable from the blue fill. Subtle horizontal gray dashed grid + lines appear at 2% intervals through the semi-transparent fill. The legend at + the bottom displays "95% Confidence Band" (blue square) and "Sensor Mean" (gold + square). Overall layout is clean with white background, balanced margins, and + good canvas utilization. criteria_checklist: visual_quality: score: 27 @@ -62,43 +63,43 @@ review: max: 8 passed: true comment: All font sizes explicitly set (title=60, label=42, major_label=42, - legend=42, value=36). Readable at 4800x2700. Minor deduction for pygal monospace - font rendering. + legend=42, value=36, tooltip=32). Clearly readable. Minor deduction for + pygal monospace-style font rendering. - id: VQ-02 name: No Overlap score: 6 max: 6 passed: true - comment: No overlapping text. X-axis labels well-spaced, legend at bottom - separate from data. + comment: No overlapping text. X-axis labels well-spaced, y-axis clean, legend + at bottom non-interfering. - id: VQ-03 name: Element Visibility score: 5 max: 6 passed: true - comment: Band polygon clearly visible at 30% opacity. Gold center line distinguishable - but could be more prominent at this canvas scale. + comment: Band polygon clearly visible at 20% opacity. Gold center line distinguishable + but appears moderately thick despite stroke_style width=32. - id: VQ-04 name: Color Accessibility score: 4 max: 4 passed: true - comment: Blue (#306998) and gold (#D4880F) colorblind-safe with strong luminance - contrast. + comment: Blue (#306998) and dark goldenrod (#B8860B) colorblind-safe with + strong luminance contrast. - id: VQ-05 name: Layout & Canvas score: 3 max: 4 passed: true - comment: Good canvas utilization. Legend well-placed. Minor wasted space in - top-right region. + comment: Good canvas utilization. Minor vertical line artifact at left edge + and slight wasted space. - id: VQ-06 name: Axis Labels & Title score: 2 max: 2 passed: true - comment: 'Both axes have descriptive labels with units: Time (hours) and Soil - Moisture (%).' + comment: 'Both axes descriptive with units: Time (hours) and Soil Moisture + (%).' design_excellence: score: 12 max: 20 @@ -108,22 +109,22 @@ review: score: 5 max: 8 passed: true - comment: Custom two-color palette, intentional foreground hierarchy, subtle - guide stroke. Above defaults but not publication-ready. + comment: Custom palette, intentional foreground hierarchy, subtle guide styling. + Above defaults but not publication-ready due to pygal constraints. - id: DE-02 name: Visual Refinement score: 3 max: 6 passed: true - comment: White background, subtle y-guides with custom color and dash pattern, - hidden x-guides and value labels. Some refinement but limited by pygal. + comment: White background, custom guide colors/dash patterns, x-guides hidden, + value labels hidden. Limited by pygal lacking spine removal. - id: DE-03 name: Data Storytelling score: 4 max: 6 passed: true - comment: Data tells clear story with diurnal cycles, rain events, and growing - uncertainty. Gold vs blue creates hierarchy. Natural focal points. + comment: Data tells clear story with diurnal cycles, rain recovery, growing + uncertainty. Gold-on-blue hierarchy. Emphasis relies on data shape. spec_compliance: score: 15 max: 15 @@ -133,22 +134,22 @@ review: score: 5 max: 5 passed: true - comment: Correct band plot with polygon technique for filled region and central - trend line. + comment: Correct band plot via polygon technique with filled region and center + line overlay. - id: SC-02 name: Required Features score: 4 max: 4 passed: true - comment: Opacity 0.30 within spec range, contrasting center line, 80 points, - smooth interpolation. + comment: Semi-transparent fill at 0.20, contrasting center line, 80 data points, + smooth convolution