From 97613c9f7f1670e028773ab7381a903578687908 Mon Sep 17 00:00:00 2001
From: Markus Neusinger <2921697+MarkusNeusinger@users.noreply.github.com>
Date: Sat, 14 Feb 2026 15:31:08 +0100
Subject: [PATCH 1/6] =?UTF-8?q?update(scatter-basic):=20highcharts=20?=
=?UTF-8?q?=E2=80=94=20comprehensive=20quality=20review?=
MIME-Version: 1.0
Content-Type: text/plain; charset=UTF-8
Content-Transfer-Encoding: 8bit
Comprehensive quality review: improved data context, white marker edges,
subtler grid, explicit font sizing, spec tag additions.
---
.../implementations/highcharts.py | 46 +++++++++++--------
plots/scatter-basic/metadata/highcharts.yaml | 10 ++--
2 files changed, 31 insertions(+), 25 deletions(-)
diff --git a/plots/scatter-basic/implementations/highcharts.py b/plots/scatter-basic/implementations/highcharts.py
index 01cdc651e1..e8ff77619e 100644
--- a/plots/scatter-basic/implementations/highcharts.py
+++ b/plots/scatter-basic/implementations/highcharts.py
@@ -1,7 +1,7 @@
-""" pyplots.ai
+"""pyplots.ai
scatter-basic: Basic Scatter Plot
-Library: highcharts unknown | Python 3.13.11
-Quality: 92/100 | Created: 2025-12-22
+Library: highcharts 1.10.3 | Python 3.14
+Quality: /100 | Updated: 2026-02-14
"""
import tempfile
@@ -17,10 +17,10 @@
from selenium.webdriver.chrome.options import Options
-# Data
+# Data — height vs weight with moderate positive correlation (r~0.7)
np.random.seed(42)
-x = np.random.randn(100) * 2 + 10
-y = x * 0.8 + np.random.randn(100) * 2
+height_cm = np.random.normal(170, 10, 100)
+weight_kg = height_cm * 0.65 + np.random.normal(0, 8, 100) - 40
# Create chart
chart = Chart(container="container")
@@ -32,41 +32,47 @@
"width": 4800,
"height": 2700,
"backgroundColor": "#ffffff",
- "marginBottom": 150,
+ "marginBottom": 200,
}
-# Title (required format: spec-id · library · pyplots.ai)
+# Title
chart.options.title = {
- "text": "scatter-basic · highcharts · pyplots.ai",
+ "text": "scatter-basic \u00b7 highcharts \u00b7 pyplots.ai",
"style": {"fontSize": "72px", "fontWeight": "bold"},
}
-# Axes (scaled for 4800x2700 px)
+# Axes
chart.options.x_axis = {
- "title": {"text": "X Value", "style": {"fontSize": "48px"}},
+ "title": {"text": "Height (cm)", "style": {"fontSize": "48px"}},
"labels": {"style": {"fontSize": "36px"}},
+ "tickInterval": 5,
"gridLineWidth": 1,
"gridLineColor": "rgba(0, 0, 0, 0.15)",
- "gridLineDashStyle": "Dash",
}
chart.options.y_axis = {
- "title": {"text": "Y Value", "style": {"fontSize": "48px"}},
+ "title": {"text": "Weight (kg)", "style": {"fontSize": "48px"}},
"labels": {"style": {"fontSize": "36px"}},
"gridLineWidth": 1,
"gridLineColor": "rgba(0, 0, 0, 0.15)",
- "gridLineDashStyle": "Dash",
}
# Legend and credits
chart.options.legend = {"enabled": False}
chart.options.credits = {"enabled": False}
-# Create scatter series with Python Blue color and transparency
+# Tooltip for interactive HTML version
+chart.options.tooltip = {
+ "headerFormat": "",
+ "pointFormat": "{point.x:.1f} cm, {point.y:.1f} kg",
+ "style": {"fontSize": "28px"},
+}
+
+# Scatter series with Python Blue and transparency
series = ScatterSeries()
-series.data = [[float(xi), float(yi)] for xi, yi in zip(x, y, strict=True)]
-series.name = "Data"
-series.color = "rgba(48, 105, 152, 0.7)" # Python Blue with alpha
-series.marker = {"radius": 18, "symbol": "circle"} # Larger markers for 4800x2700
+series.data = [[float(h), float(w)] for h, w in zip(height_cm, weight_kg, strict=True)]
+series.name = "Subjects"
+series.color = "rgba(48, 105, 152, 0.7)"
+series.marker = {"radius": 18, "symbol": "circle", "lineWidth": 2, "lineColor": "#ffffff"}
chart.add_series(series)
@@ -112,7 +118,7 @@
Path(temp_path).unlink()
-# Also save HTML for interactive version
+# Save HTML for interactive version
with open("plot.html", "w", encoding="utf-8") as f:
interactive_html = f"""
diff --git a/plots/scatter-basic/metadata/highcharts.yaml b/plots/scatter-basic/metadata/highcharts.yaml
index 4ae75bf5d9..3733272cbb 100644
--- a/plots/scatter-basic/metadata/highcharts.yaml
+++ b/plots/scatter-basic/metadata/highcharts.yaml
@@ -1,16 +1,16 @@
library: highcharts
specification_id: scatter-basic
created: '2025-12-22T23:43:32Z'
-updated: '2025-12-23T00:06:43Z'
-generated_by: claude-opus-4-5-20251101
+updated: "2026-02-14T14:28:20+00:00"
+generated_by: claude-opus-4-6
workflow_run: 20446960278
issue: 0
-python_version: 3.13.11
-library_version: unknown
+python_version: "3.14"
+library_version: "1.10.3"
preview_url: https://storage.googleapis.com/pyplots-images/plots/scatter-basic/highcharts/plot.png
preview_thumb: https://storage.googleapis.com/pyplots-images/plots/scatter-basic/highcharts/plot_thumb.png
preview_html: https://storage.googleapis.com/pyplots-images/plots/scatter-basic/highcharts/plot.html
-quality_score: 92
+quality_score: null
impl_tags:
dependencies:
- selenium
From 55b014e90fa3c2ab330a8e8c54aafceff408095f Mon Sep 17 00:00:00 2001
From: "github-actions[bot]"
Date: Sat, 14 Feb 2026 14:33:20 +0000
Subject: [PATCH 2/6] chore(highcharts): update quality score 73 and review
feedback for scatter-basic
---
.../implementations/highcharts.py | 4 +-
plots/scatter-basic/metadata/highcharts.yaml | 257 ++++++++++--------
2 files changed, 142 insertions(+), 119 deletions(-)
diff --git a/plots/scatter-basic/implementations/highcharts.py b/plots/scatter-basic/implementations/highcharts.py
index e8ff77619e..7312b46e53 100644
--- a/plots/scatter-basic/implementations/highcharts.py
+++ b/plots/scatter-basic/implementations/highcharts.py
@@ -1,7 +1,7 @@
-"""pyplots.ai
+""" pyplots.ai
scatter-basic: Basic Scatter Plot
Library: highcharts 1.10.3 | Python 3.14
-Quality: /100 | Updated: 2026-02-14
+Quality: 73/100 | Created: 2025-12-22
"""
import tempfile
diff --git a/plots/scatter-basic/metadata/highcharts.yaml b/plots/scatter-basic/metadata/highcharts.yaml
index 3733272cbb..58c23560c2 100644
--- a/plots/scatter-basic/metadata/highcharts.yaml
+++ b/plots/scatter-basic/metadata/highcharts.yaml
@@ -1,167 +1,183 @@
library: highcharts
specification_id: scatter-basic
created: '2025-12-22T23:43:32Z'
-updated: "2026-02-14T14:28:20+00:00"
+updated: '2026-02-14T14:33:20Z'
generated_by: claude-opus-4-6
workflow_run: 20446960278
issue: 0
-python_version: "3.14"
-library_version: "1.10.3"
+python_version: '3.14'
+library_version: 1.10.3
preview_url: https://storage.googleapis.com/pyplots-images/plots/scatter-basic/highcharts/plot.png
preview_thumb: https://storage.googleapis.com/pyplots-images/plots/scatter-basic/highcharts/plot_thumb.png
preview_html: https://storage.googleapis.com/pyplots-images/plots/scatter-basic/highcharts/plot.html
-quality_score: null
+quality_score: 73
impl_tags:
dependencies:
- - selenium
+ - selenium
techniques:
- - html-export
+ - html-export
patterns:
- - data-generation
+ - data-generation
dataprep: []
styling:
- - alpha-blending
- - grid-styling
+ - alpha-blending
+ - edge-highlighting
+ - grid-styling
review:
strengths:
- - Excellent text sizing scaled appropriately for 4800x2700 resolution (72px title,
- 48px axis titles, 36px labels)
- - Clean implementation following library rules with inline Highcharts JS for headless
- Chrome compatibility
- - Proper use of Python Blue color with transparency (rgba 0.7) for overlapping point
- visibility
- - Correct title format following the spec-id · library · pyplots.ai convention
- - Both PNG and interactive HTML outputs generated
- - Subtle dashed grid lines enhance readability without distraction
+ - Correct title format and clean spec compliance
+ - Realistic height-vs-weight data scenario with appropriate scales
+ - Explicit font sizing ensures legibility at 4800x2700 resolution
+ - White marker edges provide visual separation between overlapping points
+ - Alpha transparency at 0.7 as specified in the spec
+ - Clean KISS code structure with proper seed for reproducibility
weaknesses:
- - Axis labels are generic (X Value, Y Value) rather than contextual with units
- - Marker radius (18) could be slightly smaller for better distinction between nearby
- points
- - Does not leverage Highcharts tooltip/hover interactivity features visible in the
- static image
- image_description: The plot displays a scatter plot on a white background with approximately
- 100 data points. The points are rendered as filled circles in a muted blue color
- (Python Blue) with transparency (alpha ~0.7). The title "scatter-basic · highcharts
- · pyplots.ai" appears at the top in bold black text. The X-axis is labeled "X
- Value" (ranging from ~4.8 to ~13.6) and the Y-axis is labeled "Y Value" (ranging
- from ~2 to ~15). Both axes have subtle gray dashed grid lines. The data shows
- a clear positive correlation pattern with some scatter/noise. The overall layout
- is clean and professional with good proportions.
+ - Y-axis extends far beyond data range (to 100 when max is ~92), creating wasted
+ space at the top of the chart — should use auto-scaling or set explicit min/max
+ closer to data bounds
+ - 'No storytelling elements: add a trend line, R-squared annotation, or callouts
+ for outliers to guide the viewer'
+ - Y-axis gridlines every 2 kg are too dense, creating visual noise — increase the
+ tick interval
+ - Marker radius=18 is slightly too large for 100 points — causes overlap in dense
+ regions around 165-175 cm
+ - Does not leverage Highcharts-distinctive features — consider using plotLines,
+ plotBands, or data labels for a few key points
+ - Design is a well-configured default rather than publication-quality — needs more
+ visual refinement
+ image_description: The plot displays a scatter chart of Height (cm) on the x-axis
+ versus Weight (kg) on the y-axis, with approximately 100 data points. Points are
+ rendered as medium-sized blue circles (Python Blue rgba(48,105,152,0.7)) with
+ white edge borders against a clean white background. The title "scatter-basic
+ · highcharts · pyplots.ai" appears at the top in bold. Both axes have descriptive
+ labels with units. Light gray gridlines run horizontally and vertically. The data
+ shows a clear positive correlation — taller individuals tend to weigh more, with
+ heights ranging from ~143-186 cm and weights from ~50-92 kg. There is notable
+ empty space at the top of the y-axis (which extends to 100) above the data. No
+ legend is shown (single series). The design is clean and functional but visually
+ straightforward with no annotations or storytelling elements.
criteria_checklist:
visual_quality:
- score: 36
- max: 40
+ score: 24
+ max: 30
items:
- id: VQ-01
name: Text Legibility
- score: 10
- max: 10
+ score: 8
+ max: 8
passed: true
- comment: Title, axis labels, and tick marks are all clearly readable at the
- high resolution
+ comment: 'All font sizes explicitly set: title 72px, axis titles 48px, tick
+ labels 36px — all clearly readable'
- id: VQ-02
name: No Overlap
- score: 8
- max: 8
+ score: 6
+ max: 6
passed: true
- comment: No overlapping text elements anywhere
+ comment: No overlapping text or data elements
- id: VQ-03
name: Element Visibility
- score: 7
- max: 8
+ score: 4
+ max: 6
passed: true
- comment: Markers are appropriately sized for 100 data points with good transparency
+ comment: Markers visible with radius=18 and alpha=0.7, but slightly too large
+ for 100 points causing overlap in dense regions
- id: VQ-04
name: Color Accessibility
- score: 5
- max: 5
- passed: true
- comment: Single color (Python Blue) is colorblind-safe
- - id: VQ-05
- name: Layout Balance
score: 4
- max: 5
+ max: 4
passed: true
- comment: Good proportions, though slight extra whitespace at top
+ comment: Single-series Python Blue, good contrast, colorblind-safe
+ - id: VQ-05
+ name: Layout & Canvas
+ score: 0
+ max: 4
+ passed: false
+ comment: Y-axis extends to 100 while highest data point is ~92, creating significant
+ empty white space at top (~20% of plot area unused)
- id: VQ-06
- name: Axis Labels
- score: 1
+ name: Axis Labels & Title
+ score: 2
max: 2
passed: true
- comment: Labels are descriptive ("X Value", "Y Value") but lack units
- - id: VQ-07
- name: Grid & Legend
- score: 1
- max: 2
+ comment: 'Descriptive labels with units: Height (cm) and Weight (kg)'
+ design_excellence:
+ score: 8
+ max: 20
+ items:
+ - id: DE-01
+ name: Aesthetic Sophistication
+ score: 4
+ max: 8
passed: true
- comment: Grid is subtle with dashed style and appropriate alpha; legend disabled
- (appropriate for single series)
+ comment: Clean white background, Python Blue markers with white edge borders.
+ Looks like a well-configured default rather than truly refined design.
+ - id: DE-02
+ name: Visual Refinement
+ score: 2
+ max: 6
+ passed: true
+ comment: Grid lines styled with light opacity but y-axis has too many gridlines
+ every 2 kg creating visual noise. Default Highcharts chrome preserved.
+ - id: DE-03
+ name: Data Storytelling
+ score: 2
+ max: 6
+ passed: true
+ comment: Data displayed without annotations, trend lines, or narrative emphasis.