interpolation. - id: SC-03 name: Data Mapping score: 3 max: 3 passed: true - comment: X=time, Y=soil moisture. Upper/lower/center correctly mapped with - explicit range. + comment: X=time (hours), Y=soil moisture (%). All boundaries correctly mapped + with explicit range. - id: SC-04 name: Title & Legend score: 3 @@ -164,21 +165,22 @@ review: score: 6 max: 6 passed: true - comment: Filled band, central trend, varying width, diurnal cycles, downward - trend, rain event recovery. + comment: 'All band plot aspects: filled band, center trend, varying width, + diurnal cycles, downward trend, rain recovery, smooth interpolation.' - id: DQ-02 name: Realistic Context score: 5 max: 5 passed: true - comment: Soil moisture sensor readings with 95% CI — real, neutral scientific - scenario. + comment: Soil moisture sensor readings — real, neutral scientific scenario + with plausible patterns. - id: DQ-03 name: Appropriate Scale score: 4 max: 4 passed: true - comment: Soil moisture 20-42% over 48 hours is realistic for sensor measurements. + comment: Soil moisture 20-42% over 48 hours realistic. CI width 1.2-3.5% plausible + for sensor uncertainty. code_quality: score: 10 max: 10 @@ -188,7 +190,8 @@ review: score: 3 max: 3 passed: true - comment: 'Clean linear flow: imports, data, style, chart, series, save.' + comment: 'Clean linear flow: imports, data, style, chart, series, save. No + functions or classes.' - id: CQ-02 name: Reproducibility score: 2 @@ -206,14 +209,14 @@ review: score: 2 max: 2 passed: true - comment: Well-structured polygon approach. Appropriately complex data generation. - No fake functionality. + comment: Clean polygon approach, convolution smoothing with edge padding, + clear comments. No fake functionality. - id: CQ-05 name: Output & API score: 1 max: 1 passed: true - comment: Saves as plot.png via render_to_png(). Current pygal API. + comment: Saves as plot.png via render_to_png(). Current pygal 3.1.0 API. library_mastery: score: 6 max: 10 @@ -223,13 +226,13 @@ review: score: 4 max: 5 passed: true - comment: 'Solid pygal usage: XY chart, Style class, per-series options, major/minor - labels, range, formatter, legend config.' + comment: 'Solid pygal API: XY chart, Style class, per-series options, x_labels_major, + formatters, range, legend config, js=[] for disabling JS.' - id: LM-02 name: Distinctive Features score: 2 max: 5 passed: false - comment: Uses pygal-specific Style class, stroke_style dicts, opacity config, - value_colors. Pygal-specific but not deeply unique. + comment: Uses pygal-specific Style theming and per-series stroke_style dicts, + but primarily configuration options rather than deeply distinctive capabilities. verdict: REJECTED From 030c9ebfe55b4af62a4df4c19066541c9fef4d1b Mon Sep 17 00:00:00 2001 From: "github-actions[bot]" Date: Mon, 23 Feb 2026 14:45:10 +0000 Subject: [PATCH 7/8] fix(pygal): address review feedback for band-basic Attempt 3/3 - fixes based on AI review --- plots/band-basic/implementations/pygal.py | 62 +++++++++++++++++------ 1 file changed, 46 insertions(+), 16 deletions(-) diff --git a/plots/band-basic/implementations/pygal.py b/plots/band-basic/implementations/pygal.py index 6da68214c7..01b84d34ff 100644 --- a/plots/band-basic/implementations/pygal.py +++ b/plots/band-basic/implementations/pygal.py @@ -1,7 +1,6 @@ -""" pyplots.ai +"""pyplots.ai band-basic: Basic Band Plot Library: pygal 3.1.0 | Python 3.14 -Quality: 85/100 | Updated: 2026-02-23 """ import numpy as np @@ -32,18 +31,23 @@ y_lower = y_center - uncertainty y_upper = y_center + uncertainty -# Custom style — polished palette with strong band-vs-trend color hierarchy +# Explicit y-axis labels at clean intervals for precise grid control +y_lo = 4 * (int(min(y_lower)) // 4) +y_hi = 4 * (int(max(y_upper)) // 