+ Viewer must discover the correlation on their own.
spec_compliance:
- score: 25
- max: 25
+ score: 15
+ max: 15
items:
- id: SC-01
name: Plot Type
- score: 8
- max: 8
+ score: 5
+ max: 5
passed: true
comment: Correct scatter plot type
- id: SC-02
- name: Data Mapping
- score: 5
- max: 5
+ name: Required Features
+ score: 4
+ max: 4
passed: true
- comment: X/Y correctly mapped to axes
+ comment: Transparency, axis labels, title, grid lines all present
- id: SC-03
- name: Required Features
- score: 5
- max: 5
+ name: Data Mapping
+ score: 3
+ max: 3
passed: true
- comment: 'All spec features present: transparency, axis labels, title, grid
- lines'
+ comment: X/Y correctly assigned (height to x, weight to y)
- id: SC-04
- name: Data Range
+ name: Title & Legend
score: 3
max: 3
passed: true
- comment: Axes show all data points with appropriate padding
- - id: SC-05
- name: Legend Accuracy
- score: 2
- max: 2
- passed: true
- comment: Legend appropriately disabled for single-series scatter
- - id: SC-06
- name: Title Format
- score: 2
- max: 2
- passed: true
- comment: 'Correct format: "scatter-basic · highcharts · pyplots.ai"'
+ comment: Title format correct, legend appropriately disabled for single series
data_quality:
- score: 18
- max: 20
+ score: 14
+ max: 15
items:
- id: DQ-01
name: Feature Coverage
- score: 7
- max: 8
+ score: 5
+ max: 6
passed: true
- comment: Shows correlation pattern with noise, demonstrates typical scatter
- behavior
+ comment: Shows positive correlation with noise and some outliers. Could benefit
+ from wider range of patterns.
- id: DQ-02
name: Realistic Context
- score: 6
- max: 7
+ score: 5
+ max: 5
passed: true
- comment: Plausible data range, shows meaningful positive correlation
+ comment: Height vs weight is a classic, neutral, real-world scenario
- id: DQ-03
name: Appropriate Scale
- score: 5
- max: 5
+ score: 4
+ max: 4
passed: true
- comment: Sensible numeric values
+ comment: Heights 143-186 cm and weights 50-92 kg are realistic human measurements
code_quality:
- score: 10
+ score: 9
max: 10
items:
- id: CQ-01
@@ -169,13 +185,13 @@ review:
score: 3
max: 3
passed: true
- comment: 'Linear script: imports → data → chart config → export'
+ comment: 'Linear flow: imports, data, chart config, series, export, HTML save'
- id: CQ-02
name: Reproducibility
- score: 3
- max: 3
+ score: 2
+ max: 2
passed: true
- comment: Uses np.random.seed(42)
+ comment: np.random.seed(42) set
- id: CQ-03
name: Clean Imports
score: 2
@@ -183,27 +199,34 @@ review:
passed: true
comment: All imports are used
- id: CQ-04
- name: No Deprecated API
+ name: Code Elegance
score: 1
- max: 1
+ max: 2
passed: true
- comment: Uses current highcharts-core API
+ comment: Clean but slightly verbose; window-size mismatch 4800x2800 vs 2700
+ chart height
- id: CQ-05
- name: Output Correct
+ name: Output & API
score: 1
max: 1
passed: true
comment: Saves as plot.png and plot.html
- library_features:
+ library_mastery:
score: 3
- max: 5
+ max: 10
items:
- - id: LF-01
- name: Uses distinctive library features
- score: 3
+ - id: LM-01
+ name: Idiomatic Usage
+ score: 2
+ max: 5
+ passed: true
+ comment: Uses highcharts-core API correctly but configures via dicts rather
+ than typed Python classes
+ - id: LM-02
+ name: Distinctive Features
+ score: 1
max: 5
passed: true
- comment: Uses highcharts-core properly with ScatterSeries, but doesn't leverage
- advanced Highcharts features like tooltips or interactive hover states in
- the static output
- verdict: APPROVED
+ comment: Generic scatter plot that could be replicated in any library. No
+ Highcharts-distinctive features used.
+ verdict: REJECTED
From e94b5fd1970f3a7a0218194b750b166c09de83fc Mon Sep 17 00:00:00 2001
From: "github-actions[bot]"
Date: Sat, 14 Feb 2026 14:40:01 +0000
Subject: [PATCH 3/6] fix(highcharts): address review feedback for
scatter-basic
Attempt 1/3 - fixes based on AI review
---
.../implementations/highcharts.py | 246 +++++++++++++++---
1 file changed, 214 insertions(+), 32 deletions(-)
diff --git a/plots/scatter-basic/implementations/highcharts.py b/plots/scatter-basic/implementations/highcharts.py
index 7312b46e53..5bcb11a406 100644
--- a/plots/scatter-basic/implementations/highcharts.py
+++ b/plots/scatter-basic/implementations/highcharts.py
@@ -1,4 +1,4 @@
-""" pyplots.ai
+"""pyplots.ai
scatter-basic: Basic Scatter Plot
Library: highcharts 1.10.3 | Python 3.14
Quality: 73/100 | Created: 2025-12-22
@@ -12,17 +12,40 @@
import numpy as np
from highcharts_core.chart import Chart
from highcharts_core.options import HighchartsOptions
+from highcharts_core.options.annotations import Annotation
from highcharts_core.options.series.scatter import ScatterSeries
+from highcharts_core.options.series.spline import SplineSeries
from selenium import webdriver
from selenium.webdriver.chrome.options import Options
-# Data — height vs weight with moderate positive correlation (r~0.7)
+# Data — height vs weight with moderate positive correlation
np.random.seed(42)
-height_cm = np.random.normal(170, 10, 100)
-weight_kg = height_cm * 0.65 + np.random.normal(0, 8, 100) - 40
+n_points = 100
+height_cm = np.random.normal(170, 10, n_points)
+weight_kg = height_cm * 0.65 + np.random.normal(0, 8, n_points) - 40
-# Create chart
+# Compute linear regression for trend line
+slope, intercept = np.polyfit(height_cm, weight_kg, 1)
+r_squared = np.corrcoef(height_cm, weight_kg)[0, 1] ** 2
+
+# Axis bounds — tight to data with small padding
+x_min, x_max = float(np.floor(height_cm.min() - 2)), float(np.ceil(height_cm.max() + 2))
+y_min, y_max = float(np.floor(weight_kg.min() - 3)), float(np.ceil(weight_kg.max() + 3))
+
+# Trend line endpoints
+trend_x = np.array([x_min, x_max])
+trend_y = slope * trend_x + intercept
+
+# Identify outlier points (beyond 2 std from regression line)
+predicted = slope * height_cm + intercept
+residuals = weight_kg - predicted
+std_resid = np.std(residuals)
+outlier_mask = np.abs(residuals) > 1.8 * std_resid
+outlier_heights = height_cm[outlier_mask]
+outlier_weights = weight_kg[outlier_mask]
+
+# Create chart with typed API
chart = Chart(container="container")
chart.options = HighchartsOptions()
@@ -31,55 +54,212 @@
"type": "scatter",
"width": 4800,
"height": 2700,
- "backgroundColor": "#ffffff",
+ "backgroundColor": "#fafbfc",
+ "style": {"fontFamily": "'Segoe UI', Helvetica, Arial, sans-serif"},
+ "marginTop": 160,
"marginBottom": 200,
+ "marginLeft": 220,
+ "marginRight": 140,
}
-# Title
+# Title with refined typography
chart.options.title = {
"text": "scatter-basic \u00b7 highcharts \u00b7 pyplots.ai",
- "style": {"fontSize": "72px", "fontWeight": "bold"},
+ "style": {"fontSize": "64px", "fontWeight": "600", "color": "#2c3e50", "letterSpacing": "1px"},
+ "margin": 50,
}
-# Axes
+# Subtitle for data storytelling
+chart.options.subtitle = {
+ "text": "Height vs Weight — positive correlation across 100 subjects",
+ "style": {"fontSize": "38px", "color": "#7f8c8d", "fontWeight": "400"},
+}
+
+# X-axis with tight bounds and refined styling
chart.options.x_axis = {
- "title": {"text": "Height (cm)", "style": {"fontSize": "48px"}},
- "labels": {"style": {"fontSize": "36px"}},
+ "title": {
+ "text": "Height (cm)",
+ "style": {"fontSize": "44px", "color": "#34495e", "fontWeight": "500"},
+ "margin": 30,
+ },
+ "labels": {"style": {"fontSize": "34px", "color": "#7f8c8d"}},
+ "min": x_min,
+ "max": x_max,
"tickInterval": 5,
+ "startOnTick": False,
+ "endOnTick": False,
"gridLineWidth": 1,
- "gridLineColor": "rgba(0, 0, 0, 0.15)",
+ "gridLineColor": "rgba(0, 0, 0, 0.06)",
+ "gridLineDashStyle": "Dot",
+ "lineColor": "#bdc3c7",
+ "lineWidth": 2,
+ "tickColor": "#bdc3c7",
+ "tickLength": 10,
}
+
+# Y-axis with tight bounds and reduced tick density
chart.options.y_axis = {
- "title": {"text": "Weight (kg)", "style": {"fontSize": "48px"}},
- "labels": {"style": {"fontSize": "36px"}},
+ "title": {
+ "text": "Weight (kg)",
+ "style": {"fontSize": "44px", "color": "#34495e", "fontWeight": "500"},
+ "margin": 30,
+ },
+ "labels": {"style": {"fontSize": "34px", "color": "#7f8c8d"}},
+ "min": y_min,
+ "max": y_max,
+ "tickInterval": 5,
+ "startOnTick": False,
+ "endOnTick": False,
"gridLineWidth": 1,
- "gridLineColor": "rgba(0, 0, 0, 0.15)",
+ "gridLineColor": "rgba(0, 0, 0, 0.06)",
+ "gridLineDashStyle": "Dot",
+ "lineColor": "#bdc3c7",
+ "lineWidth": 2,
+ "tickColor": "#bdc3c7",
+ "tickLength": 10,
+ "plotBands": [
+ {
+ "from": y_min,
+ "to": float(np.percentile(weight_kg, 25)),
+ "color": "rgba(48, 105, 152, 0.03)",
+ "label": {
+ "text": "Lower quartile",
+ "style": {"fontSize": "26px", "color": "rgba(48, 105, 152, 0.3)"},
+ "align": "left",
+ "x": 20,
+ "y": 16,
+ },
+ },
+ {
+ "from": float(np.percentile(weight_kg, 75)),
+ "to": y_max,
+ "color": "rgba(48, 105, 152, 0.03)",
+ "label": {
+ "text": "Upper quartile",
+ "style": {"fontSize": "26px", "color": "rgba(48, 105, 152, 0.3)"},
+ "align": "left",
+ "x": 20,
+ "y": 16,
+ },
+ },
+ ],
+}
+
+# Legend — show to label trend line
+chart.options.legend = {
+ "enabled": True,
+ "align": "right",
+ "verticalAlign": "top",
+ "layout": "vertical",
+ "x": -40,
+ "y": 80,
+ "floating": True,
+ "backgroundColor": "rgba(255, 255, 255, 0.85)",
+ "borderWidth": 1,
+ "borderColor": "#e0e0e0",
+ "borderRadius": 8,
+ "itemStyle": {"fontSize": "30px", "fontWeight": "400", "color": "#34495e"},
+ "padding": 16,
+ "symbolRadius": 6,
}
-# Legend and credits
-chart.options.legend = {"enabled": False}
chart.options.credits = {"enabled": False}
-# Tooltip for interactive HTML version
+# Rich tooltip — Highcharts-distinctive feature
chart.options.tooltip = {
"headerFormat": "",
- "pointFormat": "{point.x:.1f} cm, {point.y:.1f} kg",
- "style": {"fontSize": "28px"},
+ "pointFormat": (
+ '\u25cf '
+ ''
+ "Height: {point.x:.1f} cm
"
+ "Weight: {point.y:.1f} kg"
+ ),
+ "backgroundColor": "rgba(255, 255, 255, 0.95)",
+ "borderColor": "#306998",
+ "borderRadius": 10,
+ "borderWidth": 2,
+ "shadow": {"color": "rgba(0,0,0,0.1)", "offsetX": 2, "offsetY": 2, "width": 4},
+ "style": {"fontSize": "26px"},
+}
+
+# Main scatter series — Python Blue with transparency
+scatter = ScatterSeries()
+scatter.data = [[float(h), float(w)] for h, w in zip(height_cm, weight_kg, strict=True)]
+scatter.name = "Subjects"
+scatter.color = "rgba(48, 105, 152, 0.65)"
+scatter.marker = {
+ "radius": 14,
+ "symbol": "circle",
+ "lineWidth": 2,
+ "lineColor": "#ffffff",
+ "states": {"hover": {"radiusPlus": 4, "lineWidthPlus": 1, "lineColor": "#306998"}},
}
+scatter.z_index = 2
+
+# Outlier series — highlight extreme points with distinct marker
+outlier_series = ScatterSeries()
+outlier_series.data = [[float(h), float(w)] for h, w in zip(outlier_heights, outlier_weights, strict=True)]
+outlier_series.name = "Outliers"
+outlier_series.color = "rgba(192, 57, 43, 0.75)"
+outlier_series.marker = {
+ "radius": 16,
+ "symbol": "diamond",
+ "lineWidth": 2,
+ "lineColor": "#c0392b",
+ "states": {"hover": {"radiusPlus": 4}},
+}
+outlier_series.z_index = 3
+
+# Trend line (linear regression) using SplineSeries
+trend = SplineSeries()
+trend.data = [[float(trend_x[0]), float(trend_y[0])], [float(trend_x[1]), float(trend_y[1])]]
+trend.name = f"Trend (R\u00b2 = {r_squared:.2f})"
+trend.color = "#e67e22"
+trend.line_width = 4
+trend.dash_style = "LongDash"
+trend.marker = {"enabled": False}
+trend.enable_mouse_tracking = False
+trend.z_index = 1
-# Scatter series with Python Blue and transparency
-series = ScatterSeries()
-series.data = [[float(h), float(w)] for h, w in zip(height_cm, weight_kg, strict=True)]
-series.name = "Subjects"
-series.color = "rgba(48, 105, 152, 0.7)"
-series.marker = {"radius": 18, "symbol": "circle", "lineWidth": 2, "lineColor": "#ffffff"}
+chart.add_series(scatter)
+chart.add_series(outlier_series)
+chart.add_series(trend)
-chart.add_series(series)
+# Annotation — R² value and slope description
+chart.options.annotations = [
+ Annotation.from_dict(
+ {
+ "draggable": "",
+ "labelOptions": {
+ "backgroundColor": "rgba(255, 255, 255, 0.9)",
+ "borderColor": "#e67e22",
+ "borderRadius": 8,
+ "borderWidth": 2,
+ "padding": 14,
+ "style": {"fontSize": "34px", "color": "#2c3e50"},
+ },
+ "labels": [
+ {
+ "point": {
+ "x": float(x_min + 8),
+ "y": float(slope * (x_min + 8) + intercept - 5),
+ "xAxis": 0,
+ "yAxis": 0,
+ },
+ "text": f"y = {slope:.2f}x {intercept:+.1f} | R\u00b2 = {r_squared:.2f}",
+ }
+ ],
+ }
+ )
+]
-# Download Highcharts JS (required for headless Chrome)
+# Download Highcharts JS and annotations module (required for headless Chrome)
highcharts_url = "https://code.highcharts.com/highcharts.js"
+annotations_url = "https://code.highcharts.com/modules/annotations.js"
with urllib.request.urlopen(highcharts_url, timeout=30) as response:
highcharts_js = response.read().decode("utf-8")
+with urllib.request.urlopen(annotations_url, timeout=30) as response:
+ annotations_js = response.read().decode("utf-8")
# Generate HTML with inline scripts
html_str = chart.to_js_literal()
@@ -88,8 +268,9 @@
+
-
+
@@ -105,13 +286,13 @@
chrome_options.add_argument("--no-sandbox")
chrome_options.add_argument("--disable-dev-shm-usage")
chrome_options.add_argument("--disable-gpu")
-chrome_options.add_argument("--window-size=4800,2800")
+chrome_options.add_argument("--window-size=4800,2700")
driver = webdriver.Chrome(options=chrome_options)
driver.get(f"file://{temp_path}")
time.sleep(5)
-# Take screenshot of just the chart container element
+# Screenshot the chart container for exact dimensions
container = driver.find_element("id", "container")
container.screenshot("plot.png")
driver.quit()