4 + 1) +y_label_values = list(range(y_lo, y_hi + 1, 4)) + +# Custom style — sans-serif typography, polished palette, refined visual hierarchy custom_style = Style( background="white", plot_background="white", foreground="#2C3E50", foreground_strong="#1A252F", - foreground_subtle="#95A5A6", - guide_stroke_color="#ECECEC", - guide_stroke_dasharray="2,6", - major_guide_stroke_color="#D5D5D5", - major_guide_stroke_dasharray="4,4", - colors=("#306998", "#B8860B"), + foreground_subtle="#BDC3C7", + guide_stroke_color="#F0F0F0", + guide_stroke_dasharray="2,8", + major_guide_stroke_color="#E8E8E8", + major_guide_stroke_dasharray="4,6", + colors=("#306998", "#B8860B", "#7F8C8D"), opacity=".20", opacity_hover=".35", stroke_opacity="1", @@ -52,13 +56,14 @@ title_font_size=60, label_font_size=42, major_label_font_size=42, - legend_font_size=42, + legend_font_size=40, value_font_size=36, value_colors=("transparent",), tooltip_font_size=32, + font_family='Helvetica, Arial, "DejaVu Sans", sans-serif', ) -# Create XY chart with fine-tuned layout and pygal-specific formatters +# Create XY chart with fine-tuned layout and pygal-specific configuration chart = pygal.XY( style=custom_style, width=4800, @@ -73,14 +78,16 @@ fill=True, stroke=True, legend_at_bottom=True, + legend_at_bottom_columns=3, legend_box_size=28, truncate_legend=-1, x_label_rotation=0, - range=(min(y_lower) - 1, max(y_upper) + 2), + range=(y_lo - 1, y_hi + 1), + y_labels=y_label_values, x_labels=[0, 6, 12, 18, 24, 30, 36, 42, 48], x_labels_major=[0, 12, 24, 36, 48], show_minor_x_labels=True, - show_minor_y_labels=True, + show_minor_y_labels=False, print_values=False, x_value_formatter=lambda x: f"{x:.0f}h", value_formatter=lambda x: f"{x:.1f}%", @@ -98,11 +105,34 @@ for h, y in zip(reversed(hours), reversed(y_lower), strict=True): band_polygon.append((float(h), float(y))) -chart.add("95% Confidence Band", band_polygon, stroke_style={"width": 1.0, "dasharray": "0"}, show_dots=False) +chart.add( + "95% Confidence Band", + band_polygon, + stroke_style={"width": 0.5, "color": "#306998", "opacity": 0.15}, + show_dots=False, +) -# Central trend line — bold stroke, no fill, contrasting dark goldenrod +# Central trend line — bold stroke with rounded SVG caps for smooth rendering center_data = [(float(h), float(y)) for h, y in zip(hours, y_center, strict=True)] -chart.add("Sensor Mean", center_data, fill=False, stroke=True, dots_size=0, stroke_style={"width": 32}) +chart.add( + "Sensor Mean", + center_data, + fill=False, + stroke=True, + dots_size=0, + stroke_style={"width": 48, "linecap": "round", "linejoin": "round"}, +) + +# Wilting point reference — threshold below which plants cannot extract moisture +chart.add( + "Wilting Point (25%)", + [(0.0, 25.0), (48.0, 25.0)], + fill=False, + stroke=True, + dots_size=0, + formatter=lambda x: f"{x:.0f}%", + stroke_style={"width": 5, "dasharray": "16,10", "linecap": "round"}, +) # Save chart.render_to_png("plot.png") From d1a4d4277c4c0327c4dc433c3e58c34703bc48bf Mon Sep 17 00:00:00 2001 From: "github-actions[bot]" Date: Mon, 23 Feb 2026 14:52:49 +0000 Subject: [PATCH 8/8] chore(pygal): update quality score 89 and review feedback for band-basic --- plots/band-basic/implementations/pygal.py | 3 +- plots/band-basic/metadata/pygal.yaml | 157 ++++++++++------------ 2 files changed, 76 insertions(+), 84 deletions(-) diff --git a/plots/band-basic/implementations/pygal.py b/plots/band-basic/implementations/pygal.py index 01b84d34ff..a99bce8e4c 100644 --- a/plots/band-basic/implementations/pygal.py +++ b/plots/band-basic/implementations/pygal.py @@ -1,6 +1,7 @@ -"""pyplots.ai +""" pyplots.ai band-basic: Basic Band Plot Library: pygal 3.1.0 | Python 3.14 +Quality: 89/100 | Updated: 2026-02-23 """ import numpy as np diff --git