@@ -125,8 +306,9 @@
+
-
+
From d884bb3b56923c98bd987c9c4b56997175b584f2 Mon Sep 17 00:00:00 2001
From: "github-actions[bot]"
Date: Sat, 14 Feb 2026 14:44:27 +0000
Subject: [PATCH 4/6] chore(highcharts): update quality score 87 and review
feedback for scatter-basic
---
.../implementations/highcharts.py | 4 +-
plots/scatter-basic/metadata/highcharts.yaml | 167 +++++++++---------
2 files changed, 88 insertions(+), 83 deletions(-)
diff --git a/plots/scatter-basic/implementations/highcharts.py b/plots/scatter-basic/implementations/highcharts.py
index 5bcb11a406..7c6aee8fc9 100644
--- a/plots/scatter-basic/implementations/highcharts.py
+++ b/plots/scatter-basic/implementations/highcharts.py
@@ -1,7 +1,7 @@
-"""pyplots.ai
+""" pyplots.ai
scatter-basic: Basic Scatter Plot
Library: highcharts 1.10.3 | Python 3.14
-Quality: 73/100 | Created: 2025-12-22
+Quality: 87/100 | Created: 2025-12-22
"""
import tempfile
diff --git a/plots/scatter-basic/metadata/highcharts.yaml b/plots/scatter-basic/metadata/highcharts.yaml
index 58c23560c2..32807ae010 100644
--- a/plots/scatter-basic/metadata/highcharts.yaml
+++ b/plots/scatter-basic/metadata/highcharts.yaml
@@ -1,7 +1,7 @@
library: highcharts
specification_id: scatter-basic
created: '2025-12-22T23:43:32Z'
-updated: '2026-02-14T14:33:20Z'
+updated: '2026-02-14T14:44:27Z'
generated_by: claude-opus-4-6
workflow_run: 20446960278
issue: 0
@@ -10,52 +10,57 @@ library_version: 1.10.3
preview_url: https://storage.googleapis.com/pyplots-images/plots/scatter-basic/highcharts/plot.png
preview_thumb: https://storage.googleapis.com/pyplots-images/plots/scatter-basic/highcharts/plot_thumb.png
preview_html: https://storage.googleapis.com/pyplots-images/plots/scatter-basic/highcharts/plot.html
-quality_score: 73
+quality_score: 87
impl_tags:
dependencies:
- selenium
techniques:
+ - annotations
- html-export
patterns:
- data-generation
- dataprep: []
+ dataprep:
+ - regression
styling:
- alpha-blending
- edge-highlighting
- grid-styling
review:
strengths:
- - Correct title format and clean spec compliance
- - Realistic height-vs-weight data scenario with appropriate scales
- - Explicit font sizing ensures legibility at 4800x2700 resolution
- - White marker edges provide visual separation between overlapping points
- - Alpha transparency at 0.7 as specified in the spec
- - Clean KISS code structure with proper seed for reproducibility
+ - Excellent data storytelling with outlier detection, trend line + R-squared annotation,
+ and quartile plot bands
+ - Strong Highcharts-idiomatic code using typed API (ScatterSeries, SplineSeries,
+ Annotation.from_dict)
+ - Rich tooltip formatting with HTML pointFormat is a distinctive Highcharts feature
+ - Clean, well-structured code with no unnecessary complexity
+ - Realistic height vs weight scenario with appropriate data generation
+ - 'Professional visual polish: custom typography, marker hover states, subtle grid
+ styling'
weaknesses:
- - Y-axis extends far beyond data range (to 100 when max is ~92), creating wasted
- space at the top of the chart — should use auto-scaling or set explicit min/max
- closer to data bounds
- - 'No storytelling elements: add a trend line, R-squared annotation, or callouts
- for outliers to guide the viewer'
- - Y-axis gridlines every 2 kg are too dense, creating visual noise — increase the
- tick interval
- - Marker radius=18 is slightly too large for 100 points — causes overlap in dense
- regions around 165-175 cm
- - Does not leverage Highcharts-distinctive features — consider using plotLines,
- plotBands, or data labels for a few key points
- - Design is a well-configured default rather than publication-quality — needs more
- visual refinement
- image_description: The plot displays a scatter chart of Height (cm) on the x-axis
- versus Weight (kg) on the y-axis, with approximately 100 data points. Points are
- rendered as medium-sized blue circles (Python Blue rgba(48,105,152,0.7)) with
- white edge borders against a clean white background. The title "scatter-basic
- · highcharts · pyplots.ai" appears at the top in bold. Both axes have descriptive
- labels with units. Light gray gridlines run horizontally and vertically. The data
- shows a clear positive correlation — taller individuals tend to weigh more, with
- heights ranging from ~143-186 cm and weights from ~50-92 kg. There is notable
- empty space at the top of the y-axis (which extends to 100) above the data. No
- legend is shown (single series). The design is clean and functional but visually
- straightforward with no annotations or storytelling elements.
+ - X-axis title Height (cm) is partially clipped at the bottom of the canvas — increase
+ marginBottom or spacingBottom
+ - The 190 X-axis tick label is slightly cut off at the right edge — increase marginRight
+ - Quartile plot band labels (Lower quartile, Upper quartile) are too faint at rgba
+ alpha 0.3 and 26px font size — increase opacity to at least 0.5 and font size
+ to 30px+
+ - Blue vs red color scheme for subjects/outliers relies partly on hue distinction
+ — consider using orange or a more colorblind-distinguishable color for outliers
+ while keeping diamond shape
+ image_description: The plot displays a scatter chart on a light gray (#fafbfc) background
+ titled "scatter-basic · highcharts · pyplots.ai" with a subtitle "Height vs Weight
+ — positive correlation across 100 subjects." The X-axis shows "Height (cm)" ranging
+ from approximately 142 to 190, and the Y-axis shows "Weight (kg)" ranging from
+ approximately 50 to 96. The main data points are semi-transparent blue circles
+ with white edge outlines (labeled "Subjects" in the legend). Approximately 6-7
+ outlier points are shown as dark red/crimson diamond markers (labeled "Outliers").
+ An orange long-dashed trend line runs from lower-left to upper-right showing the
+ positive correlation. An annotation box near the lower-left displays "y = 0.54x
+ -20.5 | R² = 0.29" with an orange border. The legend is positioned in the upper-right
+ corner with a white semi-transparent background and rounded corners. Very faint
+ "Lower quartile" and "Upper quartile" plot band labels appear on the left edge
+ with subtle blue-tinted background bands. Dotted grid lines provide reference
+ throughout. The X-axis title "Height (cm)" appears slightly clipped at the bottom
+ edge of the canvas.
criteria_checklist:
visual_quality:
score: 24
@@ -63,68 +68,69 @@ review:
items:
- id: VQ-01
name: Text Legibility
- score: 8
+ score: 6
max: 8
passed: true
- comment: 'All font sizes explicitly set: title 72px, axis titles 48px, tick
- labels 36px — all clearly readable'
+ comment: All font sizes explicitly set (title 64px, axis titles 44px, ticks
+ 34px). All readable, but X-axis title partially clipped at bottom edge.
- id: VQ-02
name: No Overlap
score: 6
max: 6
passed: true
- comment: No overlapping text or data elements
+ comment: No overlapping text elements. Legend doesn't overlap data.
- id: VQ-03
name: Element Visibility
- score: 4
+ score: 5
max: 6
passed: true
- comment: Markers visible with radius=18 and alpha=0.7, but slightly too large
- for 100 points causing overlap in dense regions
+ comment: Marker radius 14 with alpha 0.65 for 100 points is appropriate, though
+ slightly large causing some visual crowding.
- id: VQ-04
name: Color Accessibility
- score: 4
+ score: 3
max: 4
passed: true
- comment: Single-series Python Blue, good contrast, colorblind-safe
+ comment: Blue vs red with different shapes (circle vs diamond) helps colorblind
+ users, but blue-red hue distinction alone is not ideal.
- id: VQ-05
name: Layout & Canvas
- score: 0
+ score: 2
max: 4
- passed: false
- comment: Y-axis extends to 100 while highest data point is ~92, creating significant
- empty white space at top (~20% of plot area unused)
+ passed: true
+ comment: Plot fills good portion of canvas, but X-axis title clipped at bottom
+ and 190 tick label cut off at right edge.
- id: VQ-06
name: Axis Labels & Title
score: 2
max: 2
passed: true
- comment: 'Descriptive labels with units: Height (cm) and Weight (kg)'
+ comment: Height (cm) and Weight (kg) are descriptive with units.
design_excellence:
- score: 8
+ score: 15
max: 20
items:
- id: DE-01
name: Aesthetic Sophistication
- score: 4
+ score: 5
max: 8
passed: true
- comment: Clean white background, Python Blue markers with white edge borders.
- Looks like a well-configured default rather than truly refined design.
+ comment: Custom palette, refined typography, plot bands, subtle background.
+ Above defaults but quartile band labels too faint to serve purpose.
- id: DE-02
name: Visual Refinement
- score: 2
+ score: 5
max: 6
passed: true
- comment: Grid lines styled with light opacity but y-axis has too many gridlines
- every 2 kg creating visual noise. Default Highcharts chrome preserved.
+ comment: Dotted grid lines, custom tick styling, white marker edges, hover
+ states. Well-polished details.
- id: DE-03
name: Data Storytelling
- score: 2
+ score: 5
max: 6
passed: true
- comment: Data displayed without annotations, trend lines, or narrative emphasis.
- Viewer must discover the correlation on their own.
+ comment: Trend line with R-squared annotation, outlier highlighting, quartile
+ bands, informative subtitle. Guides viewer through data.
spec_compliance:
score: 15
max: 15
@@ -134,25 +140,25 @@ review:
score: 5
max: 5
passed: true
- comment: Correct scatter plot type
+ comment: Correct scatter plot type.
- id: SC-02
name: Required Features
score: 4
max: 4
passed: true
- comment: Transparency, axis labels, title, grid lines all present
+ comment: Transparency, axis labels, title, grid lines all present per spec.
- id: SC-03
name: Data Mapping
score: 3
max: 3
passed: true
- comment: X/Y correctly assigned (height to x, weight to y)
+ comment: X=Height, Y=Weight correctly assigned.
- id: SC-04
name: Title & Legend
score: 3
max: 3
passed: true
- comment: Title format correct, legend appropriately disabled for single series
+ comment: Title format correct. Legend labels clear and descriptive.
data_quality:
score: 14
max: 15
@@ -162,22 +168,22 @@ review:
score: 5
max: 6
passed: true
- comment: Shows positive correlation with noise and some outliers. Could benefit
- from wider range of patterns.
+ comment: Shows correlation, outliers, trend line, quartile regions. R-squared=0.29
+ is weak for demonstrating positive correlation.
- id: DQ-02
name: Realistic Context
score: 5
max: 5
passed: true
- comment: Height vs weight is a classic, neutral, real-world scenario
+ comment: Height vs Weight is a classic, universally understood, neutral scenario.
- id: DQ-03
name: Appropriate Scale
score: 4
max: 4
passed: true
- comment: Heights 143-186 cm and weights 50-92 kg are realistic human measurements
+ comment: Heights 140-190cm and weights 50-96kg are realistic human measurements.
code_quality:
- score: 9
+ score: 10
max: 10
items:
- id: CQ-01
@@ -185,48 +191,47 @@ review:
score: 3
max: 3
passed: true
- comment: 'Linear flow: imports, data, chart config, series, export, HTML save'
+ comment: 'Flat structure: imports, data, chart config, series, export.'
- id: CQ-02
name: Reproducibility
score: 2
max: 2
passed: true
- comment: np.random.seed(42) set
+ comment: np.random.seed(42) set.
- id: CQ-03
name: Clean Imports
score: 2
max: 2
passed: true
- comment: All imports are used
+ comment: All imports are used.
- id: CQ-04
name: Code Elegance
- score: 1
+ score: 2
max: 2
passed: true
- comment: Clean but slightly verbose; window-size mismatch 4800x2800 vs 2700
- chart height
+ comment: Clean, well-organized. Appropriate complexity.
- id: CQ-05
name: Output & API
score: 1
max: 1
passed: true
- comment: Saves as plot.png and plot.html
- library_mastery:
- score: 3
+ comment: Saves as plot.png via container screenshot.
+ library_features:
+ score: 9
max: 10
items:
- id: LM-01
name: Idiomatic Usage
- score: 2
+ score: 5
max: 5
passed: true
- comment: Uses highcharts-core API correctly but configures via dicts rather
- than typed Python classes
+ comment: 'Uses typed Python API: ScatterSeries, SplineSeries, HighchartsOptions,
+ Annotation.from_dict.'
- id: LM-02
name: Distinctive Features
- score: 1
+ score: 4
max: 5
passed: true
- comment: Generic scatter plot that could be replicated in any library. No
- Highcharts-distinctive features used.
+ comment: plotBands, rich HTML tooltip, Annotation objects, marker hover states,
+ SplineSeries for trend.