a/plots/band-basic/metadata/pygal.yaml b/plots/band-basic/metadata/pygal.yaml index a2bc36fa49..61a5afac96 100644 --- a/plots/band-basic/metadata/pygal.yaml +++ b/plots/band-basic/metadata/pygal.yaml @@ -1,7 +1,7 @@ library: pygal specification_id: band-basic created: '2025-12-23T09:10:07Z' -updated: '2026-02-23T14:24:21Z' +updated: '2026-02-23T14:52:49Z' generated_by: claude-opus-4-6 workflow_run: 20456388584 issue: 0 @@ -10,7 +10,7 @@ library_version: 3.1.0 preview_url: https://storage.googleapis.com/pyplots-images/plots/band-basic/pygal/plot.png preview_thumb: https://storage.googleapis.com/pyplots-images/plots/band-basic/pygal/plot_thumb.png preview_html: https://storage.googleapis.com/pyplots-images/plots/band-basic/pygal/plot.html -quality_score: 85 +quality_score: 89 impl_tags: dependencies: [] techniques: @@ -24,34 +24,30 @@ impl_tags: - grid-styling review: strengths: - - Perfect spec compliance and data quality — realistic soil moisture scenario with - diurnal cycles, rain recovery, and growing uncertainty - - Creative polygon technique for band rendering in pygal, which lacks native fill_between - - Clean, well-commented code with excellent structure, reproducibility, and KISS - adherence - - Thoughtful custom Style with intentional color hierarchy and subtle guide styling - - Good visual clarity with no overlapping elements and legible text at all sizes + - Excellent data storytelling with soil moisture scenario, wilting point reference, + and varying confidence band width conveying uncertainty changes + - Custom color palette with intentional Python Blue / Dark Goldenrod harmony and + accessible colorblind-safe choices + - Perfect spec compliance with all required features implemented + - Clean, well-structured code with appropriate complexity for the visualization + - Subtle grid styling with custom dasharray and refined guide colors weaknesses: - - Design Excellence ceiling limited by pygal rendering constraints (no spine removal, - limited typography control) - - Center trend line could appear more visually dominant — stroke_style width=32 - does not render as expected - - Library mastery limited by pygal relatively narrow feature set for band-type visualizations - image_description: The plot displays a band chart on a white background with the - title "band-basic · pygal · pyplots.ai" centered at the top in dark text. The - x-axis is labeled "Time (hours)" ranging from 0h to 48h with major ticks at 0, - 12, 24, 36, 48 and minor ticks at 6, 18, 30, 42. The y-axis is labeled "Soil Moisture - (%)" ranging from approximately 20% to 44%. A light blue semi-transparent filled - polygon forms the 95% confidence band, starting wide around 38-42% at hour 0, - declining with diurnal oscillations to ~26-32% around hours 12-18, partially recovering - around hours 28-30, then dropping more steeply toward ~20-26% at hour 48. The - band width increases over time, communicating growing measurement uncertainty. - A gold/dark goldenrod central trend line ("Sensor Mean") runs through the band, - clearly distinguishable from the blue fill. Subtle horizontal gray dashed grid - lines appear at 2% intervals through the semi-transparent fill. The legend at - the bottom displays "95% Confidence Band" (blue square) and "Sensor Mean" (gold - square). Overall layout is clean with white background, balanced margins, and - good canvas utilization. + - Vertical fill artifact at x=0 where the polygon fill extends down to the chart + baseline, creating a visible blue line on the left edge + - Y-axis shows only two labels (20.0% and 40.0%) — too sparse for the data range + of approximately 18-48% + image_description: 'The plot displays a band chart of soil moisture (%) over a 48-hour + period. A semi-transparent light blue filled region represents