verdict: REJECTED
From 8f6577771d62e859b6556ee0b0c685f3f976e42f Mon Sep 17 00:00:00 2001
From: "github-actions[bot]"
Date: Sat, 14 Feb 2026 14:48:43 +0000
Subject: [PATCH 5/6] fix(highcharts): address review feedback for
scatter-basic
Attempt 2/3 - fixes based on AI review
---
.../implementations/highcharts.py | 20 +++++++++----------
1 file changed, 10 insertions(+), 10 deletions(-)
diff --git a/plots/scatter-basic/implementations/highcharts.py b/plots/scatter-basic/implementations/highcharts.py
index 7c6aee8fc9..62dc768393 100644
--- a/plots/scatter-basic/implementations/highcharts.py
+++ b/plots/scatter-basic/implementations/highcharts.py
@@ -1,4 +1,4 @@
-""" pyplots.ai
+"""pyplots.ai
scatter-basic: Basic Scatter Plot
Library: highcharts 1.10.3 | Python 3.14
Quality: 87/100 | Created: 2025-12-22
@@ -23,7 +23,7 @@
np.random.seed(42)
n_points = 100
height_cm = np.random.normal(170, 10, n_points)
-weight_kg = height_cm * 0.65 + np.random.normal(0, 8, n_points) - 40
+weight_kg = height_cm * 0.65 + np.random.normal(0, 5, n_points) - 40
# Compute linear regression for trend line
slope, intercept = np.polyfit(height_cm, weight_kg, 1)
@@ -57,9 +57,9 @@
"backgroundColor": "#fafbfc",
"style": {"fontFamily": "'Segoe UI', Helvetica, Arial, sans-serif"},
"marginTop": 160,
- "marginBottom": 200,
+ "marginBottom": 310,
"marginLeft": 220,
- "marginRight": 140,
+ "marginRight": 200,
}
# Title with refined typography
@@ -124,7 +124,7 @@
"color": "rgba(48, 105, 152, 0.03)",
"label": {
"text": "Lower quartile",
- "style": {"fontSize": "26px", "color": "rgba(48, 105, 152, 0.3)"},
+ "style": {"fontSize": "32px", "color": "rgba(48, 105, 152, 0.55)"},
"align": "left",
"x": 20,
"y": 16,
@@ -136,7 +136,7 @@
"color": "rgba(48, 105, 152, 0.03)",
"label": {
"text": "Upper quartile",
- "style": {"fontSize": "26px", "color": "rgba(48, 105, 152, 0.3)"},
+ "style": {"fontSize": "32px", "color": "rgba(48, 105, 152, 0.55)"},
"align": "left",
"x": 20,
"y": 16,
@@ -188,7 +188,7 @@
scatter.name = "Subjects"
scatter.color = "rgba(48, 105, 152, 0.65)"
scatter.marker = {
- "radius": 14,
+ "radius": 12,
"symbol": "circle",
"lineWidth": 2,
"lineColor": "#ffffff",
@@ -200,12 +200,12 @@
outlier_series = ScatterSeries()
outlier_series.data = [[float(h), float(w)] for h, w in zip(outlier_heights, outlier_weights, strict=True)]
outlier_series.name = "Outliers"
-outlier_series.color = "rgba(192, 57, 43, 0.75)"
+outlier_series.color = "rgba(211, 84, 0, 0.80)"
outlier_series.marker = {
- "radius": 16,
+ "radius": 15,
"symbol": "diamond",
"lineWidth": 2,
- "lineColor": "#c0392b",
+ "lineColor": "#d35400",
"states": {"hover": {"radiusPlus": 4}},
}
outlier_series.z_index = 3
From a5a3836e10c9b1ecd993977532eda63b089c21ef Mon Sep 17 00:00:00 2001
From: "github-actions[bot]"
Date: Sat, 14 Feb 2026 14:53:29 +0000
Subject: [PATCH 6/6] chore(highcharts): update quality score 91 and review
feedback for scatter-basic
---
.../implementations/highcharts.py | 4 +-
plots/scatter-basic/metadata/highcharts.yaml | 156 +++++++++---------
2 files changed, 77 insertions(+), 83 deletions(-)
diff --git a/plots/scatter-basic/implementations/highcharts.py b/plots/scatter-basic/implementations/highcharts.py
index 62dc768393..c7859256df 100644
--- a/plots/scatter-basic/implementations/highcharts.py
+++ b/plots/scatter-basic/implementations/highcharts.py
@@ -1,7 +1,7 @@
-"""pyplots.ai
+""" pyplots.ai
scatter-basic: Basic Scatter Plot
Library: highcharts 1.10.3 | Python 3.14
-Quality: 87/100 | Created: 2025-12-22
+Quality: 91/100 | Created: 2025-12-22
"""
import tempfile
diff --git a/plots/scatter-basic/metadata/highcharts.yaml b/plots/scatter-basic/metadata/highcharts.yaml
index 32807ae010..de81332ae4 100644
--- a/plots/scatter-basic/metadata/highcharts.yaml
+++ b/plots/scatter-basic/metadata/highcharts.yaml
@@ -1,7 +1,7 @@
library: highcharts
specification_id: scatter-basic
created: '2025-12-22T23:43:32Z'
-updated: '2026-02-14T14:44:27Z'
+updated: '2026-02-14T14:53:29Z'
generated_by: claude-opus-4-6
workflow_run: 20446960278
issue: 0
@@ -10,7 +10,7 @@ library_version: 1.10.3
preview_url: https://storage.googleapis.com/pyplots-images/plots/scatter-basic/highcharts/plot.png
preview_thumb: https://storage.googleapis.com/pyplots-images/plots/scatter-basic/highcharts/plot_thumb.png
preview_html: https://storage.googleapis.com/pyplots-images/plots/scatter-basic/highcharts/plot.html
-quality_score: 87
+quality_score: 91
impl_tags:
dependencies:
- selenium
@@ -27,110 +27,103 @@ impl_tags:
- grid-styling
review:
strengths:
- - Excellent data storytelling with outlier detection, trend line + R-squared annotation,
- and quartile plot bands
- - Strong Highcharts-idiomatic code using typed API (ScatterSeries, SplineSeries,
- Annotation.from_dict)
- - Rich tooltip formatting with HTML pointFormat is a distinctive Highcharts feature
- - Clean, well-structured code with no unnecessary complexity
- - Realistic height vs weight scenario with appropriate data generation
- - 'Professional visual polish: custom typography, marker hover states, subtle grid
- styling'
+ - Excellent data storytelling with regression equation annotation, R-squared display,
+ outlier highlighting, and quartile plot bands
+ - Publication-quality typography and color scheme with intentional hierarchy (title,
+ subtitle, axis, tick labels)
+ - 'Strong use of Highcharts-distinctive features: rich HTML tooltips, annotations
+ module, plot bands, marker hover states, shadow tooltips'
+ - Dual output (static PNG + interactive HTML) showcasing Highcharts interactive
+ capability
+ - Realistic health/biometric dataset with plausible values and meaningful statistical
+ overlay
weaknesses:
- - X-axis title Height (cm) is partially clipped at the bottom of the canvas — increase
- marginBottom or spacingBottom
- - The 190 X-axis tick label is slightly cut off at the right edge — increase marginRight
- - Quartile plot band labels (Lower quartile, Upper quartile) are too faint at rgba
- alpha 0.3 and 26px font size — increase opacity to at least 0.5 and font size
- to 30px+
- - Blue vs red color scheme for subjects/outliers relies partly on hue distinction
- — consider using orange or a more colorblind-distinguishable color for outliers
- while keeping diamond shape
- image_description: The plot displays a scatter chart on a light gray (#fafbfc) background
- titled "scatter-basic · highcharts · pyplots.ai" with a subtitle "Height vs Weight
- — positive correlation across 100 subjects." The X-axis shows "Height (cm)" ranging
- from approximately 142 to 190, and the Y-axis shows "Weight (kg)" ranging from
- approximately 50 to 96. The main data points are semi-transparent blue circles
- with white edge outlines (labeled "Subjects" in the legend). Approximately 6-7
- outlier points are shown as dark red/crimson diamond markers (labeled "Outliers").
- An orange long-dashed trend line runs from lower-left to upper-right showing the
- positive correlation. An annotation box near the lower-left displays "y = 0.54x
- -20.5 | R² = 0.29" with an orange border. The legend is positioned in the upper-right
- corner with a white semi-transparent background and rounded corners. Very faint
- "Lower quartile" and "Upper quartile" plot band labels appear on the left edge
- with subtle blue-tinted background bands. Dotted grid lines provide reference
- throughout. The X-axis title "Height (cm)" appears slightly clipped at the bottom
- edge of the canvas.
+ - 'Margins are generous (especially marginBottom: 310) leading to slightly suboptimal
+ canvas utilization'
+ - Some chart options are set as raw dicts rather than using Highcharts-Core typed
+ objects consistently
+ image_description: 'The plot displays a scatter chart of Height (cm) vs Weight (kg)
+ on a light gray (#fafbfc) background. Blue circular markers with white outlines
+ represent 100 "Subjects" data points, while orange diamond markers highlight statistical
+ outliers. An orange dashed trend line runs diagonally from lower-left to upper-right,
+ showing the positive correlation. The title reads "scatter-basic · highcharts
+ · pyplots.ai" in dark text with a subtitle "Height vs Weight — positive correlation
+ across 100 subjects" in gray. A floating legend in the upper-right lists three
+ series: Subjects (blue circle), Outliers (orange diamond), and Trend (R² = 0.55).
+ An annotation box near the lower-left displays the regression equation "y = 0.58x
+ -27.8 | R² = 0.55" with an orange border. Subtle light-blue horizontal plot bands
+ mark the "Lower quartile" and "Upper quartile" regions with labeled text. Both
+ axes have dotted grid lines, labeled ticks at 5-unit intervals, and descriptive
+ titles with units.'
criteria_checklist:
visual_quality:
- score: 24
+ score: 27
max: 30
items:
- id: VQ-01
name: Text Legibility
- score: 6
+ score: 8
max: 8
passed: true
- comment: All font sizes explicitly set (title 64px, axis titles 44px, ticks
- 34px). All readable, but X-axis title partially clipped at bottom edge.
+ comment: 'All font sizes explicitly set: title 64px, axis titles 44px, tick
+ labels 34px, legend 30px, annotations 34px'
- id: VQ-02
name: No Overlap
score: 6
max: 6
passed: true
- comment: No overlapping text elements. Legend doesn't overlap data.
+ comment: No overlapping text elements anywhere
- id: VQ-03
name: Element Visibility
score: 5
max: 6
passed: true
- comment: Marker radius 14 with alpha 0.65 for 100 points is appropriate, though
- slightly large causing some visual crowding.
+ comment: Markers radius 12 with alpha 0.65 well-sized for 100 points; outliers
+ distinguished with larger diamonds
- id: VQ-04
name: Color Accessibility
- score: 3
+ score: 4
max: 4
passed: true
- comment: Blue vs red with different shapes (circle vs diamond) helps colorblind
- users, but blue-red hue distinction alone is not ideal.
+ comment: Blue and orange are colorblind-safe with strong luminance contrast
- id: VQ-05
- name: Layout & Canvas
+ name: Layout Balance
score: 2
max: 4
- passed: true
- comment: Plot fills good portion of canvas, but X-axis title clipped at bottom
- and 190 tick label cut off at right edge.
+ passed: false
+ comment: Large explicit margins (marginBottom 310, marginLeft 220) consume
+ significant canvas space
- id: VQ-06
name: Axis Labels & Title
score: 2
max: 2
passed: true
- comment: Height (cm) and Weight (kg) are descriptive with units.
+ comment: 'Descriptive labels with units: Height (cm) and Weight (kg)'
design_excellence:
- score: 15
+ score: 16
max: 20
items:
- id: DE-01
name: Aesthetic Sophistication
- score: 5
+ score: 7
max: 8
passed: true
- comment: Custom palette, refined typography, plot bands, subtle background.
- Above defaults but quartile band labels too faint to serve purpose.
+ comment: Custom palette, refined typography, white marker outlines, dotted
+ grid, styled tooltips — approaching publication quality
- id: DE-02
name: Visual Refinement
score: 5
max: 6
passed: true
- comment: Dotted grid lines, custom tick styling, white marker edges, hover
- states. Well-polished details.
+ comment: Dotted grid with low opacity, subtle borders, rounded corners, generous
+ whitespace
- id: DE-03
name: Data Storytelling
- score: 5
+ score: 4
max: 6
passed: true
- comment: Trend line with R-squared annotation, outlier highlighting, quartile
- bands, informative subtitle. Guides viewer through data.
+ comment: Regression annotation with equation and R-squared, outlier highlighting,
+ quartile bands, subtitle context
spec_compliance:
score: 15
max: 15
@@ -140,48 +133,49 @@ review:
score: 5
max: 5
passed: true
- comment: Correct scatter plot type.
+ comment: Correct scatter plot chart type
- id: SC-02
name: Required Features
score: 4
max: 4
passed: true
- comment: Transparency, axis labels, title, grid lines all present per spec.
+ comment: Transparency, axis labels, title, grid lines, appropriate point sizing
+ all present
- id: SC-03
name: Data Mapping
score: 3
max: 3
passed: true
- comment: X=Height, Y=Weight correctly assigned.
+ comment: X=Height, Y=Weight correctly mapped with tight axis bounds
- id: SC-04
name: Title & Legend
score: 3
max: 3
passed: true
- comment: Title format correct. Legend labels clear and descriptive.
+ comment: Title format correct, legend labels descriptive and match data
data_quality:
- score: 14
+ score: 15
max: 15
items:
- id: DQ-01
name: Feature Coverage
- score: 5
+ score: 6
max: 6
passed: true
- comment: Shows correlation, outliers, trend line, quartile regions. R-squared=0.29
- is weak for demonstrating positive correlation.
+ comment: Shows correlation, outliers, trend line, density variation, quartile
+ distribution
- id: DQ-02
name: Realistic Context
score: 5
max: 5
passed: true
- comment: Height vs Weight is a classic, universally understood, neutral scenario.
+ comment: Height vs Weight health/biometric context is real and neutral
- id: DQ-03
name: Appropriate Scale
score: 4
max: 4
passed: true
- comment: Heights 140-190cm and weights 50-96kg are realistic human measurements.
+ comment: Heights 140-190cm, weights 54-90kg are realistic human measurements
code_quality:
score: 10
max: 10
@@ -191,47 +185,47 @@ review:
score: 3
max: 3
passed: true
- comment: 'Flat structure: imports, data, chart config, series, export.'
+ comment: 'Linear flow: imports, data, config, series, export'
- id: CQ-02
name: Reproducibility
score: 2
max: 2
passed: true
- comment: np.random.seed(42) set.
+ comment: np.random.seed(42) set
- id: CQ-03
name: Clean Imports
score: 2
max: 2
passed: true
- comment: All imports are used.
+ comment: All imports are used
- id: CQ-04
name: Code Elegance
score: 2
max: 2
passed: true
- comment: Clean, well-organized. Appropriate complexity.
+ comment: Clean, well-organized, appropriate complexity
- id: CQ-05
name: Output & API
score: 1
max: 1
passed: true
- comment: Saves as plot.png via container screenshot.
+ comment: Saves as plot.png via container.screenshot()
library_features:
- score: 9
+ score: 8
max: 10
items:
- id: LM-01
name: Idiomatic Usage
- score: 5
+ score: 4
max: 5
passed: true
- comment: 'Uses typed Python API: ScatterSeries, SplineSeries, HighchartsOptions,
- Annotation.from_dict.'
+ comment: Typed API (ScatterSeries, SplineSeries), chart.options pattern, add_series(),
+ to_js_literal()
- id: LM-02
name: Distinctive Features
score: 4
max: 5
passed: true
- comment: plotBands, rich HTML tooltip, Annotation objects, marker hover states,
- SplineSeries for trend.
- verdict: REJECTED
+ comment: Rich HTML tooltips, Annotation module, plot bands, marker hover states,
+ shadow config, interactive HTML export
+ verdict: APPROVED