the 95% confidence + band, with a dark goldenrod/yellow center line showing the sensor mean. A gray + dashed horizontal line at ~25% marks the wilting point threshold. The x-axis is + labeled "Time (hours)" with ticks at 0h, 6h, 12h, 18h, 24h, 30h, 36h, 42h, 48h. + The y-axis is labeled "Soil Moisture (%)" with labels at 20.0% and 40.0%. The + title reads "band-basic · pygal · pyplots.ai". A legend at the bottom shows three + entries: "95% Confidence Band", "Sensor Mean", and "Wilting Point (25%)". The + moisture starts high (~38-42%), drops with a diurnal pattern, reaches a low around + 18h, recovers with a secondary rain event around hour 40, then drops again. The + confidence band widens over time. A visible vertical fill artifact appears at + x=0 on the left edge where the polygon fill extends to the chart baseline.' criteria_checklist: visual_quality: score: 27 @@ -59,72 +55,69 @@ review: items: - id: VQ-01 name: Text Legibility - score: 7 + score: 8 max: 8 passed: true - comment: All font sizes explicitly set (title=60, label=42, major_label=42, - legend=42, value=36, tooltip=32). Clearly readable. Minor deduction for - pygal monospace-style font rendering. + comment: All font sizes explicitly set (title=60, labels=42, legend=40, value=36). + All text clearly readable. - id: VQ-02 name: No Overlap score: 6 max: 6 passed: true - comment: No overlapping text. X-axis labels well-spaced, y-axis clean, legend - at bottom non-interfering. + comment: No overlapping text elements. Legend at bottom well-separated. - id: VQ-03 name: Element Visibility - score: 5 + score: 4 max: 6 - passed: true - comment: Band polygon clearly visible at 20% opacity. Gold center line distinguishable - but appears moderately thick despite stroke_style width=32. + passed: false + comment: Band and center line visible but vertical fill artifact at x=0 drops + to chart bottom. - id: VQ-04 name: Color Accessibility score: 4 max: 4 passed: true - comment: Blue (#306998) and dark goldenrod (#B8860B) colorblind-safe with - strong luminance contrast. + comment: Blue band, dark goldenrod center, gray reference — colorblind-safe + with good contrast. - id: VQ-05 name: Layout & Canvas score: 3 max: 4 - passed: true - comment: Good canvas utilization. Minor vertical line artifact at left edge - and slight wasted space. + passed: false + comment: Good canvas utilization but y-axis shows only 2 labels (20.0%, 40.0%) + — too sparse. - id: VQ-06 name: Axis Labels & Title score: 2 max: 2 passed: true - comment: 'Both axes descriptive with units: Time (hours) and Soil Moisture - (%).' + comment: Time (hours) and Soil Moisture (%) with units. Title in correct format. design_excellence: - score: 12 + score: 15 max: 20 items: - id: DE-01 name: Aesthetic Sophistication - score: 5 + score: 6 max: 8 passed: true - comment: Custom palette, intentional foreground hierarchy, subtle guide styling. - Above defaults but not publication-ready due to pygal constraints. + comment: Custom palette with Python Blue and Dark Goldenrod. White background, + sans-serif typography, thoughtful stroke config. - id: DE-02 name: Visual Refinement - score: 3 + score: 4 max: 6 passed: true - comment: White background, custom guide colors/dash patterns, x-guides hidden, - value labels hidden. Limited by pygal lacking spine removal. + comment: Subtle grid with custom dasharray, refined guide colors. Sparse y-labels + and artifact are polish issues. - id: DE-03 name: Data Storytelling - score: 4 + score: 5 max: 6 passed: true - comment: Data tells clear story with diurnal cycles, rain recovery, growing - uncertainty. Gold-on-blue hierarchy. Emphasis relies on data shape. + comment: Soil moisture story with wilting point creates clear narrative. Varying + band width communicates uncertainty changes. spec_compliance: score: 15 max: 15 @@ -134,28 +127,27 @@ review: score: 5 max: 5 passed: true - comment: Correct band plot via polygon technique with filled region and center - line overlay. + comment: Correct band plot with filled region and central trend line. - id: SC-02 name: Required Features score: 4 max: 4 passed: true - comment: Semi-transparent fill at 0.20, contrasting center line, 80 data points, - smooth convolution interpolation. + comment: Semi-transparent fill, contrasting center line, smooth data, CI context + in legend. - id: SC-03 name: Data Mapping score: 3 max: 3 passed: true - comment: X=time (hours), Y=soil moisture (%). All boundaries correctly mapped - with explicit range. + comment: X=time, Y=moisture with correct upper/lower/center mapping. - id: SC-04 name: Title & Legend score: 3 max: 3 passed: true - comment: Title follows exact format. Legend labels descriptive and accurate. + comment: Title format correct. Legend labels descriptive and matching data + series. data_quality: score: 15 max: 15 @@ -165,22 +157,22 @@ review: score: 6 max: 6 passed: true - comment: 'All band plot aspects: filled band, center trend, varying width, - diurnal cycles, downward trend, rain recovery, smooth interpolation.' + comment: Shows varying band width, diurnal patterns, central trend, reference + threshold. - id: DQ-02 name: Realistic Context score: 5 max: 5 passed: true - comment: Soil moisture sensor readings — real, neutral scientific scenario - with plausible patterns. + comment: Soil moisture with 95% CI — real, neutral agricultural/environmental + science scenario. - id: DQ-03 name: Appropriate Scale score: 4 max: 4 passed: true - comment: Soil moisture 20-42% over 48 hours realistic. CI width 1.2-3.5% plausible - for sensor uncertainty. + comment: Soil moisture 20-45% over 48 hours is realistic for agricultural + sensors. code_quality: score: 10 max: 10 @@ -190,35 +182,34 @@ review: score: 3 max: 3 passed: true - comment: 'Clean linear flow: imports, data, style, chart, series, save. No - functions or classes.' + comment: 'Flat structure: imports, data, style, chart, series, save. No functions + or classes.' - id: CQ-02 name: Reproducibility score: 2 max: 2 passed: true - comment: np.random.seed(42) set at top. + comment: np.random.seed(42) set at beginning. - id: CQ-03 name: Clean Imports score: 2 max: 2 passed: true - comment: Only numpy, pygal, Style imported — all used. + comment: Only numpy, pygal, pygal.style.Style imported; all used. - id: CQ-04 name: Code Elegance score: 2 max: 2 passed: true - comment: Clean polygon approach, convolution smoothing with edge padding, - clear comments. No fake functionality. + comment: Clean, Pythonic. Polygon approach appropriate for pygal band plots. - id: CQ-05 name: Output & API score: 1 max: 1 passed: true - comment: Saves as plot.png via render_to_png(). Current pygal 3.1.0 API. + comment: Saves as plot.png and plot.html. Current pygal API. library_mastery: - score: 6 + score: 7 max: 10 items: - id: LM-01 @@ -226,13 +217,13 @@ review: score: 4 max: 5 passed: true - comment: 'Solid pygal API: XY chart, Style class, per-series options, x_labels_major, - formatters, range, legend config, js=[] for disabling JS.' + comment: Good pygal usage with XY chart, custom Style, stroke_style dicts, + formatters. Polygon approach is correct pygal pattern. - id: LM-02 name: Distinctive Features - score: 2 + score: 3 max: 5 - passed: false - comment: Uses pygal-specific Style theming and per-series stroke_style dicts, - but primarily configuration options rather than deeply distinctive capabilities. + passed: true + comment: SVG stroke styling, formatters, js=[] for static render, tooltip + config, legend_at_bottom_columns, HTML export. verdict: REJECTED